Study on Signal Detection of Xiyanping Injection-induced Urticaria Based on BCPNN Warning Technology
10.6039/j.issn.1001-0408.2017.14.13
- VernacularTitle:基于BCPNN预警技术的喜炎平注射液致荨麻疹信号检测应用研究
- Author:
Chao YU
;
Yuming XU
;
Juan ZHOU
;
Kaihua WAN
;
Sui LI
;
Xingdong YUAN
- Keywords:
Xiyanping injection;
Bayesian confidence propagation neural network;
Signal detection;
Spontaneous reporting system
- From:
China Pharmacy
2017;28(14):1921-1924
- CountryChina
- Language:Chinese
-
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.
