All Measurands in Database

There are currently 123 measurands in the database, with 1523 data sets
17-a-hydroxyprogesterone level

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There are : 1 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
17-a-hydroxyprogesterone level 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
a-1 antitrypsin

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There are : 1 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
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
a-2 macroglobulin level

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There are : 1 Records

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
Adiponectin

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There are : 4 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
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
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
Adiponectin Estimate of Within-subject
12.2
Within-subject calculated CI
8.02 to 17.72


Estimate of Between-subject
32.6
Between-subject calculated CI
22.14 to 58.14
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
17.9
Within-subject calculated CI
13.73 to 24.55


Estimate of Between-subject
54.3
Between-subject calculated CI
37.30 to 96.25
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
Adrenaline level

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There are : 1 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Adrenaline level 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
Alanine transaminase (ALT)

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There are : 14 Records

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
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
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

Number of females
A1,2,3,4,5,6,7,8,9,10,11,12,13,14
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
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
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
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
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

Number of females
56
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
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
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
0.00 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
C4,8,13
Albumin

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There are : 42 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Albumin Estimate of Within-subject

Within-subject calculated CI
to


Estimate of Between-subject

Between-subject calculated CI
0.00 to
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
2.3
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

Within-subject calculated CI
to


Estimate of Between-subject

Between-subject calculated CI
0.00 to
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

Within-subject calculated CI
to


Estimate of Between-subject

Between-subject calculated CI
0.00 to
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 VariationData 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
2.1
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
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
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
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
C13
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
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 and 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
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
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
C10
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
2.1
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
2.7
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
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: 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
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, National Health Statistics Reports , 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
3.2
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
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
3.4
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
3.2
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
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
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
4.5
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
2.4
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
2.76
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
2.5
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
Aldosterone

View Records

There are : 4 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
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
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
19.0
Within-subject calculated CI
16.45 to 22.10


Estimate of Between-subject
18.4
Between-subject calculated CI
14.40 to 22.68
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
C7,8,10,11,13
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
Alkaline phosphatase (ALP) bone isoenzyme

View Records

There are : 8 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
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
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
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
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
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
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
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), liver type

View Records

There are : 16 Records

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
5.0
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
5.3
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
5.4
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
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
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
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
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
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
Alphafetoprotein level

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There are : 2 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Alphafetoprotein level 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 level 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
Amylase

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There are : 7 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
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
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
6.3
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
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
C8,10,13
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
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
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
Androstenedione level

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There are : 2 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Androstenedione level 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 level 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
Antimullerian hormone level

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There are : 3 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Antimullerian hormone level Estimate of Within-subject

Within-subject calculated CI
to


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0374
Bungum L, TageviJ, Jokubkiene L et al, 2018, Frontiers in Endocrinology, 9, 1-10 , The impact of the biological variability or assay performance on AMH measurements: a prospective cohort study with AMH tested on three analytical assay-platforms
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
26
Number of males
0
Number of females
26
C10,13
Antimullerian hormone level Estimate of Within-subject
19.2
Within-subject calculated CI
17.32 to 21.48


Estimate of Between-subject
20.4
Between-subject calculated CI
15.97 to 27.10
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
Antimullerian hormone level Estimate of Within-subject

Within-subject calculated CI
to


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0379
Kissell KA, Danaher MR, Schisterman EF et al379. Kissell KA, Danaher MR, Schisterman EF et al, 2014, Human Reproduction, 29(8), 1764-72 , Biological variability in sèrum anti-Müllerian hormone throughout the menstrual cycle in pvulatory and sporadic anovulatory cicles in eumenorrheic women
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
259
Number of males
0
Number of females
259
C8,12,13
Apolipoprotein A1 level

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There are : 20 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Apolipoprotein A1 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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
Apolipoprotein A1 level 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 B

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There are : 16 Records

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
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
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
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
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
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
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

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
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
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
Aspartate transaminase (AST)

View Records

There are : 16 Records

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
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
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
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
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
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
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
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
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
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
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
12
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
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
C4,5,8,10,13
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
C4,8,13
b-2 microglobulin level

View Records

There are : 2 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
b-2 microglobulin level 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 VariationData 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 level 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
Basophils

View Records

There are : 18 Records

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
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
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
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
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
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
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
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

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

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
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

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

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
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
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
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
Calcium level

View Records

There are : 6 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Calcium level 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 level 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 level 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 level 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 level 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 level 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
Cancer antigen 125 (CA-125)

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There are : 3 Records

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
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
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
Cancer antigen 15-3 (CA 15.3)

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There are : 2 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
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
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
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
Cancer antigen 19-9 (CA 19-9)

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There are : 4 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
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
Cancer antigen 72-4 (CA 72-4)

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There are : 2 Records

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, 2017, J Clin Lab Anal, , , 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
Carcinoembryonic antigen (CEA)

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There are : 9 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
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
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
Chloride

View Records

There are : 31 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
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
0.96
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
0.98
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
0.8
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
1.3
Within-subject calculated CI
1.21 to 1.40


Estimate of Between-subject
1.0
Between-subject calculated CI
0.82 to 1.24
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
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
1.1
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 and 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
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
1.21
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
1.16
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
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
1.15
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
1.2
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
1.6
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, National Health Statistics Reports , 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
1.1
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
C5,7,10
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
C5,7,10
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
C5,7,10,12
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
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
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
Cholesterol level

View Records

There are : 95 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Cholesterol level 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 level 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 level 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 level 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 level 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
0.00 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
C8,12
Cholesterol level 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
C8,12
Cholesterol level 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
0.00 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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
Cholesterol level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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
C8,10,12
Cholesterol level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level 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 level Estimate of Within-subject
7.5
Within-subject calculated CI
6.86 to 8.09


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
1727
Number of males
691
Number of females
1036
C4,5,6,7,10,13
Cholesterol level Estimate of Within-subject
8.1
Within-subject calculated CI
7.66 to 8.59


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
640
Number of males
256
Number of females
384
C4,5,6,7,10,13
Cholesterol level 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 level 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 level 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 level 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
ID: 0108
Mogadam M, Ahmed S, Mensch A and Godwin I, 1990, Arch Intern Med, 150, 1645-8 , Within-person fluctuations of serum cholesterol and lipoproteins
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
20
Number of males
3
Number of females
17
C8,10,13
Cholesterol level Estimate of Within-subject
8.2
Within-subject calculated CI
6.02 to 9.67


Estimate of Between-subject
15.8
Between-subject calculated CI
13.07 to 19.68
ID: 0268
Nunes LA, Brenzikofer R and Vaz de Macedo D, 2010, Eur J Appl Physiol, 110, 191-8 , Reference change values of blood analytes from physically active subjects
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
56
Number of males
56
Number of females
0
B6,7
Cholesterol level Estimate of Within-subject
7.0
Within-subject calculated CI
6.42 to 7.70


Estimate of Between-subject
15.4
Between-subject calculated CI
11.90 to 21.70
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
Cholesterol level Estimate of Within-subject
3.6
Within-subject calculated CI
2.93 to 4.64


Estimate of Between-subject
15.1
Between-subject calculated CI
10.48 to 26.60
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
Cholesterol level Estimate of Within-subject
8.9
Within-subject calculated CI
8.02 to 9.91


Estimate of Between-subject
15.2
Between-subject calculated CI
12.83 to 18.44
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
Cholesterol level Estimate of Within-subject
6.1
Within-subject calculated CI
5.28 to 6.92


Estimate of Between-subject
14.8
Between-subject calculated CI
12.47 to 18.10
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
62
Number of males

Number of females
62
C8
Cholesterol level Estimate of Within-subject
9.7
Within-subject calculated CI
8.72 to 10.85


Estimate of Between-subject
16.3
Between-subject calculated CI
13.64 to 20.00
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
Cholesterol level Estimate of Within-subject
5.5
Within-subject calculated CI
4.62 to 6.31


Estimate of Between-subject
15.8
Between-subject calculated CI
13.24 to 19.50
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
56
Number of males
56
Number of females
C8
Cholesterol level Estimate of Within-subject
4.4
Within-subject calculated CI
3.74 to 5.10


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
Cholesterol level Estimate of Within-subject
14.2
Within-subject calculated CI
10.67 to 21.03


Estimate of Between-subject
22.9
Between-subject calculated CI
14.28 to 43.63
ID: 0290
Rizi EP, Baig S, Toh SA and Khoo CM, 2016, Pathology , 48, 510-2 , Biological variation of glucose, insulin and lípids in lean, insulin-sensitie and obese, insulin-resistant chinese males without diabetis
State Of Wellbeing
Non-healthy (excl pregnant)
Number of Subjects
9
Number of males
9
Number of females
C10,13
Cholesterol level Estimate of Within-subject
10.6
Within-subject calculated CI
7.44 to 15.72


Estimate of Between-subject
15.6
Between-subject calculated CI
9.45 to 29.97
ID: 0290
Rizi EP, Baig S, Toh SA and Khoo CM, 2016, Pathology , 48, 510-2 , Biological variation of glucose, insulin and lípids in lean, insulin-sensitie and obese, insulin-resistant chinese males without diabetis
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
9
Number of males
9
Number of females
C10,13
Cholesterol level Estimate of Within-subject
8.8
Within-subject calculated CI
7.98 to 9.81


Estimate of Between-subject
19.8
Between-subject calculated CI
15.47 to 27.29
ID: 0331
Sakkinen PA, Macy EM, Callas PW, Cornell ES, Hayes TE, Kuller LH and Tracy RP, 1999, Am J Epidem, 149, 261-7 , Analytical and biologic variability in measures of hemostasis, fibrinolysis and inflammation: assesment and implications for epidemiology
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
26
Number of males
10
Number of females
16
B7,9
Cholesterol level Estimate of Within-subject
4.7
Within-subject calculated CI
3.80 to 5.56


