文章摘要
王芳,李永辉,郭瑞锋,等.综合利用两个数据库进行药品不良反应风险信号挖掘方法的探索[J].安徽医药,2019,23(1):202-205.
综合利用两个数据库进行药品不良反应风险信号挖掘方法的探索
Comprehensive utilization of two databases for the mining of adverse reaction risk signals
投稿时间:2017-11-15  
DOI:
中文关键词: 药物毒性  药物副反应报告系统  数据库,事实型  制药工业  数据挖掘  风险信号
英文关键词: Drug toxicity  Adverse drug reaction reporting systems  Databases,factual  Drug industry  Data mining  Risk signal
基金项目:
作者单位E-mail
王芳 河北省药品监测评价中心,河北 石家庄 050090  
李永辉 河北省药品监测评价中心,河北 石家庄 050090 hbfda157@126.com 
郭瑞锋 河北省药品监测评价中心,河北 石家庄 050090  
刘欣欣 河北省药品监测评价中心,河北 石家庄 050090  
张晶晶 邢台市药品不良反应和药物滥用监测中心,河北 邢台 054001  
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中文摘要:
      目的 综合利用国家药品不良反应监测系统数据及河北省药品电子检验报告书数据进行数据挖掘,找到信号检测切入点,探索药品不良反应风险信号的提取方法。方法 将国家药品不良反应监测系统数据的报告数量及河北省药品电子检验报告书药品采购量数据相结合,计算不良反应报告率,对不同企业生产的同通用名药品的不良反应报告率情况进行统计学分析。结果 两个数据库总体匹配度为86.39%,企业与其他企业生产的同种药品不良反应报告率之间存在差异,差异有统计学意义的占57.78%,其中报告率偏高且差异有统计学意义的占22.78%。结论 两个数据库匹配度较高;部分企业与其他企业生产的同种药品不良反应报告率之间差异有统计学意义,从而找出存在风险的企业及其生产的品种;可通过本方法快速、准确、经济的甄别药品不良反应风险信号。
英文摘要:
      Objective To comprehensively utilize the data of national adverse drug reaction monitoring system and data of Hebei Province electronic inspection report to find the entry point of signal detection and to explore the extraction method of adverse reaction risk signal.Methods Firstly,the number of national ADR monitoring system data was extracted.Then,the drug supply data of Hebei Province Electronic Drug Test Report was extracted.The two data were analyzed and compared to calculate the reporting rate of adverse reactions,and the reported Adverse drug reactions rate of drug with the same generic name were of statistical analysis.Results The overall matching degree of the two databases was 86.39%.There was a difference between the reporting rate of ADR of one company and that of other companies,which was significant account for 57.78%,among which the higher reporting rate was account for 22.78%.Conclusion The match between two databases is high.There is a significant difference between the reporting rate of adverse reactions of the same kind of drugs produced by some enterprises and that of other companies,based on which to find out the risk enterprises and their production varieties.This method can quickly,accurately and economically discriminate the adverse reaction risk signals.
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