The European Biological Variation Study (EuBIVAS): a summary report.


Journal

Clinical chemistry and laboratory medicine
ISSN: 1437-4331
Titre abrégé: Clin Chem Lab Med
Pays: Germany
ID NLM: 9806306

Informations de publication

Date de publication:
28 03 2022
Historique:
received: 26 03 2021
accepted: 14 05 2021
pubmed: 29 5 2021
medline: 26 3 2022
entrez: 28 5 2021
Statut: epublish

Résumé

Biological variation (BV) data have many important applications in laboratory medicine. Concerns about quality of published BV data led the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) 1st Strategic Conference to indicate need for new studies to generate BV estimates of required quality. In response, the EFLM Working Group on BV delivered the multicenter European Biological Variation Study (EuBIVAS). This review summarises the EuBIVAS and its outcomes. Serum/plasma samples were taken from 91 ostensibly healthy individuals for 10 consecutive weeks at 6 European centres. Analysis was performed by Siemens ADVIA 2400 (clinical chemistry), Cobas Roche 8000, c702 and e801 (proteins and tumor markers/hormones respectively), ACL Top 750 (coagulation parameters), and IDS iSYS or DiaSorin Liaison (bone biomarkers). A strict preanalytical and analytical protocol was applied. To determine BV estimates with 95% CI, CV-ANOVA after analysis of outliers, homogeneity and trend analysis or a Bayesian model was applied. EuBIVAS has so far delivered BV estimates for 80 different measurands. Estimates for 10 measurands (non-HDL cholesterol, S100-β protein, neuron-specific enolase, soluble transferrin receptor, intact fibroblast growth-factor-23, uncarboxylated-unphosphorylated matrix-Gla protein, human epididymis protein-4, free, conjugated and %free prostate-specific antigen), prior to EuBIVAS, have not been available. BV data for creatinine and troponin I were obtained using two analytical methods in each case. The EuBIVAS has delivered high-quality BV data for a wide range of measurands. The BV estimates are for many measurands lower than those previously reported, having an impact on the derived analytical performance specifications and reference change values.

Identifiants

pubmed: 34049424
pii: cclm-2021-0370
doi: 10.1515/cclm-2021-0370
doi:

Substances chimiques

Creatinine AYI8EX34EU
Prostate-Specific Antigen EC 3.4.21.77

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

505-517

Informations de copyright

© 2021 Walter de Gruyter GmbH, Berlin/Boston.