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0148
Schectman G, Patsches M and Sasse EA, 1996, Clin Chem, 42, 732-7 , Variability in cholesterol measuraments: comparison of calculated and direct LDL cholesterol determinations
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
35
Number of males
35
Number of females
C8,10,12,13
Cholesterol level Estimate of Within-subject
4.8
Within-subject calculated CI
to


Estimate of Between-subject
19.5
Between-subject calculated CI
0.00 to
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
Cholesterol level Estimate of Within-subject
6.8
Within-subject calculated CI
5.63 to 8.51


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
51
Number of males

Number of females
C10
Cholesterol level Estimate of Within-subject

Within-subject calculated CI
to


Estimate of Between-subject
20.04
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
786
Number of males

Number of females
C10
Cholesterol level Estimate of Within-subject
6.22
Within-subject calculated CI
5.41 to 7.18


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0163
Warnick GR, Albers JJ, 1976, Lipids, 11, 203-8 , Physiological and analytical variation in cholesterol and triglycerides
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
11
Number of males
4
Number of females
7
C8,10,11,13
Cholesterol level Estimate of Within-subject
5.42
Within-subject calculated CI
4.47 to 6.40


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0163
Warnick GR, Albers JJ, 1976, Lipids, 11, 203-8 , Physiological and analytical variation in cholesterol and triglycerides
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
11
Number of males
4
Number of females
7
C8,10,11,13
Cholesterol level Estimate of Within-subject
2.4
Within-subject calculated CI
1.17 to 3.12


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
Cholesterol level Estimate of Within-subject
4.2
Within-subject calculated CI
3.08 to 5.58


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
Cholesterol level Estimate of Within-subject
7.9
Within-subject calculated CI
0.00 to 18.87


Estimate of Between-subject
17.8
Between-subject calculated CI
14.90 to 20.31
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
Cholesterol level Estimate of Within-subject
11.4
Within-subject calculated CI
to


Estimate of Between-subject

Between-subject calculated CI
0.00 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
Cholesterol level Estimate of Within-subject
7.1
Within-subject calculated CI
6.27 to 8.15


Estimate of Between-subject
16.0
Between-subject calculated CI
12.41 to 22.26
ID: 0260
Wu AHB, Ruan W, Todd J and Lynch KL, 2014, Clinica Chimica Acta, 430, 43-7 , Biological variation of β-sitosterol, campesterol, and lathosterol as cholesterol absorption and synthesis biomarkers.
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
25
Number of males
10
Number of females
15
C8,10,12
Cholesterol level Estimate of Within-subject
4.19
Within-subject calculated CI
3.62 to 4.96


Estimate of Between-subject
13.9
Between-subject calculated CI
9.51 to 25.46
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
Chromogranin A level

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There are : 4 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Chromogranin A level Estimate of Within-subject
16.3
Within-subject calculated CI
13.22 to 21.22


Estimate of Between-subject
34.3
Between-subject calculated CI
0.00 to 57.62
ID: 0351
Braga F, Ferraro S, Mozzi R, Dolci A, Panteghini M, 2013, Clinical Biochemistry, 46, 148-51 , Biological variation of neuroendocrine tumor markers chromogranin A and neuron-specific enolase.
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
12
Number of males
12
Number of females
0
B7
Chromogranin A level Estimate of Within-subject
16.3
Within-subject calculated CI
13.90 to 19.68


Estimate of Between-subject
33.5
Between-subject calculated CI
25.36 to 48.11
ID: 0351
Braga F, Ferraro S, Mozzi R, Dolci A, Panteghini M, 2013, Clinical Biochemistry, 46, 148-51 , Biological variation of neuroendocrine tumor markers chromogranin A and neuron-specific enolase.
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
22
Number of males
10
Number of females
12
B7
Chromogranin A level Estimate of Within-subject
16.0
Within-subject calculated CI
12.75 to 21.44


Estimate of Between-subject
26.1
Between-subject calculated CI
17.20 to 47.23
ID: 0351
Braga F, Ferraro S, Mozzi R, Dolci A, Panteghini M, 2013, Clinical Biochemistry, 46, 148-51 , Biological variation of neuroendocrine tumor markers chromogranin A and neuron-specific enolase.
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
10
Number of males
10
Number of females
0
B7
Chromogranin A level Estimate of Within-subject
12.8
Within-subject calculated CI
11.12 to 15.06


Estimate of Between-subject
26.3
Between-subject calculated CI
19.99 to 37.67
ID: 0208
Dittadi R, Meo S, Gion M, 2004, Clin Chem Lab Med, 42, 109-110 , Biological variation of plasma chromogranin A.
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
22
Number of males
10
Number of females
12
C8,10,12,13
Complement 3 (C3)

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There are : 2 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Complement 3 (C3) Estimate of Within-subject
4.8
Within-subject calculated CI
0.00 to 6.47


Estimate of Between-subject
12.1
Between-subject calculated CI
8.65 to 19.37
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
Complement 3 (C3) Estimate of Within-subject
3.8
Within-subject calculated CI
0.00 to 6.20


Estimate of Between-subject
19.7
Between-subject calculated CI
14.31 to 31.23
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
Complement 4 (C4)

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There are : 2 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Complement 4 (C4) Estimate of Within-subject
5.5
Within-subject calculated CI
0.00 to 8.37


Estimate of Between-subject
28.1
Between-subject calculated CI
20.40 to 44.55
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
Complement 4 (C4) Estimate of Within-subject
5.9
Within-subject calculated CI
0.00 to 8.18


Estimate of Between-subject
35.6
Between-subject calculated CI
25.97 to 56.28
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
Cortisol

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There are : 5 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Cortisol Estimate of Within-subject
32.1
Within-subject calculated CI
0.00 to 48.65


Estimate of Between-subject
38.1
Between-subject calculated CI
19.67 to 60.80
ID: 0432
Casals G, Foj L, Martínez de Osaba MJ, 2011, Clin Biochem, 44, 665-8 , Day-to-day variation of late-night salivary cortisol in healthy voluntaries
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
20
Number of males
7
Number of females
13
C4,7,11,13
Cortisol Estimate of Within-subject
30.9
Within-subject calculated CI
23.86 to 38.69


Estimate of Between-subject
31.3
Between-subject calculated CI
20.72 to 49.49
ID: 0429
Dittadi R, Damiani AF and Olcese C, 2018, Clin Chem Lab Med, 55(12), e285-e287 , Evaluation of serum cortisol biological variation in the evening withdrawal
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
18
Number of males
7
Number of females
11
C7
Cortisol Estimate of Within-subject
26.6
Within-subject calculated CI
22.34 to 32.40


Estimate of Between-subject
53.1
Between-subject calculated CI
38.05 to 84.88
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
C8,10,12
Cortisol Estimate of Within-subject
21.7
Within-subject calculated CI
19.87 to 23.78


Estimate of Between-subject
46.2
Between-subject calculated CI
36.16 to 63.60
ID: 0240
Maes M, Mommen K, Hendrickx D, Peeters D, D’Hondt P, Ranjan R, De Meyer F and Scharpé S, 1997, Clin Endocrinol, 46, 587-98 , Components of biological variation, including seasonality, in blood concentrations of TSH, TT3, FT4, PRL, cortisol and testosterone in healthy volunteers
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
26
Number of males
13
Number of females
13
C7,8,10,13
Cortisol Estimate of Within-subject
15.2
Within-subject calculated CI
13.15 to 17.93


Estimate of Between-subject
38.1
Between-subject calculated CI
27.85 to 59.37
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
15
Number of males
6
Number of females
9
C4,8,10
Creatine Kinase

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There are : 7 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Creatine Kinase Estimate of Within-subject
4.1
Within-subject calculated CI
0.00 to 5.87


Estimate of Between-subject
43.4
Between-subject calculated CI
34.39 to 58.76
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
Creatine Kinase Estimate of Within-subject
14.5
Within-subject calculated CI
13.76 to 15.33


Estimate of Between-subject
37.9
Between-subject calculated CI
32.84 to 44.75
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
84
Number of males
35
Number of females
49
A1,2,3,4,5,6,7,8,9,10,11,12,13,14
Creatine Kinase Estimate of Within-subject
15.7
Within-subject calculated CI
14.67 to 16.88


Estimate of Between-subject
30.5
Between-subject calculated CI
25.31 to 38.20
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
49
Number of males

Number of females
49
A1,2,3,4,5,6,7,8,9,10,11,12,13,14
Creatine Kinase Estimate of Within-subject
16.0
Within-subject calculated CI
14.77 to 17.45


Estimate of Between-subject
31.5
Between-subject calculated CI
25.35 to 41.33
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
35
Number of males
35
Number of females
A1,2,3,4,5,6,7,8,9,10,11,12,13,14
Creatine Kinase Estimate of Within-subject
25.7
Within-subject calculated CI
to


Estimate of Between-subject
46.0
Between-subject calculated CI
0.00 to
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
C4,8,10,12,13
Creatine Kinase Estimate of Within-subject
12.6
Within-subject calculated CI
0.00 to 18.82


Estimate of Between-subject
11.8
Between-subject calculated CI
8.06 to 14.98
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
811
Number of males
436
Number of females
375
C4,5,8,10,13
Creatine Kinase Estimate of Within-subject
29.5
Within-subject calculated CI
25.01 to 35.99


Estimate of Between-subject

Between-subject calculated CI
0.00 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
Creatinine

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There are : 57 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Creatinine Estimate of Within-subject
6.4
Within-subject calculated CI
5.00 to 8.70


Estimate of Between-subject
28.4
Between-subject calculated CI
22.52 to 38.19
ID: 0216
Andersen TB, Erlandsen EJ, FrokiaerJ, Eskild-Jensen A and Brochner-Mortensen J, 2010, Scand J Clin Lab Invest, , , Comparison of within- and between-subject variation of serum cystatin C and serum creatinine in children aged 2-13 years
State Of Wellbeing
Non-healthy (excl pregnant)
Number of Subjects
30
Number of males
19
Number of females
11
C8,10,13
Creatinine Estimate of Within-subject

