摘要
目的 运用数据挖掘技术和统计学分析,探讨国医大师梅国强治疗不寐的临证用药规律和学术思想。方法 收集梅国强教授2018年1月—2021年8月在湖北省中医院门诊部治疗的不寐患者病案资料,提取病案中的方药信息,运用古今医案云(V2.2.2)平台、Origin 2020软件与SPSS Modeler 18.0软件进行统计分析、聚类分析、关联规则分析、复杂网络分析。结果 共纳入患者106例,处方178首,其中使用频次≥40次的中药共23味,排在前10位的分别是法半夏、酸枣仁、川芎、茯苓、当归、枳实、郁金、黄芩、柴胡、陈皮。药性以温性最多,其次为寒、平、微寒;药味以辛味、苦味为主,其次为甘味、酸味、咸味等;药物归经以肝、脾、心、肺、肾、胃、胆经为主。高频药物聚类得到5个聚类方。复杂网络分析显示,核心药物为法半夏、酸枣仁、川芎、当归、茯苓、郁金、枳实、陈皮、炒栀子、石菖蒲、远志、煅牡蛎、煅龙骨、土鳖虫、苏木、黄连、黄芩、淡豆豉、泽泻、柴胡。结论 梅教授治疗不寐以调和枢机为主,常采取和解少阳、清热燥湿化痰、调和脾胃、交通心肾、养血除烦等治法,常用核心处方有温胆汤、小柴胡汤、酸枣仁汤、小陷胸汤、远志散、柴胡加龙骨牡蛎汤、栀子豉汤等,常用药对有柴胡-黄芩、石菖蒲-远志、当归-川芎、苏木-蛰虫、煅龙骨-煅牡蛎、墨旱莲-女贞子、五灵脂-蒲黄等。
Objective To explore the medication rules and academic thoughts of Mei Guoqiang,a Chinese medicine master,in the treatment of insomnia by using data mining technology and statistical analysis.Methods The medical records of insomnia patients treated by Professor Mei Guoqiang in the outpatient department of Hubei Provincial Hospital of Traditional Chinese Medicine from January 2018 to August 2021 were collected,and the recipe information included in the medical records was extracted.The ancient and modern medical case Cloud(V2.2.2)platform,Origin 2020 software and SPSS Modeler 18.0 software were used for statistical analysis,cluster analysis,association rule analysis and complex network analysis.Results A total of 106 patients were enrolled with 178 prescriptions,among which 23 Chinese medicines were used more than 40 times.The top 10 were resprctively“Fabanxia,Suanzaoren,Chuanxiong,Fuling,Danggui,Zhishi,Yujin,Huangqin,Chaihu and Chenpi”.The most used medicinal nature was warm,followed by cold,plain and slightly cold.The most used medicinal flavors were spicy and bitter,followed by sweet,sour and salty.Liver,spleen,heart,lung,kidney,stomach and gallbladder meridian were the main meridians for medicine channel tropism.Four clusters were obtained by high-frequency drug clustering.Complex network analysis showed that the core herbs were“Fabanxia,Suanzaoren,Chuanxiong,Danggui,Fuling,Yujin,Zhishi,Chenpi,Chaozhizi,Shichangpu,Yuanzhi,Duanmuli,Duanlonggu,Tubiechong,Shumu,Huanlian,Huangqin,Dandouchi,Zexie and Chaihu”.Conclusion Professor Mei stresses on the reconciliation of pivot in the treatment of insomnia.He often takes the treatment of reconciling shaoyang,clearing heat,eliminating dampness and phlegm,reconciling the spleen and stomach,restoring normal coordination between heart and kidney and nourishing blood to get rid of dysphoria.Common used core prescriptions include Wendan decoction,Suanzaoren decoction,Xiaoxianxiong decoction,Yuanzhi powder,Chaihu Longgu Muli decoction,Zhizichi decoction,etc.Common used couplet medicines are“Chaihu-Huangqin”,“Shichangpu-Yuanzhi”,“Danggui-Chuanxiong”,“Sumu-Zhechong”,“Duanlonggu-Duanmuli”,“Mohanlian-Nvzhenzi”,“Wulingzhi-Puhuang”,etc.
作者
肖勇
闵晓俊
冯心苑
李晓
许惠越
XIAO Yong;MIN Xiaojun;FENG Xinyuan;LI Xiao;XU Huiyue(the First Clinical College of Hubei University of Chinese Medicine,Wuhan 430061,China;Thyroid Disease Diagnosis and Treatment Center,Hubei Provincial Hospital of Traditional Chinese Medicine Affiliated to Hubei University of Chinese Medicine,Wuhan 430061,China)
出处
《中西医结合研究》
2022年第3期161-168,共8页
Research of Integrated Traditional Chinese and Western Medicine
基金
全国中医学术流派传承工作室第二轮建设项目(No.国中医药人教函[2019]62号)。
关键词
不寐
用药规律
数据挖掘
梅国强
聚类分析
insomnia
medication rule
data mining
Mei Guoqiang
clustering analysis
