免疫检查点抑制剂不良事件信号的挖掘与评价OA
Mining and Evaluation of Adverse Event Signals for Immune Checkpoint Inhibitors
目的 为临床合理使用免疫检查点抑制剂(ICIs)提供参考.方法 提取美国食品和药物管理局不良事件报告系统(FAERS)2011年第 2 季度至 2023 年第 2 季度上报的ICIs(包括伊匹木单抗、纳武利尤单抗、帕博利珠单抗、度伐利尤单抗、阿替利珠单抗)所致药品不良事件(ADE)报告,采用基于比例失衡法的报告比值比(ROR)法和贝叶斯置信度递进神经网络(BCPNN)法挖掘ADE信号,采用监管活动医学词典(MedDRA)26.0 版对ADE阳性信号进行术语标准化,比较不同ICIs致ADE的风险信号强度并分析.结果 共纳入ADE报告 56 749 例(伊匹木单抗 10 572 例、纳武利尤单抗 22 770 例、帕博利珠单抗 11 784 例、阿替利珠单抗 8 930 例、度伐利尤单抗2 693 例).ADE患者以男性、≥60 岁人群为主,上报主要来自美国、日本和法国,主要结局为住院(含住院时间延长)和死亡,年度报告量总体呈上升趋势.累及系统器官分类(SOC)方面,纳武利尤单抗与帕博利珠单抗分布最广(均 23 个SOC),阿替利珠单抗(20 个SOC)、伊匹木单抗(19 个SOC)次之,度伐利尤单抗最少(17 个SOC);伊匹木单抗以胃肠系统疾病占比最高(16.96%),纳武利尤单抗、帕博利珠单抗、阿替利珠单抗及度伐利尤单抗均以全身性疾病及给药部位反应为首要表现,占比分别为 17.57%,12.43%,15.07%,18.24%.高频ADE中,腹泻、发热、皮疹、间质性肺疾病、感染性肺炎及甲状腺功能减退为 4-5 种ICIs共有.信号强度方面,ROR025 值最高ADE,伊匹木单抗为垂体炎(ROR025=697.74)、纳武利尤单抗为暴发性 1 型糖尿病(ROR025=327.96)、帕博利珠单抗为免疫介导性甲状腺功能减退(ROR025=571.93)、阿替利珠单抗为全身免疫激活(ROR025=206.94)、度伐利尤单抗为放射性肺炎(ROR025=2 574.81).ROR值前 20 位的ADE中,共 15 项未载入药品说明书中.高强度信号(IC025≥3)以纳武利尤单抗检出最多(15 项),以暴发性 1 型糖尿病为首要信号(IC025=6.52);伊匹木单抗、帕博利珠单抗各 14 项,最强信号分别为垂体炎(IC025=7.54)、免疫介导性不良反应(IC025=7.00);度伐利尤单抗、阿替利珠单抗各 4 项,最强信号分别为放射性肺炎(IC025=8.06)、免疫介导性肝炎(IC025=3.92);共 4 项ADE未载入药品说明书.结论 5 种ICIs ADE存在显著药物特异性,且检出多项在药品说明书中未收录的潜在不良信号,可为临床个体化识别、监测与防控 5 种ICIs相关不良反应提供参考依据.
Objective To provide reference for the rational clinical use of immune checkpoint inhibitors(ICIs).Methods Adverse drug event(ADE)reports related to ICIs(including ipilimumab,nivolumab,pembrolizumab,durvalumab,and atezolizumab)from the second quarter of 2011 to the second quarter of 2023 were extracted from the U.S.Food and Drug Administration(FDA)Adverse Event Reporting System(FAERS).The reporting odds ratio(ROR)method and the Bayesian confidence propagation neural network(BCPNN)method,both based on disproportionality analysis,were used to mine ADE signals.Positive ADE signals were standardized using the Medical Dictionary for Regulatory Activities(MedDRA)version 26.0.The risk signal intensities of different ICIs were compared and analyzed.Results A total of 56 749 ADE reports were included,accounting for 10 572 for ipilimumab,22 770 for nivolumab,11 784 for pembrolizumab,8 930 for atezolizumab,and 2 693 for durvalumab.ADE patients were predominantly male and aged≥60 years.Reports were mainly submitted from the U.S.,Japan,and France,with hospitalization(including prolonged hospitalization)and death as the primary outcomes.The annual number of reports showed an overall upward trend.In terms of system organ class(SOC)distribution,nivolumab and pembrolizumab covered the widest range(both 23 SOCs),followed by atezolizumab(20 SOCs)and ipilimumab(19 SOCs),with durvalumab covering the fewest(17 SOCs).Gastrointestinal disorders accounted for the highest proportion in ipilimumab(16.96%),while general disorders and administration site conditions were the most common manifestations for nivolumab,pembrolizumab,atezolizumab,and durvalumab,accounting for 17.57%,12.43%,15.07%,and 18.24%,respectively.Among high-frequency ADEs,diarrhea,pyrexia,rash,interstitial lung disease,infectious pneumonia,and hypothyroidism were shared by 4-5 ICIs.In terms of signal intensity,the ADEs with the highest ROR025 values were ipilimumab-associated hypophysitis(ROR025=697.74),nivolumab-associated fulminant type 1 diabetes mellitus(ROR025=327.96),pembrolizumab-associated immune-mediated hypothyroidism(ROR025=571.93),atezolizumab-associated systemic immune activation(ROR025=206.94),and durvalumab-associated radiation pneumonitis(ROR025=2 574.81).Among the top 20 ADEs by ROR value,15 were not listed in the package inserts.For high-intensity signals(IC025≥3),nivolumab detected the most(15 items),with fulminant type 1 diabetes mellitus as the primary signal(IC025=6.52);ipilimumab and pembrolizumab each detected 14 items,with the strongest signals being hypophysitis(IC025=7.54)and immune-mediated adverse reactions(IC025=7.00),respectively;durvalumab and atezolizumab each detected 4 items,with the strongest signals being radiation pneumonitis(IC025=8.06)and immune-mediated hepatitis(IC025=3.92),respectively.A total of four ADEs were not listed in the package inserts.Conclusion The ADEs of five ICIs exhibit significant drug-specific differences,and multiple potential adverse signals not listed in the package inserts were identified.These findings provide a reference for the individualized identification,monitoring,and prevention of ICI-related adverse reactions.
肖洪益;陈涛;刘宇;袁拥华;张福军
重庆医科大学附属第一医院,重庆 400016重庆市第七人民医院,重庆 400054重庆医科大学附属第一医院,重庆 400016重庆医科大学第一临床医学院,重庆 400016重庆医科大学附属第一医院,重庆 400016
医药卫生
免疫检查点抑制剂药物警戒比例失衡法数据挖掘
immune checkpoint inhibitorspharmacovigilancedisproportionality analysisdata mining
《中国药业》 2026 (16)
128-134,7
重庆医科大学未来医学青年创新团队发展支持计划[项目编码W0014].
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