Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
17-a-hydroxyprogesterone |
Estimate of Within-subject 19.6
Within-subject calculated CI
17.07
to
22.99
Estimate of Between-subject 52.4 Between-subject calculated CI 38.37 to 81.57 |
ID: 0137
Ricós C and Arbós MA, 1990, Ann Clin Biochem, 27, 353-8 , Quality goals for hormone testing |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 6 Number of females 9 | C4,8,10 |
17-a-hydroxyprogesterone |
Estimate of Within-subject 33.8
Within-subject calculated CI
28.67
to
41.16
Estimate of Between-subject 60.7 Between-subject calculated CI 43.60 to 95.61 |
ID: 0474
Van der Veen A, van Faassen M, De Jong WHA et al, 2019, Clin Biochem, , , Development and validation of a LC-MS/MS method for the establishment of reference intervals and biological variation for five plasma steroid hormones |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males Number of females 15 | B14 |
17-a-hydroxyprogesterone |
Estimate of Within-subject 24.4
Within-subject calculated CI
20.70
to
29.72
Estimate of Between-subject 27.6 Between-subject calculated CI 18.87 to 44.61 |
ID: 0474
Van der Veen A, van Faassen M, De Jong WHA et al, 2019, Clin Biochem, , , Development and validation of a LC-MS/MS method for the establishment of reference intervals and biological variation for five plasma steroid hormones |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 15 Number of females | B14 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
25-hydroxy vitamin D3 |
Estimate of Within-subject 47.0
Within-subject calculated CI
40.56
to
55.86
Estimate of Between-subject 64.3 Between-subject calculated CI 43.93 to 111.52 |
ID: 0576
Brescia V, Tampoia M, Cardinali R, 2013, Lab Med, 44(1), 20–24 , Biological Variability of Serum 25-Hydroxyvitamin D and Other Biomarkers in Healthy Subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 5 Number of females 6 | C8,10 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 6.4
Within-subject calculated CI
5.88
to
7.02
Estimate of Between-subject 36.2 Between-subject calculated CI 29.08 to 47.92 |
ID: 0581
Cavalier E, Fraser CG, Bhattoa HP, Heijboer AC, Makris K , Ulmer CZ , Vesper HW, Vasikaran S, Lukas P, Delanaye P, Carobene A, m, 2021 , Nutrients, 13(2):431, , Analytical Performance Specifications for 25-Hydroxyvitamin D Examinations |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 6.3
Within-subject calculated CI
5.86
to
6.81
Estimate of Between-subject Between-subject calculated CI to |
ID: 0581
Cavalier E, Fraser CG, Bhattoa HP, Heijboer AC, Makris K , Ulmer CZ , Vesper HW, Vasikaran S, Lukas P, Delanaye P, Carobene A, m, 2021 , Nutrients, 13(2):431, , Analytical Performance Specifications for 25-Hydroxyvitamin D Examinations |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 6.2
Within-subject calculated CI
5.45
to
7.18
Estimate of Between-subject 18.6 Between-subject calculated CI 13.54 to 29.45 |
ID: 0581
Cavalier E, Fraser CG, Bhattoa HP, Heijboer AC, Makris K , Ulmer CZ , Vesper HW, Vasikaran S, Lukas P, Delanaye P, Carobene A, m, 2021 , Nutrients, 13(2):431, , Analytical Performance Specifications for 25-Hydroxyvitamin D Examinations |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 10.0
Within-subject calculated CI
8.04
to
12.99
Estimate of Between-subject 47.0 Between-subject calculated CI 32.67 to 82.75 |
ID: 0569
Cokluk E, Akbay HI, Alp HH, 2021, Clin Lab, 67(9), , Biological Variation of Iron, Transferrin, Ferritin, Folate, Vitamin B12 and 25-OH Vitamin D in Healthy Individuals |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females 0 | B1,6 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 8.21
Within-subject calculated CI
6.95
to
9.93
Estimate of Between-subject 54.9 Between-subject calculated CI 42.16 to 78.56 |
ID: 0569
Cokluk E, Akbay HI, Alp HH, 2021, Clin Lab, 67(9), , Biological Variation of Iron, Transferrin, Ferritin, Folate, Vitamin B12 and 25-OH Vitamin D in Healthy Individuals |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 21 Number of males 10 Number of females 11 | B1,6 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 8.0
Within-subject calculated CI
6.51
to
10.24
Estimate of Between-subject 63.0 Between-subject calculated CI 44.55 to 107.09 |
ID: 0569
Cokluk E, Akbay HI, Alp HH, 2021, Clin Lab, 67(9), , Biological Variation of Iron, Transferrin, Ferritin, Folate, Vitamin B12 and 25-OH Vitamin D in Healthy Individuals |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 0 Number of females 11 | B1,6 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 13.1
Within-subject calculated CI
11.34
to
15.45
Estimate of Between-subject 37.6 Between-subject calculated CI 28.18 to 55.92 |
ID: 0519
Corte Z, Venta R, 2020, Ann Transl Med, 8(6), 281-91 , Biological variation of metabolic cardiovascular risk factors in haemodialysis patients and healthy individuals |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 18 Number of males 7 Number of females 11 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 12.8
Within-subject calculated CI
10.48
to
16.31
Estimate of Between-subject 23.0 Between-subject calculated CI 15.72 to 39.86 |
ID: 0519
Corte Z, Venta R, 2020, Ann Transl Med, 8(6), 281-91 , Biological variation of metabolic cardiovascular risk factors in haemodialysis patients and healthy individuals |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 3 Number of females 8 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 14.9
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0578
Hofmann JN, Yu K, Horst RL, Hayes RB, Purdue MP, 2010, Cancer Epidemiol Biomarkers Prev, 19(4), 927-931. , Long-term Variation in Serum 25-Hydroxyvitamin D Concentration among Participants in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 28 Number of males 18 Number of females 10 | C6,8,10,11,13 |
25-hydroxy vitamin D3 |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0575
Jakobsen J, Bysted A, Andersen R, Bennett T, Brot C, Bügel S, Cashman KD, Denk E, Harrington M, Teucher B, Walczyk T,Ovesen L, 2009, Scand J Clin Lab Invest, 69(2), 190–197 , Vitamin D status assessed by a validated HPLC method: within and between variation in subjects supplemented with vitamin D3 |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 92 Number of males 0 Number of females 92 | D2 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 21.2
Within-subject calculated CI
19.64
to
22.89
Estimate of Between-subject Between-subject calculated CI 35.44 to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 828 Number of males Number of females | C5,7,10 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 11.6
Within-subject calculated CI
9.25
to
13.51
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 212 Number of males 212 Number of females | C5,7,10 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 11.6
Within-subject calculated CI
9.48
to
13.36
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 248 Number of males Number of females 248 | C5,7,10 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 6.9
Within-subject calculated CI
4.95
to
8.30
Estimate of Between-subject 31.4 Between-subject calculated CI 28.18 to 35.40 |
ID: 0427
Lutsey P, Parrinello CM, Misialek JR et al, 2016, Clin Chem, 12, 1647-53 , Short-term variability of vitamin D-related biomarkers |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 160 Number of males 64 Number of females 96 | C5,7,8,10,11,13 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 25.0
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0577
Meng JE, Hovey KM, Wactawski-Wende J, Adrews CA, LaMonte MJ, Horst RL, Genco RJ, Millen AE, 2012, Cancer Epidemiol Biomarkers Prev, 21(6), 916-924 , Intraindividual Variation in Plasma 25-Hydroxyvitamin D Measures 5 Years Apart among Postmenopausal Women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 672 Number of males 0 Number of females 672 | D2 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 14.0
Within-subject calculated CI
to
Estimate of Between-subject 22.0 Between-subject calculated CI to |
ID: 0580
Midttun Ø, Townsend MK, Nyga ̊rd O, Tworoger SS, Brennan P,Johansson M, Ueland PM, 2014, J Nutr, 144(5), 784-90 , Most Blood Biomarkers Related to Vitamin Status, One-Carbon Metabolism, and the Kynurenine Pathway Show Adequate Preanalytical Stability and Within-Person Reproducibility to Allow Assessment of Exposure or Nutritional Status in Healthy Women and Cardiovascular Patients |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males 0 Number of females 40 | D2 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 19.0
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0579
Rejnmark L, Lauridsen AL, Brot C, Vestergaard P, Heickendorff L, Nexo E, Mosekilde L, 2006, Scand J Clin Lab Invest, 66, 227–238 , Vitamin D and its binding protein Gc: Long-term variability in peri- and postmenopausal women with and without hormone replacement therapy |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 187 Number of males Number of females 187 | C5,6,8,10,12,13 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 21.0
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0579
Rejnmark L, Lauridsen AL, Brot C, Vestergaard P, Heickendorff L, Nexo E, Mosekilde L, 2006, Scand J Clin Lab Invest, 66, 227–238 , Vitamin D and its binding protein Gc: Long-term variability in peri- and postmenopausal women with and without hormone replacement therapy |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 89 Number of males Number of females 89 | C5,6,8,10,12,13 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 18.0
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0579
Rejnmark L, Lauridsen AL, Brot C, Vestergaard P, Heickendorff L, Nexo E, Mosekilde L, 2006, Scand J Clin Lab Invest, 66, 227–238 , Vitamin D and its binding protein Gc: Long-term variability in peri- and postmenopausal women with and without hormone replacement therapy |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 98 Number of males Number of females 98 | C5,6,8,10,12,13 |
25-hydroxy vitamin D3 |
Estimate of Within-subject 12.1
Within-subject calculated CI
10.18
to
14.63
Estimate of Between-subject 40.3 Between-subject calculated CI 30.60 to 58.51 |
ID: 0249
Viljoen A, Singh DK, Farrington K and Twomey PJ, 2011, J Clin Lab Anal, 25, 130-3 , Analytical quality goals for 25-vitamin D based on biological variation |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10 | C7,8,10,12,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
3-hydroxybutyrate |
Estimate of Within-subject 61.0
Within-subject calculated CI
54.39
to
69.44
Estimate of Between-subject 41.0 Between-subject calculated CI 26.55 to 71.53 |
ID: 0293
Widjaja A, Morris RJ, Levy JC, Frayn KN, Manley SE and Turner RC, 1999, Clin Chem , 45, 561-6 , Within- and between-subject variationin comoly measured anthropometricand biochemical variables. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 6 Number of females 6 | C8,10 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
5-Hydroxyindoleacetate (5HIAA) |
Estimate of Within-subject 12.3
Within-subject calculated CI
8.57
to
16.00
Estimate of Between-subject 20.4 Between-subject calculated CI 15.82 to 26.77 |
ID: 0446
Curtin F, Walker JP and Schulz P, 1996, J Affect Dissord, 38, 173-8 , Day-to-day intraindividual reliability and interindividual differences in monoamines excretion |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 44 Number of males 44 Number of females | C7,8,10,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
a-1 antitrypsin |
Estimate of Within-subject 5.0
Within-subject calculated CI
2.94
to
6.51
Estimate of Between-subject 13.0 Between-subject calculated CI 9.34 to 20.75 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16 | C10,12 |
a-1 antitrypsin |
Estimate of Within-subject 3.6
Within-subject calculated CI
3.31
to
3.93
Estimate of Between-subject 8.1 Between-subject calculated CI 6.56 to 10.53 |
ID: 0483
Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
a-1 antitrypsin |
Estimate of Within-subject 3.8
Within-subject calculated CI
3.60
to
4.02
Estimate of Between-subject 10.1 Between-subject calculated CI 8.77 to 11.90 |
ID: 0483
Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
a-1 antitrypsin |
Estimate of Within-subject 4.03
Within-subject calculated CI
3.76
to
4.34
Estimate of Between-subject 10.6 Between-subject calculated CI 8.84 to 13.21 |
ID: 0483
Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
a-1 antitrypsin |
Estimate of Within-subject 13.5
Within-subject calculated CI
12.19
to
15.12
Estimate of Between-subject 18.3 Between-subject calculated CI 13.63 to 27.11 |
ID: 0024
Clark GH, Fraser CG. , 1993, Ann Clin Biochem, 30, 373-76 , Biological variation of acute phase proteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 19 Number of males 9 Number of females 10 | C7,8,10,12,13 |
a-1 antitrypsin |
Estimate of Within-subject 4.8
Within-subject calculated CI
3.90
to
5.99
Estimate of Between-subject Between-subject calculated CI to |
ID: 0264
Franzini C, Scapellato G and Vanoni G, 1993, Biochim Clin, 17, 315-9 , Variabilità bologica ed analitica della anti-streptolisina O e di proteine della fase acuta del siero |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 4 Number of females 8 | C7,10 |
a-1 antitrypsin |
Estimate of Within-subject 2.9
Within-subject calculated CI
0.00
to
4.68
Estimate of Between-subject 15.7 Between-subject calculated CI 11.41 to 24.88 |
ID: 0153
Statland BE, Winkel P and Killingsworth LM, 1976, Clin Chem, 22, 1635-8 , Factors Contributing to Intra-Individual Variation of Serum Constituents: 6. Physiological Day-to-Day Variation in Concentrations of 10 Specific Proteins in Sera of Healthy Subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 8 Number of females 6 | C8,10,12,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
a-2 macroglobulin level |
Estimate of Within-subject 3.1
Within-subject calculated CI
0.00
to
4.28
Estimate of Between-subject 16.6 Between-subject calculated CI 12.10 to 26.26 |
ID: 0153
Statland BE, Winkel P and Killingsworth LM, 1976, Clin Chem, 22, 1635-8 , Factors Contributing to Intra-Individual Variation of Serum Constituents: 6. Physiological Day-to-Day Variation in Concentrations of 10 Specific Proteins in Sera of Healthy Subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 8 Number of females 6 | C8,10,12,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Actual bicarbonate |
Estimate of Within-subject 4.0
Within-subject calculated CI
3.38
to
4.74
Estimate of Between-subject 4.8 Between-subject calculated CI 3.37 to 7.77 |
ID: 0068
Harding PJ, Fraser CG, 1987, Clin Chem , 33, 1416-8 , Biological variation of blood acid-base status: consequences for analytical goal-setting and interpretation of results |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 9 Number of females 5 | C7,8,10 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Adiponectin |
Estimate of Within-subject 15.9
Within-subject calculated CI
13.12
to
19.52
Estimate of Between-subject 48.1 Between-subject calculated CI 34.17 to 79.87 |
ID: 0488
Aziz N, Detels R, Quint JJ, Gjertson D, Ryner T, Butch AW, 2019, BMC Immunol, 20(33), , Biological variation of immunological blood biomarkers in healthy individuals and quality goals for biomarker tests |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 6 Number of females 6 | C4,5,8,10,11,12,13 |
Adiponectin |
Estimate of Within-subject 1.4
Within-subject calculated CI
0.00
to
3.96
Estimate of Between-subject 4.35 Between-subject calculated CI 2.62 to 8.15 |
ID: 0287
Belobrajdic DP, Priebe IK, Forbes B, Flyvbjerg A, Chen JW, Cosgrove LJ, Frystyk J and Saunders IW, 2008, Growth Hormone and IGF Res, 18, 198-204 , Assessing the potential usefulness of IGF-related peptides and adiponectin for predicting disease risk |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 6 Number of females 4 | C8,12,13 |
Adiponectin |
Estimate of Within-subject 12.2
Within-subject calculated CI
8.02
to
17.72
Estimate of Between-subject 38.6 Between-subject calculated CI 26.44 to 68.53 |
ID: 0199
Shand B, Elder P, Scott R Frampton C and Willis J, 2006, Clin Chem Lab Med, 44, 1264-8 , Biovariabiity of plasma adiponectin |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5 | C8,10,12,13 |
Adiponectin |
Estimate of Within-subject 18.8
Within-subject calculated CI
14.65
to
25.56
Estimate of Between-subject 51.2 Between-subject calculated CI 35.05 to 90.94 |
ID: 0199
Shand B, Elder P, Scott R Frampton C and Willis J, 2006, Clin Chem Lab Med, 44, 1264-8 , Biovariabiity of plasma adiponectin |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5 | C8,10,12,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Adrenaline |
Estimate of Within-subject 45.9
Within-subject calculated CI
37.94
to
58.10
Estimate of Between-subject 85.3 Between-subject calculated CI 67.72 to 110.68 |
ID: 0446
Curtin F, Walker JP and Schulz P, 1996, J Affect Dissord, 38, 173-8 , Day-to-day intraindividual reliability and interindividual differences in monoamines excretion |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 44 Number of males 44 Number of females | C7,8,10,13 |
Adrenaline |
Estimate of Within-subject 135.0
Within-subject calculated CI
129.25
to
141.29
Estimate of Between-subject 54.0 Between-subject calculated CI 36.90 to 93.75 |
ID: 0431
Hansen AM, Garde AH, Skovgaard LT and Chistensen JM, 2001, Clin Chim Acta, 309, 25-35 , Seasonal and biological variation of urinary epinephrine, norepinephrine, and cortisol in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12 | C7,8,10,13 |
Adrenaline |
Estimate of Within-subject 89.0
Within-subject calculated CI
85.18
to
93.18
Estimate of Between-subject 57.0 Between-subject calculated CI 39.82 to 97.64 |
ID: 0431
Hansen AM, Garde AH, Skovgaard LT and Chistensen JM, 2001, Clin Chim Acta, 309, 25-35 , Seasonal and biological variation of urinary epinephrine, norepinephrine, and cortisol in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12 | C7,8,10,13 |
Adrenaline |
Estimate of Within-subject 161.0
Within-subject calculated CI
146.36
to
173.26
Estimate of Between-subject 21.0 Between-subject calculated CI 4.57 to 44.93 |
ID: 0431
Hansen AM, Garde AH, Skovgaard LT and Chistensen JM, 2001, Clin Chim Acta, 309, 25-35 , Seasonal and biological variation of urinary epinephrine, norepinephrine, and cortisol in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12 | C7,8,10,13 |
Adrenaline |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0447
Li XS, Li S, Wynveen P et al. , 2014, Anal Bioanal Chem, 406, 7287-97 , Development and validation of a specific and sensitive LC-MS/MS method for quantification of urinary catecholamines and application in biological variation studies |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 25 Number of males 10 Number of females 15 | C7,8,10,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Alanine transaminase (ALT) |
Estimate of Within-subject 15.6
Within-subject calculated CI
11.76
to
18.85
Estimate of Between-subject 27.7 Between-subject calculated CI 21.42 to 38.00 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 16 Number of females 13 | C10,13 |
Alanine transaminase (ALT) |
Estimate of Within-subject 9.6
Within-subject calculated CI
8.82
to
10.46
Estimate of Between-subject 25.2 Between-subject calculated CI 21.06 to 31.29 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Alanine transaminase (ALT) |
Estimate of Within-subject 9.3
Within-subject calculated CI
8.70
to
9.95
Estimate of Between-subject 28.0 Between-subject calculated CI 24.34 to 32.92 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Alanine transaminase (ALT) |
Estimate of Within-subject 10.1
Within-subject calculated CI
9.14
to
11.19
Estimate of Between-subject 28.2 Between-subject calculated CI 22.83 to 36.76 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Alanine transaminase (ALT) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0298
Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females | D4 |
Alanine transaminase (ALT) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0027
Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126 | D4 |
Alanine transaminase (ALT) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0297
Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni” |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females | D4 |
Alanine transaminase (ALT) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0046
Fraser CG, Williams P, 1983, Clin Chem, 29, 508-10 , Short-term biological variation of plasma analytes in renal disease |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males Number of females | D4 |
Alanine transaminase (ALT) |
Estimate of Within-subject 14.1
Within-subject calculated CI
12.04
to
16.89
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11 | C4,8,13 |
Alanine transaminase (ALT) |
Estimate of Within-subject 13.0
Within-subject calculated CI
11.37
to
15.09
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 16 Number of males 16 Number of females | C4,8,13 |
Alanine transaminase (ALT) |
Estimate of Within-subject 14.4
Within-subject calculated CI
12.22
to
17.41
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females | C4,8,13 |
Alanine transaminase (ALT) |
Estimate of Within-subject 15.7
Within-subject calculated CI
13.67
to
18.37
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males Number of females 14 | C4,8,13 |
Alanine transaminase (ALT) |
Estimate of Within-subject 20.3
Within-subject calculated CI
19.31
to
21.39
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 796 Number of males Number of females | C5,7,10 |
Alanine transaminase (ALT) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects Number of males Number of females | D4 |
Alanine transaminase (ALT) |
Estimate of Within-subject 22.9
Within-subject calculated CI
21.40
to
24.62
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 416 Number of males Number of females 416 | C5,7,10 |
Alanine transaminase (ALT) |
Estimate of Within-subject 18.2
Within-subject calculated CI
16.93
to
19.66
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 380 Number of males 380 Number of females | C5,7,10 |
Alanine transaminase (ALT) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1726 Number of males 1726 Number of females | D4 |
Alanine transaminase (ALT) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0271
Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 640 Number of males 256 Number of females 384 | D4 |
Alanine transaminase (ALT) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0299
Pascoe P and Gallagher CS, 1984, Cin Chem, 30, 583-4 , Components of biological variation of some serum analytes in hospitalized pregnant women |
State Of Wellbeing Pregnant Number of Subjects 15 Number of males Number of females 15 | D4 |
