Analysis of Predictors of Adverse Events and Mortality Risk Associated With IL‐6 Inhibitors: A Pharmacovigilance Study Using the FDA Adverse Event Reporting System Database

药物警戒 不良事件报告系统 不利影响 医学 药物不良事件 药理学 药物不良反应 药品
作者
Meilin Fang,Jinglin Li,Zhuang Bo-yang,Weijie Liang,Ling Wang,Cunze Wang,Wujin Chen,Fangqing Cai,Junshan Ruan,Zhengyu Huang,Ye Jin
出处
期刊:Journal of Clinical Pharmacy and Therapeutics [Wiley]
卷期号:2025 (1)
标识
DOI:10.1155/jcpt/5520102
摘要

Aim: This study aimed to investigate post‐marketing adverse events (AEs) of interleukin‐6 (IL‐6) inhibitors, and to explore risk factors for death. Method: Disproportionality analyses were conducted on adverse event cases of IL‐6 inhibitors reported to the US Food and Drug Administration Adverse Event Reporting System (FAERS) from the time of drug launch until the fourth quarter of 2023. Univariate and multivariate logistic regression analyses were carried out utilizing patient‐related clinical information, and prediction models for IL‐6 inhibitor‐related mortality risk were developed by incorporating patient age and weight factors. Results: A total of 63,445 reports were retrieved, with the majority of known age groups falling between 18 and 64 years. Most reports were submitted by consumers and physicians, predominantly from the United States. Tocilizumab was associated with AEs such as drug intolerance and infection, while sarilumab showed symptoms of pain and condition aggravated. Siltuximab was linked to disease progression and thrombocytopenia. The median time to AEs with IL‐6 inhibitors was 74 days (interquartile range [IQR] 10‐311), mostly occurring within 1 month. Factors such as age, propionic acid derivative, infections and infestations, nervous system disorders, and immune system disorders were independent risk factors for deaths related to IL‐6 inhibitor use ( p < 0.05). The mortality risk prediction model demonstrated good discriminatory power and clinical applicability in both the training set (AUC 0.6968) and the validation set (AUC 0.7502). Conclusion: Our postmarketing pharmacovigilance analysis revealed the types and incidence of AEs related to IL‐6 inhibitors. Column line diagrams may be useful for clinical assessment of the occurrence of death and have high clinical utility.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
无名老大给Echo的求助进行了留言
1秒前
木木发布了新的文献求助10
1秒前
桐桐应助木木林采纳,获得10
2秒前
hhh完成签到,获得积分10
2秒前
哈尼恒完成签到,获得积分20
4秒前
4秒前
plmm发布了新的文献求助10
5秒前
正直美女发布了新的文献求助10
6秒前
7秒前
哈尼恒发布了新的文献求助10
8秒前
LU完成签到,获得积分20
8秒前
hhw完成签到,获得积分10
9秒前
cocolu应助平凡的小智采纳,获得10
9秒前
木木完成签到,获得积分10
10秒前
脑洞疼应助淡然珍采纳,获得10
10秒前
CodeCraft应助fuchao采纳,获得10
12秒前
CodeCraft应助qzj采纳,获得10
12秒前
12秒前
12秒前
桑田发布了新的文献求助50
12秒前
12秒前
Ava应助plmm采纳,获得10
12秒前
13秒前
失眠的科研民工完成签到,获得积分10
13秒前
烟花应助无辜的邑采纳,获得10
16秒前
科研通AI5应助正直美女采纳,获得10
17秒前
17秒前
雪白素发布了新的文献求助10
17秒前
李健的小迷弟应助学习通采纳,获得10
17秒前
钟旭发布了新的文献求助10
17秒前
852应助我是垃圾采纳,获得10
17秒前
17秒前
zys发布了新的文献求助10
17秒前
18秒前
华仔应助努力毕业采纳,获得10
18秒前
柠萌完成签到 ,获得积分10
18秒前
19秒前
19秒前
yang完成签到,获得积分10
20秒前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Les Mantodea de Guyane Insecta, Polyneoptera 1000
工业结晶技术 880
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3490396
求助须知:如何正确求助?哪些是违规求助? 3077358
关于积分的说明 9148590
捐赠科研通 2769569
什么是DOI,文献DOI怎么找? 1519799
邀请新用户注册赠送积分活动 704314
科研通“疑难数据库(出版商)”最低求助积分说明 702113