通过FAERS数据库的不成比例性分析来识别潜在的药物诱导的神经疼痛信号
Yating An1, Ying Zheng2, Ziwei Jiang3
1Department of Pharmacy, Beijing Health Vocational College, Beijing, China.
Frontiers in pharmacology
|August 14, 2025
概括
药物诱导的神经疼痛是一种显著的不良反应. 对FAERS数据库的分析确定化疗剂,抗生素和免疫抑制剂是关键的相关药物类别,强调早期检测和更安全的处方.
科学领域:
- 药物监督 药物监督 药物监督
- 神经科学是一个神经科学.
- 临床药理学 临床药理学
背景情况:
- 药物诱导的神经疼痛是一种常见且严重的药物不良反应.
- 美国食品和药物管理局不良事件报告系统 (FAERS) 数据库为药监测研究提供了广泛的数据.
研究的目的:
- 使用FAERS数据识别与神经疼痛相关的特定药物和药物类别.
- 探索药物诱导的神经疼痛背后的潜在机制.
主要方法:
- 使用不成比例分析,包括ROR,PRR,BCPNN和EBGM,对FAERS2004-2024年的数据.
- 分析了103,678份与神经疼痛相关的不良事件报告,以确定药物与神经疼痛的关联.
主要成果:
- 在神经疼痛和化疗剂,抗生素和免疫抑制剂之间发现了显著的关联.
- 列纳利多米德与神经疼痛的关联最强,其次是酸.
- 神经毒性,免疫介导机制和代谢干扰是潜在的促成因素.
结论:
- 确定了与神经疼痛相关的关键药物类别,包括化疗药物,抗生素和免疫抑制剂.
- 强调需要早期识别和更安全的处方策略,以减轻神经毒性风险.
- 需要进一步的研究来理解和管理药物诱导的神经疼痛.
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