Alanine transaminase (ALT) |
Estimate of Within-subject 23.9
Within-subject calculated CI
21.52
to
26.72
Estimate of Between-subject 47.7 Between-subject calculated CI 40.15 to 58.28 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 64 | C8,13 |
Alanine transaminase (ALT) |
Estimate of Within-subject 19.4
Within-subject calculated CI
17.43
to
21.64
Estimate of Between-subject 44.7 Between-subject calculated CI 38.04 to 53.90 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 71 Number of females | C8,13 |
Alanine transaminase (ALT) |
Estimate of Within-subject 17.3
Within-subject calculated CI
15.30
to
19.50
Estimate of Between-subject 40.4 Between-subject calculated CI 34.03 to 49.41 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males Number of females 62 | C8,13 |
Alanine transaminase (ALT) |
Estimate of Within-subject 14.0
Within-subject calculated CI
11.96
to
16.01
Estimate of Between-subject 36.5 Between-subject calculated CI 30.54 to 45.10 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 56 Number of males 56 Number of females | C8,13 |
Alanine transaminase (ALT) |
Estimate of Within-subject 3.57
Within-subject calculated CI
3.17
to
4.06
Estimate of Between-subject 12.56 Between-subject calculated CI 10.27 to 16.13 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males 21 Number of females 19 | C8,10 |
Alanine transaminase (ALT) |
Estimate of Within-subject 6.7
Within-subject calculated CI
4.74
to
9.94
Estimate of Between-subject 83.9 Between-subject calculated CI 59.36 to 142.57 |
ID: 0266
Statland BE, Winkel P and Bokelund H, 1973, Clin Chem, 19, 1374-9 , Factors contributing to intra-individual variation of serum constituents: 1. within-day variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | D4 |
Alanine transaminase (ALT) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 791 Number of males Number of females | D4 |
Alanine transaminase (ALT) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0166
Winkel P, Statland BE and Bokelund H, 1974, Clin Chem, 20, 1520-7 , Factors Contributing to Intra-Individual Variation of serum constituents: 5. Short-Term day-to-day and within-hour variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | D4 |
Alanine transaminase (ALT) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0168
Young DS, Harris EK and Cotlove E, 1971, Clin Chem, 17, 403-10 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. IV. Results of a study designed to eliminate long-term analytic deviations. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 9 Number of females | D4 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Albumin |
Estimate of Within-subject 2.3
Within-subject calculated CI
0.00
to
5.78
Estimate of Between-subject 4.7 Between-subject calculated CI 1.97 to 30.70 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16 | C10,12 |
Albumin |
Estimate of Within-subject 2.5
Within-subject calculated CI
2.36
to
2.66
Estimate of Between-subject 5.1 Between-subject calculated CI 4.43 to 6.00 |
ID: 0483
Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Albumin |
Estimate of Within-subject 2.5
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males 6 Number of females 7 | C10,12 |
Albumin |
Estimate of Within-subject 2.1
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 4 Number of females 4 | C10,12 |
Albumin |
Estimate of Within-subject 1.5
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 4 Number of females 5 | C10,12 |
Albumin |
Estimate of Within-subject 3.2
Within-subject calculated CI
2.68
to
3.90
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0298
Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females | C8,10,13 |
Albumin |
Estimate of Within-subject 2.5
Within-subject calculated CI
2.22
to
2.84
Estimate of Between-subject 3.7 Between-subject calculated CI 2.76 to 5.48 |
ID: 0024
Clark GH, Fraser CG. , 1993, Ann Clin Biochem, 30, 373-76 , Biological variation of acute phase proteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 19 Number of males 9 Number of females 10 | C8,10,12,13 |
Albumin |
Estimate of Within-subject 3.2
Within-subject calculated CI
3.01
to
3.38
Estimate of Between-subject Between-subject calculated CI to |
ID: 0027
Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126 | C4,8,10,13 |
Albumin |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0288
Cotlove E, Harris EK and Williams GZ, 1970, Clin Chem, 16, 1028-32 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 68 Number of males 33 Number of females 35 | D4 |
Albumin |
Estimate of Within-subject 4.45
Within-subject calculated CI
3.52
to
5.78
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0297
Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni” |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females | C8,10,13 |
Albumin |
Estimate of Within-subject 2.8
Within-subject calculated CI
2.20
to
3.52
Estimate of Between-subject 5.8 Between-subject calculated CI 4.62 to 7.58 |
ID: 0037
Eckfeldt J,Chambless Ll and Shen Y, 1994, Arch Pathol Lab Med, 118, 496-500 , Short-term, within-person variability in clinical chemistry test results |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males Number of females | C6,8,10,13 |
Albumin |
Estimate of Within-subject 6.7
Within-subject calculated CI
6.20
to
7.24
Estimate of Between-subject 5.5 Between-subject calculated CI 4.11 to 8.07 |
ID: 0045
Fraser CG and Hearne CR, 1982, Ann Clin Biochem, 19, 431-4 , Components of variance of some plasma constituents in patiens with myocardial infarction |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males Number of females | C10 |
Albumin |
Estimate of Within-subject 2.6
Within-subject calculated CI
2.36
to
2.88
Estimate of Between-subject 3.4 Between-subject calculated CI 2.63 to 4.70 |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | C4,10 |
Albumin |
Estimate of Within-subject 4.4
Within-subject calculated CI
3.88
to
5.07
Estimate of Between-subject 9.7 Between-subject calculated CI 6.61 to 17.80 |
ID: 0046
Fraser CG, Williams P, 1983, Clin Chem, 29, 508-10 , Short-term biological variation of plasma analytes in renal disease |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males Number of females | C10,13 |
Albumin |
Estimate of Within-subject 11.0
Within-subject calculated CI
8.37
to
15.95
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0053
Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 0 Number of females 5 | C8 |
Albumin |
Estimate of Within-subject 2.68
Within-subject calculated CI
2.16
to
3.45
Estimate of Between-subject 3.44 Between-subject calculated CI 2.33 to 5.58 |
ID: 0062
González-Revaldería J., García-Bermejo S., Menchén-Herreros A., and Fernández-Rodriguez E, 1991, Clin Chem, 37, 596 , Towards narrower analytical goals in routine laboratory work |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 5 Number of females 10 | C10 |
Albumin |
Estimate of Within-subject 2.2
Within-subject calculated CI
1.89
to
2.57
Estimate of Between-subject 4.1 Between-subject calculated CI 2.98 to 6.41 |
ID: 0064
Gowans EMS, Fraser G., 1987, Clin Chem, 33, 717 , Longer-term biological vari ation of commonly analyzed serum constituent |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 7 Number of females 8 | C8,10,13 |
Albumin |
Estimate of Within-subject 3.9
Within-subject calculated CI
3.60
to
4.22
Estimate of Between-subject 6.3 Between-subject calculated CI 5.34 to 7.63 |
ID: 0069
Harris EK, Kanofsky P, Shakarji G and Cotlove E, 1970, Clin Chem, 16, 1022-7 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 68 Number of males Number of females | C8,10,13 |
Albumin |
Estimate of Within-subject 2.7
Within-subject calculated CI
2.32
to
3.19
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0071
Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 0 Number of females 14 | C8,13 |
Albumin |
Estimate of Within-subject 2.9
Within-subject calculated CI
1.45
to
3.68
Estimate of Between-subject Between-subject calculated CI to |
ID: 0073
Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 8 Number of males 8 Number of females 0 | C8,13 |
Albumin |
Estimate of Within-subject 3.6
Within-subject calculated CI
2.64
to
4.45
Estimate of Between-subject Between-subject calculated CI to |
ID: 0073
Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males 0 Number of females 9 | C8,13 |
Albumin |
Estimate of Within-subject 2.1
Within-subject calculated CI
1.73
to
2.59
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0071
Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females 0 | C8,13 |
Albumin |
Estimate of Within-subject 2.0
Within-subject calculated CI
1.64
to
2.47
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females | C8,13 |
Albumin |
Estimate of Within-subject 2.7
Within-subject calculated CI
2.32
to
3.19
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 0 Number of females 14 | C8,13 |
Albumin |
Estimate of Within-subject 4.1
Within-subject calculated CI
0.00
to
5.85
Estimate of Between-subject 5.1 Between-subject calculated CI 3.66 to 7.67 |
ID: 0092
Juan-Pereira L., and Fuentes-Arderiu X., 1989, Clin Chem, 35, 1544 , Intra-Individual Variation of the Electrophoretic Serum Protein Fractions |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 6 Number of females 14 | C6,8,10,11,12,13 |
Albumin |
Estimate of Within-subject 3.5
Within-subject calculated CI
3.31
to
3.70
Estimate of Between-subject 7.5 Between-subject calculated CI 7.11 to 7.93 |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects Number of males Number of females | C10 |
Albumin |
Estimate of Within-subject 2.8
Within-subject calculated CI
1.82
to
3.63
Estimate of Between-subject 8.9 Between-subject calculated CI 6.93 to 10.51 |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects Number of males Number of females | C8,10,12,13 |
Albumin |
Estimate of Within-subject 3.0
Within-subject calculated CI
to
Estimate of Between-subject 6.2 Between-subject calculated CI to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 2025 Number of males 2025 Number of females | C4,5,6,7,10,12,13 |
Albumin |
Estimate of Within-subject 3.0
Within-subject calculated CI
to
Estimate of Between-subject 7.2 Between-subject calculated CI to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 3030 Number of males Number of females 3030 | C4,5,6,7,10,12,13 |
Albumin |
Estimate of Within-subject 2.3
Within-subject calculated CI
1.73
to
2.96
Estimate of Between-subject 2.9 Between-subject calculated CI 2.01 to 4.50 |
ID: 0273
Montagnana M, Paleari R, Danese E, Salvagno GL, Lippi G, Guidi GC and Mosca A, 2013, Clin Chim Acta, 423, 1-4 , Evaluation of biological variation of glycated albumin (GA) and fructosamine in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 18 Number of males 9 Number of females 9 | C8,10,13 |
Albumin |
Estimate of Within-subject 3.2
Within-subject calculated CI
0.00
to
22.47
Estimate of Between-subject 6.0 Between-subject calculated CI 0.00 to 40.84 |
ID: 0110
Morris HA, Wishart JM, Horowitz M, Need AG and Nordin BEC, 1990, Ann Clin Biochem, 27, 562-8 , The reproducibility of bone-related biochemical variables in post-menopausal women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 60 Number of males Number of females 60 | C10 |
Albumin |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0299
Pascoe P and Gallagher CS, 1984, Cin Chem, 30, 583-4 , Components of biological variation of some serum analytes in hospitalized pregnant women |
State Of Wellbeing Pregnant Number of Subjects 15 Number of males Number of females 15 | D4 |
Albumin |
Estimate of Within-subject 3.4
Within-subject calculated CI
2.80
to
4.30
Estimate of Between-subject Between-subject calculated CI to |
ID: 0084
Petersen PH, Feldt-Rasmussen U, Horder M, Blaabjerg O, Thygesen K, 1981, Scand J Clin Lab Invest, 41, 143-50 , Variability of plasma proteins accoding to molecular size. Long-term and short-term intra-individual variation |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8,10,11,12,13 |
Albumin |
Estimate of Within-subject 3.8
Within-subject calculated CI
3.25
to
4.56
Estimate of Between-subject Between-subject calculated CI to |
ID: 0084
Petersen PH, Feldt-Rasmussen U, Horder M, Blaabjerg O, Thygesen K, 1981, Scand J Clin Lab Invest, 41, 143-50 , Variability of plasma proteins accoding to molecular size. Long-term and short-term intra-individual variation |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 6 Number of males 6 Number of females | C8,10,11,12,13 |
Albumin |
Estimate of Within-subject 1.5
Within-subject calculated CI
1.11
to
2.14
Estimate of Between-subject Between-subject calculated CI to |
ID: 0084
Petersen PH, Feldt-Rasmussen U, Horder M, Blaabjerg O, Thygesen K, 1981, Scand J Clin Lab Invest, 41, 143-50 , Variability of plasma proteins accoding to molecular size. Long-term and short-term intra-individual variation |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 5 Number of females | C8,10,11,12,13 |
Albumin |
Estimate of Within-subject 3.2
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0130
Pickup JF, Harris EK, Kearns M and Brown SS, 1977, Clin Chem, 23, 842-50 , Intra-individual variation of some serum constituents and its relevance to population-based reference ranges |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 37 Number of males 37 Number of females | C10 |
Albumin |
Estimate of Within-subject 3.0
Within-subject calculated CI
2.70
to
3.36
Estimate of Between-subject 5.1 Between-subject calculated CI 4.27 to 6.26 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 62 | C8 |
Albumin |
Estimate of Within-subject 4.3
Within-subject calculated CI
3.91
to
4.77
Estimate of Between-subject 5.3 Between-subject calculated CI 4.41 to 6.50 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 71 Number of females | C8 |
Albumin |
Estimate of Within-subject 3.4
Within-subject calculated CI
3.08
to
3.78
Estimate of Between-subject 5.9 Between-subject calculated CI 4.99 to 7.15 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 56 Number of females | C8 |
Albumin |
Estimate of Within-subject 4.5
Within-subject calculated CI
4.08
to
5.01
Estimate of Between-subject 5.6 Between-subject calculated CI 4.61 to 6.95 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 64 | C8 |
Albumin |
Estimate of Within-subject 2.76
Within-subject calculated CI
2.34
to
3.33
Estimate of Between-subject 5.02 Between-subject calculated CI 3.72 to 7.46 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 19 Number of males Number of females 19 | C8,10,13 |
Albumin |
Estimate of Within-subject 2.4
Within-subject calculated CI
2.04
to
2.87
Estimate of Between-subject 2.74 Between-subject calculated CI 1.97 to 4.08 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 21 Number of males 21 Number of females | C8,10,13 |
Albumin |
Estimate of Within-subject 2.5
Within-subject calculated CI
2.22
to
2.84
Estimate of Between-subject 5.08 Between-subject calculated CI 4.11 to 6.57 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males 21 Number of females 19 | C8,10,13 |
Albumin |
Estimate of Within-subject 3.8
Within-subject calculated CI
2.52
to
5.76
Estimate of Between-subject 9.5 Between-subject calculated CI 6.47 to 16.48 |
ID: 0266
Statland BE, Winkel P and Bokelund H, 1973, Clin Chem, 19, 1374-9 , Factors contributing to intra-individual variation of serum constituents: 1. within-day variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | C8,13 |
Albumin |
Estimate of Within-subject 2.8
Within-subject calculated CI
to
Estimate of Between-subject 0.5 Between-subject calculated CI to |
ID: 0166
Winkel P, Statland BE and Bokelund H, 1974, Clin Chem, 20, 1520-7 , Factors Contributing to Intra-Individual Variation of serum constituents: 5. Short-Term day-to-day and within-hour variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | C8,10,12,13 |
Albumin |
Estimate of Within-subject 2.96
Within-subject calculated CI
2.46
to
3.60
Estimate of Between-subject 2.18 Between-subject calculated CI 1.28 to 4.28 |
ID: 0168
Young DS, Harris EK and Cotlove E, 1971, Clin Chem, 17, 403-10 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. IV. Results of a study designed to eliminate long-term analytic deviations. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 9 Number of females | C8,10,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Aldolase activity |
Estimate of Within-subject 27.2
Within-subject calculated CI
0.00
to
34.80
Estimate of Between-subject Between-subject calculated CI to |
ID: 0284
Wu AHB, Smith A and Wians F, 2009, Clin Chim Acta, 399, 109-11 , Interpretation of creatine kinase and aldolase for statin-induced myopathy: Reliance on serial testing based on biological variation |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 17 Number of males 9 Number of females 8 | C8,10,11,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Aldosterone |
Estimate of Within-subject 36.0
Within-subject calculated CI
12.00
to
47.21
Estimate of Between-subject 28.0 Between-subject calculated CI 14.21 to 59.30 |
ID: 0311
Ahokoski O, Virtanen A, Kairisto V, Scheinin H, Huupponen R, Irjala K, 1999, Clin Chem, 45(7), 1097-9 , Biological day-to-day variation and reference change limits of serum cortisol and aldosterone in healthy young men on unrestricted diets. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 8 Number of females | C7,8,10 |
Aldosterone |
Estimate of Within-subject 26.0
Within-subject calculated CI
6.78
to
36.35
Estimate of Between-subject 37.0 Between-subject calculated CI 25.75 to 52.37 |
ID: 0311
Ahokoski O, Virtanen A, Kairisto V, Scheinin H, Huupponen R, Irjala K, 1999, Clin Chem, 45(7), 1097-9 , Biological day-to-day variation and reference change limits of serum cortisol and aldosterone in healthy young men on unrestricted diets. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 31 Number of males 31 Number of females | C7,8,10,13 |
Aldosterone |
Estimate of Within-subject 36.6
Within-subject calculated CI
32.23
to
42.25
Estimate of Between-subject 34.7 Between-subject calculated CI 25.45 to 49.29 |
ID: 0428
Meijers WC, Van del Velde AR, Kobold ACM, et al, 2017, Eur J Hearth Failure , 19, 357-65 , Variability of biomarkers in patients with chronic heart failure and healthy controls |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 28 Number of males 14 Number of females 14 | C8,10 |
Aldosterone |
Estimate of Within-subject 27.7
Within-subject calculated CI
24.84
to
31.19
Estimate of Between-subject 91.1 Between-subject calculated CI 78.67 to 107.91 |
ID: 0428
Meijers WC, Van del Velde AR, Kobold ACM, et al, 2017, Eur J Hearth Failure , 19, 357-65 , Variability of biomarkers in patients with chronic heart failure and healthy controls |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 83 Number of males 79 Number of females 4 | C8,10 |
Aldosterone |
Estimate of Within-subject 19.0
Within-subject calculated CI
16.45
to
22.10
Estimate of Between-subject Between-subject calculated CI 14.40 to |
ID: 0453
Nishiyama K, Tsutamoto T, Kawahara C et al, 2011, Circ J, 75, 1897-904 , Relationship Between Biological Variation in B-Type Natriuretic Peptide and Plasma Renin Concentration in Stable Outpatients With Dilated Cardiomyopathy |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 115 Number of males 107 Number of females 8 | C7,8,10,13 |
Aldosterone |
Estimate of Within-subject 29.4
Within-subject calculated CI
25.61
to
34.49
Estimate of Between-subject 40.1 Between-subject calculated CI 28.60 to 63.44 |
ID: 0137
Ricós C and Arbós MA, 1990, Ann Clin Biochem, 27, 353-8 , Quality goals for hormone testing |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 6 Number of females 9 | C4,8,10 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Alkaline phosphatase (ALP) bone isoenzyme |
Estimate of Within-subject 3.4
Within-subject calculated CI
0.00
to
6.91
Estimate of Between-subject 37.4 Between-subject calculated CI 26.70 to 61.91 |
ID: 0171
Alvarez L, Ricós C, Peris P, Guañabens N, Monegal A,Pons F and Ballesta AM, 2000, Bone, 26, 571-6 , Components of biological variation of biochemical markers of bone tumor in Paget’s bone disease |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12 | C8,10,12 |
Alkaline phosphatase (ALP) bone isoenzyme |
Estimate of Within-subject 4.9
Within-subject calculated CI
1.70
to
7.44
Estimate of Between-subject 77.5 Between-subject calculated CI 57.20 to 120.02 |
ID: 0171
Alvarez L, Ricós C, Peris P, Guañabens N, Monegal A,Pons F and Ballesta AM, 2000, Bone, 26, 571-6 , Components of biological variation of biochemical markers of bone tumor in Paget’s bone disease |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 15 Number of males Number of females 15 | C8,10,12 |
Alkaline phosphatase (ALP) bone isoenzyme |
Estimate of Within-subject 4.9
Within-subject calculated CI
3.67
to
7.17
Estimate of Between-subject 41.4 Between-subject calculated CI 25.78 to 101.66 |
ID: 0172
Blomshon A, Hannon RA, Al-Dehaimi AW and Eastell R, 1995, XXIV European Symposium on Calcified Tissues, , , Short-term intraindividual variability of markers of bone turnover in healthy adults |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5 | C5,7,8,10,12,13 |
Alkaline phosphatase (ALP) bone isoenzyme |
Estimate of Within-subject 3.5
Within-subject calculated CI
1.71
to
5.68
Estimate of Between-subject 35.9 Between-subject calculated CI 22.36 to 88.15 |
ID: 0172
Blomshon A, Hannon RA, Al-Dehaimi AW and Eastell R, 1995, XXIV European Symposium on Calcified Tissues, , , Short-term intraindividual variability of markers of bone turnover in healthy adults |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5 | C5,7,8,10,12,13 |
Alkaline phosphatase (ALP) bone isoenzyme |
Estimate of Within-subject 9.0
Within-subject calculated CI
8.03
to
9.99
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0067
Hannon R, Blumsohn A, Naylor K, Eastell R., 1998, J Bone Mineral Res, 13, 1124-33 , Response of biochemical markers of bone turnover to hormone replacement therapy: impact of biological variability |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11 | C10 |
Alkaline phosphatase (ALP) bone isoenzyme |
Estimate of Within-subject 5.7
Within-subject calculated CI
3.99
to
9.08
Estimate of Between-subject 42.8 Between-subject calculated CI 26.62 to 105.18 |
ID: 0124
Panteghini M and Pagani F, 1995, Scand J Clin Lab Invest, 55, 609-16 , Biological variation in bone-derived biochemical markers in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8,10,13 |
Alkaline phosphatase (ALP) bone isoenzyme |
Estimate of Within-subject 7.7
Within-subject calculated CI
5.54
to
12.11
Estimate of Between-subject 21.1 Between-subject calculated CI 12.78 to 52.49 |
ID: 0124
