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A real-world disproportionality analysis of FDA Adverse Event Reporting System (FAERS) events for baricitinib

医学 医学名词 不良事件报告系统 药物警戒 不利影响 入射(几何) 优势比 急诊医学 内科学 重症监护医学 数据库 计算机科学 光学 物理
作者
Ling Peng,Kui Xiao,Silvia Ottaviani,Justin Stebbing,Ying-Jie Wang
出处
期刊:Expert Opinion on Drug Safety [Taylor & Francis]
卷期号:19 (11): 1505-1511 被引量:71
标识
DOI:10.1080/14740338.2020.1799975
摘要

Background Baricitinib is approved for the treatment of rheumatoid arthritis (RA). The authors retrospectively investigated adverse events (AEs) by data-mining a self-reporting database to better understand toxicities, especially since it has been used during the coronavirus disease 2019 (COVID-19) pandemic.Methods A reporting odds ratio (ROR) was used to detect the risk signals from the data in the US Food and Drug Administration (FDA) adverse event reporting system database (FAERS). The definition relied on system organ class (SOCs) and preferred terms (PTs) by the Medical Dictionary for Regulatory Activities (MedDRA).Results The search retrieved 1,598 baricitinib-associated cases within the reporting period: 86 PTs with significant disproportionality were retained. Infections including 'herpes zoster,' 'oral herpes,' and 'herpes virus infection' were found at a similar rate to those reported in trials, and such events were rare. Reports emerged for several thrombotic adverse events, while these events were also rare. Unexpected safety signals as opportunistic infections were detected. Serious outcomes as death and life-threatening outcomes accounted for 9.76% of the reported cases.Conclusions The incidence of these AEs does not appear above the background expected. These data are consistent with routine clinical observations and suggest the importance of pharmacovigilance.
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