摘要
目的:分析《中风病良方大全》中治疗出血性中风的方剂成方规律。方法:搜集《中风病良方大全》一书中治疗出血性中风的方剂,通过Microsoft Excel 2010软件统计中药频次,SPSS Modeler 18.0软件进行关联规则分析及决策树分析,SPSS Statistics 25.0软件进行聚类分析、因子分析。结果:得到有效方剂355首,涉及中药267味,核心药物为当归、红花、川芎、桃仁,常用药物功效分别为活血化瘀(22.49%)、平肝息风(17.31%)、补虚(14.72%)、清热(11.77%)、化痰止咳平喘(7.65%),药性主要涉及寒(40.36%)、温(32.24%)、平(22.30%),药味主要涉及苦(32.03%)、甘(28.68%)、辛(23.25%),归经主要为肝(23.56%)、心(14.56%)、脾(14.26%)经。关联规则分析得到12个药组,聚类分析得到8个药组,因子分析提取15个公因子,大黄为因变量的决策树筛选出大黄、三七两味中药。结论:数据挖掘技术全面探究出中药治疗出血性中风的成方规律大多是以活血化瘀、平肝息风、补虚清热、化痰开窍为配伍原则,有助于开发相关药物和指导中医临床实践。
Objective:To investigate the formation rule of prescriptions for the treatment of hemorrhagic stroke in A Collection of Prescriptions for Stroke.Methods:A Collection of Prescriptions for Stroke was searched for prescriptions for the treatment of hemorrhagic stroke.Microsoft Excel 2010 was used to analyze traditional Chinese medicine(TCM)frequency;SPSS Modeler 18.0 was used to perform association rule analysis and decision tree a-nalysis;SPSS Statistics 25.0 was used to perform cluster analysis and factor analysis.Results:A total of 355 valid prescriptions were obtained,involving 267 TCM drugs,and the core drugs were Angelica sinensis,Carthamus tinctorius,Rhizoma Chuanxiong,and peach seed.As for the function of commonly used drugs,blood-activating and stasis-resolving accounted for 22.49%,followed by liver-pacifying and wind-extinguishing(17.31%),deficiency-tonifying(14.72%),heat-clearing(11.77%),and phlegm-eliminating,cough-relieving,and asthmarelieving(7.65%).The drugs with a cold nature accounted for 40.36%,followed by those with a warm nature(32.24%)or a neutral nature(22.30%);the drugs with a bitter taste accounted for 32.03%,followed by those with a sweet taste(28.68%)or a pungent taste(23.25%);the drugs entering the liver meridian accounted for 23.56%,followed by those entering the heart meridian(14.56%)or the spleen meridian(14.26%).The association rule analysis obtained 12 drug groups,the cluster analysis obtained 8 drug groups,and the factor analysis obtained 15 common factors;the decision tree with Rheum officinale as the dependent variable obtained two TCM drugs of Rheum officinale and Panax notoginseng.Conclusion:Data mining techniques show that in the formation of TCM prescriptions for the treatment of hemorrhagic stroke,the main compatibility rules include activating blood and resolving stasis,pacifying liver and extinguishing wind,tonifying deficiency and clearing heat,and resolving phlegm and opening orifice,which may help to develop drugs and guide the clinical practice of TCM.
作者
杜晓霞
周德生
苏啟后
葛金文
DU Xiaoxia;ZHOU Desheng;SU Qihou;GE Jinwen(The First Affiliated Hospital of Hunan University of Chinese Medicine,Changsha 410007,Hunan,China;Baoan Hospital of Traditional Chinese Medicine,Shenzhen 518000,Guangdong,China;Hunan Academy of Chinese Medicine,Changsha 410013,Hunan,China)
出处
《湖南中医杂志》
2024年第3期19-27,共9页
Hunan Journal of Traditional Chinese Medicine
基金
湖南省级财政中医药项目(rsk-010-13)
国家中医药管理局中医药古籍传承项目(国中医药科技函[2020]295号)
湖南省科技厅科技创新平台与人才计划—中医脑病临床研究中心(2017SK4005)。
关键词
出血性中风
《中风病良方大全》
成方规律
数据挖掘
hemorrhagic stroke
A Collection of Prescriptions for Stroke
prescription formation rule
data mining
