挖掘和分析安福特里辛B不良反应信号:基于FAERS数据库的现实研究
Siqi Wang1, Yimei Cheng1, Xing Wang1
1Department of Pharmacy, The first Affiliated Hospital of Army Medical University(Third Military Medical University), Chongqing, China.
Expert opinion on drug safety
|March 12, 2025
概括
用FAERS数据分析了安福特乙 (AmB) 的不良药物事件信号. 这项研究确定了诸如低血和功能衰竭等关键风险,有助于这种抗真菌药物的安全临床使用.
科学领域:
- 药物监督 药物监督 药物监督
- 药物安全分析 药物安全分析
- 临床药理学 临床药理学
背景情况:
- 侵入性真菌感染 (IFI) 构成了重大的公共卫生挑战.
- 氨酸B (AmB) 是FI的关键抗真菌剂.
- 由于AMB的不良反应,AMB的临床使用受到限制.
研究的目的:
- 使用FAERS数据库,挖掘Amphotericin B (AmB) 的不良药物事件 (ADE) 信号.
- 识别潜在的安全问题,并为安全的临床应用提供参考.
- 为了支持AMB的临床监测和风险识别.
主要方法:
- 来自FDA不良事件报告系统 (FAERS) 的安福特素B (AmB) 副作用报告的分析.
- 使用了统计方法,包括报告赔率比率,比例报告比率,贝叶斯信任传播神经网络和多项目马鱼缩小器.
- 数据挖掘涵盖了2004年第一季度到2023年第三季度.
主要成果:
- 确定了3597份关于AmB的不良事件 (AE) 报告,涵盖22个器官系统类 (SOC) 和1355个独特的AE.
- 18至60岁的患者 (47.93%) 和女性患者 (53.82%) 患AMB相关的AE风险更高.
- 高风险信号包括低血,发烧,寒,功能衰竭,呼吸功能衰竭,心率低下和聋.
结论:
- 对FAERS数据的分析显示了安福特里辛B (AmB) 的关键不良反应信号.
- 已识别的高风险信号,包括以前未在药物说明书中列出的信号,加强了临床监测.
- 这项研究支持改善风险识别和AMB治疗的更安全的临床管理.
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