Defining allowable total error limits in the clinical laboratory.

Advances in clinical chemistry Pub Date : 2024-01-01 Epub Date: 2023-12-20 DOI:10.1016/bs.acc.2023.11.006
Jill Palmer, Kornelia Galior
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Abstract

Allowable total error (ATE) are performance specification limits predefined for a variety of laboratory analytes. These limits define the maximum amount of error that is allowed for an assay when judging acceptability of a new assay during method verification/validation, evaluating patient or instrument comparison data, or in designing a quality control strategy. There are several widely available resources and models that can serve as a guide in selecting ATE. They may be based on legal requirements or set by providers of proficiency testing (PT) and external quality assessment schemes (EQAS). ATE can be also determined by professional expert groups or be based on biological variation of an analyte. Because there are several resources to choose from, there have been several attempts in reaching consensus on which ATE resource should be given preference. This chapter reviews several of these resources in more detail and discusses the difference between allowable total error (ATE) and observed total analytical error (TAE).

定义临床实验室允许的总误差限值。
允许总误差 (ATE) 是为各种实验室分析物预先设定的性能规范限值。在方法验证/确认、评估患者或仪器对比数据或设计质量控制策略时,这些限值规定了在判断新检测方法的可接受性时所允许的最大误差。有几种广泛可用的资源和模型可作为选择 ATE 的指南。它们可能基于法律要求,或由能力验证(PT)和外部质量评估计划(EQAS)的提供者设定。ATE 也可由专业专家组确定,或基于分析物的生物变异。由于有多种资源可供选择,人们曾多次尝试就应优先选择哪种 ATE 资源达成共识。本章将更详细地回顾其中的几种资源,并讨论允许总误差 (ATE) 与观察到的总分析误差 (TAE) 之间的区别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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