Suppr超能文献

使用西格玛指标和质量目标指数分析临床生物化学实验室的性能

Analysis of performance of clinical biochemistry laboratory using Sigma metrics and Quality Goal Index.

作者信息

Goel Parul, Malik Gagandeep, Prasad Suvarna, Rani Isha, Manhas Sunita, Goel Kapil

机构信息

Department of Biochemistry, Maharishi Markandeshwar Institute of Medical Sciences and Research, MMDU, Mullana, India.

Department of Community Medicine & School of Public Health, Post Graduate Institute of Medical Education & Research (PGIMER), Chandigarh, 160012, India.

出版信息

Pract Lab Med. 2020 Dec 15;23:e00195. doi: 10.1016/j.plabm.2020.e00195. eCollection 2021 Jan.

Abstract

BACKGROUND

Unreliable and ingenuine results issued by clinical laboratories have serious consequences for the patients. Sigma metrics is a standardized tool for Quality assessment for test performance in a laboratory.

OBJECTIVE

To evaluate the performance of routine biochemistry laboratory at MMIMSR, Mullana in terms of Sigma metrics and Quality Goal Index.

MATERIAL AND METHODS

This cross sectional study evaluated performance of 14 routine chemistry parameters using retrospective Internal Quality Control data of two levels on Siemens Dimension Rxl from Feb to Jul 2019 for CV% and EQAS reports from CMC, Vellore for Bias%. Sigma metrics was calculated using total allowable error targets as per CLIA and Biological Variability database guidelines.

RESULTS

For level-2 IQC; TG, Chol, ALP showed excellent performance with σ ​> ​6 while σ ​< ​3 was observed for AST, Total Protein, Glucose, BUN and ALT using CLIA guidelines while in IQC Level-3 poor performers were only BUN and ALT with Ca, TG and Chol showing σ ​> ​6. Further by using Biological Variability data guidelines; 10 parameters of IQC Level-2 and 5 of IQC level-3 were poor performers with σ ​< ​3.

CONCLUSION

Sigma metrics is an excellent tool for performance analysis of tests performed in a clinical laboratory. Lack of precision in terms of CV% was seen for majority of the poor performers. Total allowable error targets using Biological Variability data revealed σ ​< ​3 for 10 parameters while using CLIA guidelines σ ​< ​3 was seen for only 5 parameters of IQC level-2.

摘要

背景

临床实验室出具的不可靠和虚假结果会给患者带来严重后果。西格玛指标是实验室检测性能质量评估的标准化工具。

目的

根据西格玛指标和质量目标指数评估穆拉纳MMIMSR常规生化实验室的性能。

材料与方法

本横断面研究使用2019年2月至7月西门子Dimension Rxl上两个水平的回顾性内部质量控制数据评估14项常规化学参数的性能,以获取变异系数(CV%),并使用韦洛尔CMC的室间质量评价计划(EQAS)报告获取偏倚百分比(Bias%)。根据临床实验室改进修正案(CLIA)和生物变异数据库指南,使用总允许误差目标计算西格玛指标。

结果

对于二级内部质量控制(IQC);甘油三酯(TG)、胆固醇(Chol)、碱性磷酸酶(ALP)表现出色,σ>6,而根据CLIA指南,天门冬氨酸氨基转移酶(AST)、总蛋白、葡萄糖、尿素氮(BUN)和丙氨酸氨基转移酶(ALT)的σ<3。在三级IQC中,表现不佳的只有BUN和ALT,钙(Ca)、TG和Chol的σ>6。进一步根据生物变异数据指南;二级IQC的10个参数和三级IQC的5个参数表现不佳,σ<3。

结论

西格玛指标是临床实验室检测性能分析的优秀工具。大多数表现不佳的项目在变异系数方面缺乏精密度。使用生物变异数据的总允许误差目标显示10个参数的σ<3,而使用CLIA指南时,二级IQC只有5个参数的σ<3。

相似文献

1
Analysis of performance of clinical biochemistry laboratory using Sigma metrics and Quality Goal Index.
Pract Lab Med. 2020 Dec 15;23:e00195. doi: 10.1016/j.plabm.2020.e00195. eCollection 2021 Jan.
2
Beyond the basics: Sigma scores in laboratory medicine with variable total allowable errors (TEa).
Clin Chim Acta. 2025 Jan 15;565:119971. doi: 10.1016/j.cca.2024.119971. Epub 2024 Sep 24.
5
Quantitative application of sigma metrics in medical biochemistry.
J Clin Diagn Res. 2013 Dec;7(12):2689-91. doi: 10.7860/JCDR/2013/7292.3700. Epub 2013 Nov 25.
10
Evaluation of analytical performance of homocysteine LC-MS/MS assay and design of internal quality control strategy.
Clin Chem Lab Med. 2023 Jan 13;61(6):1069-1074. doi: 10.1515/cclm-2022-0805. Print 2023 May 25.

引用本文的文献

本文引用的文献

3
Quality specifications of routine clinical chemistry methods based on sigma metrics in performance evaluation.
J Clin Lab Anal. 2018 Mar;32(3). doi: 10.1002/jcla.22284. Epub 2017 Jun 23.
6
Quantitative application of sigma metrics in medical biochemistry.
J Clin Diagn Res. 2013 Dec;7(12):2689-91. doi: 10.7860/JCDR/2013/7292.3700. Epub 2013 Nov 25.
7
Application of sigma metrics for the assessment of quality assurance in clinical biochemistry laboratory in India: a pilot study.
Indian J Clin Biochem. 2011 Apr;26(2):131-5. doi: 10.1007/s12291-010-0083-1. Epub 2010 Nov 16.
10
The detection and prevention of errors in laboratory medicine.
Ann Clin Biochem. 2010 Mar;47(Pt 2):101-10. doi: 10.1258/acb.2009.009222. Epub 2009 Dec 1.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验