Yavne Yarden, Amar Shamir Reut, Shapiro Michael, Shepshelovich Daniel
Department of Medicine 'T,' Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Expert Opin Drug Saf. 2023 Jan-Jun;22(6):463-468. doi: 10.1080/14740338.2023.2172160. Epub 2023 Jan 27.
The Food and Drug Administration (FDA)'s Adverse Event Reporting System (FAERS) is a post-marketing surveillance system which relies on spontaneous reports of adverse drug reactions (ADRs). Our objective was to evaluate how black box warning (BBW) updates impact ADR reporting rates.
We searched MEDWATCH for all BBW updates issued between January 2014 and December 2016 and categorized them as new, major, and minor. Rates of relevant ADR reports from the FAERS database in the 4 years preceding and following a BBW update were assessed among the different BBW categories.
Forty BBW updates were included (16 major, 3 new, and 21 minor). A meaningful increase in the proportion of relevant ADRs of all ADRs reported following BBW updates was documented for 53% of new or major updates and 24% of minor updates ( = 0.06). The median percentage of reported relevant ADRs increased by 5% following new and major BBW updates and decreased by 30% following minor BBW updates ( = 0.3).
Reporting of adverse events to the FAERS database is affected by the severity and timing of related BBW updates, highlighting the drawbacks of spontaneous reporting systems. Regulators should promote proactive pharmacovigilance strategies to cope with these limitations.
美国食品药品监督管理局(FDA)的不良事件报告系统(FAERS)是一个上市后监测系统,它依赖于药品不良反应(ADR)的自发报告。我们的目标是评估黑框警告(BBW)更新如何影响ADR报告率。
我们在MEDWATCH中搜索了2014年1月至2016年12月期间发布的所有BBW更新,并将其分类为新的、主要的和次要的。在不同的BBW类别中,评估了BBW更新前后4年FAERS数据库中相关ADR报告的发生率。
共纳入40次BBW更新(16次主要更新、3次新更新和21次次要更新)。记录显示,53%的新更新或主要更新以及24%的次要更新在BBW更新后报告的所有ADR中,相关ADR的比例有显著增加(P = 0.06)。新的和主要的BBW更新后,报告的相关ADR的中位数百分比增加了5%,次要BBW更新后下降了30%(P = 0.3)。
向FAERS数据库报告不良事件受到相关BBW更新的严重程度和时间的影响,凸显了自发报告系统的缺点。监管机构应推广积极的药物警戒策略以应对这些局限性。