Comparability of Pharmacodynamics Profiles with an Application to aBiosimilar Study

Jason J. Z. Liao, Yifang Li, Xinhua Jiang
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引用次数: 1

Abstract

It is often interest of comparing two pharmacodynamics (PD) profiles in drug development. Currently the common practice is borrowing the bioequivalence (BE) rule in pharmacokinetics analysis for pharmacodynamics comparison in terms of the area under the effect curve (AUEC) of the pharmacodynamics profile. However, this may not be a feasible and sensitive enough approach since the bioequivalence approach is based on the summarized parameter of the pharmacodynamics profile rather than on directly comparison of the whole pharmacodynamics profile. In this paper, a simple but efficient and pragmatic pharmacodynamics comparability index is proposed to evaluate the comparability of pharmacodynamics profiles by comparing the whole pharmacodynamics profiles directly. Different biological products have different variability and the CV% can be in a very large range. The PD comparability index can take account of the reference knowledge into consideration in assessment but the AUEC BE type approach ignores the reference variability. The good properties of the proposed approach are illustrated through simulated data and a real dataset.
药效学图谱的可比性及其在同类研究中的应用
在药物开发中,比较两种药效学(PD)谱通常是令人感兴趣的。目前的常见做法是借用药代动力学分析中的生物等效性(BE)规则,根据药效学图谱的效应曲线下面积(AUEC)进行药效学比较。然而,这可能不是一种可行且足够敏感的方法,因为生物等效性方法是基于药效学图谱的汇总参数,而不是基于整个药效学图谱直接比较。本文提出了一个简单、高效、实用的药效学可比性指标,通过直接比较整个药效学图谱来评价药效学图谱的可比性。不同的生物产物具有不同的可变性,并且CV%可以在非常大的范围内。PD可比性指数可以在评估中考虑参考知识,但AUEC BE型方法忽略了参考变异性。通过模拟数据和真实数据集说明了该方法的良好性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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