EFLM Biological Varation Database : Datasets by Measurand EFLM Biological Variation

All Measurands in Database

There are currently 161 measurands in the database, with 2028 data sets

17-a-hydroxyprogesterone

There are : 3 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
17-a-hydroxyprogesterone	Estimate of Within-subject 19.6 Within-subject calculated CI 17.07 to 22.99 Estimate of Between-subject 52.4 Between-subject calculated CI 38.37 to 81.57	ID: 0137 Ricós C and Arbós MA, 1990, Ann Clin Biochem, 27, 353-8 , Quality goals for hormone testing	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 6 Number of females 9	C_4,8,10
17-a-hydroxyprogesterone	Estimate of Within-subject 33.8 Within-subject calculated CI 28.67 to 41.16 Estimate of Between-subject 60.7 Between-subject calculated CI 43.60 to 95.61	ID: 0474 Van der Veen A, van Faassen M, De Jong WHA et al, 2019, Clin Biochem, , , Development and validation of a LC-MS/MS method for the establishment of reference intervals and biological variation for five plasma steroid hormones	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males Number of females 15	B₁₄
17-a-hydroxyprogesterone	Estimate of Within-subject 24.4 Within-subject calculated CI 20.70 to 29.72 Estimate of Between-subject 27.6 Between-subject calculated CI 18.87 to 44.61	ID: 0474 Van der Veen A, van Faassen M, De Jong WHA et al, 2019, Clin Biochem, , , Development and validation of a LC-MS/MS method for the establishment of reference intervals and biological variation for five plasma steroid hormones	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 15 Number of females	B₁₄

25-hydroxy vitamin D3

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There are : 5 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
25-hydroxy vitamin D3	Estimate of Within-subject 11.6 Within-subject calculated CI 9.25 to 13.51 Estimate of Between-subject Between-subject calculated CI to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 212 Number of males 212 Number of females	C_5,7,10
25-hydroxy vitamin D3	Estimate of Within-subject 21.2 Within-subject calculated CI 19.64 to 22.89 Estimate of Between-subject Between-subject calculated CI 35.44 to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 828 Number of males Number of females	C_5,7,10
25-hydroxy vitamin D3	Estimate of Within-subject 11.6 Within-subject calculated CI 9.48 to 13.36 Estimate of Between-subject Between-subject calculated CI to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 248 Number of males Number of females 248	C_5,7,10
25-hydroxy vitamin D3	Estimate of Within-subject 6.9 Within-subject calculated CI 4.95 to 8.30 Estimate of Between-subject 31.4 Between-subject calculated CI 28.18 to 35.40	ID: 0427 Lutsey P, Parrinello CM, Misialek JR et al, 2016, Clin Chem, 12, 1647-53 , Short-term variability of vitamin D-related biomarkers	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 160 Number of males 64 Number of females 96	C_{5,7,8,10,11,13}
25-hydroxy vitamin D3	Estimate of Within-subject 12.1 Within-subject calculated CI 10.18 to 14.63 Estimate of Between-subject 40.3 Between-subject calculated CI 30.60 to 58.51	ID: 0249 Viljoen A, Singh DK, Farrington K and Twomey PJ, 2011, J Clin Lab Anal, 25, 130-3 , Analytical quality goals for 25-vitamin D based on biological variation	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10	C_7,8,10,12,13

3-hydroxybutyrate

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There are : 1 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
3-hydroxybutyrate	Estimate of Within-subject 61.0 Within-subject calculated CI 54.39 to 69.44 Estimate of Between-subject 41.0 Between-subject calculated CI 26.55 to 71.53	ID: 0293 Widjaja A, Morris RJ, Levy JC, Frayn KN, Manley SE and Turner RC, 1999, Clin Chem , 45, 561-6 , Within- and between-subject variationin comoly measured anthropometricand biochemical variables.	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 6 Number of females 6	C_8,10

5-Hydroxyindoleacetate (5HIAA)

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There are : 1 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
5-Hydroxyindoleacetate (5HIAA)	Estimate of Within-subject 12.3 Within-subject calculated CI 8.57 to 16.00 Estimate of Between-subject 20.4 Between-subject calculated CI 15.82 to 26.77	ID: 0446 Curtin F, Walker JP and Schulz P, 1996, J Affect Dissord, 38, 173-8 , Day-to-day intraindividual reliability and interindividual differences in monoamines excretion	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 44 Number of males 44 Number of females	C_7,8,10,13

a-1 antitrypsin

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There are : 7 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
a-1 antitrypsin	Estimate of Within-subject 5.0 Within-subject calculated CI 2.94 to 6.51 Estimate of Between-subject 13.0 Between-subject calculated CI 9.34 to 20.75	ID: 0248 Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16	C_10,12
a-1 antitrypsin	Estimate of Within-subject 3.6 Within-subject calculated CI 3.31 to 3.93 Estimate of Between-subject 8.1 Between-subject calculated CI 6.56 to 10.53	ID: 0483 Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
a-1 antitrypsin	Estimate of Within-subject 3.8 Within-subject calculated CI 3.60 to 4.02 Estimate of Between-subject 10.1 Between-subject calculated CI 8.77 to 11.90	ID: 0483 Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
a-1 antitrypsin	Estimate of Within-subject 4.03 Within-subject calculated CI 3.76 to 4.34 Estimate of Between-subject 10.6 Between-subject calculated CI 8.84 to 13.21	ID: 0483 Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
a-1 antitrypsin	Estimate of Within-subject 13.5 Within-subject calculated CI 12.19 to 15.12 Estimate of Between-subject 18.3 Between-subject calculated CI 13.63 to 27.11	ID: 0024 Clark GH, Fraser CG. , 1993, Ann Clin Biochem, 30, 373-76 , Biological variation of acute phase proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 19 Number of males 9 Number of females 10	C_8,10,12,13
a-1 antitrypsin	Estimate of Within-subject 4.8 Within-subject calculated CI 3.90 to 5.99 Estimate of Between-subject Between-subject calculated CI to	ID: 0264 Franzini C, Scapellato G and Vanoni G, 1993, Biochim Clin, 17, 315-9 , Variabilità bologica ed analitica della anti-streptolisina O e di proteine della fase acuta del siero	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 4 Number of females 8	C_7,10
a-1 antitrypsin	Estimate of Within-subject 2.9 Within-subject calculated CI 0.00 to 4.68 Estimate of Between-subject 15.7 Between-subject calculated CI 11.41 to 24.88	ID: 0153 Statland BE, Winkel P and Killingsworth LM, 1976, Clin Chem, 22, 1635-8 , Factors Contributing to Intra-Individual Variation of Serum Constituents: 6. Physiological Day-to-Day Variation in Concentrations of 10 Specific Proteins in Sera of Healthy Subjects	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 8 Number of females 6	C_8,10,12,13

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	C_8,10,12,13

Actual bicarbonate

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There are : 1 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
Actual bicarbonate	Estimate of Within-subject 4.0 Within-subject calculated CI 3.38 to 4.74 Estimate of Between-subject 4.8 Between-subject calculated CI 3.37 to 7.77	ID: 68 Harding PJ, Fraser CG, 1987, Clin Chem , 33, 1416-8 , Biological variation of blood acid-base status: consequences for analytical goal-setting and interpretation of results	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 9 Number of females 5	C_7,8,10

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	C_8,12,13
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	C_8,10,12,13
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	C_8,10,12,13
Adiponectin	Estimate of Within-subject 18.8 Within-subject calculated CI 14.65 to 25.56 Estimate of Between-subject 51.2 Between-subject calculated CI 35.05 to 90.94	ID: 0199 Shand B, Elder P, Scott R Frampton C and Willis J, 2006, Clin Chem Lab Med, 44, 1264-8 , Biovariabiity of plasma adiponectin	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5	C_8,10,12,13

Adrenaline

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There are : 5 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
Adrenaline	Estimate of Within-subject 45.9 Within-subject calculated CI 37.94 to 58.10 Estimate of Between-subject 85.3 Between-subject calculated CI 67.72 to 110.68	ID: 0446 Curtin F, Walker JP and Schulz P, 1996, J Affect Dissord, 38, 173-8 , Day-to-day intraindividual reliability and interindividual differences in monoamines excretion	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 44 Number of males 44 Number of females	C_7,8,10,13
Adrenaline	Estimate of Within-subject 161.0 Within-subject calculated CI 146.36 to 173.26 Estimate of Between-subject 21.0 Between-subject calculated CI 4.57 to 44.93	ID: 0431 Hansen AM, Garde AH, Skovgaard LT and Chistensen JM, 2001, Clin Chim Acta, 309, 25-35 , Seasonal and biological variation of urinary epinephrine, norepinephrine, and cortisol in healthy women	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12	C_7,8,10,13
Adrenaline	Estimate of Within-subject 89.0 Within-subject calculated CI 85.18 to 93.18 Estimate of Between-subject 57.0 Between-subject calculated CI 39.82 to 97.64	ID: 0431 Hansen AM, Garde AH, Skovgaard LT and Chistensen JM, 2001, Clin Chim Acta, 309, 25-35 , Seasonal and biological variation of urinary epinephrine, norepinephrine, and cortisol in healthy women	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12	C_7,8,10,13
Adrenaline	Estimate of Within-subject 135.0 Within-subject calculated CI 129.25 to 141.29 Estimate of Between-subject 54.0 Between-subject calculated CI 36.90 to 93.75	ID: 0431 Hansen AM, Garde AH, Skovgaard LT and Chistensen JM, 2001, Clin Chim Acta, 309, 25-35 , Seasonal and biological variation of urinary epinephrine, norepinephrine, and cortisol in healthy women	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12	C_7,8,10,13
Adrenaline	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0447 Li XS, Li S, Wynveen P et al. , 2014, Anal Bioanal Chem, 406, 7287-97 , Development and validation of a specific and sensitive LC-MS/MS method for quantification of urinary catecholamines and application in biological variation studies	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 25 Number of males 10 Number of females 15	C_7,8,10,13

Alanine transaminase (ALT)

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There are : 26 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	C_10,13
Alanine transaminase (ALT)	Estimate of Within-subject 9.3 Within-subject calculated CI 8.70 to 9.95 Estimate of Between-subject 28.0 Between-subject calculated CI 24.34 to 32.92	ID: 0324 Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
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	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
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	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Alanine transaminase (ALT)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0298 Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females	D₄
Alanine transaminase (ALT)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0027 Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126	D₄
Alanine transaminase (ALT)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0297 Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni”	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females	D₄
Alanine transaminase (ALT)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0046 Fraser CG 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	D₄
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	C_4,8,13
Alanine transaminase (ALT)	Estimate of Within-subject 13.0 Within-subject calculated CI 11.37 to 15.09 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0072 Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 16 Number of males 16 Number of females	C_4,8,13
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	C_4,8,13
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	C_4,8,13
Alanine transaminase (ALT)	Estimate of Within-subject 18.2 Within-subject calculated CI 16.93 to 19.66 Estimate of Between-subject Between-subject calculated CI to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 380 Number of males 380 Number of females	C_5,7,10
Alanine transaminase (ALT)	Estimate of Within-subject 20.3 Within-subject calculated CI 19.31 to 21.39 Estimate of Between-subject Between-subject calculated CI to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 796 Number of males Number of females	C_5,7,10
Alanine transaminase (ALT)	Estimate of Within-subject 22.9 Within-subject calculated CI 21.40 to 24.62 Estimate of Between-subject Between-subject calculated CI to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 416 Number of males Number of females 416	C_5,7,10
Alanine transaminase (ALT)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0270 Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1726 Number of males 1726 Number of females	D₄
Alanine transaminase (ALT)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0271 Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 640 Number of males 256 Number of females 384	D₄
Alanine transaminase (ALT)	Estimate of Within-subject 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	C_8,13
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	C_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 56 Number of females	C_8,13
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	C_8,13
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	C_8,10
Alanine transaminase (ALT)	Estimate of Within-subject 6.7 Within-subject calculated CI 4.74 to 9.94 Estimate of Between-subject 83.9 Between-subject calculated CI 59.36 to 142.57	ID: 0266 Statland BE, Winkel P and Bokelund H, 1973, Clin Chem, 19, 1374-9 , Factors contributing to intra-individual variation of serum constituents: 1. within-day variation of serum constituents in healthy subjects	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females	D₄
Alanine transaminase (ALT)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0291 Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 791 Number of males Number of females	D₄
Alanine transaminase (ALT)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0166 Winkel P, Statland BE and Bokelund H, 1974, Clin Chem, 20, 1520-7 , Factors Contributing to Intra-Individual Variation of serum constituents: 5. Short-Term day-to-day and within-hour variation of serum constituents in healthy subjects	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females	D₄
Alanine transaminase (ALT)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0168 Young DS, Harris EK and Cotlove E, 1971, Clin Chem, 17, 403-10 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. IV. Results of a study designed to eliminate long-term analytic deviations.	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 9 Number of females	D₄