Panteghini M and Pagani F, 1995, Scand J Clin Lab Invest, 55, 609-16 , Biological variation in bone-derived biochemical markers in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 5 Number of females | C8,10,13 |
Alkaline phosphatase (ALP) bone isoenzyme |
Estimate of Within-subject 6.6
Within-subject calculated CI
5.15
to
8.97
Estimate of Between-subject 35.6 Between-subject calculated CI 0.00 to 62.67 |
ID: 0124
Panteghini M and Pagani F, 1995, Scand J Clin Lab Invest, 55, 609-16 , Biological variation in bone-derived biochemical markers in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5 | C8,10,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 12.4
Within-subject calculated CI
10.06
to
16.13
Estimate of Between-subject 66.2 Between-subject calculated CI 47.27 to 109.58 |
ID: 0171
Alvarez L, Ricós C, Peris P, Guañabens N, Monegal A,Pons F and Ballesta AM, 2000, Bone, 26, 571-6 , Components of biological variation of biochemical markers of bone tumor in Paget’s bone disease |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12 | C8,10,12 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 4.5
Within-subject calculated CI
3.37
to
6.12
Estimate of Between-subject 28.1 Between-subject calculated CI 20.07 to 46.50 |
ID: 0171
Alvarez L, Ricós C, Peris P, Guañabens N, Monegal A,Pons F and Ballesta AM, 2000, Bone, 26, 571-6 , Components of biological variation of biochemical markers of bone tumor in Paget’s bone disease |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12 | C8,10,12 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.6
Within-subject calculated CI
4.57
to
6.69
Estimate of Between-subject 27.2 Between-subject calculated CI 21.59 to 36.66 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 16 Number of females 13 | C10,13 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.0
Within-subject calculated CI
4.38
to
5.79
Estimate of Between-subject 26.5 Between-subject calculated CI 21.13 to 35.48 |
ID: 0005
Beck Jensen et al. , 1997, Scand J Clin Lab Invest, 57, 351-60 , A single measurement of biochemical markers of bone turnover has limited utility in the individual person. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females 30 | C4,8,10,13 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.9
Within-subject calculated CI
4.41
to
7.34
Estimate of Between-subject 29.7 Between-subject calculated CI 22.63 to 43.01 |
ID: 0004
Beck Jensen JE, Sorensen HA, Kollerup G, Jensen LB, Sor ensen OH, 1994, Scand J Clin Lab Invest, 54(Sup219), 36-9 , Biological variation of biochemical bone markers |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 20 Number of males Number of females 20 | C4,5,8,10,13 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 4.5
Within-subject calculated CI
0.00
to
6.21
Estimate of Between-subject 19.9 Between-subject calculated CI 13.98 to 33.96 |
ID: 0004
Beck Jensen JE, Sorensen HA, Kollerup G, Jensen LB, Sor ensen OH, 1994, Scand J Clin Lab Invest, 54(Sup219), 36-9 , Biological variation of biochemical bone markers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11 | C4,5,8,10,13 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.3
Within-subject calculated CI
5.01
to
5.62
Estimate of Between-subject 24.9 Between-subject calculated CI 21.65 to 29.29 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 86 Number of males 33 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.0
Within-subject calculated CI
4.56
to
5.50
Estimate of Between-subject 25.4 Between-subject calculated CI 20.46 to 33.46 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 33 Number of males 33 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.4
Within-subject calculated CI
5.03
to
5.81
Estimate of Between-subject 24.2 Between-subject calculated CI 20.32 to 29.90 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0298
Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females | D4 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0027
Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126 | D4 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0297
Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni” |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females | D4 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | D4 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.83
Within-subject calculated CI
5.16
to
6.69
Estimate of Between-subject Between-subject calculated CI to |
ID: 0377
Gardham C, Stevens PE, Delaney MP, LeRoux M, Coleman A and Lamb E, 2010, CliniJ Am Soc Nephrol, 5, 1261-7 , Variability of Parathyroid hormone ond other markers of bone mineral metabolism in patients receiving hemodialysis |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 4 Number of females 8 | C10 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0064
Gowans EMS, Fraser G., 1987, Clin Chem, 33, 717 , Longer-term biological vari ation of commonly analyzed serum constituent |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 7 Number of females 8 | D4 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0071
Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 0 Number of females 14 | D4 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0073
Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 17 Number of males 8 Number of females 9 | D4 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 8.1
Within-subject calculated CI
7.55
to
8.72
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 422 Number of males Number of females 422 | C5,7,10 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 8.1
Within-subject calculated CI
7.54
to
8.74
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 406 Number of males 406 Number of females | C5,7,10 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects Number of males Number of females | D4 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 8.1
Within-subject calculated CI
7.70
to
8.54
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 828 Number of males Number of females | C5,7,10 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1950 Number of males 1950 Number of females | D4 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0271
Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 640 Number of males 256 Number of females 384 | D4 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 6.4
Within-subject calculated CI
4.65
to
10.02
Estimate of Between-subject 23.0 Between-subject calculated CI 14.12 to 56.88 |
ID: 0178
Pagani F and Panteghini M, 2001, Clin Chem, 47, 355-6 , Biological variation in serum activities of three hepatic enzymes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 5 Number of females | C8,10,13, |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 6.0
Within-subject calculated CI
4.73
to
8.10
Estimate of Between-subject 21.0 Between-subject calculated CI 14.50 to 37.11 |
ID: 0178
Pagani F and Panteghini M, 2001, Clin Chem, 47, 355-6 , Biological variation in serum activities of three hepatic enzymes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5 | C8,10,13, |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.8
Within-subject calculated CI
4.19
to
9.10
Estimate of Between-subject 18.0 Between-subject calculated CI 10.98 to 44.64 |
ID: 0178
Pagani F and Panteghini M, 2001, Clin Chem, 47, 355-6 , Biological variation in serum activities of three hepatic enzymes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8,10,13, |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.8
Within-subject calculated CI
4.19
to
9.10
Estimate of Between-subject 18.4 Between-subject calculated CI 11.24 to 45.61 |
ID: 0124
Panteghini M and Pagani F, 1995, Scand J Clin Lab Invest, 55, 609-16 , Biological variation in bone-derived biochemical markers in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8,10 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 6.4
Within-subject calculated CI
4.65
to
10.02
Estimate of Between-subject 23.3 Between-subject calculated CI 14.31 to 57.61 |
ID: 0124
Panteghini M and Pagani F, 1995, Scand J Clin Lab Invest, 55, 609-16 , Biological variation in bone-derived biochemical markers in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 5 Number of females | C8,10 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 6.0
Within-subject calculated CI
4.73
to
8.10
Estimate of Between-subject 20.8 Between-subject calculated CI 14.36 to 36.77 |
ID: 0124
Panteghini M and Pagani F, 1995, Scand J Clin Lab Invest, 55, 609-16 , Biological variation in bone-derived biochemical markers in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5 | C8,10 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0299
Pascoe P and Gallagher CS, 1984, Cin Chem, 30, 583-4 , Components of biological variation of some serum analytes in hospitalized pregnant women |
State Of Wellbeing Pregnant Number of Subjects 15 Number of males Number of females 15 | D4 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0130
Pickup JF, Harris EK, Kearns M and Brown SS, 1977, Clin Chem, 23, 842-50 , Intra-individual variation of some serum constituents and its relevance to population-based reference ranges |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 37 Number of males 37 Number of females | D4 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 7.9
Within-subject calculated CI
6.25
to
9.15
Estimate of Between-subject 36.1 Between-subject calculated CI 30.69 to 43.76 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 64 | C8,13 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 5.9
Within-subject calculated CI
3.44
to
7.17
Estimate of Between-subject 21.4 Between-subject calculated CI 17.95 to 26.39 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 56 Number of males 56 Number of females | C8,13 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 7.3
Within-subject calculated CI
5.69
to
8.46
Estimate of Between-subject 34.9 Between-subject calculated CI 29.90 to 41.85 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 71 Number of females | C8,13 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject 6.1
Within-subject calculated CI
3.94
to
7.31
Estimate of Between-subject 22.9 Between-subject calculated CI 19.38 to 27.90 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males Number of females 62 | C8,13 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0266
Statland BE, Winkel P and Bokelund H, 1973, Clin Chem, 19, 1374-9 , Factors contributing to intra-individual variation of serum constituents: 1. within-day variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | D4 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0165
Williams GZ, Widdowson GM and Penton J, 1978, Clin Chem, 24, 313-20 , Individual Character of Variation in Time-Series Studies of Healthy People II. Differences in Values for Clinical Chemical Analytes in Serum among Demographic Groups by Age and Sex |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1105 Number of males 628 Number of females 477 | D4 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0276
Winkel P and Statland BE, 1976, Clin Chem, 22, 1855-61 , Correlation of selected serum constituents:2. Consistency of intra-individual correlation values, means and variances during four months |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males Number of females 10 | D4 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0166
Winkel P, Statland BE and Bokelund H, 1974, Clin Chem, 20, 1520-7 , Factors Contributing to Intra-Individual Variation of serum constituents: 5. Short-Term day-to-day and within-hour variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | D4 |
Alkaline phosphatase (ALP), liver type |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0168
Young DS, Harris EK and Cotlove E, 1971, Clin Chem, 17, 403-10 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. IV. Results of a study designed to eliminate long-term analytic deviations. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 9 Number of females | D4 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Alphafetoprotein |
Estimate of Within-subject 4.0
Within-subject calculated CI
3.26
to
4.92
Estimate of Between-subject 50.1 Between-subject calculated CI 34.44 to 91.49 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males Number of females 9 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Alphafetoprotein |
Estimate of Within-subject 4.1
Within-subject calculated CI
3.84
to
4.38
Estimate of Between-subject 57.7 Between-subject calculated CI 50.01 to 68.19 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Alphafetoprotein |
Estimate of Within-subject 3.4
Within-subject calculated CI
3.03
to
3.81
Estimate of Between-subject 41.9 Between-subject calculated CI 33.88 to 54.91 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 34 Number of males 34 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Alphafetoprotein |
Estimate of Within-subject 5.3
Within-subject calculated CI
4.86
to
5.80
Estimate of Between-subject 60.6 Between-subject calculated CI 49.39 to 78.42 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 37 Number of males Number of females 37 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Alphafetoprotein |
Estimate of Within-subject 4.6
Within-subject calculated CI
4.23
to
5.01
Estimate of Between-subject 57.5 Between-subject calculated CI 47.77 to 72.23 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 46 Number of males Number of females 46 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Alphafetoprotein |
Estimate of Within-subject 26.67
Within-subject calculated CI
23.81
to
30.30
Estimate of Between-subject 43.65 Between-subject calculated CI 35.39 to 55.92 |
ID: 0358
Erden G, Barazi AO, Tezcan G and Yildirimkaya MM, 2008, Scand J Clin Lab Invest, 68, 212-8 , Biological variation and reference change vàlues of CA 19-9, CEA, AFP in sèrum of healthy individuals |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 49 Number of males 25 Number of females 24 | C8,10 |
Alphafetoprotein |
Estimate of Within-subject 12.4
Within-subject calculated CI
0.00
to
450.74
Estimate of Between-subject 45.1 Between-subject calculated CI 0.00 to 62.46 |
ID: 0219
Trapé J, Franquesa J, Sala M, Domenech M, Montesinos J, Catot S, Buxó J, Casado E, Fígols C, Harillo S, Galobart J and Bella M, 2010, Clin Chem Lab Med, 48, 1799-1801 , Determination of biological variation of -fetoprotein and choriogonadotropin ( chain) in disease-free patients with testicular cancer |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 28 Number of males 28 Number of females | C3,5,7,8,10,11,12,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Amylase |
Estimate of Within-subject 5.1
Within-subject calculated CI
0.00
to
7.01
Estimate of Between-subject 24.9 Between-subject calculated CI 18.11 to 39.44 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16 | C10,12 |
Amylase |
Estimate of Within-subject 6.3
Within-subject calculated CI
5.82
to
6.87
Estimate of Between-subject 30.0 Between-subject calculated CI 24.36 to 39.01 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 36 Number of males 36 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Amylase |
Estimate of Within-subject 7.1
Within-subject calculated CI
6.65
to
7.62
Estimate of Between-subject 31.4 Between-subject calculated CI 26.36 to 38.80 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Amylase |
Estimate of Within-subject 6.8
Within-subject calculated CI
6.46
to
7.18
Estimate of Between-subject 30.4 Between-subject calculated CI 26.49 to 35.66 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 89 Number of males 36 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Amylase |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0298
Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females | D4 |
Amylase |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0027
Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126 | D4 |
Amylase |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0297
Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni” |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females | D4 |
Amylase |
Estimate of Within-subject 10.8
Within-subject calculated CI
9.91
to
11.86
Estimate of Between-subject 32.1 Between-subject calculated CI 25.29 to 43.81 |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | C10 |
Amylase |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0073
Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 17 Number of males 8 Number of females 9 | D4 |
Amylase |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females | D4 |
Amylase |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0071
Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 0 Number of females 14 | D4 |
Amylase |
Estimate of Within-subject 4.29
Within-subject calculated CI
3.81
to
4.88
Estimate of Between-subject 25.6 Between-subject calculated CI 20.99 to 32.80 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males 21 Number of females 19 | C8 |
Amylase |
Estimate of Within-subject 5.04
Within-subject calculated CI
4.28
to
6.07
Estimate of Between-subject 21.07 Between-subject calculated CI 15.95 to 30.88 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males Number of females 19 | C8,10 |
Amylase |
Estimate of Within-subject 4.15
Within-subject calculated CI
3.53
to
4.97
Estimate of Between-subject 26.8 Between-subject calculated CI 20.58 to 38.35 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males 21 Number of females | C8,10 |
Amylase |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0266
Statland BE, Winkel P and Bokelund H, 1973, Clin Chem, 19, 1374-9 , Factors contributing to intra-individual variation of serum constituents: 1. within-day variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | D4 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Androstenedione |
Estimate of Within-subject 11.5
Within-subject calculated CI
9.01
to
14.79
Estimate of Between-subject 51.1 Between-subject calculated CI 34.96 to 93.58 |
ID: 0137
Ricós C and Arbós MA, 1990, Ann Clin Biochem, 27, 353-8 , Quality goals for hormone testing |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males Number of females 9 | C4,8,10 |
Androstenedione |
Estimate of Within-subject 20.1
Within-subject calculated CI
15.95
to
26.56
Estimate of Between-subject 26.5 Between-subject calculated CI 15.87 to 60.37 |
ID: 0137
Ricós C and Arbós MA, 1990, Ann Clin Biochem, 27, 353-8 , Quality goals for hormone testing |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 6 Number of males 6 Number of females | C4,8,10 |
Androstenedione |
Estimate of Within-subject 18.1
Within-subject calculated CI
15.35
to
22.05
Estimate of Between-subject 32.1 Between-subject calculated CI 23.04 to 50.59 |
ID: 0474
Van der Veen A, van Faassen M, De Jong WHA et al, 2019, Clin Biochem, , , Development and validation of a LC-MS/MS method for the establishment of reference intervals and biological variation for five plasma steroid hormones |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 15 Number of females | B14 |
Androstenedione |
Estimate of Within-subject 19.5
Within-subject calculated CI
16.52
to
23.78
Estimate of Between-subject 49.4 Between-subject calculated CI 35.99 to 77.15 |
ID: 0474
Van der Veen A, van Faassen M, De Jong WHA et al, 2019, Clin Biochem, , , Development and validation of a LC-MS/MS method for the establishment of reference intervals and biological variation for five plasma steroid hormones |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males Number of females 15 | B14 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Angiotensin II |
Estimate of Within-subject 36.3
Within-subject calculated CI
32.08
to
41.77
Estimate of Between-subject Between-subject calculated CI to |
ID: 0453
Nishiyama K, Tsutamoto T, Kawahara C et al, 2011, Circ J, 75, 1897-904 , Relationship Between Biological Variation in B-Type Natriuretic Peptide and Plasma Renin Concentration in Stable Outpatients With Dilated Cardiomyopathy |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 115 Number of males 107 Number of females 8 | C7,8,10,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Antimullerian hormone |
Estimate of Within-subject 19.2
Within-subject calculated CI
17.32
to
21.48
Estimate of Between-subject Between-subject calculated CI 15.97 to |
ID: 0387
Hadlow NH, Brown SJ, Habbib A et al, 2016, Reproductive Endocrinology, 106(5), 1230-7 , Quantifying the intraindividual variation of antiüllerian hormone in the ovarian cycle |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 41 Number of males Number of females 41 | C8,10,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Apolipoprotein A1 |
Estimate of Within-subject 10.4
Within-subject calculated CI
3.73
to
13.26
Estimate of Between-subject 15.9 Between-subject calculated CI 12.40 to 20.88 |
ID: 0013
Brown SA, Boerwinkle E, Kashanian FK, Swanson N and Patsch W, 1990, Clin Chem, 36, 207-10 , Variation in concentrations of lipids, lipoprotein lipids, and apolipoproteins A-I and B in plasma from healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 44 Number of males Number of females 44 | C8,10,13 |
Apolipoprotein A1 |
Estimate of Within-subject 2.8
Within-subject calculated CI
0.00
to
10.77
Estimate of Between-subject Between-subject calculated CI to |
ID: 0021
Chambless LE, McMahon RP, Brown SA, Patsch W, Heiss G and Shen Y, 1992, Am J Epidem, 0136, 1069-1081 , Short-term intraindividual variability in lipoprotein measurements: the atherosclerosis risk communities (ARIC) study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 18 Number of males 7 Number of females 11 | C8,10,13 |
Apolipoprotein A1 |
Estimate of Within-subject 4.6
Within-subject calculated CI
0.00
to
8.74
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0021
Chambless LE, McMahon RP, Brown SA, Patsch W, Heiss G and Shen Y, 1992, Am J Epidem, 0136, 1069-1081 , Short-term intraindividual variability in lipoprotein measurements: the atherosclerosis risk communities (ARIC) study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 18 Number of males 7 Number of females 11 | C8,10,13 |
Apolipoprotein A1 |
Estimate of Within-subject 6.5
Within-subject calculated CI
0.00
to
10.43
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0021
Chambless LE, McMahon RP, Brown SA, Patsch W, Heiss G and Shen Y, 1992, Am J Epidem, 0136, 1069-1081 , Short-term intraindividual variability in lipoprotein measurements: the atherosclerosis risk communities (ARIC) study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males 10 Number of females 12 | C8,10,13 |
Apolipoprotein A1 |
Estimate of Within-subject 4.4
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0298
Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females | C4,8,10,12,13 |
Apolipoprotein A1 |
Estimate of Within-subject 4.7
Within-subject calculated CI
4.13
to
