Ren Gaocan, Chi Xiansu, Huang Pingping, Zhang Jinhui, Ding Yanqiu, Guo Lijun, Shang Qinghua, Ma Xiaochang
Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Graduate School, China Academy of Chinese Medical Sciences, Beijing, China.
Sci Rep. 2025 Mar 26;15(1):10359. doi: 10.1038/s41598-025-95021-x.
To use the FDA Adverse Event Reporting System (FAERS) database to identify drugs associated with orthostatic hypotension. Adverse event reports of orthostatic hypotension from Q1 2004 to Q3 2024 were obtained from the FAERS and JADER databases. We employed algorithms such as the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN), and the multi-item gamma Poisson shrinker (MGPS) for signal detection. JADER database was used to validate the findings from FAERS analysis. We identified 15,737 adverse events associated with orthostatic hypotension, involving 15,480 patients for analysis. The patient demographic included 6,745 males (43.5%) and 7,248 females (46.8%), with the largest group comprising adults over 65 years (7,654 cases, 49.4%). The three drugs with the highest ROR risk signals were terazosin [ROR (95% CI): 153.96 (124.57-190.28)], rasagiline [ROR (95% CI): 37.46 (29.99-46.78)], and doxazosin [ROR (95% CI): 37.06 (31.32-43.86)]. Apomorphine, abalopatine and levodopa were associated with the shortest onset time of orthostatic hypotension. Most of the signal detection results from the FAERS database were verified in the JADER database. Drugs associated with orthostatic hypertension still focused on cardiovascular and nervous system drugs. This study employed the FAERS database to identify 33 drugs that may be potentially linked to orthostatic hypotension. Medical workers should remain vigilant regarding the risk of these drugs causing orthostatic hypotension.
利用美国食品药品监督管理局不良事件报告系统(FAERS)数据库来识别与体位性低血压相关的药物。从FAERS和日本药品不良反应报告数据库(JADER)获取2004年第一季度至2024年第三季度体位性低血压的不良事件报告。我们采用报告比值比(ROR)、比例报告比(PRR)、贝叶斯置信传播神经网络(BCPNN)和多项目伽马泊松收缩器(MGPS)等算法进行信号检测。使用JADER数据库验证FAERS分析的结果。我们识别出15737例与体位性低血压相关的不良事件,涉及15480名患者进行分析。患者人口统计学数据包括6745名男性(43.5%)和7248名女性(46.8%),最大的群体是65岁以上的成年人(7654例,49.4%)。ROR风险信号最高的三种药物是特拉唑嗪[ROR(95%置信区间):153.96(124.57 - 190.28)]、雷沙吉兰[ROR(95%置信区间):37.46(29.99 - 46.78)]和多沙唑嗪[ROR(95%置信区间):37.06(31.32 - 43.86)]。阿扑吗啡、阿巴洛帕汀和左旋多巴与体位性低血压的起效时间最短有关。FAERS数据库的大多数信号检测结果在JADER数据库中得到了验证。与体位性高血压相关的药物仍集中在心血管和神经系统药物上。本研究利用FAERS数据库识别出33种可能与体位性低血压潜在相关的药物。医护人员应警惕这些药物导致体位性低血压的风险。