医学
不良事件报告系统
优势比
不利影响
双氯芬酸
梅德林
医学名词
天疱疮
数据库
药物警戒
逻辑回归
叶状天疱疮
内科学
药物流行病学
置信区间
可能性
多元分析
药物不良反应
回顾性队列研究
毒品类别
重症监护医学
类天疱疮
作者
Yandong Niu,Haitao Lu,Lei He,Zhanbo Wang,Xinsuo Duan
出处
期刊:Medicine
[Wolters Kluwer]
日期:2025-09-12
卷期号:104 (37): e44497-e44497
被引量:1
标识
DOI:10.1097/md.0000000000044497
摘要
Pemphigus is a rare yet serious autoimmune skin disease. This study aimed to identify the drugs most commonly associated with pemphigus risk using the Federal drug administration adverse event reporting system (FAERS) database. Data on drugs and adverse events between 2004 and the second quarter of 2024 were obtained from the FAERS database. The medical dictionary for regulatory activities (MedDRA) was used to identify pemphigus cases, whereas the DrugBank database was used to determine the generic names of the medications. Four signal quantification methods were used for the analysis: odds ratio, proportional reporting ratio, Bayesian confidence propagation neural network, and empirical Bayesian geometric mean. Additionally, the timing of drug-induced pemphigus was calculated using Weibull shape parameters. Finally, potential factors affecting pemphigus were identified in the FAERS database using univariate and multivariate logistic regression analyses. Of the 7315 adverse event reports linked to pemphigus, diclofenac sodium was involved in 1227 cases, which was the highest number. Disproportionality analysis Disproportionality analysis identified the top 5 drugs that caused adverse reactions: diclofenac sodium, abatacept, tocilizumab, and alendronate sodium. Based on the time to onset of drug-induced pemphigus, the Weibull shape parameter (0.60) indicated that pemphigus induced by this class of drugs was classified as an early failure. Seven independent risk factors related to drugs were identified through multivariable analysis, including diclofenac sodium, abatacept, tocilizumab, alendronate sodium, secukinumab, cetirizine, and chlorhexidine, odds ratio >1 for each. FAERS database was analyzed to identify drugs with strong pemphigus signals, which can be used as a guide for standardizing drug use in clinical practice.
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