李友林治疗慢性咳嗽临证用药复杂网络分析

张玲; 史琦; 王辛秋; 阎玥; 韩艳武; 王志杰

doi:10.13288/j.11-2166/r.2014.16.006

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李友林治疗慢性咳嗽临证用药复杂网络分析

思路与方法 | 更新时间：2021-11-17

- 李友林治疗慢性咳嗽临证用药复杂网络分析
- Complex Network Analysis of LI Youlin’s Medication Rules in Treating Chronic Cough
- 中医杂志 2014年55卷第16期页码：1371-1375
- 作者机构：
  
  1. 北京中医药大学基础医学院
  2. 中日友好医院国家中医药管理局重点研究室(肺病慢性咳喘)
- 作者简介：
- 基金信息：
- DOI：10.13288/j.11-2166/r.2014.16.006
  中图分类号： R249;R256.11
- 纸质出版：2014
- 稿件说明：
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[1]张玲,史琦,王辛秋,阎玥,韩艳武,王志杰.李友林治疗慢性咳嗽临证用药复杂网络分析[J].中医杂志,2014,55(16):1371-1375.

ZHANG Ling, SHI Qi, WANG Xinqiu, et al. Complex Network Analysis of LI Youlin’s Medication Rules in Treating Chronic Cough[J]. Journal of Traditional Chinese Medicine2014, 55(16): 1371-1375.
[1]张玲,史琦,王辛秋,阎玥,韩艳武,王志杰.李友林治疗慢性咳嗽临证用药复杂网络分析[J].中医杂志,2014,55(16):1371-1375. DOI： 10.13288/j.11-2166/r.2014.16.006.

ZHANG Ling, SHI Qi, WANG Xinqiu, et al. Complex Network Analysis of LI Youlin’s Medication Rules in Treating Chronic Cough[J]. Journal of Traditional Chinese Medicine2014, 55(16): 1371-1375. DOI： 10.13288/j.11-2166/r.2014.16.006.

摘要

目的探讨李友林教授治疗慢性咳嗽用药复杂网络的分布模式及配伍规律。方法以李友林诊治的679例慢性咳嗽患者所用中药为数据来源

采用互信息关联方法构建使用频次排名前100味药物之间的关联关系

设定权值为1

应用Pajek2.0绘制中药复杂网络的可视化图

包括不同类别节点图和k-网络核心图

并分别计算节点连通分量、度值、聚类系数及网络核心等复杂网络属性指标。结果 679例患者共使用中药199味。用药频次前100位中药的复杂网络属性指标中

度值为5的节点共计15个

分别是白术、五味子、紫菀、肉桂、紫苏子、浙贝母、乌梅、紫苏叶、龙骨、益智仁、桂枝、竹茹、黄芪、枳实、百部;聚类系数为1的节点共计9个

分别是麦冬、知母、陈皮、桔梗、藿香、佩兰、紫苏梗、天花粉、诃子;整个网络中各自连通的子网络共计12个;核心k值为3的节点共计27个

分别是白术、干姜、五味子、厚朴、半夏、麦芽、谷芽、紫菀、山萸肉、木香、肉桂、紫苏子、砂仁、白前、浙贝母、乌梅、紫苏叶、龙骨、牡蛎、党参、益智仁、附子、桂枝、黄芪、枳实、柏子仁、乌药。以核心k值为3的27个节点排列于网络中心形成3-核心网络图

以度值最高的中药节点作为整个网络的中心节点绘制100味中药网络节点分类图

网络中心显示益气健脾、温补宣发、止咳化痰、理气及重镇安神的药物组合

周围依次排列健脾、化湿、收涩、安神、消食、理气、止咳化痰、滋阴、清热、温阳、解表及补血活血的药物组合。结论复杂网络分析显示李友林治疗慢性咳嗽用药以温阳健脾益肺为主

以辛散、化痰止咳、固涩敛肺为辅

并尽量少用苦寒直折、滋腻碍胃的药物。

Abstract

Objective To research the distribution patterns and compatibility laws of Prof. LI Youlin’s medication rules in treating chronic cough by complex network analysis. Methods Chinese herbs used in 679 cases of chronic cough by LI Youlin were chosen as data source. The association relationship among the top 100 herbs was constructed with mutual information relevance networks. The weight was 1. The herb complex networks visualization diagram was drawn with Pajek2. 0. The visualization diagram included different types of node diagram and k-core diagram. The node connected components

values

clustering coefficient and network core were calculated. Results There were 199 herbs used in 679 patients. There were 15 nodes with a value of 5 in the property indicators of top100 herbs. There were 9 nodes with a clustering coefficient of 1. There were 12 interconnecting sub-networks in the entire network. There were 27 nodes with a k-core value of 3. The 27 nodes with a k-core value of 3 arranged in the network center to form a 3-core network diagram. A 100-herb network node classification diagram was drawn by using the highest value node as the central node of entire network. The herb combinations of qi-boosting spleen-fortifying herb

warming-supplementing and diffusing herb

cough-suppressing phlegm-transforming herb

qi-rectifying herb and heavy settling spirit-quieting herb were shown in the network center. The herb combinations of spleen-fortifying herb

dampness-transforming herb

astringent herb

spirit-quieting herb

food-dispersing herb

qi-rectifying herb

coughsuppressing phlegm-transforming herb

yin-enriching herb

heat-clearing herb

yang-warming herb

exterior-resolving herb and blood-supplementing blood-quickening herb sequentially arranged around. Conclusion Complex network analysis shows that LI Youlin often uses yang-warming spleen-fortifying and lung-boosting herb or acrid dissipating herb

cough-suppressing phlegm-transforming herb and astringent lung-constraining herb and tries to avoid using cold bitter herb or rich slimy herb.

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