Characterizing Fenofibrate-Related Renal and Urinary Adverse Events: A Comprehensive Analysis of FDA Adverse Event Reporting System Database.

IF 3.6 4区 医学 Q2 PHARMACOLOGY & PHARMACY
Li Wang, Xiangyun Jin, YanChun Li
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引用次数: 0

Abstract

Purpose: To investigate whether fenofibrate use is associated with an increased risk of renal and urinary adverse events based on the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS).

Methods: This retrospective pharmacovigilance study utilized data from the FAERS between January 1st, 2019, and December 31st, 2023. Reports listing fenofibrate as the primary suspect drug were extracted, and renal and urinary adverse events were identified based on preferred terms (PTs) in the MedDRA dictionary. Disproportionality analysis was conducted using four standard algorithms-reporting odds ratio (ROR), proportional reporting ratio (PRR), bayesian confidence propagation neural network (BCPNN), and multi-item gamma poisson shrinker (MGPS)-to detect safety signals. The PTs exhibiting positive signals were clinically prioritized, and bivariate logistic regression analysis was performed to identify demographic risk factors associated with serious clinical outcomes.

Findings: Between 1 January 2019 and 31 December 2023, a total of 2,810 adverse event reports related to fenofibrate were identified, of which 443 (15.77%) were classified as renal and urinary adverse events. The mean age of affected patients was 57.89 years, with a higher proportion of males (n = 183, 27.94%). Signal detection showed a significant association between fenofibrate and renal and urinary adverse events: ROR = 2.23 (95% CI:2.07-2.41), PRR = 2.18 (χ² = 428.29), IC = 1.12 (IC025 = 1.01), EBGM = 2.18 (EBGM05 = 2.04). Adverse events reported with high frequency included acute kidney injury (n = 149, 22.29%), haematuria (n = 88, 13.44%), and urinary tract disorder (n = 82, 12.52%), with acute kidney injury and anuria identified as key clinical priority events. Bivariate logistic regression analysis demonstrated that individuals aged above 65 years had a significantly higher likelihood of experiencing serious clinical outcomes (OR = 2.046, 95% CI: 1.579-3.665; P < 0.001), males have a lower risk (OR = 0.656, 95% CI: 0.444-0.968, P = 0.034).

Implications: This study suggests a possible significant association between fenofibrate and renal and urinary adverse events. Safety monitoring and individualized risk assessment of patients using fenofibrate should be enhanced to reduce the risk of potential adverse outcomes.

表征非诺贝特相关的肾脏和泌尿不良事件:FDA不良事件报告系统数据库的综合分析。
目的:根据美国食品和药物管理局不良事件报告系统(FAERS),调查非诺贝特的使用是否与肾脏和泌尿系统不良事件的风险增加有关。方法:本回顾性药物警戒研究利用了2019年1月1日至2023年12月31日FAERS的数据。将非诺贝特列为主要可疑药物的报告被提取出来,并根据MedDRA词典中的首选术语(PTs)确定肾脏和泌尿不良事件。使用报告比值比(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)四种标准算法进行歧化分析,以检测安全信号。临床优先考虑阳性信号的PTs,并进行双变量logistic回归分析,以确定与严重临床结果相关的人口统计学危险因素。研究结果:2019年1月1日至2023年12月31日期间,共发现2810例与非诺贝特相关的不良事件报告,其中443例(15.77%)被归类为肾脏和泌尿不良事件。患者平均年龄57.89岁,男性比例较高(183例,27.94%)。信号检测显示非诺贝特与肾脏和泌尿系统不良事件有显著相关性:ROR = 2.23 (95% CI:2.07-2.41), PRR = 2.18 (χ²= 428.29),IC = 1.12 (IC025 = 1.01), EBGM = 2.18 (EBGM05 = 2.04)。报告的高频率不良事件包括急性肾损伤(n = 149, 22.29%)、血尿(n = 88, 13.44%)和尿路障碍(n = 82, 12.52%),其中急性肾损伤和无尿被确定为关键的临床优先事件。双因素logistic回归分析显示,65岁以上个体出现严重临床结局的可能性显著增加(OR = 2.046, 95% CI: 1.579 ~ 3.665; P < 0.001),男性风险较低(OR = 0.656, 95% CI: 0.444 ~ 0.968, P = 0.034)。意义:本研究提示非诺贝特与肾脏和泌尿系统不良事件之间可能存在显著关联。应加强对使用非诺贝特的患者的安全监测和个体化风险评估,以降低潜在不良后果的风险。
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来源期刊
Clinical therapeutics
Clinical therapeutics 医学-药学
CiteScore
6.00
自引率
3.10%
发文量
154
审稿时长
9 weeks
期刊介绍: Clinical Therapeutics provides peer-reviewed, rapid publication of recent developments in drug and other therapies as well as in diagnostics, pharmacoeconomics, health policy, treatment outcomes, and innovations in drug and biologics research. In addition Clinical Therapeutics features updates on specific topics collated by expert Topic Editors. Clinical Therapeutics is read by a large international audience of scientists and clinicians in a variety of research, academic, and clinical practice settings. Articles are indexed by all major biomedical abstracting databases.
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