Aggregated data from the same laboratories participating in two glucose external quality assessment schemes show that commutability and transfers of values to control materials are decisive for the biases found

Author:

Gidske Gro12,Sandberg Sverre123,Fauskanger Pernille14,Pelanti Jonna5,Tollånes Mette C.12,Solsvik Anne E.1,Sølvik Una Ø.2,Vie Wenche S.1,Stavelin Anne1

Affiliation:

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

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

3. Department of Medical Biochemistry and Pharmacology , Haukeland University Hospital , Bergen , Norway

4. Department of Mathematics , University of Bergen , Bergen , Norway

5. Labquality Ltd , Helsinki , Finland

Abstract

Abstract Objectives We report the results of glucose measurements performed during one year by the same measurement procedures (MPs) in 58 Norwegian hospital laboratories using control materials provided by external quality assessment (EQA) schemes from two different providers. The providers used materials with presumed vs. verified commutability and transfers of values using reference material vs. using a highest-order reference MP. Methods Data from six Labquality and three Noklus glucose EQA surveys were aggregated for each MP (Abbott Alinity, Abbott Architect, Roche Cobas, and Siemens Advia) in each scheme. For each EQA result, percent difference from target value (% bias) was calculated. Median percent bias for each MP per scheme was then calculated. Results The median % biases observed for each MP in the Labquality scheme were significantly larger than those in the Noklus scheme, which uses verified commutable control materials and highest-order reference MP target values. The difference ranged from 1.2 (Roche Cobas, 2.9 vs. 1.7 %) to 4.4 percentage points (Siemens Advia, 3.2 % vs. −1.2 %). The order of bias size for the various MPs was different in the two schemes. In contrast to the Labquality scheme, the median % biases observed in the Noklus scheme for Abbott Alinity (−0.1 %), Abbott Architect (−0.5 %), and Siemens Advia (−1.2 %) were not significantly different from target value (p>0.756). Conclusions This study underlines the importance of using verified commutable EQA materials and target values traceable to reference MPs in EQA schemes designed for assessment of metrological traceability of laboratory results.

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry (medical),Clinical Biochemistry,General Medicine

Reference25 articles.

1. American Diabetes Association. Standards of medical care in diabetes. Diabetes Care 2013;36:S11–66. https://doi.org/10.2337/dc13-s011.

2. World Health Organization. Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia. In: Report of a WHO/IDF consultation 2006 [Online]. http://apps.who.int/iris/bitstream/handle/10665/43588/9241594934_eng.pdf?sequence=1 [Accessed 19 May 2023].

3. Miller, WG, Jones, GR, Horowitz, GL, Weykamp, C. Proficiency testing/external quality assessment: current challenges and future directions. Clin Chem 2011;57:1670–80. https://doi.org/10.1373/clinchem.2011.168641.

4. Miller, WG, Sandberg, S. Quality control of the analytical examination process. In: Rifai, N, editor. Tietz textbook of laboratory medicine, 7th ed. St Louis: Elsevier; 2022:129–63 pp.

5. Clinical Laboratory Standards Institute (CLSI). Evaluation of commutability of processed samples; approved guideline. CLSI document EP14-A3. Wayne (PA): CLSI; 2014.

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