5.44
Estimate of Between-subject 8.8 Between-subject calculated CI 6.22 to 14.66 |
ID: 0044
Ford RP, 1989, Ann Clin Biochem, 26, 281-5 , Essential data derived from biological variation for establishment and use of lipid analyses |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 6 Number of females 6 | C8,10,13 |
Apolipoprotein A1 |
Estimate of Within-subject 6.6
Within-subject calculated CI
6.03
to
7.28
Estimate of Between-subject 13.8 Between-subject calculated CI 10.83 to 18.89 |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | C10 |
Apolipoprotein A1 |
Estimate of Within-subject 7.4
Within-subject calculated CI
0.00
to
9.77
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 38 Number of males Number of females 38 | C8,10,11,13 |
Apolipoprotein A1 |
Estimate of Within-subject 5.9
Within-subject calculated CI
0.00
to
8.13
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 43 Number of males 43 Number of females | C8,10,11,13 |
Apolipoprotein A1 |
Estimate of Within-subject 5.7
Within-subject calculated CI
0.00
to
8.13
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 36 Number of males 36 Number of females | C8,10,11,13 |
Apolipoprotein A1 |
Estimate of Within-subject 7.1
Within-subject calculated CI
5.16
to
8.35
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 143 Number of males 79 Number of females 64 | C8,10,11,13 |
Apolipoprotein A1 |
Estimate of Within-subject 8.8
Within-subject calculated CI
0.00
to
11.84
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 26 Number of males Number of females 26 | C8,10,11,13 |
Apolipoprotein A1 |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 17.8 Between-subject calculated CI 0.00 to 0.00 |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10128 Number of males Number of females | C5,7,10,13 |
Apolipoprotein A1 |
Estimate of Within-subject 7.0
Within-subject calculated CI
6.46
to
7.50
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1060 Number of males Number of females | C5,7,10,13 |
Apolipoprotein A1 |
Estimate of Within-subject 6.2
Within-subject calculated CI
4.73
to
7.70
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0104
Marcovina SM, Gaur VP and Albers JJ, 1994, Clin Chem, 40, 574-8 , Biological variability of Cholesterol, Triglyceride, Low- and High-density lipoprotein Cholesterol, Lipoprotein(a), and Apolipoproteins A-I and B |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10 | C8,10,13 |
Apolipoprotein A1 |
Estimate of Within-subject 10.2
Within-subject calculated CI
7.29
to
13.09
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0107
Mjøs O, Rao S,Bjøru, Henden T, Thelle D,Førde O and Miller N, 1979, Atherosclerosis, 34, 75-81 , A longitudinal study of the biological variability of plasma lipoproteins in healthy young adults |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11 | C8,10,11,13 |
Apolipoprotein A1 |
Estimate of Within-subject 8.33
Within-subject calculated CI
6.37
to
10.21
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0107
Mjøs O, Rao S,Bjøru, Henden T, Thelle D,Førde O and Miller N, 1979, Atherosclerosis, 34, 75-81 , A longitudinal study of the biological variability of plasma lipoproteins in healthy young adults |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 17 Number of males 17 Number of females | C8,10,11,13 |
Apolipoprotein A1 |
Estimate of Within-subject 6.4
Within-subject calculated CI
0.00
to
8.50
Estimate of Between-subject 15.3 Between-subject calculated CI 11.74 to 21.66 |
ID: 0120
Ortolá J, Castiñeiras MJ, Fuentes-Arderiu X., 1992, Clin Chem, 38, 56-9 , Biological variation data applied to the selection of serum lipid ratios used as risk markers of coronary heart disease. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 23 Number of males 23 Number of females 0 | C8,12,13 |
Apolipoprotein A1 |
Estimate of Within-subject 3.6
Within-subject calculated CI
2.85
to
4.72
Estimate of Between-subject 8.0 Between-subject calculated CI 5.45 to 14.25 |
ID: 0121
Pagani F and Panteghini M, 1993, Clin Biochem, 26, 415-20 , Significance of various parameters derived from biological variability for lipid and lipoprotein analyses |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 4 Number of females 6 | B9,11 |
Apolipoprotein A1 |
Estimate of Within-subject 4.1
Within-subject calculated CI
0.00
to
5.82
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0141
Rivera-Coll A, Fuentes-Arderiu X and Díez-Noguera A, 1994, Clin Chem, 40, 1549-53 , Circadian rhythmic variations in serum concentrations of clinically important lipids |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 25 Number of males 13 Number of females 12 | C8,10,13 |
Apolipoprotein A1 |
Estimate of Within-subject 9.4
Within-subject calculated CI
0.00
to
13.25
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0164
Wasenius A, Stugaard M, Otterstad JE, Froyshov D, 1990, Scand J Clin Lab Invest, 50, 632-42 , Diurnal and monthly intra-individual variability of the concentration of lipids, lipoproteins and apoproteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 7 Number of females 4 | C8,10,12,13 |
Apolipoprotein A1 |
Estimate of Within-subject 6.5
Within-subject calculated CI
0.00
to
9.36
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0164
Wasenius A, Stugaard M, Otterstad JE, Froyshov D, 1990, Scand J Clin Lab Invest, 50, 632-42 , Diurnal and monthly intra-individual variability of the concentration of lipids, lipoproteins and apoproteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 7 Number of females 4 | C8,10,12,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Apolipoprotein B |
Estimate of Within-subject 8.2
Within-subject calculated CI
6.93
to
9.74
Estimate of Between-subject 10.7 Between-subject calculated CI 8.36 to 14.04 |
ID: 0013
Brown SA, Boerwinkle E, Kashanian FK, Swanson N and Patsch W, 1990, Clin Chem, 36, 207-10 , Variation in concentrations of lipids, lipoprotein lipids, and apolipoproteins A-I and B in plasma from healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 44 Number of males Number of females 44 | C8,10,13 |
Apolipoprotein B |
Estimate of Within-subject 4.9
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0298
Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females | C4,8,10,12,13 |
Apolipoprotein B |
Estimate of Within-subject 7.3
Within-subject calculated CI
6.40
to
8.47
Estimate of Between-subject 25.1 Between-subject calculated CI 17.92 to 41.55 |
ID: 0044
Ford RP, 1989, Ann Clin Biochem, 26, 281-5 , Essential data derived from biological variation for establishment and use of lipid analyses |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 6 Number of females 6 | C8,10,13 |
Apolipoprotein B |
Estimate of Within-subject 8.3
Within-subject calculated CI
7.60
to
9.13
Estimate of Between-subject 25.7 Between-subject calculated CI 20.25 to 35.07 |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | C10 |
Apolipoprotein B |
Estimate of Within-subject 6.4
Within-subject calculated CI
5.75
to
7.08
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 143 Number of males 79 Number of females 64 | C8,10,11,13 |
Apolipoprotein B |
Estimate of Within-subject 9.6
Within-subject calculated CI
7.55
to
12.05
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 26 Number of males Number of females 26 | C8,10,11,13 |
Apolipoprotein B |
Estimate of Within-subject 7.4
Within-subject calculated CI
0.00
to
10.22
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 36 Number of males 36 Number of females | C8,10,11,13 |
Apolipoprotein B |
Estimate of Within-subject 5.7
Within-subject calculated CI
4.08
to
6.95
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 43 Number of males 43 Number of females | C8,10,11,13 |
Apolipoprotein B |
Estimate of Within-subject 5.3
Within-subject calculated CI
3.53
to
6.57
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 38 Number of males Number of females 38 | C8,10,11,13 |
Apolipoprotein B |
Estimate of Within-subject 9.5
Within-subject calculated CI
9.08
to
9.95
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1073 Number of males Number of females | C5,7,10,13 |
Apolipoprotein B |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 27.6 Between-subject calculated CI 0.00 to 0.00 |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10168 Number of males Number of females | C5,7,10,13 |
Apolipoprotein B |
Estimate of Within-subject 7.4
Within-subject calculated CI
6.08
to
9.10
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0104
Marcovina SM, Gaur VP and Albers JJ, 1994, Clin Chem, 40, 574-8 , Biological variability of Cholesterol, Triglyceride, Low- and High-density lipoprotein Cholesterol, Lipoprotein(a), and Apolipoproteins A-I and B |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10 | C8,10,13 |
Apolipoprotein B |
Estimate of Within-subject 13.5
Within-subject calculated CI
12.01
to
15.03
Estimate of Between-subject 27.2 Between-subject calculated CI 20.97 to 38.38 |
ID: 0120
Ortolá J, Castiñeiras MJ, Fuentes-Arderiu X., 1992, Clin Chem, 38, 56-9 , Biological variation data applied to the selection of serum lipid ratios used as risk markers of coronary heart disease. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 23 Number of males 23 Number of females 0 | C8,12,13 |
Apolipoprotein B |
Estimate of Within-subject 4.2
Within-subject calculated CI
3.42
to
5.41
Estimate of Between-subject 20.5 Between-subject calculated CI 14.26 to 36.08 |
ID: 0121
Pagani F and Panteghini M, 1993, Clin Biochem, 26, 415-20 , Significance of various parameters derived from biological variability for lipid and lipoprotein analyses |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 4 Number of females 6 | B9,11 |
Apolipoprotein B |
Estimate of Within-subject 4.9
Within-subject calculated CI
0.00
to
6.43
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0141
Rivera-Coll A, Fuentes-Arderiu X and Díez-Noguera A, 1994, Clin Chem, 40, 1549-53 , Circadian rhythmic variations in serum concentrations of clinically important lipids |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 25 Number of males 13 Number of females 12 | C8,10,13 |
Apolipoprotein B |
Estimate of Within-subject 9.7
Within-subject calculated CI
0.00
to
14.44
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0164
Wasenius A, Stugaard M, Otterstad JE, Froyshov D, 1990, Scand J Clin Lab Invest, 50, 632-42 , Diurnal and monthly intra-individual variability of the concentration of lipids, lipoproteins and apoproteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 7 Number of females 4 | C8,10,12,13 |
Apolipoprotein B |
Estimate of Within-subject 6.5
Within-subject calculated CI
0.00
to
10.44
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0164
Wasenius A, Stugaard M, Otterstad JE, Froyshov D, 1990, Scand J Clin Lab Invest, 50, 632-42 , Diurnal and monthly intra-individual variability of the concentration of lipids, lipoproteins and apoproteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 7 Number of females 4 | C8,10,12,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Aspartate transaminase (AST) |
Estimate of Within-subject 4.7
Within-subject calculated CI
3.70
to
5.65
Estimate of Between-subject 21.8 Between-subject calculated CI 17.29 to 29.39 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 16 Number of females 13 | C10,13 |
Aspartate transaminase (AST) |
Estimate of Within-subject 9.5
Within-subject calculated CI
8.96
to
10.09
Estimate of Between-subject 20.3 Between-subject calculated CI 17.64 to 23.86 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Aspartate transaminase (AST) |
Estimate of Within-subject 10.3
Within-subject calculated CI
9.42
to
11.31
Estimate of Between-subject 14.7 Between-subject calculated CI 11.82 to 19.17 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Aspartate transaminase (AST) |
Estimate of Within-subject 8.9
Within-subject calculated CI
8.23
to
9.65
Estimate of Between-subject 22.4 Between-subject calculated CI 18.72 to 27.81 |
ID: 0324
Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 52 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Aspartate transaminase (AST) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0298
Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females | D4 |
Aspartate transaminase (AST) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0027
Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126 | D4 |
Aspartate transaminase (AST) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0288
Cotlove E, Harris EK and Williams GZ, 1970, Clin Chem, 16, 1028-32 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 68 Number of males 33 Number of females 35 | D4 |
Aspartate transaminase (AST) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0297
Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni” |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females | D4 |
Aspartate transaminase (AST) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0069
Harris EK, Kanofsky P, Shakarji G and Cotlove E, 1970, Clin Chem, 16, 1022-7 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 68 Number of males Number of females | D4 |
Aspartate transaminase (AST) |
Estimate of Within-subject 12.3
Within-subject calculated CI
10.74
to
14.30
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 16 Number of males 16 Number of females | C4,8,13 |
Aspartate transaminase (AST) |
Estimate of Within-subject 14.5
Within-subject calculated CI
12.39
to
17.36
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11 | C4,8,13 |
Aspartate transaminase (AST) |
Estimate of Within-subject 9.74
Within-subject calculated CI
8.36
to
11.52
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males Number of females 14 | C4,8,13 |
Aspartate transaminase (AST) |
Estimate of Within-subject 10.5
Within-subject calculated CI
8.81
to
12.80
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females | C4,8,13 |
Aspartate transaminase (AST) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0071
Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 0 Number of females 14 | D4 |
Aspartate transaminase (AST) |
Estimate of Within-subject 5.28
Within-subject calculated CI
4.04
to
7.01
Estimate of Between-subject 13.58 Between-subject calculated CI 8.60 to 30.18 |
ID: 0277
Horder M and Bowers GN, 1977, Clin Chem, 23, 551-4 , Biological variability in aspartate aminotransferase activity in serum of healthy persons, and effect of in vitro supplementation with pyridoxal 5-phosphate |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 6 Number of males Number of females 6 | C4,8,10 |
Aspartate transaminase (AST) |
Estimate of Within-subject 5.14
Within-subject calculated CI
3.67
to
7.63
Estimate of Between-subject 13.23 Between-subject calculated CI 7.31 to 49.83 |
ID: 0277
Horder M and Bowers GN, 1977, Clin Chem, 23, 551-4 , Biological variability in aspartate aminotransferase activity in serum of healthy persons, and effect of in vitro supplementation with pyridoxal 5-phosphate |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 3 Number of males 3 Number of females | C4,8,10 |
Aspartate transaminase (AST) |
Estimate of Within-subject 14.8
Within-subject calculated CI
13.82
to
15.92
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 419 Number of males Number of females 419 | C5,7,10 |
Aspartate transaminase (AST) |
Estimate of Within-subject 16.0
Within-subject calculated CI
14.89
to
17.27
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 376 Number of males 376 Number of females | C5,7,10 |
Aspartate transaminase (AST) |
Estimate of Within-subject 15.5
Within-subject calculated CI
14.74
to
16.33
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 795 Number of males Number of females | C5,7,10 |
Aspartate transaminase (AST) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1806 Number of males 1806 Number of females | D4 |
Aspartate transaminase (AST) |
Estimate of Within-subject 13.8
Within-subject calculated CI
12.40
to
15.46
Estimate of Between-subject 24.9 Between-subject calculated CI 20.84 to 30.60 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males Number of females 62 | C8,13 |
Aspartate transaminase (AST) |
Estimate of Within-subject 18.4
Within-subject calculated CI
16.74
to
20.40
Estimate of Between-subject 23.4 Between-subject calculated CI 19.49 to 28.67 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 71 Number of females | C8,13 |
Aspartate transaminase (AST) |
Estimate of Within-subject 13.2
Within-subject calculated CI
11.77
to
14.89
Estimate of Between-subject 22.8 Between-subject calculated CI 18.88 to 28.38 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 56 Number of males 56 Number of females | C8,13 |
Aspartate transaminase (AST) |
Estimate of Within-subject 18.3
Within-subject calculated CI
16.56
to
20.41
Estimate of Between-subject 26.2 Between-subject calculated CI 21.78 to 32.30 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 64 | C8,13 |
Aspartate transaminase (AST) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0266
Statland BE, Winkel P and Bokelund H, 1973, Clin Chem, 19, 1374-9 , Factors contributing to intra-individual variation of serum constituents: 1. within-day variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | D4 |
Aspartate transaminase (AST) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 787 Number of males Number of females | D4 |
Aspartate transaminase (AST) |
Estimate of Within-subject 21.4
Within-subject calculated CI
0.00
to
37.57
Estimate of Between-subject 30.7 Between-subject calculated CI 19.26 to 39.70 |
ID: 0165
Williams GZ, Widdowson GM and Penton J, 1978, Clin Chem, 24, 313-20 , Individual Character of Variation in Time-Series Studies of Healthy People II. Differences in Values for Clinical Chemical Analytes in Serum among Demographic Groups by Age and Sex |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1105 Number of males 628 Number of females 477 | D4 |
Aspartate transaminase (AST) |
Estimate of Within-subject 8.8
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0276
Winkel P and Statland BE, 1976, Clin Chem, 22, 1855-61 , Correlation of selected serum constituents:2. Consistency of intra-individual correlation values, means and variances during four months |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males Number of females 10 | D4 |
Aspartate transaminase (AST) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0166
Winkel P, Statland BE and Bokelund H, 1974, Clin Chem, 20, 1520-7 , Factors Contributing to Intra-Individual Variation of serum constituents: 5. Short-Term day-to-day and within-hour variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | D4 |
Aspartate transaminase (AST) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0168
Young DS, Harris EK and Cotlove E, 1971, Clin Chem, 17, 403-10 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. IV. Results of a study designed to eliminate long-term analytic deviations. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 9 Number of females | D4 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
b-2 microglobulin |
Estimate of Within-subject 3.8
Within-subject calculated CI
3.47
to
4.18
Estimate of Between-subject 9.4 Between-subject calculated CI 7.62 to 12.21 |
ID: 0483
Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
b-2 microglobulin |
Estimate of Within-subject 4.2
Within-subject calculated CI
3.89
to
4.55
Estimate of Between-subject 12.1 Between-subject calculated CI 10.12 to 15.01 |
ID: 0483
Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males 53 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
b-2 microglobulin |
Estimate of Within-subject 4.0
Within-subject calculated CI
3.77
to
4.25
Estimate of Between-subject 11.2 Between-subject calculated CI 9.75 to 13.14 |
ID: 0483
Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
b-2 microglobulin |
Estimate of Within-subject 5.9
Within-subject calculated CI
5.23
to
6.70
Estimate of Between-subject 15.5 Between-subject calculated CI 11.71 to 22.74 |
ID: 0024
Clark GH, Fraser CG. , 1993, Ann Clin Biochem, 30, 373-76 , Biological variation of acute phase proteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 19 Number of males 9 Number of females 10 | C8,10,12,13 |
b-2 microglobulin |
Estimate of Within-subject 2.9
Within-subject calculated CI
2.19
to
3.74
Estimate of Between-subject Between-subject calculated CI to |
ID: 0264
Franzini C, Scapellato G and Vanoni G, 1993, Biochim Clin, 17, 315-9 , Variabilità bologica ed analitica della anti-streptolisina O e di proteine della fase acuta del siero |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 4 Number of females 8 | C7,10 |
b-2 microglobulin |
Estimate of Within-subject 8.4
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0309
Selvin E, Juraschek SP, Eckfeldt J, Levey AS, Inker LA and Coresh J, 2013, Am J Kidney Dis, 61, 716-22 , Within-person variability in kidney measures |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 400 Number of males Number of females | C5,6,7,10 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Base excess |
Estimate of Within-subject 76.4
Within-subject calculated CI
65.85
to
89.30
Estimate of Between-subject 43.2 Between-subject calculated CI 25.46 to 75.40 |
ID: 0068
Harding PJ, Fraser CG, 1987, Clin Chem , 33, 1416-8 , Biological variation of blood acid-base status: consequences for analytical goal-setting and interpretation of results |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 9 Number of females 5 | C7,8,10 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Basophils |
Estimate of Within-subject 8.8
Within-subject calculated CI
2.69
to
12.80
Estimate of Between-subject 26.7 Between-subject calculated CI 20.11 to 38.71 |
ID: 0332
Buoro S, Carobene A, Seghezzi M, Manenti B, Pacioni A, Ceriotti F, Ottomano C and Lippi G, 2017, Clin Chim Acta, 473, 147-56 , Short and medium-term biological variation estimates of leukocytes extended to differential count and morphology-structural paràmetres (cell population data) in blood samples obtained from healthy people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males 12 Number of females 10 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Basophils |
Estimate of Within-subject 12.8
Within-subject calculated CI
10.02
to
16.05
Estimate of Between-subject 33.9 Between-subject calculated CI 25.69 to 48.95 |
ID: 0332
Buoro S, Carobene A, Seghezzi M, Manenti B, Pacioni A, Ceriotti F, Ottomano C and Lippi G, 2017, Clin Chim Acta, 473, 147-56 , Short and medium-term biological variation estimates of leukocytes extended to differential count and morphology-structural paràmetres (cell population data) in blood samples obtained from healthy people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 21 Number of males 9 Number of females 12 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Basophils |
