Research on Treatment of Chronic Cough Based on Cluster Analysis and Factor Analysis

Qin-jun YANG; Ming-xiang HAN; Ze-geng LI; Xin-heng WANG; Ya-ting GAO; Jia-bing TONG; Cheng YANG; Chuan-bo WANG

doi:10.13422/j.cnki.syfjx.20191746

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Research on Treatment of Chronic Cough Based on Cluster Analysis and Factor Analysis

Data Mining | 更新时间：2021-02-09

- Research on Treatment of Chronic Cough Based on Cluster Analysis and Factor Analysis
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 25, Issue 19, Pages: 155-160(2019)
- 作者机构：
  
  1.安徽中医药大学，合肥　 230038;
  2.安徽省中医药科学院　中医呼吸病防治研究所，合肥　 230031；
  3.安徽中医药大学　第一附属医院，合肥　 230031；
  4.安徽医科大学　第二附属医院，合肥　 230601
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.20191746
  CLC： R22; R24; R28; C37; R256.11
- Received：19 March 2019，
  
  Published Online：13 May 2019，
  
  Published：05 October 2019
- 稿件说明：
移动端阅览
Qin-jun YANG, Ming-xiang HAN, Ze-geng LI, et al. Research on Treatment of Chronic Cough Based on Cluster Analysis and Factor Analysis[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(19): 155-160.
DOI：

Qin-jun YANG, Ming-xiang HAN, Ze-geng LI, et al. Research on Treatment of Chronic Cough Based on Cluster Analysis and Factor Analysis[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(19): 155-160. DOI： 10.13422/j.cnki.syfjx.20191746.

摘要

目的：

通过数据挖掘技术总结临床辨证治疗慢性咳嗽的处方用药规律与临证心得。

方法：

对韩明向教授临床诊治的650例慢性咳嗽病案的方药信息进行数据化处理，利用SPSS Statistics 22.0软件进行系统聚类分析、因子分析。

结果：

韩明向教授临床治疗慢性咳嗽的高频药物为百部、陈皮、紫菀、款冬花、炙甘草、白前、茯苓、五味子等，共计40味，出现频次占比80.52%，按功效大致可归化痰止咳平喘药、补虚药、解表药、健脾利水药等10类。聚类分析得出干姜-细辛-五味子-鹿角霜-白芥子-射干-肉桂-炙甘草-地龙，麻黄-苦杏仁-百部-紫菀-款冬花-白前-前胡等5个聚类方。因子分析得到百部-紫菀-款冬花-白前，细辛-五味子-干姜-浙贝母等13个公因子。

结论：

结合临床经验得出韩明向教授临床治疗慢性咳嗽重视风邪、阳虚寒痰伏肺，痰瘀气滞的病机，治疗多从肺、脾二脏出发，以温润立法，或佐以温肺化饮、疏表散寒、健脾化痰、益肺固表、息风解痉之品。

Abstract

Objective:

To summarize medication law of prescription and clinical experience on the treatment of chronic cough through data mining technology.

Method:

The formula information of 650 cases of chronic cough cases diagnosed and treated by professor HAN Ming-xiang was processed with data mining technology

and system cluster analysis and factor analysis were conducted by SPSS Statistics 22.0.

Result:

High-frequency medicines of professor HAN Ming-xiang for treating chronic cough were Stemonae Radix

Citri Reticulatae Pericarpium

Asteris Radix et Rhizoma and other 37 herbs

their frequency of occurrence accounted for 80.52%. According to the efficacy

the medicines could be classified into 10 categories

such as expectorant cough antiasthmatic drugs

tonifying deficiency drugs

and diaphoretic drugs. Cluster analysis showed 5 combinations of drugs. Factor analysis yielded 13 common factors

such as Stemonae Radix-Asteris Radix et Rhizoma-Farfarae Flos-Cynanchi Stauntonii Rhizoma et Radix

Asari Radix et Rhizoma-Schisandrae Chinensis Fructus-Zingiberis Rhizoma-Fritillariae Thunbergii Bulbus.

Conclusion:

Combined with clinical experience

it can be concluded that clinical treatment of professor HAN Ming-xiang for chronic cough attaches great importance to the pathogenesis of wind-evil

Yang deficiency and cold phlegm underlying lung

phlegm and blood stasis and Qi stagnation. The treatment mainly starts from the lung and spleen

with the method of warm and moist

or with some traditional Chinese medicines with the function of removing phlegm by warming the lung

dispersing cold by thinning the surface

strengthening the spleen and resolving phlegm

strengthening the lung and fixing the surface

and relieving spasmolysis by wind.

关键词

Keywords

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