The utility of measurement uncertainty in medical laboratories

Author:

Braga Federica12,Panteghini Mauro1

Affiliation:

1. Research Centre for Metrological Traceability in Laboratory Medicine (CIRME) , Università di Milano , Milan , Italy

2. UOC Patologia Clinica, ASST Fatebenefratelli-Sacco , Via GB Grassi 74 , 20157 Milan , Italy , Phone: +390239042743, Fax: +390250319835

Abstract

Abstract The definition and enforcement of reference measurement systems, based on the implementation of metrological traceability of patient results to higher-order (reference) methods and/or materials, together with a clinically acceptable level of measurement uncertainty (MU), are fundamental requirements to produce accurate and equivalent laboratory results. The MU associated with each step of the traceability chain should be governed to obtain a final combined MU on clinical samples fulfilling the requested performance specifications. MU is useful for a number of reasons: (a) for giving objective information about the quality of individual laboratory performance; (b) for serving as a management tool for the medical laboratory and in vitro diagnostics (IVD) manufacturers, forcing them to investigate and eventually fix the identified problems; (c) for helping those manufacturers that produce superior products and measuring systems to demonstrate the superiority of those products; (d) for identifying analytes that need analytical improvement for their clinical use and ask IVD manufacturers to work for improving the quality of assay performance and (e) for abandoning assays with demonstrated insufficient quality. Accordingly, the MU should not be considered a parameter to be calculated by medical laboratories just to fulfill accreditation standards, but it must become a key quality indicator to describe both the performance of an IVD measuring system and the laboratory itself.

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry (medical),Clinical Biochemistry,General Medicine

Reference34 articles.

1. JCGM 200:2012. International vocabulary of metrology – basic and general concepts and associated terms (VIM), 3rd ed. https://www.bipm.org/utils/common/documents/jcgm/JCGM_200_2012.pdf. Accessed: Feb 2020.

2. Ellison SL, Williams A. Eurachem guide: quantifying uncertainty in analytical measurement. Eurachem, 3rd ed. 2012. https://www.eurachem.org/images/stories/Guides/pdf/QUAM2012_P1.pdf. Accessed: Feb 2020.

3. Infusino I, Panteghini M. Measurement uncertainty: friend or foe? Clin Biochem 2018;57:3–6.

4. Westgard SA. Rhetoric versus reality? Laboratory surveys show actual practice differs considerably from proposed models and mandated calculations. Clin Lab Med 2017;37:35–45.

5. Topic E, Nikolac N, Panteghini M, Theodorsson E, Salvagno GL, Miler M, et al. How to assess the quality of your analytical method? Clin Chem Lab Med 2015;53:1707–18.

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