Bioscientia Institut für Medizinische Diagnostik GmbH, MVZ Jena, Germany.
Adv Clin Chem. 2019;90:215-281. doi: 10.1016/bs.acc.2019.01.006. Epub 2019 Mar 9.
Although the measures to improve quality in the clinical laboratory have been enormous in the past years, not least of all due to the introduction of the ISO standards 15189 and 17025, the handling of validation and verification of method performance often still differs widely from laboratory to laboratory. Much of what is published on the topic contains complex statistics and is difficult to implement in routine laboratories. The result is, that this point is often neglected or implemented incorrectly, which in turn can lead to false conclusions about method performances, potentially compromising patient safety or contributing to incorrect diagnoses. As it has long become a standard requirement for accredited laboratories to evaluate and document the analytical performance of all methods not only prior to their first implementation, but also during ongoing operation, there is a need for clear, standardized and practical guidelines on the subject. This review summarizes the current literature on the topic, focusing on the requirements for method validations, or as the case may be, verifications and describes when to validate, when to verify and which statistical tests are appropriate for each. Proper interpretation of statistical test results and acceptance criteria for each procedure are alluded to. Specific topics, which are addressed, are precision and bias verification of quantitative, qualitative and semi-quantitative procedures, method comparisons with Bland-Altman Plots, Passing-Bablok regression analysis, 2×2 contingency tables and bubble charts, linearity studies, analytical sensitivity and specificity, performing carry-over studies and establishing and confirming reference ranges.
尽管过去几年在临床实验室质量方面已经采取了大量措施,尤其是由于引入了 ISO 标准 15189 和 17025,方法性能的验证和确认的处理方法仍然在实验室之间存在很大差异。关于这个主题的很多出版物都包含复杂的统计信息,并且难以在常规实验室中实施。结果是,这一点经常被忽视或错误实施,这反过来又可能导致对方法性能的错误结论,从而危及患者安全或导致错误诊断。由于评估和记录所有方法的分析性能不仅在首次实施之前,而且在持续运行期间已经成为经过认可的实验室的标准要求,因此需要有关该主题的明确、标准化和实用的指南。这篇综述总结了当前关于该主题的文献,重点介绍了方法验证的要求,或者在适当的情况下,验证的要求,并描述了何时进行验证,何时进行验证以及每种情况下适合使用哪些统计检验。还提到了对每个程序的统计检验结果和验收标准的正确解释。所涉及的具体主题包括定量、定性和半定量程序的精密度和偏差验证、Bland-Altman 图法、Passing-Bablok 回归分析、2×2 列联表和气泡图法、线性研究、分析灵敏度和特异性、进行携带研究以及建立和确认参考范围。