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,Lei Yu,Tingting Hu,Bin Wu
出处
期刊:Expert Opinion on Drug Safety [Taylor & Francis]
卷期号:22 (11): 1143-1148 被引量:5
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.
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