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清除率受损研究中模拟健康受试者方法的操作特征

Operating Characteristics of the Simulated Healthy Participant Approach in Impaired Clearance Studies.

作者信息

Gupta Sana, Purohit Vivek, Wang Yuchen, Prybylski John P

机构信息

Department of Statistics, University of Connecticut, Storrs, Connecticut, U.S.A.

Pharmacometrics and Systems Pharmacology, Pfizer, Groton, Connecticut, U.S.A.

出版信息

AAPS J. 2025 Jan 22;27(1):32. doi: 10.1208/s12248-025-01019-8.

Abstract

Minimizing harm is a cornerstone of ethical research practices. A drug that has undergone extensive clinical pharmacological testing in healthy participants (HPs) and a diverse selection of patients can be described with a sufficiently predictive population pharmacokinetic (PopPK) model. In impaired clearance trials, recruitment is minimized and underpowered for all but major exposure differences. Virtual HP arms have been reported to support similar conclusions to conventional impaired clearance studies, and further minimize potential harm of drug exposure without medical benefit by eliminating an arm of the study. However, the extent to which the conventional analysis of impairment studies compare to the simulation approach is unknown. Here we assess the operating characteristics of the virtual cohort approach along with the conventional approach through controlled simulations. These simulations included a simple, widely accessible PopPK model and several internal models that have been used in a previous meta-analysis of the virtual cohort approach. In the pairwise comparisons assessed, the virtual cohort simulation approach had greater power per sample size than the conventional approach and the same power under the null hypothesis. Given key methodological differences, it is recommended that the simulation and conventional approaches be treated as having approximately the same power under equivalent conditions. These results provide a strong justification for the use of the virtual cohort approach when an adequate PopPK model is available, minimizing unnecessary exposure to study drugs that will not benefit healthy study participants.

摘要

将危害降至最低是伦理研究实践的基石。一种在健康受试者(HPs)和多种患者群体中经过广泛临床药理学测试的药物,可以用一个具有充分预测性的群体药代动力学(PopPK)模型来描述。在清除率受损试验中,除了主要暴露差异外,招募人数被降至最低且样本量不足。据报道,虚拟健康受试者组可支持与传统清除率受损研究相似的结论,并且通过消除研究组进一步将无医疗益处的药物暴露的潜在危害降至最低。然而,受损研究的传统分析与模拟方法的比较程度尚不清楚。在此,我们通过对照模拟评估虚拟队列方法与传统方法的操作特征。这些模拟包括一个简单、易于获取的PopPK模型以及先前在虚拟队列方法的荟萃分析中使用的几个内部模型。在评估的成对比较中,虚拟队列模拟方法每样本量的检验效能高于传统方法,在零假设下二者检验效能相同。鉴于关键的方法学差异,建议在等效条件下将模拟方法和传统方法视为具有大致相同的检验效能。当有合适的PopPK模型可用时,这些结果为使用虚拟队列方法提供了有力的依据,可将不会使健康研究参与者受益的研究药物的不必要暴露降至最低。

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