Estimate of Within-subject 11.36
Within-subject calculated CI
8.37
to
13.99
Estimate of Between-subject 22.1 Between-subject calculated CI 17.25 to 30.14 |
ID: 0346
Coskun A, Carobene A, Kilercik M, Serteser M, Sandberg S, Aarsand AK, Fernandez-Calle P, Jonker N, Bartlett W, Díaz-Garzón J, Huet S, Kiziltas C, Dalgakiran I, Ugur E and Unsal I, 2018, Clin Chem Lab Med, , , Within-subject and between-subject biological variation estimates of 21 hematological parameters in 30 healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males 13 Number of females 17 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Basophils |
Estimate of Within-subject 19.4
Within-subject calculated CI
16.27
to
22.19
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0028
Costongs GMP, Janson PCW, Bas BM, Hermans J, Brombach er PJ, Wersch JWJ, 1985, J Clin Chem Clin Biochem, 23, 69-76 , Short-term and long-term intra-individual variations and critical differences of haematological laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males Number of females | C2,7,8,10,13 |
Basophils |
Estimate of Within-subject 32.0
Within-subject calculated CI
30.63
to
33.42
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0028
Costongs GMP, Janson PCW, Bas BM, Hermans J, Brombach er PJ, Wersch JWJ, 1985, J Clin Chem Clin Biochem, 23, 69-76 , Short-term and long-term intra-individual variations and critical differences of haematological laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males Number of females | C2,7,8,10,13 |
Basophils |
Estimate of Within-subject 8.8
Within-subject calculated CI
5.55
to
11.27
Estimate of Between-subject 32.2 Between-subject calculated CI 24.39 to 47.17 |
ID: 0304
Hilderink JM, Kilinkenberg LJJ, Aakre KM, de Wit NCJ, Henskens YMC, van der Linden N et al, 2017, Clin Chem Lab Med, 55, 1013-24 , Within-day biological variation and hour-to-hour reference change values for hematological parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 24 Number of males 19 Number of females 5 | C7 |
Basophils |
Estimate of Within-subject 9.8
Within-subject calculated CI
0.00
to
14.14
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0154
Statland BE, Winkel P, Harris SC, Burdsall MJ, Saunders AM, 1977, Am J Clin Pathol, 69, 48-54 , Evaluation of biological sources of variation of leukocyte counts and other hematologic quantities using very precise automated analyzers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10 | C7,8,10,13 |
Basophils |
Estimate of Within-subject 7.4
Within-subject calculated CI
0.00
to
11.02
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0154
Statland BE, Winkel P, Harris SC, Burdsall MJ, Saunders AM, 1977, Am J Clin Pathol, 69, 48-54 , Evaluation of biological sources of variation of leukocyte counts and other hematologic quantities using very precise automated analyzers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10 | C7,8,10,13 |
Basophils |
Estimate of Within-subject 15.0
Within-subject calculated CI
0.00
to
19.35
Estimate of Between-subject 54.8 Between-subject calculated CI 41.58 to 79.59 |
ID: 0154
Statland BE, Winkel P, Harris SC, Burdsall MJ, Saunders AM, 1977, Am J Clin Pathol, 69, 48-54 , Evaluation of biological sources of variation of leukocyte counts and other hematologic quantities using very precise automated analyzers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10 | C7,8,10,13 |
Basophils |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 137.93 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 452 Number of males Number of females | C7,8,10,12,13 |
Basophils |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 143.06 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 508 Number of males Number of females 508 | C7,8,10,12,13 |
Basophils |
Estimate of Within-subject 168.3
Within-subject calculated CI
136.13
to
220.51
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 34 Number of males 0 Number of females 34 | C7,8,10,13 |
Basophils |
Estimate of Within-subject 90.4
Within-subject calculated CI
69.18
to
130.56
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 20 Number of females 0 | C7,8,10,13 |
Basophils |
Estimate of Within-subject 119.2
Within-subject calculated CI
93.09
to
165.84
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 24 Number of males Number of females | C7,8,10,13 |
Basophils |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 146.0 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 840 Number of males Number of females | C7,8,10,12,13 |
Basophils |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 156.76 Between-subject calculated CI 0.00 to 0.00 |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 388 Number of males Number of females | C7,8,10,12,13 |
Basophils |
Estimate of Within-subject 133.2
Within-subject calculated CI
106.44
to
178.05
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0291
Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females | C7,8,10,13 |
Basophils |
Estimate of Within-subject 14.9
Within-subject calculated CI
12.65
to
17.44
Estimate of Between-subject 24.9 Between-subject calculated CI 19.96 to 32.36 |
ID: 0321
Yang D, Zhou Y and Yang C, 2017, Int J lab Hemat, 39, e37-e40 , Daytime biological variation of hematological parameters in a healthy Chinese population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 41 Number of males 21 Number of females 20 | C10,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Bilirubin |
Estimate of Within-subject 21.7
Within-subject calculated CI
20.10
to
23.57
Estimate of Between-subject 25.3 Between-subject calculated CI 20.20 to 33.25 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 37 Number of males 37 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Bilirubin |
Estimate of Within-subject 21.6
Within-subject calculated CI
20.27
to
23.12
Estimate of Between-subject 24.4 Between-subject calculated CI 20.15 to 30.55 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Bilirubin |
Estimate of Within-subject 20.9
Within-subject calculated CI
19.89
to
22.02
Estimate of Between-subject 26.6 Between-subject calculated CI 22.97 to 31.42 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 90 Number of males 37 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Bilirubin |
Estimate of Within-subject 28.1
Within-subject calculated CI
23.17
to
35.77
Estimate of Between-subject 38.2 Between-subject calculated CI 26.06 to 62.63 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16 | C10,12 |
Bilirubin |
Estimate of Within-subject 20.4
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0298
Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females | C4,8,10,12,13 |
Bilirubin |
Estimate of Within-subject 18.7
Within-subject calculated CI
18.02
to
19.43
Estimate of Between-subject Between-subject calculated CI to |
ID: 0027
Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126 | C4,8,10,13 |
Bilirubin |
Estimate of Within-subject 13.4
Within-subject calculated CI
12.15
to
14.94
Estimate of Between-subject Between-subject calculated CI to |
ID: 0027
Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males 23 Number of females 39 | C4,8,10,13 |
Bilirubin |
Estimate of Within-subject 27.2
Within-subject calculated CI
22.54
to
34.28
Estimate of Between-subject Between-subject calculated CI to |
ID: 0297
Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni” |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females | C4,8,10,13 |
Bilirubin |
Estimate of Within-subject 16.5
Within-subject calculated CI
15.06
to
18.21
Estimate of Between-subject 27.8 Between-subject calculated CI 21.73 to 38.16 |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | C10 |
Bilirubin |
Estimate of Within-subject 19.2
Within-subject calculated CI
17.09
to
21.87
Estimate of Between-subject 22.9 Between-subject calculated CI 16.38 to 36.18 |
ID: 0064
Gowans EMS, Fraser G., 1987, Clin Chem, 33, 717 , Longer-term biological vari ation of commonly analyzed serum constituent |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 7 Number of females 8 | C8,10,13 |
Bilirubin |
Estimate of Within-subject 18.5
Within-subject calculated CI
17.17
to
19.99
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 417 Number of males Number of females 417 | C5,7,10 |
Bilirubin |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 43.9 Between-subject calculated CI 0.00 to 0.00 |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15902 Number of males Number of females | C5,7,8,10,12,13 |
Bilirubin |
Estimate of Within-subject 20.0
Within-subject calculated CI
18.53
to
21.66
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 381 Number of males 381 Number of females | C5,7,10 |
Bilirubin |
Estimate of Within-subject 19.6
Within-subject calculated CI
18.58
to
20.71
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 798 Number of males Number of females | C5,7,10 |
Bilirubin |
Estimate of Within-subject 24.6
Within-subject calculated CI
19.53
to
28.80
Estimate of Between-subject Between-subject calculated CI to |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 2038 Number of males Number of females | C5,7,8,10,12,13 |
Bilirubin |
Estimate of Within-subject 23.4
Within-subject calculated CI
to
Estimate of Between-subject 51.2 Between-subject calculated CI to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 2890 Number of males Number of females 2890 | C4,5,6,7,10,12,13 |
Bilirubin |
Estimate of Within-subject 22.9
Within-subject calculated CI
to
Estimate of Between-subject 43.2 Between-subject calculated CI to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1898 Number of males 1898 Number of females | C4,5,6,7,10,12,13 |
Bilirubin |
Estimate of Within-subject 27.5
Within-subject calculated CI
26.06
to
29.11
Estimate of Between-subject Between-subject calculated CI to |
ID: 0271
Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 640 Number of males 256 Number of females 384 | C4,5,6,7,10,13 |
Bilirubin |
Estimate of Within-subject 26.0
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0130
Pickup JF, Harris EK, Kearns M and Brown SS, 1977, Clin Chem, 23, 842-50 , Intra-individual variation of some serum constituents and its relevance to population-based reference ranges |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 37 Number of males 37 Number of females | C10 |
Bilirubin |
Estimate of Within-subject 19.2
Within-subject calculated CI
17.01
to
21.72
Estimate of Between-subject 28.8 Between-subject calculated CI 23.68 to 36.04 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 56 Number of males 56 Number of females | C8,13 |
Bilirubin |
Estimate of Within-subject 22.0
Within-subject calculated CI
19.88
to
24.48
Estimate of Between-subject 27.9 Between-subject calculated CI 23.21 to 34.21 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 71 Number of females | C8,13 |
Bilirubin |
Estimate of Within-subject 18.5
Within-subject calculated CI
16.46
to
20.81
Estimate of Between-subject 27.3 Between-subject calculated CI 22.63 to 33.78 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males Number of females 62 | C8,13 |
Bilirubin |
Estimate of Within-subject 21.6
Within-subject calculated CI
19.40
to
24.18
Estimate of Between-subject 25.1 Between-subject calculated CI 20.54 to 31.29 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 64 | C8,13 |
Bilirubin |
Estimate of Within-subject 9.47
Within-subject calculated CI
8.21
to
11.18
Estimate of Between-subject 14.46 Between-subject calculated CI 10.77 to 21.12 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 21 Number of males 21 Number of females | C8,10,13 |
Bilirubin |
Estimate of Within-subject 10.0
Within-subject calculated CI
8.62
to
11.90
Estimate of Between-subject 14.43 Between-subject calculated CI 10.56 to 21.61 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 19 Number of males Number of females 19 | C8,10,13 |
Bilirubin |
Estimate of Within-subject 9.93
Within-subject calculated CI
8.94
to
11.16
Estimate of Between-subject 14.26 Between-subject calculated CI 11.41 to 18.59 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males 21 Number of females 19 | C8,10,13 |
Bilirubin |
Estimate of Within-subject 22.0
Within-subject calculated CI
to
Estimate of Between-subject 37.0 Between-subject calculated CI to |
ID: 0200
Van Hoydonck GA, Schouten EG and Temme EHM, 2003, Clin Chem, 49, 963-5 , Reproducibility of blood markers of oxidative status and endothelial function in healthy individuals |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 25 Number of males 12 Number of females 13 | C7,8,10,12,13 |
Bilirubin |
Estimate of Within-subject 17.7
Within-subject calculated CI
to
Estimate of Between-subject 22.0 Between-subject calculated CI to |
ID: 0166
Winkel P, Statland BE and Bokelund H, 1974, Clin Chem, 20, 1520-7 , Factors Contributing to Intra-Individual Variation of serum constituents: 5. Short-Term day-to-day and within-hour variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | C8,10,12,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Bilirubin - conjugated |
Estimate of Within-subject 11.0
Within-subject calculated CI
9.51
to
13.01
Estimate of Between-subject 31.23 Between-subject calculated CI 23.81 to 44.92 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 21 Number of males 21 Number of females | C8,10,13 |
Bilirubin - conjugated |
Estimate of Within-subject 13.12
Within-subject calculated CI
11.80
to
14.77
Estimate of Between-subject 33.48 Between-subject calculated CI 27.27 to 43.10 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males 21 Number of females 19 | C8,10,13 |
Bilirubin - conjugated |
Estimate of Within-subject 16.53
Within-subject calculated CI
14.23
to
19.69
Estimate of Between-subject 23.72 Between-subject calculated CI 17.34 to 35.53 |
ID: 0275
Qi Z, Chen Y, Zhang L, Ma X, Wang F, Cheng Q, Du J, Hao Y, Chi S, Cui W, 2016, Clin Chim Acta, 452, 87-91 , Biological variations of thirteen plasma biochemical indicators |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 19 Number of males Number of females 19 | C8,10,13 |
Bilirubin - conjugated |
Estimate of Within-subject 10.9
Within-subject calculated CI
7.86
to
16.04
Estimate of Between-subject 54.0 Between-subject calculated CI 37.95 to 92.15 |
ID: 0266
Statland BE, Winkel P and Bokelund H, 1973, Clin Chem, 19, 1374-9 , Factors contributing to intra-individual variation of serum constituents: 1. within-day variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | C8,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Bilirubin - unconjugated |
Estimate of Within-subject 51.1
Within-subject calculated CI
42.15
to
64.99
Estimate of Between-subject 57.0 Between-subject calculated CI 37.27 to 95.11 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16 | C10,12 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Calcitonin |
Estimate of Within-subject 12.7
Within-subject calculated CI
11.72
to
13.84
Estimate of Between-subject 65.8 Between-subject calculated CI 53.45 to 85.54 |
ID: 0547
Bottani M, Aarsand AK, Banfi G, Locatelli M, Coşkun A, Díaz-Garzón J, Fernandez-Calle P, Sandberg S, Ceriotti F, Carobene A., 2021, Clin Chem Lab Med, Online ahead of print, Online ahead of print , European Biological Variation Study (EuBIVAS): within- and between-subject biological variation estimates for serum thyroid biomarkers based on weekly samplings from 91 healthy participants |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Calcitonin |
Estimate of Within-subject 13.4
Within-subject calculated CI
12.32
to
14.67
Estimate of Between-subject 79.0 Between-subject calculated CI 63.48 to 104.56 |
ID: 0547
Bottani M, Aarsand AK, Banfi G, Locatelli M, Coşkun A, Díaz-Garzón J, Fernandez-Calle P, Sandberg S, Ceriotti F, Carobene A., 2021, Clin Chem Lab Med, Online ahead of print, Online ahead of print , European Biological Variation Study (EuBIVAS): within- and between-subject biological variation estimates for serum thyroid biomarkers based on weekly samplings from 91 healthy participants |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males 53 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Calcitonin |
Estimate of Within-subject 13.0
Within-subject calculated CI
12.26
to
13.83
Estimate of Between-subject 65.8 Between-subject calculated CI 56.32 to 79.12 |
ID: 0547
Bottani M, Aarsand AK, Banfi G, Locatelli M, Coşkun A, Díaz-Garzón J, Fernandez-Calle P, Sandberg S, Ceriotti F, Carobene A., 2021, Clin Chem Lab Med, Online ahead of print, Online ahead of print , European Biological Variation Study (EuBIVAS): within- and between-subject biological variation estimates for serum thyroid biomarkers based on weekly samplings from 91 healthy participants |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Calcium (Ca) |
Estimate of Within-subject 1.96
Within-subject calculated CI
1.83
to
2.11
Estimate of Between-subject 2.64 Between-subject calculated CI 2.19 to 3.29 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Calcium (Ca) |
Estimate of Within-subject 1.74
Within-subject calculated CI
1.60
to
1.90
Estimate of Between-subject 2.57 Between-subject calculated CI 2.07 to 3.35 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Calcium (Ca) |
Estimate of Within-subject 1.81
Within-subject calculated CI
1.71
to
1.92
Estimate of Between-subject 2.73 Between-subject calculated CI 2.36 to 3.22 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Calcium (Ca) |
Estimate of Within-subject 16.0
Within-subject calculated CI
13.93
to
18.81
Estimate of Between-subject 2.5 Between-subject calculated CI 0.00 to 8.05 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16 | C10 |
Calcium (Ca) |
Estimate of Within-subject 40.1
Within-subject calculated CI
35.58
to
45.93
Estimate of Between-subject 62.8 Between-subject calculated CI 48.96 to 85.43 |
ID: 0005
Beck Jensen et al. , 1997, Scand J Clin Lab Invest, 57, 351-60 , A single measurement of biochemical markers of bone turnover has limited utility in the individual person. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females 30 | C8,10,13 |
Calcium (Ca) |
Estimate of Within-subject 35.7
Within-subject calculated CI
31.67
to
40.89
Estimate of Between-subject 64.7 Between-subject calculated CI 50.77 to 87.63 |
ID: 0005
Beck Jensen et al. , 1997, Scand J Clin Lab Invest, 57, 351-60 , A single measurement of biochemical markers of bone turnover has limited utility in the individual person. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females 30 | C8,10,13 |
Calcium (Ca) |
Estimate of Within-subject 40.8
Within-subject calculated CI
36.22
to
46.72
Estimate of Between-subject 59.7 Between-subject calculated CI 46.37 to 81.42 |
ID: 0005
Beck Jensen et al. , 1997, Scand J Clin Lab Invest, 57, 351-60 , A single measurement of biochemical markers of bone turnover has limited utility in the individual person. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females 30 | C8,10,13 |
Calcium (Ca) |
Estimate of Within-subject 54.1
Within-subject calculated CI
48.02
to
61.95
Estimate of Between-subject 58.5 Between-subject calculated CI 44.26 to 81.08 |
ID: 0005
Beck Jensen et al. , 1997, Scand J Clin Lab Invest, 57, 351-60 , A single measurement of biochemical markers of bone turnover has limited utility in the individual person. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females 30 | C8,10,13 |
Calcium (Ca) |
Estimate of Within-subject 2.0
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 4 Number of females 5 | C10,12 |
Calcium (Ca) |
Estimate of Within-subject 1.2
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 4 Number of females 4 | C10,12 |
Calcium (Ca) |
Estimate of Within-subject 2.1
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 4 Number of females 4 | C10,12 |
Calcium (Ca) |
Estimate of Within-subject 2.1
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 4 Number of females 4 | C10,12 |
Calcium (Ca) |
Estimate of Within-subject 2.0
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 4 Number of females 4 | C10,12 |
Calcium (Ca) |
Estimate of Within-subject 1.2
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males 6 Number of females 7 | C10,12 |
Calcium (Ca) |
Estimate of Within-subject 2.14
Within-subject calculated CI
1.89
to
2.43
Estimate of Between-subject Between-subject calculated CI to |
ID: 0411
Cavalier E, Delanaye P and Moranne O, 2013, Am J Kidney Dis, 61(5), 845-8 , Variability of new bone mineral metabolism markers in patients treated with maintenance hemodialysis: implications for clinical decision making |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 17 Number of males 9 Number of females 8 | C5,7,8,10,12,13 |
Calcium (Ca) |
Estimate of Within-subject 1.7
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0298
Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females | C4,8,10,12,13 |
Calcium (Ca) |
Estimate of Within-subject 1.8
Within-subject calculated CI
1.55
to
2.05
Estimate of Between-subject Between-subject calculated CI to |
ID: 0027
Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males 23 Number of females 39 | C4,8,10,13 |
Calcium (Ca) |
Estimate of Within-subject 2.3
Within-subject calculated CI
2.20
to
2.40
Estimate of Between-subject Between-subject calculated CI to |
ID: 0027
Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126 | C4,8,10,13 |
Calcium (Ca) |
Estimate of Within-subject 3.8
Within-subject calculated CI
3.22
to
4.49
Estimate of Between-subject 4.7 Between-subject calculated CI 3.77 to 5.90 |
ID: 0288
Cotlove E, Harris EK and Williams GZ, 1970, Clin Chem, 16, 1028-32 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 68 Number of males 33 Number of females 35 | C8,10,13 |
Calcium (Ca) |
Estimate of Within-subject 1.93
Within-subject calculated CI
1.54
to
2.49
Estimate of Between-subject Between-subject calculated CI to |
ID: 0297
Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni” |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females | C4,8,10,13 |
Calcium (Ca) |
Estimate of Within-subject 1.1
Within-subject calculated CI
0.00
to
1.78
Estimate of Between-subject 3.6 Between-subject calculated CI 2.86 to 4.71 |
ID: 0037
Eckfeldt J,Chambless Ll and Shen Y, 1994, Arch Pathol Lab Med, 118, 496-500 , Short-term, within-person variability in clinical chemistry test results |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males Number of females | C6,8,10,13 |
Calcium (Ca) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0045
Fraser CG and Hearne CR, 1982, Ann Clin Biochem, 19, 431-4 , Components of variance of some plasma constituents in patiens with myocardial infarction |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 20 Number of males Number of females | C10 |
Calcium (Ca) |
Estimate of Within-subject 1.6
