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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Nole应助欢呼阁采纳,获得10
1秒前
搜集达人应助JCP采纳,获得30
2秒前
随风完成签到,获得积分20
2秒前
yjt完成签到 ,获得积分10
3秒前
3秒前
何佳慧完成签到 ,获得积分10
4秒前
老刀完成签到,获得积分10
4秒前
Owen应助开心人达采纳,获得10
4秒前
Accepted完成签到,获得积分10
5秒前
一期一会发布了新的文献求助10
5秒前
桐桐应助jin采纳,获得10
5秒前
依灵完成签到,获得积分10
6秒前
可爱的小树苗完成签到,获得积分10
6秒前
科研小垃圾完成签到,获得积分0
6秒前
救救太阳完成签到,获得积分10
7秒前
yyyyy_发布了新的文献求助10
9秒前
蓝橙完成签到,获得积分10
9秒前
文承龙完成签到,获得积分10
10秒前
英俊的铭应助吉吉采纳,获得10
10秒前
宗剑完成签到,获得积分10
10秒前
vanliu完成签到,获得积分10
10秒前
小1完成签到 ,获得积分10
10秒前
大胆的乐荷完成签到,获得积分10
10秒前
小奕完成签到,获得积分0
10秒前
清爽念文完成签到,获得积分10
11秒前
先锋老刘001完成签到,获得积分10
11秒前
thynkz完成签到,获得积分10
11秒前
zy完成签到,获得积分10
13秒前
紧张的绮玉完成签到 ,获得积分10
13秒前
Never stall完成签到 ,获得积分10
13秒前
慢无墓地完成签到 ,获得积分10
13秒前
科研通AI6.4应助mm宝贝采纳,获得10
13秒前
科研通AI6.4应助liwen采纳,获得10
13秒前
我避他锋芒完成签到,获得积分10
14秒前
Xueyu完成签到,获得积分10
14秒前
8R60d8应助奉雨眠采纳,获得20
14秒前
李健应助甩饼采纳,获得20
15秒前
skmksd完成签到,获得积分10
15秒前
303完成签到,获得积分10
16秒前
嘟嘟嘟cpu完成签到,获得积分10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7739058
求助须知:如何正确求助?哪些是违规求助? 9287966
关于积分的说明 20185737
捐赠科研通 7317031
什么是DOI,文献DOI怎么找? 3306023
关于科研通互助平台的介绍 2458537
邀请新用户注册赠送积分活动 2315956