Risk of drug-induced pericardial effusion: a disproportionality analysis of the FAERS database.

IF 2.8 3区 医学 Q2 PHARMACOLOGY & PHARMACY
Gaocan Ren, Pingping Huang, Yanqiu Ding, Xiaochang Ma
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引用次数: 0

Abstract

Objective: By using the FAERS database, we aim to identify and assess risk signals of adverse drug events (ADEs) potentially causing pericardial effusion, to inform clinical drug management and promote rational drug use.

Methods: We obtained reports of pericardial effusion events from the FAERS database spanning from the first quarter of 2004 to the second quarter of 2024, and identified the top 50 drugs ranked by report frequency or signal strength. Four algorithms, namely the reported odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and multi-item gamma Poisson shrinker (MGPS), were employed for signal detection of these drugs. Furthermore, for drugs with positive signals, we conducted sensitivity analyses and employed the Weibull shape parameter test to perform a time to onset (TTO) analysis.

Results: We identified 20,057 ADEs related to pericardial effusion, involving 19,693 patients for analysis. The patient population comprised 10,187 males (51.7%) and 7,939 females (40.3%). Adults aged 18-65 years were the largest group (7,798 cases, 39.6%). Regarding clinical outcomes, 9,924 patients (50.4%) experienced hospitalization, and 2,770 cases (14.1%) resulted in death. Ranked by the ROR risk signal strength, the top 3 drugs were hydralazine [ROR (95% CI): 27.11 (22.28-33)], dasatinib [ROR (95% CI): 15.62 (14.07-17.33)], and mesalazine [ROR (95% CI): 8.99 (6.84-11.8)]. We conducted a TTO analysis for the 26 drugs with positive signals. The median TTO and interquartile range (IQR) for the top 3 drugs causing the earliest pericardial effusion were: cytarabine 14 (7.5,38), selexipag 14.5 (4.25, 157.75), dabigatran etexilate 29 (9, 229). Most drugs exhibited an early failure type.

Conclusion: This study systematically compiled a list of drugs with potential risks of causing pericardial effusion. There is a significant association between pericardial effusion and the use of hydralazine, dasatinib, and mesalazine. Moreover, pericardial effusion is more common in patient groups receiving treatments with antineoplastic and immunomodulating agents.

药物性心包积液的风险:FAERS数据库的歧化分析。
目的:利用FAERS数据库,识别和评估可能导致心包积液的药物不良事件(ADEs)的风险信号,为临床药物管理提供依据,促进合理用药。方法:我们从FAERS数据库中获取2004年第一季度至2024年第二季度的心包积液事件报告,并根据报告频率或信号强度确定排名前50位的药物。采用报告优势比(ROR)、比例报告比(PRR)、贝叶斯置信传播神经网络(BCPNN)和多项目伽玛泊松收缩器(MGPS)四种算法对这些药物进行信号检测。此外,对于阳性信号的药物,我们进行了敏感性分析,并采用威布尔形状参数检验进行了起效时间(TTO)分析。结果:我们确定了20,057例与心包积液相关的ade,涉及19,693例患者进行分析。患者中男性10,187人(51.7%),女性7,939人(40.3%)。18-65岁为最大年龄组(7798例,占39.6%)。在临床结果方面,9924例患者(50.4%)住院,2770例患者(14.1%)死亡。按ROR风险信号强度排序,前3位分别为肼嗪[ROR (95% CI): 27.11(22.28-33)]、达沙替尼[ROR (95% CI): 15.62(14.07-17.33)]、美沙拉嗪[ROR (95% CI): 8.99(6.84-11.8)]。我们对26种阳性信号药物进行了TTO分析。最早引起心包积液的前3种药物的TTO中位数和四分位间距(IQR)分别为:阿糖胞苷14(7.5,38)、selexipag 14.5(4.25, 157.75)、达比加群酯29(9,229)。大多数药物表现为早期失效类型。结论:本研究系统地编制了一份可能引起心包积液的药物清单。心包积液与hydralazine, dasatinib, mesalazine的使用有显著的相关性。此外,心包积液在接受抗肿瘤和免疫调节剂治疗的患者组中更为常见。
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
BMC Pharmacology & Toxicology
BMC Pharmacology & Toxicology PHARMACOLOGY & PHARMACYTOXICOLOGY&nb-TOXICOLOGY
CiteScore
4.80
自引率
0.00%
发文量
87
审稿时长
12 weeks
期刊介绍: BMC Pharmacology and Toxicology is an open access, peer-reviewed journal that considers articles on all aspects of chemically defined therapeutic and toxic agents. The journal welcomes submissions from all fields of experimental and clinical pharmacology including clinical trials and toxicology.
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