Références

Sandberg, S, Fraser, GC, Horvath, AR, Jansen, R, Jones, G, Oosterhuis, W, et al.. Defining analytical performance specifications: consensus statement from the 1st strategic conference of the European Federation of Clinical Chemistry and Laboratory Medicine. Clin Chem Lab Med 2015;53:833–5. https://doi.org/10.1515/cclm-2015-0067.
Fraser, CG, Kallner, A, Kenny, D, Petersen, PH. Introduction: strategies to set global quality specifications in laboratory medicine. Scand J Clin Lab Invest 1999;59:477–8. https://doi.org/10.1080/00365519950185210.
Panteghini, M, Sandberg, S. Defining analytical performance specifications 15 years after the Stockholm conference. Clin Chem Lab Med 2015;53:829–32. https://doi.org/10.1515/cclm-2015-0303.
Carobene, A, Franzini, C, Ceriotti, F. Comparison of the results from two different External Quality Assessment Schemes supports the utility of robust quality specifications. Clin Chem Lab Med 2011;49:1143–9. https://doi.org/10.1515/cclm.2011.196.
Haeckel, R, Wosniok, W, Kratochvila, J, Carobene, A. A pragmatic proposal for permissible limits in external quality assessment schemes with a compromise between biological variation and the state of the art. Clin Chem Lab Med 2012;50:833–9. https://doi.org/10.1515/cclm-2011-0862.
Fraser, CG. Reference change values: the way forward in monitoring. Ann Clin Biochem 2009;46:264–5. https://doi.org/10.1258/acb.2009.009006.
Fraser, CG. The nature of biological variation. In: biological variation: from principles to practice. Washington, DC: AACC Press; 2001:1–27 pp.
Carobene, A. La variabilità biologica: le basi teoriche e l’esperienza dei Gruppi di Lavoro della Federazione Europea di Chimica Clinica e Medicina di Laboratorio. Biochim Clin 2018;42:15–25.
Fraser, CG, Hyltoft Petersen, P. Analytical performance characteristics should be judged against objective quality specifications. Clin Chem 1999;45:321–3. https://doi.org/10.1093/clinchem/45.3.321.
Coskun, A, Sandberg, S, Unsal, I, Cavusoglu, C, Serteser, M, Kilercik, M, et al.. Personalized reference intervals in laboratory medicine: a new model based on within-subjects biological variation. Clin Chem 2021;67:374–84. https://doi.org/10.1093/clinchem/hvaa233.
Fraser, CG. Biological variation in clinical chemistry. Arch Pathol Lab Med 1992;116:916–23.
Ricos, C, Alvarez, V, Cava, F, Garcia-Lario, JV, Hernandez, A, Jimenez, CV, et al.. Current databases on biological variation: pros, cons and progress. Scand J Clin Lab Invest 1999;59:491–500. https://doi.org/10.1080/00365519950185229.
Ricos, C, Alvarez, V, Cava, F, Garcia-Lario, JV, Hernandez, A, Jimenez, CV, et al.. Desirable specification for total error, imprecision, and bias, derived from intra- and inter- individual biologic variation. The 2014 update. Available from: www.westgard.com/biodatabase1.htm [Accessed Sept 2020].
Aarsand, AK, Røraas, T, Bartlett, WA, Coşkun, A, Carobene, A, Fernandez-Calle, P, et al.. Harmonization initiatives in the generation, reporting and application of biological variation data. Clin Chem Lab Med 2018;56:1629–36. https://doi.org/10.1515/cclm-2018-0058.
Braga, F, Panteghini, M. Biological variability of C-reactive protein: is the available information reliable? Clin Chim Acta 2012;413:1179–83. https://doi.org/10.1016/j.cca.2012.04.010.
Carobene, A, Braga, F, Røraas, T, Sandberg, S, Bartlett, WA. A systematic review of data on biological variation for alanine aminotransferase, aspartate aminotransferase and γ-glutamyl transferase. Clin Chem Lab Med 2013;51:1997–2007. https://doi.org/10.1515/cclm-2013-0096.
Aarsand, AK, Røraas, T, Sandberg, S. Biological variation – reliable data is essential. Clin Chem Lab Med 2015;53:153–4. https://doi.org/10.1515/cclm-2014-1141.
Carobene, A. Reliability of biological variation data available in an online database: need for improvement. Clin Chem Lab Med 2015;53:871–7. https://doi.org/10.1515/cclm-2014-1133.
Aarsand, A, Roraas, T, Fernandez-Calle, P, Ricós, C, Diaz-Garzon, J, Jonker, N, et al.. On behalf of the EFLM Working Group on Biological Variation and Task and Finish Group for the Biological Variation Database. The biological variation data critical appraisal checklist (BIVAC): a new standard for evaluating studies on biological variation. Clin Chem 2018;64:501–14. https://doi.org/10.1373/clinchem.2017.281808.
Aarsand, AK, Fernandez-Calle, P, Webster, C, Coskun, A, Gonzales-Lao, E, Diaz-Garzon, J, et al.. EFLM biological variation database. Available from: https://biologicalvariation.eu/ [Accessed Dec 2020].