Albumin

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There are : 46 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	C_10,12
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	C_10,12
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	C_10,12
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	C_10,12
Albumin	Estimate of Within-subject 2.5 Within-subject calculated CI 2.36 to 2.66 Estimate of Between-subject 5.1 Between-subject calculated CI 4.43 to 6.00	ID: 0483 Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Albumin	Estimate of Within-subject 2.5 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0263 Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males 6 Number of females 7	C_10,12
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	C_10,12
Albumin	Estimate of Within-subject 2.1 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0263 Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 4 Number of females 4	C_10,12
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	C_8,10,13
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	C_8,10,12,13
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	C_4,8,10,13
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	C_8,10,13
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	C_4,10
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	C₈
Albumin	Estimate of Within-subject 2.68 Within-subject calculated CI 2.16 to 3.45 Estimate of Between-subject 3.44 Between-subject calculated CI 2.33 to 5.58	ID: 0062 González-Revaldería J., García-Bermejo S., Menchén-Herreros A., and Fernández-Rodriguez E, 1991, Clin Chem, 37, 596 , Towards narrower analytical goals in routine laboratory work	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 5 Number of females 10	C₁₀
Albumin	Estimate of Within-subject 2.2 Within-subject calculated CI 1.89 to 2.57 Estimate of Between-subject 4.1 Between-subject calculated CI 2.98 to 6.41	ID: 0064 Gowans EMS, Fraser G., 1987, Clin Chem, 33, 717 , Longer-term biological vari ation of commonly analyzed serum constituent	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 7 Number of females 8	C_8,10,13
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	C_8,10,13
Albumin	Estimate of Within-subject 3.6 Within-subject calculated CI 2.64 to 4.45 Estimate of Between-subject Between-subject calculated CI to	ID: 0073 Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males 0 Number of females 9	C_8,13
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	C_8,13
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	C_8,13
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	C_8,13
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	C_8,13
Albumin	Estimate of Within-subject 2.9 Within-subject calculated CI 1.45 to 3.68 Estimate of Between-subject Between-subject calculated CI to	ID: 0073 Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 8 Number of males 8 Number of females 0	C_8,13
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	C_{6,8,10,11,12,13}
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	C_8,10,12,13
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 3.0 Within-subject calculated CI to Estimate of Between-subject 6.2 Between-subject calculated CI to	ID: 0270 Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 2025 Number of males 2025 Number of females	C_{4,5,6,7,10,12,13}
Albumin	Estimate of Within-subject 3.0 Within-subject calculated CI to Estimate of Between-subject 7.2 Between-subject calculated CI to	ID: 0270 Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 3030 Number of males Number of females 3030	C_{4,5,6,7,10,12,13}
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	C_{8,10,11,12,13}
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	C_{8,10,11,12,13}
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	C_{8,10,11,12,13}
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 4.5 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 3.4 Within-subject calculated CI 3.08 to 3.78 Estimate of Between-subject 5.9 Between-subject calculated CI 4.99 to 7.15	ID: 0246 Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 56 Number of females	C₈
Albumin	Estimate of Within-subject 4.3 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 3.0 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 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	C_8,10,13
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	C_8,10,13
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	C_8,10,13
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	C_8,13
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	C_8,10,12,13
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	C_8,10,13

Aldosterone

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There are : 6 Records

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Analyte	Estimates	Reference	Study Group	Score
Aldosterone	Estimate of Within-subject 26.0 Within-subject calculated CI 6.78 to 36.35 Estimate of Between-subject 37.0 Between-subject calculated CI 25.75 to 52.37	ID: 0311 Ahokoski O, Virtanen A, Kairisto V, Scheinin H, Huupponen R, Irjala K, 1999, Clin Chem, 45(7), 1097-9 , Biological day-to-day variation and reference change limits of serum cortisol and aldosterone in healthy young men on unrestricted diets.	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 31 Number of males 31 Number of females	C_7,8,10,13
Aldosterone	Estimate of Within-subject 36.0 Within-subject calculated CI 12.00 to 47.21 Estimate of Between-subject 28.0 Between-subject calculated CI 14.21 to 59.30	ID: 0311 Ahokoski O, Virtanen A, Kairisto V, Scheinin H, Huupponen R, Irjala K, 1999, Clin Chem, 45(7), 1097-9 , Biological day-to-day variation and reference change limits of serum cortisol and aldosterone in healthy young men on unrestricted diets.	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 8 Number of females	C_7,8,10
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	C_8,10
Aldosterone	Estimate of Within-subject 27.7 Within-subject calculated CI 24.84 to 31.19 Estimate of Between-subject 91.1 Between-subject calculated CI 78.67 to 107.91	ID: 0428 Meijers WC, Van del Velde AR, Kobold ACM, et al, 2017, Eur J Hearth Failure , 19, 357-65 , Variability of biomarkers in patients with chronic heart failure and healthy controls	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 83 Number of males 79 Number of females 4	C_8,10
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	C_7,8,10,11,13
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	C_4,8,10

Alkaline phosphatase (ALP) bone isoenzyme

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There are : 8 Records

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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	C_8,10,12
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	C_8,10,12
Alkaline phosphatase (ALP) bone isoenzyme	Estimate of Within-subject 4.9 Within-subject calculated CI 3.67 to 7.17 Estimate of Between-subject 41.4 Between-subject calculated CI 25.78 to 101.66	ID: 0172 Blomshon A, Hannon RA, Al-Dehaimi AW and Eastell R, 1995, XXIV European Symposium on Calcified Tissues, , , Short-term intraindividual variability of markers of bone turnover in healthy adults	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5	C_{5,7,8,10,12,13}
Alkaline phosphatase (ALP) bone isoenzyme	Estimate of Within-subject 3.5 Within-subject calculated CI 1.71 to 5.68 Estimate of Between-subject 35.9 Between-subject calculated CI 22.36 to 88.15	ID: 0172 Blomshon A, Hannon RA, Al-Dehaimi AW and Eastell R, 1995, XXIV European Symposium on Calcified Tissues, , , Short-term intraindividual variability of markers of bone turnover in healthy adults	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5	C_{5,7,8,10,12,13}
Alkaline phosphatase (ALP) bone isoenzyme	Estimate of Within-subject 9.0 Within-subject calculated CI 8.03 to 9.99 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0067 Hannon R, Blumsohn A, Naylor K, Eastell R., 1998, J Bone Mineral Res, 13, 1124-33 , Response of biochemical markers of bone turnover to hormone replacement therapy: impact of biological variability	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11	C₁₀
Alkaline phosphatase (ALP) bone isoenzyme	Estimate of Within-subject 5.7 Within-subject calculated CI 3.99 to 9.08 Estimate of Between-subject 42.8 Between-subject calculated CI 26.62 to 105.18	ID: 0124 Panteghini M and Pagani F, 1995, Scand J Clin Lab Invest, 55, 609-16 , Biological variation in bone-derived biochemical markers in serum	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5	C_8,10,13
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	C_8,10,13
Alkaline phosphatase (ALP) bone isoenzyme	Estimate of Within-subject 6.6 Within-subject calculated CI 5.15 to 8.97 Estimate of Between-subject 35.6 Between-subject calculated CI 0.00 to 62.67	ID: 0124 Panteghini M and Pagani F, 1995, Scand J Clin Lab Invest, 55, 609-16 , Biological variation in bone-derived biochemical markers in serum	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 5 Number of females 5	C_8,10,13

Alkaline phosphatase (ALP), liver type

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There are : 35 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	C_8,10,12
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	C_8,10,12
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	C_10,13
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	C_4,8,10,13
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	C_4,5,8,10,13
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	C_4,5,8,10,13
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	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
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	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject 5.0 Within-subject calculated CI 4.56 to 5.50 Estimate of Between-subject 25.4 Between-subject calculated CI 20.46 to 33.46	ID: 0324 Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 33 Number of males 33 Number of females	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0298 Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females	D₄
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0027 Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126	D₄
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0297 Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni”	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females	D₄
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0049 Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13	D₄
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject 5.83 Within-subject calculated CI 5.16 to 6.69 Estimate of Between-subject Between-subject calculated CI to	ID: 0377 Gardham C, Stevens PE, Delaney MP, LeRoux M, Coleman A and Lamb E, 2010, CliniJ Am Soc Nephrol, 5, 1261-7 , Variability of Parathyroid hormone ond other markers of bone mineral metabolism in patients receiving hemodialysis	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 4 Number of females 8	C₁₀
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0064 Gowans EMS, Fraser G., 1987, Clin Chem, 33, 717 , Longer-term biological vari ation of commonly analyzed serum constituent	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 7 Number of females 8	D₄
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0071 Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 0 Number of females 14	D₄
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0073 Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 17 Number of males 8 Number of females 9	D₄
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject 8.1 Within-subject calculated CI 7.55 to 8.72 Estimate of Between-subject Between-subject calculated CI to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 422 Number of males Number of females 422	C_5,7,10
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject 8.1 Within-subject calculated CI 7.54 to 8.74 Estimate of Between-subject Between-subject calculated CI to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 406 Number of males 406 Number of females	C_5,7,10
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject 8.1 Within-subject calculated CI 7.70 to 8.54 Estimate of Between-subject Between-subject calculated CI to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 828 Number of males Number of females	C_5,7,10
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0270 Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1950 Number of males 1950 Number of females	D₄
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0271 Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 640 Number of males 256 Number of females 384	D₄
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject 6.0 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	C_8,10
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	C_8,10
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	C_8,10
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0130 Pickup JF, Harris EK, Kearns M and Brown SS, 1977, Clin Chem, 23, 842-50 , Intra-individual variation of some serum constituents and its relevance to population-based reference ranges	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 37 Number of males 37 Number of females	D₄
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject 7.3 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	C_8,13
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	C_8,13
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	C_8,13
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject 5.9 Within-subject calculated CI 3.44 to 7.17 Estimate of Between-subject 21.4 Between-subject calculated CI 17.95 to 26.39	ID: 0246 Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 56 Number of males 56 Number of females	C_8,13
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0266 Statland BE, Winkel P and Bokelund H, 1973, Clin Chem, 19, 1374-9 , Factors contributing to intra-individual variation of serum constituents: 1. within-day variation of serum constituents in healthy subjects	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females	D₄
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0165 Williams GZ, Widdowson GM and Penton J, 1978, Clin Chem, 24, 313-20 , Individual Character of Variation in Time-Series Studies of Healthy People II. Differences in Values for Clinical Chemical Analytes in Serum among Demographic Groups by Age and Sex	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1105 Number of males 628 Number of females 477	D₄
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0276 Winkel P and Statland BE, 1976, Clin Chem, 22, 1855-61 , Correlation of selected serum constituents:2. Consistency of intra-individual correlation values, means and variances during four months	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males Number of females 10	D₄
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0166 Winkel P, Statland BE and Bokelund H, 1974, Clin Chem, 20, 1520-7 , Factors Contributing to Intra-Individual Variation of serum constituents: 5. Short-Term day-to-day and within-hour variation of serum constituents in healthy subjects	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females	D₄
Alkaline phosphatase (ALP), liver type	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0168 Young DS, Harris EK and Cotlove E, 1971, Clin Chem, 17, 403-10 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. IV. Results of a study designed to eliminate long-term analytic deviations.	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 9 Number of females	D₄

Alphafetoprotein

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There are : 2 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
Alphafetoprotein	Estimate of Within-subject 26.67 Within-subject calculated CI 23.81 to 30.30 Estimate of Between-subject 43.65 Between-subject calculated CI 35.39 to 55.92	ID: 0358 Erden G, Barazi AO, Tezcan G and Yildirimkaya MM, 2008, Scand J Clin Lab Invest, 68, 212-8 , Biological variation and reference change vàlues of CA 19-9, CEA, AFP in sèrum of healthy individuals	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 49 Number of males 25 Number of females 24	C_8,10
Alphafetoprotein	Estimate of Within-subject 12.4 Within-subject calculated CI 0.00 to 450.74 Estimate of Between-subject 45.1 Between-subject calculated CI 0.00 to 62.46	ID: 0219 Trapé J, Franquesa J, Sala M, Domenech M, Montesinos J, Catot S, Buxó J, Casado E, Fígols C, Harillo S, Galobart J and Bella M, 2010, Clin Chem Lab Med, 48, 1799-1801 , Determination of biological variation of -fetoprotein and choriogonadotropin ( chain) in disease-free patients with testicular cancer	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 28 Number of males 28 Number of females	C_{3,5,7,8,10,11,12,13}

Amylase

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There are : 15 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
Amylase	Estimate of Within-subject 5.1 Within-subject calculated CI 0.00 to 7.01 Estimate of Between-subject 24.9 Between-subject calculated CI 18.11 to 39.44	ID: 0248 Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16	C_10,12
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	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
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	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Amylase	Estimate of Within-subject 6.8 Within-subject calculated CI 6.46 to 7.18 Estimate of Between-subject 30.4 Between-subject calculated CI 26.49 to 35.66	ID: 0324 Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 89 Number of males 36 Number of females 53	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Amylase	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0298 Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females	D₄
Amylase	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0027 Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126	D₄
Amylase	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0297 Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni”	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females	D₄
Amylase	Estimate of Within-subject 10.8 Within-subject calculated CI 9.91 to 11.86 Estimate of Between-subject 32.1 Between-subject calculated CI 25.29 to 43.81	ID: 0049 Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13	C₁₀
Amylase	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0073 Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 17 Number of males 8 Number of females 9	D₄
Amylase	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0071 Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 0 Number of females 14	D₄
Amylase	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0072 Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females	D₄
Amylase	Estimate of Within-subject 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	C_8,10
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	C_8,10
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 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0266 Statland BE, Winkel P and Bokelund H, 1973, Clin Chem, 19, 1374-9 , Factors contributing to intra-individual variation of serum constituents: 1. within-day variation of serum constituents in healthy subjects	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females	D₄

Androstenedione

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There are : 4 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
Androstenedione	Estimate of Within-subject 20.1 Within-subject calculated CI 15.95 to 26.56 Estimate of Between-subject 26.5 Between-subject calculated CI 15.87 to 60.37	ID: 0137 Ricós C and Arbós MA, 1990, Ann Clin Biochem, 27, 353-8 , Quality goals for hormone testing	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 6 Number of males 6 Number of females	C_4,8,10
Androstenedione	Estimate of Within-subject 11.5 Within-subject calculated CI 9.01 to 14.79 Estimate of Between-subject 51.1 Between-subject calculated CI 34.96 to 93.58	ID: 0137 Ricós C and Arbós MA, 1990, Ann Clin Biochem, 27, 353-8 , Quality goals for hormone testing	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males Number of females 9	C_4,8,10
Androstenedione	Estimate of Within-subject 19.5 Within-subject calculated CI 16.52 to 23.78 Estimate of Between-subject 49.4 Between-subject calculated CI 35.99 to 77.15	ID: 0474 Van der Veen A, van Faassen M, De Jong WHA et al, 2019, Clin Biochem, , , Development and validation of a LC-MS/MS method for the establishment of reference intervals and biological variation for five plasma steroid hormones	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males Number of females 15	B₁₄
Androstenedione	Estimate of Within-subject 18.1 Within-subject calculated CI 15.35 to 22.05 Estimate of Between-subject 32.1 Between-subject calculated CI 23.04 to 50.59	ID: 0474 Van der Veen A, van Faassen M, De Jong WHA et al, 2019, Clin Biochem, , , Development and validation of a LC-MS/MS method for the establishment of reference intervals and biological variation for five plasma steroid hormones	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 15 Number of females	B₁₄

