含苍术-黄柏内服方剂用药规律的数据挖掘研究  

Analysis of Medication Regularity of Prescriptions Containing Cangzhu(Atractylodes Lancea)-Huangbai(Phellodendron Amurense)Based on Data Mining

作　　者：苏鹏丽 徐鹏 汪燕红 祖雅琪 李鲲[3] 赵玉凤[4] SU Pengli;XU Peng;WANG Yanhong;ZU Yaqi;LI Kun;ZHAO Yufeng(Institute of Basic Research in Clinical Medicine,China Academy of Chinese Medical Sciences,Beijing,100700;Institute of Information on Traditional Chinese Medicine,China Academy of Chinese Medical Sciences;China Academy of Chinese Medical Sciences;National Digital Center of Traditional Chinese Medicine,China Academy of Chinese Medical Sciences)

机构地区：[1]中国中医科学院中医临床基础医学研究所,北京市100700 [2]中国中医科学院中医药信息研究所 [3]中国中医科学院 [4]中国中医科学院中医药数据中心

出　　处：《中医杂志》2024年第13期1392-1398,共7页Journal of Traditional Chinese Medicine

基　　金：中国中医科学院自主选题研究项目(ZZ13-022)。

摘　　要：目的采用数据挖掘分析含苍术-黄柏方剂的用药规律。方法纳入《中医方剂大辞典》《中华医典》第5版中含苍术-黄柏方剂,建立数据库,对涉及的方剂、方剂的药物组成、药物的性味归经、方剂主治中医疾病和证型的种类数和出现频次进行统计;绘制药物组合网络图;基于Apriori算法对药物组合进行关联规则分析,同时对高频疾病涉及的药物进行关联规则分析并提取含苍术-黄柏药对的方剂主治某一疾病的核心处方,按照升阳除湿、健脾除湿、清利湿热、专病用药四个类别对核心处方中的药物分类。结果共检索到方剂323首,涉及中药318味,证型52种,中医疾病200种,其中痹证、脚气病、痿证、带下病、疝气类病、头痛、痔疮7种疾病出现频次>10。分析高频疾病核心处方,发现苍术-黄柏组合健脾除湿类药频次最多(353次),用药模式为补气补血药和理气药合用,常使用黄芪、人参、炙甘草、白术、当归、陈皮、香附。其次为组合清热利湿类药(213次),常使用防己、牛膝、半夏,且治疗痔疮使用该类药物种类最多,治疗脚气病使用最频繁。组合升阳除湿类药频次212次,常使用羌活、柴胡、防风,且治疗头痛使用该类药物种类最多,治疗痹证使用最频繁。组合专病用药频次最少(39次)。结论苍术-黄柏药对常通过组合升阳除湿、健脾除湿、清热利湿类药物以分利湿邪,同时组合专病用药以病证同治。Objective To analyze medication regularity of presciptions containing Cangzhu(Atractylodes Lancea)-Huangbai(Phellodendron Amurense)based on data mining.Methods All the prescriptions containing CangzhuHuangbai in Dictionary of Chinese Medical Formulas(《中医方剂大辞典》)and the fifth edition of Chinese Pharmacopoeia(《中华医典》)were retrieved,setting up a database,counting the number of prescriptions involved,the composition of formulas in the prescriptions,the properties of the medicinal,the number of types of diseases and syndromes treated by the prescriptions,and the frequency of their appearances;drawing a network diagram of the medicinal combina⁃tions;analysing the medicinal combinations based on the association rules of the Apriori algorithm,and at the same time,analysing the association rules for the medicinal involved in the high-frequency diseases,and the core prescrip⁃tions containing Cangzhu-Huangbai pairs for specific diseases were extracted,and the medicinal in the core prescrip⁃tions were classified into four categories of raising yang and eliminating dampness,fortifying spleen and eliminating dampness,clearing dampness-heat,and specialised disease-use.Results A total of 323 prescriptions were identified,involving 318 Chinese herbal medicines,52 syndromes,200 diseases,among which arthralgia,beriberi,atrophyflaccidity,leukorrhea,hernia-type diseases,headache,and haemorrhoids appeared more than 10 times.Through analyzing the core prescriptions for high-frequency diseases,we had four findings.Firstly,medicinal of spleen-fortifying and dampness-removing were the most frequent used in core prescriptions of Cangzhu-Huangbai pair(353 times),and the medication mode was combination of qi-blood supplement medicinal and qi rectifying medicinal,usually using Huangqi(Astragalus mongholicus),Renshen(Panax ginseng),Processed Gancao(Glycyrrhiza glabra),Baizhu(Atractylodes macrocephala),Danggui(Levisticum officinale),Chenpi(Citrus reticulata),Xiangfu(Cyperus rotundus).Then followed by the combin

关 键 词：苍术 黄柏 除湿 数据挖掘 用药规律 

分 类 号：R289[医药卫生—方剂学]