Carobene, A, Strollo, M, Jonker, N, Barla, G, Bartlett, WA, Sandberg, S, et al.. Sample collections from healthy volunteers for biological variation estimates’ update: a new project undertaken by the Working Group on Biological Variation established by the European Federation of Clinical Chemistry and Laboratory Medicine. Clin Chem Lab Med 2016;54:1599–608. https://doi.org/10.1515/cclm-2016-0035.
Carobene, A, Røraas, T, Sølvik, UØ, Sylte, MS, Sandberg, S, Guerra, E, et al.. Biological variation estimates obtained from 91 healthy study participants for 9 enzymes in serum. Clin Chem 2017;63:1141–50. https://doi.org/10.1373/clinchem.2016.269811.
Aarsand, AK, Díaz-Garzón, J, Fernandez-Calle, P, Guerra, E, Locatelli, M, Bartlett, WA, et al.. The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin, and glucose. Clin Chem 2018;64:1380–93. https://doi.org/10.1373/clinchem.2018.288415.
Carobene, A, Marino, I, Coŝkun, A, Serteser, M, Unsal, I, Guerra, E, et al.. The EuBIVAS project: within and between-subject biological variation data for serum creatinine using enzymatic and alkaline picrate methods and implications for monitoring. Clin Chem 2017;63:1527–36. https://doi.org/10.1373/clinchem.2017.275115.
Carobene, A, Guerra, E, Locatelli, M, Cucchiara, V, Briganti, A, Aarsand, AK, et al.. Biological variation estimates for prostate specific antigen from the European Biological Variation Study; consequences for diagnosis and monitoring of prostate cancer. Clin Chim Acta 2018;486:185–91. https://doi.org/10.1016/j.cca.2018.07.043.
Carobene, A, Guerra, E, Locatelli, M, Ceriotti, F, Sandberg, S, Fernandez-Calle, P, et al.. Providing correct estimates of biological variation-not an easy Task. The example of S100-β protein and neuron-specific enolase. Clin Chem 2018;64:1537–9. https://doi.org/10.1373/clinchem.2018.292169.
Carobene, A, Aarsand, AK, Guerra, E, Bartlett, WA, Coskun, A, Díaz-Garzón Marco, J, et al.. European biological variation study (EuBIVAS): within- and between-subject biological variation data for 15 frequently measured proteins. Clin Chem 2019;65:1031–41. https://doi.org/10.1373/clinchem.2019.304618.
Ceriotti, F, Díaz-Garzón Marco, J, Fernández-Calle, P, Maregnani, A, Aarsand, AK, Coskun, A, et al.. The European Biological Variation Study (EuBIVAS): weekly biological variation of cardiac troponin I estimated by the use of two different high-sensitivity cardiac troponin I assays. Clin Chem Lab Med 2020;58:1741–7. https://doi.org/10.1515/cclm-2019-1182.
Bottani, M, Banfi, G, Guerra, E, Locatelli, M, Aarsand, AK, Coşkun, A, et al.. European Biological Variation Study (EuBIVAS): within- and between-subject biological variation estimates for serum biointact parathyroid hormone based on weekly samplings from 91 healthy participants. Ann Transl Med 2020;8:855. https://doi.org/10.21037/atm-19-4498.
Cavalier, E, Lukas, P, Bottani, M, Aarsand, AK, Bartlett, W, Ceriotti, F, et al.. European Biological Variation Study (EuBIVAS): within- and between-subject biological variation estimates of C-terminal telopeptides of type I collagen, N-terminal propeptide of type I collagen, osteocalcin, intact Fibroblast growth factor 23 and uncarboxylated-unphosphorylated Matrix-Gla Protein, biomarkers of bone metabolism. A EFLM-IFCC joint study. Osteoporos Int 2020;31:1461–70. https://doi.org/10.1007/s00198-020-05362-8.
Clouet-Foraison, N, Marcovina, SM, Guerra, E, Aarsand, AK, Coşkun, A, Díaz-Garzón, J, et al.. Analytical performance specifications for lipoprotein(a), apolipoprotein B-100, and apolipoprotein A-I using the biological variation model in the EuBIVAS population. Clin Chem 2020;66:727–36. https://doi.org/10.1093/clinchem/hvaa054.
Carobene, A, Guerra, E, Marqués-García, F, Boned, B, Locatelli, M, Coşkun, A, et al.. Biological variation of morning serum cortisol: updated estimates from the European biological variation study (EuBIVAS) and meta-analysis. Clin Chim Acta 2020;509:268–72. https://doi.org/10.1016/j.cca.2020.06.038.
Carobene, A, Lao, EG, Simon, M, Locatelli, M, Coşkun, A, Díaz-Garzón, J, et al.. Biological variation of serum insulin: updated estimates from the European Biological Variation Study (EuBIVAS) and meta-analysis. Clin Chem Lab Med 2022;60:518–22. https://doi.org/10.1515/cclm-2020-1490.
Cavalier, E, Fraser, CG, Bhattoa, HP, Heijboer, AC, Makris, K, Ulmer, CZ, et al.. Analytical performance specifications for 25-hydroxyvitamin D examinations. Nutrients 2022;60:523–32. https://doi.org/10.3390/nu13020431.