Antimullerian hormone

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There are : 1 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
Antimullerian hormone	Estimate of Within-subject 19.2 Within-subject calculated CI 17.32 to 21.48 Estimate of Between-subject Between-subject calculated CI 15.97 to	ID: 0387 Hadlow NH, Brown SJ, Habbib A et al, 2016, Reproductive Endocrinology, 106(5), 1230-7 , Quantifying the intraindividual variation of antiüllerian hormone in the ovarian cycle	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 41 Number of males Number of females 41	C_8,10,13

Apolipoprotein A1

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There are : 22 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
Apolipoprotein A1	Estimate of Within-subject 10.4 Within-subject calculated CI 3.73 to 13.26 Estimate of Between-subject 15.9 Between-subject calculated CI 12.40 to 20.88	ID: 0013 Brown SA, Boerwinkle E, Kashanian FK, Swanson N and Patsch W, 1990, Clin Chem, 36, 207-10 , Variation in concentrations of lipids, lipoprotein lipids, and apolipoproteins A-I and B in plasma from healthy women	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 44 Number of males Number of females 44	C_8,10,13
Apolipoprotein A1	Estimate of Within-subject 6.5 Within-subject calculated CI 0.00 to 10.43 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0021 Chambless LE, McMahon RP, Brown SA, Patsch W, Heiss G and Shen Y, 1992, Am J Epidem, 0136, 1069-1081 , Short-term intraindividual variability in lipoprotein measurements: the atherosclerosis risk communities (ARIC) study	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males 10 Number of females 12	C_8,10,13
Apolipoprotein A1	Estimate of Within-subject 2.8 Within-subject calculated CI 0.00 to 10.77 Estimate of Between-subject Between-subject calculated CI to	ID: 0021 Chambless LE, McMahon RP, Brown SA, Patsch W, Heiss G and Shen Y, 1992, Am J Epidem, 0136, 1069-1081 , Short-term intraindividual variability in lipoprotein measurements: the atherosclerosis risk communities (ARIC) study	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 18 Number of males 7 Number of females 11	C_8,10,13
Apolipoprotein A1	Estimate of Within-subject 4.6 Within-subject calculated CI 0.00 to 8.74 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0021 Chambless LE, McMahon RP, Brown SA, Patsch W, Heiss G and Shen Y, 1992, Am J Epidem, 0136, 1069-1081 , Short-term intraindividual variability in lipoprotein measurements: the atherosclerosis risk communities (ARIC) study	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 18 Number of males 7 Number of females 11	C_8,10,13
Apolipoprotein A1	Estimate of Within-subject 4.4 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0298 Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females	C_4,8,10,12,13
Apolipoprotein A1	Estimate of Within-subject 4.7 Within-subject calculated CI 4.13 to 5.44 Estimate of Between-subject 8.8 Between-subject calculated CI 6.22 to 14.66	ID: 0044 Ford RP, 1989, Ann Clin Biochem, 26, 281-5 , Essential data derived from biological variation for establishment and use of lipid analyses	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 6 Number of females 6	C_8,10,13
Apolipoprotein A1	Estimate of Within-subject 6.6 Within-subject calculated CI 6.03 to 7.28 Estimate of Between-subject 13.8 Between-subject calculated CI 10.83 to 18.89	ID: 0049 Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13	C₁₀
Apolipoprotein A1	Estimate of Within-subject 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	C_8,10,11,13
Apolipoprotein A1	Estimate of Within-subject 8.8 Within-subject calculated CI 0.00 to 11.84 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0093 Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 26 Number of males Number of females 26	C_8,10,11,13
Apolipoprotein A1	Estimate of Within-subject 5.7 Within-subject calculated CI 0.00 to 8.13 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0093 Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 36 Number of males 36 Number of females	C_8,10,11,13
Apolipoprotein A1	Estimate of Within-subject 7.1 Within-subject calculated CI 5.16 to 8.35 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0093 Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 143 Number of males 79 Number of females 64	C_8,10,11,13
Apolipoprotein A1	Estimate of Within-subject 7.4 Within-subject calculated CI 0.00 to 9.77 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0093 Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 38 Number of males Number of females 38	C_8,10,11,13
Apolipoprotein A1	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject 17.8 Between-subject calculated CI 0.00 to 0.00	ID: 0272 Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10128 Number of males Number of females	C_5,7,10,13
Apolipoprotein A1	Estimate of Within-subject 7.0 Within-subject calculated CI 6.46 to 7.50 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0272 Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1060 Number of males Number of females	C_5,7,10,13
Apolipoprotein A1	Estimate of Within-subject 6.2 Within-subject calculated CI 4.73 to 7.70 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0104 Marcovina SM, Gaur VP and Albers JJ, 1994, Clin Chem, 40, 574-8 , Biological variability of Cholesterol, Triglyceride, Low- and High-density lipoprotein Cholesterol, Lipoprotein(a), and Apolipoproteins A-I and B	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10	C_8,10,13
Apolipoprotein A1	Estimate of Within-subject 8.33 Within-subject calculated CI 6.37 to 10.21 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0107 Mjøs O, Rao S,Bjøru, Henden T, Thelle D,Førde O and Miller N, 1979, Atherosclerosis, 34, 75-81 , A longitudinal study of the biological variability of plasma lipoproteins in healthy young adults	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 17 Number of males 17 Number of females	C_8,10,11,13
Apolipoprotein A1	Estimate of Within-subject 10.2 Within-subject calculated CI 7.29 to 13.09 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0107 Mjøs O, Rao S,Bjøru, Henden T, Thelle D,Førde O and Miller N, 1979, Atherosclerosis, 34, 75-81 , A longitudinal study of the biological variability of plasma lipoproteins in healthy young adults	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11	C_8,10,11,13
Apolipoprotein A1	Estimate of Within-subject 6.4 Within-subject calculated CI 0.00 to 8.50 Estimate of Between-subject 15.3 Between-subject calculated CI 11.74 to 21.66	ID: 0120 Ortolá J, Castiñeiras MJ, Fuentes-Arderiu X., 1992, Clin Chem, 38, 56-9 , Biological variation data applied to the selection of serum lipid ratios used as risk markers of coronary heart disease.	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 23 Number of males 23 Number of females 0	C_8,12,13
Apolipoprotein A1	Estimate of Within-subject 3.6 Within-subject calculated CI 2.85 to 4.72 Estimate of Between-subject 8.0 Between-subject calculated CI 5.45 to 14.25	ID: 0121 Pagani F and Panteghini M, 1993, Clin Biochem, 26, 415-20 , Significance of various parameters derived from biological variability for lipid and lipoprotein analyses	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 4 Number of females 6	B_9,11
Apolipoprotein A1	Estimate of Within-subject 4.1 Within-subject calculated CI 0.00 to 5.82 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0141 Rivera-Coll A, Fuentes-Arderiu X and Díez-Noguera A, 1994, Clin Chem, 40, 1549-53 , Circadian rhythmic variations in serum concentrations of clinically important lipids	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 25 Number of males 13 Number of females 12	C_8,10,13
Apolipoprotein A1	Estimate of Within-subject 6.5 Within-subject calculated CI 0.00 to 9.36 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0164 Wasenius A, Stugaard M, Otterstad JE, Froyshov D, 1990, Scand J Clin Lab Invest, 50, 632-42 , Diurnal and monthly intra-individual variability of the concentration of lipids, lipoproteins and apoproteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 7 Number of females 4	C_8,10,12,13
Apolipoprotein A1	Estimate of Within-subject 9.4 Within-subject calculated CI 0.00 to 13.25 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0164 Wasenius A, Stugaard M, Otterstad JE, Froyshov D, 1990, Scand J Clin Lab Invest, 50, 632-42 , Diurnal and monthly intra-individual variability of the concentration of lipids, lipoproteins and apoproteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 7 Number of females 4	C_8,10,12,13

Apolipoprotein B

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There are : 17 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	C_8,10,13
Apolipoprotein B	Estimate of Within-subject 4.9 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0298 Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females	C_4,8,10,12,13
Apolipoprotein B	Estimate of Within-subject 7.3 Within-subject calculated CI 6.40 to 8.47 Estimate of Between-subject 25.1 Between-subject calculated CI 17.92 to 41.55	ID: 0044 Ford RP, 1989, Ann Clin Biochem, 26, 281-5 , Essential data derived from biological variation for establishment and use of lipid analyses	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 6 Number of females 6	C_8,10,13
Apolipoprotein B	Estimate of Within-subject 8.3 Within-subject calculated CI 7.60 to 9.13 Estimate of Between-subject 25.7 Between-subject calculated CI 20.25 to 35.07	ID: 0049 Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13	C₁₀
Apolipoprotein B	Estimate of Within-subject 6.4 Within-subject calculated CI 5.75 to 7.08 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0093 Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 143 Number of males 79 Number of females 64	C_8,10,11,13
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	C_8,10,11,13
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	C_8,10,11,13
Apolipoprotein B	Estimate of Within-subject 7.4 Within-subject calculated CI 0.00 to 10.22 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0093 Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 36 Number of males 36 Number of females	C_8,10,11,13
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	C_8,10,11,13
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	C_5,7,10,13
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	C_5,7,10,13
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	C_8,10,13
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	C_8,12,13
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	B_9,11
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	C_8,10,13
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	C_8,10,12,13
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	C_8,10,12,13

Aspartate transaminase (AST)

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There are : 29 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	C_10,13
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	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
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	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Aspartate transaminase (AST)	Estimate of Within-subject 10.3 Within-subject calculated CI 9.42 to 11.31 Estimate of Between-subject 14.7 Between-subject calculated CI 11.82 to 19.17	ID: 0324 Carobene A, Roraas T, Solvik UO, Sylte MS, Sandberg S, Guerra E, Marino I, Jonker N, Barla G, Barlett WA, Fernández-Calle P, Díaz-Garzón J, Tosato F, Plebani M, Coskun A, Serteser M, Unsal I and Ceriotti F, 2017, Clin Chem, 63, 1141-50 , Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Aspartate transaminase (AST)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0298 Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females	D₄
Aspartate transaminase (AST)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0027 Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126	D₄
Aspartate transaminase (AST)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0297 Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni”	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females	D₄
Aspartate transaminase (AST)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0069 Harris EK, Kanofsky P, Shakarji G and Cotlove E, 1970, Clin Chem, 16, 1022-7 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 68 Number of males Number of females	D₄
Aspartate transaminase (AST)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0071 Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 0 Number of females 14	D₄
Aspartate transaminase (AST)	Estimate of Within-subject 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	C_4,8,13
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	C_4,8,13
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	C_4,8,13
Aspartate transaminase (AST)	Estimate of Within-subject 14.5 Within-subject calculated CI 12.39 to 17.36 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0072 Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11	C_4,8,13
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	C_4,8,10
Aspartate transaminase (AST)	Estimate of Within-subject 5.14 Within-subject calculated CI 3.67 to 7.63 Estimate of Between-subject 13.23 Between-subject calculated CI 7.31 to 49.83	ID: 0277 Horder M and Bowers GN, 1977, Clin Chem, 23, 551-4 , Biological variability in aspartate aminotransferase activity in serum of healthy persons, and effect of in vitro supplementation with pyridoxal 5-phosphate	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 3 Number of males 3 Number of females	C_4,8,10
Aspartate transaminase (AST)	Estimate of Within-subject 15.5 Within-subject calculated CI 14.74 to 16.33 Estimate of Between-subject Between-subject calculated CI to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 795 Number of males Number of females	C_5,7,10
Aspartate transaminase (AST)	Estimate of Within-subject 14.8 Within-subject calculated CI 13.82 to 15.92 Estimate of Between-subject Between-subject calculated CI to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 419 Number of males Number of females 419	C_5,7,10
Aspartate transaminase (AST)	Estimate of Within-subject 16.0 Within-subject calculated CI 14.89 to 17.27 Estimate of Between-subject Between-subject calculated CI to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 376 Number of males 376 Number of females	C_5,7,10
Aspartate transaminase (AST)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0270 Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1806 Number of males 1806 Number of females	D₄
Aspartate transaminase (AST)	Estimate of Within-subject 13.2 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	C_8,13
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	C_8,13
Aspartate transaminase (AST)	Estimate of Within-subject 18.3 Within-subject calculated CI 16.56 to 20.41 Estimate of Between-subject 26.2 Between-subject calculated CI 21.78 to 32.30	ID: 0246 Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 64	C_8,13
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 62	C_8,13
Aspartate transaminase (AST)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0266 Statland BE, Winkel P and Bokelund H, 1973, Clin Chem, 19, 1374-9 , Factors contributing to intra-individual variation of serum constituents: 1. within-day variation of serum constituents in healthy subjects	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females	D₄
Aspartate transaminase (AST)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0291 Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 787 Number of males Number of females	D₄
Aspartate transaminase (AST)	Estimate of Within-subject 21.4 Within-subject calculated CI 0.00 to 37.57 Estimate of Between-subject 30.7 Between-subject calculated CI 19.26 to 39.70	ID: 0165 Williams GZ, Widdowson GM and Penton J, 1978, Clin Chem, 24, 313-20 , Individual Character of Variation in Time-Series Studies of Healthy People II. Differences in Values for Clinical Chemical Analytes in Serum among Demographic Groups by Age and Sex	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1105 Number of males 628 Number of females 477	D₄
Aspartate transaminase (AST)	Estimate of Within-subject 8.8 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0276 Winkel P and Statland BE, 1976, Clin Chem, 22, 1855-61 , Correlation of selected serum constituents:2. Consistency of intra-individual correlation values, means and variances during four months	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males Number of females 10	D₄
Aspartate transaminase (AST)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0166 Winkel P, Statland BE and Bokelund H, 1974, Clin Chem, 20, 1520-7 , Factors Contributing to Intra-Individual Variation of serum constituents: 5. Short-Term day-to-day and within-hour variation of serum constituents in healthy subjects	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females	D₄
Aspartate transaminase (AST)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0168 Young DS, Harris EK and Cotlove E, 1971, Clin Chem, 17, 403-10 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. IV. Results of a study designed to eliminate long-term analytic deviations.	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 9 Number of females	D₄

