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Analysis of immune-related adverse events caused by immune checkpoint inhibitors using the Japanese Adverse Drug Event Report database

机译:使用日本不利药物事件报告数据库的免疫检查点抑制剂免疫相关不良事件分析

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Purpose: The aim of our study was to characterize the clinical features of immune-related adverse events (irAEs) associated with immune checkpoint inhibitors (ICIs) in a real-world setting using the Japanese Adverse Drug Event Report (JADER) database.Metho ds: The irAEs were defined using the preferred terms of the Medical Dictionary for Regulatory Activities. irAEs were categorized as follows: adrenal insufficiency, colitis, eye diseases, hematological disorder, hepatitis, hyperthyroidism, hypopituitarism, hypothyroidism, myasthenia gravis, myocarditis, nephritis/renal dysfunction, pneumonitis, rash, and type 1 diabetes mellitus. We used several indices such as reporting odds ratio (ROR) to assess disproportionality in pharmacovigilance data, time-to-onset analysis using Weibull shape parameters, and the association rule mining technique to evaluate possible risk factors between variables in the spontaneous reporting system database.
机译:目的:我们的研究目的是利用日本药物不良事件报告(JADER)数据库,在现实环境中描述与免疫检查点抑制剂(ICIs)相关的免疫相关不良事件(IRAE)的临床特征。方法:使用医学词典中用于监管活动的首选术语定义IRAE。IRAE分类如下:肾上腺功能不全、结肠炎、眼病、血液病、肝炎、甲状腺功能亢进、垂体功能低下、甲状腺功能减退、重症肌无力、心肌炎、肾炎/肾功能不全、肺炎、皮疹和1型糖尿病。我们使用了一些指标,如报告优势比(ROR)来评估药物警戒数据中的不均衡性,使用威布尔形状参数进行发病时间分析,以及使用关联规则挖掘技术来评估自发报告系统数据库中变量之间可能的风险因素。

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