Drug-related proteinuria: a vigilance analysis based on the FAERS database.

IF 1.9 4区 医学 Q2 BIOLOGY
Zhixiang Mao, Linjian Zhou, Yi Nie, Hongbing Wang, Junying Zhang
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Abstract

Proteinuria is a prevalent and significant adverse response (ADR) associated with numerous pharmaceuticals, and we employed the online public FDA Adverse Event Reporting System (FAERS) database to investigate a cohort of medications that may induce this ADR. This analysis aimed to identify and assess the most prevalent and significant medicines linked to the risk of proteinuria. We examined the publicly accessible FAERS database from 2004 to 2024. Utilizing the search term "proteinuria" and classifying by generic drug name, we aggregated reports of drug-related responses or trends in proteinuria, subsequently analyzing the data through a combination of ratio-of-reported-ratio (ROR) and proportional-reported-ratio (PRR) to identify and examine twelve medications that may induce proteinuria. A total of 16,355 adverse event reports related to proteinuria were identified in the FAERS database between 2004 and 2024. Among these, 21 drugs demonstrated statistically significant associations with proteinuria based on multivariate logistic regression, with the highest signals observed for voclosporin (ROR: 63.57) and lenvatinib (ROR: 41.01). Drug classes most strongly associated included anticancer agents, immunosuppressants, and antiviral drugs. Notably, the onset of proteinuria varied significantly across drug types, with anti-inflammatory agents showing the earliest median onset (5.4 days), while digestive system drugs and antivirals exhibited delayed onset exceeding 1,000 days on average. These findings underscore the need for early and long-term renal monitoring depending on drug category. Prompt assessment of nephrotoxicity risk is essential during the initial phase of medication, hence offering a more precise foundation for drug screening and optimization.

药物相关性蛋白尿:基于FAERS数据库的警惕性分析
蛋白尿是一种与许多药物相关的普遍且显著的不良反应(ADR),我们使用在线公开的FDA不良事件报告系统(FAERS)数据库来调查可能导致这种ADR的药物队列。该分析旨在识别和评估与蛋白尿风险相关的最普遍和最重要的药物。我们检查了2004年至2024年可公开访问的FAERS数据库。利用搜索词“蛋白尿”并按仿制药名称分类,我们汇总了与药物相关的蛋白尿反应或趋势的报告,随后通过报告比率(ROR)和比例报告比率(PRR)的组合分析数据,以确定和检查12种可能诱导蛋白尿的药物。2004年至2024年间,FAERS数据库中共发现了16355例与蛋白尿相关的不良事件报告。多因素logistic回归分析显示,21种药物与蛋白尿的相关性具有统计学意义,其中voclosporin (ROR: 63.57)和lenvatinib (ROR: 41.01)的相关性最高。与此密切相关的药物包括抗癌药物、免疫抑制剂和抗病毒药物。值得注意的是,不同药物类型的蛋白尿发病时间差异很大,抗炎药的中位发病时间最早(5.4天),而消化系统药物和抗病毒药物的平均发病时间延迟超过1000天。这些发现强调了根据药物类别进行早期和长期肾脏监测的必要性。在用药初期及时评估肾毒性风险至关重要,从而为药物筛选和优化提供更精确的基础。
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
CiteScore
4.00
自引率
0.00%
发文量
129
审稿时长
2 months
期刊介绍: The Brazilian Journal of Medical and Biological Research, founded by Michel Jamra, is edited and published monthly by the Associação Brasileira de Divulgação Científica (ABDC), a federation of Brazilian scientific societies: - Sociedade Brasileira de Biofísica (SBBf) - Sociedade Brasileira de Farmacologia e Terapêutica Experimental (SBFTE) - Sociedade Brasileira de Fisiologia (SBFis) - Sociedade Brasileira de Imunologia (SBI) - Sociedade Brasileira de Investigação Clínica (SBIC) - Sociedade Brasileira de Neurociências e Comportamento (SBNeC).
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