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| 發表人 | 討論主題 | 發表時間 | 討論數 |
| 陳怡璇 | 藥物引起的尿滯留:使用美國 FDA 與加拿大藥物資料庫的臨床藥物安全性研究 | 2025/5/26 下午 05:39:00 | 0 |
| 原 文 | 題 目 | Drug-induced urinary retention: a real-world pharmacovigilance study using FDA and Canada vigilance databases |
| 作 者 | Dai X, Yu K, Chang Y, Hou Y. | |
| 出 處 | Front Pharmacol. 2025 Jan 6;15:1466875. | |
| 出版日期 | January 2025 | |
| 評 論 |
尿滯留(Urinary Retention, UR)是臨床上常見但不可忽視的泌尿系統異常,指的是患者無法完全排空膀胱,可能為急性(突發性無法排尿)或慢性(長期排尿不完全)形式。急性UR通常需緊急導尿處置,而慢性UR則可能導致泌尿道感染、膀胱結石甚至腎臟損傷。其成因多樣,包括前列腺肥大、神經性膀胱功能障礙、泌尿道發炎及藥物副作用等。近年研究指出,藥物相關的不良反應可能是導致UR的潛在因素之一,約佔所有病例的 10%。 本研究由多位學者合作,首次利用美國 FDA 不良事件通報系統(FAERS)與加拿大不良反應資料庫(CVAR),系統性分析藥物引起的尿滯留案例,並評估相關藥物風險趨勢與發生時間,藉此提升臨床用藥安全性與風險管理能力。 研究方法與資料來源 1.基本統計 2.高風險藥物 3.新風險驗證 4.發生時間 臨床意涵與建議 研究限制與未來方向 結論 |
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| abstract |
Background: Urinary retention (UR) is a clinical condition where patients cannot fully empty their bladder. Although numerous drugs are associated with UR, comprehensive and reliable studies identifying drugs that induce UR are scarce. Methods: This study leveraged data from the FDA Adverse Event Reporting System (FAERS) and the Canadian Vigilance Adverse Reaction (CVAR) database to explore adverse events (AEs) related to UR from 2004 to Q1 2024. The top 50 drugs were analyzed for annual reporting trends using linear regression. Disproportionality analysis using the reporting odds ratio (ROR) method, with P-values adjusted via Bonferroni correction, identified significant signals, which were then validated against drug labels and re-evaluated using the CVAR database. Time-to-onset analysis was also performed. Results: From 2004 to Q1 2024, FAERS recorded 17,785,793 AEs, with 16,183 (0.09%) identified as UR cases. The median age among these cases was 65 years, with males comprising 53.4%. There were significant annual increases in UR reports associated with antineoplastic agents (0.19% per year) and antidiabetic drugs (0.09% per year), while reports linked to bronchodilators decreased (-0.53% per year). Disproportionality analysis revealed significant signals for 34 drugs (68%), with the highest RORs observed in Fesoterodine, Mirabegron, and Solifenacin. Initial signal detection identified potential new UR signals for Abiraterone, Valacyclovir, Fluoxetine, Empagliflozin, Clopidogrel, and Amlodipine, with CVAR confirming signals for Abiraterone, Fluoxetine, and Empagliflozin. The median time to onset of UR was 29 days, with over half of the cases occurring within 30 days of initiating medication. Conclusion: The study identifies a rising trend in drug-related UR reports over the past 2 decades. The validation of new signals for Abiraterone, Fluoxetine, and Empagliflozin underscores the critical need for continuous drug safety monitoring and targeted research to better understand the mechanisms behind drug-induced UR. |
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