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非奈利酮的上市后安全性:对美国食品药品监督管理局不良事件报告系统的不成比例性分析

Post-marketing safety of finerenone: a disproportionality analysis of the FDA adverse event reporting system.

作者信息

Jin Yiyi, Fan Miao, Zheng Xiaomeng, Zhu Suyan

机构信息

Department of Pharmacy, The First Affiliated Hospital of Ningbo University, Ningbo, China.

出版信息

Expert Opin Drug Saf. 2024 Aug 21:1-6. doi: 10.1080/14740338.2024.2392006.

Abstract

BACKGROUND

Finerenone was approved for the treatment of type 2 diabetes patients with chronic kidney disease. However, the post-marketing safety of finerenone in the real world is unknown.

METHODS

The quarterly reported data related to finerenone from the third quarter of 2021 to the second quarter of 2023 were collected by using the FAERS database. Two disproportionality analysis methods were estimated by using Reporting odds ratio (ROR) and Bayesian confidence propagation neural network (BCPNN).

RESULTS

A total of 1067 adverse events (AEs) were included. Twenty-four kinds of system organ classes (SOCs) were classified for the organs and systems involved and 39 AEs with significant safety signals were identified using ROR and BCPNN at the preferred terms (PTs) level. Most AEs originated from the United States, and the median time to onset of AEs was 13 days. Three hundred and fifty-one (55.5%) reported serious outcome. The proportion of medication combinations was 29.0%. The most commonly reported AEs were the glomerular filtration rate decreased. Safety signals have also been observed in new and unexpected AEs.

CONCLUSION

The analysis of the AE signals may contribute to minimizing the risks associated with its use.

摘要

背景

非奈利酮已被批准用于治疗患有慢性肾脏病的2型糖尿病患者。然而,非奈利酮在现实世界中的上市后安全性尚不清楚。

方法

使用FAERS数据库收集2021年第三季度至2023年第二季度与非奈利酮相关的季度报告数据。采用报告比值比(ROR)和贝叶斯置信传播神经网络(BCPNN)两种不成比例分析方法进行评估。

结果

共纳入1067例不良事件(AE)。对所涉及的器官和系统进行了24种系统器官分类(SOC),并在首选术语(PT)水平上使用ROR和BCPNN识别出39例具有显著安全信号的AE。大多数AE起源于美国,AE的中位发病时间为13天。351例(55.5%)报告了严重结局。联合用药比例为29.0%。最常报告的AE是肾小球滤过率下降。在新的和意外的AE中也观察到了安全信号。

结论

对AE信号的分析可能有助于将其使用相关风险降至最低。

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