Within-subject calculated CI
1.44
to
1.78
Estimate of Between-subject 2.8 Between-subject calculated CI 2.19 to 3.84 |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | C10 |
Calcium (Ca) |
Estimate of Within-subject 2.11
Within-subject calculated CI
1.82
to
2.47
Estimate of Between-subject 5.7 Between-subject calculated CI 3.89 to 10.45 |
ID: 0046
Fraser CG, Williams P, 1983, Clin Chem, 29, 508-10 , Short-term biological variation of plasma analytes in renal disease |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males Number of females | C10,13 |
Calcium (Ca) |
Estimate of Within-subject 3.25
Within-subject calculated CI
2.45
to
4.74
Estimate of Between-subject Between-subject calculated CI to |
ID: 0052
Gallagher SK, Johnson LK, and Milne DB, 1989, Clin Chem, 35, 369-73 , Short-term and long-term variability of indices related to nutritional status. I: Ca, Cu, Fe, Mg, and Zn |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 0 Number of females 5 | C5,7,8,10,13 |
Calcium (Ca) |
Estimate of Within-subject 1.51
Within-subject calculated CI
0.00
to
3.15
Estimate of Between-subject 2.71 Between-subject calculated CI 1.34 to 7.14 |
ID: 0052
Gallagher SK, Johnson LK, and Milne DB, 1989, Clin Chem, 35, 369-73 , Short-term and long-term variability of indices related to nutritional status. I: Ca, Cu, Fe, Mg, and Zn |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 0 Number of females 5 | C5,7,8,10,13 |
Calcium (Ca) |
Estimate of Within-subject 4.77
Within-subject calculated CI
3.40
to
7.14
Estimate of Between-subject Between-subject calculated CI to |
ID: 0052
Gallagher SK, Johnson LK, and Milne DB, 1989, Clin Chem, 35, 369-73 , Short-term and long-term variability of indices related to nutritional status. I: Ca, Cu, Fe, Mg, and Zn |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 0 Number of females 5 | C5,7,8,10,13 |
Calcium (Ca) |
Estimate of Within-subject 1.99
Within-subject calculated CI
0.00
to
3.61
Estimate of Between-subject 1.91 Between-subject calculated CI 0.00 to 5.49 |
ID: 0052
Gallagher SK, Johnson LK, and Milne DB, 1989, Clin Chem, 35, 369-73 , Short-term and long-term variability of indices related to nutritional status. I: Ca, Cu, Fe, Mg, and Zn |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 0 Number of females 5 | C5,7,8,10,13 |
Calcium (Ca) |
Estimate of Within-subject 2.9
Within-subject calculated CI
1.36
to
4.73
Estimate of Between-subject 2.62 Between-subject calculated CI 0.68 to 7.35 |
ID: 0052
Gallagher SK, Johnson LK, and Milne DB, 1989, Clin Chem, 35, 369-73 , Short-term and long-term variability of indices related to nutritional status. I: Ca, Cu, Fe, Mg, and Zn |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 0 Number of females 5 | C5,7,8,10,13 |
Calcium (Ca) |
Estimate of Within-subject 1.81
Within-subject calculated CI
1.60
to
2.08
Estimate of Between-subject Between-subject calculated CI to |
ID: 0377
Gardham C, Stevens PE, Delaney MP, LeRoux M, Coleman A and Lamb E, 2010, CliniJ Am Soc Nephrol, 5, 1261-7 , Variability of Parathyroid hormone ond other markers of bone mineral metabolism in patients receiving hemodialysis |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 4 Number of females 8 | C10 |
Calcium (Ca) |
Estimate of Within-subject 2.9
Within-subject calculated CI
2.64
to
3.21
Estimate of Between-subject Between-subject calculated CI to |
ID: 0377
Gardham C, Stevens PE, Delaney MP, LeRoux M, Coleman A and Lamb E, 2010, CliniJ Am Soc Nephrol, 5, 1261-7 , Variability of Parathyroid hormone ond other markers of bone mineral metabolism in patients receiving hemodialysis |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 22 Number of males 11 Number of females 11 | C10 |
Calcium (Ca) |
Estimate of Within-subject 2.39
Within-subject calculated CI
1.95
to
3.05
Estimate of Between-subject 3.78 Between-subject calculated CI 2.65 to 6.03 |
ID: 0062
González-Revaldería J., García-Bermejo S., Menchén-Herreros A., and Fernández-Rodriguez E, 1991, Clin Chem, 37, 596 , Towards narrower analytical goals in routine laboratory work |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 5 Number of females 10 | C10 |
Calcium (Ca) |
Estimate of Within-subject 2.1
Within-subject calculated CI
1.83
to
2.43
Estimate of Between-subject 1.5 Between-subject calculated CI 0.99 to 2.47 |
ID: 0064
Gowans EMS, Fraser G., 1987, Clin Chem, 33, 717 , Longer-term biological vari ation of commonly analyzed serum constituent |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 7 Number of females 8 | C8,10,13 |
Calcium (Ca) |
Estimate of Within-subject 1.7
Within-subject calculated CI
1.45
to
1.94
Estimate of Between-subject 2.8 Between-subject calculated CI 2.36 to 3.41 |
ID: 0069
Harris EK, Kanofsky P, Shakarji G and Cotlove E, 1970, Clin Chem, 16, 1022-7 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 68 Number of males Number of females | C8,10,13 |
Calcium (Ca) |
Estimate of Within-subject 1.6
Within-subject calculated CI
0.20
to
2.04
Estimate of Between-subject Between-subject calculated CI to |
ID: 0073
Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females 0 | C8,13 |
Calcium (Ca) |
Estimate of Within-subject 1.2
Within-subject calculated CI
0.00
to
1.55
Estimate of Between-subject Between-subject calculated CI to |
ID: 0073
Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males Number of females 14 | C8,13 |
Calcium (Ca) |
Estimate of Within-subject 2.8
Within-subject calculated CI
2.07
to
3.46
Estimate of Between-subject Between-subject calculated CI to |
ID: 0073
Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males 0 Number of females 9 | C8,13 |
Calcium (Ca) |
Estimate of Within-subject 1.62
Within-subject calculated CI
1.34
to
1.99
Estimate of Between-subject Between-subject calculated CI to |
ID: 0074
Hölzel WGE, 1988, Clin Chem, 34, 1485-8 , Influence of hypertension and antihypertensive drugs on the biological intra-individual variation of electrolytes and lipids in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females | C8,13 |
Calcium (Ca) |
Estimate of Within-subject 1.3
Within-subject calculated CI
0.00
to
1.77
Estimate of Between-subject Between-subject calculated CI to |
ID: 0073
Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 8 Number of males 8 Number of females 0 | C8,13 |
Calcium (Ca) |
Estimate of Within-subject 3.3
Within-subject calculated CI
3.11
to
3.50
Estimate of Between-subject Between-subject calculated CI to |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1416 Number of males Number of females | C5,7,8,10,12,13 |
Calcium (Ca) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 4.7 Between-subject calculated CI 0.00 to 0.00 |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 16135 Number of males Number of females | C5,7,8,10,12,13 |
Calcium (Ca) |
Estimate of Within-subject 2.2
Within-subject calculated CI
2.00
to
2.41
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 408 Number of males 408 Number of females | C5,7,10 |
Calcium (Ca) |
Estimate of Within-subject 2.2
Within-subject calculated CI
2.00
to
2.41
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 408 Number of males Number of females 408 | C5,7,10 |
Calcium (Ca) |
Estimate of Within-subject 2.3
Within-subject calculated CI
2.16
to
2.45
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 835 Number of males Number of females | C5,7,10 |
Calcium (Ca) |
Estimate of Within-subject 1.7
Within-subject calculated CI
to
Estimate of Between-subject 3.6 Between-subject calculated CI to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 2801 Number of males Number of females 2801 | C4,5,6,7,10,12,13 |
Calcium (Ca) |
Estimate of Within-subject 1.6
Within-subject calculated CI
to
Estimate of Between-subject 3.7 Between-subject calculated CI to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1817 Number of males 1817 Number of females | C4,5,6,7,10,12,13 |
Calcium (Ca) |
Estimate of Within-subject 2.8
Within-subject calculated CI
2.62
to
2.99
Estimate of Between-subject Between-subject calculated CI to |
ID: 0271
Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 640 Number of males 256 Number of females 384 | C4,5,6,7,10,13 |
Calcium (Ca) |
Estimate of Within-subject 2.0
Within-subject calculated CI
0.30
to
2.62
Estimate of Between-subject 3.57 Between-subject calculated CI 3.06 to 4.16 |
ID: 0427
Lutsey P, Parrinello CM, Misialek JR et al, 2016, Clin Chem, 12, 1647-53 , Short-term variability of vitamin D-related biomarkers |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 160 Number of males 64 Number of females 96 | C5,7,8,10,11,13 |
Calcium (Ca) |
Estimate of Within-subject 1.6
Within-subject calculated CI
0.71
to
2.00
Estimate of Between-subject 3.3 Between-subject calculated CI 2.79 to 3.97 |
ID: 0428
Meijers WC, Van del Velde AR, Kobold ACM, et al, 2017, Eur J Hearth Failure , 19, 357-65 , Variability of biomarkers in patients with chronic heart failure and healthy controls |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 83 Number of males 79 Number of females 4 | C3,4,8,10 |
Calcium (Ca) |
Estimate of Within-subject 1.7
Within-subject calculated CI
0.00
to
2.18
Estimate of Between-subject 3.2 Between-subject calculated CI 2.46 to 4.42 |
ID: 0428
Meijers WC, Van del Velde AR, Kobold ACM, et al, 2017, Eur J Hearth Failure , 19, 357-65 , Variability of biomarkers in patients with chronic heart failure and healthy controls |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 28 Number of males 14 Number of females 14 | C3,4,8,10 |
Calcium (Ca) |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0299
Pascoe P and Gallagher CS, 1984, Cin Chem, 30, 583-4 , Components of biological variation of some serum analytes in hospitalized pregnant women |
State Of Wellbeing Pregnant Number of Subjects 15 Number of males Number of females 15 | A1,2,3,4,5 |
Calcium (Ca) |
Estimate of Within-subject 1.6
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0130
Pickup JF, Harris EK, Kearns M and Brown SS, 1977, Clin Chem, 23, 842-50 , Intra-individual variation of some serum constituents and its relevance to population-based reference ranges |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 37 Number of males 37 Number of females | C10 |
Calcium (Ca) |
Estimate of Within-subject 0.3
Within-subject calculated CI
0.00
to
0.73
Estimate of Between-subject 1.1 Between-subject calculated CI 0.89 to 1.40 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 56 Number of males 56 Number of females | C8,13 |
Calcium (Ca) |
Estimate of Within-subject 0.5
Within-subject calculated CI
0.00
to
0.84
Estimate of Between-subject 1.2 Between-subject calculated CI 0.98 to 1.50 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males Number of females 62 | C8,13 |
Calcium (Ca) |
Estimate of Within-subject 1.7
Within-subject calculated CI
1.39
to
1.95
Estimate of Between-subject 2.3 Between-subject calculated CI 1.91 to 2.83 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 71 Number of females | C8,13 |
Calcium (Ca) |
Estimate of Within-subject 2.5
Within-subject calculated CI
2.19
to
2.82
Estimate of Between-subject 2.9 Between-subject calculated CI 2.36 to 3.62 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 64 | C8,13 |
Calcium (Ca) |
Estimate of Within-subject 2.5
Within-subject calculated CI
1.70
to
3.76
Estimate of Between-subject 5.02 Between-subject calculated CI 3.34 to 8.80 |
ID: 0266
Statland BE, Winkel P and Bokelund H, 1973, Clin Chem, 19, 1374-9 , Factors contributing to intra-individual variation of serum constituents: 1. within-day variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | C8,13 |
Calcium (Ca) |
Estimate of Within-subject 2.9
Within-subject calculated CI
0.00
to
7.43
Estimate of Between-subject 2.7 Between-subject calculated CI 0.00 to 4.01 |
ID: 0165
Williams GZ, Widdowson GM and Penton J, 1978, Clin Chem, 24, 313-20 , Individual Character of Variation in Time-Series Studies of Healthy People II. Differences in Values for Clinical Chemical Analytes in Serum among Demographic Groups by Age and Sex |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1105 Number of males 628 Number of females 477 | C8,10,13 |
Calcium (Ca) |
Estimate of Within-subject 0.7
Within-subject calculated CI
to
Estimate of Between-subject 1.3 Between-subject calculated CI to |
ID: 0166
Winkel P, Statland BE and Bokelund H, 1974, Clin Chem, 20, 1520-7 , Factors Contributing to Intra-Individual Variation of serum constituents: 5. Short-Term day-to-day and within-hour variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | C8,10,12,13 |
Calcium (Ca) |
Estimate of Within-subject 1.62
Within-subject calculated CI
0.00
to
2.56
Estimate of Between-subject 3.36 Between-subject calculated CI 2.20 to 6.30 |
ID: 0168
Young DS, Harris EK and Cotlove E, 1971, Clin Chem, 17, 403-10 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. IV. Results of a study designed to eliminate long-term analytic deviations. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 9 Number of females | C8,10 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Calcium - ionised |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0220
Cembrowski G, Tran DV and Higgins TN, 2010, Clin Chem Lab Med, 48, 1447-54 , The use of serial patient blood gas, electrolyte and glucose results to derive biological variation: a new tool to assess the acceptability of intensive care unit testing |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 1676 Number of males Number of females | |
Calcium - ionised |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 3.6 Between-subject calculated CI 0.00 to 0.00 |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14593 Number of males Number of females | C5,7,8,10,12,13 |
Calcium - ionised |
Estimate of Within-subject 2.4
Within-subject calculated CI
2.25
to
2.54
Estimate of Between-subject Between-subject calculated CI to |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1182 Number of males Number of females | C5,7,8,10,12,13 |
Calcium - ionised |
Estimate of Within-subject 2.18
Within-subject calculated CI
1.95
to
2.38
Estimate of Between-subject 1.58 Between-subject calculated CI 1.26 to 2.03 |
ID: 0182
Valero Politi J, Guinard-Salvá M, González-Alba JM, 2001, Clin Chem Lab Med, 39, 45-9 , Annual rhythmic and non rhythmic biological variation of ionized magnesium and ionized calcium concentrations |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 51 Number of males 16 Number of females 35 | C7,8,10,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Cancer antigen 125 (CA-125) |
Estimate of Within-subject 9.1
Within-subject calculated CI
7.88
to
10.75
Estimate of Between-subject 10.6 Between-subject calculated CI 7.88 to 14.93 |
ID: 0258
Braga F, Ferraro S, Mozzi R and Panteghini M, 2014, Clin Chem Lab Med, 52, 1625-31 , The importance of individual biology in the clinical use of serum biomarkers for ovarian cancer |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 28 Number of males 0 Number of females 28 | B7,8 |
Cancer antigen 125 (CA-125) |
Estimate of Within-subject 9.4
Within-subject calculated CI
8.73
to
10.17
Estimate of Between-subject 38.4 Between-subject calculated CI 31.41 to 49.37 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 39 Number of males Number of females 39 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Cancer antigen 125 (CA-125) |
Estimate of Within-subject 6.1
Within-subject calculated CI
5.26
to
7.21
Estimate of Between-subject 44.8 Between-subject calculated CI 31.27 to 78.67 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males Number of females 10 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Cancer antigen 125 (CA-125) |
Estimate of Within-subject 8.6
Within-subject calculated CI
8.01
to
9.27
Estimate of Between-subject 40.9 Between-subject calculated CI 33.76 to 51.87 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 48 Number of males Number of females 48 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Cancer antigen 125 (CA-125) |
Estimate of Within-subject 21.1
Within-subject calculated CI
18.41
to
24.73
Estimate of Between-subject 36.3 Between-subject calculated CI 28.26 to 49.41 |
ID: 0201
Trapé J, Perez de Olaguer J, Buxó J and López L, 2005, Clin Chem, 51, 219-22 , Biological variation of tumor markers and its aplication in the detection of disease progression in patients with non-samll cell lung cancer |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 30 Number of males 30 Number of females | C10,12,13 |
Cancer antigen 125 (CA-125) |
Estimate of Within-subject 23.3
Within-subject calculated CI
21.62
to
25.10
Estimate of Between-subject 70.6 Between-subject calculated CI 56.48 to 94.01 |
ID: 0181
Tuxen MK, Solétormos G, Pertersen PH, Cioler V, Dombernovsky P, 1999, Gynecologic Oncology, 74, 12-22 , Assessment of biological variation and analytic impreciion of CA 125, CEA and TPA in relation to monitoring of ovarian cancer |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 31 Number of males Number of females 31 | C10 |
Cancer antigen 125 (CA-125) |
Estimate of Within-subject 20.0
Within-subject calculated CI
18.69
to
21.48
Estimate of Between-subject Between-subject calculated CI to |
ID: 0375
Tuxen MK, Sölétormos G, Petersen PH and Dombernowsky P, 2001, Clin Chem Lab Med, 39, 531-8 , Interpretation of sequential measurements of cancer Antigen 125 (CA 125), Carcinoembryonic Antigen (CEA) and Tissue Polypeptide Antigen (TPA) based on analytical imprecision and biological variation in the monitoring of ovarian cancer |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 31 Number of males Number of females 31 | C8,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Cancer antigen 15-3 (CA 15.3) |
Estimate of Within-subject 5.0
Within-subject calculated CI
4.63
to
5.42
Estimate of Between-subject 39.6 Between-subject calculated CI 32.64 to 50.35 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 42 Number of males Number of females 42 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Cancer antigen 15-3 (CA 15.3) |
Estimate of Within-subject 3.5
Within-subject calculated CI
2.94
to
4.21
Estimate of Between-subject 40.6 Between-subject calculated CI 28.35 to 71.27 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males Number of females 10 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Cancer antigen 15-3 (CA 15.3) |
Estimate of Within-subject 4.5
Within-subject calculated CI
4.19
to
4.84
Estimate of Between-subject 40.4 Between-subject calculated CI 33.90 to 50.00 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 52 Number of males Number of females 52 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Cancer antigen 15-3 (CA 15.3) |
Estimate of Within-subject 4.4
Within-subject calculated CI
4.16
to
4.67
Estimate of Between-subject 36.8 Between-subject calculated CI 31.89 to 43.50 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Cancer antigen 15-3 (CA 15.3) |
Estimate of Within-subject 4.3
Within-subject calculated CI
3.91
to
4.76
Estimate of Between-subject 29.4 Between-subject calculated CI 23.40 to 39.54 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Cancer antigen 15-3 (CA 15.3) |
Estimate of Within-subject 6.0
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0211
Dittadi R, Peloso L and Gion M, 2008, Ann Clin Biochem, 45, 226-8 , Witin-subject biological variation in disease: the case of tumour markers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 0 Number of females 12 | C6,10,12 |
Cancer antigen 15-3 (CA 15.3) |
Estimate of Within-subject 17.3
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0211
Dittadi R, Peloso L and Gion M, 2008, Ann Clin Biochem, 45, 226-8 , Witin-subject biological variation in disease: the case of tumour markers |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 21 Number of males 0 Number of females 21 | C6,10,12 |
Cancer antigen 15-3 (CA 15.3) |
Estimate of Within-subject 6.2
Within-subject calculated CI
0.00
to
9.48
Estimate of Between-subject 62.9 Between-subject calculated CI 48.35 to 89.95 |
ID: 0151
Sölétormos G, Schioler V, Nielsen D, Skovsgaard T, Domnerbowsky P, 1993, Clin Chem, 39, 2077-83 , Interpretation of results for tumor markers on the basis of analytical imprecision an biological variation |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males 0 Number of females 22 | C8,12,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Cancer antigen 19-9 (CA 19-9) |
Estimate of Within-subject 3.3
Within-subject calculated CI
2.98
to
3.66
Estimate of Between-subject 52.0 Between-subject calculated CI 41.81 to 68.79 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 32 Number of males Number of females 32 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Cancer antigen 19-9 (CA 19-9) |
Estimate of Within-subject 4.1
Within-subject calculated CI
3.77
to
4.47
Estimate of Between-subject 58.1 Between-subject calculated CI 47.69 to 74.35 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males Number of females 40 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Cancer antigen 19-9 (CA 19-9) |
Estimate of Within-subject 4.1
Within-subject calculated CI
3.74
to
4.51
Estimate of Between-subject 54.4 Between-subject calculated CI 43.87 to 71.62 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 33 Number of males 33 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Cancer antigen 19-9 (CA 19-9) |
Estimate of Within-subject 4.0
Within-subject calculated CI
3.76
to
4.27
Estimate of Between-subject 56.0 Between-subject calculated CI 48.25 to 66.74 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Cancer antigen 19-9 (CA 19-9) |
Estimate of Within-subject 5.1
Within-subject calculated CI
4.67
to
5.60
Estimate of Between-subject 59.1 Between-subject calculated CI 47.52 to 78.18 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 32 Number of males Number of females 32 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Cancer antigen 19-9 (CA 19-9) |
Estimate of Within-subject 27.2
Within-subject calculated CI
24.01
to
31.33
Estimate of Between-subject 64.24 Between-subject calculated CI 51.88 to 83.53 |
ID: 0358
Erden G, Barazi AO, Tezcan G and Yildirimkaya MM, 2008, Scand J Clin Lab Invest, 68, 212-8 , Biological variation and reference change vàlues of CA 19-9, CEA, AFP in sèrum of healthy individuals |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 49 Number of males 25 Number of females 24 | C8,10 |
Cancer antigen 19-9 (CA 19-9) |
Estimate of Within-subject 15.9
Within-subject calculated CI
13.75
to
18.78
Estimate of Between-subject 159.0 Between-subject calculated CI 119.23 to 238.48 |
ID: 0132
Plebani M, Giacomini A, Beghi L, De Paoli M, Roveroni G, Galleotti F, Corsini A, Fraser CG, 1996, Anticancer Res, 16, 2249-52 , Serum tumor markers in monitoring patients: interpretation of results using analytical and biological variation |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 17 Number of males 9 Number of females 8 | C8,10,12,13 |
