Jacobson R H
Diagnostic Laboratory, College of Veterinary Medicine, Cornell University, Ithaca, NY 14852-5786, USA.
Rev Sci Tech. 1998 Aug;17(2):469-526. doi: 10.20506/rst.17.2.1119.
Assay validation is a series of the following interrelated processes: an experimental process: reagents and protocols are optimised by experimentation to detect the analyte with accuracy and precision, and to ensure repeatability and reproducibility in the assay. a relative process: its diagnostic sensitivity and diagnostic specificity are calculated relative to test results obtained from reference animal populations of known infection/exposure status. a conditional process: classification of animals in the target population as infected or uninfected is conditional upon how well the reference animal population used to validate the assay represents the population to which the assay will be applied (accurate predictions of the infection status of animals from test results and predictive values of positive and negative test results are conditional upon the estimated prevalence of disease/infection in the target population) an incremental process: confidence in the validity of an assay increases over time when use confirms that it is robust as demonstrated by accurate and precise results (the assay may also achieve increasing levels of validity as it is upgraded and extended by adding reference populations of known infection status) a continuous process: the assay remains valid only insofar as the assay continues to provide accurate and precise results as proved through statistical verification. Therefore, validation of diagnostic assays for infectious diseases does not end with a time-limited series of experiments based on a few reference samples. Rather, it is a process that also requires constant vigilance and maintenance, along with reassessment of its performance characteristics for each population of animals to which it is applied. It is certain that the current movement to develop and implement accreditation criteria for veterinary diagnostic laboratories may be of little worth unless there is some assurance that the assays conducted in such laboratories are properly validated. Fully accredited laboratories may generate highly reproducible test results, but the results may still misclassify animals as to their infection status due to an improper assay validation process. Therefore, assay validation is foundational to the core product of veterinary diagnostic laboratories--test results and their interpretation.
一个实验过程:通过实验优化试剂和方案,以准确、精确地检测分析物,并确保检测的可重复性和再现性。一个相对过程:其诊断敏感性和诊断特异性是相对于从已知感染/暴露状态的参考动物群体获得的检测结果计算得出的。一个条件过程:目标群体中动物被分类为感染或未感染取决于用于验证检测的参考动物群体对该检测所应用群体的代表性如何(根据检测结果对动物感染状态的准确预测以及阳性和阴性检测结果的预测值取决于目标群体中疾病/感染的估计流行率)一个渐进过程:随着使用确认检测结果准确、精确,表明检测可靠,对检测有效性的信心会随时间增加(随着通过添加已知感染状态的参考群体对检测进行升级和扩展,检测也可能达到更高水平的有效性)一个持续过程:只有当检测通过统计验证继续提供准确、精确的结果时,检测才仍然有效。因此,传染病诊断检测的验证并非以基于少数参考样本的限时系列实验结束。相反,它是一个还需要持续警惕和维护的过程,同时要对其应用的每个动物群体的性能特征进行重新评估。可以肯定的是,除非能确保在此类实验室进行的检测得到适当验证,否则当前制定和实施兽医诊断实验室认可标准的举措可能没什么价值。完全认可的实验室可能会产生高度可重复的检测结果,但由于检测验证过程不当,结果仍可能将动物的感染状态误分类。因此,检测验证是兽医诊断实验室核心产品——检测结果及其解释的基础。