目的 通过对抗癫痫药物左乙拉西坦不良事件（ADE）信号的挖掘分析，以期为临床安全合理用药提供参考。方法 采用比例失衡法中的报告比值比法（ROR）和综合标准法（MHRA）对2017年1季度至2021年3季度美国食品药品监督管理局（FDA）不良事件报告系统（FAERS）中左乙拉西坦的ADE报告进行数据挖掘及分析。结果 分析处理数据后共得到622个有效信号，涉及24个系统器官，主要集中在各类神经系统疾病、精神病类、妊娠期及产褥期及围产期状况等方面，发现说明书中未出现的信号累及器官系统有6个。结论 基于FAERS数据库对左乙拉西坦ADE信号挖掘可促进左乙拉西坦的安全、合理使用。

Objective To provide reference for clinical safe and rational drug use through mining and analysis of adverse drug event (ADE) signals of levetiracetam. Methods The reporting odds ratio (ROR) method and the Medicines and healthcare products regulatory agency (MHRA) method were used to mine and analyze the ADE reports of levetiracetam which included 19 quarter from the first quarter of 2017 to third quarter of 2021 of FDA adverse events reporting system (FAERS). Results A total of 622 valid signals were obtained, involving 24 system organs, mainly focusing on nervous system disorders, psychiatric disorders, pregnancy, puerperium and perinatal conditions, and 6 organ systems that did not appear in the instruction. Conclusion Signal mining of levetiracetam ADE based on FAERS database can promote safe and rational use of levetiracetam.

四川省科技厅项目（2019JDR0163）；四川省教育厅项目（16ZA0290）