Cancer antigen 19-9 (CA 19-9) |
Estimate of Within-subject 6.76
Within-subject calculated CI
5.90
to
7.84
Estimate of Between-subject 48.56 Between-subject calculated CI 37.11 to 70.18 |
ID: 0441
Qi Z, Zhang Lin, Chen Y, Ma X et al, 2015, Clin Chim Acta, 450, 233-6 , . Biological variations of seven tumor markers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 11 Number of females 9 | C8,10 |
Cancer antigen 19-9 (CA 19-9) |
Estimate of Within-subject 15.8
Within-subject calculated CI
11.90
to
22.29
Estimate of Between-subject 102.2 Between-subject calculated CI 73.79 to 165.10 |
ID: 0162
Vestergaard EM, Hein HO, Meyer H, Grunnet N, Jorgensen J, Wolf H, Orntoft TF, 1999, Clin Chem, 45, 54-61 , Reference Values and Biological Variation for Tumor Marker CA 19-9 in Serum for Different Lewis and Secretor Genotypes and Evaluation of Secretor and Lewis Genotyping in a Caucasian Populatio |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 500 Number of males 382 Number of females 118 | C5,10,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Cancer antigen 72-4 (CA 72-4) |
Estimate of Within-subject 16.06
Within-subject calculated CI
13.14
to
20.53
Estimate of Between-subject 95.95 Between-subject calculated CI 63.27 to 195.59 |
ID: 0441
Qi Z, Zhang Lin, Chen Y, Ma X et al, 2015, Clin Chim Acta, 450, 233-6 , . Biological variations of seven tumor markers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 11 Number of females 9 | C8,10 |
Cancer antigen 72-4 (CA 72-4) |
Estimate of Within-subject 50.3
Within-subject calculated CI
43.55
to
59.54
Estimate of Between-subject 103.4 Between-subject calculated CI 77.71 to 151.13 |
ID: 0341
Wang S, Zhao M, Mu R, Zhang X, Yun K and Shang H, 2018, J Clin Lab Anal, 32(4), e22327 , Biological variation of serum neuron-specific enolase and carbohydrate antigen 724 tumor markers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 9 Number of females 11 | B7 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Carbon dioxide (total) |
Estimate of Within-subject 4.0
Within-subject calculated CI
3.38
to
4.74
Estimate of Between-subject 4.8 Between-subject calculated CI 3.37 to 7.77 |
ID: 0068
Harding PJ, Fraser CG, 1987, Clin Chem , 33, 1416-8 , Biological variation of blood acid-base status: consequences for analytical goal-setting and interpretation of results |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 9 Number of females 5 | C7,8,10 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 6.7
Within-subject calculated CI
6.23
to
7.24
Estimate of Between-subject 67.0 Between-subject calculated CI 55.11 to 85.45 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 41 Number of males Number of females 41 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 7.2
Within-subject calculated CI
6.20
to
8.56
Estimate of Between-subject 41.2 Between-subject calculated CI 28.29 to 75.30 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males Number of females 9 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 6.8
Within-subject calculated CI
6.12
to
7.64
Estimate of Between-subject 50.1 Between-subject calculated CI 38.07 to 73.21 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 6.4
Within-subject calculated CI
6.09
to
6.75
Estimate of Between-subject 59.8 Between-subject calculated CI 52.15 to 70.10 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 6.4
Within-subject calculated CI
6.05
to
6.79
Estimate of Between-subject 62.9 Between-subject calculated CI 53.98 to 75.38 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 6.7
Within-subject calculated CI
6.21
to
7.27
Estimate of Between-subject 45.5 Between-subject calculated CI 37.16 to 58.67 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 6.6
Within-subject calculated CI
6.18
to
7.08
Estimate of Between-subject 67.8 Between-subject calculated CI 56.81 to 84.10 |
ID: 0534
Coşkun A, Aarsand AK, Sandberg S, Guerra E, Locatelli M, Díaz-Garzón J, Fernandez-Calle P, Ceriotti F, Jonker N, Bartlett WA, Carobene A, 2021, Clin Chem Lab Med, Online ahead of print, , Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 51 Number of males Number of females 51 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 8.4
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0211
Dittadi R, Peloso L and Gion M, 2008, Ann Clin Biochem, 45, 226-8 , Witin-subject biological variation in disease: the case of tumour markers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males 10 Number of females 12 | C6,10,12 |
Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 19.3
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0211
Dittadi R, Peloso L and Gion M, 2008, Ann Clin Biochem, 45, 226-8 , Witin-subject biological variation in disease: the case of tumour markers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males 10 Number of females 12 | C6,10,12 |
Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 30.87
Within-subject calculated CI
27.49
to
35.19
Estimate of Between-subject 37.14 Between-subject calculated CI 29.32 to 48.57 |
ID: 0358
Erden G, Barazi AO, Tezcan G and Yildirimkaya MM, 2008, Scand J Clin Lab Invest, 68, 212-8 , Biological variation and reference change vàlues of CA 19-9, CEA, AFP in sèrum of healthy individuals |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 49 Number of males 25 Number of females 24 | C8,10 |
Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 10.9
Within-subject calculated CI
5.38
to
14.12
Estimate of Between-subject 178.0 Between-subject calculated CI 122.38 to 325.04 |
ID: 0132
Plebani M, Giacomini A, Beghi L, De Paoli M, Roveroni G, Galleotti F, Corsini A, Fraser CG, 1996, Anticancer Res, 16, 2249-52 , Serum tumor markers in monitoring patients: interpretation of results using analytical and biological variation |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males 5 Number of females 4 | C8,10,12,13 |
Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 10.9
Within-subject calculated CI
5.38
to
14.12
Estimate of Between-subject 178.0 Between-subject calculated CI 122.38 to 325.04 |
ID: 0132
Plebani M, Giacomini A, Beghi L, De Paoli M, Roveroni G, Galleotti F, Corsini A, Fraser CG, 1996, Anticancer Res, 16, 2249-52 , Serum tumor markers in monitoring patients: interpretation of results using analytical and biological variation |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males 5 Number of females 4 | C8,10,12,13 |
Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 10.95
Within-subject calculated CI
9.70
to
12.56
Estimate of Between-subject 46.74 Between-subject calculated CI 35.66 to 67.63 |
ID: 0441
Qi Z, Zhang Lin, Chen Y, Ma X et al, 2015, Clin Chim Acta, 450, 233-6 , . Biological variations of seven tumor markers |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 11 Number of females 9 | C8,10 |
Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 9.3
Within-subject calculated CI
4.27
to
11.41
Estimate of Between-subject 86.8 Between-subject calculated CI 67.09 to 122.90 |
ID: 0151
Sölétormos G, Schioler V, Nielsen D, Skovsgaard T, Domnerbowsky P, 1993, Clin Chem, 39, 2077-83 , Interpretation of results for tumor markers on the basis of analytical imprecision an biological variation |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males Number of females 22 | C8,12,13 |
Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 9.9
Within-subject calculated CI
8.56
to
11.66
Estimate of Between-subject 35.6 Between-subject calculated CI 28.28 to 47.79 |
ID: 0201
Trapé J, Perez de Olaguer J, Buxó J and López L, 2005, Clin Chem, 51, 219-22 , Biological variation of tumor markers and its aplication in the detection of disease progression in patients with non-samll cell lung cancer |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 30 Number of males 30 Number of females | C10,12,13 |
Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 12.6
Within-subject calculated CI
10.81
to
13.98
Estimate of Between-subject 58.3 Between-subject calculated CI 46.69 to 77.58 |
ID: 0181
Tuxen MK, Solétormos G, Pertersen PH, Cioler V, Dombernovsky P, 1999, Gynecologic Oncology, 74, 12-22 , Assessment of biological variation and analytic impreciion of CA 125, CEA and TPA in relation to monitoring of ovarian cancer |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 31 Number of males Number of females 31 | C10 |
Carcinoembryonic antigen (CEA) |
Estimate of Within-subject 17.3
Within-subject calculated CI
16.13
to
18.62
Estimate of Between-subject Between-subject calculated CI to |
ID: 0375
Tuxen MK, Sölétormos G, Petersen PH and Dombernowsky P, 2001, Clin Chem Lab Med, 39, 531-8 , Interpretation of sequential measurements of cancer Antigen 125 (CA 125), Carcinoembryonic Antigen (CEA) and Tissue Polypeptide Antigen (TPA) based on analytical imprecision and biological variation in the monitoring of ovarian cancer |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 31 Number of males Number of females 31 | C8,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Ceruloplasmin |
Estimate of Within-subject 11.3
Within-subject calculated CI
6.57
to
14.71
Estimate of Between-subject 20.3 Between-subject calculated CI 14.24 to 32.83 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16 | C10,12 |
Ceruloplasmin |
Estimate of Within-subject 4.8
Within-subject calculated CI
4.45
to
5.20
Estimate of Between-subject 12.5 Between-subject calculated CI 10.42 to 15.59 |
ID: 0483
Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Ceruloplasmin |
Estimate of Within-subject 4.84
Within-subject calculated CI
4.43
to
5.32
Estimate of Between-subject 14.2 Between-subject calculated CI 11.47 to 18.58 |
ID: 0483
Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Ceruloplasmin |
Estimate of Within-subject 4.9
Within-subject calculated CI
4.63
to
5.20
Estimate of Between-subject 15.2 Between-subject calculated CI 13.20 to 17.90 |
ID: 0483
Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Ceruloplasmin |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0052
Gallagher SK, Johnson LK, and Milne DB, 1989, Clin Chem, 35, 369-73 , Short-term and long-term variability of indices related to nutritional status. I: Ca, Cu, Fe, Mg, and Zn |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects Number of males Number of females | D4 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Chloride |
Estimate of Within-subject 0.98
Within-subject calculated CI
0.93
to
1.04
Estimate of Between-subject 1.34 Between-subject calculated CI 1.16 to 1.58 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Chloride |
Estimate of Within-subject 0.96
Within-subject calculated CI
0.88
to
1.05
Estimate of Between-subject 1.34 Between-subject calculated CI 1.08 to 1.75 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Chloride |
Estimate of Within-subject 0.99
Within-subject calculated CI
0.92
to
1.06
Estimate of Between-subject 1.35 Between-subject calculated CI 1.12 to 1.68 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Chloride |
Estimate of Within-subject 0.8
Within-subject calculated CI
0.00
to
1.02
Estimate of Between-subject 1.5 Between-subject calculated CI 0.00 to 2.06 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 16 Number of females 13 | C10,12 |
Chloride |
Estimate of Within-subject 1.4
Within-subject calculated CI
0.00
to
1.99
Estimate of Between-subject 1.6 Between-subject calculated CI 1.17 to 2.40 |
ID: 0007
Biosca C, Ricós C, Jiménez CV, Lauzurica R and Galimany R, 1997, Clin Chem, 43, 2206-8 , Model for establishing biological variation in non-healthy situations: renal posttranplantation data |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 19 Number of males 12 Number of females 7 | C10 |
Chloride |
Estimate of Within-subject 1.3
Within-subject calculated CI
1.09
to
1.58
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0298
Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females | C8,10,13 |
Chloride |
Estimate of Within-subject 1.3
Within-subject calculated CI
1.18
to
1.40
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0027
Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126 | C4,8,10,13 |
Chloride |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.82 to |
ID: 0288
Cotlove E, Harris EK and Williams GZ, 1970, Clin Chem, 16, 1028-32 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 68 Number of males 33 Number of females 35 | D4 |
Chloride |
Estimate of Within-subject 13.1
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0269
De Marco ML, Dietzen DJ and Brown SM, 2015, Clin Biochem, 48, 443-7 , Sweating the small stuff: Adequacy and accuracy in sweat chloride determination |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 284 Number of males Number of females | C8,10,11 |
Chloride |
Estimate of Within-subject 0.93
Within-subject calculated CI
0.65
to
1.27
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0297
Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni” |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females | C8,10,13 |
Chloride |
Estimate of Within-subject 2.2
Within-subject calculated CI
2.03
to
2.38
Estimate of Between-subject 1.9 Between-subject calculated CI 1.42 to 2.78 |
ID: 0045
Fraser CG and Hearne CR, 1982, Ann Clin Biochem, 19, 431-4 , Components of variance of some plasma constituents in patiens with myocardial infarction |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males Number of females | C10 |
Chloride |
Estimate of Within-subject 1.2
Within-subject calculated CI
1.06
to
1.35
Estimate of Between-subject 1.6 Between-subject calculated CI 1.24 to 2.21 |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | C4,10 |
Chloride |
Estimate of Within-subject 1.1
Within-subject calculated CI
0.93
to
1.30
Estimate of Between-subject 4.8 Between-subject calculated CI 3.29 to 8.78 |
ID: 0046
Fraser CG, Williams P, 1983, Clin Chem, 29, 508-10 , Short-term biological variation of plasma analytes in renal disease |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males Number of females | C10,13 |
Chloride |
Estimate of Within-subject 1.21
Within-subject calculated CI
0.97
to
1.56
Estimate of Between-subject 1.28 Between-subject calculated CI 0.82 to 2.12 |
ID: 0062
González-Revaldería J., García-Bermejo S., Menchén-Herreros A., and Fernández-Rodriguez E, 1991, Clin Chem, 37, 596 , Towards narrower analytical goals in routine laboratory work |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 5 Number of females 10 | C10 |
Chloride |
Estimate of Within-subject 1.2
Within-subject calculated CI
1.00
to
1.43
Estimate of Between-subject 1.3 Between-subject calculated CI 0.91 to 2.08 |
ID: 0064
Gowans EMS, Fraser G., 1987, Clin Chem, 33, 717 , Longer-term biological vari ation of commonly analyzed serum constituent |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 7 Number of females 8 | C8,10,13 |
Chloride |
Estimate of Within-subject 1.4
Within-subject calculated CI
1.30
to
1.50
Estimate of Between-subject 1.2 Between-subject calculated CI 0.99 to 1.48 |
ID: 0069
Harris EK, Kanofsky P, Shakarji G and Cotlove E, 1970, Clin Chem, 16, 1022-7 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 68 Number of males Number of females | C8,10,13 |
Chloride |
Estimate of Within-subject 1.2
Within-subject calculated CI
1.01
to
1.46
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females | C8,13 |
Chloride |
Estimate of Within-subject 1.15
Within-subject calculated CI
0.97
to
1.40
Estimate of Between-subject Between-subject calculated CI to |
ID: 0074
Hölzel WGE, 1988, Clin Chem, 34, 1485-8 , Influence of hypertension and antihypertensive drugs on the biological intra-individual variation of electrolytes and lipids in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females | C8,13 |
Chloride |
Estimate of Within-subject 0.6
Within-subject calculated CI
0.49
to
0.73
Estimate of Between-subject Between-subject calculated CI to |
ID: 0074
Hölzel WGE, 1988, Clin Chem, 34, 1485-8 , Influence of hypertension and antihypertensive drugs on the biological intra-individual variation of electrolytes and lipids in serum |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 14 Number of males 14 Number of females | C8,13 |
Chloride |
Estimate of Within-subject 1.15
Within-subject calculated CI
0.97
to
1.40
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0071
Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females 0 | C8,13 |
Chloride |
Estimate of Within-subject 1.8
Within-subject calculated CI
1.41
to
2.24
Estimate of Between-subject Between-subject calculated CI to |
ID: 0073
Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 8 Number of males 8 Number of females 0 | C8,13 |
Chloride |
Estimate of Within-subject 1.7
Within-subject calculated CI
1.35
to
2.09
Estimate of Between-subject Between-subject calculated CI to |
ID: 0073
Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males 0 Number of females 9 | C8,13 |
Chloride |
Estimate of Within-subject 1.16
Within-subject calculated CI
1.00
to
1.37
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0071
Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 0 Number of females 14 | C8,13 |
Chloride |
Estimate of Within-subject 1.16
Within-subject calculated CI
1.00
to
1.36
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 0 Number of females 14 | C8,13 |
Chloride |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject 3.1 Between-subject calculated CI 0.00 to 0.00 |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 16118 Number of males Number of females | C5,7,10,13 |
Chloride |
Estimate of Within-subject 1.6
Within-subject calculated CI
1.50
to
1.70
Estimate of Between-subject 2.8 Between-subject calculated CI 2.64 to 2.97 |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 823 Number of males Number of females | C10 |
Chloride |
Estimate of Within-subject 1.9
Within-subject calculated CI
1.43
to
2.29
Estimate of Between-subject Between-subject calculated CI to |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 2076 Number of males Number of females | C5,7,10,13 |
Chloride |
Estimate of Within-subject 1.1
Within-subject calculated CI
to
Estimate of Between-subject 1.9 Between-subject calculated CI 0.00 to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1882 Number of males 1882 Number of females | C4,5,6,7,10,12,13 |
Chloride |
Estimate of Within-subject 1.1
Within-subject calculated CI
to
Estimate of Between-subject 1.9 Between-subject calculated CI 0.00 to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 2901 Number of males Number of females 2901 | C4,5,6,7,10,12,13 |
Chloride |
Estimate of Within-subject 1.8
Within-subject calculated CI
0.00
to
4.77
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0271
Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9356 Number of males Number of females | C4,5,6,7,10,13 |
Chloride |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0299
Pascoe P and Gallagher CS, 1984, Cin Chem, 30, 583-4 , Components of biological variation of some serum analytes in hospitalized pregnant women |
State Of Wellbeing Pregnant Number of Subjects 15 Number of males Number of females 15 | A1,2,3,4,5 |
Chloride |
Estimate of Within-subject 0.9
Within-subject calculated CI
0.53
to
1.09
Estimate of Between-subject 1.4 Between-subject calculated CI 1.16 to 1.72 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 56 Number of females | C8 |
Chloride |
Estimate of Within-subject 0.8
Within-subject calculated CI
0.00
to
1.07
Estimate of Between-subject 1.3 Between-subject calculated CI 1.06 to 1.63 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 62 | C8 |
Chloride |
Estimate of Within-subject 1.4
Within-subject calculated CI
1.13
to
1.61
Estimate of Between-subject 1.7 Between-subject calculated CI 1.38 to 2.13 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 64 | C8 |
Chloride |
Estimate of Within-subject 1.3
Within-subject calculated CI
1.04
to
1.50
Estimate of Between-subject 1.6 Between-subject calculated CI 1.32 to 1.98 |
ID: 0246
Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 71 Number of females | C8 |
Chloride |
Estimate of Within-subject 2.4
Within-subject calculated CI
1.16
to
3.87
Estimate of Between-subject 4.4 Between-subject calculated CI 2.80 to 7.84 |
ID: 0266
Statland BE, Winkel P and Bokelund H, 1973, Clin Chem, 19, 1374-9 , Factors contributing to intra-individual variation of serum constituents: 1. within-day variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | C8,13 |
Chloride |
Estimate of Within-subject 2.1
Within-subject calculated CI
to
Estimate of Between-subject 1.9 Between-subject calculated CI to |
ID: 0166
Winkel P, Statland BE and Bokelund H, 1974, Clin Chem, 20, 1520-7 , Factors Contributing to Intra-Individual Variation of serum constituents: 5. Short-Term day-to-day and within-hour variation of serum constituents in healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females | C8,10,12,13 |
Chloride |
Estimate of Within-subject 2.07
Within-subject calculated CI
1.78
to
2.46
Estimate of Between-subject 0.82 Between-subject calculated CI 0.22 to 1.81 |
ID: 0168
Young DS, Harris EK and Cotlove E, 1971, Clin Chem, 17, 403-10 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. IV. Results of a study designed to eliminate long-term analytic deviations. |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 9 Number of females | C8,10,13 |
Details of Datasets
Analyte | Estimates | Reference | Study Group | Score |
---|---|---|---|---|
Cholesterol |
Estimate of Within-subject 5.17
Within-subject calculated CI
4.79
to
5.62
Estimate of Between-subject 17.7 Between-subject calculated CI 14.43 to 22.85 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Cholesterol |
Estimate of Within-subject 6.11
Within-subject calculated CI
5.69
to
6.60
Estimate of Between-subject 13.4 Between-subject calculated CI 11.01 to 17.05 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 43 Number of males Number of females 43 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Cholesterol |
Estimate of Within-subject 5.18
Within-subject calculated CI
4.92
to
5.46
Estimate of Between-subject 17.4 Between-subject calculated CI 15.16 to 20.40 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Cholesterol |
Estimate of Within-subject 4.09
Within-subject calculated CI
3.52
to
4.88
Estimate of Between-subject 14.6 Between-subject calculated CI 9.99 to 26.73 |
ID: 0335
Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males Number of females 10 | A1,2,3,4,5,6,7,8,9,10,11,12,13,14 |
Cholesterol |
Estimate of Within-subject 6.4
Within-subject calculated CI
5.48
to
7.61
Estimate of Between-subject 13.0 Between-subject calculated CI 9.44 to 20.34 |
ID: 0232
