Literature DB >> 23525873

Defining acceptable limits for the metrological traceability of specific measurands.

Renze Bais1, Dave Armbruster, Rob T P Jansen, George Klee, Mauro Panteghini, Joseph Passarelli, Ken A Sikaris.   

Abstract

Although manufacturers are compelled by the European IVD Directive, 98/79/EC, to have traceability of the values assigned to their calibrators if suitable higher order reference materials and/or procedures are available, there is still no equivalence of results for many measurands determined in clinical laboratories. The adoption of assays with metrological traceable results will have a significant impact on laboratory medicine in that results will be equivalent across different laboratories and different analytical platforms. The IFCC WG on Allowable Errors for Traceable Results has been formed to define acceptable limits for metrological traceability chains for specific measurands in order to promote the equivalence of patient results. These limits are being developed based on biological variation for the specific measurands. Preliminary investigations have shown that for some measurands, it is possible for manufacturers to assign values to assay calibrators with a measurement uncertainty that allows the laboratory enough combined uncertainty for their routine measurements. However, for other measurands, e.g., plasma sodium, current assays are too imprecise to fulfil limits based on biological variation. Although an alternative approach based on probability theory is being investigated, the most desirable approach would be for industry to improve measurement methods so that they meet clinical requirements.

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Year:  2013        PMID: 23525873     DOI: 10.1515/cclm-2013-0122

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  5 in total

Review 1.  Evaluation of Performance of Laboratories and Manufacturers Within the Framework of the IFCC model for Quality Targets of HbA1c.

Authors:  Cas Weykamp; Carla Siebelder
Journal:  J Diabetes Sci Technol       Date:  2017-11-17

Review 2.  Bias Assessment of General Chemistry Analytes using Commutable Samples.

Authors:  Gus Koerbin; Jillian R Tate; Julie Ryan; Graham Rd Jones; Ken A Sikaris; David Kanowski; Maxine Reed; Janice Gill; George Koumantakis; Tina Yen; Andrew St John; Peter E Hickman; Aaron Simpson; Peter Graham
Journal:  Clin Biochem Rev       Date:  2014-11

3.  Investigation of 2 models to set and evaluate quality targets for hb a1c: biological variation and sigma-metrics.

Authors:  Cas Weykamp; Garry John; Philippe Gillery; Emma English; Linong Ji; Erna Lenters-Westra; Randie R Little; Gojka Roglic; David B Sacks; Izumi Takei
Journal:  Clin Chem       Date:  2015-03-03       Impact factor: 8.327

4.  Manual accidents, biological risk control, and quality indicators at a children's hospital in north-east Italy.

Authors:  Sergio Parco; Fulvia Vascotto; Roberto Simeone; Patrizia Visconti
Journal:  Risk Manag Healthc Policy       Date:  2015-04-13

5.  Harmonization of Clinical Laboratory Test Results: The Role of the IVD Industry.

Authors:  Dave Armbruster; James Donnelly
Journal:  EJIFCC       Date:  2016-02-09
  5 in total

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