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 ›› 2018, Vol. 41 ›› Issue (12): 1041-1046.doi: 10.3969/j.issn.1006-2157.2018.12.012

• 临床研究 • 上一篇    下一篇

基于数据挖掘的中医药治疗重症肌无力用药规律分析*

徐鹏1,张艺缤1,吕志国2,张冬梅2,成光宇2,王健2#   

  1. 1 长春中医药大学中医学院 吉林 130117;
    2 长春中医药大学附属医院
  • 收稿日期:2018-06-25 发布日期:2019-01-14
  • 通讯作者: 王健,男,博士,教授,博士生导师,研究方向:中西医治疗神经内科疾病的临床、科研工作及循证医学研究,E-mail:jian-w222@163.com
  • 作者简介:徐鹏,男,在读博士生,主治医师
  • 基金资助:
    *国家中医药管理局中医药标准制修订项目(No.SATCM-2015-BZ〔034〕),吉林省科技发展计划项目(No.20180311025YY),吉林省中医药科技项目(No.2018045、No.2017204、No.2017213)

Data mining-based analysis of traditional Chinese medicinals used for myasthenia gravis*

Xu Peng1, Zhang Yibin1, Lu Zhiguo2, Zhang Dongmei2, Cheng Guangyu2, Wang Jian2#   

  1. 1 Changchun University of Chinese Medicine, Jilin 130117, China;
    2 The Affiliated Hospital of Changchun University of Chinese Medicine, Jilin 130021, China
  • Received:2018-06-25 Published:2019-01-14

摘要: 目的 基于数据挖掘方法探讨中医药治疗重症肌无力的用药规律。方法 检索中国知网数据库(CNKI)、万方数据知识服务平台(WanFang Data)、维普中文科技期刊数据库(VIP)、中国生物医学文献数据库(CBM)等中文数据库,两名研究者对文献进行严格筛选和采用“双录入”数据提取,建立数据库。采用数据挖掘技术(频数分析、聚类分析、关联规则)对核心药物、药对(组)规律进行分析。结果 筛选出符合条件纳入分析的中医药治疗重症肌无力文献共187篇,涉及379份处方及270味中药。药物出现频数累计4 724次,使用频数排列在前10位的中药分别是黄芪、白术、甘草、当归、党参、升麻、山药、柴胡、陈皮、茯苓,用药类别以补虚药、解表药、清热药、利水渗湿药、理气药为主。核心药物聚类分析结果形成5个类别。经关联规则分析,支持度>30%,得出药对关联规则13条,3味药配伍关联规则24条,4味药配伍关联规则16条,基本以补虚药类中的补气药、补血药与解表药类中的具有升举阳气功效的药物三者之间不同组合。结论 中医药治疗重症肌无力用药规律以补虚为主,药物之间关联多以补中益气汤的组方为核心,以补益脾肾为大法且贯穿病程的始终,兼以清热、祛湿、解毒等治疗。

关键词: 重症肌无力, 数据挖掘, 聚类分析, 关联规则, 用药规律

Abstract: Objective Based on data mining, to explore the medication regularity of traditional Chinese medicine in treating myasthenia gravis. Method We searched VIP,Wanfang Data, CNKI and CBM databases to collect theses on traditional Chinese medicine (TCM) treating myasthenia gravis from inception to May, 2018. Two reviewers independently screened literature, extracted data and established database. Frequency count,cluster analysis and association rule were used to analyze regularity of key herbs and a pair (group) of herbs. Results We identified 187 studies that involved a total of 379 prescriptions and 270 herbs about treating Myasthenia Gravis. The cumulative frequency of drug use was 4724 times. The arrangement of top 10 herbs by using frequency were astragalus, atractylodes, liquorice, angelica sinensis, lanceolata, cimicifugafoetida, yam, bupleurum, tangerine peel, poria and among classes of drugs, the tonics, drugs for relieving exterior disorder, heat-clearing herbs, drugs that cleared excess wind and dampness, drugs that regulated flow of qi were mainly used. The clustering analysis of core herbs showed 5 classifications. According to the analysis of association rules that the degree of support was >30%, the rules in pair herbs were 13, in 3 herbs were 24, and in 4 herbs were 16, which were performed by the combination of qi invigorating drugs in the tonics, blood tonics and upraising the middle qi in drugs for relieving exterior disorder. Conclusion The medication regularity of traditional Chinese medicine for treating Myasthenia Gravis is dominated by the method of reinforcing deficiency. The combination of drugs is mainly composed of Buzhong Yiqi decoction as the core, and the complementary law of Spleen and Kidney intervening runs through the whole course of disease, meanwhile, applying clearing heat, eliminating dampness and detoxification are based on the differentiating symptoms and signs.

Key words: myasthenia gravis, data mining, clustering analysis, correlation analysis, medication regularity

中图分类号: 

  • R746.1