Alexander KS, Kazmierczak SC, Snyder CK, Oberdorf JA and Farrell DH, 2013, Clin Chem Lab Med , 51(9), 1875-82 , Prognostic utility of biochemical markers of cardiovascular risk: impact of biological variability |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 6 Number of females 9 | C8 |
Cholesterol |
Estimate of Within-subject 7.6
Within-subject calculated CI
6.80
to
8.59
Estimate of Between-subject 12.1 Between-subject calculated CI 8.80 to 18.92 |
ID: 0232
Alexander KS, Kazmierczak SC, Snyder CK, Oberdorf JA and Farrell DH, 2013, Clin Chem Lab Med , 51(9), 1875-82 , Prognostic utility of biochemical markers of cardiovascular risk: impact of biological variability |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 6 Number of females 9 | C8 |
Cholesterol |
Estimate of Within-subject 2.4
Within-subject calculated CI
1.26
to
2.99
Estimate of Between-subject 15.7 Between-subject calculated CI 12.47 to 21.14 |
ID: 0248
Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 14 Number of females 15 | C10,12 |
Cholesterol |
Estimate of Within-subject 4.8
Within-subject calculated CI
4.15
to
5.61
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0008
Bookstein MS, Gidding S, Donovan M and Smith F, 1990, Arch Intern Med, 150, 1653-7 , Day-to-day variability of serum cholesterol, trigliceryde, and high-density lipoprotein cholesterol levels |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 51 Number of males 18 Number of females 33 | C8,10,13 |
Cholesterol |
Estimate of Within-subject 8.2
Within-subject calculated CI
6.93
to
9.74
Estimate of Between-subject 12.55 Between-subject calculated CI 9.98 to 16.30 |
ID: 0013
Brown SA, Boerwinkle E, Kashanian FK, Swanson N and Patsch W, 1990, Clin Chem, 36, 207-10 , Variation in concentrations of lipids, lipoprotein lipids, and apolipoproteins A-I and B in plasma from healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 44 Number of males Number of females 44 | C8,10,13 |
Cholesterol |
Estimate of Within-subject 5.2
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 5 Number of females 4 | C10,12 |
Cholesterol |
Estimate of Within-subject 4.4
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males 6 Number of females 7 | C10,12 |
Cholesterol |
Estimate of Within-subject 8.1
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0263
Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 4 Number of females 4 | C10,12 |
Cholesterol |
Estimate of Within-subject 5.6
Within-subject calculated CI
4.43
to
7.29
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0021
Chambless LE, McMahon RP, Brown SA, Patsch W, Heiss G and Shen Y, 1992, Am J Epidem, 0136, 1069-1081 , Short-term intraindividual variability in lipoprotein measurements: the atherosclerosis risk communities (ARIC) study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males 10 Number of females 12 | C8,10,13 |
Cholesterol |
Estimate of Within-subject 3.1
Within-subject calculated CI
2.11
to
4.38
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0021
Chambless LE, McMahon RP, Brown SA, Patsch W, Heiss G and Shen Y, 1992, Am J Epidem, 0136, 1069-1081 , Short-term intraindividual variability in lipoprotein measurements: the atherosclerosis risk communities (ARIC) study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 18 Number of males 7 Number of females 11 | C8,10,13 |
Cholesterol |
Estimate of Within-subject 5.5
Within-subject calculated CI
4.66
to
6.64
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0298
Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females | C4,5,8,10,12 |
Cholesterol |
Estimate of Within-subject 7.8
Within-subject calculated CI
7.00
to
8.65
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0023
Choudhury N, Lyons Wall PM and Stewart Truswell A, 1994, Clin Chem, 40, 710-5 , Effect of time between measurements on within-subject variability for total cholesterol and high-density lipoprotein cholesterol in women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males Number of females 13 | C8,10,12,13 |
Cholesterol |
Estimate of Within-subject 5.4
Within-subject calculated CI
4.43
to
6.87
Estimate of Between-subject 28.9 Between-subject calculated CI 20.40 to 49.18 |
ID: 0255
Corte Z and Venta R, 2014, Rev Lab Clin, 7, 88-95 , Variación biológica de lípids y lipoproteinas séricas en indivíduos sanos y pacientes con enfermedad renal crónica terminal |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 3 Number of females 8 | B8 |
Cholesterol |
Estimate of Within-subject 7.0
Within-subject calculated CI
6.01
to
8.38
Estimate of Between-subject 39.6 Between-subject calculated CI 29.85 to 58.66 |
ID: 0255
Corte Z and Venta R, 2014, Rev Lab Clin, 7, 88-95 , Variación biológica de lípids y lipoproteinas séricas en indivíduos sanos y pacientes con enfermedad renal crónica terminal |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 18 Number of males 7 Number of females 11 | B8 |
Cholesterol |
Estimate of Within-subject 6.5
Within-subject calculated CI
6.24
to
6.77
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0027
Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126 | C4,8,10,13 |
Cholesterol |
Estimate of Within-subject 2.8
Within-subject calculated CI
2.14
to
3.27
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0027
Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males 23 Number of females 39 | C4,8,10,13 |
Cholesterol |
Estimate of Within-subject
Within-subject calculated CI
to
Estimate of Between-subject Between-subject calculated CI to |
ID: 0288
Cotlove E, Harris EK and Williams GZ, 1970, Clin Chem, 16, 1028-32 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 68 Number of males 33 Number of females 35 | D4 |
Cholesterol |
Estimate of Within-subject 2.5
Within-subject calculated CI
1.54
to
3.56
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 14 Number of females | C8,10,13 |
Cholesterol |
Estimate of Within-subject 1.5
Within-subject calculated CI
0.00
to
3.64
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 4 Number of males Number of females 4 | C8,10,13 |
Cholesterol |
Estimate of Within-subject 6.8
Within-subject calculated CI
5.56
to
8.61
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 7 Number of males Number of females 7 | C8,10,13 |
Cholesterol |
Estimate of Within-subject 6.2
Within-subject calculated CI
5.10
to
7.76
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8,10,13 |
Cholesterol |
Estimate of Within-subject 6.1
Within-subject calculated CI
5.41
to
6.95
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 14 Number of females | C8,10,13 |
Cholesterol |
Estimate of Within-subject 7.7
Within-subject calculated CI
6.12
to
10.19
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8,10,13 |
Cholesterol |
Estimate of Within-subject 7.3
Within-subject calculated CI
6.22
to
8.76
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 7 Number of males Number of females 7 | C8,10,13 |
Cholesterol |
Estimate of Within-subject 3.6
Within-subject calculated CI
1.80
to
6.50
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 4 Number of males Number of females 4 | C8,10,13 |
Cholesterol |
Estimate of Within-subject 4.8
Within-subject calculated CI
4.14
to
5.62
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0032
Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 17 Number of males 17 Number of females | C8,10,13 |
Cholesterol |
Estimate of Within-subject 5.83
Within-subject calculated CI
4.80
to
7.39
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0297
Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni” |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females | C4,8,10,13 |
Cholesterol |
Estimate of Within-subject 4.9
Within-subject calculated CI
4.24
to
5.74
Estimate of Between-subject 17.3 Between-subject calculated CI 12.35 to 28.64 |
ID: 0044
Ford RP, 1989, Ann Clin Biochem, 26, 281-5 , Essential data derived from biological variation for establishment and use of lipid analyses |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 6 Number of females 6 | C8,10,13 |
Cholesterol |
Estimate of Within-subject 5.8
Within-subject calculated CI
5.30
to
6.40
Estimate of Between-subject 11.0 Between-subject calculated CI 8.62 to 15.07 |
ID: 0049
Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13 | C10 |
Cholesterol |
Estimate of Within-subject 8.4
Within-subject calculated CI
7.82
to
9.00
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0050
Friedlander Y, Kark JD and Stein Y, 1985, Clin Chem, 31, 1121-6 , Variability of plasma lipids and lipoproteins: the Jerusalem Lipid Research Clinic Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 656 Number of males 656 Number of females | C10,13 |
Cholesterol |
Estimate of Within-subject 8.7
Within-subject calculated CI
8.07
to
9.35
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0050
Friedlander Y, Kark JD and Stein Y, 1985, Clin Chem, 31, 1121-6 , Variability of plasma lipids and lipoproteins: the Jerusalem Lipid Research Clinic Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 583 Number of males 583 Number of females | C10,13 |
Cholesterol |
Estimate of Within-subject 7.4
Within-subject calculated CI
5.94
to
8.77
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0050
Friedlander Y, Kark JD and Stein Y, 1985, Clin Chem, 31, 1121-6 , Variability of plasma lipids and lipoproteins: the Jerusalem Lipid Research Clinic Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 122 Number of males Number of females 122 | C10,13 |
Cholesterol |
Estimate of Within-subject 8.0
Within-subject calculated CI
7.33
to
8.68
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0050
Friedlander Y, Kark JD and Stein Y, 1985, Clin Chem, 31, 1121-6 , Variability of plasma lipids and lipoproteins: the Jerusalem Lipid Research Clinic Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 489 Number of males Number of females 489 | C10,13 |
Cholesterol |
Estimate of Within-subject 8.3
Within-subject calculated CI
7.62
to
9.01
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0050
Friedlander Y, Kark JD and Stein Y, 1985, Clin Chem, 31, 1121-6 , Variability of plasma lipids and lipoproteins: the Jerusalem Lipid Research Clinic Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 478 Number of males 478 Number of females | C10,13 |
Cholesterol |
Estimate of Within-subject 8.8
Within-subject calculated CI
8.16
to
9.46
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0050
Friedlander Y, Kark JD and Stein Y, 1985, Clin Chem, 31, 1121-6 , Variability of plasma lipids and lipoproteins: the Jerusalem Lipid Research Clinic Study |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 571 Number of males Number of females 571 | C10,13 |
Cholesterol |
Estimate of Within-subject 8.3
Within-subject calculated CI
5.32
to
12.85
Estimate of Between-subject 17.4 Between-subject calculated CI 10.30 to 43.69 |
ID: 0053
Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8 |
Cholesterol |
Estimate of Within-subject 7.9
Within-subject calculated CI
5.70
to
11.78
Estimate of Between-subject 17.6 Between-subject calculated CI 0.00 to 43.97 |
ID: 0053
Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8 |
Cholesterol |
Estimate of Within-subject 3.7
Within-subject calculated CI
1.08
to
6.22
Estimate of Between-subject 10.2 Between-subject calculated CI 6.12 to 25.47 |
ID: 0053
Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8 |
Cholesterol |
Estimate of Within-subject 2.4
Within-subject calculated CI
0.00
to
6.42
Estimate of Between-subject 19.1 Between-subject calculated CI 11.75 to 47.18 |
ID: 0053
Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8 |
Cholesterol |
Estimate of Within-subject 9.2
Within-subject calculated CI
6.46
to
13.87
Estimate of Between-subject 17.5 Between-subject calculated CI 10.29 to 44.05 |
ID: 0053
Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5 | C8 |
Cholesterol |
Estimate of Within-subject 5.5
Within-subject calculated CI
4.76
to
6.32
Estimate of Between-subject 5.0 Between-subject calculated CI 3.39 to 8.53 |
ID: 0173
Garde AH, Hansen AM, Skovgaard LT and Christensen JM, 2000, Clin Chem, 46, 551-9 , Seasonal and biological variation of blood concentrations of total cholesterol, dehydroepiandrosterone sulfate, hemoglobin A1C, IgA, prolactin and free testosterone in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12 | C10 |
Cholesterol |
Estimate of Within-subject 6.3
Within-subject calculated CI
4.67
to
8.17
Estimate of Between-subject 5.0 Between-subject calculated CI 2.64 to 9.72 |
ID: 0173
Garde AH, Hansen AM, Skovgaard LT and Christensen JM, 2000, Clin Chem, 46, 551-9 , Seasonal and biological variation of blood concentrations of total cholesterol, dehydroepiandrosterone sulfate, hemoglobin A1C, IgA, prolactin and free testosterone in healthy women |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males Number of females 10 | C10 |
Cholesterol |
Estimate of Within-subject 8.7
Within-subject calculated CI
6.91
to
10.06
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0060
Godsland IF, 1985, Ann Clin Biochem, 22, 618-24 , Intra-individual variation: significant changes in parameters of lipid and carbohydrate metabolism in the individual and intra-individual variation in different test populations |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 6 Number of females 4 | C8,10,11,13 |
Cholesterol |
Estimate of Within-subject 4.8
Within-subject calculated CI
4.06
to
5.82
Estimate of Between-subject 19.5 Between-subject calculated CI 14.21 to 30.85 |
ID: 0403
Hammond J, Wentz P, Statland BE, Phillips JC and Winkel P, 1976, Clin Chim Acta, 73, 347-52 , Daily variation of lipids and hormones in sera of healthy subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 8 Number of females 6 | C8,10 |
Cholesterol |
Estimate of Within-subject 6.4
Within-subject calculated CI
5.61
to
7.35
Estimate of Between-subject 18.3 Between-subject calculated CI 13.33 to 28.96 |
ID: 0069
Harris EK, Kanofsky P, Shakarji G and Cotlove E, 1970, Clin Chem, 16, 1022-7 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males Number of females 14 | C8,10,13 |
Cholesterol |
Estimate of Within-subject 6.4
Within-subject calculated CI
5.98
to
6.86
Estimate of Between-subject 13.6 Between-subject calculated CI 11.40 to 16.82 |
ID: 0069
Harris EK, Kanofsky P, Shakarji G and Cotlove E, 1970, Clin Chem, 16, 1022-7 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 54 Number of males 33 Number of females 21 | C8,10,13 |
Cholesterol |
Estimate of Within-subject 6.0
Within-subject calculated CI
5.20
to
6.94
Estimate of Between-subject Between-subject calculated CI to |
ID: 0073
Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 17 Number of males 8 Number of females 9 | C8,13 |
Cholesterol |
Estimate of Within-subject 6.98
Within-subject calculated CI
6.10
to
8.15
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0074
Hölzel WGE, 1988, Clin Chem, 34, 1485-8 , Influence of hypertension and antihypertensive drugs on the biological intra-individual variation of electrolytes and lipids in serum |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 14 Number of males 14 Number of females | C8,13 |
Cholesterol |
Estimate of Within-subject 4.8
Within-subject calculated CI
4.07
to
5.81
Estimate of Between-subject Between-subject calculated CI to |
ID: 0071
Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females 0 | C8,13 |
Cholesterol |
Estimate of Within-subject 7.47
Within-subject calculated CI
6.43
to
8.90
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11 | C8,13 |
Cholesterol |
Estimate of Within-subject 4.79
Within-subject calculated CI
4.06
to
5.79
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0074
Hölzel WGE, 1988, Clin Chem, 34, 1485-8 , Influence of hypertension and antihypertensive drugs on the biological intra-individual variation of electrolytes and lipids in serum |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females | C8,13 |
Cholesterol |
Estimate of Within-subject 4.69
Within-subject calculated CI
3.98
to
5.67
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females | C8,13 |
Cholesterol |
Estimate of Within-subject 4.4
Within-subject calculated CI
3.81
to
5.17
Estimate of Between-subject Between-subject calculated CI to |
ID: 0071
Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 0 Number of females 14 | C8,13 |
Cholesterol |
Estimate of Within-subject 7.17
Within-subject calculated CI
6.32
to
8.28
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 16 Number of males 16 Number of females | C8,13 |
Cholesterol |
Estimate of Within-subject 4.37
Within-subject calculated CI
3.79
to
5.13
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0072
Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males Number of females 14 | C8,13 |
Cholesterol |
Estimate of Within-subject 5.2
Within-subject calculated CI
3.80
to
6.56
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 27 Number of males 27 Number of females | C8,10,11,13 |
Cholesterol |
Estimate of Within-subject 5.0
Within-subject calculated CI
4.48
to
5.55
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 128 Number of males 69 Number of females 59 | C8,10,11,13 |
Cholesterol |
Estimate of Within-subject 5.2
Within-subject calculated CI
4.19
to
6.25
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 42 Number of males 42 Number of females | C8,10,11,13 |
Cholesterol |
Estimate of Within-subject 4.6
Within-subject calculated CI
3.27
to
5.75
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 31 Number of males Number of females 31 | C8,10,11,13 |
Cholesterol |
Estimate of Within-subject 5.9
Within-subject calculated CI
4.56
to
7.37
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0093
Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic |
State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 28 Number of males Number of females 28 | C8,10,11,13 |
Cholesterol |
Estimate of Within-subject 5.2
Within-subject calculated CI
4.63
to
5.88
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0094
Kafonek SD, Donovan L, Lovejoy KL and Bachorik PS, 1996, Clin Chem, 42, 2002-7 , Biological variation of lipids and lipoproteins in fingerstick blood |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 83 Number of males 17 Number of females 66 | C8,10,11,13 |
Cholesterol |
Estimate of Within-subject 5.1
Within-subject calculated CI
4.54
to
5.77
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0094
Kafonek SD, Donovan L, Lovejoy KL and Bachorik PS, 1996, Clin Chem, 42, 2002-7 , Biological variation of lipids and lipoproteins in fingerstick blood |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 83 Number of males 17 Number of females 66 | C8,10,11,13 |
Cholesterol |
Estimate of Within-subject 8.2
Within-subject calculated CI
5.45
to
10.26
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0272
Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 2299 Number of males Number of females | C5,7,10,13 |
Cholesterol |
Estimate of Within-subject 6.8
Within-subject calculated CI
6.34
to
7.32
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 408 Number of males 408 Number of females | C5,7,10 |
Cholesterol |
Estimate of Within-subject 6.9
Within-subject calculated CI
6.57
to
7.26
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 835 Number of males Number of females | C5,7,10 |
Cholesterol |
Estimate of Within-subject 6.9
Within-subject calculated CI
6.44
to
7.42
Estimate of Between-subject Between-subject calculated CI to |
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, Natl Health Stat Report , 21, , Biological variation of laboratory analytes based on the 1999–2002 National Health and Nutrition Examination Survey |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 427 Number of males Number of females 427 | C5,7,10 |
Cholesterol |
Estimate of Within-subject 6.3
Within-subject calculated CI
to
Estimate of Between-subject 20.3 Between-subject calculated CI 0.00 to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 2901 Number of males Number of females 2901 | C4,5,6,7,10,12,13 |
Cholesterol |
Estimate of Within-subject 6.4
Within-subject calculated CI
to
Estimate of Between-subject 19.1 Between-subject calculated CI 0.00 to |
ID: 0270
Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1931 Number of males 1931 Number of females | C4,5,6,7,10,12,13 |
Cholesterol |
Estimate of Within-subject 7.0
Within-subject calculated CI
0.00
to
15.31
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0271
Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 6989 Number of males 2698 Number of females 4291 | C4,5,6,7,10,13 |
Cholesterol |
Estimate of Within-subject 3.8
Within-subject calculated CI
3.50
to
4.10
Estimate of Between-subject Between-subject calculated CI to |
ID: 0271
Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 640 Number of males 256 Number of females 384 | C4,5,6,7,10,13 |
Cholesterol |
Estimate of Within-subject 6.2
Within-subject calculated CI
5.37
to
7.12
Estimate of Between-subject 17.9 Between-subject calculated CI 13.35 to 26.94 |
ID: 0514
Marckmann P, Sandström B, Jespersen J., 1992, Atherosclerosis, 96, 235-44 , The variability of and associations between measures of blood coagulation, fibrinolysis and blood lipids |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 17 Number of males 17 Number of females 0 | C8,10,13 |
Cholesterol |
Estimate of Within-subject 6.7
Within-subject calculated CI
5.68
to
8.17
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0104
Marcovina SM, Gaur VP and Albers JJ, 1994, Clin Chem, 40, 574-8 , Biological variability of Cholesterol, Triglyceride, Low- and High-density lipoprotein Cholesterol, Lipoprotein(a), and Apolipoproteins A-I and B |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10 | C8,10,13 |
Cholesterol |
Estimate of Within-subject 6.7
Within-subject calculated CI
4.41
to
8.63
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0107
Mjøs O, Rao S,Bjøru, Henden T, Thelle D,Førde O and Miller N, 1979, Atherosclerosis, 34, 75-81 , A longitudinal study of the biological variability of plasma lipoproteins in healthy young adults |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11 | C8,10,11,13 |
Cholesterol |
Estimate of Within-subject 7.8
Within-subject calculated CI
6.38
to
9.49
Estimate of Between-subject Between-subject calculated CI 0.00 to |
ID: 0107
Mjøs O, Rao S,Bjøru, Henden T, Thelle D,Førde O and Miller N, 1979, Atherosclerosis, 34, 75-81 , A longitudinal study of the biological variability of plasma lipoproteins in healthy young adults |
State Of Wellbeing Healthy (excl pregnant) Number of Subjects 17 Number of males 17 Number of females | C8,10,11,13 |
Cholesterol |
Estimate of Within-subject 7.1
Within-subject calculated CI
4.93
to
8.90
Estimate of Between-subject Between-subject calculated CI 0.00 to |