Suppr超能文献

模拟健康受试者的药代动力学用于肾和肝损伤研究:方法的回顾性评估。

Simulating Healthy Participant Pharmacokinetics for Renal and Hepatic Impairment Studies: Retrospective Assessment of the Approach.

机构信息

Pharmacometrics and Systems Pharmacology, Pfizer, Groton, Connecticut, USA.

Pharmacometrics and Systems Pharmacology, Pfizer, South San Francisco, California, USA.

出版信息

AAPS J. 2024 Jun 6;26(4):65. doi: 10.1208/s12248-024-00928-4.

Abstract

The recruitment of a parallel, healthy participants (HPs) arm in renal and hepatic impairment (RI and HI) studies is a common strategy to assess differences in pharmacokinetics. Limitations in this approach include the underpowered estimate of exposure differences and the use of the drug in a population for which there is no benefit. Recently, a method was published by Purohit et. al. (2023) that leveraged prior population pharmacokinetic (PopPK) modeling-based simulation to infer the distribution of exposure ratios between the RI/HI arms and HPs. The approach was successful, but it was a single example with a robust model having several iterations of development and fitting to extensive HP data. To test in more studies and models at different stages of development, our catalogue of RI/HI studies was searched, and those with suitable properties and from programs with available models were analyzed with the simulation approach. There were 9 studies included in the analysis. Most studies were associated with models that would have been available at the time (ATT) of the study, and all had a current, final model. For 3 studies, the HP PK was not predicted well by the ATT (2) or final (1) models. In comparison to conventional analysis of variance (ANOVA), the simulation approach provided similar point estimates and confidence intervals of exposure ratios. This PopPK based approach can be considered as a method of choice in situations where the simulation of HP data would not be an extrapolation, and when no other complicating factors are present.

摘要

在肾脏和肝脏损伤(RI 和 HI)研究中招募平行的健康参与者(HPs)手臂是评估药代动力学差异的常用策略。这种方法的局限性包括对暴露差异的估计不足以及在没有获益的人群中使用药物。最近,Purohit 等人(2023 年)发表了一种方法,利用基于群体药代动力学(PopPK)建模的模拟来推断 RI/HI 手臂和 HPs 之间暴露比的分布。该方法是成功的,但这只是一个示例,具有稳健的模型,经过多次迭代开发和拟合大量 HP 数据。为了在更多的研究和不同开发阶段的模型中进行测试,我们搜索了 RI/HI 研究目录,并对具有合适特性和具有可用模型的方案进行了分析,采用模拟方法。共有 9 项研究纳入分析。大多数研究与研究时(ATT)可用的模型相关,并且所有研究都有当前的最终模型。对于 3 项研究,ATT(2)或最终(1)模型不能很好地预测 HPs 的 PK。与传统的方差分析(ANOVA)相比,模拟方法提供了相似的暴露比点估计值和置信区间。在模拟 HP 数据不会外推且不存在其他复杂因素的情况下,这种基于 PopPK 的方法可以被视为一种首选方法。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验