b-2 microglobulin

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There are : 6 Records

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Analyte	Estimates	Reference	Study Group	Score
b-2 microglobulin	Estimate of Within-subject 4.0 Within-subject calculated CI 3.77 to 4.25 Estimate of Between-subject 11.2 Between-subject calculated CI 9.75 to 13.14	ID: 0483 Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
b-2 microglobulin	Estimate of Within-subject 4.2 Within-subject calculated CI 3.89 to 4.55 Estimate of Between-subject 12.1 Between-subject calculated CI 10.12 to 15.01	ID: 0483 Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males 53 Number of females	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
b-2 microglobulin	Estimate of Within-subject 3.8 Within-subject calculated CI 3.47 to 4.18 Estimate of Between-subject 9.4 Between-subject calculated CI 7.62 to 12.21	ID: 0483 Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
b-2 microglobulin	Estimate of Within-subject 5.9 Within-subject calculated CI 5.23 to 6.70 Estimate of Between-subject 15.5 Between-subject calculated CI 11.71 to 22.74	ID: 0024 Clark GH, Fraser CG. , 1993, Ann Clin Biochem, 30, 373-76 , Biological variation of acute phase proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 19 Number of males 9 Number of females 10	C_8,10,12,13
b-2 microglobulin	Estimate of Within-subject 2.9 Within-subject calculated CI 2.19 to 3.74 Estimate of Between-subject Between-subject calculated CI to	ID: 0264 Franzini C, Scapellato G and Vanoni G, 1993, Biochim Clin, 17, 315-9 , Variabilità bologica ed analitica della anti-streptolisina O e di proteine della fase acuta del siero	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 4 Number of females 8	C_7,10
b-2 microglobulin	Estimate of Within-subject 8.4 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0309 Selvin E, Juraschek SP, Eckfeldt J, Levey AS, Inker LA and Coresh J, 2013, Am J Kidney Dis, 61, 716-22 , Within-person variability in kidney measures	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 400 Number of males Number of females	C_5,6,7,10

Base excess

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There are : 1 Records

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Analyte	Estimates	Reference	Study Group	Score
Base excess	Estimate of Within-subject 76.4 Within-subject calculated CI 65.85 to 89.30 Estimate of Between-subject 43.2 Between-subject calculated CI 25.46 to 75.40	ID: 68 Harding PJ, Fraser CG, 1987, Clin Chem , 33, 1416-8 , Biological variation of blood acid-base status: consequences for analytical goal-setting and interpretation of results	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 9 Number of females 5	C_7,8,10

Basophils

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There are : 18 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
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	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
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	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
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	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
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	C_2,7,8,10,13
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	C_2,7,8,10,13
Basophils	Estimate of Within-subject 8.8 Within-subject calculated CI 5.55 to 11.27 Estimate of Between-subject 32.2 Between-subject calculated CI 24.39 to 47.17	ID: 0304 Hilderink JM, Kilinkenberg LJJ, Aakre KM, de Wit NCJ, Henskens YMC, van der Linden N et al, 2017, Clin Chem Lab Med, 55, 1013-24 , Within-day biological variation and hour-to-hour reference change values for hematological parameters	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 24 Number of males 19 Number of females 5	C₇
Basophils	Estimate of Within-subject 9.8 Within-subject calculated CI 0.00 to 14.14 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0154 Statland BE, Winkel P, Harris SC, Burdsall MJ, Saunders AM, 1977, Am J Clin Pathol, 69, 48-54 , Evaluation of biological sources of variation of leukocyte counts and other hematologic quantities using very precise automated analyzers	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10	C_7,8,10,13
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	C_7,8,10,13
Basophils	Estimate of Within-subject 7.4 Within-subject calculated CI 0.00 to 11.02 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0154 Statland BE, Winkel P, Harris SC, Burdsall MJ, Saunders AM, 1977, Am J Clin Pathol, 69, 48-54 , Evaluation of biological sources of variation of leukocyte counts and other hematologic quantities using very precise automated analyzers	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10	C_7,8,10,13
Basophils	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject 137.93 Between-subject calculated CI 0.00 to 0.00	ID: 0291 Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 452 Number of males Number of females	C_7,8,10,12,13
Basophils	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject 143.06 Between-subject calculated CI 0.00 to 0.00	ID: 0291 Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 508 Number of males Number of females 508	C_7,8,10,12,13
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	C_7,8,10,13
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	C_7,8,10,13
Basophils	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject 146.0 Between-subject calculated CI 0.00 to 0.00	ID: 0291 Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 840 Number of males Number of females	C_7,8,10,12,13
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	C_7,8,10,13
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	C_7,8,10,13
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	C_7,8,10,12,13
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	C_10,13

Calcium (Ca)

