CHEN Shiqi, TAO Jing, HANG Yongfu, et al. Data Mining of Perampanel-Associated New Adverse Drug Events Based on FAERS Database. [J]. (1):108-111(2023)
DOI:
CHEN Shiqi, TAO Jing, HANG Yongfu, et al. Data Mining of Perampanel-Associated New Adverse Drug Events Based on FAERS Database. [J]. (1):108-111(2023) DOI: 10.14009/j.issn.1672-2124.2023.01.022.
Data Mining of Perampanel-Associated New Adverse Drug Events Based on FAERS Database
OBJECTIVE: To explore and evaluate the risk of adverse drug events(ADE) induced by new antiepileptic drug pirampanide based on Food and Drug Administration Adverse Event Reporting System(FAERS) database
so as to provide reference for clinical safe drug use. METHODS: Data of 37 quarters(from the first quarter of 2013 to the first quarter of 2022) in the FAERS database were mined by the ratio imbalance method. ADE reports of pirampanide that met the risk signal detection criteria were extracted and analyzed
and compared with the drug instructions to discover new ADE and analyze its rules. RESULTS: A total of 17 112 reports of perampanel-associated ADE were extracted. ADE with high reporting frequency and strong signal
which were not marked in the drug instructions
were mainly distributed in nervous system diseases
multiple drug resistance
congenital diseases
decreased anticoagulant effect and metabolic and nutritional diseases. CONCLUSIONS: More attention should be paid to the adverse drug reactions of nervous system when using pirampanide in clinical practice. For special patients
the status should be evaluated
and the optimal drug dose should be explored to ensure the medication safety of patients through individualized treatment.
关键词
吡仑帕奈药品不良事件美国食品药品监督管理局不良事件报告系统数据挖掘个体化治疗
Keywords
PerampanelAdverse drug eventsFDA Adverse Event Reporting SystemData miningIndivi-dualized therapy