Pharmacokinetics and Drug Metabolism, Amgen Inc, Thousand Oaks, California 91320, USA.
AAPS J. 2011 Jun;13(2):291-8. doi: 10.1208/s12248-011-9271-z. Epub 2011 Apr 3.
Incurred sample reanalysis (ISR) is recommended by regulatory agencies to demonstrate reproducibility of validated methods and provide confidence that methods used in pharmacokinetic and toxicokinetic assessments give reproducible results. For macromolecules to pass ISR, regulatory recommendations require that two thirds of ISR samples be within 30% of the average of original and reanalyzed values. A modified Bland-Altman (mBA) analysis was used to evaluate whether total error (TE), the sum of precision and accuracy, was predictive of a method's passing ISR and to identify potential contributing parameters for ISR success. Simulated studies determined minimum precision requirements for methods to have successful ISR and evaluated the relationship between precision and the probability of a method's passing ISR acceptance criteria. The present analysis evaluated ISRs conducted for 37 studies involving ligand-binding assays (LBAs), with TEs ranging from 15% to 30%. An mBA approach was used to assess accuracy and precision of ISR, each with a threshold of 30%. All ISR studies met current regulatory criteria; using mBA, all studies met the accuracy threshold of 30% or less, but two studies (5%) failed to meet the 30% precision threshold. Simulation results showed that when an LBA has ≤15% imprecision, the ISR criteria for both the regulatory recommendation and mBA would be met in 99.9% of studies. Approximately 71% of samples are expected to be within 1.5 times the method imprecision. Therefore, precision appears to be a critical parameter in LBA reproducibility and may also be useful in identifying methods that have difficulty passing ISR.
重现性样品分析(ISR)被监管机构推荐用于验证方法的重现性,并确保在药代动力学和毒代动力学评估中使用的方法可提供重现性结果。对于大分子药物,要通过 ISR,监管建议要求三分之二的 ISR 样品与原始值和重新分析值的平均值的偏差在 30%以内。采用改良的 Bland-Altman(mBA)分析来评估总误差(TE),即精密度和准确性的总和,是否可以预测方法是否通过 ISR,并确定 ISR 成功的潜在贡献参数。模拟研究确定了方法通过 ISR 的最小精密度要求,并评估了精密度与方法通过 ISR 接受标准的概率之间的关系。本分析评估了 37 项涉及配体结合测定(LBA)的研究中的 ISR,TE 范围为 15%至 30%。采用 mBA 方法评估 ISR 的准确性和精密度,每个都有 30%的阈值。所有 ISR 研究均符合当前监管标准;使用 mBA,所有研究均符合准确性阈值低于或等于 30%的标准,但有两项研究(5%)未达到 30%的精密度阈值。模拟结果表明,当 LBA 的不精密度≤15%时,监管建议和 mBA 的 ISR 标准在 99.9%的研究中都将得到满足。大约 71%的样品预计在方法不精密度的 1.5 倍以内。因此,精密度似乎是 LBA 重现性的关键参数,也可能有助于识别难以通过 ISR 的方法。