基于FAERS数据库的西洛他唑安全信号挖掘OA
Cilostazol Safety Signal Mining Based on FAERS Database
目的 挖掘西洛他唑不良事件信号,为临床合理用药提供依据.方法 通过美国食品药品管理局(FDA)不良事件报告系统(FAERS)收集 2004 年 1 月-2024 年 6 月西洛他唑的药品不良事件(ADE),利用目前最新的MedDRA27.0 系统器官分类(SOC)和首选术语(PT)对ADE进行标准化分类,采用报告比值法(ROR)、比例报告比值法(PRR)、贝叶斯可信区间递进神经网络(BCPNN)三种方法联用进行西洛他唑ADE风险信号挖掘.结果 采用ROR、PRR、BCPNN三法联用分析获得 307 个阳性信号,涉及心脏器官疾病、各类神经系统疾病、各类检查及胃肠系统疾病等 24 个SOC.报告数排在前 10 位的PT分别为贫血、心力衰竭、病情恶化、心悸、大脑梗死、心动过速、意识丧失、房颤、大脑出血、血压降低,均为西洛他唑说明书记载的ADE;信号强度排在前 10 位PT是心脏静脉穿孔、基底节血肿、冠状血管重建术、脑高灌注综合征、动脉再狭窄、闭塞性血栓性血管炎、壳核出血、动脉夹层、阵发性心动过速、血栓性脑梗死,均为严重ADE.结论 西洛他唑在心脏器官、神经系统方面的严重ADE值得关注,临床应加强警惕.
Objective To explore the signal of cilostazol adverse events,and to provide the basis for clinical rational drug use.Methods The adverse drug events(ADE)of cilostazol from January 2004 to June 2024 were collected from the US Food and Drug Administration(FDA)Adverse Event Reporting System(FAERS)database.The ADE were standardized using the latest MedDRA27.0 system organ classification(SOC)and preferred term(PT)and the Risk Signal Mining of ADE was conducted by using the report ratio method(ROR),the proportion report ratio method(PRR),and the Bayesian credible interval incremental neural network(BCPNN)method.Results A total of 307 positive signals were obtained by ROR,PRR and BCPNN combined analysis,involving 24 SOCs such as heart organ diseases,various nervous system diseases,various examinations and gastrointestinal system diseases.The top 10 PTs in terms of reporting numbers were anemia,heart failure,deterioration,palpitations,cerebral infarction,tachycardia,loss of consciousness,atrial fibrillation,cerebral hemorrhage,and hypotension,all of which were ADE listed in the drug's package insert.The top 10 PTs for signal strength were cardiac venous perforation,basal ganglia hematoma,coronary artery bypass grafting,cerebral hyperperfusion syndrome,arterial restenosis,thromboangiitis obliterans,thalamic hemorrhage,aortic dissection,paroxysmal tachycardia,and cerebral thromboembolism,all of which were serious ADE.Conclusion The serious ADE of cilostazol in the cardiovascular and nervous systems should be closely monitored,and clinicians should be vigilant.
刘帅;杨礼超
南通市通州区人民医院药学部,江苏 南通 226300南通市通州区人民医院药学部,江苏 南通 226300
医药卫生
西洛他唑信号挖掘药品不良事件药学监护
CilostazolSignal miningAdverse drug eventsPharmacovigilance
《医学信息》 2026 (6)
73-77,5
江苏省药学会-天晴医院药学科研项目(编号:Q202133)
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