Within-subject calculated CI
to


Estimate of Between-subject
15.7
Between-subject calculated CI
0.00 to 0.00
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
13
Number of females
16
C10,12
Creatinine Estimate of Within-subject

Within-subject calculated CI
to


Estimate of Between-subject
23.3
Between-subject calculated CI
0.00 to 0.00
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
13
Number of females
16
C10,12
Creatinine Estimate of Within-subject

Within-subject calculated CI
to


Estimate of Between-subject
11.0
Between-subject calculated CI
0.00 to 0.00
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
13
Number of females
16
C10,12
Creatinine Estimate of Within-subject
4.2
Within-subject calculated CI
0.00 to 9.56


Estimate of Between-subject
4.1
Between-subject calculated CI
0.00 to 29.11
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
Creatinine Estimate of Within-subject
6.1
Within-subject calculated CI
5.02 to 7.68


Estimate of Between-subject
17.4
Between-subject calculated CI
12.01 to 30.76
ID: 0203
Bandaranayake N, Ankrah-Tetteh T, Wijeratne S and Swaminathan R, 2007, Clin Chem Lab Med, 45, 1237-9 , Intraindividual variation in creatinine and cystatin C
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
10
Number of males
4
Number of females
6
C8,10,13
Creatinine Estimate of Within-subject
11.8
Within-subject calculated CI
10.87 to 12.69


Estimate of Between-subject
14.7
Between-subject calculated CI
11.08 to 21.60
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
Creatinine Estimate of Within-subject
8.5
Within-subject calculated CI
to


Estimate of Between-subject
24.7
Between-subject calculated CI
0.00 to
ID: 0267
Biosca C, Ricós C, Lauzurica R and Petersen PH, 2006, Clin Chim Acta, 368, 188-191 , Biological variation at long-term renal post-transplantation
State Of Wellbeing
Non-healthy (excl pregnant)
Number of Subjects
40
Number of males
26
Number of females
14
C10,12
Creatinine Estimate of Within-subject
8.0
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
Creatinine Estimate of Within-subject
7.8
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
Creatinine Estimate of Within-subject
3.8
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
Creatinine Estimate of Within-subject
4.7
Within-subject calculated CI
4.35 to 5.07


Estimate of Between-subject
19.0
Between-subject calculated CI
16.57 to 22.25
ID: 0333
Carobene A, Marino I, Coskun A, Serteser M, Unsai I, Guerra E, Barlett WA, Sandberg S, Aarsand AK, Sylte MS, Roraas T, Solvik UO, Fernández-Calle P, Diaz-Garzón J, Tosato F, Plebani M, Jonker N, Barla G and Ceriotti F, 2017, Clin Chem, 63, 1527-36 , The EuBIVAS Project: Within- and between-subject biological variation data for serum creatinine using enzymatic and alkaline picrate methods and implications for monitoring
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
Creatinine Estimate of Within-subject
4.4
Within-subject calculated CI
4.18 to 4.64


Estimate of Between-subject
17.1
Between-subject calculated CI
14.92 to 20.02
ID: 0333
Carobene A, Marino I, Coskun A, Serteser M, Unsai I, Guerra E, Barlett WA, Sandberg S, Aarsand AK, Sylte MS, Roraas T, Solvik UO, Fernández-Calle P, Diaz-Garzón J, Tosato F, Plebani M, Jonker N, Barla G and Ceriotti F, 2017, Clin Chem, 63, 1527-36 , The EuBIVAS Project: Within- and between-subject biological variation data for serum creatinine using enzymatic and alkaline picrate methods and implications for monitoring
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
Creatinine Estimate of Within-subject
5.7
Within-subject calculated CI
5.33 to 6.13


Estimate of Between-subject
51.3
Between-subject calculated CI
44.42 to 60.71
ID: 0283
Carter JL, Parker CT, Stevens PE, Eaglestone G, Knight S, Farmer CT and Lamb EJ, 2016, Clin Chem, 62, 876-83 , Biological variation of plasma and unrinary markers of acute kidney injury in patients with chronic kidney disease
State Of Wellbeing
Non-healthy (excl pregnant)
Number of Subjects
80
Number of males
47
Number of females
33
B7,13
Creatinine Estimate of Within-subject
5.4
Within-subject calculated CI
4.53 to 6.57


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
Creatinine Estimate of Within-subject
5.7
Within-subject calculated CI
5.47 to 5.94


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
Creatinine Estimate of Within-subject
5.8
Within-subject calculated CI
4.13 to 9.62


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0223
Delanaye P, Cavalier E, Depas G, Chapelle JP and Krzesinski JM, 2008, Nephron Clin Pract, 108, 246-8 , New data on the intraindividual variation of cystatin C
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
13
Number of males
7
Number of females
6
C8,10,13
Creatinine Estimate of Within-subject
5.0
Within-subject calculated CI
3.21 to 8.68


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0223
Delanaye P, Cavalier E, Depas G, Chapelle JP and Krzesinski JM, 2008, Nephron Clin Pract, 108, 246-8 , New data on the intraindividual variation of cystatin C
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
13
Number of males
7
Number of females
6
C8,10,13
Creatinine Estimate of Within-subject
4.3
Within-subject calculated CI
3.33 to 5.64


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
Creatinine Estimate of Within-subject
4.2
Within-subject calculated CI
3.14 to 5.40


Estimate of Between-subject
9.5
Between-subject calculated CI
7.59 to 12.40
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
C13
Creatinine Estimate of Within-subject
13.4
Within-subject calculated CI
12.63 to 14.25


Estimate of Between-subject
15.3
Between-subject calculated CI
11.59 to 22.24
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
Creatinine Estimate of Within-subject
6.4
Within-subject calculated CI
5.64 to 7.38


Estimate of Between-subject
61.5
Between-subject calculated CI
42.28 to 112.31
ID: 0046
Fraser CG and 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
Creatinine Estimate of Within-subject
4.3
Within-subject calculated CI
3.86 to 4.81


Estimate of Between-subject
18.3
Between-subject calculated CI
14.44 to 24.95
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
Creatinine Estimate of Within-subject
8.4
Within-subject calculated CI
6.24 to 12.35


Estimate of Between-subject
6.2
Between-subject calculated CI
1.32 to 17.50
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
C10
Creatinine Estimate of Within-subject
6.02
Within-subject calculated CI
4.91 to 7.68


Estimate of Between-subject
16.28
Between-subject calculated CI
11.83 to 25.46
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
Creatinine Estimate of Within-subject
4.1
Within-subject calculated CI
3.46 to 4.84


Estimate of Between-subject
14.1
Between-subject calculated CI
10.37 to 21.89
ID: 0065
Gowans EMS, Fraser CG, 1988, Ann Clin Biochem, 25, 259-63 , Biological variation of serum and urine creatinine and creatinine clearance: ramifications for interpretation of results and patient care
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
15
Number of males
8
Number of females
7
C10,13
Creatinine Estimate of Within-subject
2.81
Within-subject calculated CI
2.09 to 3.57


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
Creatinine Estimate of Within-subject
2.64
Within-subject calculated CI
1.75 to 3.54


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
Creatinine Estimate of Within-subject
4.9
Within-subject calculated CI
4.18 to 5.80


Estimate of Between-subject
18.2
Between-subject calculated CI
13.00 to 30.13
ID: 0285
Keevil BG, Kilpatrick ES, Nichols SP and Maylor PW, 1998, Clin Chem, 44, 1535-9 , Biological variation of cystatin C: implications for the assesment of glomerular filtration rate
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
12
Number of males
7
Number of females
5
C8,10,13
Creatinine Estimate of Within-subject
6.7
Within-subject calculated CI
6.11 to 7.25


Estimate of Between-subject
27.6
Between-subject calculated CI
26.27 to 29.06
ID: 0265
Lacher DA, Hughes JP and Carroll MD, 2010, National Health Statistics Reports , 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
Creatinine Estimate of Within-subject
7.5
Within-subject calculated CI
to


Estimate of Between-subject
19.6
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
1860
Number of males
1860
Number of females
C5,7,10
Creatinine Estimate of Within-subject
7.6
Within-subject calculated CI
to


Estimate of Between-subject
21.4
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
2856
Number of males

Number of females
2856
C5,7,10
Creatinine Estimate of Within-subject
3.8
Within-subject calculated CI
0.00 to 10.07


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
C5,7,10,12
Creatinine Estimate of Within-subject
4.1
Within-subject calculated CI
3.40 to 4.81


Estimate of Between-subject
14.4
Between-subject calculated CI
11.36 to 19.56
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
Creatinine Estimate of Within-subject
5.0
Within-subject calculated CI
4.43 to 5.66


Estimate of Between-subject
19.6
Between-subject calculated CI
16.95 to 23.19
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
Creatinine Estimate of Within-subject
6.3
Within-subject calculated CI
0.00 to 49.34


Estimate of Between-subject
14.3
Between-subject calculated CI
0.00 to 96.28
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
Creatinine Estimate of Within-subject
8.5
Within-subject calculated CI
6.87 to 9.84


Estimate of Between-subject
11.9
Between-subject calculated CI
9.69 to 14.99
ID: 0268
Nunes LA, Brenzikofer R and Vaz de Macedo D, 2010, Eur J Appl Physiol, 110, 191-8 , Reference change values of blood analytes from physically active subjects
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
56
Number of males
56
Number of females
B6,7
Creatinine Estimate of Within-subject
5.0
Within-subject calculated CI
4.17 to 5.72


Estimate of Between-subject
13.5
Between-subject calculated CI
11.42 to 16.43
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
Creatinine Estimate of Within-subject
7.0
Within-subject calculated CI
6.18 to 7.89


Estimate of Between-subject
16.6
Between-subject calculated CI
14.02 to 20.23
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
Creatinine Estimate of Within-subject
7.1
Within-subject calculated CI
6.32 to 7.95


Estimate of Between-subject
18.2
Between-subject calculated CI
15.51 to 21.92
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
Creatinine Estimate of Within-subject
4.9
Within-subject calculated CI
4.12 to 5.58


