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Gini Index-Based Maximum Concentration and Area Under the Curve Split Points for Analysing Adverse Event Occurrence in Bioequivalence Studies

机译:基尼指数的基于曲线分裂点的最大浓度和面积,用于分析生物等效性研究的不良事件发生

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Abstract Background Few publications focus on adverse events (AEs) or suspected adverse drug reactions (SADRs) registered during bioequivalence (BE) studies. Objective The aim was to characterise AEs reported in BE studies at a Mexican investigation site between the years 2011 and 2016, and to estimate occurrence using maximum plasma concentration ( C max ) and area under the plasma concentration curve from administration to last observed concentration at time t (AUC 0– t ) values, with the Gini index method. Methods Reported AEs were recorded from 61 BE studies that were conducted by Laboratorios Clínicos de Puebla de Bioequivalencia, which is a third-party laboratory certified by the Mexican health authorities to conduct BE studies. AEs were then characterised in terms of occurrence, study period, nature, type, severity, causality and outcomes. The Gini index method was then applied, after excluding AEs that were classified as not drug-related, and distributions of SADRs were quantified according to estimated C max and AUC 0– t cut-off values. Results We classified the occurrence of SADRs in 61 BE studies after calculating Gini index-based pharmacokinetic cut-off values for 42 drugs evaluated in healthy Mexicans. Although more SADRs occurred above C max and/or AUC 0– t cut-off values in most studies, some therapeutic classes (cardiovascular and respiratory systems) were associated with larger numbers of SADRs occurring below split points. Conclusions The present data confirm the safety of BE studies, but indicate the need for further assessments of inter-individual differences according to the incidence of SADRs. The Gini index method represents an easy statistical approach for analysing safety data collected from BE studies and offers a risk management strategy for new generic medicines.
机译:摘要背景少数出版物关注在生物等效(是)研究期间注册的不良事件(AES)或疑似不良药物(SADR)。目标目的是在2011年和2016年期间在墨西哥调查部位的研究中表征AES,并在血浆浓度曲线下使用血浆浓度曲线下的最大血浆浓度(C max)和面积在时间下估算T(AUC 0-T)值,具有基尼索引方法。方法报告的AES是由LaboratoriosClínicosdepieblade Buebla de Bioequivia进行的61种研究,该研究是墨西哥卫生当局进行研究的第三方实验室。然后在发生的情况下表征AES,研究期,性质,类型,严重程度,因果关系和结果。然后施加基尼指数方法,除了归类为非药物相关的AES之后,根据估计的C MAX和AUC0-T截止值量化SADRS的分布。结果我们分类了61赛的SADRS的发生在计算基于GINI指数的药代动力学截止值后,在健康的墨西哥人评估的42种药物的药代动力学截止值。虽然在大多数研究中,在C max和/或Auc0-t的截止值上方发生了更多Sadrs,但是一些治疗类(心血管和呼吸系统)与较大数量的SADR相关联,但在分裂点以下发生。结论目前的数据确认了成为研究的安全性,但表明根据Sadrs的发病率,需要进一步评估个体间差异。 GINI指数方法代表了一种简单的统计方法,用于分析从研究中收集的安全数据,并为新的通用药物提供风险管理策略。

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