Bottani, A, Aarsand, AK, Banfi, G, Locatelli, M, Coşkun, A, Díaz-Garzón, J, et al.. European Biological Variation Study (EuBIVAS): within- and between-subject biological variation estimates for serum thyroid biomarkers based on weekly samplings from 91 healthy participants. Clin Chem Lab Med 2022;60:523–32. https://doi.org/10.1515/cclm-2020-1885.
Coşkun, A, Aarsand, AK, Sandberg, S, Guerra, E, Locatelli, M, Díaz-Garzón, J, et al.. Within- and between-subject biological variation data for tumor markers based on the European Biological Variation Study. Clin Chem Lab Med 2022;60:543–52. https://doi.org/10.1515/cclm-2021-0283.
Aarsand, AK, Kristoffersen, AH, Støve, B, Coşkun, A, Fernandez-Calle, P, Díaz-Garzón, J, et al.. Bayesian based biological variation data for coagulation markers from the EuBIVAS. Clin Chem 13 Aug 2021. https://doi.org/10.1093/clinchem/hvab100. [Epub ahead of print].
Roraas, T, Stove, B, Petersen, PH, Sandberg, S. Biological variation: the effect of different distributions on estimated within-person variation and reference change values. Clin Chem 2016;62:725–36. https://doi.org/10.1373/clinchem.2015.252296.
Kristoffersen, AH, Petersen, PH, Røraas, T, Sandberg, S. Estimates of within-subject biological variation of protein C, antithrombin, protein S free, protein S activity, and activated protein C Resistance in pregnant women. Clin Chem 2017;63:898–907. https://doi.org/10.1373/clinchem.2016.265900.
Røraas, T, Sandberg, S, Aarsand, AK, Støve, B. A Bayesian approach to biological variation analysis. Clin Chem 2019;65:995–1005.
Bartlett, WA, Braga, F, Carobene, A, Coşkun, A, Prusa, R, Fernandez-Calle, P, et al.. Biological variation working group, European federation of clinical chemistry and laboratory medicine (EFLM). A checklist for critical appraisal of studies of biological variation. Clin Chem Lab Med 2015;53:879–85. https://doi.org/10.1515/cclm-2014-1127.
Carobene, A. The European biological variation study (EuBIVAS): delivery of updated biological variation estimates, a project by the working group on biological variation in the European federation of clinical chemistry and laboratory medicine. J Lab Precis Med 2017;2:70. https://doi.org/10.21037/jlpm.2017.08.13.
Røraas, T, Petersen, PH, Sandberg, S. Confidence intervals and power calculations for within-person biological variation: effect of analytical imprecision, number of replicates, number of samples, and number of individuals. Clin Chem 2012;58:1306–13. https://doi.org/10.1373/clinchem.2012.187781.
Jonker, N, Aslan, B, Boned, B, Marqués-García, F, Ricós, C, Alvarez, V, et al.. Critical appraisal and meta-analysis of biological variation estimates for kidney related analytes. Clin Chem Lab Med 2022;60:469–78. https://doi.org/10.1515/cclm-2020-1168.
Díaz-Garzón, J, Fernández-Calle, P, Minchinela, J, Aarsand, AK, Bartlett, WA, Aslan, B, et al.. Biological variation data for lipid cardiovascular risk assessment biomarkers. A systematic review applying the biological variation data critical appraisal checklist (BIVAC). Clin Chim Acta 2019;495:467–75. https://doi.org/10.1016/j.cca.2019.05.013.
González-Lao, E, Corte, Z, Simón, M, Ricós, C, Coskun, A, Braga, F, et al.. Systematic review of the biological variation data for diabetes related analytes. Clin Chim Acta 2019;488:61–7. https://doi.org/10.1016/j.cca.2018.10.031.
Diaz-Garzon, J, Fernandez-Calle, P, Sandberg, S, Ozcurumez, M, Bartlett, WA, Coskun, A, et al.. Biological variation of cardiac troponins in health and disease: a systematic review and meta-analysis. Clin Chem 2021;67:256–64. https://doi.org/10.1093/clinchem/hvaa261.
Marqués-García, F, Boned, B, González-Lao, E, Braga, F, Carobene, A, Coskun, A, et al.. Critical review and meta-analysis of biological variation estimates for tumor markers. Clin Chem Lab Med 2022;60;494–504.
Ceriotti, F, Fernandez-Calle, P, Klee, GG, Nordin, G, Sandberg, S, Streichert, T, et al.. Criteria for assigning laboratory measurands to models for analytical performance specifications defined in the 1st EFLM Strategic Conference. Clin Chem Lab Med 2017;55:189–94. https://doi.org/10.1515/cclm-2016-0091.
Braga, F, Panteghini, M. Derivation of performance specifications for uncertainty of serum C-reactive protein measurement according to the Milan model 3 (state of the art). Clin Chem Lab Med 2020;58:e263–5. https://doi.org/10.1515/cclm-2020-0532.
Fraser, CG. Biological variation: a still maturing aspect of laboratory medicine. Adv Lab Med 2019;1:20190032. https://doi.org/10.1515/almed-2019-0032.

