摘要
目的:探索参麦注射剂不良反应(ADR)发生的流行病学特点。方法:通过系统检索1979~2015年文献,采集参麦注射剂ADR详细个案报告,在此基础上应用Microsoft ACCESS构建数据库,进而以Clementine 12.0为数据挖掘平台,应用关联规则Apriori算法开展数据挖掘研究。结果:共检索符合纳入条件的参麦注射剂ADR详细个案118例。其临床诊断大致有6类,呼吸系统损害20例(16.95%),皮肤及其附件损害19例(16.10%),全身性损害26例(22.03%),神经紊乱23例(19.49%),胃肠系统损害18例(15.25%),心率及心律紊乱12例(10.17%)。后项包含ADR诊断的关联规则有"ADR发生在0~5 min之内的男性患者占总体研究案例的14.41%,其中41.18%的患者的ADR诊断为全身性损害"。结论:参麦注射剂ADR诊断种类可能与患者性别、配液种类等因素相关,尚需更大样本量的数据分析验证。
Objective： To explore the epidemiological characteristics of Shenmai injection adverse reactions.Methods： Analysis the collected detail injection case reports from 1979 to 2015,apply Microsoft ACCESS database platform and Clementine 12. 0 platform for data mining which include association rules Apriori algorithm. Results： 118 Shenmai injection adverse reaction cases were collected. There were about six kinds of clinical diagnosis. Respiratory damage accounted for 16. 95 %; the damage to the skin and its accessories accounted for 16. 10%; total body damage accounted for 22. 03%; neurological disorders accounted for 19. 49 percent; Gastrointestinal damage was 15. 25%; heart rate and heart rhythm disorders accounted for 10. 17 percent. The association rules of ADR diagnostic includes the following list： ＂Adverse reaction cases of male patients occurred in 0-5 min accounted 14. 41 percent of the total studied cases,and 41. 18 percent of these cases with ADR diagnosed as systemic lesions. ＂Conclusion： Occurrence of Shenmai injection＇s ADR may be related to such factors as the gender of patients and liquor types which complex under the action of performance still needs a larger sample size analysis of the data validation.
出处
《药物流行病学杂志》
CAS
2018年第3期160-168,共9页
Chinese Journal of Pharmacoepidemiology
基金
国家自然科学基金项目(编号:81473547
81673829)
关键词
参麦注射剂
数据挖掘
药品不良反应
关联规则
Shenmai injection
Data mining
Adverse drug reactions
Apriori algorithm
