Data Mining of Adverse Drug Reaction Signals for Eszopiclone Based on FAERS Database
Objective:To analyze the signals of adverse drug reactions(ADR)after eszopiclone,and to provide reference for clinical drug safety.Methods:The OpenVigil 2.1 data platform was used to collect ADR reports of dexzopiclon from the launch of eszopiclone in the US until March 31,2023,using the FDA Adverse Event Reporting System(FAERS)database.The ADR signals of eszopiclone were detected by a frequency method and sorted according to frequency and signal intensity.Results:There were 9131 ADR reports related to eszopiclone,and 77 ADR signals were detected respectively.The ADR with the most frequent occurrence was abnormal taste(3162 cases),which could be seen in the drug instructions.Suicidal attempt did not appear in the drug instructions.In order of signal strength,eszopiclone's initial insomnia(reported odds ratio of 225.402)was at the top of the list,and hypotrichosis was not mentioned in drug instructions.Conclusion:It is suggested that clinical attention should be paid not only to ADR of the most common psychiatric system,but also to ADR not reported in the drug package inserts.
EszopicloneAdverse drug reactionFDA Adverse Drug Event Reporting SystemData mining
NETL
NSTL
万方数据