Estimate of Between-subject
12.8
Between-subject calculated CI
10.90 to 15.42
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
Creatinine Estimate of Within-subject
3.2
Within-subject calculated CI
2.73 to 3.83


Estimate of Between-subject
3.4
Between-subject calculated CI
2.41 to 5.10
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
21
Number of males
21
Number of females
C8,10,13
Creatinine Estimate of Within-subject
5.2
Within-subject calculated CI
4.45 to 6.22


Estimate of Between-subject
6.4
Between-subject calculated CI
4.60 to 9.68
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
Creatinine Estimate of Within-subject
4.3
Within-subject calculated CI
3.84 to 4.86


Estimate of Between-subject
14.0
Between-subject calculated CI
11.44 to 17.98
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
Creatinine Estimate of Within-subject
4.7
Within-subject calculated CI
4.18 to 5.36


Estimate of Between-subject
14.4
Between-subject calculated CI
10.96 to 20.87
ID: 0221
Reinhard M, Erlandsen EJ and Randers E, 2009, Scand J Clin Lab Invest, 69, 831-6 , Biological variation of cystatin C and creatinine
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
20
Number of males
7
Number of females
13
C7,10
Creatinine Estimate of Within-subject
8.9
Within-subject calculated CI
7.93 to 10.13


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0221
Reinhard M, Erlandsen EJ and Randers E, 2009, Scand J Clin Lab Invest, 69, 831-6 , Biological variation of cystatin C and creatinine
State Of Wellbeing
Non-healthy (excl pregnant)
Number of Subjects
19
Number of males
11
Number of females
8
C7,10
Creatinine Estimate of Within-subject
7.1
Within-subject calculated CI
0.00 to 10.66


Estimate of Between-subject
18.2
Between-subject calculated CI
13.76 to 25.72
ID: 0310
Rivara MB, Zelnick LR, Hoofnagle AN, Newitt R, Tracy RP, Kratz M, Weigle DS and Kestenbaum BR, 2017, Clin Chem, 63, 915-23 , Diurnal and long-term variation in plasma concentrations and renal clearances of circulating markers of kidney proximal tubular secretion
State Of Wellbeing
Non-healthy (excl pregnant)
Number of Subjects
33
Number of males

Number of females
B2,6
Creatinine Estimate of Within-subject
7.9
Within-subject calculated CI
5.78 to 10.57


Estimate of Between-subject

Between-subject calculated CI
to
ID: 0143
Rosano TG and Brown HH, 1982, Clin Chem, 28, 2330-1 , Analytical and biological variability of serum creatinine and creatinine clearance: implications for clinical interpretation
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
2
Number of males
2
Number of females
C8,10,11
Creatinine Estimate of Within-subject
13.0
Within-subject calculated CI
12.03 to 14.14


Estimate of Between-subject
36.0
Between-subject calculated CI
29.31 to 46.53
ID: 0282
Sambasivan AS, Lepage N and Filler G, 2005, Clin Chem, 51, 2215-6 , Cystatin C intrapatient variability in children with chronic kidney disease is less than serum creatinine
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
38
Number of males
19
Number of females
19
C6,8,10,12,13
Creatinine Estimate of Within-subject
7.6
Within-subject calculated CI
7.00 to 8.26


Estimate of Between-subject

Between-subject calculated CI
0.00 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
Creatinine Estimate of Within-subject
5.4
Within-subject calculated CI
3.93 to 7.91


Estimate of Between-subject
33.2
Between-subject calculated CI
23.40 to 56.55
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
Creatinine Estimate of Within-subject
7.3
Within-subject calculated CI
5.86 to 9.35


Estimate of Between-subject
39.2
Between-subject calculated CI
32.60 to 49.02
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
49
Number of males
18
Number of females
31
C10
Creatinine Estimate of Within-subject
6.2
Within-subject calculated CI
to


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0224
Toffaletti JG, McDonnell EH, 2008, Clinica Chimica Acta, 395, 115-9 , Variation of serum creatinine, cystatin C and creatinine clearance tests in persons with normal renal function
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
15
Number of males
15
Number of females
C6,8,10,11,12,13
Creatinine Estimate of Within-subject
5.8
Within-subject calculated CI
to


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0224
Toffaletti JG, McDonnell EH, 2008, Clinica Chimica Acta, 395, 115-9 , Variation of serum creatinine, cystatin C and creatinine clearance tests in persons with normal renal function
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
30
Number of males
15
Number of females
15
C6,8,10,11,12,13
Creatinine Estimate of Within-subject
1.19
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
C8,10,12,13
Creatinine Estimate of Within-subject
3.7
Within-subject calculated CI
to


Estimate of Between-subject
9.5
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
Creatinine Estimate of Within-subject
4.38
Within-subject calculated CI
3.59 to 5.37


Estimate of Between-subject
7.04
Between-subject calculated CI
4.70 to 13.07
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
C-terminal cross-linked telopeptide of type I collagen (CTX)

View Records

There are : 10 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
C-terminal cross-linked telopeptide of type I collagen (CTX) Estimate of Within-subject
25.6
Within-subject calculated CI
21.09 to 32.42


Estimate of Between-subject
36.3
Between-subject calculated CI
25.18 to 58.22
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
15
Number of males

Number of females
15
C8,10,12
C-terminal cross-linked telopeptide of type I collagen (CTX) Estimate of Within-subject
24.4
Within-subject calculated CI
20.08 to 30.92


Estimate of Between-subject
59.3
Between-subject calculated CI
42.96 to 92.93
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
C-terminal cross-linked telopeptide of type I collagen (CTX) Estimate of Within-subject
9.3
Within-subject calculated CI
6.44 to 12.76


Estimate of Between-subject
38.9
Between-subject calculated CI
28.47 to 60.57
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
15
Number of males

Number of females
15
C8,10,12
C-terminal cross-linked telopeptide of type I collagen (CTX) Estimate of Within-subject
12.4
Within-subject calculated CI
to


Estimate of Between-subject
23.6
Between-subject calculated CI
16.82 to
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
C-terminal cross-linked telopeptide of type I collagen (CTX) Estimate of Within-subject
6.6
Within-subject calculated CI
4.57 to 10.00


Estimate of Between-subject
30.6
Between-subject calculated CI
18.93 to 75.39
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
C-terminal cross-linked telopeptide of type I collagen (CTX) Estimate of Within-subject
19.1
Within-subject calculated CI
15.81 to 24.13


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0442
Clowes JA, Hannon RA, Yap TS et al, 2002, Bone, 30(6), 886-90 , Effect of feeding on bone turnover markers and its impact on biological variability of measurements
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
20
Number of males

Number of females
20
C7,8,10,12,13
C-terminal cross-linked telopeptide of type I collagen (CTX) Estimate of Within-subject
22.6
Within-subject calculated CI
18.46 to 28.84


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0442
Clowes JA, Hannon RA, Yap TS et al, 2002, Bone, 30(6), 886-90 , Effect of feeding on bone turnover markers and its impact on biological variability of measurements
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
20
Number of males

Number of females
20
C7,8,10,12,13
C-terminal cross-linked telopeptide of type I collagen (CTX) Estimate of Within-subject
18.0
Within-subject calculated CI
to


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0454
Garnero P, Mullerman D, Munoz F et al, 2003, J Bone Min Res, 18(10), 1789-94 , Long-Term Variability of Markers of Bone Turnover in Postmenopausal Women and Implications for Their Clinical Use: The OFELY Study
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
268
Number of males

Number of females
268
C6,7,8,10,11,13
C-terminal cross-linked telopeptide of type I collagen (CTX) Estimate of Within-subject
12.8
Within-subject calculated CI
9.14 to 15.65


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0218
Nguyen TV, Nelson AE, Howe CJ, Seibel MJ, Baxter RC, Handelsman DJ, Kazlauskas R and Ho KK, 2008, Clin Chem, 54, 1268-76 , Within-subject variability and analyticaI imprecision of Insulinlike growth factor axis and collagen markers: implications for clinical diagnosis and doping tests
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
1103
Number of males
699
Number of females
404
C8,13
C-terminal cross-linked telopeptide of type I collagen (CTX) Estimate of Within-subject
6.9
Within-subject calculated CI
5.88 to 8.23


Estimate of Between-subject
28.8
Between-subject calculated CI
20.05 to 50.65
ID: 0156
Stevenson HP, Leslie H, Sheridan B, 1997, Ann Clin Biochem, 34, 317-8 , Intra-individual variation in serum type I procollagen carboxy-terminal propeptide and type I collagen carboxy-terminal cross-linked telopeptide concentrations
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
10
Number of males
6
Number of females
4
C3,7,8,10,13
Cystatin C

View Records

There are : 12 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Cystatin C Estimate of Within-subject
6.4
Within-subject calculated CI
5.06 to 8.62


Estimate of Between-subject
11.1
Between-subject calculated CI
8.29 to 15.39
ID: 0216
Andersen TB, Erlandsen EJ, FrokiaerJ, Eskild-Jensen A and Brochner-Mortensen J, 2010, Scand J Clin Lab Invest, , , Comparison of within- and between-subject variation of serum cystatin C and serum creatinine in children aged 2-13 years
State Of Wellbeing
Non-healthy (excl pregnant)
Number of Subjects
30
Number of males
19
Number of females
11
C8,10,13
Cystatin C Estimate of Within-subject
4.5
Within-subject calculated CI
3.62 to 5.75


Estimate of Between-subject
13.0
Between-subject calculated CI
8.97 to 22.99
ID: 0203
Bandaranayake N, Ankrah-Tetteh T, Wijeratne S and Swaminathan R, 2007, Clin Chem Lab Med, 45, 1237-9 , Intraindividual variation in creatinine and cystatin C
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
10
Number of males
4
Number of females
6
C8,10,13
Cystatin C Estimate of Within-subject
3.9
Within-subject calculated CI
3.67 to 4.15


Estimate of Between-subject
12.0
Between-subject calculated CI
10.45 to 14.08
ID: 0483
Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological VariationData 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
Cystatin C Estimate of Within-subject
4.8
Within-subject calculated CI
4.48 to 5.16


