Yu Xihui, Zhong Jiahong, Zhuang Xuemei, Lin Zhuomiao, Fu Hongbo, Zhang Yaofeng
Department of Pharmacy, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Department of Clinical Pharmacy, Meizhou People's Hospital (Huangtang Hospital), Meizhou, Guangdong, China.
Front Pharmacol. 2025 Apr 30;16:1533902. doi: 10.3389/fphar.2025.1533902. eCollection 2025.
One of the adverse events of greatest concern in patients receiving biologic therapies is the risk of infection, as infections are among the primary causes of premature mortality in this population, especially in the elderly. Because of the absence of head-to-head studies and limited duration and sample size of randomized controlled trials in the older adults, we analyzed the risk of infection associated with tumor necrosis factor (TNF) inhibitors by real-world adverse event analysis, seeking to identify medications with a reduced risk of infection and offering medication options for sensitive patients.
A retrospective pharmacovigilance investigation was undertaken utilizing the FDA Adverse Event Reporting System (FAERS) database from the first quarter of 2010 to the fourth quarter of 2023. Drug-associated infections and infestations associated with TNF-α inhibitors (adalimumab, infliximab, etanercept, golimumab, and certolizumab pegol) were evaluated using a disproportionality analysis. The Reporting Odds Ratio (ROR) and Bayesian Confidence Propagation Neural Network (BCPNN) were utilized to detect AE signals.
A total case of 3,239,508 cases were included after removing duplicates. Among the protective signals, etanercept showed the lowest IC value in septic shock (IC = -3.23). Notably, golimumab showed the highest IC value in tuberculosis (IC = 2.44). The five TNF-α inhibitors have high signals in mycobacterial infectious disorders. In the stratification analysis, golimumab was associated with a highest risk of infections and infestations in ankylosing spondylitis patients (ROR = 3.07, 95%CI = 2.70-3.50; IC = 1.26, 95%CI = -0.42-2.92). Univariate and multivariate logistic regression analysis indicated that gender, weight and medicine may be influencing factors for the AEs of infections and infestations (p < 0.05).
The research highlighted that the difference in the risk of infection in the elderly who used TNF-α inhibitors between various TNF-α inhibitors, adverse events and therapeutic indications, respectively. The use of TNF-α inhibitors increased the infection risk in older adults. Etanercept exhibited the lowest infection risk, whereas certolizumab pegol manifested the highest risk in infections and infestations. Doctors need to pay close attention to the appearance of mycobacterial infectious disorders in older adults treating with TNF-α inhibitors, which displayed the strongest signal.
接受生物疗法的患者最令人担忧的不良事件之一是感染风险,因为感染是该人群过早死亡的主要原因之一,尤其是在老年人中。由于缺乏针对老年人的头对头研究,且随机对照试验的持续时间和样本量有限,我们通过真实世界不良事件分析来分析与肿瘤坏死因子(TNF)抑制剂相关的感染风险,旨在识别感染风险较低的药物,并为敏感患者提供用药选择。
利用2010年第一季度至2023年第四季度的美国食品药品监督管理局不良事件报告系统(FAERS)数据库进行回顾性药物警戒调查。使用不成比例分析评估与TNF-α抑制剂(阿达木单抗、英夫利昔单抗、依那西普、戈利木单抗和赛妥珠单抗)相关的药物相关感染和寄生虫感染。采用报告比值比(ROR)和贝叶斯置信传播神经网络(BCPNN)来检测不良事件信号。
去除重复病例后,共纳入3239508例病例。在保护信号中,依那西普在感染性休克中的信息系数值最低(IC = -3.23)。值得注意的是,戈利木单抗在结核病中的信息系数值最高(IC = 2.44)。这五种TNF-α抑制剂在分枝杆菌感染性疾病中具有高信号。在分层分析中,戈利木单抗与强直性脊柱炎患者感染和寄生虫感染的风险最高相关(ROR = 3.07,95%置信区间 = 2.70 - 3.50;IC = 1.26,95%置信区间 = -0.42 - 2.92)。单因素和多因素逻辑回归分析表明,性别、体重和药物可能是感染和寄生虫感染不良事件的影响因素(p < 0.05)。
该研究强调了在使用TNF-α抑制剂的老年人中,不同TNF-α抑制剂、不良事件和治疗适应症之间感染风险存在差异。使用TNF-α抑制剂会增加老年人的感染风险。依那西普表现出最低的感染风险,而赛妥珠单抗在感染和寄生虫感染方面表现出最高风险。医生在治疗使用TNF-α抑制剂的老年人时,需要密切关注分枝杆菌感染性疾病的出现,其显示出最强的信号。