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基于FAERS数据库的抗体药物偶联物相关血液系统不良事件数据挖掘 被引量:2

Data mining of hematological adverse events related to antibody-drug conjugate based on FAERS
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摘要 目的 基于美国食品药品管理局不良事件报告系统(FAERS)数据库,对抗体药物偶联物(ADC)相关血液系统不良事件进行数据挖掘,为临床安全使用ADC药物提供参考。方法 下载FAERS数据库2011年第3季度至2022年第4季度数据,经过去重、名称标准化等数据清洗,提取ADC相关血液系统不良事件,采用报告比值比法和信息成分法进行信号检测。结果 共提取到以8种ADC药物为首要怀疑药品的不良事件报告101 610份,ADC相关血液系统不良事件报告5 768份,其中粒细胞缺乏症涉及3 423例,信号强度从强到弱的药品依次为戈沙妥珠单抗(SG)、奥星-吉妥珠单抗(GO)、维布妥昔单抗(BV)、维汀-珀拉妥珠单抗(PV)、维汀-恩弗妥单抗(EV)、德曲妥珠单抗(TD)、奥星-艾诺妥珠单抗(IO)和恩美曲妥珠单抗(TDM-1);造血细胞缺少症涉及2 327例,信号强度从强到弱的药品依次为IO、SG、BV、EV、PV、TD、TDM-1和GO。ADC药物相关血液系统不良事件临床结局为死亡的病例包括BV179例(16.84%),TDM-1 102例(13.01%),TD 88例(27.08%),GO 12例(16.90%),IO 8例(11.59%),EV 54例(24.32%),PV 22例(27.16%),SG 84例(21.05%)。不良事件发生时间分析显示,TD、IO和SG用药首日事件发生数占总例数的40%以上;TD、GO、IO、EV、PV和SG发生血液系统不良事件中位时间在1个给药疗程(21 d)内。结论 应重视ADC药物相关血液系统不良事件风险,临床用药过程中应密切监测血细胞计数变化,出现异常应及时诊治。 Objective Based on the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database,data mining was conducted on hematological adverse events related to antibody drug conjugates(ADC),providing reference for the safe use of ADC drugs in clinical practice.Methods The report data from the third quarter of 2011 to the fourth quarter of 2022 were retrieved from the FAERS database.After data cleaning such as deduplication and name standardization,extract hematological adverse events related to ADC,and use report odds ratio method and the information component method for signal detection.Results A total of 101610 adverse event reports were extracted,with 8 ADC drugs as the primary suspected drugs,and 5768 ADC related hematological adverse event reports.Among them,3423 cases of agranulocytosis were involved,and the signal intensity from strong to weak were sacituzumab govitecan(SG),gemtuzumab ozogamicin(GO),brentuximab vedotin(BV),polatuzumab vedotin(PV),enfortumab vedotin(EV),trastuzumab deruxtecan(TD),inotuzumab ozogamicin(IO)and ado-trastuzumab emtansine(TDM-1).There were 2327 cases hematopoietic cell deficiency,with signals ranging from strong to weak were IO,SG,BV,EV,PV,TD,TDM-1,and GO.Report with clinical outcome of death of ADC drug related hematological adverse events included BV 179(16.84%),TDM-1102(13.01%),TD 88(27.08%),GO 12(16.90%),IO 8(11.59%),EV 54(24.32%),PV 22(27.16%),and SG 84(21.05%).Adverse event time analysis showed that the number of events on the first day of TD,IO,and SG medication accounts for≥40%of the total number of cases.The median time of hematological adverse events in TD,GO,IO,EV,PV,and SG was within one treatment course(21 days).Conclusion Attention should be paid to the risk of ADC drug-related hematological adverse event,during the clinical medication process,blood cell count changes should be closely monitored,and any abnormalities should be promptly diagnosed and treated.
作者 邓慧杰 刘霞 李冰 单晴 陈燕 郭宇航 郭晋敏 DENG Huijie;LIU Xia;LI Bing;SHAN Qing;CHEN Yan;GUO Yuhang;GUO Jinmin(Department of Clinical Pharmacy,the 960th Hospital of the Joint Logistics Support Force of the Chinese People’s Liberation Army,Jinan 250031,China;Department of Pharmacy,the 960th Hospital of the Joint Logistics Support Force of the Chinese People’s Liberation Army,Jinan 250031,China;Department of Clinical Pharmacy,School of Pharmacy,Naval Medical University,Shanghai 200433,China)
出处 《药物流行病学杂志》 CAS 2024年第2期158-165,共8页 Chinese Journal of Pharmacoepidemiology
基金 国家自然科学基金面上项目(81973327)。
关键词 抗体药物偶联物 血液系统不良事件 FAERS数据库 数据挖掘 报告比值比法 信息成分法 药物警戒 Antibody drug conjugates Hematological adverse events FAERS database Data mining Report ratio ratio method Information component method Pharmacovigilance
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