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There are : 63 Records

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Analyte	Estimates	Reference	Study Group	Score
Calcium (Ca)	Estimate of Within-subject 1.96 Within-subject calculated CI 1.83 to 2.11 Estimate of Between-subject 2.64 Between-subject calculated CI 2.19 to 3.29	ID: 0335 Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Calcium (Ca)	Estimate of Within-subject 1.81 Within-subject calculated CI 1.71 to 1.92 Estimate of Between-subject 2.73 Between-subject calculated CI 2.36 to 3.22	ID: 0335 Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Calcium (Ca)	Estimate of Within-subject 1.74 Within-subject calculated CI 1.60 to 1.90 Estimate of Between-subject 2.57 Between-subject calculated CI 2.07 to 3.35	ID: 0335 Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Calcium (Ca)	Estimate of Within-subject 16.0 Within-subject calculated CI 13.93 to 18.81 Estimate of Between-subject 2.5 Between-subject calculated CI 0.00 to 8.05	ID: 0248 Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16	C₁₀
Calcium (Ca)	Estimate of Within-subject 40.8 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	C_8,10,13
Calcium (Ca)	Estimate of Within-subject 40.1 Within-subject calculated CI 35.58 to 45.93 Estimate of Between-subject 62.8 Between-subject calculated CI 48.96 to 85.43	ID: 0005 Beck Jensen et al. , 1997, Scand J Clin Lab Invest, 57, 351-60 , A single measurement of biochemical markers of bone turnover has limited utility in the individual person.	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females 30	C_8,10,13
Calcium (Ca)	Estimate of Within-subject 54.1 Within-subject calculated CI 48.02 to 61.95 Estimate of Between-subject 58.5 Between-subject calculated CI 44.26 to 81.08	ID: 0005 Beck Jensen et al. , 1997, Scand J Clin Lab Invest, 57, 351-60 , A single measurement of biochemical markers of bone turnover has limited utility in the individual person.	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females 30	C_8,10,13
Calcium (Ca)	Estimate of Within-subject 35.7 Within-subject calculated CI 31.67 to 40.89 Estimate of Between-subject 64.7 Between-subject calculated CI 50.77 to 87.63	ID: 0005 Beck Jensen et al. , 1997, Scand J Clin Lab Invest, 57, 351-60 , A single measurement of biochemical markers of bone turnover has limited utility in the individual person.	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 30 Number of males Number of females 30	C_8,10,13
Calcium (Ca)	Estimate of Within-subject 1.2 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0263 Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males 6 Number of females 7	C_10,12
Calcium (Ca)	Estimate of Within-subject 1.2 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0263 Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 4 Number of females 4	C_10,12
Calcium (Ca)	Estimate of Within-subject 2.1 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0263 Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 4 Number of females 4	C_10,12
Calcium (Ca)	Estimate of Within-subject 2.0 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0263 Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 4 Number of females 4	C_10,12
Calcium (Ca)	Estimate of Within-subject 2.1 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0263 Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 4 Number of females 4	C_10,12
Calcium (Ca)	Estimate of Within-subject 2.0 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0263 Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 4 Number of females 5	C_10,12
Calcium (Ca)	Estimate of Within-subject 2.14 Within-subject calculated CI 1.89 to 2.43 Estimate of Between-subject Between-subject calculated CI to	ID: 0411 Cavalier E, Delanaye P and Moranne O, 2013, Am J Kidney Dis, 61(5), 845-8 , Variability of new bone mineral metabolism markers in patients treated with maintenance hemodialysis: implications for clinical decision making	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 17 Number of males 9 Number of females 8	C_{5,7,8,10,12,13}
Calcium (Ca)	Estimate of Within-subject 1.7 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0298 Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females	C_4,8,10,12,13
Calcium (Ca)	Estimate of Within-subject 1.8 Within-subject calculated CI 1.55 to 2.05 Estimate of Between-subject Between-subject calculated CI to	ID: 0027 Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males 23 Number of females 39	C_4,8,10,13
Calcium (Ca)	Estimate of Within-subject 2.3 Within-subject calculated CI 2.20 to 2.40 Estimate of Between-subject Between-subject calculated CI to	ID: 0027 Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126	C_4,8,10,13
Calcium (Ca)	Estimate of Within-subject 3.8 Within-subject calculated CI 3.22 to 4.49 Estimate of Between-subject 4.7 Between-subject calculated CI 3.77 to 5.90	ID: 0288 Cotlove E, Harris EK and Williams GZ, 1970, Clin Chem, 16, 1028-32 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 68 Number of males 33 Number of females 35	C_8,10,13
Calcium (Ca)	Estimate of Within-subject 1.93 Within-subject calculated CI 1.54 to 2.49 Estimate of Between-subject Between-subject calculated CI to	ID: 0297 Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni”	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females	C_4,8,10,13
Calcium (Ca)	Estimate of Within-subject 1.1 Within-subject calculated CI 0.00 to 1.78 Estimate of Between-subject 3.6 Between-subject calculated CI 2.86 to 4.71	ID: 0037 Eckfeldt J,Chambless Ll and Shen Y, 1994, Arch Pathol Lab Med, 118, 496-500 , Short-term, within-person variability in clinical chemistry test results	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males Number of females	C_8,10,13
Calcium (Ca)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0045 Fraser CG and Hearne CR, 1982, Ann Clin Biochem, 19, 431-4 , Components of variance of some plasma constituents in patiens with myocardial infarction	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 20 Number of males Number of females	C₁₀
Calcium (Ca)	Estimate of Within-subject 2.11 Within-subject calculated CI 1.82 to 2.47 Estimate of Between-subject 5.7 Between-subject calculated CI 3.89 to 10.45	ID: 0046 Fraser CG 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
Calcium (Ca)	Estimate of Within-subject 1.6 Within-subject calculated CI 1.44 to 1.78 Estimate of Between-subject 2.8 Between-subject calculated CI 2.19 to 3.84	ID: 0049 Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13	C₁₀
Calcium (Ca)	Estimate of Within-subject 1.99 Within-subject calculated CI 0.00 to 3.61 Estimate of Between-subject 1.91 Between-subject calculated CI 0.00 to 5.49	ID: 0052 Gallagher SK, Johnson LK, and Milne DB, 1989, Clin Chem, 35, 369-73 , Short-term and long-term variability of indices related to nutritional status. I: Ca, Cu, Fe, Mg, and Zn	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 0 Number of females 5	C_5,7,8,10,13
Calcium (Ca)	Estimate of Within-subject 4.77 Within-subject calculated CI 3.40 to 7.14 Estimate of Between-subject Between-subject calculated CI to	ID: 0052 Gallagher SK, Johnson LK, and Milne DB, 1989, Clin Chem, 35, 369-73 , Short-term and long-term variability of indices related to nutritional status. I: Ca, Cu, Fe, Mg, and Zn	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 0 Number of females 5	C_5,7,8,10,13
Calcium (Ca)	Estimate of Within-subject 1.51 Within-subject calculated CI 0.00 to 3.15 Estimate of Between-subject 2.71 Between-subject calculated CI 1.34 to 7.14	ID: 0052 Gallagher SK, Johnson LK, and Milne DB, 1989, Clin Chem, 35, 369-73 , Short-term and long-term variability of indices related to nutritional status. I: Ca, Cu, Fe, Mg, and Zn	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 0 Number of females 5	C_5,7,8,10,13
Calcium (Ca)	Estimate of Within-subject 3.25 Within-subject calculated CI 2.45 to 4.74 Estimate of Between-subject Between-subject calculated CI to	ID: 0052 Gallagher SK, Johnson LK, and Milne DB, 1989, Clin Chem, 35, 369-73 , Short-term and long-term variability of indices related to nutritional status. I: Ca, Cu, Fe, Mg, and Zn	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 0 Number of females 5	C_5,7,8,10,13
Calcium (Ca)	Estimate of Within-subject 2.9 Within-subject calculated CI 1.36 to 4.73 Estimate of Between-subject 2.62 Between-subject calculated CI 0.68 to 7.35	ID: 0052 Gallagher SK, Johnson LK, and Milne DB, 1989, Clin Chem, 35, 369-73 , Short-term and long-term variability of indices related to nutritional status. I: Ca, Cu, Fe, Mg, and Zn	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males 0 Number of females 5	C_5,7,8,10,13
Calcium (Ca)	Estimate of Within-subject 1.81 Within-subject calculated CI 1.60 to 2.08 Estimate of Between-subject Between-subject calculated CI to	ID: 0377 Gardham C, Stevens PE, Delaney MP, LeRoux M, Coleman A and Lamb E, 2010, CliniJ Am Soc Nephrol, 5, 1261-7 , Variability of Parathyroid hormone ond other markers of bone mineral metabolism in patients receiving hemodialysis	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 4 Number of females 8	C₁₀
Calcium (Ca)	Estimate of Within-subject 2.9 Within-subject calculated CI 2.64 to 3.21 Estimate of Between-subject Between-subject calculated CI to	ID: 0377 Gardham C, Stevens PE, Delaney MP, LeRoux M, Coleman A and Lamb E, 2010, CliniJ Am Soc Nephrol, 5, 1261-7 , Variability of Parathyroid hormone ond other markers of bone mineral metabolism in patients receiving hemodialysis	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 22 Number of males 11 Number of females 11	C₁₀
Calcium (Ca)	Estimate of Within-subject 2.39 Within-subject calculated CI 1.95 to 3.05 Estimate of Between-subject 3.78 Between-subject calculated CI 2.65 to 6.03	ID: 0062 González-Revaldería J., García-Bermejo S., Menchén-Herreros A., and Fernández-Rodriguez E, 1991, Clin Chem, 37, 596 , Towards narrower analytical goals in routine laboratory work	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 5 Number of females 10	C₁₀
Calcium (Ca)	Estimate of Within-subject 2.1 Within-subject calculated CI 1.83 to 2.43 Estimate of Between-subject 1.5 Between-subject calculated CI 0.99 to 2.47	ID: 0064 Gowans EMS, Fraser G., 1987, Clin Chem, 33, 717 , Longer-term biological vari ation of commonly analyzed serum constituent	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 7 Number of females 8	C_8,10,13
Calcium (Ca)	Estimate of Within-subject 1.7 Within-subject calculated CI 1.45 to 1.94 Estimate of Between-subject 2.8 Between-subject calculated CI 2.36 to 3.41	ID: 0069 Harris EK, Kanofsky P, Shakarji G and Cotlove E, 1970, Clin Chem, 16, 1022-7 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 68 Number of males Number of females	C_8,10,13
Calcium (Ca)	Estimate of Within-subject 2.8 Within-subject calculated CI 2.07 to 3.46 Estimate of Between-subject Between-subject calculated CI to	ID: 0073 Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males 0 Number of females 9	C_8,13
Calcium (Ca)	Estimate of Within-subject 1.2 Within-subject calculated CI 0.00 to 1.55 Estimate of Between-subject Between-subject calculated CI to	ID: 0073 Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males Number of females 14	C_8,13
Calcium (Ca)	Estimate of Within-subject 1.6 Within-subject calculated CI 0.20 to 2.04 Estimate of Between-subject Between-subject calculated CI to	ID: 0073 Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females 0	C_8,13
Calcium (Ca)	Estimate of Within-subject 1.3 Within-subject calculated CI 0.00 to 1.77 Estimate of Between-subject Between-subject calculated CI to	ID: 0073 Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 8 Number of males 8 Number of females 0	C_8,13
Calcium (Ca)	Estimate of Within-subject 1.62 Within-subject calculated CI 1.34 to 1.99 Estimate of Between-subject Between-subject calculated CI to	ID: 0074 Hölzel WGE, 1988, Clin Chem, 34, 1485-8 , Influence of hypertension and antihypertensive drugs on the biological intra-individual variation of electrolytes and lipids in serum	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females	C_8,13
Calcium (Ca)	Estimate of Within-subject 2.2 Within-subject calculated CI 2.00 to 2.41 Estimate of Between-subject Between-subject calculated CI to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 408 Number of males Number of females 408	C_5,7,10
Calcium (Ca)	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject 4.7 Between-subject calculated CI 0.00 to 0.00	ID: 0272 Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 16135 Number of males Number of females	C_{5,7,8,10,12,13}
Calcium (Ca)	Estimate of Within-subject 2.3 Within-subject calculated CI 2.16 to 2.45 Estimate of Between-subject Between-subject calculated CI to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 835 Number of males Number of females	C_5,7,10
Calcium (Ca)	Estimate of Within-subject 3.3 Within-subject calculated CI 3.11 to 3.50 Estimate of Between-subject Between-subject calculated CI to	ID: 0272 Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1416 Number of males Number of females	C_{5,7,8,10,12,13}
Calcium (Ca)	Estimate of Within-subject 2.2 Within-subject calculated CI 2.00 to 2.41 Estimate of Between-subject Between-subject calculated CI to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 408 Number of males 408 Number of females	C_5,7,10
Calcium (Ca)	Estimate of Within-subject 1.6 Within-subject calculated CI to Estimate of Between-subject 3.7 Between-subject calculated CI to	ID: 0270 Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1817 Number of males 1817 Number of females	C_{4,5,6,7,10,12,13}
Calcium (Ca)	Estimate of Within-subject 1.7 Within-subject calculated CI to Estimate of Between-subject 3.6 Between-subject calculated CI to	ID: 0270 Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 2801 Number of males Number of females 2801	C_{4,5,6,7,10,12,13}
Calcium (Ca)	Estimate of Within-subject 2.8 Within-subject calculated CI 2.62 to 2.99 Estimate of Between-subject Between-subject calculated CI to	ID: 0271 Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 640 Number of males 256 Number of females 384	C_{4,5,6,7,10,13}
Calcium (Ca)	Estimate of Within-subject 2.0 Within-subject calculated CI 0.30 to 2.62 Estimate of Between-subject 3.57 Between-subject calculated CI 3.06 to 4.16	ID: 0427 Lutsey P, Parrinello CM, Misialek JR et al, 2016, Clin Chem, 12, 1647-53 , Short-term variability of vitamin D-related biomarkers	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 160 Number of males 64 Number of females 96	C_{5,7,8,10,11,13}
Calcium (Ca)	Estimate of Within-subject 1.6 Within-subject calculated CI 0.71 to 2.00 Estimate of Between-subject 3.3 Between-subject calculated CI 2.79 to 3.97	ID: 0428 Meijers WC, Van del Velde AR, Kobold ACM, et al, 2017, Eur J Hearth Failure , 19, 357-65 , Variability of biomarkers in patients with chronic heart failure and healthy controls	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 83 Number of males 79 Number of females 4	C_3,4,8,10
Calcium (Ca)	Estimate of Within-subject 1.7 Within-subject calculated CI 0.00 to 2.18 Estimate of Between-subject 3.2 Between-subject calculated CI 2.46 to 4.42	ID: 0428 Meijers WC, Van del Velde AR, Kobold ACM, et al, 2017, Eur J Hearth Failure , 19, 357-65 , Variability of biomarkers in patients with chronic heart failure and healthy controls	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 28 Number of males 14 Number of females 14	C_3,4,8,10
Calcium (Ca)	Estimate of Within-subject 1.6 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0130 Pickup JF, Harris EK, Kearns M and Brown SS, 1977, Clin Chem, 23, 842-50 , Intra-individual variation of some serum constituents and its relevance to population-based reference ranges	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 37 Number of males 37 Number of females	C₁₀
Calcium (Ca)	Estimate of Within-subject 0.5 Within-subject calculated CI 0.00 to 0.84 Estimate of Between-subject 1.2 Between-subject calculated CI 0.98 to 1.50	ID: 0246 Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males Number of females 62	C_8,13
Calcium (Ca)	Estimate of Within-subject 1.7 Within-subject calculated CI 1.39 to 1.95 Estimate of Between-subject 2.3 Between-subject calculated CI 1.91 to 2.83	ID: 0246 Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 71 Number of females 0	C_8,13
Calcium (Ca)	Estimate of Within-subject 1.7 Within-subject calculated CI 1.39 to 1.95 Estimate of Between-subject 2.3 Between-subject calculated CI 1.91 to 2.83	ID: 0246 Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 71 Number of males 71 Number of females	C_8,13
Calcium (Ca)	Estimate of Within-subject 0.5 Within-subject calculated CI 0.00 to 0.84 Estimate of Between-subject 1.2 Between-subject calculated CI 0.98 to 1.50	ID: 0246 Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males 0 Number of females 62	C_8,13
Calcium (Ca)	Estimate of Within-subject 2.5 Within-subject calculated CI 2.19 to 2.82 Estimate of Between-subject 2.9 Between-subject calculated CI 2.36 to 3.62	ID: 0246 Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males 0 Number of females 64	C_8,13
Calcium (Ca)	Estimate of Within-subject 0.3 Within-subject calculated CI 0.00 to 0.73 Estimate of Between-subject 1.1 Between-subject calculated CI 0.89 to 1.40	ID: 0246 Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 56 Number of males 56 Number of females 0	C_8,13
Calcium (Ca)	Estimate of Within-subject 2.5 Within-subject calculated CI 2.19 to 2.82 Estimate of Between-subject 2.9 Between-subject calculated CI 2.36 to 3.62	ID: 0246 Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 64	C_8,13
Calcium (Ca)	Estimate of Within-subject 0.3 Within-subject calculated CI 0.00 to 0.73 Estimate of Between-subject 1.1 Between-subject calculated CI 0.89 to 1.40	ID: 0246 Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 56 Number of males 56 Number of females	C_8,13
Calcium (Ca)	Estimate of Within-subject 2.5 Within-subject calculated CI 1.70 to 3.76 Estimate of Between-subject 5.02 Between-subject calculated CI 3.34 to 8.80	ID: 0266 Statland BE, Winkel P and Bokelund H, 1973, Clin Chem, 19, 1374-9 , Factors contributing to intra-individual variation of serum constituents: 1. within-day variation of serum constituents in healthy subjects	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females	C_8,13
Calcium (Ca)	Estimate of Within-subject 2.9 Within-subject calculated CI 0.00 to 7.43 Estimate of Between-subject 2.7 Between-subject calculated CI 0.00 to 4.01	ID: 0165 Williams GZ, Widdowson GM and Penton J, 1978, Clin Chem, 24, 313-20 , Individual Character of Variation in Time-Series Studies of Healthy People II. Differences in Values for Clinical Chemical Analytes in Serum among Demographic Groups by Age and Sex	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1105 Number of males 628 Number of females 477	C_8,10,13
Calcium (Ca)	Estimate of Within-subject 0.7 Within-subject calculated CI to Estimate of Between-subject 1.3 Between-subject calculated CI to	ID: 0166 Winkel P, Statland BE and Bokelund H, 1974, Clin Chem, 20, 1520-7 , Factors Contributing to Intra-Individual Variation of serum constituents: 5. Short-Term day-to-day and within-hour variation of serum constituents in healthy subjects	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 11 Number of females	C_8,10,12,13
Calcium (Ca)	Estimate of Within-subject 1.62 Within-subject calculated CI 0.00 to 2.56 Estimate of Between-subject 3.36 Between-subject calculated CI 2.20 to 6.30	ID: 0168 Young DS, Harris EK and Cotlove E, 1971, Clin Chem, 17, 403-10 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. IV. Results of a study designed to eliminate long-term analytic deviations.	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 9 Number of females	C_8,10

Calcium - ionised

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There are : 3 Records

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Analyte	Estimates	Reference	Study Group	Score
Calcium - ionised	Estimate of Within-subject 2.4 Within-subject calculated CI 2.25 to 2.54 Estimate of Between-subject Between-subject calculated CI to	ID: 0272 Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1182 Number of males Number of females	C_{5,7,8,10,12,13}
Calcium - ionised	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject 3.6 Between-subject calculated CI 0.00 to 0.00	ID: 0272 Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14593 Number of males Number of females	C_{5,7,8,10,12,13}
Calcium - ionised	Estimate of Within-subject 2.18 Within-subject calculated CI 1.95 to 2.38 Estimate of Between-subject 1.58 Between-subject calculated CI 1.26 to 2.03	ID: 0182 Valero Politi J, Guinard-Salvá M, González-Alba JM, 2001, Clin Chem Lab Med, 39, 45-9 , Annual rhythmic and non rhythmic biological variation of ionized magnesium and ionized calcium concentrations	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 51 Number of males 16 Number of females 35	C_7,8,10,13

Cancer antigen 125 (CA-125)

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There are : 4 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	B_7,8
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	C_10,12,13
Cancer antigen 125 (CA-125)	Estimate of Within-subject 23.3 Within-subject calculated CI 21.62 to 25.10 Estimate of Between-subject 70.6 Between-subject calculated CI 56.48 to 94.01	ID: 0181 Tuxen MK, Solétormos G, Pertersen PH, Cioler V, Dombernovsky P, 1999, Gynecologic Oncology, 74, 12-22 , Assessment of biological variation and analytic impreciion of CA 125, CEA and TPA in relation to monitoring of ovarian cancer	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 31 Number of males Number of females 31	C₁₀
Cancer antigen 125 (CA-125)	Estimate of Within-subject 20.0 Within-subject calculated CI 18.69 to 21.48 Estimate of Between-subject Between-subject calculated CI to	ID: 0375 Tuxen MK, Sölétormos G, Petersen PH and Dombernowsky P, 2001, Clin Chem Lab Med, 39, 531-8 , Interpretation of sequential measurements of cancer Antigen 125 (CA 125), Carcinoembryonic Antigen (CEA) and Tissue Polypeptide Antigen (TPA) based on analytical imprecision and biological variation in the monitoring of ovarian cancer	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 31 Number of males Number of females 31	C_8,13

Cancer antigen 15-3 (CA 15.3)

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There are : 3 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
Cancer antigen 15-3 (CA 15.3)	Estimate of Within-subject 6.0 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0211 Dittadi R, Peloso L and Gion M, 2008, Ann Clin Biochem, 45, 226-8 , Witin-subject biological variation in disease: the case of tumour markers	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 0 Number of females 12	C_6,10,12
Cancer antigen 15-3 (CA 15.3)	Estimate of Within-subject 17.3 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0211 Dittadi R, Peloso L and Gion M, 2008, Ann Clin Biochem, 45, 226-8 , Witin-subject biological variation in disease: the case of tumour markers	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 21 Number of males 0 Number of females 21	C_6,10,12
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	C_8,12,13

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	C_8,10
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	C_8,10,12,13
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	C_8,10
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	C_5,10,13

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	C_8,10
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

Carbon dioxide (total)

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There are : 1 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
Carbon dioxide (total)	Estimate of Within-subject 4.0 Within-subject calculated CI 3.38 to 4.74 Estimate of Between-subject 4.8 Between-subject calculated CI 3.37 to 7.77	ID: 68 Harding PJ, Fraser CG, 1987, Clin Chem , 33, 1416-8 , Biological variation of blood acid-base status: consequences for analytical goal-setting and interpretation of results	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 9 Number of females 5	C_7,8,10

Carcinoembryonic antigen (CEA)