Auteurs

Anna Carobene (A)

Laboratory Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Aasne K Aarsand (AK)

Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway.
Norwegian Organization for Quality Improvement of Laboratory Examinations (Noklus), Haraldsplass Deaconess Hospital, Bergen, Norway.

William A Bartlett (WA)

School of Medicine, University of Dundee, Scotland, UK.

Abdurrahman Coskun (A)

Acibadem Mehmet Ali Aydınlar University, School of Medicine, Istanbul, Turkey.

Jorge Diaz-Garzon (J)

Hospital Universitario La Paz, and Quality Analytical Commission of Spanish Society of Laboratory Medicine (SEQCML), Madrid, Spain.

Pilar Fernandez-Calle (P)

Hospital Universitario La Paz, and Quality Analytical Commission of Spanish Society of Laboratory Medicine (SEQCML), Madrid, Spain.

Elena Guerra (E)

Laboratory Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Niels Jonker (N)

Certe-Wilhelmina Ziekenhuis Assen, Europaweg-Zuid 1, Assen, The Netherlands.

Massimo Locatelli (M)

Laboratory Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Mario Plebani (M)

Department of Laboratory Medicine, University Hospital of Padova, Padova, Italy.

Sverre Sandberg (S)

Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway.
Norwegian Organization for Quality Improvement of Laboratory Examinations (Noklus), Haraldsplass Deaconess Hospital, Bergen, Norway.
Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.

Ferruccio Ceriotti (F)

Central Laboratory, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH