Lot-to-Lot Variation.

Q1 Biochemistry, Genetics and Molecular Biology
Clinical Biochemist Reviews Pub Date : 2018-05-01
Simon Thompson, Douglas Chesher
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Abstract

Lot-to-lot variation affecting calibrators and reagents is a frequent challenge that limits the laboratory's ability to produce consistent results over time. This variation is not without clinical consequence and there are several well-documented examples of adverse clinical outcomes. It is important that laboratories have procedures in place for quantification of this inaccuracy, and for determining whether the amount of variation is acceptable for the release of patient results. Various approaches have been taken to the assessment of new lots, including the evaluation protocol published by the Clinical and Laboratory Standards Institute (CLSI). Internal quality control and external quality assurance material is often not commutable, and so the use of native patient samples is preferred. Published evaluation protocols differ significantly in ease of use and statistical rigour, and some may be underpowered to detect a clinically meaningful change between lots. Furthermore, current protocols (including the CLSI protocol) will not detect cumulative shifts between reagent lots. This shortcoming may at least partly be addressed by laboratories adopting moving patient averages or similar quality procedures. Collaboration and data-sharing between laboratories and manufacturers also has an important role to play in the detection of lot-to-lot variation. While the laboratory may take steps to evaluate and detect variation, the ideal is to reduce variation between lots at the point of manufacture. Using appropriate acceptance criteria based on medical need or biological variation requirements instead of some arbitrary percentage may go some steps toward achieving this.

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逐批变更。
影响校准器和试剂的批次间变化是一个常见的挑战,它限制了实验室随着时间的推移产生一致结果的能力。这种变异并非没有临床后果,而且有几个充分记录的不良临床结果的例子。重要的是,实验室有适当的程序来量化这种不准确度,并确定变异量是否可接受,以发布患者结果。已经采取了各种方法来评估新批次,包括临床和实验室标准研究所(CLSI)发布的评估方案。内部质量控制和外部质量保证材料通常是不可交换的,因此优选使用本地患者样本。已公布的评估方案在易用性和统计严谨性方面存在显著差异,有些方案可能无法检测批次之间有临床意义的变化。此外,当前的协议(包括CLSI协议)将不会检测试剂批次之间的累积偏移。这一缺点至少可以通过实验室采用移动患者平均数或类似的质量程序来部分解决。实验室和制造商之间的协作和数据共享在检测批次间的差异方面也发挥着重要作用。虽然实验室可能会采取措施来评估和检测变化,但理想的做法是在制造点减少批次之间的变化。使用基于医疗需求或生物变异要求的适当验收标准,而不是一些任意的百分比,可能会朝着实现这一目标迈出一些步伐。
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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来源期刊
Clinical Biochemist Reviews
Clinical Biochemist Reviews Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
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