Estimate of Between-subject
49.9
Between-subject calculated CI
43.21 to 59.05
ID: 0283
Carter JL, Parker CT, Stevens PE, Eaglestone G, Knight S, Farmer CT and Lamb EJ, 2016, Clin Chem, 62, 876-83 , Biological variation of plasma and unrinary markers of acute kidney injury in patients with chronic kidney disease
State Of Wellbeing
Non-healthy (excl pregnant)
Number of Subjects
80
Number of males
47
Number of females
33
B7,13
Cystatin C Estimate of Within-subject
4.5
Within-subject calculated CI
3.16 to 7.52


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0223
Delanaye P, Cavalier E, Depas G, Chapelle JP and Krzesinski JM, 2008, Nephron Clin Pract, 108, 246-8 , New data on the intraindividual variation of cystatin C
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
13
Number of males
7
Number of females
6
C8,10,13
Cystatin C Estimate of Within-subject
13.3
Within-subject calculated CI
11.29 to 15.78


Estimate of Between-subject
8.1
Between-subject calculated CI
4.73 to 14.69
ID: 0285
Keevil BG, Kilpatrick ES, Nichols SP and Maylor PW, 1998, Clin Chem, 44, 1535-9 , Biological variation of cystatin C: implications for the assesment of glomerular filtration rate
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
12
Number of males
7
Number of females
5
C8,10,13
Cystatin C Estimate of Within-subject
8.6
Within-subject calculated CI
7.67 to 9.77


Estimate of Between-subject
15.1
Between-subject calculated CI
11.38 to 22.04
ID: 0221
Reinhard M, Erlandsen EJ and Randers E, 2009, Scand J Clin Lab Invest, 69, 831-6 , Biological variation of cystatin C and creatinine
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
20
Number of males
7
Number of females
13
C7,10
Cystatin C Estimate of Within-subject
16.0
Within-subject calculated CI
14.28 to 18.20


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0221
Reinhard M, Erlandsen EJ and Randers E, 2009, Scand J Clin Lab Invest, 69, 831-6 , Biological variation of cystatin C and creatinine
State Of Wellbeing
Non-healthy (excl pregnant)
Number of Subjects
19
Number of males
11
Number of females
8
C7,10
Cystatin C Estimate of Within-subject
12.0
Within-subject calculated CI
10.27 to 13.43


Estimate of Between-subject
20.0
Between-subject calculated CI
16.13 to 26.04
ID: 0282
Sambasivan AS, Lepage N and Filler G, 2005, Clin Chem, 51, 2215-6 , Cystatin C intrapatient variability in children with chronic kidney disease is less than serum creatinine
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
38
Number of males
19
Number of females
19
C6,8,10,12,13
Cystatin C Estimate of Within-subject
6.8
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
Cystatin C Estimate of Within-subject
5.2
Within-subject calculated CI
4.18 to 6.66


Estimate of Between-subject
25.6
Between-subject calculated CI
21.27 to 32.04
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
49
Number of males
18
Number of females
31
C10
Cystatin C Estimate of Within-subject
5.4
Within-subject calculated CI
to


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0224
Toffaletti JG, McDonnell EH, 2008, Clinica Chimica Acta, 395, 115-9 , Variation of serum creatinine, cystatin C and creatinine clearance tests in persons with normal renal function
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
30
Number of males
15
Number of females
15
C6,8,10,11,12,13
Deoxypyridinoline, free

View Records

There are : 2 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Deoxypyridinoline, free Estimate of Within-subject
9.8
Within-subject calculated CI
7.18 to 14.52


Estimate of Between-subject
19.7
Between-subject calculated CI
11.71 to 49.39
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
Deoxypyridinoline, free Estimate of Within-subject
10.2
Within-subject calculated CI
8.23 to 13.12


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0442
Clowes JA, Hannon RA, Yap TS et al, 2002, Bone, 30(6), 886-90 , Effect of feeding on bone turnover markers and its impact on biological variability of measurements
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
20
Number of males

Number of females
20
C7,8,10,12,13
Deoxypyridinoline level

View Records

There are : 5 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Deoxypyridinoline level Estimate of Within-subject
31.6
Within-subject calculated CI
27.70 to 36.55


Estimate of Between-subject
41.0
Between-subject calculated CI
31.47 to 56.33
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
Deoxypyridinoline level Estimate of Within-subject
21.3
Within-subject calculated CI
18.37 to 24.93


Estimate of Between-subject
30.3
Between-subject calculated CI
23.35 to 41.53
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
Deoxypyridinoline level Estimate of Within-subject
10.9
Within-subject calculated CI
8.30 to 13.61


Estimate of Between-subject
31.1
Between-subject calculated CI
24.54 to 41.96
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
Deoxypyridinoline level Estimate of Within-subject
13.8
Within-subject calculated CI
11.26 to 16.69


Estimate of Between-subject
34.6
Between-subject calculated CI
27.27 to 46.72
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
Deoxypyridinoline level Estimate of Within-subject
14.2
Within-subject calculated CI
10.69 to 20.72


Estimate of Between-subject
30.7
Between-subject calculated CI
18.43 to 76.67
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
DHEA sulphate level

View Records

There are : 5 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
DHEA sulphate level Estimate of Within-subject
2.9
Within-subject calculated CI
0.00 to 5.71


Estimate of Between-subject

Between-subject calculated CI
0.00 to
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
0
Number of females
10
C7,10
DHEA sulphate level Estimate of Within-subject
7.1
Within-subject calculated CI
2.75 to 8.78


Estimate of Between-subject
21.0
Between-subject calculated CI
14.77 to 35.82
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
11
Number of males
0
Number of females
11
C7,10
DHEA sulphate level Estimate of Within-subject
4.6
Within-subject calculated CI
0.00 to 7.32


Estimate of Between-subject
21.0
Between-subject calculated CI
14.71 to 35.90
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
11
Number of males
0
Number of females
11
C7,10
DHEA sulphate level Estimate of Within-subject
5.6
Within-subject calculated CI
4.34 to 7.24


Estimate of Between-subject
30.7
Between-subject calculated CI
21.04 to 56.17
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
DHEA sulphate level Estimate of Within-subject
1.2
Within-subject calculated CI
0.00 to 3.05


Estimate of Between-subject
29.3
Between-subject calculated CI
18.86 to 64.57
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
6
Number of males
6
Number of females
C4,8,10
Dihydroxytestosterone (DHT)

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There are : 1 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Dihydroxytestosterone (DHT) Estimate of Within-subject
15.9
Within-subject calculated CI
to


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0410
Sartorius G, Spasevska S, Idan A et al, 2012, Clin Endocrinol, 77, 755-63 , Serum testosterone, dihydrotestosterone and estradiol concentrations in older men self-reporting very good health: the healthy man study
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
325
Number of males
325
Number of females
C8,10,13
Eosinophils

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There are : 20 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Eosinophils Estimate of Within-subject
15.6
Within-subject calculated CI
12.97 to 19.05


Estimate of Between-subject
61.5
Between-subject calculated CI
46.50 to 90.18
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
Eosinophils Estimate of Within-subject
14.1
Within-subject calculated CI
11.82 to 17.01


Estimate of Between-subject
58.5
Between-subject calculated CI
45.03 to 83.08
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
Eosinophils Estimate of Within-subject
10.11
Within-subject calculated CI
7.81 to 12.65


Estimate of Between-subject
70.5
Between-subject calculated CI
51.02 to 113.71
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
13
Number of males
13
Number of females
0
A1,2,3,4,5,6,7,8,9,10,11,12,13,14
Eosinophils Estimate of Within-subject
14.83
Within-subject calculated CI
12.52 to 17.60


Estimate of Between-subject
70.5
Between-subject calculated CI
52.75 to 105.90
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
17
Number of males
0
Number of females
17
A1,2,3,4,5,6,7,8,9,10,11,12,13,14
Eosinophils Estimate of Within-subject
20.8
Within-subject calculated CI
19.84 to 21.78


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
Eosinophils Estimate of Within-subject
16.3
Within-subject calculated CI
13.92 to 18.56


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
Eosinophils Estimate of Within-subject
20.9
Within-subject calculated CI
19.47 to 22.51


Estimate of Between-subject
46.6
Between-subject calculated CI
35.10 to 69.07
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
Eosinophils Estimate of Within-subject
19.9
Within-subject calculated CI
17.43 to 22.62


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
Eosinophils Estimate of Within-subject
26.9
Within-subject calculated CI
22.84 to 32.09


Estimate of Between-subject
76.4
Between-subject calculated CI
57.89 to 111.07
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
Eosinophils Estimate of Within-subject
14.1
Within-subject calculated CI
10.04 to 17.23


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
Eosinophils Estimate of Within-subject
27.5
Within-subject calculated CI
22.60 to 34.31


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
53
Number of males
20
Number of females
33
C7,8,10,13
Eosinophils Estimate of Within-subject

Within-subject calculated CI
to


Estimate of Between-subject
100.99
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
845
Number of males

Number of females
C7,8,10,12,13
Eosinophils Estimate of Within-subject

Within-subject calculated CI
to


Estimate of Between-subject
89.78
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
515
Number of males

Number of females
C7,8,10,12,13
Eosinophils Estimate of Within-subject
23.8
Within-subject calculated CI
13.73 to 35.08


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
Eosinophils Estimate of Within-subject

Within-subject calculated CI
to


Estimate of Between-subject
108.52
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
330
Number of males
330
Number of females
0
C7,8,10,12,13
Eosinophils Estimate of Within-subject
28.8
Within-subject calculated CI
19.91 to 40.60


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
Eosinophils Estimate of Within-subject

Within-subject calculated CI
to


Estimate of Between-subject
96.31
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
389
Number of males

Number of females
C7,8,10,12,13
Eosinophils Estimate of Within-subject
26.5
Within-subject calculated CI
19.30 to 36.14


