Post-Marketing Safety Concerns with Efgartigimod alfa: A Pharmacovigilance Analysis Based on the Food and Drug Administration Adverse Event Reporting System Database.

IF 3.2 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Clinical Epidemiology Pub Date : 2025-09-16 eCollection Date: 2025-01-01 DOI:10.2147/CLEP.S514738
Jinlong Huang, Hanyun Ye, Jingyang Lin, Dan Luo, Ping Huang, Xiaochun Zheng
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引用次数: 0

Abstract

Aim: Efgartigimod alfa (EA) is a novel US Food and Drug Administration (FDA) approved neonatal Fc receptor-targeting drug; however, its real-world adverse event (AE) profile remains underexplored.

Methods: AE reports primarily related to EA were retrieved from the US FDA Adverse Event Reporting System database for the fourth quarter of 2021 to the third quarter of 2024. Disproportionality analysis using Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network, and Multi-item Gamma Poisson Shrinker algorithms was employed to detect signals of AEs.

Results: Our study processed 3,182 AE reports related to EA, revealing 57 signals that met the criteria of the ROR, PRR, Bayesian Confidence Propagation Neural Network, and Multi-item Gamma Poisson Shrinker algorithms across 14 system organ classes. Notably, the most significant signal in the System Organ Class was "Surgical and medical procedures", whereas the most significant signal in Preferred Term was "Bulbar Palsy". Some unexpected over-the-counter AEs, including falls, choking, sepsis, nephrolithiasis, and atrial fibrillation, were also observed. The median onset time of EA-related AEs was 101.5 d (interquartile range 27-260). The AE risk model associated with EA should be referred to as "early failure", with the likelihood of AEs decreasing over time.

Conclusion: This study highlights the potential AEs and risks associated with the clinical use of EA; the analysis provides significant evidence regarding the clinical safety of EA.

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Efgartigimod alfa的上市后安全性问题:基于美国食品药品监督管理局不良事件报告系统数据库的药物警戒分析。
目的:Efgartigimod alfa (EA)是美国食品和药物管理局(FDA)批准的一种新型新生儿Fc受体靶向药物;然而,其真实世界的不良事件(AE)概况仍未得到充分研究。方法:从美国FDA不良事件报告系统数据库中检索2021年第四季度至2024年第三季度主要与EA相关的AE报告。歧化分析采用报告比值比(ROR)、比例报告比(PRR)、贝叶斯置信传播神经网络和多条目伽玛泊松收缩算法检测ae信号。结果:我们的研究处理了3182份与EA相关的AE报告,揭示了57个信号在14个系统器官类别中符合ROR、PRR、贝叶斯置信度传播神经网络和多项目伽玛泊松收缩算法的标准。值得注意的是,系统器官类别中最重要的信号是“外科和医疗程序”,而首选术语中最重要的信号是“球麻痹”。一些意想不到的非处方不良反应,包括跌倒、窒息、败血症、肾结石和房颤,也被观察到。ea相关ae的中位发病时间为101.5 d(四分位数范围27-260)。与EA相关的AE风险模型应称为“早期失败”,AE的可能性随着时间的推移而降低。结论:本研究强调了与EA临床应用相关的潜在ae和风险;分析结果为EA的临床安全性提供了重要依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Clinical Epidemiology
Clinical Epidemiology Medicine-Epidemiology
CiteScore
6.30
自引率
5.10%
发文量
169
审稿时长
16 weeks
期刊介绍: Clinical Epidemiology is an international, peer reviewed, open access journal. Clinical Epidemiology focuses on the application of epidemiological principles and questions relating to patients and clinical care in terms of prevention, diagnosis, prognosis, and treatment. Clinical Epidemiology welcomes papers covering these topics in form of original research and systematic reviews. Clinical Epidemiology has a special interest in international electronic medical patient records and other routine health care data, especially as applied to safety of medical interventions, clinical utility of diagnostic procedures, understanding short- and long-term clinical course of diseases, clinical epidemiological and biostatistical methods, and systematic reviews. When considering submission of a paper utilizing publicly-available data, authors should ensure that such studies add significantly to the body of knowledge and that they use appropriate validated methods for identifying health outcomes. The journal has launched special series describing existing data sources for clinical epidemiology, international health care systems and validation studies of algorithms based on databases and registries.
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