基于数据挖掘研究三大目录收载的治疗糖尿病中成药的用药规律  

Analysis of medication rules of Chinese patent medicine in treating diabetes recorded in the three catalogs based on data mining

作　　者：苏芬丽[1] 刘超男[2] 姚媛[1] 冯时茵 闫雪[1] 丘振文[1] SU Fenli;LIU Chaonan;YAO Yuan;FENG Shiyin;YAN Xue;QIU Zhenwen(Department of Pharmacy,First Affiliated Hospital,Guangzhou University of Traditional Chinese Medicine,Guangzhou 510405,China;Department of Endocrine,First Affiliated Hospital,Guangzhou University of Traditional Chinese Medicine,Guangzhou 510405,China)

机构地区：[1]广州中医药大学第一附属医院药学部,广州510405 [2]广州中医药大学第一附属医院内分泌科,广州510405

出　　处：《药学前沿》2025年第4期642-649,共8页China Pharmacist

基　　金：国家自然科学基金青年科学基金项目(81803958)。

摘　　要：目的运用数据挖掘方法探讨治疗糖尿病中成药的组方规律。方法收集《中国药典(2020年版)》《国家基本药物目录(2018年版)》及《国家基本医疗保险、工伤保险和生育保险药品目录(2024年)》中治疗糖尿病的中成药,采用Microsoft Office Excel 2019软件建立数据库并对组方药物进行描述性统计;采用SPSS Modeler 18.0软件对组方药物进行关联规则分析;运用SPSS 22.0统计软件对使用频次≥6次的17味中药进行聚类分析。结果32种中成药共包含81味中药,主要为补虚药、清热药和活血化瘀药,药性主要为寒性,其次为凉性和温性,药味主要为甘味,其次为苦味和辛味,主要归肺、肾、肝经。11组强关联药对中出现频率最高是天花粉→黄芪,置信度最高的是人参+五味子→黄芪。高关联性中药以生脉散合玉液汤为主方进行加减。结论数据挖掘技术能够揭示糖尿病中成药隐藏的组方规律,可为临床药物配伍使用及降糖中成药的新药开发提供一定参考。Objective Data mining methods were used to analyze the medication rules of Chinese patent medicine in treating diabetes.Methods Chinese patent medicines in Chinese Pharmacopeia(2020 edition),National Essential Drugs List(2018 edition)and Medicine List for National Basic Medical Insurance,Employment Injury Insurance and Maternity Insurance(2024 edition)were collected.Descriptive statistical analysis was performed by using Microsoft Office Excel 2019 software.SPSS Modeler 18.0 software was used to analyze the association rules of prescription drugs.Cluster analysis was conducted to investigate the Chinese medicines used 6 or more times for diabetes by using SPSS 22.0.Results 32 kinds of Chinese patent medicines were included,involving 81 traditional Chinese medicines,mainly for tonifying deficiency,clearing heat and promoting blood circulation.The medicinal properties were mainly cold,followed by cool and warm,and the medicinal flavor was mainly sweet,followed by bitter and tangy.The main meridian distribution belonged to the lung,kidney and liver.11 groups of strongly associated drug pairs were obtained by association rule analysis,among which Trichosanthis Radix→Astragali Radix had the highest frequency,and Ginseng Radix Et Rhizoma+Schisandrae Chinensis Fructus→Astragali Radix had the highest confidence.High-correlation traditional Chinese medicines were primarily based on modifications of Shengmai Powder combined with Yuye Decoction.Conclusion Data mining technology can reveal the hidden formula formation rules of Chinese patent medicines for treating diabetes,and provide certain reference for clinical drug compatibility and new drug development of hypoglycemic Chinese patent medicines.

关 键 词：糖尿病 中成药 用药规律 数据挖掘 

分 类 号：R969[医药卫生—药理学]