Study on Signal Detection of Xiyanping Injection-induced Urticaria Based on BCPNN Warning Technology / 中国药房

ABSTRACT

OBJECTIVE:To explore and analyze signals of Xiyanping injection-induced urticaria from spontaneous reporting system database of Jiangxi province. METHODS:The continuous ADR report monitoring data were collected from spontaneous re-porting system of Jiangxi province,and established database. Bayesian confidence propagation neural network(BCPNN) method was used to calculate information component,IC value of Xiyanping injection-induced urticaria. The year-to-year changes of IC val-ue and its interval were analyzed. RESULTS:A total of 328324 ADR reports were collected in Jiangxi province during 2004-2016. The IC value of Xiyanping injection-induced urticaria detected by BCPNN method was 1.10(the lower limit of IC value was 0.65, and upper limit was 1.54),i.e. there was signal and the IC value ranged from-0.87 to 1.65. CONCLUSIONS:The results of BCPNN method suggest that urticaria is a warning signal of Xiyanping injection. The risk is increasing gradually,and prediction precision increase with the addition of report quantity.