A real-world disproportionality analysis of the FDA adverse event reporting system events for ibuprofen

医学 不利影响 不良事件报告系统 布洛芬 重症监护医学 药物警戒 药理学 环境卫生
作者
Yikuan Du,Zhuoming Guo,Bijun Xu,Yujia Yang,Mianda Hu,Yanghui Hu,Yurong Yang,Mengting Zhang,Zhenjie Wang,Xiaochun Guo,Yixing Huang,Jinfeng Zhu,Weichui Zhang,Chun Yang
出处
期刊:Expert Opinion on Drug Safety [Taylor & Francis]
卷期号:24 (2): 201-211 被引量:2
标识
DOI:10.1080/14740338.2024.2348556
摘要

Ibuprofen is commonly used as an over-the-counter (OTC) antipyretic and analgesic. As the frequency of its use has increased, there has been a corresponding increase in reports of associated adverse events (AEs). However, these events have not been systematically reported in the literature. Meanwhile, the importance of effective pharmacovigilance in evaluating the benefits and risks of drugs is being recognized. The data was obtained indirectly from FAERS using the OpenVigil 2 database, lexically mapped using software such as MySQL, Microsoft Excel, and the R language, and then subjected to four more rigorous algorithms to detect risk signals associated with ibuprofen AEs. By analyzing data from the past 18 years, 878 ibuprofen-related AEs were identified as primary AEs. Notably, unexpected reproductive system and breast diseases, etc., which were unexpected, were observed as important system organ classes (SOCs) associated with ibuprofen. Among the 651 preferred terms (PTs) that simultaneously satisfy the four arithmetic methods, renal tubular acidosis and lip oedema are proposed as new signals for ibuprofen AEs. This study explores the important and valuable potential AEs and ADRs of ibuprofen at the SOC and PT levels, respectively. To provide a reference on decision-making for ibuprofen to promote rational clinical dosing.
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