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
29
Number of males

Number of females
C7,8,10,13
Eosinophils Estimate of Within-subject

Within-subject calculated CI
to


Estimate of Between-subject
104.13
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
456
Number of males

Number of females
C7,8,10,12,13
Eosinophils Estimate of Within-subject
11.0
Within-subject calculated CI
9.79 to 12.48


Estimate of Between-subject
29.9
Between-subject calculated CI
24.42 to 38.35
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
Erythrocytes

View Records

There are : 29 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Erythrocytes Estimate of Within-subject
2.4
Within-subject calculated CI
1.98 to 3.02


Estimate of Between-subject
7.1
Between-subject calculated CI
5.03 to 11.81
ID: 0334
Buoro S, Carobene A, Seghezzi M, Manenti B, Dominoni P, Pacioni A, Ceriotti F, Ottomano C and Lippi G, 2018, Clin Chem Lab Med, , , Short- and medium-term biological variation estimates of red blood cell and reticulocyte parameters in healthy subjects
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
12
Number of males
0
Number of females
12
A1,2,3,4,5,6,7,8,9,10,11,12,13,14
Erythrocytes Estimate of Within-subject
1.4
Within-subject calculated CI
1.11 to 1.85


Estimate of Between-subject
7.8
Between-subject calculated CI
5.34 to 14.27
ID: 0334
Buoro S, Carobene A, Seghezzi M, Manenti B, Dominoni P, Pacioni A, Ceriotti F, Ottomano C and Lippi G, 2018, Clin Chem Lab Med, , , Short- and medium-term biological variation estimates of red blood cell and reticulocyte parameters in healthy subjects
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
9
Number of males
9
Number of females
0
A1,2,3,4,5,6,7,8,9,10,11,12,13,14
Erythrocytes Estimate of Within-subject
1.8
Within-subject calculated CI
1.47 to 2.28


Estimate of Between-subject
5.9
Between-subject calculated CI
4.19 to 9.80
ID: 0334
Buoro S, Carobene A, Seghezzi M, Manenti B, Dominoni P, Pacioni A, Ceriotti F, Ottomano C and Lippi G, 2018, Clin Chem Lab Med, , , Short- and medium-term biological variation estimates of red blood cell and reticulocyte parameters in healthy subjects
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
12
Number of males
12
Number of females
0
A1,2,3,4,5,6,7,8,9,10,11,12,13,14
Erythrocytes Estimate of Within-subject
2.3
Within-subject calculated CI
1.87 to 2.96


Estimate of Between-subject
9.5
Between-subject calculated CI
6.59 to 16.74
ID: 0334
Buoro S, Carobene A, Seghezzi M, Manenti B, Dominoni P, Pacioni A, Ceriotti F, Ottomano C and Lippi G, 2018, Clin Chem Lab Med, , , Short- and medium-term biological variation estimates of red blood cell and reticulocyte parameters in healthy subjects
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
10
Number of males
0
Number of females
10
A1,2,3,4,5,6,7,8,9,10,11,12,13,14
Erythrocytes Estimate of Within-subject
2.77
Within-subject calculated CI
2.48 to 3.13


Estimate of Between-subject
6.98
Between-subject calculated CI
5.20 to 10.51
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
17
Number of males
0
Number of females
17
A1,2,3,4,5,6,7,8,9,10,11,12,13,14
Erythrocytes Estimate of Within-subject
2.77
Within-subject calculated CI
2.44 to 3.20


Estimate of Between-subject
5.58
Between-subject calculated CI
4.00 to 9.06
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
13
Number of males
13
Number of females
0
A1,2,3,4,5,6,7,8,9,10,11,12,13,14
Erythrocytes Estimate of Within-subject
0.6
Within-subject calculated CI
0.00 to 1.86


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
Erythrocytes Estimate of Within-subject
1.4
Within-subject calculated CI
0.00 to 2.16


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
Erythrocytes Estimate of Within-subject
3.0
Within-subject calculated CI
2.79 to 3.24


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0034
Dot D, Miró J, Fuentes X., 1992, Arch Pathol Lab Med, 116, 825-26 , Within-Subject biological variation of hematological quantities and analytical goals
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
39
Number of males
20
Number of females
19
C7,8,10,13
Erythrocytes Estimate of Within-subject
2.3
Within-subject calculated CI
1.72 to 2.90


Estimate of Between-subject
8.6
Between-subject calculated CI
6.13 to 14.25
ID: 0048
Fraser CG, Wilkinson SP, Neville RG, Knox JDE, Kin g JF, MacWalter RS, 1989, Am J Clin Pathol, 92, 465-70 , Biologic variation of common hematologic laboratory quantities in the elderly
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
12
Number of males
12
Number of females
0
C7,10,13
Erythrocytes Estimate of Within-subject
1.9
Within-subject calculated CI
1.26 to 2.48


Estimate of Between-subject
5.3
Between-subject calculated CI
3.75 to 8.82
ID: 0048
Fraser CG, Wilkinson SP, Neville RG, Knox JDE, Kin g JF, MacWalter RS, 1989, Am J Clin Pathol, 92, 465-70 , Biologic variation of common hematologic laboratory quantities in the elderly
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
12
Number of males
0
Number of females
12
C7,10,13
Erythrocytes Estimate of Within-subject
2.9
Within-subject calculated CI
2.73 to 3.10


Estimate of Between-subject
8.1
Between-subject calculated CI
6.19 to 11.71
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
Erythrocytes Estimate of Within-subject
4.0
Within-subject calculated CI
3.69 to 4.36


Estimate of Between-subject
6.1
Between-subject calculated CI
4.75 to 8.43
ID: 0102
Maes M, Scharpé S, Cooreman W, Wauters A, Neels H, Verkerk R, De Meyer F, D ́Hondt P, Peeters D, Cosyns P, 1995, Experientia, 51, 141-49 , Components of biological, including seasonal, variation in hematological measurements and plasma fibrinogen concentrations in normal humans
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
26
Number of males
13
Number of females
13
C7,8,10,13
Erythrocytes Estimate of Within-subject
2.9
Within-subject calculated CI
2.61 to 3.26


Estimate of Between-subject
6.3
Between-subject calculated CI
5.24 to 7.83
ID: 0268
Nunes LA, Brenzikofer R and Vaz de Macedo D, 2010, Eur J Appl Physiol, 110, 191-8 , Reference change values of blood analytes from physically active subjects
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
56
Number of males
56
Number of females
0
B6,7,9,11
Erythrocytes Estimate of Within-subject
4.3
Within-subject calculated CI
3.93 to 4.75


Estimate of Between-subject
7.0
Between-subject calculated CI
5.91 to 8.49
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
0
C7,8
Erythrocytes Estimate of Within-subject
3.8
Within-subject calculated CI
3.45 to 4.22


Estimate of Between-subject
6.3
Between-subject calculated CI
5.28 to 7.73
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
0
Number of females
64
C7,8
Erythrocytes Estimate of Within-subject
3.1
Within-subject calculated CI
2.80 to 3.47


Estimate of Between-subject
6.6
Between-subject calculated CI
5.51 to 8.17
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
0
C7,8
Erythrocytes Estimate of Within-subject
3.1
Within-subject calculated CI
2.81 to 3.45


Estimate of Between-subject
5.8
Between-subject calculated CI
4.86 to 7.12
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
0
Number of females
62
C7,8
Erythrocytes Estimate of Within-subject

Within-subject calculated CI
to


Estimate of Between-subject
8.42
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
421
Number of males

Number of females
C7,8,10,12,13
Erythrocytes Estimate of Within-subject

Within-subject calculated CI
to


Estimate of Between-subject
8.84
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
500
Number of males

Number of females
C7,8,10,12,13
Erythrocytes Estimate of Within-subject
2.8
Within-subject calculated CI
1.80 to 3.92


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
26
Number of males

Number of females
C7,8,10,13
Erythrocytes Estimate of Within-subject
2.7
Within-subject calculated CI
1.21 to 4.00


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
Erythrocytes Estimate of Within-subject

Within-subject calculated CI
to


Estimate of Between-subject
7.13
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
549
Number of males
0
Number of females
549
C7,8,10,12,13
Erythrocytes Estimate of Within-subject
2.5
Within-subject calculated CI
1.97 to 3.13


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
56
Number of males
20
Number of females
36
C7,8,10,13
Erythrocytes Estimate of Within-subject

Within-subject calculated CI
to


Estimate of Between-subject
6.88
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
371
Number of males
371
Number of females
0
C7,8,10,12,13
Erythrocytes Estimate of Within-subject
2.6
Within-subject calculated CI
2.25 to 3.08


Estimate of Between-subject
7.3
Between-subject calculated CI
5.53 to 10.61
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
20
Number of males
0
Number of females
20
C10,13
Erythrocytes Estimate of Within-subject
2.2
Within-subject calculated CI
1.98 to 2.47


Estimate of Between-subject
9.3
Between-subject calculated CI
7.63 to 11.88
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
Erythrocytes Estimate of Within-subject
1.8
Within-subject calculated CI
1.55 to 2.13


Estimate of Between-subject
6.4
Between-subject calculated CI
4.90 to 9.18
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
21
Number of males
21
Number of females
0
C10,13
Erythrocytes Estimate of Within-subject
3.04
Within-subject calculated CI
2.82 to 3.30


Estimate of Between-subject
10.94
Between-subject calculated CI
8.96 to 14.02
ID: 0316
Zhang P, Tnag H, Chen K, Chen Y and Xu D, 2013, Arch Pathol Lab Med, 137, 1106-10 , Biological variations of hematologic parameters determined by UniCel DxH 800 hematology analyzer
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
40
Number of males
19
Number of females
21
C8,10,13
Estradiol

View Records

There are : 10 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Estradiol Estimate of Within-subject
14.3
Within-subject calculated CI
9.58 to 17.95


