Department of Pharmaceutics, College of Pharmacy, Center of Pharmacometrics and Systems Pharmacology, University of Florida, Gainesville, FL, USA.
AAPS J. 2013 Apr;15(2):465-76. doi: 10.1208/s12248-013-9453-y. Epub 2013 Jan 24.
Demonstration of equivalence in aerodynamic particle size distribution (APSD) is one key component for establishing bioequivalence of orally inhaled drug products. We previously proposed a modified version of the Chi-square ratio statistic (mCSRS) for APSD equivalence testing and demonstrated that the median of the distribution of the mCSRS (MmCSRS) is a robust metric when test (T) and reference (R) cascade impactor (CI) profiles are identical. Here, we systematically evaluate the behavior of the MmCSRS when T and R CI profiles differ from each other in their mean deposition and variability on a single and multiple sites. All CI profiles were generated by Monte-Carlo simulations based upon modified actual CI data. Twenty thousand sets of 30 T and 30 R CI profiles were simulated for each scenario, and the behavior of the MmCSRS was correlated to metrics that characterize the difference between T and R product in mean deposition and variability. The two key findings were, first, that the MmCSRS is more sensitive to difference between T and R CI profiles on high deposition sites, and second, that a cut-off value for APSD equivalence testing based on the MmCSRS needs to be scaled on the variability of the R product. The former is considered as beneficial for equivalence testing of CI profiles as it decreases the likelihood of failing identical CI profiles by chance, in part, due to increasing analytical variability associated with lower deposition sites. The latter is expected to be important for consistently being able to discriminate equivalent from inequivalent CI profiles.
在空气动力学粒径分布(APSD)等效性的证明是建立吸入性药物产品生物等效性的一个关键组成部分。我们之前提出了一种用于 APSD 等效性检验的卡方比值统计量(CSRS)的修正版本,并证明了当测试(T)和参考(R)级联撞击器(CI)图谱相同时,分布的中位数(mCSRS)是一个稳健的指标。在这里,我们系统地评估了当 T 和 R CI 图谱在单一和多个部位的平均沉积和变异性上彼此不同时,mCSRS 的行为。所有 CI 图谱都是基于修改后的实际 CI 数据通过蒙特卡罗模拟生成的。对于每个场景,都模拟了 30 个 T 和 30 个 R CI 图谱的 20000 组,并且将 mCSRS 的行为与描述 T 和 R 产品在平均沉积和变异性方面差异的指标相关联。两个关键发现是,首先,mCSRS 对高沉积部位 T 和 R CI 图谱之间的差异更敏感;其次,基于 mCSRS 的 APSD 等效性检验的截止值需要根据 R 产品的变异性进行调整。前者被认为有利于 CI 图谱的等效性检验,因为它降低了由于与较低沉积部位相关的分析变异性增加而偶然使相同 CI 图谱失效的可能性。后者预计对于能够始终如一地区分等效和不等效的 CI 图谱非常重要。