利用多种比例失衡技术侦测广东省水痘减毒活疫苗预防接种异常反应可疑信号

发布时间：2018-03-31 18:43

本文选题：比例失衡分析　切入点：水痘减毒活疫苗　出处：《中国疫苗和免疫》2017年05期

【摘要】：目的利用比例失衡分析(Disproportionality analysis,DPA)侦测广东省2009-2014年水痘减毒活疫苗(Varicella attenuated live vaccine,VarV)预防接种异常反应的可疑信号。方法通过全国疑似预防接种异常反应(AEFI)信息管理系统收集广东省2009-2014年有明确诊断的VarV预防接种异常反应,利用DPA中频数法的报告比值比(Reporting odds ratio,ROR)和比例报告比(Proportional reporting ratio,PRR)及贝叶斯法中的贝叶斯置信传播神经网络(Bayesian confidence propagation neural network,BCPNN)和模糊贝叶斯伽马-泊松收缩论(Empirical Bayes Gamma-Poisson Shrinker,GPS)方法检测可疑信号。结果共有8 233例明确诊断的预防接种异常反应个案纳入分析,其中VarV异常反应461例(5.60%),使用ROR、PRR和BCPNN方法分析发现3个可疑信号,使用GPS方法发现2个可疑信号;可疑信号主要是接种VarV后的过敏性休克和喉头水肿。结论 DPA发现VarV过敏性休克和喉头水肿可疑信号增高,需进一步开展流行病学研究验证,并探索适合中国疫苗安全监测的数据挖掘技术。
[Abstract]:Objective to detect suspicious signals of abnormal vaccination response of varicella attenuated live varicella live varicella vaccine in Guangdong Province 2009-2014 by using proportion imbalance analysis. Methods A wide range of information management systems were collected through the National Information Management system for the suspected vaccination abnormal response of varicella attenuated live varicella varicella live varicella varicella live varicella attenuated live vaccine in 2009-2014. In 2009-2014, there were clearly diagnosed abnormal VarV vaccination reactions in Eastern Province, Detection of Bayesian confidence propagation neural Network (Bayesian confidence propagation neural Network) and Fuzzy Bayesian Gamma-Poisson contraction Theory empirical Bayes Gamma-Poisson contraction method by using reporting odds ratio and proportional reporting ratio in DPA and Bayesian confidence propagation neural Network (BCPNN) and Bayesian confidence propagation neural Network (BP N) and Bayesian Gamma Poisson contraction Theory (Bayesian Gamma Poisson contraction Theory) and Bayesian confidence propagation neural Network (BP N) and Bayesian Gamma Poisson contraction Theory (BP) method. Results A total of 8,233 clearly diagnosed cases of abnormal vaccination response were included in the analysis. Among them, 461 cases of abnormal reaction of VarV were detected by 5.60%, 3 suspicious signals were detected by RORP PRR and BCPNN method, 2 suspicious signals were detected by GPS method. The suspicious signals were mainly anaphylactic shock and laryngeal edema after inoculation with VarV. Conclusion DPA found that VarV anaphylactic shock and laryngeal edema were increased. And explore the data mining technology suitable for Chinese vaccine safety monitoring.
【作者单位】：广东省疾病预防控制中心;南方医科大学公共卫生学院;
【基金】：广东省医学科学研究基金应用数据挖掘技术建立疫苗安全监测自动预警系统初步研究(编号B2014019)
【分类号】：R186

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