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Analysis of the US FDA adverse event reporting system to identify adverse cardiac events associated with hydroxychloroquine in older adults

机译:美国FDA不良事件报告系统分析,以鉴定老年人羟基氯喹相关的不良心脏事件

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摘要

Purpose: The purpose of this study is to analyze the US FDA Adverse Event Reporting System (FAERS) to identify adverse cardiac events of hydroxychloroquine in older adults. Method: A case/non-case method was used to determine adverse events associated with hydroxychloroquine as the primary suspect drug between January 1, 2004, and December 31, 2019, for older adults (>65 years). Adverse events are preferred terms (PTs) defined in MedDRA. We used frequentist approaches, including the reporting odds ratio (ROR) and the proportional reporting ratio (PRR) to measure disproportionality. We used Bayesian approaches to derive information component (IC) value and Empirical Bayesian Geometric Mean (EBGM) score. Signals were defined as the number of reports > 3 and the lower limit of 95% confidence intervals (Cl) of ROR > 2, PRR > 2, IC > 0, EBGM > 1.
机译:目的:本研究旨在分析美国FDA不良事件报告系统(FAERS),以确定老年人羟氯喹的不良心脏事件。方法:在2004年1月1日至2019年12月31日期间,采用病例/非病例方法确定老年人(>65岁)的主要可疑药物羟基氯喹相关不良事件。不良事件是MedDRA中定义的首选术语(PTs)。我们使用了频繁的方法,包括报告优势比(ROR)和比例报告比(PRR)来衡量不均衡性。我们使用贝叶斯方法得出信息成分(IC)值和经验贝叶斯几何平均(EBGM)分数。信号定义为ROR>2、PRR>2、IC>0、EBGM>1的报告数>3和95%置信区间(Cl)下限。

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