Chinese Journal of Medical Library and Information Science 2017;26(5):38-43
doi:10.3969/j.issn.1671-3982.2017.05.008
Open access data-based adverse reaction data mining of anti-hyperlipidemia drugs
Liu SHEN ; Yu ZHANG ; Zhen HOU ; Jiao LI
Keywords
Adverse reaction; Data mining; Anti-hyperlipidemia drug; Data processing
Country
China
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.
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