Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Runqing, Wang, Tengjiao, Gong, Lijun, Peng, Peng, Yang, Song, Zhao, Haibin, Xiong, Pan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
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
_version_ 1783472253080436736
author Li, Runqing
Wang, Tengjiao
Gong, Lijun
Peng, Peng
Yang, Song
Zhao, Haibin
Xiong, Pan
author_facet Li, Runqing
Wang, Tengjiao
Gong, Lijun
Peng, Peng
Yang, Song
Zhao, Haibin
Xiong, Pan
author_sort Li, Runqing
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6868403
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-68684032019-11-25 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 Li, Runqing Wang, Tengjiao Gong, Lijun Peng, Peng Yang, Song Zhao, Haibin Xiong, Pan J Clin Lab Anal Research Articles 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. John Wiley and Sons Inc. 2019-08-06 /pmc/articles/PMC6868403/ /pubmed/31386228 http://dx.doi.org/10.1002/jcla.22989 Text en © 2019 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles
Li, Runqing
Wang, Tengjiao
Gong, Lijun
Peng, Peng
Yang, Song
Zhao, Haibin
Xiong, Pan
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Research Articles
url 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
work_keys_str_mv AT lirunqing comparativeanalysisofcalculatingsigmametricsbyatruenessverificationproficiencytestingbasedapproachandaninternalqualitycontroldatainterlaboratorycomparisonbasedapproach
AT wangtengjiao comparativeanalysisofcalculatingsigmametricsbyatruenessverificationproficiencytestingbasedapproachandaninternalqualitycontroldatainterlaboratorycomparisonbasedapproach
AT gonglijun comparativeanalysisofcalculatingsigmametricsbyatruenessverificationproficiencytestingbasedapproachandaninternalqualitycontroldatainterlaboratorycomparisonbasedapproach
AT pengpeng comparativeanalysisofcalculatingsigmametricsbyatruenessverificationproficiencytestingbasedapproachandaninternalqualitycontroldatainterlaboratorycomparisonbasedapproach
AT yangsong comparativeanalysisofcalculatingsigmametricsbyatruenessverificationproficiencytestingbasedapproachandaninternalqualitycontroldatainterlaboratorycomparisonbasedapproach
AT zhaohaibin comparativeanalysisofcalculatingsigmametricsbyatruenessverificationproficiencytestingbasedapproachandaninternalqualitycontroldatainterlaboratorycomparisonbasedapproach
AT xiongpan comparativeanalysisofcalculatingsigmametricsbyatruenessverificationproficiencytestingbasedapproachandaninternalqualitycontroldatainterlaboratorycomparisonbasedapproach