Paixão Paulo, Silva Nuno, Guerreiro Rita Bento, Blake Kevin, Bonelli Milton, Morais José Augusto Guimarães, García-Arieta Alfredo, Gouveia Luís Filipe
Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, 1649-004 Lisboa, Portugal.
EMA's Pharmacokinetics Working Party, 1083 HS Amsterdam, The Netherlands.
Pharmaceutics. 2022 Oct 31;14(11):2349. doi: 10.3390/pharmaceutics14112349.
Bioequivalence (BE) of products containing narrow therapeutic index (NTI) drugs in the European Union is currently established by demonstrating that the 90% confidence interval for the ratio of the population geometric means of the test compared to the reference product’s AUC, and in certain cases Cmax, is included within the tighter acceptance range of 90.00−111.11%. An alternative criterion, consisting of narrowed limits based on the within-subject variability of the reference product, was recently proposed. Its performance for a three-period partial replicate design was tested by simulation in terms of power to show BE, type I error (T1E) and sample size requirements. A new condition, a constraint on the test-to-reference geometric mean ratio (cGMR) to be contained within the range of 90.00−111.11%, was also tested. The probability of showing BE when the products differ more than 10% was increased, but only if the reference product’s within-subject variability was moderate-to-high. The inclusion of the additional cGMR limited this. An increase in the T1E (<7%) was observed. The inclusion of the additional cGMR did not change the highest inflation of the T1E. Finally, a significant sample size reduction was observed and the inclusion of the cGMR usually did not increase the required sample size.
在欧盟,含窄治疗指数(NTI)药物产品的生物等效性(BE)目前是通过证明试验产品与参比产品的AUC总体几何均值之比,以及在某些情况下Cmax之比的90%置信区间包含在90.00 - 111.11%这个更严格的接受范围内来确定的。最近有人提出了一种替代标准,该标准基于参比产品的受试者内变异性,采用了更窄的限度。通过模拟测试了其在三周期部分重复设计中显示BE的效能、I型错误(T1E)和样本量要求。还测试了一个新条件,即对试验与参比几何均值比(cGMR)的限制,使其包含在90.00 - 111.11%范围内。当产品差异超过10%时显示BE的概率增加了,但前提是参比产品的受试者内变异性为中度至高度。纳入额外的cGMR限制了这一点。观察到T1E有所增加(<7%)。纳入额外的cGMR并没有改变T1E的最高增幅。最后,观察到样本量显著减少,并且纳入cGMR通常不会增加所需样本量。