摘要
目的:基于数据挖掘技术分析中药治疗痛风的用药特点和组方规律,为痛风的中医临床治疗提供参考和借鉴。方法:检索中国知网数据库(CNKI)、万方数据库(Wanfang Date)、中文科技期刊全文数据库(VIP)、中国生物医学文献数据库(Sino Med)和中医经典著作中关于中医药治疗痛风的文献,构建方药数据库,运用Microsoft Excel 2016软件统计中药频次、性味归经和功效,并通过IBM SPSS Modeler 18.0软件中的Apriori算法进行关联规则分析,SPSS Statistics 25软件进行聚类分析、因子分析。结果:共纳入232首方剂,涉及303味中药,单个中药使用频率≥20的有40味。核心药物包括薏苡仁、黄柏、土茯苓、苍术、萆薢、甘草、威灵仙、泽泻、牛膝等,常用类型以清热药、活血化瘀药、利水渗湿药、祛风湿药、补虚药为主。中药药性多为温、寒、平,药味多以苦、甘、辛为主,归经于脾、肝、心、肺、胃等。聚类分析得到11个核心组方,以清热解毒、活血通络功效为主。关联规则分析得到3个药对、22个三味药药组、12个四味药药组以及1个五味药药组,其中苍术-黄柏支持度最高,是治疗痛风的基本药对。结论:中医药治疗痛风强调整体观念和辨证论治,在把握“风、湿、寒、瘀、热”病机基础上,用药以清热化湿、通络散瘀为主,辅以健脾利湿、补肝益气之药,为临床优化处方、提高疗效及新药的开发提供参考。
Objective:To analyze the characteristics and prescription rules of traditional Chinese medicine in the treatment of gout based on data mining technology,so as to provide reference for the clinical treatment of gout.Methods:The literatures about the treatment of gout by traditional Chinese medicine in Chinese net database(CNKI),a database of ten thousand(Wanfang Date),Chinese journal full-text database(VIP)of science and technology,the Chinese biomedical literature database(Sino Med)and classic works of traditional Chinese medicine were searched,and the prescription database was constructed.The frequency,meridian tropism and efficacy of traditional Chinese medicine were calculated by Microsoft Excel 2016 software,and through IBM SPSS Modeler 18.The Apriori algorithm in the software carries on the association rule analysis,SPSS Statistics 25 software carries on the cluster analysis,the factor analysis.Results:A total of 232 prescriptions were included,involving 303 traditional Chinese medicines,of which 40 were used with a frequency of more than 20.The core drugs include Coix seed,Cortex Phellodendri,Poria cocos,Atractylodes,Atractylodes,licorice,Weilingxian,alisma,Achyranthes bidentata and so on.The medicinal properties of traditional Chinese medicine are mostly warm,cold and flat,and the taste is mainly bitter,sweet and pungent,which belongs to the spleen,liver,heart,lung,stomach and so on.Cluster analysis showed that there were 11 core groups,which mainly had the effects of clearing heat and detoxification,activating blood circulation and dredging collaterals.According to the analysis of association rules,there were 3 drug pairs,22 three medicine groups,12 four medicine groups and one five medicine group,among which Rhizoma atractylodis and Phellodendron phellodendri had the highest degree of support,which was the basic drug pair for the treatment of gout.Conclusion:Traditional Chinese medicine emphasizes the overall concept and syndrome differentiation in the treatment of gout.On the basis of grasping the pathogenesis of“wind,dampness,cold,blood stasis and heat”,the drugs are mainly used to clear heat and dissolve dampness,dredge collaterals and dissipate blood stasis,supplemented by drugs for invigorating spleen and dampness,tonifying liver and tonifying Qi,so as to provide reference for clinical prescription optimization.
作者
童晓岚
兰济乐
张芯
阮叶萍
TONG Xiaolan;LAN Jile;ZHANG Xin;RUAN Yeping(Zhejiang Chinese Medical University,Hangzhou 310053,China)
出处
《陕西中医》
CAS
2021年第11期1619-1624,共6页
Shaanxi Journal of Traditional Chinese Medicine
基金
国家自然科学基金资助项目(81904100)
浙江省自然科学基金资助项目(LY20H280004)。
关键词
痛风
数据挖掘
用药规律
关联规则
聚类分析
Gout
Data mining
Medication rules
Association rules
Cluster analysis
