基于体质学说及129例抽样人群数据COVID-19防治组方依据及方药配伍规律研究  

Prescription Basis and Formula Compatibility Regulation for Prevention and Treatment of COVID-19 Based on Constitution Theory and 129 Sample Cases

作　　者：孙婉宁 庞立健[2] 吕晓东[1] 王琳琳[2] 臧凝子[1,2] 王梅[1] 王佳然 刘鑫瑶 彭成飞 SUN Wanning;PANG Lijian;LYU Xiaodong;WANG Linlin;ZANG Ningzi;WANG Mei;WANG Jiaran;LIU Xinyao;PENG Chengfei(Liaoning University of Traditional Chinese Medicine,Shenyang 110847,Liaoning,China;Affiliated Hospital of Liaoning University of Traditional Chinese Medicine,Shenyang 110032,Liaoning,China)

机构地区：[1]辽宁中医药大学,辽宁沈阳110847 [2]辽宁中医药大学附属医院,辽宁沈阳110032

出　　处：《中华中医药学刊》2023年第10期12-18,I0006,共8页Chinese Archives of Traditional Chinese Medicine

基　　金：国家自然科学基金面上项目(82274440);辽宁省新冠肺炎疫情防控应急科研攻关定向项目(辽科发[2022]28号);吕晓东辽宁省名中医传承工作室建设项目(辽中医药函[2021]1号)。

摘　　要：目的依据中医体质9种基本类型,分析基于体质学说防治新型冠状病毒感染(Corona Virus Disease 2019,COVID-19,简称“新冠感染”)常用方药及方药配伍规律。方法运用SPSS和Gephi 0.9.7软件挖掘分析基于体质学说防治新冠感染的处方,归纳总结依据体质理论防治新冠感染的临床组方依据及常用方药。收集检索国内外期刊文献数据库、官方网站等发表的研究文献、指南、专家共识等资源收集基于体质学说防治新冠感染的中药复方,采用频数统计、关联规则分析、聚类分析和复杂网络分析等研究方法进行用药规律的挖掘。结果全部117首方剂中,使用频率最高的前5味中药分别是甘草、金银花、藿香、黄芪、苦杏仁,以甘味和辛味药物为主;从药性上来看,以温性药物为主;从药物归经分析,以归肺经和脾经为主;从药物功效分析,清热药最多。高频药物关联规则分析得到4组置信度为100%的核心药对,聚类分析则将高频药物聚为了7类。复杂网络k-core层次分析发现防治新冠感染的核心中药为甘草、黄芪、金银花、连翘、防风、白术、芦根、桔梗、紫苏叶、苦杏仁、石膏、麻黄、黄芩、苍术、厚朴、草果、槟榔、藿香、茯苓、陈皮、半夏、柴胡、生姜、薏苡仁。结论依据体质学说,明确新冠感染的易感体质,针对不同的体质类型选方用药,可以帮助临床更高效地进行新冠感染的防治工作。Objective Based on the nine basic types of TCM constitution,it analyzed the common prescriptions and formula compatibility regulation based on the constitution theory to prevent and treat corona virus disease 2019(COVID-19).Meth-ods Meth-ods SPSS and Gephi0.9.7 software were used to mine and analyze the prescriptions for the prevention and treatment of COVID-19 and summarize the clinical theoretical basis and common prescriptions based on the constitution theory for the prevention and treatment of COVID-19.The research literature,guidelines,expert consensus and other resources published in domestic and for-eign journal literature databases and official websites were collected and retrieved to collect the Chinese compound formulae based on the constitution theory for the prevention and treatment of COVID-19.The frequency statistical analysis,association rule a-nalysis,cluster analysis and complex network analysis were used to mine the drug patterns.s Results Among all 117 prescriptions,the top 5 most frequently used drugs were Gancao(Glycyrrhizae Radix Et Rhizoma),Jinyinhua(Lonicerae Japonicae Flos),Huox-iang(Pogostemonis Herba),Huangqi(Astragali Radix)and Kuxingren(Armeniacae Semen Amarum),which were mainly sweet and pungent.In terms of meridian tropism,it is mainly the lung and spleen meridians.In terms of the efficacy analysis,the heat-clearing drugs were used mostly.The analysis of high-frequency drug association rules resulted in four core drug pairs with a 100%confidence level,while the cluster analysis clustered high-frequency drugs into seven categories.The complex network k-core hierarchical analysis found that the core drugs for the prevention and treatment of COVID-19 were Gancao(Glycyrrhizae Radix Et Rhizoma),Huangqi(Astragali Radix),Jinyinhua(Lonicerae Japonicae Flos),Lianqiao(Forsythiae Fruc-tus),Fangfeng(Saposhnikoviae Radix),Baizhu(Atractylodis Macrocephalae Rhizoma),Lugen(Phragmitis Rhizoma),Jiegeng(Platycodonis Radix),Zisuye(Perillae Folium),Kuxingren(Armeniacae Semen Amarum),Shigao(Gypsum Fibros

关 键 词：体质学说 数据挖掘 复杂网络 新冠感染 

分 类 号：R259.631[医药卫生—中西医结合] R511[医药卫生—中医内科学]