| アブストラクト | 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. |
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| ジャーナル名 | Clinical & experimental ophthalmology |
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| Pubmed追加日 | 2024/10/26 |
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| 投稿者 | Wu, Shi-Nan; Chen, Xiao-Dong; Yan, Dan; Wang, Yu-Qian; Wang, Shao-Pan; Guan, Wen-Ying; Huang, Caihong; Hu, Jiaoyue; Liu, Zuguo |
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| 組織名 | Xiamen University affiliated Xiamen Eye Center, Fujian Provincial Key Laboratory;of Ophthalmology and Visual Science, Fujian Engineering and Research Center of;Eye Regenerative Medicine, Eye Institute of Xiamen University, School of;Medicine, Xiamen University, Xiamen, China.;Institute of Artificial Intelligence, Xiamen University, Xiamen, China.;Department of Ophthalmology, Xiang'an Hospital of Xiamen University, Xiamen,;China.;Department of Ophthalmology, The First Affiliated Hospital of University of South;China, Hengyang, China. |
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| Pubmed リンク | https://www.ncbi.nlm.nih.gov/pubmed/39460378/ |
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