医学
不良事件报告系统
食品药品监督管理局
药品
药物不良事件
青光眼
不利影响
事件(粒子物理)
数据库
药品管理局
遗产管理(遗嘱认证法)
医疗急救
急诊医学
药理学
眼科
物理
量子力学
计算机科学
政治学
法学
作者
Shi‐Nan Wu,Xiaohong Chen,Dan Yan,Yuqian Wang,Shaopan Wang,Wenying Guan,Caihong Huang,Jiaoyue Hu,Lei Zhu
摘要
Abstract Background This study aims to assess the risk of drug‐associated glaucoma and track its epidemiological characteristics using real‐world data. Methods Adverse event reports from the Food and Drug Administration Adverse Event Reporting System (FAERS) from January 2004 to December 2023 were analysed. Disproportionality analysis and the Bayesian Confidence Propagation Neural Network algorithm were used. The study classified drugs associated with glaucoma, assessed risk levels, and compared drug‐induced times across different categories. Results Eight hundred and five drugs were linked to glaucoma in the FAERS database. Disproportionality analysis identified 46 drugs with significant risk, mainly adrenergic medications (clobetasol propionate, fluocinolone acetonide), antihypertensives (hydrochlorothiazide), insulin (insulin human), anticholinergics (umeclidinium, darifenacin), VEGF inhibitors (brolucizumab, faricimab), and psychotropics (topiramate, ziprasidone). The top three high‐risk drugs were clobetasol propionate, umeclidinium, and fluocinolone acetonide. The shortest drug‐induced times were observed with indacaterol, salmeterol, and umeclidinium. Anticholinergic medications had the shortest drug‐induced time among all categories. Females (62.5%) and the elderly (average age 63.5 ± 16.8 years) were predominantly affected. Reports of drug‐associated glaucoma increased over the years. Conclusion Preventing drug‐associated glaucoma is more effective than treatment. Identifying the risk and drug‐induced times of systemic and ophthalmic drugs can reduce occurrence risk. Clinical practitioners should be vigilant and inform patients of these risks.
科研通智能强力驱动
Strongly Powered by AbleSci AI