Khelil Mohamed Mokhtar
Ann Biol Clin (Paris). 2024 Jun 5;82(2):215-224. doi: 10.1684/abc.2024.1885.
The Westgard quality control (QC) rules are often applied in infectious diseases serology to validate the quality of results, but this requires a reasonable tradeoff between maximum sensitivity to errors and minimum false rejections. This article, in addition to illustrate the six sigma methodology in the QC management of the (anti-HCV Architect®) test, it discusses the main influencing factors on sigma value. Data from low positive and in-kit control materials spreading over 6 months and using four reagent kits, were used to calculate the precision of the test. The difference between the control material reactivity and the cut-off defined the error budget. Sigma values were > 6, which indicates that the method produces four erroneous results per million tests. The application of the six sigma concept made it possible to argue the choice of the new QC strategy (use of 13S rule with one positive control) and to relax the existing QC rules. This work provides a framework for infectious diseases serology laboratories to evaluate tests performances against a quality requirement and design an optimal QC strategy.
韦斯特加德质量控制(QC)规则常用于传染病血清学以验证结果质量,但这需要在对误差的最大敏感性和最小误拒收之间进行合理权衡。本文除了阐述六西格玛方法在(抗丙型肝炎病毒Architect®检测)的质量控制管理中的应用外,还讨论了对西格玛值的主要影响因素。使用来自4个试剂试剂盒、历时6个月的低阳性和试剂盒内对照材料的数据来计算检测的精密度。对照材料反应性与临界值之间的差异确定了误差预算。西格玛值大于6,这表明该方法每百万次检测会产生4个错误结果。六西格玛概念的应用使得论证新的质量控制策略(使用带有一个阳性对照的13S规则)的选择以及放宽现有质量控制规则成为可能。这项工作为传染病血清学实验室根据质量要求评估检测性能并设计最佳质量控制策略提供了一个框架。