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Practical application of Westgard Sigma rules with run size in analytical biochemistry processes in clinical settings

BACKGROUND: The performance of 18 routine chemical detection methods was evaluated by the sigma (σ) metric, and Westgard Sigma rules with run size were used to establish internal quality control (IQC) standards to reduce patient risks. MATERIALS AND METHODS: External quality assessment (EQA) and int...

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Autores principales: Peng, SongQing, Zhang, JinFei, Zhou, WuQiong, Mao, WeiLin, Han, Zhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957980/
https://www.ncbi.nlm.nih.gov/pubmed/33270940
http://dx.doi.org/10.1002/jcla.23665
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author Peng, SongQing
Zhang, JinFei
Zhou, WuQiong
Mao, WeiLin
Han, Zhong
author_facet Peng, SongQing
Zhang, JinFei
Zhou, WuQiong
Mao, WeiLin
Han, Zhong
author_sort Peng, SongQing
collection PubMed
description BACKGROUND: The performance of 18 routine chemical detection methods was evaluated by the sigma (σ) metric, and Westgard Sigma rules with run size were used to establish internal quality control (IQC) standards to reduce patient risks. MATERIALS AND METHODS: External quality assessment (EQA) and internal quality control data from 18 assays in a biochemical laboratory were collected from January to June 2020. The sigma values of each assay were calculated, based on the bias, total error allowable, and coefficient of variation, appropriate quality control rules were selected. According to the quality goal index, the main causes of poor performance were determined to guide quality improvement. RESULTS: At IQC material level 1, seven of the 18 assays achieved five sigma (excellent), and five assays (UA, Crea, AMY, TC and Na) showed world‐class performance. At IQC material level 2, 14 of the 18 assays achieved 5 sigma (excellent), and thirteen assays (UA, ALT, CK, Crea, AMY, K, AST, ALP, Na, LDH, Mg, TC and GGT) showed world‐class performance. The quality goal index (QGI) was calculated for items with analysis performance <5 sigma, and the main causes of poor performance were determined to guide quality improvement. CONCLUSIONS: Westgard sigma rules with run size are an effective tool for evaluating the performance of biochemical assays. These rules can be used to more simply and intuitively select the quality control strategy of related items and reduce the risk to patients.
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spelling pubmed-79579802021-03-19 Practical application of Westgard Sigma rules with run size in analytical biochemistry processes in clinical settings Peng, SongQing Zhang, JinFei Zhou, WuQiong Mao, WeiLin Han, Zhong J Clin Lab Anal Research Articles BACKGROUND: The performance of 18 routine chemical detection methods was evaluated by the sigma (σ) metric, and Westgard Sigma rules with run size were used to establish internal quality control (IQC) standards to reduce patient risks. MATERIALS AND METHODS: External quality assessment (EQA) and internal quality control data from 18 assays in a biochemical laboratory were collected from January to June 2020. The sigma values of each assay were calculated, based on the bias, total error allowable, and coefficient of variation, appropriate quality control rules were selected. According to the quality goal index, the main causes of poor performance were determined to guide quality improvement. RESULTS: At IQC material level 1, seven of the 18 assays achieved five sigma (excellent), and five assays (UA, Crea, AMY, TC and Na) showed world‐class performance. At IQC material level 2, 14 of the 18 assays achieved 5 sigma (excellent), and thirteen assays (UA, ALT, CK, Crea, AMY, K, AST, ALP, Na, LDH, Mg, TC and GGT) showed world‐class performance. The quality goal index (QGI) was calculated for items with analysis performance <5 sigma, and the main causes of poor performance were determined to guide quality improvement. CONCLUSIONS: Westgard sigma rules with run size are an effective tool for evaluating the performance of biochemical assays. These rules can be used to more simply and intuitively select the quality control strategy of related items and reduce the risk to patients. John Wiley and Sons Inc. 2020-12-03 /pmc/articles/PMC7957980/ /pubmed/33270940 http://dx.doi.org/10.1002/jcla.23665 Text en © 2020 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Peng, SongQing
Zhang, JinFei
Zhou, WuQiong
Mao, WeiLin
Han, Zhong
Practical application of Westgard Sigma rules with run size in analytical biochemistry processes in clinical settings
title Practical application of Westgard Sigma rules with run size in analytical biochemistry processes in clinical settings
title_full Practical application of Westgard Sigma rules with run size in analytical biochemistry processes in clinical settings
title_fullStr Practical application of Westgard Sigma rules with run size in analytical biochemistry processes in clinical settings
title_full_unstemmed Practical application of Westgard Sigma rules with run size in analytical biochemistry processes in clinical settings
title_short Practical application of Westgard Sigma rules with run size in analytical biochemistry processes in clinical settings
title_sort practical application of westgard sigma rules with run size in analytical biochemistry processes in clinical settings
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957980/
https://www.ncbi.nlm.nih.gov/pubmed/33270940
http://dx.doi.org/10.1002/jcla.23665
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