Novick Steven J, Zhang Xiang, Yang Harry
a Statistical Sciences, MedImmune LLC , Gaithersburg , Maryland , USA.
b Department of Statistics , North Carolina State University , Raleigh , North Carolina , USA.
J Biopharm Stat. 2016;26(5):992-1002. doi: 10.1080/10543406.2016.1148712. Epub 2016 Feb 16.
In a bridging study, the plasma drug concentration-time curve is generally used to assess bioequivalence between the two formulations. Selected pharmacokinetic (PK) parameters including the area under the concentration-time curve, the maximum plasma concentration or peak exposure (Cmax), and drug half-life (T1/2) are compared to ensure comparable bioavailability of the two formulations. Comparability in these PK parameters, however, does not necessarily imply equivalence of the entire concentration-time profile. In this article, we propose an alternative metric of equivalence based on the maximum difference between PK profiles of the two formulations. A test procedure based on Bayesian analysis and accounting for uncertainties in model parameters is developed. Through both theoretical derivation and empirical simulation, it is shown that the new method provides better control over consumer's risk.
在一项桥接研究中,通常使用血浆药物浓度-时间曲线来评估两种制剂之间的生物等效性。比较包括浓度-时间曲线下面积、最大血浆浓度或峰暴露量(Cmax)以及药物半衰期(T1/2)在内的选定药代动力学(PK)参数,以确保两种制剂具有可比的生物利用度。然而,这些PK参数的可比性并不一定意味着整个浓度-时间曲线是等效的。在本文中,我们基于两种制剂PK曲线的最大差异提出了一种等效性的替代指标。开发了一种基于贝叶斯分析并考虑模型参数不确定性的测试程序。通过理论推导和实证模拟表明,新方法能更好地控制消费者风险。