首页|基于FAERS数据库的抗体药物偶联物相关间质性肺疾病不良事件信号挖掘

基于FAERS数据库的抗体药物偶联物相关间质性肺疾病不良事件信号挖掘

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目的:基于美国食品和药品管理局不良反应事件报告系统(FAERS),对抗体药物偶联物(ADC)的间质性肺疾病不良情况进行数据挖掘,为医院安全应用ADC提供依据。方法:提取2004年第一季度(Q1)至2022年第二季度(Q4)的FAERS数据进行歧化分析,采用报告比值比法(reporting odds ratio,ROR)和信息成分法(information component,IC)法评估ADC和间质性肺疾病之间的关系,收集76个季度中ADC相关的间质性肺疾病病例的详细信息,以分析人口统计学特征。结果:共提取到以8个ADC为首要怀疑药品的不良事件报告104 159例,ADC相关间质性肺疾病系统类不良事件报告1 232例,检索到7种ADC药物信号,分别为:德曲妥珠(TD)ROR=38。35,IC=4。94;维布妥昔单抗(BV)ROR=5。25,IC=2。17;维汀-恩弗妥单抗(EV)ROR=4。97,IC=1。82;维汀-珀拉妥珠单抗(PV)ROR=3。80,IC=1。55;恩美曲妥珠单抗(T-DM1)ROR=3。71,IC=1。67;奥星-吉妥珠单抗(GO)ROR=2。68,IC=1。35;戈沙妥组单抗(SG)ROR=1。98,IC=0。41。间质性肺疾病不良事件病例死亡结局报告:TD 104例(26。20%),BV 51 例(24。29%),EV14例(30。43%),PV16例(22。86%),T-DM1 36例(17。56%),SG 1 例(3。70%),GO 23例(69。70%),奥星-艾诺妥珠单抗(IO)3例(33。33%)。相关不良事件发生时间分析:BV用药首日事件发生数占总例数的10%以上;BV、IO、EV、PV和SG发生间质性肺疾病类事件中位时间在1~3个给药疗程(21~63d)之间。结论:基于FAERS数据库的信号挖掘结果提示应重视ADC药物相关间质性肺疾病类事件风险,加强临床用药监护,降低不良反应对患者预后和生活质量的影响。
Mining adverse events of interstitial lung disease associated with antibody-drug conjugate based upon FAERS database
OBJECTIVE To conduct data mining on the adverse events of interstitial lung disease associated with antibody-drug conjugate(ADC)to provide rationales for safe clinical use of ADC based upon the U.S.FDA Adverse Event Reporting Sys-tem(FAERS).METHODS From the first quarter of 2004(Q1)to the fourth quarter of 2022(Q4),the FAERS data were extracted for disproportionality analysis.The methods of reporting odds ratio(ROR)and information component(IC)were uti-lized for evaluating the relationship between ADC and interstitial lung disease.Detailed profiles of ADC-related interstitial lung disease cases were collected for 76 quarters.The demographic characteristics were examined.RESULTS A total of 104,159 adverse event reports were extracted with 8 ADC drugs as the primary suspected drugs.There were 1,232 reports of interstitial lung disease-associated adverse events.Seven ADC signals were identified as trastuzumab deruxtecan(TD,ROR=38.35,IC=4.94);brentuximab vedotin(BV,ROR=5.25,IC=2.17);enfortumab vedotin(EV,ROR=4.97,IC=1.82);polatuzumab vedotin(PV,ROR=3.80,IC=1.55);ado-trastuzumab emtansine(T-DM1,ROR=3.71,IC=1.67);gemtuzumab ozogamicin(GO,ROR=2.68,IC=1.35)and sacituzumab govitecan(SG,ROR=1.98,IC=0.41).Case fatality outcome report for adverse events of interstitial lung disease:There were TD(n=104,26.20%),BV(n=51,23.97%),EV(n=14,30.43%),PV(n=16,22.86%),T-DM1(n=36,17.56%),SG(n=1,3.70%),GO(n=23,69.70%)and inotuzumab ozogamicin(IO)(n=3,33.33%).Analysis of occurrence time of related adverse events:the number of events at Day 1 of BV treatment accounted for ≥10%of total number of cases;median time of interstitial lung disease-like events of BV,IO,EV,PV and SG was between 1 and 3 courses of dosing(21-63 days).CONCLUSION Higher attention should be paid to the risk of ADC drug-related lung injury events.And clinical medication monitoring should be strengthened for minimizing the impact of adverse reactions on patient out-come and quality-of-life.

antibody-drug conjugateinterstitial lung diseaseFAERSdata miningadverse reactions study

单晴、刘霞、陈燕、郭宇航、郭晋敏

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潍坊医学院药学院,山东潍坊 261053

海军军医大学药学院临床药学教研室,上海 200433

中国人民解放军联勤保障部队第九六○医院临床药学科,山东济南 250000

抗体药物偶联物 间质性肺疾病 FAERS 数据挖掘 不良反应研究

国家自然科学基金

81973327

2024

中国医院药学杂志
中国药学会

中国医院药学杂志

CSTPCD北大核心
影响因子:1.198
ISSN:1001-5213
年,卷(期):2024.44(15)