在一个真实世界的大规模数据库中对药物相关性偏头痛进行评估。
Assessment of drug-related migraine in a real-world large-scale database.
作者信息
Wu Fan, Liu Ao, Jiang Zhenyuan, Wang Zhonglin
机构信息
Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Shanghai Academy of Social Sciences, Shanghai, China.
出版信息
Front Pharmacol. 2025 Jul 25;16:1647088. doi: 10.3389/fphar.2025.1647088. eCollection 2025.
BACKGROUND
Drug-induced migraine represents a clinically significant yet under-investigated subtype of migraine. This study aims to evaluate the risk of drug-related migraine based on real-world data from the FDA Adverse Event Reporting System (FAERS).
METHODS
A retrospective pharmacovigilance analysis was conducted using FAERS data from Q1 2004 to Q4 2024. Migraine cases were identified via standardized MedDRA (The Medical Dictionary for Regulatory Activities) terms. Only primary suspect drugs were included. Disproportionality analyses were performed using four algorithms: ROR, PRR, MGPS, and BCPNN. Drugs were classified by therapeutic indication and mechanism of action, and stratified by BCPNN values to assess risk levels.
RESULTS
A total of 20,886 migraine-related adverse events were identified, predominantly among females (77.4%) with a mean age of 45.7 years. Sixty-six drugs yielded positive signals, and after exclusion criteria, 39 remained for further analysis. The highest-risk agents included lorcaserin (BCPNN = 3.33), tasimelteon (3.20), and botulinum toxin type A (3.06). High-risk therapeutic classes included immunosuppressants, estrogens/progestogens, and sedative-hypnotics.
CONCLUSION
This large-scale analysis identifies key drug categories and compounds associated with an elevated risk of migraine, providing actionable insights for clinicians. Especially lorcaserin, tasimelteon, and botulinum toxin as potential risk factors for migraine. Given the public health burden of migraine, pharmacovigilance efforts should incorporate such findings to mitigate iatrogenic risks. Further prospective studies are warranted to establish causal mechanisms and optimize therapeutic decision-making.
背景
药物性偏头痛是偏头痛的一种临床上具有重要意义但研究不足的亚型。本研究旨在基于美国食品药品监督管理局不良事件报告系统(FAERS)的真实世界数据评估药物相关性偏头痛的风险。
方法
使用2004年第一季度至2024年第四季度的FAERS数据进行回顾性药物警戒分析。通过标准化的医学法规活动医学词典(MedDRA)术语识别偏头痛病例。仅纳入主要可疑药物。使用四种算法进行不成比例分析:风险比(ROR)、报告比值比(PRR)、多伽马泊松收缩法(MGPS)和贝叶斯置信传播神经网络(BCPNN)。根据治疗适应症和作用机制对药物进行分类,并按BCPNN值分层以评估风险水平。
结果
共识别出20,886例与偏头痛相关的不良事件,主要发生在女性(77.4%)中,平均年龄为45.7岁。66种药物产生了阳性信号,经过排除标准后,39种药物留作进一步分析。风险最高的药物包括氯卡色林(BCPNN = 3.33)、他司美琼(3.20)和A型肉毒毒素(3.06)。高风险治疗类别包括免疫抑制剂、雌激素/孕激素和镇静催眠药。
结论
这项大规模分析确定了与偏头痛风险升高相关的关键药物类别和化合物,为临床医生提供了可采取行动的见解。特别是氯卡色林、他司美琼和肉毒毒素是偏头痛的潜在风险因素。鉴于偏头痛的公共卫生负担,药物警戒工作应纳入这些发现以减轻医源性风险。有必要进行进一步的前瞻性研究以确定因果机制并优化治疗决策。
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