Department of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Key Laboratory of Urinary System Diseases of Jiangxi Province, Nanchang, China.
Expert Opin Drug Saf. 2024 Nov;23(11):1419-1426. doi: 10.1080/14740338.2024.2405126. Epub 2024 Sep 18.
Drug-induced urinary retention (DIUR) can severely impact patient quality of life and complicate treatment. This study investigates the incidence and characteristics of DIUR using data from the FDA Adverse Event Reporting System (FAERS) over 20 years.
FAERS reports related to urinary retention (UR) from Q1 2004 to Q1 2024 were analyzed. Potential causative drugs were identified, and the top 30 drugs with the most UR reports were ranked. Statistical disproportionality analyses, including Proportional Reporting Ratio (PRR) and Reporting Odds Ratio (ROR), were conducted to detect significant safety signals.
Out of 17,703,515 reports in the FAERS database 28,423 cases of UR were identified. Anticholinergics, antidepressants, and opioids were the most frequently implicated drug classes. The highest ROR and PRR values were observed for drugs like ezogabine. Additionally, less commonly associated drugs, such as adalimumab and others, were implicated, suggesting potential under-recognition of this adverse effect. However, these associations should be interpreted with caution, as they do not confirm a direct causal relationship.
This study underscores the importance of pharmacovigilance in identifying and understanding DIUR. Further research is needed to confirm these findings and develop strategies to manage and reduce the risk, improving patient outcomes.
药物引起的尿潴留(DIUR)会严重影响患者的生活质量,并使治疗复杂化。本研究利用 FDA 不良事件报告系统(FAERS) 20 多年的数据,调查 DIUR 的发生率和特征。
分析了 2004 年第 1 季度至 2024 年第 1 季度 FAERS 中与尿潴留(UR)相关的报告。确定了潜在的致病药物,并对报告 UR 最多的前 30 种药物进行了排名。进行了统计不均衡性分析,包括比例报告比(PRR)和报告比值比(ROR),以检测显著的安全信号。
在 FAERS 数据库的 17703515 份报告中,确定了 28423 例 UR 病例。抗胆碱能药物、抗抑郁药和阿片类药物是最常涉及的药物类别。 Ezogabine 等药物的 ROR 和 PRR 值最高。此外,还涉及到一些不太常见的相关药物,如阿达木单抗等,这表明对这种不良反应的潜在认识不足。然而,应该谨慎解释这些关联,因为它们并不能确认直接的因果关系。
本研究强调了药物警戒在识别和理解 DIUR 方面的重要性。需要进一步的研究来证实这些发现,并制定策略来管理和降低风险,改善患者的预后。