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Comparative analysis of calculating sigma metrics by a trueness verification proficiency testing‐based approach and an internal quality control data inter‐laboratory comparison‐based approach
INTRODUCTION: Two methods were compared for evaluating the sigma metrics of clinical biochemistry tests using two different allowable total error (TEa) specifications. MATERIALS AND METHODS: The imprecision (CV%) and bias (bias%) of 19 clinical biochemistry analytes were calculated using a trueness...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868403/ https://www.ncbi.nlm.nih.gov/pubmed/31386228 http://dx.doi.org/10.1002/jcla.22989 |
Sumario: | INTRODUCTION: Two methods were compared for evaluating the sigma metrics of clinical biochemistry tests using two different allowable total error (TEa) specifications. MATERIALS AND METHODS: The imprecision (CV%) and bias (bias%) of 19 clinical biochemistry analytes were calculated using a trueness verification proficiency testing (TPT)‐based approach and an internal quality control data inter‐laboratory comparison (IQC)‐based approach, respectively. Two sources of total allowable error (TEa), the Clinical Laboratory Improvement Amendments of 1988 (CLIA '88) and the People's Republic of China Health Industry Standard (WS/T 403‐2012), were used to calculate the sigma metrics (σ(CLIA,) σ(WS/T)). Sigma metrics were calculated to provide a single value for assessing the quality of each test based on a single concentration level. RESULTS: For both approaches, σ(CLIA) > σ(WS/T) in 18 out of 19 assays. For the TPT‐based approach, 16 assays showed σ(CLIA) > 3, and 12 assays showed σ(WS/T) > 3. For the IQC‐based approach, 19 and 16 assays showed σ(CLIA) > 3 and σ(WS/T) > 3, respectively. CONCLUSIONS: Both methods can be used as references for calculating sigma metrics and designing QC schedules in clinical laboratories. Sigma metrics should be evaluated comprehensively by different approaches. |
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