Critical appraisal and meta-analysis of biological variation estimates for kidney related analytes

Author:

Jonker Niels1,Aslan Berna2,Boned Beatriz34,Marqués-García Fernando35,Ricós Carmen3,Alvarez Virtudes3,Bartlett William6,Braga Federica7ORCID,Carobene Anna8,Coskun Abdurrahman9,Diaz-Garzón Jorge310,Fernández-Calle Pilar310,Gonzalez-Lao Elisabet311,Minchinela Joana312,Perich Carmen3,Simón Margarita313,Sandberg Sverre141516,Aarsand Aasne K.1415

Affiliation:

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

2. Institute for Quality Management in Healthcare (IQMH), Centre for Proficiency Testing , Toronto , Ontario , Canada

3. Spanish Society of Laboratory Medicine (SEQC ) , Analytical Quality Commission , Barcelona , Spain

4. Royo Villanova Hospital , Zaragoza , Spain

5. Department of Clinical Biochemistry , University Hospital of Salamanca , Salamanca , Spain

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

7. Research Centre for Metrological Traceability in Laboratory Medicine (CIRME), University of Milan , Milan , Italy

8. Servizio Medicina di Laboratorio , Ospedale San Raffaele , Milan , Italy

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

10. Department of Laboratory Medicine , La Paz University Hospital , Madrid , Spain

11. Quality Healthcare Consulting , Grupo ACMS , Madrid , Spain

12. Metropolitana Nord Unified Laboratory (LUMN), Germans Trias i Pujol University Hospital , Badalona , Spain

13. Consortium of Laboratory Intercomarcal Alt Penedès and Garraf l’Anoia , Vilafranca del Penedès , Spain

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

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

16. Department of Global Health and Primary Care, Faculty of Medicine , University of Bergen , Bergen , Norway

Abstract

Abstract Objective Kidney markers are some of the most frequently used laboratory tests in patient care, and correct clinical decision making depends upon knowledge and correct application of biological variation (BV) data. The aim of this study was to review available BV data and to provide updated BV estimates for the following kidney markers in serum and plasma; albumin, creatinine, cystatin C, chloride, potassium, sodium and urea. Content Relevant studies were identified from a historical BV database as well as by systematic literature searches. Retrieved publications were appraised by the Biological Variation Data Critical Appraisal Checklist (BIVAC). Meta-analyses of BIVAC compliant studies with similar design were performed to deliver global estimates of within-subject (CVI) and between-subject (CVG) BV estimates. Out of the 61 identified papers, three received a BIVAC grade A, four grade B, 48 grade C, five grade D grade and one was not appraised as it did not report numerical BV estimates. Most studies were identified for creatinine (n=48). BV estimates derived from the meta-analysis were in general lower than previously reported estimates for all analytes except urea. For some measurands, BV estimates may be influenced by age or states of health, but further data are required. Summary This review provides updated global BV estimates for kidney related measurands. For all measurands except for urea, these estimates were lower than previously reported. Outlook For the measurands analyzed in this review, there are sufficient well-designed studies available to publish a trustworthy estimate of BV. However, for a number of newly appearing kidney markers no suitable data is available and additional studies are required.

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry (medical),Clinical Biochemistry,General Medicine

Reference25 articles.

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3. Ricós, C, Baadenhuijsen, H, Libeer, JC, Hyltoft Petersen, P, Stöckl, D, Thienpont, L, et al. Currently used criteria for evaluating performance in EQA in European countries and a proposal for harmonization. Eur J Clin Chem Clin Biochem 1996;34:159–65.

4. Mina, A. A new quality control model using performance goals based on biological variation in external quality assurance schemes. Clin Chem Lab Med 2006;44:86–91. https://doi.org/10.1515/cclm.2006.017.

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