主 办:北 京 中 医 药 大 学
ISSN 1006-2157 CN 11-3574/R

北京中医药大学学报 ›› 2019, Vol. 42 ›› Issue (8): 697-704.doi: 10.3969/j.issn.1006-2157.2019.08.015

• 临床研究 • 上一篇    

近30年中医药治疗支气管哮喘临床用药规律数据挖掘研究*

杨勤军1; 杨程2; 童佳兵2; 李泽庚1,2#; 王心恒1; 高雅婷1   

  1. 1 安徽中医药大学 安徽 230012;
    2 安徽中医药大学第一附属医院
  • 收稿日期:2019-02-09 出版日期:2019-08-30 发布日期:2019-09-04
  • 通讯作者: 李泽庚,男,教授,博士生导师,主要研究方向:中医药防治呼吸系统疾病,E-mail:Li6609@126.com
  • 作者简介:杨勤军,男,在读硕士生
  • 基金资助:
    *国家重大疑难疾病临床防治中心-中医药防治重大疑难疾病能力建设资助项目(国中药函2014 No.146),国家自然科学基金资助项目(No.81874431)

Clinical medication regularity in treatment of bronchial asthma with Chinese medicinals in recent 30 years: a dada mining study*

Yang Qinjun1, Yang Cheng2, Tong Jiabing2, Li Zegeng1,2#, Wang Xinheng1, Gao Yating1   

  1. 1 Anhui University of Chinese Medicine, Anhui 230012, China;
    2 First Affiliated Hospital of Anhui University of Chinese medicine, Anhui 230031, China
  • Received:2019-02-09 Online:2019-08-30 Published:2019-09-04
  • Contact: Prof. Li Zegeng, Doctoral supervisor. School of Traditional Chinese Medicine, Anhui University of Chinese Medicine, No. 1, Qianjiang Road, Xinzhan District, Hefei 230012. E-mail: Li6609@126.com

摘要: 目的 基于数据挖掘探析中医药治疗哮喘的临床用药特点及组方规律。方法 检索中国知网、万方数据服务平台、维普数据库、中国生物医学文献数据库中中医药治疗哮喘的文献,构建方药数据库,通过频次统计、关联规则分析、系统聚类分析和主成分因子分析进行研究。结果 共纳入1 132首方药,涉及药物342味,高频药物60味,分别为麻黄、甘草、苦杏仁、地龙、半夏等;药物使用以化痰止咳平喘药、补虚药、解表药为主;关联规则分析得到二项关联32条,三项关联18条;聚类分析得到19个组合,因子分析共提取21个公因子。结论 中医药治疗哮喘用药上重视祛痰平喘、疏风宣肺、息风解痉;久病夹虚入络,当重视配伍补益肺脾肾,或祛瘀通络。

关键词: 支气管哮喘, 中医药, 数据挖掘, 用药规律

Abstract: Objective To discuss the characteristics of clinical medication and regularity of formula construction in treatment of bronchial asthma with Chinese medicinals based on data mining. Methods The databases including CNKI, WanFang Data, VIP Database and CBM were retrieved for searching the documents about treatment of bronchial asthma with Chinese medicinals and establishing a database of TCM formulas and medicinals. The study on the documents was conducted through frequency statistics, association rules analysis, system cluster analysis and principal component factor analysis. Results There were totally 1132 formulas included involving 342 medicinals and 60 high-frequent medicinals such as Mahuang (Ephedra, Herba Ephedrae), Gancao (Liquorice Root, Radix Glycyrrhizae), Kuxingren (Bitter Apricot Kernel, Semen Armeniacae Amarum), Dilong (Earthworm, Lurmbricus) and Banxia (Pinellia Tuber, Rhizoma Pinelliae), etc. The medicinals commonly used were those with effects of resolving phlegm, suppressing cough and calming panting, tonifying deficiency and releasing the exterior. There were 32 binomial correlations and 18 trinomial correlations obtained from association rules analysis. There were 19 combinations obtained from clustering analysis, and 21 common factors obtained from factor analysis. Conclusion The treatment of bronchial asthma with Chinese medicinals pays attention to therapies of suppressing cough and calming panting, dispersing wind and diffusing lung, and extinguishing wind to arrest convulsions. When deficiency complications enter in collaterals in chronic diseases, the therapies of tonifying lung, spleen and kidney, and dispelling stasis and freeing collaterals should be stressed.

Key words: bronchial asthma, Chinese medicine, data mining, medication regularity

中图分类号: 

  • R256.1