Article ; Online: Evaluation of 20 clinical chemistry and 12 immunoassay analytes in terms of total analytical error and measurement uncertainty.
Scandinavian journal of clinical and laboratory investigation
2021 Volume 81, Issue 7, Page(s) 517–522
Abstract: In analytical quality management, target setting models that are selected by the purpose together with the error models that are applied correctly have critical importance. In our study, we aimed to compare the analytical performance characteristics of ... ...
Abstract | In analytical quality management, target setting models that are selected by the purpose together with the error models that are applied correctly have critical importance. In our study, we aimed to compare the analytical performance characteristics of routine clinical chemistry and immunoassay tests with different target-setting models proposed by various organizations. Our study was performed with internal and external quality control data obtained using Beckman Coulter AU680 for clinical chemistry analytes and Roche Cobas 8000 autoanalyzer for immunoassay analytes. The total analytical error (TAE) was calculated by the formula TAH%=1.65×(CV%)+Bias%. Measurement uncertainty (MU) has been calculated adhering to the Nordtest guideline. Results were compared with BVEFLM, CLIA, RCPA, PRDEQA%, pUEQAS%, and permissible MU (pU%) data to investigate analytical performance qualities. When we compare the results of TAE and MU, MU was found to be higher than TAE for all analytes. ALT, AST, glucose, K, and triglycerides m |
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MeSH term(s) | Chemistry, Clinical/methods ; Humans ; Immunoassay/methods ; Quality Control ; Uncertainty |
Language | English |
Publishing date | 2021-07-27 |
Publishing country | England |
Document type | Evaluation Study ; Journal Article |
ZDB-ID | 3150-1 |
ISSN | 1502-7686 ; 0036-5513 |
ISSN (online) | 1502-7686 |
ISSN | 0036-5513 |
DOI | 10.1080/00365513.2021.1955294 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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