摘要
目的 该研究运用数据挖掘的方法探讨孙一奎在《赤水玄珠》中治疗神经病证的学术思想和组方用药规律,旨在为临床用药提供参考.方法 检索《赤水玄珠》中关于神经病证的组方用药,使用Microsoft Excel 2021软件创建用药数据库,对所载处方用药开展频次、四气五味、归经以及功效分类的分析,通过SPSS Modeler 18.0和SPSS Statistics 26.0软件开展关联规则分析、高频中药聚类分析和因子分析;并对用药规律分析中高频中药的特征性活性成分及作用机制,进行文献挖掘分析.结果 共纳入201首处方,使用中药共228味,总使用频次达1 552次,频次排名前5的药物分别是甘草、生姜、人参、川芎、朱砂;药味以甘味为主,苦辛为辅,归经以入脾胃经为主,常用药物为补虚药、解表药、化痰止咳平喘药和清热药.关联规则分析显示"川芎-防风-甘草"、"人参-茯神-远志"之间有较高的支持度和置信度,复杂网络图得到甘草、人参、半夏、陈皮、川芎、防风之间关系密切;聚类分析得到5类药物组合;因子分析得到10个公因子.结论 孙一奎认为神经病证的发生以风火痰瘀虚为主要病理因素,治疗上以通补气血为根本大法,强调内外标本同治,善于化裁二陈汤、当归散等方剂,喜用金石或虫爪类药物峻攻下痰.
Abstract
Objective This study uses data mining methods to explore Sun Yikui's academic thoughts and medication patterns for treating neurological disorders as described in"Chishui Xuanzhu",aiming to provide references for clinical medication.Methods Prescriptions and medications related to neurological disorders in"Chishui Xuanzhu"were retrieved and a medication database was created using Microsoft Excel 2021.Analyzed the frequency,four properties and five flavors,meridian attribution,and efficacy classification of the prescrip-tion drugs.SPSS Modeler 18.0 and SPSS Statistics 26.0 were utilized for association rule analysis,high-fre-quency traditional Chinese medicine clustering analysis,and factor analysis.Literature mining and analysis were conducted on the characteristic active ingredients and mechanisms of action of high-frequency traditional Chinese medicines identified in the medication patterns.Results A total of 201 prescriptions comprising 228 traditional Chinese medicines were included,with a total frequency of 1552 uses.The top five most frequently used drugs were licorice,ginger,ginseng,chuanxiong,and cinnabar.The medicinal flavors were mainly sweet,supplemented by bitterness and spiciness.The meridians were mainly focused on entering the spleen and stomach.Commonly used drugs included those for tonifying deficiency,relieving exterior symptoms,re-solving phlegm,relieving cough and asthma,and clearing heat.Association rule analysis showed high support and confidence between combinations such as"Chuanxiong-Fangfeng-Licorice"and"Ginseng-Fushen-Yuanzhi".The complex network diagram highlighted close relationships among licorice,ginseng,Pinellia ter-nata,tangerine peel,Chuanxiong,and Fangfeng.Cluster analysis revealed five drug combinations,while fac-tor analysis identified ten common factors.Conclusion Sun Yikui identifies wind,fire,phlegm,and blood stasis deficiency as primary pathological factors in neurological disorders.His treatment strategy emphasizes nourishing properties and blood,with a holistic approach to internal and external treatment.He adeptly modi-fies prescriptions such as Erchen Tang and Danggui San,and prefers to use drugs such as Jinshi or Chongchi to attack the lower phlegm.
基金项目
安徽中医药大学人文社会科学研究重点项目(2021rwzd22)
国家中医药管理局高水平中医药重点学科建设项目(国中医药人教函[2022]226号)
安徽省高校科研社科重点项目(2022AH050427)
中央财政安徽中医药"北华佗、南新安"传承创新项目(2022BHTNXA02)
维普
万方数据