免疫检查点抑制剂引起的风湿性免疫相关不良事件: 基于FAERS数据库的信号挖掘研究

Rheumatic Immune-related Adverse Events Induced by Immune Checkpoint Inhibitors: A Signal Detection Study Using the FAERS Database

  • 摘要:
    目的 通过真实世界数据库数据挖掘, 评估免疫检查点抑制剂(immune checkpoint inhibitors, ICIs)引起的风湿性免疫相关不良事件(immune-related adverse events, irAEs)发生情况。
    方法 通过检索美国食品药品监督管理局不良事件报告系统(Food and Drug Administration Adverse Event Reporting System, FAERS)数据库, 筛选2011年1月1日—2025年3月31日不良事件数据。采用报告比值比(reporting odds ratio, ROR)、比例报告比(proportional reporting ratio, PRR)、贝叶斯置信传播神经网络(Bayesian confidence propagation neural network, BCPNN)和多项泊松收缩器(multi-item gamma Poisson shrinker, MGPS)挖掘潜在不良事件信号。
    结果 从数据库中获取ICIs直接引起的风湿性irAEs报告2643份。发生风湿性irAEs的男性患者占比高于女性; 45~74岁年龄段最为多见(49.80%, 1316/2643);报告主体以医师(47.26%, 1249/2643)和患者(19.11%, 505/2643)居多; 引起风湿性irAEs的药物中, 以纳武利尤单抗最为多见(42.41%, 1121/2643), 其次为帕博利珠单抗(35.04%, 926/2643)。在风湿性irAEs类型分布上, 以关节炎(39.86%, 1106/2775)和类风湿关节炎(24.58%, 682/2775)为主。4种信号检测方法显示, 风湿性irAEs与纳武利尤单抗、帕博利珠单抗、西米普利单抗、多塔利单抗、阿维鲁单抗以及瑞拉利单抗这6种ICIs的使用相关。在有明确发生时间记录的819份报告中, 69.72%(571/819)的不良事件发生于用药后120 d内。在有明确不良事件结局记录的2433份报告中, 6.45%(157/2433)的患者死亡, 5.55%(135/2433)的患者残疾, 2.47%(60/2433)的患者出现危及生命情况, 31.98%(778/2433)的患者需住院治疗, 90.59%(2204/2433)为其他严重医疗事件。
    结论 ICIs引起的严重风湿性irAEs及相应检测信号值得临床关注。本研究为风湿性irAEs的临床监测与管理提供了新依据, 对提升ICIs临床应用安全性具有参考价值。

     

    Abstract:
    Objective To evaluate the occurrence of rheumatological immune-related adverse events (irAEs) induced by immune checkpoint inhibitors (ICIs) using real-world database data.
    Methods By searching the Food and Drug Administration Adverse Event Reporting System (FAERS) database, adverseevent data from January 1, 2011, to March 31, 2025, were screened. Signal detection for potential adverse events was performed employing the reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and multi-item gamma Poisson shrinker (MGPS) methods.
    Results A total of 2643 reports of rheumatological irAEs directly induced by ICIs were retrieved from the database. The proportion of male patients experiencing rheumatological irAEs was higher than that of female patients. The age group of 45-74 years accounted for the largest proportion (49.80%, 1316/2643). Physicians (47.26%, 1249/2643) and patients (19.11%, 505/2643) were the primary reporters. Among the drugs causing rheumatological irAEs, nivolumab was the most frequently reported (42.41%, 1121/2643), followed by pembrolizumab (35.04%, 926/2643). In terms of the distribution of rheumatological irAE types, arthritis (39.86%, 1106/2775) and rheumatoid arthritis (24.58%, 682/2775) were the most common. Four signal detection methods indicated associations between rheumatological irAEs and the use of six ICIs: nivolumab, pembrolizumab, cemiplimab, dostarlimab, avelumab, and relatlimab. Among the 819 reports with clear timing of onset, 69.72% (571/819) of adverse events occurred within 120 days after drug administration. Among the 2433 reports with clear outcomes of adverse events, 6.45% (157/2433) of patients died, 5.55% (135/2433) experienced disability, 2.47% (60/2433) had life-threatening conditions, 31.98% (778/2433) required hospitalization, and 90.59% (2204/2433) experienced other serious medical events.
    Conclusions Severe rheumatological irAEs induced by ICIs and the corresponding detection signals warrant clinical attention. This study provides new evidence for the clinical monitoring and management of rheumatological irAEs, offering valuable insights for enhancing the safety of ICIs in clinical practice.

     

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