基于数据挖掘的新型冠状病毒肺炎中医防治方药分析  

Analysis of TCM prescriptions for prevention and treatment of COVID-19 based on data mining

作　　者：杨洁[1] 庞震苗[1] 刘琼[2] 徐庆锋 吴芷莹 余芷晴 杜政希 YANG Jie;PANG Zhenmiao;LIU Qiong;XU Qingfeng;WU Zhiying;YU Zhiqing;DU Zhengxi

机构地区：[1]广州中医药大学,广东广州510006 [2]广州中医药大学第一附属医院,广东广州510000 [3]广东省中医药局,广东广州510000

出　　处：《中医临床研究》2021年第36期41-45,共5页Clinical Journal Of Chinese Medicine

基　　金：广东省哲学社科项目(GD19CGL25),广东“中医药强省政策”实施十五年成效评价;广东省中医药局2020年指令性课题(20204002),“大湾区”战略背景下珠三角九市大型中医院综合服务能力的研究。

摘　　要：目的:采用数据挖掘方法分析新型冠状病毒肺炎(简称新冠肺炎)防治的用药规律,为临床治疗提供参考。方法:收集国家中医药管理局、各省、各自治区、各直辖市卫健委、国医大师、名中医、省级、市级医院发布的新冠肺炎预防或治疗方共400首,建立标准化数据库,采用古今医案云平台(V2.2.3)系统集成的统计分析、关联分析、聚类分析等方法分析400首处方。结果:使用频次排名前5位的中药依次是甘草、金银花、黄芪、广藿香、连翘。中药高频组合为“白术-黄芪”“防风-黄芪”“石膏-苦杏仁”“连翘,金银花-甘草”。按功效分类,排名前5的依次为清热药、补虚药、解表药、化痰止咳平喘药、化湿药。药性多温(806次)、寒(791次)、微温(591次)、平(554次),药味多甘(1663次)、辛(1469次)、苦(379次),归经主要归肺经(2483次),其次是胃经(1757次)、脾经(1756次)和心经(990次),高频药物聚类分析成4类,预防新冠肺炎的药物以提高人体正气、固护卫气、提高免疫力为主,而治疗新冠肺炎的药物多以宣肺散邪、清热祛湿为主,六大地理区域新冠肺炎防治处方中所使用中药的功效排名前七位的为补虚药、清热药、解表药、化痰止咳平喘药、化湿药、利水渗湿药、理气药,但在温性药物和寒性药物的比例上稍有差异,西南、华北、华东、东北地区以寒性药物为主,西北和中南地区以温性药物为主。结论:“扶正祛邪”是防治疫病的重要思路。Objective:To provide basis for clinical prescriptions by exploration of distribution regularities of TCM for preventing and treating COVID-19 by data mining in the relevant literature.Methods:A total of 400 prescriptions for the prevention or treatment of COVID-19 issued by the State Administration of Traditional Chinese Medicine,the health commissions of provinces,autonomous regions and municipalities directly under the central government,TCM masters,famous TCM practitioners and provincial and municipal hospitals were collected.A standardized database was established,and 400 prescriptions were analyzed using statistical analysis,association analysis,cluster analysis and other methods integrated with the ancient and modern medical case cloud platform(V2.2.3).Results:The top 5 most frequently used TCM were Gancao(Glycyrrhizae Radix),Jinyinhua(Lonicerae Flos),Huangqi(Astragali Radix),Guang Huoxiang(Pogostemonis Herba)and Lianqiao(Forsythiae Fructus).The high-frequency medicinal pairs were“Baizhu(Atractylodes macrocephala Rhizoma)-Huangqi(Astragali Radix)”,“Fangfeng(Saposhnikovia divaricata)-Huangqi(Astragali Radix)”,“Shigao(Gypsum Fibrosum)-Ku Xingren(Armeniacae Semen)”,“Lianqiao(Forsythiae Fructus),Jinyinhua(Lonicerae Flos)-Gancao(Glycyrrhizae Radix)”.According to the classification of efficacy,the top 5 drugs were heat-clearing drugs,deficiency-tonifying drugs,and exterior-relieving drugs,phlegm-resolving,cough-relieving,asthma-relieving and dampness-eliminating drugs.The medicinal properties were warm(806 times),cold(791 times),mild(591 times),Ping(平)(554 times),the medicinal taste was sweet(1663 times),spicy(1469 times),bitter(379 times),the main meridian was the lung(2483 times),the stomach(1757 times),spleen(1756 times)and heart(990 times).By the cluster analysis,four clustering results were obtained.Prevention of COVID-19 emphasized drugs to improve human vital Qi(气),defensive Qi,enhance immunity,and drugs for the treatment of COVID-19 emphasized dispersing lung evil,clearing away heat an

关 键 词：数据挖掘 新型冠状病毒肺炎 用药规律 古今医案云平台 

分 类 号：R563.1[医药卫生—呼吸系统]