Biological variation: recent development and future challenges

Author:

Sandberg Sverre123,Carobene Anna4,Bartlett Bill5,Coskun Abdurrahman6,Fernandez-Calle Pilar7,Jonker Niels8,Díaz-Garzón Jorge7ORCID,Aarsand Aasne K.12

Affiliation:

1. Norwegian Organization for Quality Improvement of Laboratory Examinations (Noklus), Haraldsplass Deaconess Hospital , Bergen , Norway

2. Department of Medical Biochemistry and Pharmacology , Norwegian Porphyria Centre, Haukeland University Hospital , Bergen , Norway

3. Department of Global Public Health and Primary Care , University of Bergen , Bergen , Norway

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

5. School of Science and Engineering, University of Dundee , Dundee , Scotland

6. Acibadem Mehmet Ali Aydınlar University, School of Medicine , Istanbul , Türkiye

7. Hospital Universitario La Paz, Quality Analytical Commission of Spanish Society of Clinical Chemistry (SEQC) , Madrid , Spain

8. Certe, Wilhelmina Ziekenhuis Assen , Assen , The Netherlands

Abstract

Abstract Biological variation (BV) data have many applications in laboratory medicine. However, these depend on the availability of relevant and robust BV data fit for purpose. BV data can be obtained through different study designs, both by experimental studies and studies utilizing previously analysed routine results derived from laboratory databases. The different BV applications include using BV data for setting analytical performance specifications, to calculate reference change values, to define the index of individuality and to establish personalized reference intervals. In this review, major achievements in the area of BV from last decade will be presented and discussed. These range from new models and approaches to derive BV data, the delivery of high-quality BV data by the highly powered European Biological Variation Study (EuBIVAS), the Biological Variation Data Critical Appraisal Checklist (BIVAC) and other standards for deriving and reporting BV data, the EFLM Biological Variation Database and new applications of BV data including personalized reference intervals and measurement uncertainty.

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry (medical),Clinical Biochemistry,General Medicine

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