Estimate of Between-subject
9.9
Between-subject calculated CI
5.21 to 20.88
ID: 0170
Ahokoski O, Virtanen A, Huupponene R, Scheinin H, Salminen E, Kairisto V, Irjala K, 1998, Clin Chem Lab Med, 36, 485-91 , Biological day-to-day variation and daytime changes of testosterone, follitropin, lutropin and oestradiol-17β in healthy men
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
8
Number of males
8
Number of females
0
C4,7,8,10,13
Estradiol Estimate of Within-subject
12.7
Within-subject calculated CI
0.00 to 16.79


Estimate of Between-subject
15.0
Between-subject calculated CI
9.16 to 30.13
ID: 0170
Ahokoski O, Virtanen A, Huupponene R, Scheinin H, Salminen E, Kairisto V, Irjala K, 1998, Clin Chem Lab Med, 36, 485-91 , Biological day-to-day variation and daytime changes of testosterone, follitropin, lutropin and oestradiol-17β in healthy men
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
8
Number of males
8
Number of females
0
C4,7,8,10,13
Estradiol Estimate of Within-subject
15.5
Within-subject calculated CI
10.57 to 21.10


Estimate of Between-subject
18.5
Between-subject calculated CI
12.09 to 26.63
ID: 0170
Ahokoski O, Virtanen A, Huupponene R, Scheinin H, Salminen E, Kairisto V, Irjala K, 1998, Clin Chem Lab Med, 36, 485-91 , Biological day-to-day variation and daytime changes of testosterone, follitropin, lutropin and oestradiol-17β in healthy men
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
31
Number of males
31
Number of females
0
C4,7,8,10,13
Estradiol Estimate of Within-subject
27.4
Within-subject calculated CI
23.79 to 32.15


Estimate of Between-subject
41.6
Between-subject calculated CI
0.00 to 56.63
ID: 0170
Ahokoski O, Virtanen A, Huupponene R, Scheinin H, Salminen E, Kairisto V, Irjala K, 1998, Clin Chem Lab Med, 36, 485-91 , Biological day-to-day variation and daytime changes of testosterone, follitropin, lutropin and oestradiol-17β in healthy men
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
31
Number of males
31
Number of females
0
C4,7,8,10,13
Estradiol Estimate of Within-subject
15.0
Within-subject calculated CI
13.26 to 16.51


Estimate of Between-subject
13.0
Between-subject calculated CI
9.94 to 18.11
ID: 0241
Andersson AM, Carlsen E, Petersen JH and Skakkebaek NE, 2003, J Clin Endocrinol Metab, 88, 932-937 , Variation in levels of serum Inhibin B, testosterone, estradiol, luteinizing hormone, follicle-stimulating hormone and sex hormone binding globulin in monthly samples from healthy men during a 17-month period: possible effects of seasons
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
27
Number of males
27
Number of females
C7,8,10,11,13
Estradiol Estimate of Within-subject
30.4
Within-subject calculated CI
25.19 to 38.27


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0118
Ooi LSM, Panesar NS, Masarei JRL, 1995, Clin Chim Acta, 236, 87-92 , Within- and between-subject variation in, and associations between, serum concentrations and urinary excretion of testosterone and estradiol in Chinese men
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
46
Number of males
46
Number of females
0
C8,10
Estradiol Estimate of Within-subject
23.4
Within-subject calculated CI
19.27 to 29.60


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0118
Ooi LSM, Panesar NS, Masarei JRL, 1995, Clin Chim Acta, 236, 87-92 , Within- and between-subject variation in, and associations between, serum concentrations and urinary excretion of testosterone and estradiol in Chinese men
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
46
Number of males
46
Number of females
0
C8,10
Estradiol Estimate of Within-subject
21.7
Within-subject calculated CI
17.54 to 28.32


Estimate of Between-subject
24.4
Between-subject calculated CI
14.24 to 56.12
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
Estradiol Estimate of Within-subject
61.4
Within-subject calculated CI
51.66 to 75.67


Estimate of Between-subject
152.9
Between-subject calculated CI
103.76 to 281.36
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
Estradiol Estimate of Within-subject
16.5
Within-subject calculated CI
to


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0410
Sartorius G, Spasevska S, Idan A et al, 2012, Clin Endocrinol, 77, 755-63 , Serum testosterone, dihydrotestosterone and estradiol concentrations in older men self-reporting very good health: the healthy man study
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
325
Number of males
325
Number of females
C8,10,13
Estradiol - free

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There are : 1 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Estradiol - free Estimate of Within-subject
38.5
Within-subject calculated CI
31.87 to 48.50


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0118
Ooi LSM, Panesar NS, Masarei JRL, 1995, Clin Chim Acta, 236, 87-92 , Within- and between-subject variation in, and associations between, serum concentrations and urinary excretion of testosterone and estradiol in Chinese men
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
46
Number of males
46
Number of females
0
C8,10
Estrone

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There are : 1 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Estrone Estimate of Within-subject
14.2
Within-subject calculated CI
to


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0410
Sartorius G, Spasevska S, Idan A et al, 2012, Clin Endocrinol, 77, 755-63 , Serum testosterone, dihydrotestosterone and estradiol concentrations in older men self-reporting very good health: the healthy man study
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
325
Number of males
325
Number of females
C8,10,13
Fibroblast growth factor-23 level

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There are : 1 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Fibroblast growth factor-23 level Estimate of Within-subject
14.2
Within-subject calculated CI
12.27 to 16.81


Estimate of Between-subject
13.4
Between-subject calculated CI
9.02 to 22.15
ID: 0473
Jabor A, Kubicek Z, Komrskova J, et al, 2019, Ann Clin Biochem, , , Biological variation of intact fibroblast growth factor 23 measured on a fully automated chemiluminescent platform
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
14
Number of males
7
Number of females
7
A1,2,3,4,5,6,7,8,9,10,11,12,13,14
Free kappa light chain level

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There are : 2 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Free kappa light chain level Estimate of Within-subject
4.8
Within-subject calculated CI
4.22 to 5.56


Estimate of Between-subject
15.3
Between-subject calculated CI
10.92 to 25.34
ID: 0042
Ford RP, Mitchell PEG, Fraser CG., 1988, Clin Chem , 34, 1733-36 , Desirable performance characteristics and clinical utility of immunoglobulin and light-chain assays derived from data on biological variation
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
12
Number of males
6
Number of females
6
C10
Free kappa light chain level Estimate of Within-subject
6.1
Within-subject calculated CI
5.57 to 6.73


Estimate of Between-subject
17.7
Between-subject calculated CI
13.94 to 24.16
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
C8,10,13
Free lambda light chain level

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There are : 2 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Free lambda light chain level Estimate of Within-subject
4.8
Within-subject calculated CI
4.23 to 5.55


Estimate of Between-subject
17.3
Between-subject calculated CI
12.36 to 28.63
ID: 0042
Ford RP, Mitchell PEG, Fraser CG., 1988, Clin Chem , 34, 1733-36 , Desirable performance characteristics and clinical utility of immunoglobulin and light-chain assays derived from data on biological variation
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
12
Number of males
6
Number of females
6
C10
Free lambda light chain level Estimate of Within-subject
5.4
Within-subject calculated CI
4.92 to 5.97


Estimate of Between-subject
20.6
Between-subject calculated CI
16.25 to 28.09
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
C8,10,13
Free tetra-iodothyronine level

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There are : 5 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Free tetra-iodothyronine level Estimate of Within-subject
4.8
Within-subject calculated CI
1.42 to 6.23


Estimate of Between-subject
11.7
Between-subject calculated CI
0.00 to 20.77
ID: 0209
Ankrah-Tetteh T, Wijeratne S and Swaminathan R, 2008, Ann Clin Biochem, 45, 167-9 , Intrandividual variation in serum thyroid hormones, parathyroid hormone and insulin-like growth factor-1
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
10
Number of males
4
Number of females
6
C7,8,10,13
Free tetra-iodothyronine level Estimate of Within-subject
5.7
Within-subject calculated CI
to


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0019
Browning MC, Bennet WM, Kirkaldy AJ, Jung RT., 1988, Clin Chem, 34(4), 696-9 , Intra-individual variation of thyroxin, triiodothyronine, and thyrotropin in treated hypothyroid patients: implications for monitoring replacement therapy.
State Of Wellbeing
Non-healthy (excl pregnant)
Number of Subjects
12
Number of males
1
Number of females
11
C8,12
Free tetra-iodothyronine level Estimate of Within-subject
9.5
Within-subject calculated CI
8.12 to 11.23


Estimate of Between-subject
12.1
Between-subject calculated CI
8.36 to 20.43
ID: 0017
Browning MC, Ford RP, Callaghan SJ, Fraser CG., 1986, Clin Chem. 32(6):962-6., 32(6), 962-6 , Intra- and interindividual biological variation of five analytes used in assessing thyroid function: implications for necessary standards of performance and the interpretation of results.
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
12
Number of males
6
Number of females
6
C8,10,13
Free tetra-iodothyronine level Estimate of Within-subject

Within-subject calculated CI
to


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0342
Loh TPL, Sethi SK and Metz MP, 2015, J Clin Pathol, 68, 642-7 , Paediatric reference and biological variation trends of thyrotropin (TSH) and free thyroxine (T4) in an Asian population
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
5905
Number of males
2598
Number of females
3307
C10,11,12
Free tetra-iodothyronine level Estimate of Within-subject
9.1
Within-subject calculated CI
7.87 to 10.14


Estimate of Between-subject
14.0
Between-subject calculated CI
11.76 to 17.11
ID: 0413
Oladipo O, Nenninger DA, Parvin Ca and Dietzen DJ, 2010, Clin Chim Acta, 411, 1143-5 , Intraindividual variability of thyroid function tests in a pediatric population
State Of Wellbeing
Non-healthy (excl pregnant)
Number of Subjects
66
Number of males
34
Number of females
32
C5,8,10,13
Free tri-iodothyronine level

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There are : 3 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Free tri-iodothyronine level Estimate of Within-subject
4.7
Within-subject calculated CI
3.73 to 5.91


