Seizures associated with antibiotics: a real-world disproportionality analysis of FAERS database

医学 不良事件报告系统 抗生素 优势比 药品 癫痫 不利影响 数据库 内科学 药理学 精神科 计算机科学 生物 微生物学
作者
Dan Zou,Rui Zhang,Li Yu,Tingting Hu,Bin Wu
出处
期刊:Expert Opinion on Drug Safety [Informa]
卷期号:22 (11): 1143-1148
标识
DOI:10.1080/14740338.2023.2234825
摘要

Drug-induced seizures are a common occurrence in clinical practice, with research indicating that around 6% of initial seizures are due to drug toxicity. The use of antibiotics is one such cause of drug-related seizures. Previous systematic review has identified specific antibiotics that pose a risk of seizures, but a comprehensive analysis of a large patient sample is needed to determine the risk associated with various drugs.This study aimed to evaluate the association between seizures and various antibiotics that are presently accessible.To identify potential risk signals from the US Food and Drug Administration adverse event reporting system (FAERS) database, a disproportionality analysis was conducted. The reporting odds ratio (ROR) using the frequency approach and the information component (IC) using the Bayesian approach were used to detect signals. The median time-to-onset of seizure, as well as the Weibull distribution parameters were calculated to analyze the onset time.A total of 14,407,157 FAERS reports were analyzed.10 antibiotics were associated with seizures that were defined by 41 preferred terms. Onset time were aligned with the wear out failure type profile.This study identified 10 antibiotics that showed significant associations with seizures. Imipenem-cilastatin had the highest seizure ROR.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
研友_Zrl2pL发布了新的文献求助10
1秒前
英姑应助你是哪个小猪采纳,获得10
1秒前
GJ发布了新的文献求助10
3秒前
3秒前
wsatm应助️语采纳,获得10
3秒前
4秒前
姜无招完成签到,获得积分10
4秒前
凤凰应助9SS1采纳,获得50
5秒前
5秒前
5秒前
温暖冬萱发布了新的文献求助10
6秒前
zz发布了新的文献求助10
8秒前
8秒前
婷婷发布了新的文献求助10
8秒前
李健应助Kevin Stuart采纳,获得10
8秒前
矮小的安阳完成签到,获得积分10
9秒前
小杨完成签到 ,获得积分10
9秒前
NeilJW发布了新的文献求助30
10秒前
10秒前
慕青应助研友_Zrl2pL采纳,获得10
11秒前
11秒前
程阿sir发布了新的文献求助20
12秒前
闪闪山水发布了新的文献求助10
12秒前
135gcl完成签到,获得积分20
12秒前
ffff完成签到,获得积分10
12秒前
13秒前
cistronic发布了新的文献求助10
13秒前
斯文败类应助科研通管家采纳,获得10
14秒前
天天快乐应助科研通管家采纳,获得10
14秒前
打打应助科研通管家采纳,获得10
14秒前
大模型应助科研通管家采纳,获得10
14秒前
李健应助科研通管家采纳,获得10
14秒前
14秒前
14秒前
14秒前
135gcl发布了新的文献求助10
14秒前
summer发布了新的文献求助10
14秒前
14秒前
芒果小布丁完成签到,获得积分10
14秒前
柠檬不吃酸完成签到 ,获得积分10
16秒前
高分求助中
Deactivation and Catalyst Life Prediction of Ultra-Deep HDS Catalyst for Diesel Fractions 1000
Manual of Clinical Microbiology, 4 Volume Set (ASM Books) 13th Edition 1000
Sport in der Antike 800
De arte gymnastica. The art of gymnastics 600
少脉山油柑叶的化学成分研究 530
Electronic Structure Calculations and Structure-Property Relationships on Aromatic Nitro Compounds 500
Berns Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2414196
求助须知:如何正确求助?哪些是违规求助? 2107760
关于积分的说明 5328432
捐赠科研通 1834945
什么是DOI,文献DOI怎么找? 914330
版权声明 560994
科研通“疑难数据库(出版商)”最低求助积分说明 488921