An approach for determining allowable between reagent lot variation

Author:

van Schrojenstein Lantman Marith12ORCID,Çubukçu Hikmet Can3ORCID,Boursier Guilaine4,Panteghini Mauro5,Bernabeu-Andreu Francisco A.6,Milinkovic Neda7,Mesko Brguljan Pika8,Linko Solveig9,Brugnoni Duilio10ORCID,O’Kelly Ruth11,Kroupis Christos12,Lohmander Maria13,Šprongl Luděk14,Vanstapel Florent15,Thelen Marc12

Affiliation:

1. Result Laboratory for Clinical Chemistry , Amphia Hospital , Breda , The Netherlands

2. Department of Laboratory Medicine , Radboud University Medical Centre , Nijmegen , The Netherlands

3. Interdisciplinary Stem Cells and Regenerative Medicine, Ankara University Stem Cell Institute , Ankara , Turkey

4. Dept of Genetics, Rare Diseases and Personalized Medicine Rare Diseases and Autoinflammatory Unit , CHU Montpellier , Univ Montpellier , Montpellier , France

5. Department of Biomedical and Clinical Sciences “Luigi Sacco”, and Research Centre for Metrological Traceability in Laboratory Medicine (CIRME) , University of Milan , Milano , Italy

6. Servicio Bioquímica - Análisis Clínicos , Hospital Universitario Puerta de Hierro , Madrid , Spain

7. Department of Medical Biochemistry , Faculty of Pharmacy , University of Belgrade , Belgrade , Serbia

8. Department of Clinical Chemistry , University Clinic for Respiratory and Allergic Diseases , Golnik , Slovenia

9. Linko Q-Solutions Helsinki , Finland

10. Clinical Chemistry Laboratory , Spedali Civili , Brescia , Italy

11. Association of Clinical Biochemists in Ireland , Dublin , Ireland

12. Department of Clinical Biochemistry , Medical School , Attikon University General Hospital , National and Kapodistrian University of Athens , Haidari , Greece

13. Regional Laboratoriemedicin , Sahlgrenska Universitetssjukhuset , Trollhättan , Sweden

14. Clinical Laboratory , Hospital Kladno , Kladno , Czech Republic

15. Belgium and Department of Public Health, Laboratory Medicine , University Hospital Leuven , Biomedical Sciences Group , Leuven , Belgium

Abstract

Abstract Clinicians trust medical laboratories to provide reliable results on which they rely for clinical decisions. Laboratories fulfil their responsibility for accurate and consistent results by utilizing an arsenal of approaches, ranging from validation and verification experiments to daily quality control procedures. All these procedures verify, on different moments, that the results of a certain examination procedure have analytical performance characteristics (APC) that meet analytical performance specifications (APS) set for a particular intended use. The APC can in part be determined by estimating the measurement uncertainty component under conditions of within-laboratory precision (u Rw), which comprises all components influencing the measurement uncertainty of random sources. To maintain the adequacy of their measurement procedures, laboratories need to distinguish aspects that are manageable vs. those that are not. One of the aspects that may influence u Rw is the momentary significant bias caused by shifts in reagent and/or calibrator lots, which, when accepted or unnoticed, become a factor of the APC. In this paper, we postulate a model for allocating a part of allowable u Rw to between-reagent lot variation, based on the need for long-term consistency of the measurement variability for that specific measurand. The allocation manages the ratio between short-term and long-term variation and indicates laboratories when to reject or correct certain variations due to reagent lots.

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry (medical),Clinical Biochemistry,General Medicine

Reference34 articles.

1. International Organization for Standardization. Medical laboratories – Practical guidance for the estimation of measurement uncertainty. ISO/TS 20914:2019; 2019.

2. Infusino, I, Panteghini, M. Measurement uncertainty: friend or foe? Clin Biochem 2018;57:3–6, https://doi.org/10.1016/j.clinbiochem.2018.01.025.

3. Braga, F, Pasqualetti, S, Aloisio, E, Panteghini, M. The internal quality control in the traceability era. Clin Chem Lab Med 2020;59:291–300, https://doi.org/10.1515/cclm-2020-0371.

4. Schoenmakers, CHH, Naus, AJM, Vermeer, HJ, van Loon, D, Steen, G. Practical application of sigma metrics QC procedures in clinical chemistry. Clin Chem Lab Med 2011;49:1837–43, https://doi.org/10.1515/CCLM.2011.249.

5. Katzman, BM, Ness, KM, Algeciras-Schimnich, A. Evaluation of the CLSI EP26-A protocol for detection of reagent lot-to-lot differences. Clin Biochem 2017;50:768–71, https://doi.org/10.1016/j.clinbiochem.2017.03.012.

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