Adverse Events Associated With Dabrafenib, Trametinib, and Their Combination Therapy: A Disproportionality Analysis of the FDA Adverse Event Reporting System (FAERS) Database.

IF 2.4 4区 医学 Q3 PHARMACOLOGY & PHARMACY
Zhenpo Zhang, Qimin Wu, Yuting Wang, Yankun Liang, Jingping Zheng, Chufeng Ding, Lin Ma, Ling Su
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Abstract

Objective: Based on the FAERS database, this study aims to compare the safety of dabrafenib, trametinib, and their combination therapy, providing a reference for clinically safe medication.

Methods: Adverse event data for dabrafenib, trametinib, and their combination were extracted from the FAERS database. Descriptive statistical analysis was performed, and adverse event signals were mined using the Reporting Odds Ratio (ROR) method and the Bayesian Confidence Propagation Neural Network (BCPNN) method.

Results: The dabrafenib group yielded 11 048 adverse event reports with 311 positive signals across 22 organ systems. The trametinib group had 7848 reports with 249 positive signals across 21 organ systems. The combination therapy group had 13 544 reports with 418 positive signals across 23 organ systems. Signals were primarily concentrated in investigations, while adverse event reports mainly focused on general disorders and administration site conditions. The distribution of adverse events within System Organ Classes (SOCs) differed among the three groups.

Conclusion: Dabrafenib was associated with stronger reporting signals for adverse events such as fever, hyperpyrexia, and tumor progression. Trametinib was associated with skin-related or infectious adverse events like rash, acneiform dermatitis, and paronychia. The combination therapy increased the risk of ocular and cardiovascular adverse events. These signals indicate potential risks but require clinical confirmation. Clinical practice should prioritize monitoring different adverse events based on patient characteristics and drug type.

与达非尼、曲美替尼及其联合治疗相关的不良事件:FDA不良事件报告系统(FAERS)数据库的歧化分析
目的:本研究基于FAERS数据库,比较达非尼、曲美替尼及其联合用药的安全性,为临床安全用药提供参考。方法:从FAERS数据库中提取达非尼、曲美替尼及其联合用药的不良事件数据。进行描述性统计分析,并使用报告优势比(ROR)方法和贝叶斯置信传播神经网络(BCPNN)方法挖掘不良事件信号。结果:dabrafenib组在22个器官系统中产生了11048例不良事件报告和311例阳性信号。曲美替尼组在21个器官系统中有7848例报告,249例阳性信号。联合治疗组有13 544例报告,23个器官系统有418例阳性信号。信号主要集中在调查中,而不良事件报告主要集中在一般疾病和给药部位条件。不良事件在系统器官类别(soc)中的分布在三组之间存在差异。结论:Dabrafenib与发热、高热和肿瘤进展等不良事件的较强报告信号相关。曲美替尼与皮肤相关或感染性不良事件相关,如皮疹、痤疮样皮炎和甲沟炎。联合治疗增加了眼部和心血管不良事件的风险。这些信号表明潜在的风险,但需要临床证实。临床实践应根据患者特点和药物类型优先监测不同的不良事件。
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来源期刊
CiteScore
4.80
自引率
7.70%
发文量
173
审稿时长
3 months
期刊介绍: The aim of Pharmacoepidemiology and Drug Safety is to provide an international forum for the communication and evaluation of data, methods and opinion in the discipline of pharmacoepidemiology. The Journal publishes peer-reviewed reports of original research, invited reviews and a variety of guest editorials and commentaries embracing scientific, medical, statistical, legal and economic aspects of pharmacoepidemiology and post-marketing surveillance of drug safety. Appropriate material in these categories may also be considered for publication as a Brief Report. Particular areas of interest include: design, analysis, results, and interpretation of studies looking at the benefit or safety of specific pharmaceuticals, biologics, or medical devices, including studies in pharmacovigilance, postmarketing surveillance, pharmacoeconomics, patient safety, molecular pharmacoepidemiology, or any other study within the broad field of pharmacoepidemiology; comparative effectiveness research relating to pharmaceuticals, biologics, and medical devices. Comparative effectiveness research is the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition, as these methods are truly used in the real world; methodologic contributions of relevance to pharmacoepidemiology, whether original contributions, reviews of existing methods, or tutorials for how to apply the methods of pharmacoepidemiology; assessments of harm versus benefit in drug therapy; patterns of drug utilization; relationships between pharmacoepidemiology and the formulation and interpretation of regulatory guidelines; evaluations of risk management plans and programmes relating to pharmaceuticals, biologics and medical devices.
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