Biological Variation Estimates Obtained from 91 Healthy Study Participants for 9 Enzymes in Serum

Author:

Carobene Anna12,Røraas Thomas3,Sølvik Una Ørvim4,Sylte Marit Sverresdotter5,Sandberg Sverre3452,Guerra Elena1,Marino Irene1,Jonker Niels62,Barla Gerhard6,Bartlett William A72,Fernandez-Calle Pilar82,Díaz-Garzón Jorge8,Tosato Francesca9,Plebani Mario9,Coşkun Abdurrahman102,Serteser Mustafa10,Unsal Ibrahim10,Ceriotti Ferruccio1

Affiliation:

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

2. Biological Variation Working Group, European Federation of Clinical Chemistry and Laboratory Medicine, Milan, Italy (http://efcclm.eu/science/wg-biological-variation, www.biologicalvariation.com)

3. Norwegian Quality Improvement of Primary Health Care Laboratories (Noklus), Haraldsplass, Hospital, Bergen, Norway

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

5. Laboratory of Clinical Biochemistry, Haukeland University Hospital, Bergen, Norway

6. Certe, Wilhelmina Ziekenhuis Assen, Assen, the Netherlands

7. Blood Sciences, Ninewells Hospital & Medical School, Scotland, UK

8. Hospital Universitario La Paz, Madrid, Spain, and Quality Analytical Commission of the Spanish Society of Clinical Chemistry, Barcelona, Spain

9. Department of Laboratory Medicine, University Hospital, Padua, Italy

10. Acibadem University, School of Medicine, Atasehir, Istanbul, Turkey

Abstract

Abstract BACKGROUND We sought to develop estimates of biological variation (BV) for 9 enzymes in blood serum as part of the European Biological Variation Study. METHODS Ninety-one healthy study participants (38 male and 53 female, 21–69 years old) were phlebotomized in each of 10 consecutive weeks at 6 European laboratories. The same preanalytical sample-handling protocol was followed at each center before transport to San Raffaele Hospital, Milan, Italy, for analysis. Sera were stored at −80 °C before analysis in duplicate within a single run on an ADVIA 2400 Clinical Chemistry System (Siemens Healthcare) following a protocol designed to minimize analytical imprecision. Assay traceability was established using frozen sera with target values assigned by reference methods. The results were subjected to outlier analysis before CV-ANOVA to deliver valid BV estimates. Results for 9 enzymes were subsequently partitioned for graphical display allowing visual assessment of the effects of country of origin, sex, and age on BV estimates. RESULTS We found no effect of country upon the observed variation, but overall sex-related differences were evident for alanine amino transferase (ALT), γ-glutamyl transferase (GGT), and creatine kinase (CK). The following estimates for within-subject BV (CVI) and between-subject BV (CVG), respectively, were obtained: ALT: 9.3%, 28.2%; aspartate aminotransferase: 9.5%, 20.3%; GGT: 8.9%, 41.7%; alkaline phosphatase : 5.3%, 24.9%; lactate dehydrogenase: 5.2%, 12.6%; CK: 14.5%, 31.5%; amylase: 6.8%, 30.4%; pancreatic α-amylase: 6.3%, 24.9%; and lipase (LIP): 7.7%, 23.8%. CONCLUSIONS All CVI and some CVG estimates were lower than those reported in the online BV 2014 updated database. Analytical performance specifications derived from BV can be applied internationally.

Funder

Siemens Healthcare

Publisher

Oxford University Press (OUP)

Subject

Biochemistry (medical),Clinical Biochemistry

Reference24 articles.

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2. Reliability of biological variation data available in an online database: need for improvement;Carobene;Clin Chem Lab Med,2015

3. Defining analytical performance specifications: Consensus Statement from the 1st Strategic Conference of the European Federation of Clinical Chemistry and Laboratory Medicine;Sandberg;Clin Chem Lab Med,2015

4. Criteria for assigning laboratory measurands to models for analytical performance specifications defined in the 1st EFLM Strategic Conference;Ceriotti;Clin Chem Lab Med,2017

5. Minchinela J , RicósC, PerichC, Fernández-CalleP, ÁlvarezV, DoménechMV, et al. Biological variation database and quality specifications for imprecision, bias and total error (desirable and minimum). The 2014 update. http://www.westgard.com/biodatabase-2014-update.htm (Accessed July 2016).

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