摘要
目的:系统整理并归纳总结冠心病心力衰竭气虚血瘀证的临床组方用药规律,为中医药治疗此病提供选方用药参考。方法:在中国知网数据库(CNKI),万方数据库(WanFang),维普期刊数据库(VIP)中检索自2000年至2020年所有有关中药复方治疗冠心病心力衰竭气虚血瘀证的相关文献,提取方剂名称、药物组成,统计药物使用频率、药物类别,利用SPSS18.0对高频药物进行关联规则分析,并通过SPSS 21.0进行系统聚类分析。结果:研究最终纳入41篇合格文献,涉及35首方剂,66种药物,药物总频次为433次,其中共计有25味使用频次≥5次的中药,使用频率较高的前3位分别为黄芪(8.8%),丹参(7.2%),川芎(5.8%)。共涉及15种药物类别,其中补虚药(31.4%),活血化瘀药(28.2%),利水渗湿药(7.6%)使用频率最高。将使用频次≥5次的中药进行关联规则分析显示,25味中药中二项关联共13对,以黄芪配伍丹参、川芎、红花等为主;5项关联共8组,以黄芪、丹参、川芎等组合为主。进行系统聚类分析显示,25味中药聚为5类时聚类效果最好。结论:治疗冠心病心力衰竭气虚血瘀证以益气活血为基本法,同时辅以温阳、利水、化痰药可增强临床疗效,提炼出补阳还五汤、四君子汤2个基础方及其他方药组合可为临床治疗冠心病心力衰竭各种兼证提供参考。
Objective: To systematically sort out and summarize the medication rules of clinical prescriptions for coronary heart disease with heart failure of Qi deficiency and blood stasis syndrome,and to provide reference for selecting prescriptions and medications for the treatment of coronary heart disease(CHD)with traditional Chinese medicine(TCM). Method: All relevant literature concerning the treatment of CHD with compound TCM prescriptions for Qi deficiency and blood statis syndrome from 2000 to 2020 were retrieved from the China National Knowledge Network(CNKI),Wan Fang database(Wan Fang),and VIP journal database (VIP),and the names of prescriptions and drug components were extracted,followed by the frequency of drug use and drug category. Association rules of high-frequency drugs were analyzed by SPSS 18.0,and systematic clustering analysis was conducted by SPSS 21.0. Result: Finally,41 qualified literature articles covering 35 prescriptons and 66 drugs were included in the study. The total frequency of the drugs was 433 times. Among them,there were a total of 25 traditional Chinese medicines with a frequency of ≥5 times. The top 3 frequently used Chinese medicines were Astragali Radix(8.8%),Salviae Miltiorrhizae Radix et Rhizoma(7.2%),Chuanxiong Rhizoma(5.8%). A total of 15 types of drugs were involved,among which tonic drugs(31.4%),blood promoting and blood stasis drugs(28.2%),and hydration and dampening drugs(7.6%)were used most frequently. The association rule analysis of traditional Chinese medicines with frequency of ≥ 5 showed that there were 13 pairs of binomial associations in 25 traditional Chinese medicines,with Astragali Radix in combination with Salviae Miltiorrhizae Radix et Rhizoma,Chuanxiong Rhizoma,Carthami Flos,et al. There were 8 groups of three associations,with Astragali Radix,Salviae Miltiorrhizae Radix et Rhizoma,and Chuanxiong Rhizoma as the main combinations. A systematic clustering analysis showed that the clustering effect was best when the 25 traditional Chinese medicines were clust
作者
乔利杰
彭广操
卫靖靖
马腾
李彬
于瑞
王永霞
朱明军
QIAO Li-jie;PENG Guang-cao;WEI Jing-jing;MA Teng;LI Bin;YU Rui;WANG Yong-xia;ZHU Ming-jun(The First Clinical Medical College,Henan University of Chinese Medicine,Zhengzhou 450000,China;The First Affiliated Hospital of Henan University of Chinese Medicine,Zhengzhou 450000,China)
出处
《中国实验方剂学杂志》
CAS
CSCD
北大核心
2021年第9期176-183,共8页
Chinese Journal of Experimental Traditional Medical Formulae
基金
国家重点研发计划重点专项(2019YFC1710000,2019YFC1710003)
国家中医药管理局中医药循证能力建设项目(2019XZZX-XXG003)
国家重点基础研究发展计划项目(2015CB554401)。
关键词
冠心病
心力衰竭
气虚血瘀
用药规律
数据挖掘
coronary heart disease
heart failure
Qi deficiency and blood stasis
medication rules
data mining
