基于数据挖掘技术探讨李柳宁治疗肺癌用药规律  

Exploration of Medication Rules of LI Liuning in Treating Lung Cancer Based on Data Mining Technology

作　　者：胡薇薇 汤凤兰 何春霞 李柳宁 HU Weiwei;TANG Fenglan;HE Chunxia;LI Liuning(The Second Clinical Medical School of Guangzhou University of Chinese Medicine,Guangzhou Guangdong 510405,China;The Second Affiliated Hospital of Guangzhou University of Chinese Medicine,Guangzhou Guangdong 510120,China)

机构地区：[1]广州中医药大学第二临床医学院,广东广州510405 [2]广州中医药大学第二附属医院,广东广州510120

出　　处：《新中医》2024年第24期146-150,共5页New Chinese Medicine

基　　金：国家中医药管理局项目——刘伟胜全国名老中医药专家工作室(2013KT1502);广州市科技局项目(202201010863)。

摘　　要：目的:运用数据挖掘技术分析李柳宁主任治疗肺癌的用药规律。方法:收集李柳宁主任2018年1月1日—2022年12月31日门诊治疗肺癌的首诊中药处方,建立中药处方数据库,统计中药使用频次和性味归经及功效。使用SPSS Modeler18.0统计学软件对高频中药进行关联规则分析,采用SPSS Statistics26.0统计学软件对高频中药进行聚类分析。结果:获得348首处方,包括189味中药,中药使用总频次5550次,使用频次≥100次的中药共17味,排前8位的依次是白术、茯苓、甘草、黄芪、党参、半夏、陈皮、砂仁。药味以甘、苦、辛味为主,药性以温、平、寒性为主,归经以肺、肝、脾经为主,功效以补虚、清热、化痰止咳平喘、活血化瘀为主。高频中药关联规则分析发现支持度排前3的药对依次为茯苓-白术、茯苓-黄芪、白术-黄芪。聚类分析发现4类中药组合,第1类为白术、茯苓、甘草、党参、黄芪、陈皮、半夏、砂仁、麦芽、浙贝母、红曲、龙葵,第2类为白花蛇舌草、莪术,第3类为薏苡仁,第4类为补骨脂、灵芝。结论:基于补土理论,李柳宁主任认为肺癌的发生以脾气亏虚为本,治疗时应以益气健脾药为主,配合化痰理气、清热解毒、活血化瘀药恢复脾土的正常运化。Objective:To analyze the medication rules of Director LI Liuning in treating lung cancer based on data mining technology.Method:We collected the first Chinese medicine prescriptions of patients with lung cancer treated by Director LI Liuning from January 1,2018 to December 31,2022,established a Chinese medicine prescription database,and counted the frequency of use of Chinese medicine and its natures and flavors,meridian entry,and efficacy.We used SPSS Modeler 18.0 statistical software to perform association rule analysis on high-frequency Chinese medicinals,and SPSS Statistics 26.0 statistical software to perform cluster analysis on high-frequency Chinese medicinals.Results:We obtained 348 prescriptions,including 189 Chinese medicinals,with a total usage frequency of 5550 times.There were 17 Chinese medicinals with a usage frequency higher than or equal 100 times.The top eight were Atractylodis Macrocephalae Rhizoma,Poria,Glycyrrhizae Radix et Rhizoma,Astragali Radix,Codonopsis Radix,Pinelliae Rhizoma,Citri Reticulatae Pericarpium,and Amomi Fructus.The medicinal flavors of the medicines were mainly sweet,bitter,and acrid;the medicinal natures were mainly warm,neutral,and cold,the meridian entries were mainly lung,liver,and spleen;the efficacy were mainly tonifying deficiency,clearing heat,resolving phlegm,easing cough and relieving asthma,and invigorating blood and dissolving stasis.The association rule analysis of high-frequency Chinese medicinals found that the top three medicine pairs in terms of support were Poria-Atractylodis Macrocephalae Rhizoma,Poria-Astragali Radix,and Atractylodis Macrocephalae Rhizoma-Astragali Radix.Cluster analysis found four types of Chinese medicine combinations,the first type was Atractylodis Macrocephalae Rhizoma,Poria,Glycyrrhizae Radix et Rhizoma,Codonopsis Radix,Astragali Radix,Citri Reticulatae Pericarpium,Pinelliae Rhizoma,Amomi Fructus,Hordei Fructus Germinatus,Fritillariae Thunbergii Bulbus,Monascus Purpureus Went,Solanum NigrumL;the second type was Spreading Hedyotis Her

关 键 词：肺癌 补土 用药规律 数据挖掘 李柳宁 

分 类 号：R273[医药卫生—中西医结合]