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There are : 10 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
Carcinoembryonic antigen (CEA)	Estimate of Within-subject 19.3 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0211 Dittadi R, Peloso L and Gion M, 2008, Ann Clin Biochem, 45, 226-8 , Witin-subject biological variation in disease: the case of tumour markers	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males 10 Number of females 12	C_6,10,12
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	C_6,10,12
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	C_8,10
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	C_8,10,12,13
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	C_8,10,12,13
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	C_8,10
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	C_8,12,13
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	C_10,12,13
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	C_8,13

Ceruloplasmin

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There are : 5 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
Ceruloplasmin	Estimate of Within-subject 11.3 Within-subject calculated CI 6.57 to 14.71 Estimate of Between-subject 20.3 Between-subject calculated CI 14.24 to 32.83	ID: 0248 Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 13 Number of females 16	C_10,12
Ceruloplasmin	Estimate of Within-subject 4.84 Within-subject calculated CI 4.43 to 5.32 Estimate of Between-subject 14.2 Between-subject calculated CI 11.47 to 18.58	ID: 0483 Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Ceruloplasmin	Estimate of Within-subject 4.9 Within-subject calculated CI 4.63 to 5.20 Estimate of Between-subject 15.2 Between-subject calculated CI 13.20 to 17.90	ID: 0483 Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Ceruloplasmin	Estimate of Within-subject 4.8 Within-subject calculated CI 4.45 to 5.20 Estimate of Between-subject 12.5 Between-subject calculated CI 10.42 to 15.59	ID: 0483 Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Ceruloplasmin	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0052 Gallagher SK, Johnson LK, and Milne DB, 1989, Clin Chem, 35, 369-73 , Short-term and long-term variability of indices related to nutritional status. I: Ca, Cu, Fe, Mg, and Zn	State Of Wellbeing Healthy (excl pregnant) Number of Subjects Number of males Number of females	D₄

Chloride

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There are : 35 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
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	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Chloride	Estimate of Within-subject 0.99 Within-subject calculated CI 0.92 to 1.06 Estimate of Between-subject 1.35 Between-subject calculated CI 1.12 to 1.68	ID: 0335 Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
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	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
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	C_10,12
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	C_8,10,13
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	C_4,8,10,13
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	C_8,10,13
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	C_8,10,11
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	C_8,10,13
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	C_4,10
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	C_8,10,13
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	C_8,10,13
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	C_8,13
Chloride	Estimate of Within-subject 1.15 Within-subject calculated CI 0.97 to 1.40 Estimate of Between-subject Between-subject calculated CI to	ID: 0074 Hölzel WGE, 1988, Clin Chem, 34, 1485-8 , Influence of hypertension and antihypertensive drugs on the biological intra-individual variation of electrolytes and lipids in serum	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females	C_8,13
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	C_8,13
Chloride	Estimate of Within-subject 1.8 Within-subject calculated CI 1.41 to 2.24 Estimate of Between-subject Between-subject calculated CI to	ID: 0073 Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 8 Number of males 8 Number of females 0	C_8,13
Chloride	Estimate of Within-subject 0.6 Within-subject calculated CI 0.49 to 0.73 Estimate of Between-subject Between-subject calculated CI to	ID: 0074 Hölzel WGE, 1988, Clin Chem, 34, 1485-8 , Influence of hypertension and antihypertensive drugs on the biological intra-individual variation of electrolytes and lipids in serum	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 14 Number of males 14 Number of females	C_8,13
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	C_8,13
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	C_8,13
Chloride	Estimate of Within-subject 1.7 Within-subject calculated CI 1.35 to 2.09 Estimate of Between-subject Between-subject calculated CI to	ID: 0073 Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 9 Number of males 0 Number of females 9	C_8,13
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 2901 Number of males Number of females 2901	C_{4,5,6,7,10,12,13}
Chloride	Estimate of Within-subject 1.1 Within-subject calculated CI to Estimate of Between-subject 1.9 Between-subject calculated CI 0.00 to	ID: 0270 Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1882 Number of males 1882 Number of females	C_{4,5,6,7,10,12,13}
Chloride	Estimate of Within-subject 1.8 Within-subject calculated CI 0.00 to 4.77 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0271 Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9356 Number of males Number of females	C_{4,5,6,7,10,13}
Chloride	Estimate of Within-subject 0.8 Within-subject calculated CI 0.00 to 1.07 Estimate of Between-subject 1.3 Between-subject calculated CI 1.06 to 1.63	ID: 0246 Pineda-Tenor D , Laserna-Mendieta EJ, Timon-Zapata J, Rodelgo-Jimenez L, Ramos-Corral R, Recio-Montealegre A and Gomez-Serranillos Reus M, 2013, Clin Chem Lab Med, 51, 851-62 , Biological variation and reference change value of common clinical chemistry and haematologic laboratory analytes in the eldery population	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 64 Number of males Number of females 62	C₈
Chloride	Estimate of Within-subject 1.3 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 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 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 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	C_8,13
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	C_8,10,12,13
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	C_8,10,13

