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基于数据挖掘研究龙运光治疗肺癌的用药规律

Medication rule of Long Yunguang in treatment of lung cancer based on data mining
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摘要 目的:基于数据挖掘技术,探讨龙运光主任医师运用中医药治疗肺癌的用药规律。方法:收集2017年1月1日至2021年12月31日龙师运用中医药治疗肺癌的病案,将筛选出的有效处方数据录入中医传承计算平台(V3.0),采用频次计算、关联规则、聚类分析等方法进行统计分析。结果:共筛选出101首处方,涉及中药218味,排名前10位的中药依次是蜈蚣、黄芪、猫爪草、当归、重楼、茯苓、全蝎、山药、党参、芦根;使用频次最高的功效是补虚、清热、化痰止咳平喘;中药五味以甘味频次最高,其次为苦味、辛味;归经以肝经频次最高,其次是肺经;应用关联和聚类规则分析,使用频次最高的组合分别是黄芪、当归、蜈蚣、党参、猫爪草;黄芪、当归、蜈蚣、猫爪草、芦根;黄芪、当归、蜈蚣、猫爪草、蒲公英。结论:肺癌的中医病机可归纳为“毒”“瘀”“虚”,治疗主要采用清热解毒、活血通络、益气补血之法。 Objective:To investigate the medication rule of Chief Physician Long Yunguang in the treatment of lung cancer by using traditional Chinese medicine(TCM)based on data mining techniques.Methods:Medical records were collected from the patients with lung cancer who were treated by Long Yunguang using traditional Chinese medicine from January 1st,2017 to December 31st,2021,and the data of valid prescriptions screened out were entered into TCM inheritance computing platform system(V3.0).The methods such as frequency calculation,association rule,and cluster analysis were used for statistical analysis.Results:A total of 101 prescriptions were screened out,involving 218 TCM drugs,and the top 10 TCM drugs were centipede,Astragalus membranaceus,ternate buttercup root,Angelica sinensis,Rhizoma Paridis,Poria cocos,scorpion,Dioscorea opposita,Codonopsis pilosula,and Reed Rhizome.The functions with the highest frequency of use were tonifying deficiency,clearing heat,resolving phlegm,and relieving cough and asthma.The TCM drugs with a sweet taste had the highest frequency of use,followed by those with a bitter or pungent taste.As for meridian entry,the liver meridian had the highest frequency,followed by the lung meridian.Association rule analysis and cluster analysis showed that Astragalus membranaceus-Angelica sinensis-centipede-Codonopsis pilosula-ternate buttercup root,Astragalus membranaceus-Angelica sinensis-centipede-ternate buttercup root-Reed Rhizome,and Astragalus membranaceus-Angelica sinensis-centipedeternate buttercup root-dandelion were the drug combinations with the highest frequency of use.Conclusion:“Toxin”“stasis”and“deficiency”are the pathogenesis of lung cancer in TCM,and heat-clearing and detoxicating therapy,blood-activating and collateral-dredging therapy,and Qi-tonifying and blood-enriching therapy are the main methods for treatment.
作者 上官发辉 樊健坪 刘爽 陈涛 SHANGGUAN Fahui;FAN Jianping;LIU Shuang;CHEN Tao(Guizhou University of Traditional Chinese Medicine,Guiyang 550002,Guizhou,China;The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine,Guiyang 550003,Guizhou,China)
出处 《湖南中医杂志》 2022年第11期30-33,46,共5页 Hunan Journal of Traditional Chinese Medicine
基金 第六批全国老中医药专家龙运光学术经验继承工作项目(国中医药人教函〔2017〕125号) 中国民族医药学会科研立项项目(2020ZY023-150101) 贵州省中医药管理局中医药、民族医药科学技术研究专项(QZYY-2021-013)。
关键词 肺癌 龙运光 数据挖掘 中医传承计算平台 用药规律 lung cancer Long Yunguang data mining traditional Chinese medicine inheritance computing platform system medication rule
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