Open access data-based adverse reaction data mining of anti-hyperlipidemia drugs
10.3969/j.issn.1671-3982.2017.05.008
- VernacularTitle:基于开放数据的降血脂药物不良反应数据挖掘
- Author:
Liu SHEN
;
Yu ZHANG
;
Zhen HOU
;
Jiao LI
- Keywords:
Adverse reaction;
Data mining;
Anti-hyperlipidemia drug;
Data processing
- From:Chinese Journal of Medical Library and Information Science
2017;26(5):38-43
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the major adverse reactions of anti-hyperlipidemia drugs and their influencing factors.Methods The adverse reactions of anti-hyperlipidemia drugs in 579 patients were retrieved from the National Population and Health Scientific Data Platform.An adverse reaction-matched dictionary was established by normalizing the names of anti-hyperlipidemia drugs according to the drug name + dosage form and describing the adverse reactions according to the WHO adverse reaction terminology.The data set dimensions were analyzed by data mining.Results The adverse reaction rate of intravenous drip was 75.4% and manifested as chest distress,itching and dyspnea.The rate of adverse reaction involving organ systems was 61.1% and manifested as systemic injury,fever,discomfort and anorexia.Logistic regression analysis showed that the drug giving route was a factor influencing the severity of adverse reaction.Conclusion The adverse reactions of anti-hyperlipidemia drugs involve systemic,skin and its appendix injury.Drug giving route is the major factor influencing the severity of adverse reaction.