Cholesterol

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There are : 102 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
Cholesterol	Estimate of Within-subject 5.17 Within-subject calculated CI 4.79 to 5.62 Estimate of Between-subject 17.7 Between-subject calculated CI 14.43 to 22.85	ID: 0335 Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Cholesterol	Estimate of Within-subject 4.09 Within-subject calculated CI 3.52 to 4.88 Estimate of Between-subject 14.6 Between-subject calculated CI 9.99 to 26.73	ID: 0335 Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males Number of females 10	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Cholesterol	Estimate of Within-subject 6.11 Within-subject calculated CI 5.69 to 6.60 Estimate of Between-subject 13.4 Between-subject calculated CI 11.01 to 17.05	ID: 0335 Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 43 Number of males Number of females 43	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Cholesterol	Estimate of Within-subject 5.18 Within-subject calculated CI 4.92 to 5.46 Estimate of Between-subject 17.4 Between-subject calculated CI 15.16 to 20.40	ID: 0335 Aarsand AK, Diaz-Garzón J, Fernández-Calle P, et al, 2018, Clin Chem, 64(9), 1380-93 , The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Cholesterol	Estimate of Within-subject 6.4 Within-subject calculated CI 5.48 to 7.61 Estimate of Between-subject 13.0 Between-subject calculated CI 9.44 to 20.34	ID: 0232 Alexander KS, Kazmierczak SC, Snyder CK, Oberdorf JA and Farrell DH, 2013, Clin Chem Lab Med , 51(9), 1875-82 , Prognostic utility of biochemical markers of cardiovascular risk: impact of biological variability	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 6 Number of females 9	C₈
Cholesterol	Estimate of Within-subject 7.6 Within-subject calculated CI 6.80 to 8.59 Estimate of Between-subject 12.1 Between-subject calculated CI 8.80 to 18.92	ID: 0232 Alexander KS, Kazmierczak SC, Snyder CK, Oberdorf JA and Farrell DH, 2013, Clin Chem Lab Med , 51(9), 1875-82 , Prognostic utility of biochemical markers of cardiovascular risk: impact of biological variability	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 15 Number of males 6 Number of females 9	C₈
Cholesterol	Estimate of Within-subject 2.4 Within-subject calculated CI 1.26 to 2.99 Estimate of Between-subject 15.7 Between-subject calculated CI 12.47 to 21.14	ID: 0248 Bailey D, Bevilacqua V, Colantonio DA, Pasic MD, Perumal N, Chan MK and Adeli K, 2014, Clin Chem, 60, 518-29 , Pediatric within-day biological variation and quality spcifications for 38 biochemical markers in the CALIPER cohort	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 29 Number of males 14 Number of females 15	C_10,12
Cholesterol	Estimate of Within-subject 4.8 Within-subject calculated CI 4.15 to 5.61 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0008 Bookstein MS, Gidding S, Donovan M and Smith F, 1990, Arch Intern Med, 150, 1653-7 , Day-to-day variability of serum cholesterol, trigliceryde, and high-density lipoprotein cholesterol levels	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 51 Number of males 18 Number of females 33	C_8,10,13
Cholesterol	Estimate of Within-subject 8.2 Within-subject calculated CI 6.93 to 9.74 Estimate of Between-subject 12.55 Between-subject calculated CI 9.98 to 16.30	ID: 0013 Brown SA, Boerwinkle E, Kashanian FK, Swanson N and Patsch W, 1990, Clin Chem, 36, 207-10 , Variation in concentrations of lipids, lipoprotein lipids, and apolipoproteins A-I and B in plasma from healthy women	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 44 Number of males Number of females 44	C_8,10,13
Cholesterol	Estimate of Within-subject 8.1 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0263 Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 4 Number of females 4	C_10,12
Cholesterol	Estimate of Within-subject 4.4 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0263 Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males 6 Number of females 7	C_10,12
Cholesterol	Estimate of Within-subject 5.2 Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0263 Carobene A, Graziani MS, Lo Cascio C, Tretti L, Cremonese E, Yabarek T, Gambaro G and Ceriotti F., 2012, Clin Chem Lab Med, 50, 841-4 , Age dependence of within-subject biological variation of nine common clinical chemistry analytes	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 9 Number of males 5 Number of females 4	C_10,12
Cholesterol	Estimate of Within-subject 3.1 Within-subject calculated CI 2.11 to 4.38 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0021 Chambless LE, McMahon RP, Brown SA, Patsch W, Heiss G and Shen Y, 1992, Am J Epidem, 0136, 1069-1081 , Short-term intraindividual variability in lipoprotein measurements: the atherosclerosis risk communities (ARIC) study	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 18 Number of males 7 Number of females 11	C_8,10,13
Cholesterol	Estimate of Within-subject 5.6 Within-subject calculated CI 4.43 to 7.29 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0021 Chambless LE, McMahon RP, Brown SA, Patsch W, Heiss G and Shen Y, 1992, Am J Epidem, 0136, 1069-1081 , Short-term intraindividual variability in lipoprotein measurements: the atherosclerosis risk communities (ARIC) study	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 22 Number of males 10 Number of females 12	C_8,10,13
Cholesterol	Estimate of Within-subject 5.5 Within-subject calculated CI 4.66 to 6.64 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0298 Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females	C_4,5,8,10,12
Cholesterol	Estimate of Within-subject 7.8 Within-subject calculated CI 7.00 to 8.65 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0023 Choudhury N, Lyons Wall PM and Stewart Truswell A, 1994, Clin Chem, 40, 710-5 , Effect of time between measurements on within-subject variability for total cholesterol and high-density lipoprotein cholesterol in women	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 13 Number of males Number of females 13	C_8,10,12,13
Cholesterol	Estimate of Within-subject 5.4 Within-subject calculated CI 4.43 to 6.87 Estimate of Between-subject 28.9 Between-subject calculated CI 20.40 to 49.18	ID: 0255 Corte Z and Venta R, 2014, Rev Lab Clin, 7, 88-95 , Variación biológica de lípids y lipoproteinas séricas en indivíduos sanos y pacientes con enfermedad renal crónica terminal	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males 3 Number of females 8	B₈
Cholesterol	Estimate of Within-subject 7.0 Within-subject calculated CI 6.01 to 8.38 Estimate of Between-subject 39.6 Between-subject calculated CI 29.85 to 58.66	ID: 0255 Corte Z and Venta R, 2014, Rev Lab Clin, 7, 88-95 , Variación biológica de lípids y lipoproteinas séricas en indivíduos sanos y pacientes con enfermedad renal crónica terminal	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 18 Number of males 7 Number of females 11	B₈
Cholesterol	Estimate of Within-subject 6.5 Within-subject calculated CI 6.24 to 6.77 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0027 Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126	C_4,8,10,13
Cholesterol	Estimate of Within-subject 2.8 Within-subject calculated CI 2.14 to 3.27 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0027 Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 62 Number of males 23 Number of females 39	C_4,8,10,13
Cholesterol	Estimate of Within-subject 7.7 Within-subject calculated CI 6.12 to 10.19 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0032 Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5	C_8,10,13
Cholesterol	Estimate of Within-subject 3.6 Within-subject calculated CI 1.80 to 6.50 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0032 Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 4 Number of males Number of females 4	C_8,10,13
Cholesterol	Estimate of Within-subject 2.5 Within-subject calculated CI 1.54 to 3.56 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0032 Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 14 Number of females	C_8,10,13
Cholesterol	Estimate of Within-subject 6.2 Within-subject calculated CI 5.10 to 7.76 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0032 Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5	C_8,10,13
Cholesterol	Estimate of Within-subject 6.1 Within-subject calculated CI 5.41 to 6.95 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0032 Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 14 Number of females	C_8,10,13
Cholesterol	Estimate of Within-subject 7.3 Within-subject calculated CI 6.22 to 8.76 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0032 Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 7 Number of males Number of females 7	C_8,10,13
Cholesterol	Estimate of Within-subject 4.8 Within-subject calculated CI 4.14 to 5.62 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0032 Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 17 Number of males 17 Number of females	C_8,10,13
Cholesterol	Estimate of Within-subject 6.8 Within-subject calculated CI 5.56 to 8.61 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0032 Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 7 Number of males Number of females 7	C_8,10,13
Cholesterol	Estimate of Within-subject 1.5 Within-subject calculated CI 0.00 to 3.64 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0032 Demacker PNM, Schade RWB, Jansen RTP and Van't Laar A, 1982, Atherosclerosis, 45, 259-66 , Intra-individual variation of serum cholesterol, triglycerides and high density lipoprotein cholesterol in normal humans	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 4 Number of males Number of females 4	C_8,10,13
Cholesterol	Estimate of Within-subject 5.83 Within-subject calculated CI 4.80 to 7.39 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0297 Dimitri G, Bolner A and Gheller A, 1992, Biochim Clin, 16, 401-3 , Variabilità biologica ed analitica e differenza critica di 21 analiti “comuni”	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females	C_4,8,10,13
Cholesterol	Estimate of Within-subject 4.9 Within-subject calculated CI 4.24 to 5.74 Estimate of Between-subject 17.3 Between-subject calculated CI 12.35 to 28.64	ID: 0044 Ford RP, 1989, Ann Clin Biochem, 26, 281-5 , Essential data derived from biological variation for establishment and use of lipid analyses	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 6 Number of females 6	C_8,10,13
Cholesterol	Estimate of Within-subject 5.8 Within-subject calculated CI 5.30 to 6.40 Estimate of Between-subject 11.0 Between-subject calculated CI 8.62 to 15.07	ID: 0049 Fraser CG., Cummings ST., Wilkinson SP., Neville RG., Knox JDE, Ho O and MacWalter RS, 1989, Clin Chem, 35, 783-6 , Biological variability of 26 clinical chemistry analytes in elderly people	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 27 Number of males 14 Number of females 13	C₁₀
Cholesterol	Estimate of Within-subject 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	C_10,13
Cholesterol	Estimate of Within-subject 8.4 Within-subject calculated CI 7.82 to 9.00 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0050 Friedlander Y, Kark JD and Stein Y, 1985, Clin Chem, 31, 1121-6 , Variability of plasma lipids and lipoproteins: the Jerusalem Lipid Research Clinic Study	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 656 Number of males 656 Number of females	C_10,13
Cholesterol	Estimate of Within-subject 8.8 Within-subject calculated CI 8.16 to 9.46 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0050 Friedlander Y, Kark JD and Stein Y, 1985, Clin Chem, 31, 1121-6 , Variability of plasma lipids and lipoproteins: the Jerusalem Lipid Research Clinic Study	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 571 Number of males Number of females 571	C_10,13
Cholesterol	Estimate of Within-subject 8.0 Within-subject calculated CI 7.33 to 8.68 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0050 Friedlander Y, Kark JD and Stein Y, 1985, Clin Chem, 31, 1121-6 , Variability of plasma lipids and lipoproteins: the Jerusalem Lipid Research Clinic Study	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 489 Number of males Number of females 489	C_10,13
Cholesterol	Estimate of Within-subject 8.3 Within-subject calculated CI 7.62 to 9.01 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0050 Friedlander Y, Kark JD and Stein Y, 1985, Clin Chem, 31, 1121-6 , Variability of plasma lipids and lipoproteins: the Jerusalem Lipid Research Clinic Study	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 478 Number of males 478 Number of females	C_10,13
Cholesterol	Estimate of Within-subject 8.7 Within-subject calculated CI 8.07 to 9.35 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0050 Friedlander Y, Kark JD and Stein Y, 1985, Clin Chem, 31, 1121-6 , Variability of plasma lipids and lipoproteins: the Jerusalem Lipid Research Clinic Study	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 583 Number of males 583 Number of females	C_10,13
Cholesterol	Estimate of Within-subject 3.7 Within-subject calculated CI 1.08 to 6.22 Estimate of Between-subject 10.2 Between-subject calculated CI 6.12 to 25.47	ID: 0053 Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5	C₈
Cholesterol	Estimate of Within-subject 2.4 Within-subject calculated CI 0.00 to 6.42 Estimate of Between-subject 19.1 Between-subject calculated CI 11.75 to 47.18	ID: 0053 Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5	C₈
Cholesterol	Estimate of Within-subject 9.2 Within-subject calculated CI 6.46 to 13.87 Estimate of Between-subject 17.5 Between-subject calculated CI 10.29 to 44.05	ID: 0053 Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5	C₈
Cholesterol	Estimate of Within-subject 7.9 Within-subject calculated CI 5.70 to 11.78 Estimate of Between-subject 17.6 Between-subject calculated CI 0.00 to 43.97	ID: 0053 Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5	C₈
Cholesterol	Estimate of Within-subject 8.3 Within-subject calculated CI 5.32 to 12.85 Estimate of Between-subject 17.4 Between-subject calculated CI 10.30 to 43.69	ID: 0053 Gallagher SK, Johnson AK, Milne DB, 1992, Clin Chem, 38, 1449-53 , Short and long term variability of selected indices related to nutritional status. II. Vitamins, lipids, and protein indices	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 5 Number of males Number of females 5	C₈
Cholesterol	Estimate of Within-subject 5.5 Within-subject calculated CI 4.76 to 6.32 Estimate of Between-subject 5.0 Between-subject calculated CI 3.39 to 8.53	ID: 0173 Garde AH, Hansen AM, Skovgaard LT and Christensen JM, 2000, Clin Chem, 46, 551-9 , Seasonal and biological variation of blood concentrations of total cholesterol, dehydroepiandrosterone sulfate, hemoglobin A1C, IgA, prolactin and free testosterone in healthy women	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12	C₁₀
Cholesterol	Estimate of Within-subject 6.3 Within-subject calculated CI 4.67 to 8.17 Estimate of Between-subject 5.0 Between-subject calculated CI 2.64 to 9.72	ID: 0173 Garde AH, Hansen AM, Skovgaard LT and Christensen JM, 2000, Clin Chem, 46, 551-9 , Seasonal and biological variation of blood concentrations of total cholesterol, dehydroepiandrosterone sulfate, hemoglobin A1C, IgA, prolactin and free testosterone in healthy women	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males Number of females 10	C₁₀
Cholesterol	Estimate of Within-subject 8.7 Within-subject calculated CI 6.91 to 10.06 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0060 Godsland IF, 1985, Ann Clin Biochem, 22, 618-24 , Intra-individual variation: significant changes in parameters of lipid and carbohydrate metabolism in the individual and intra-individual variation in different test populations	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 6 Number of females 4	C_8,10,11,13
Cholesterol	Estimate of Within-subject 4.8 Within-subject calculated CI 4.06 to 5.82 Estimate of Between-subject 19.5 Between-subject calculated CI 14.21 to 30.85	ID: 0403 Hammond J, Wentz P, Statland BE, Phillips JC and Winkel P, 1976, Clin Chim Acta, 73, 347-52 , Daily variation of lipids and hormones in sera of healthy subjects	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 8 Number of females 6	C_8,10
Cholesterol	Estimate of Within-subject 6.4 Within-subject calculated CI 5.61 to 7.35 Estimate of Between-subject 18.3 Between-subject calculated CI 13.33 to 28.96	ID: 0069 Harris EK, Kanofsky P, Shakarji G and Cotlove E, 1970, Clin Chem, 16, 1022-7 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males Number of females 14	C_8,10,13
Cholesterol	Estimate of Within-subject 6.4 Within-subject calculated CI 5.98 to 6.86 Estimate of Between-subject 13.6 Between-subject calculated CI 11.40 to 16.82	ID: 0069 Harris EK, Kanofsky P, Shakarji G and Cotlove E, 1970, Clin Chem, 16, 1022-7 , Biological and analytic components of variation in long-term studies of serum constituents in normal subjects	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 54 Number of males 33 Number of females 21	C_8,10,13
Cholesterol	Estimate of Within-subject 4.4 Within-subject calculated CI 3.81 to 5.17 Estimate of Between-subject Between-subject calculated CI to	ID: 0071 Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males 0 Number of females 14	C_8,13
Cholesterol	Estimate of Within-subject 7.17 Within-subject calculated CI 6.32 to 8.28 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0072 Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 16 Number of males 16 Number of females	C_8,13
Cholesterol	Estimate of Within-subject 6.98 Within-subject calculated CI 6.10 to 8.15 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0074 Hölzel WGE, 1988, Clin Chem, 34, 1485-8 , Influence of hypertension and antihypertensive drugs on the biological intra-individual variation of electrolytes and lipids in serum	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 14 Number of males 14 Number of females	C_8,13
Cholesterol	Estimate of Within-subject 4.79 Within-subject calculated CI 4.06 to 5.79 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0074 Hölzel WGE, 1988, Clin Chem, 34, 1485-8 , Influence of hypertension and antihypertensive drugs on the biological intra-individual variation of electrolytes and lipids in serum	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females	C_8,13
Cholesterol	Estimate of Within-subject 4.69 Within-subject calculated CI 3.98 to 5.67 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0072 Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females	C_8,13
Cholesterol	Estimate of Within-subject 6.0 Within-subject calculated CI 5.20 to 6.94 Estimate of Between-subject Between-subject calculated CI to	ID: 0073 Hölzel WGE, 1987, Clin Chem, 33, 670-3 , Intra-individual variation of some analytes in serum of patients with chronic renal failure	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 17 Number of males 8 Number of females 9	C_8,13
Cholesterol	Estimate of Within-subject 4.37 Within-subject calculated CI 3.79 to 5.13 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0072 Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 14 Number of males Number of females 14	C_8,13
Cholesterol	Estimate of Within-subject 7.47 Within-subject calculated CI 6.43 to 8.90 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0072 Hölzel WGE, 1987, Clin Chem, 33, 57-61 , Intra-individual variation of some analytes in serum of patients with insulin-dependent diabetes mellitus	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11	C_8,13
Cholesterol	Estimate of Within-subject 4.8 Within-subject calculated CI 4.07 to 5.81 Estimate of Between-subject Between-subject calculated CI to	ID: 0071 Hölzel WGE, 1987, Clin Chem, 33, 1133-6 , Intra-individual variation of analytes in serum of patients with chronic liver diseases	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 10 Number of males 10 Number of females 0	C_8,13
Cholesterol	Estimate of Within-subject 4.6 Within-subject calculated CI 3.27 to 5.75 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0093 Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 31 Number of males Number of females 31	C_8,10,11,13
Cholesterol	Estimate of Within-subject 5.0 Within-subject calculated CI 4.48 to 5.55 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0093 Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 128 Number of males 69 Number of females 59	C_8,10,11,13
Cholesterol	Estimate of Within-subject 5.2 Within-subject calculated CI 4.19 to 6.25 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0093 Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 42 Number of males 42 Number of females	C_8,10,11,13
Cholesterol	Estimate of Within-subject 5.2 Within-subject calculated CI 3.80 to 6.56 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0093 Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 27 Number of males 27 Number of females	C_8,10,11,13
Cholesterol	Estimate of Within-subject 5.9 Within-subject calculated CI 4.56 to 7.37 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0093 Kafonek SD, Derby CA and Bachorik PS, 1992, Clin Chem, 38, 864-72 , Biological variability of lipoproteins and apolipoproteins in patients referred to a lipid clinic	State Of Wellbeing Non-healthy (excl pregnant) Number of Subjects 28 Number of males Number of females 28	C_8,10,11,13
Cholesterol	Estimate of Within-subject 5.1 Within-subject calculated CI 4.54 to 5.77 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0094 Kafonek SD, Donovan L, Lovejoy KL and Bachorik PS, 1996, Clin Chem, 42, 2002-7 , Biological variation of lipids and lipoproteins in fingerstick blood	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 83 Number of males 17 Number of females 66	C_8,10,11,13
Cholesterol	Estimate of Within-subject 5.2 Within-subject calculated CI 4.63 to 5.88 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0094 Kafonek SD, Donovan L, Lovejoy KL and Bachorik PS, 1996, Clin Chem, 42, 2002-7 , Biological variation of lipids and lipoproteins in fingerstick blood	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 83 Number of males 17 Number of females 66	C_8,10,11,13
Cholesterol	Estimate of Within-subject 8.2 Within-subject calculated CI 5.45 to 10.26 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0272 Lacher DA, Hughes JP and Carroll MD, 2005, Clin Chem, 51, 450-2 , Estimate of biological variation of laboratory analytes based on the third National Health and Nutrition Examination Survey	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 2299 Number of males Number of females	C_5,7,10,13
Cholesterol	Estimate of Within-subject 6.9 Within-subject calculated CI 6.57 to 7.26 Estimate of Between-subject Between-subject calculated CI to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 835 Number of males Number of females	C_5,7,10
Cholesterol	Estimate of Within-subject 6.8 Within-subject calculated CI 6.34 to 7.32 Estimate of Between-subject Between-subject calculated CI to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 408 Number of males 408 Number of females	C_5,7,10
Cholesterol	Estimate of Within-subject 6.9 Within-subject calculated CI 6.44 to 7.42 Estimate of Between-subject Between-subject calculated CI to	ID: 0265 Lacher DA, Hughes JP and Carroll MD, 2010, 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 427 Number of males Number of females 427	C_5,7,10
Cholesterol	Estimate of Within-subject 6.3 Within-subject calculated CI to Estimate of Between-subject 20.3 Between-subject calculated CI 0.00 to	ID: 0270 Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 2901 Number of males Number of females 2901	C_{4,5,6,7,10,12,13}
Cholesterol	Estimate of Within-subject 6.4 Within-subject calculated CI to Estimate of Between-subject 19.1 Between-subject calculated CI 0.00 to	ID: 0270 Loh TP and Metz MP, 2015, Am J Clin Pathol, 143, 683-93 , Indirect estimation of pediatric between-individual biological variation data from 22 common serum biochemistries	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 1931 Number of males 1931 Number of females	C_{4,5,6,7,10,12,13}
Cholesterol	Estimate of Within-subject 7.0 Within-subject calculated CI 0.00 to 15.31 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0271 Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 6989 Number of males 2698 Number of females 4291	C_{4,5,6,7,10,13}
Cholesterol	Estimate of Within-subject 3.8 Within-subject calculated CI 3.50 to 4.10 Estimate of Between-subject Between-subject calculated CI to	ID: 0271 Loh TP, Ranieri e and Metz MP, 2014, Am J Clin Pathol, 142, 657-63 , Derivation of pediatric within-individual biological variation by indirect sampling method	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 640 Number of males 256 Number of females 384	C_{4,5,6,7,10,13}
Cholesterol	Estimate of Within-subject 6.2 Within-subject calculated CI 5.37 to 7.12 Estimate of Between-subject 17.9 Between-subject calculated CI 13.35 to 26.94	ID: 0514 Marckmann P, Sandström B, Jespersen J., 1992, Atherosclerosis, 96, 235-44 , The variability of and associations between measures of blood coagulation, fibrinolysis and blood lipids	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 17 Number of males 17 Number of females 0	C_8,10,13
Cholesterol	Estimate of Within-subject 6.7 Within-subject calculated CI 5.68 to 8.17 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0104 Marcovina SM, Gaur VP and Albers JJ, 1994, Clin Chem, 40, 574-8 , Biological variability of Cholesterol, Triglyceride, Low- and High-density lipoprotein Cholesterol, Lipoprotein(a), and Apolipoproteins A-I and B	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 20 Number of males 10 Number of females 10	C_8,10,13
Cholesterol	Estimate of Within-subject 6.7 Within-subject calculated CI 4.41 to 8.63 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0107 Mjøs O, Rao S,Bjøru, Henden T, Thelle D,Førde O and Miller N, 1979, Atherosclerosis, 34, 75-81 , A longitudinal study of the biological variability of plasma lipoproteins in healthy young adults	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11	C_8,10,11,13
Cholesterol	Estimate of Within-subject 7.8 Within-subject calculated CI 6.38 to 9.49 Estimate of Between-subject Between-subject calculated CI 0.00 to	ID: 0107 Mjøs O, Rao S,Bjøru, Henden T, Thelle D,Førde O and Miller N, 1979, Atherosclerosis, 34, 75-81 , A longitudinal study of the biological variability of plasma lipoproteins in healthy young adults	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 17 Number of males 17 Number of females	C_8,10,11,13
Cholesterol	Estimate of Within-subject 7.1 Within-subject calculated CI 4.93 to 8.90 Estimate of Between-subject Between-subject calculated CI 0.00 to	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	C_8,10,13
Cholesterol	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	B_6,7
Cholesterol	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	C_8,12,13
Cholesterol	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	B_9,11
Cholesterol	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	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	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	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	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	C_8,10,13
Cholesterol	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	C_10,13
Cholesterol	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	C_10,13
Cholesterol	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	C_10,13
Cholesterol	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	C_8,10,12,13
Cholesterol	Estimate of Within-subject 2.9 Within-subject calculated CI 2.00 to 4.34 Estimate of Between-subject 31.8 Between-subject calculated CI 22.49 to 54.05	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	C_8,13
Cholesterol	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	C_8,10,12,13
Cholesterol	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	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	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	C_8,10,11,13
Cholesterol	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	C_8,10,11,13
Cholesterol	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	C_8,10,12,13
Cholesterol	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	C_8,10,12,13
Cholesterol	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	C_8,10,13
Cholesterol	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	C_8,10,12,13
Cholesterol	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	C_8,10,12
Cholesterol	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	C_8,10