Estimate of Between-subject
12.7
Between-subject calculated CI
8.76 to 22.47
ID: 0209
Ankrah-Tetteh T, Wijeratne S and Swaminathan R, 2008, Ann Clin Biochem, 45, 167-9 , Intrandividual variation in serum thyroid hormones, parathyroid hormone and insulin-like growth factor-1
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
10
Number of males
4
Number of females
6
C7,8,10,13
Free tri-iodothyronine level Estimate of Within-subject
8.7
Within-subject calculated CI
to


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0019
Browning MC, Bennet WM, Kirkaldy AJ, Jung RT., 1988, Clin Chem, 34(4), 696-9 , Intra-individual variation of thyroxin, triiodothyronine, and thyrotropin in treated hypothyroid patients: implications for monitoring replacement therapy.
State Of Wellbeing
Non-healthy (excl pregnant)
Number of Subjects
12
Number of males
1
Number of females
11
C8,12
Free tri-iodothyronine level Estimate of Within-subject
7.9
Within-subject calculated CI
6.35 to 9.65


Estimate of Between-subject
22.5
Between-subject calculated CI
15.99 to 37.35
ID: 0017
Browning MC, Ford RP, Callaghan SJ, Fraser CG., 1986, Clin Chem. 32(6):962-6., 32(6), 962-6 , Intra- and interindividual biological variation of five analytes used in assessing thyroid function: implications for necessary standards of performance and the interpretation of results.
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
12
Number of males
6
Number of females
6
C8,10,13
Fructosamine level

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There are : 8 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Fructosamine level Estimate of Within-subject
2.2
Within-subject calculated CI
1.53 to 2.86


Estimate of Between-subject
4.3
Between-subject calculated CI
2.93 to 7.67
ID: 0031
Davie SJ, Whiting KL, Gould BJ., 1993, Ann Clin Biochem, 30, 260-64 , Biological variation in glycated proteins
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
10
Number of males
4
Number of females
6
C8,13
Fructosamine level Estimate of Within-subject
4.6
Within-subject calculated CI
4.14 to 5.14


Estimate of Between-subject
3.8
Between-subject calculated CI
2.84 to 5.38
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
Fructosamine level Estimate of Within-subject
10.7
Within-subject calculated CI
8.07 to 14.36


Estimate of Between-subject
19.6
Between-subject calculated CI
12.70 to 38.38
ID: 0289
Howey JEA, Bennet WM, Browning MCK, Jung RT and Fraser CG, 1989, Diabetic Medicine, 6, 793-6 , Clinical utility of assays of glycosilated haemoglobin and serum fructosamine comapred: use of data on biological variation
State Of Wellbeing
Non-healthy (excl pregnant)
Number of Subjects
8
Number of males
3
Number of females
5
C8,10,13
Fructosamine level Estimate of Within-subject
5.3
Within-subject calculated CI
4.11 to 6.77


Estimate of Between-subject
9.3
Between-subject calculated CI
6.66 to 14.50
ID: 0079
Howey JEA, Browning MCk, Fraser CG., 1987, Clin Chem, 33, 269-72 , Assay of serum fructosamine that minimizes standardization and matrix problems: use to asses components of biological variation
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
16
Number of males
7
Number of females
9
C10,12,13
Fructosamine level Estimate of Within-subject
2.3
Within-subject calculated CI
1.58 to 3.05


Estimate of Between-subject
6.3
Between-subject calculated CI
4.67 to 9.43
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
Fructosamine level Estimate of Within-subject
3.4
Within-subject calculated CI
0.80 to 4.44


Estimate of Between-subject
8.5
Between-subject calculated CI
7.30 to 10.03
ID: 0278
Parrinello CM, Lutsey PL, Couper D, Eckfeldt JH, Steffes MW, Coresh J and Selvin E, 2015, Clin Chem, 61, 1540-1 , Total short-term variability in biomarkers of hyperglycemia in older adults
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
103
Number of males

Number of females
C8,10,13
Fructosamine level Estimate of Within-subject
3.7
Within-subject calculated CI
0.00 to 5.22


Estimate of Between-subject
14.8
Between-subject calculated CI
12.24 to 18.57
ID: 0278
Parrinello CM, Lutsey PL, Couper D, Eckfeldt JH, Steffes MW, Coresh J and Selvin E, 2015, Clin Chem, 61, 1540-1 , Total short-term variability in biomarkers of hyperglycemia in older adults
State Of Wellbeing
Non-healthy (excl pregnant)
Number of Subjects
50
Number of males

Number of females
C8,10,13
Fructosamine level Estimate of Within-subject
15.1
Within-subject calculated CI
to


Estimate of Between-subject

Between-subject calculated CI
0.00 to
ID: 0292
Watts CF, Morris RW, Goodland FC, Kubal C and Shaw KM, 1989, Practical Diabetes, 6, 159-63 , Serum fructosamine and glycosylated haemoglobin in the monitoring of glycaemic control in insulin-dependent diabetic outpatients
State Of Wellbeing
Non-healthy (excl pregnant)
Number of Subjects
172
Number of males
96
Number of females
76
C8,10,11,12,13
FSH level

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There are : 8 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
FSH level Estimate of Within-subject
9.1
Within-subject calculated CI
6.21 to 11.41


Estimate of Between-subject
47.4
Between-subject calculated CI
31.92 to 90.98
ID: 0170
Ahokoski O, Virtanen A, Huupponene R, Scheinin H, Salminen E, Kairisto V, Irjala K, 1998, Clin Chem Lab Med, 36, 485-91 , Biological day-to-day variation and daytime changes of testosterone, follitropin, lutropin and oestradiol-17β in healthy men
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
8
Number of males
8
Number of females
0
C4,7,8,10,13
FSH level Estimate of Within-subject
8.0
Within-subject calculated CI
0.00 to 10.57


Estimate of Between-subject
47.2
Between-subject calculated CI
31.77 to 90.60
ID: 0170
Ahokoski O, Virtanen A, Huupponene R, Scheinin H, Salminen E, Kairisto V, Irjala K, 1998, Clin Chem Lab Med, 36, 485-91 , Biological day-to-day variation and daytime changes of testosterone, follitropin, lutropin and oestradiol-17β in healthy men
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
8
Number of males
8
Number of females
0
C4,7,8,10,13
FSH level Estimate of Within-subject
7.5
Within-subject calculated CI
3.71 to 10.37


Estimate of Between-subject
55.3
Between-subject calculated CI
44.20 to 73.69
ID: 0170
Ahokoski O, Virtanen A, Huupponene R, Scheinin H, Salminen E, Kairisto V, Irjala K, 1998, Clin Chem Lab Med, 36, 485-91 , Biological day-to-day variation and daytime changes of testosterone, follitropin, lutropin and oestradiol-17β in healthy men
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
31
Number of males
31
Number of females
0
C4,7,8,10,13
FSH level Estimate of Within-subject
7.7
Within-subject calculated CI
6.04 to 9.22


Estimate of Between-subject
58.0
Between-subject calculated CI
0.00 to 77.19
ID: 0170
Ahokoski O, Virtanen A, Huupponene R, Scheinin H, Salminen E, Kairisto V, Irjala K, 1998, Clin Chem Lab Med, 36, 485-91 , Biological day-to-day variation and daytime changes of testosterone, follitropin, lutropin and oestradiol-17β in healthy men
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
31
Number of males
31
Number of females
0
C4,7,8,10,13
FSH level Estimate of Within-subject
11.0
Within-subject calculated CI
10.21 to 11.88


Estimate of Between-subject
49.0
Between-subject calculated CI
38.70 to 66.75
ID: 0241
Andersson AM, Carlsen E, Petersen JH and Skakkebaek NE, 2003, J Clin Endocrinol Metab, 88, 932-937 , Variation in levels of serum Inhibin B, testosterone, estradiol, luteinizing hormone, follicle-stimulating hormone and sex hormone binding globulin in monthly samples from healthy men during a 17-month period: possible effects of seasons
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
27
Number of males
27
Number of females
C7,8,10,11,13
FSH level Estimate of Within-subject
2.9
Within-subject calculated CI
1.75 to 4.19


Estimate of Between-subject
27.9
Between-subject calculated CI
17.95 to 61.50
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
FSH level Estimate of Within-subject
30.8
Within-subject calculated CI
25.90 to 37.97


Estimate of Between-subject
33.6
Between-subject calculated CI
21.37 to 63.85
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
FSH level Estimate of Within-subject
17.3
Within-subject calculated CI
13.80 to 19.85


Estimate of Between-subject
36.0
Between-subject calculated CI
27.29 to 52.33
ID: 0160
Valero-Politi J, Fuentes-Arderiu X, 1993, Clin Chem, 39, 1723-5 , Within-and between-subjet biological variations of follitropin, lutropin, testesterone, and sex-binding globulin in men
State Of Wellbeing
Healthy (excl pregnant)
Number of Subjects
20
Number of males
20
Number of females
C8,10
Galactosyl Hydroxylysine

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There are : 1 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
Galactosyl Hydroxylysine Estimate of Within-subject
11.8
Within-subject calculated CI
8.80 to 17.32


Estimate of Between-subject
25.8
Between-subject calculated CI
15.49 to 64.43
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
g-glutamyl transferase activity

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There are : 16 Records

Details of Datasets

Analyte Estimates Reference Study Group Score
g-glutamyl transferase activity Estimate of Within-subject
2.7
Within-subject calculated CI
2.12 to 3.25


Estimate of Between-subject
18.7
Between-subject calculated CI
14.87 to 25.17
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
g-glutamyl transferase activity Estimate of Within-subject
8.3
Within-subject calculated CI
7.19 to 9.48


Estimate of Between-subject
41.7
Between-subject calculated CI
33.67 to 54.71
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,
g-glutamyl transferase activity Estimate of Within-subject
8.3
Within-subject calculated CI
7.38 to 9.26


Estimate of Between-subject
34.2
Between-subject calculated CI
28.51 to 42.69
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,
g-glutamyl transferase activity Estimate of Within-subject
8.9
Within-subject calculated CI
8.20 to