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基于FAERS数据库的奥马环素不良反应信号挖掘与分析
引用本文:张灿华,苏健芬,付喜花,唐郁宽,彭新生.基于FAERS数据库的奥马环素不良反应信号挖掘与分析[J].现代药物与临床,2023,38(12):3119-3125.
作者姓名:张灿华  苏健芬  付喜花  唐郁宽  彭新生
作者单位:广东医科大学药学院, 广东 东莞 523808;广州市番禺区中心医院药学部, 广东 广州 511400;广州医科大学附属第六医院/清远市人民医院 药学部, 广东 清远 511518;广州市番禺区中心医院感染科, 广东 广州 511400;广州市番禺区中心医院微创介入科, 广东 广州 511400
基金项目:广东省教育厅研究生教育创新计划项目(2023ANLK_046);广州市科技计划项目(202103000002,201904010065)
摘    要:目的 利用美国FDA不良事件报告系统(FAERS)对奥马环素进行药物不良反应(ADR)高危信号挖掘,为临床合理安全使用奥马环素提供参考。方法 下载2018年第4季度至2023年第2季度共19个季度的数据的FAERS数据,采用报告比值比法(ROR)和综合标准法(MHRA)对奥马环素的相关ADR报告数据进行信号挖掘。结果 共获取以奥马环素为首要怀疑药物的ADR报告1 180例,ROR法和MHRA法获得的奥马环素ADR风险信号基本一致,共获得奥马环素ADR信号35个,以植入物部位外渗和牙齿变色的ADR信号最强,且以胃肠道系统疾病(如恶心呕吐)最为多见,有12个ADR未在奥马环素药品说明书中出现。结论 利用FAERS数据库可对奥马环素的ADR信号进行挖掘与分析,可为临床合理安全用药提供依据。

关 键 词:奥马环素  药物不良反应  FAERS数据库  信号挖掘与分析  报告比值比法  综合标准法  植入物部位外渗  牙齿变色  胃肠道系统疾病
收稿时间:2023/7/20 0:00:00

Mining and analysis of omadacycline related adverse drug reaction signals based on FAERS
ZHANG Can-hu,SU Jian-fen,FU Xi-hu,TANG Yu-kuan,PENG Xin-sheng.Mining and analysis of omadacycline related adverse drug reaction signals based on FAERS[J].Drugs & Clinic,2023,38(12):3119-3125.
Authors:ZHANG Can-hu  SU Jian-fen  FU Xi-hu  TANG Yu-kuan  PENG Xin-sheng
Affiliation:School of Pharmacy, Guangdong Medical University, Dongguan 523808, China;Department of Pharmacy, Guangzhou Panyu Central Hospital, Guangzhou 511400, China;Department of Pharmacy, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People''s Hospital, Qingyuan 511518, China;Infectious Disease Department, Guangzhou Panyu Central Hospital, Guangzhou 511400, China;Department of Minimally Invasive Intervention, Guangzhou Panyu Central Hospital, Guangzhou 511400, China
Abstract:Objective To provide guidance for the rational and safe use of omadacycline through mining and analyzing the adverse drug reaction (ADR) signals of omadacycline in FAERS. Methods A total of 19 quarters of FAERS data were downloaded from 2018 Q4 to 2023 Q2 and omadacycline related adverse events were extracted. The reporting odd ratio (ROR) and medicines and healthcare products regulatory agency (MHRA) method were used to detect the ADR signals. Results In the set period, FAERS received a total of 1 180 ADR reports with omadacycline as the primary suspected drug. The risk signals obtained by ROR method and MHRA method were basically the same, and a total of 35 omadacycline ADR signals were obtained. The ADR signals of implant site extravasation and tooth discolouration were the strongest, and the gastrointestinal system diseases (such as nausea and vomiting) were the most common. Totally 12 adverse event signals did not appear in the omadacycline drug instructions. Conclusion The data of FAERS can be used to analyze the ADR signals of omadacycline and provide evidence for clinical safety and rational drug use.
Keywords:omadacycline  adverse drug reaction  FAERS  mining and analysis  reporting odd ratio  medicines and healthcare products regulatory agency  implant site extravasation  teeth discoloration  diseases of gastrointestinal system
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