Chromogranin A

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There are : 4 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
Chromogranin A	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	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	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	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	C_8,10,12,13

Complement 3 (C3)

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There are : 5 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	C_10,12
Complement 3 (C3)	Estimate of Within-subject 4.6 Within-subject calculated CI 4.35 to 4.87 Estimate of Between-subject 15.2 Between-subject calculated CI 13.21 to 17.89	ID: 0483 Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Complement 3 (C3)	Estimate of Within-subject 4.5 Within-subject calculated CI 4.13 to 4.93 Estimate of Between-subject 14.7 Between-subject calculated CI 11.92 to 19.14	ID: 0483 Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Complement 3 (C3)	Estimate of Within-subject 4.7 Within-subject calculated CI 4.37 to 5.07 Estimate of Between-subject 14.8 Between-subject calculated CI 12.35 to 18.44	ID: 0483 Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
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	C_8,10,12,13

Complement 4 (C4)

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There are : 3 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	C_10,12
Complement 4 (C4)	Estimate of Within-subject 6.9 Within-subject calculated CI 6.54 to 7.30 Estimate of Between-subject 24.5 Between-subject calculated CI 21.29 to 28.84	ID: 0483 Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
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	C_8,10,12,13

Cortisol

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There are : 12 Records

Details of Datasets

Analyte	Estimates	Reference	Study Group	Score
Cortisol	Estimate of Within-subject 13.0 Within-subject calculated CI 3.39 to 18.17 Estimate of Between-subject 12.0 Between-subject calculated CI 5.13 to 18.35	ID: 0311 Ahokoski O, Virtanen A, Kairisto V, Scheinin H, Huupponen R, Irjala K, 1999, Clin Chem, 45(7), 1097-9 , Biological day-to-day variation and reference change limits of serum cortisol and aldosterone in healthy young men on unrestricted diets.	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 31 Number of males 31 Number of females	C_7,8,10,13
Cortisol	Estimate of Within-subject 13.0 Within-subject calculated CI 0.00 to 17.45 Estimate of Between-subject 12.0 Between-subject calculated CI 6.63 to 24.90	ID: 0311 Ahokoski O, Virtanen A, Kairisto V, Scheinin H, Huupponen R, Irjala K, 1999, Clin Chem, 45(7), 1097-9 , Biological day-to-day variation and reference change limits of serum cortisol and aldosterone in healthy young men on unrestricted diets.	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 8 Number of males 8 Number of females	C_7,8,10
Cortisol	Estimate of Within-subject 30.4 Within-subject calculated CI 19.31 to 38.66 Estimate of Between-subject 35.3 Between-subject calculated CI 21.62 to 74.56	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 7 Number of males 3 Number of females 4	C_4,7,11,13
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	C_4,7,11,13
Cortisol	Estimate of Within-subject 6.3 Within-subject calculated CI 3.55 to 7.83 Estimate of Between-subject 20.5 Between-subject calculated CI 16.11 to 27.92	ID: 0433 Chiu SK, Collier CP, Clark AF and Wynn-Edwards KE, 2003, Clin Biochem, 36, 211-14 , Salivary cortisol on ROCHE Elecsys immunoassay system: pilot biological variation studies	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 28 Number of males 12 Number of females 16	C_7,11
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	C_7,8,10
Cortisol	Estimate of Within-subject 61.0 Within-subject calculated CI 58.19 to 64.03 Estimate of Between-subject 21.0 Between-subject calculated CI 14.12 to 36.79	ID: 0431 Hansen AM, Garde AH, Skovgaard LT and Chistensen JM, 2001, Clin Chim Acta, 309, 25-35 , Seasonal and biological variation of urinary epinephrine, norepinephrine, and cortisol in healthy women	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12	C_7,8,10,13
Cortisol	Estimate of Within-subject 124.0 Within-subject calculated CI 118.66 to 129.84 Estimate of Between-subject 36.0 Between-subject calculated CI 23.74 to 63.73	ID: 0431 Hansen AM, Garde AH, Skovgaard LT and Chistensen JM, 2001, Clin Chim Acta, 309, 25-35 , Seasonal and biological variation of urinary epinephrine, norepinephrine, and cortisol in healthy women	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12	C_7,8,10,13
Cortisol	Estimate of Within-subject 59.0 Within-subject calculated CI 56.26 to 61.94 Estimate of Between-subject 26.0 Between-subject calculated CI 17.85 to 45.01	ID: 0431 Hansen AM, Garde AH, Skovgaard LT and Chistensen JM, 2001, Clin Chim Acta, 309, 25-35 , Seasonal and biological variation of urinary epinephrine, norepinephrine, and cortisol in healthy women	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females 12	C_7,8,10,13
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	C_7,8,10,13
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	C_4,7,8,10

C-reactive protein (CRP)

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There are : 11 Records

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Analyte	Estimates	Reference	Study Group	Score
C-reactive protein (CRP)	Estimate of Within-subject 19.3 Within-subject calculated CI 15.68 to 24.66 Estimate of Between-subject 125.4 Between-subject calculated CI 91.56 to 198.12	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	C_10,12
C-reactive protein (CRP)	Estimate of Within-subject 28.7 Within-subject calculated CI 26.28 to 31.54 Estimate of Between-subject 96.9 Between-subject calculated CI 78.77 to 125.65	ID: 0483 Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 38 Number of males 38 Number of females	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
C-reactive protein (CRP)	Estimate of Within-subject 29.9 Within-subject calculated CI 27.73 to 32.40 Estimate of Between-subject 80.7 Between-subject calculated CI 67.26 to 100.63	ID: 0483 Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 53 Number of males Number of females 53	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
C-reactive protein (CRP)	Estimate of Within-subject 29.4 Within-subject calculated CI 27.74 to 31.24 Estimate of Between-subject 87.0 Between-subject calculated CI 75.54 to 102.47	ID: 0483 Carobene A, Aarsand AK, Guerra E et al, 2019, Clin Chem, 65 (8), 1031-41 , Within- and Between-Subject Biological Variation Data for 15 Frequently Measured Proteins	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 91 Number of males 38 Number of females 53	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
C-reactive protein (CRP)	Estimate of Within-subject 36.8 Within-subject calculated CI 32.31 to 42.75 Estimate of Between-subject 62.2 Between-subject calculated CI 43.27 to 106.80	ID: 0197 Cho LW, Jayagopal V, Kilpatrick ES and Atkin SL, 2005, Clin Chem, 51, 1905-7 , The biological variation of C-reactive protein in polycystic ovarian syndrome	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 11 Number of males Number of females 11	C_7,8,10,13
C-reactive protein (CRP)	Estimate of Within-subject 63.0 Within-subject calculated CI 56.96 to 70.48 Estimate of Between-subject 76.3 Between-subject calculated CI 56.52 to 113.43	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	C_8,10,12,13
C-reactive protein (CRP)	Estimate of Within-subject 10.6 Within-subject calculated CI 7.02 to 14.86 Estimate of Between-subject Between-subject calculated CI to	ID: 0264 Franzini C, Scapellato G and Vanoni G, 1993, Biochim Clin, 17, 315-9 , Variabilità bologica ed analitica della anti-streptolisina O e di proteine della fase acuta del siero	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males 4 Number of females 8	C_7,10
C-reactive protein (CRP)	Estimate of Within-subject 42.2 Within-subject calculated CI 38.22 to 47.10 Estimate of Between-subject 92.5 Between-subject calculated CI 72.24 to 127.54	ID: 0100 Macy EM, Hayes TE, Tracy RP, 1997, Clin Chem, 43, 52-8 , Variability in the measuraments of C-reactive protein in healthy subjets: implications for reference intervals and epidemiological applications	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 26 Number of males 10 Number of females 16	C_5,10
C-reactive protein (CRP)	Estimate of Within-subject 74.4 Within-subject calculated CI 66.67 to 84.17 Estimate of Between-subject 71.3 Between-subject calculated CI 55.40 to 93.37	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	B_6,7
C-reactive protein (CRP)	Estimate of Within-subject 77.7 Within-subject calculated CI 73.07 to 82.95 Estimate of Between-subject 107.6 Between-subject calculated CI 87.47 to 138.74	ID: 0330 Rudez G, Meiher P, Spronk HMH, Leebeek FWG, Cate HT, Kluft C and de Maat MPM, 2009, J Thromb Hemost, 7, 1247-55 , Biological variation in inflammatory and hemostatic markers	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 40 Number of males 14 Number of females 26	C_7,8,10
C-reactive protein (CRP)	Estimate of Within-subject 49.8 Within-subject calculated CI 45.14 to 55.53 Estimate of Between-subject 94.0 Between-subject calculated CI 73.20 to 129.87	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	C_10,13

C-reactive protein (CRP) - high-sensitive

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There are : 3 Records

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Analyte	Estimates	Reference	Study Group	Score
C-reactive protein (CRP) - high-sensitive	Estimate of Within-subject 58.9 Within-subject calculated CI 53.15 to 66.05 Estimate of Between-subject 77.4 Between-subject calculated CI 55.98 to 121.46	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
C-reactive protein (CRP) - high-sensitive	Estimate of Within-subject 26.87 Within-subject calculated CI 23.34 to 31.66 Estimate of Between-subject 37.91 Between-subject calculated CI 28.07 to 55.54	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	C_7,8,10,13
C-reactive protein (CRP) - high-sensitive	Estimate of Within-subject 54.9 Within-subject calculated CI 45.93 to 68.26 Estimate of Between-subject Between-subject calculated CI to	ID: 0291 Thyagarajan B, Howard AG, Durazo-Arvizu R, Eckfeldt JH, Gellman MD, Kim RS, Liu K, Mendez AJ, Penedo FJ, Talavera GA, Youngblood ME, Zhao L and Sotres-Alvarez D, 2016, Clin Chim Acta, 463, 129-137 , Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 50 Number of males Number of females	C₁₀

Creatine Kinase

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There are : 15 Records

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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	C_10,13
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	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
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	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
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	A_{1,2,3,4,5,6,7,8,9,10,11,12,13,14}
Creatine Kinase	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0298 Chitto G, Fabi A, Franzini C, Galletta G, Leonardi A, Marelli M and Morelli AM, 1994, Biochim Clin, 18, 673-690 , Variabilità biologica intra-individuo: rassegna della letteratura, contributo sperimentale e considerazioni critiche	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 12 Number of males Number of females	D₄
Creatine Kinase	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	ID: 0027 Costongs GMPJ, Janson PCW and Bas BM, 1985, J Clin Chem Clin Biochem, 23, 7-16 , Short-term and long-term intra-individual variations and critical differences of clinical chemical laboratory parameters	State Of Wellbeing Healthy (excl pregnant) Number of Subjects 274 Number of males 148 Number of females 126	D₄
Creatine Kinase	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	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	D₄
Creatine Kinase	Estimate of Within-subject Within-subject calculated CI to Estimate of Between-subject Between-subject calculated CI to	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	D₄
Creatine Kinase	Estimate of Within-subject 43.3 Within-subject calculated CI 38.94 to 48.66 Estimate of Between-subject 67.9 Between-subject calculated CI 56.04 to 84.75	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	D₄
Creatine Kinase	Estimate of Within-subject 26.43 Within-subject calculated CI 22.92 to 31.18 Estimate of Between-subject 36.06 Between-subject calculated CI 26.62 to 52.93	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	C_8,10,13
Creatine Kinase	Estimate of Within-subject 26.27 Within-subject calculated CI 23.65 to 29.54 Estimate of Between-subject 48.47 Between-subject calculated CI 39.20 to 62.73	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	C_8,10,13
Creatine Kinase	Estimate of Within-subject 14.89 Within-subject calculated CI 12.78 to 17.79 Estimate of Between-subject 17.4 Between-subject calculated CI 12.42 to 26.41	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	C_8,10,13
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	C_4,8,10,12,13
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	D₄
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	C_8,10,11,13

Creatinine

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There are : 59 Records

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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	C_8,10,13
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	C_10,12
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	C_10,12
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	C_10,12
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	C_10,12
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	C_8,10,13
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	C_10,12
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	C_10,12
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	C_10,12
Creatinine	Estimate of Within-subject 3.8 Within-subject calculated CI