[与药物相关的脂质代谢异常:基于美国FDA不良事件报告系统 (FAERS) 的现实世界药监探测分析]
Guilian He1, Shupeng Chen2, Nana Tang3
1School of Clinical Medicine. Jiangxi University of Chinese Medicine. Cardiovascular Department. Hospital of Jiangxi. University of Traditional Chinese Medicine.
Nutricion hospitalaria
|February 25, 2026
概括
药物诱导的脂质代谢障碍越来越令人担忧. 这项研究使用大型数据库确定了这些疾病的新药信号,突出了老年人和体重较高的人的风险.
科学领域:
- 药物监督 药物监督 药物监督
- 药品安全 药品安全
- 代谢障碍 代谢障碍 代谢障碍
背景情况:
- 药物诱导的脂质代谢障碍 (DILMD) 是一个日益严重的公共卫生问题.
- 副作用往往被低诊断,错误归因或被忽视.
- 需要进行大规模研究来确定DILMD风险信号和机制.
研究的目的:
- 使用美国食品和药物管理局的不良事件报告系统 (FAERS) 数据库识别DILMD的潜在药物信号.
- 解决DILMD风险检测中缺乏系统,大规模分析的问题.
主要方法:
- 对FAERS数据 (2004年第一季度至2024年第三季度) 的不成比例分析 (DPA).
- 使用MedDRA 26.1术语和算法 (ROR,PRR,IC,EBGM) 来进行信号检测.
- 交叉验证新发现的信号与FDA药物标签的新奇性.
主要成果:
- 分析了140,110份与脂质代谢障碍相关的不良事件报告.
- 鉴定了RISPERIDONE,ADALIMUMAB和ROFECOXIB的显著信号.
- 检测到Carthamus Tinctorius,Rofecoxib,Alendronic Acid,Finasteride和Eicosapentaenoic Acid的新信号,其中50种药物中的29种药物缺乏明确的标签.
- 老年人和体重较高的人最受影响.
结论:
- 药物诱导的脂质代谢障碍越来越普遍.
- 加强监测和及时更新药品标签对于高风险药物至关重要.
- 这项研究为识别使用现实数据的新兴DILMD风险提供了一个框架.
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