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Retrospective Data Analysis and Proposal of a Practical Acceptance Criterion for Inter-laboratory Cross-validation of Bioanalytical Methods Using Liquid Chromatography/Tandem Mass Spectrometry

机译:液相色谱/串联质谱法对生物分析方法进行实验室间交叉验证的回顾性数据分析和实用标准的建议

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摘要

The purpose of this study is to conduct a retrospective data analysis for inter-laboratory cross-validation studies to set a reasonable and practical acceptance criterion based on a number of cross-validation results. From the results of cross-validation studies for 16 compounds and their metabolites, analytical bias and variation were evaluated. The accuracy of cross-validation samples was compared with that of quality control (QC) samples with statistical comparison of the analytical variation. An acceptance criterion was derived with a confidential interval approach. As the results, while a larger bias was observed for the cross-validation samples, the bias was not fully caused by analytical variation or bias attributable to the analytical methods. The direction of the deviation between the cross-validation samples and QC samples was random and not concentration-dependent, suggesting that inter-laboratory variability such as preparation errors could be a source of bias. A derived acceptance criterion corresponds to one prescribed in the Guideline on bioanalytical method validation from the Ministry of Health, Labour and Welfare in Japan and is a little wider than one in the European Medical Agency. In conclusion, thorough retrospective data analysis revealed potential causes of larger analytical bias in inter-laboratory cross-validation studies. A derived acceptance criterion would be practical and reasonable for the inter-laboratory cross-validation study.
机译:这项研究的目的是对实验室间的交叉验证研究进行回顾性数据分析,以根据许多交叉验证结果设定合理和实用的接受标准。根据对16种化合物及其代谢产物的交叉验证研究结果,评估了分析偏差和变异性。通过分析变异的统计比较,将交叉验证样品的准确性与质量控制(QC)样品的准确性进行了比较。采用机密间隔方法得出了接受标准。结果,虽然在交叉验证样本中观察到较大的偏差,但该偏差并非完全由分析变异或归因于分析方法的偏差引起。交叉验证样本和QC样本之间的偏差方向是随机的,而不是浓度依赖性的,这表明实验室间的变异性(例如制备误差)可能是偏差的来源。推导的接受标准对应于日本厚生劳动省关于生物分析方法验证的准则中规定的标准,并且比欧洲医学机构的标准略宽。总之,彻底的回顾性数据分析揭示了实验室间交叉验证研究中较大的分析偏见的潜在原因。得出的接受标准对于实验室间的交叉验证研究将是实用且合理的。

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