目的 通过中医传承辅助平台(V2.5),采集中国期刊全文数据库(CNKI)、万方数据库(Wan Fang)和维普数据库(VIP)中文献数据,分析中医药治疗慢性肾小球肾炎的用药规律。方法 检索相关数据库2010-01至2019-12中医药治疗慢性肾小球肾炎的文献,收集相应方剂录入中医传承辅助系统,建立数据库,采用平台集成分析、关联原则、系统熵聚集等方法进行数据挖掘,对核心药物的频数、组方规律、关联规则以及新方剂等进行分析。结果 从208篇文献中筛选出有效方剂201首,涉及283味中药。使用频次在20以上的中药共27味,频次排在前五的中药分别为黄芪、茯苓、山药、山茱萸和白术。出现频次在30及以上药对11个,排在前五的药对分别为“山茱萸,山药” “山茱萸,黄芪” “山茱萸,茯苓” “山药,茯苓”和“黄芪,山药”。演化得到3～4味药物的核心药对34个,聚类得到新组方17个。结论 基于中医传承辅助平台对慢性肾小球肾炎的方剂进行数据分析,中医治疗慢性肾小球肾炎的中药主要具有补益肝肾、利水消肿、活血化瘀的功效,中医传承辅助系统筛选出的新复方大多也是具有上述功效,为临床治疗提供新参考。
Abstract
Objective To study the principles of medications for CGN based on the TCM inheritance support system V2.5.Methods “CGN” was used as the key word to search CNKI database, Wan Fang database and VIP database for related prescriptions reported between 2010 and 2019. Platform integration analysis, association principles, system entropy aggregation and other methods were used to conduct data mining. The frequency of core drugs, formulation rules and new prescriptions were analyzed through the TCM inheritance support system V2.5. Results A total of 201 effective prescriptions involving 283 traditional Chinese medicines for chronic glomerulonephritis were screened from 208 pieces of literature. The statistics of prescriptions showed that seventeen types of herbs had been used more than 20 times. The top five types of herbs included Astragalus membranaceus, Poriacocos, Chinese yam, Cornus, White astractryhodes rhizome while the top five herb pairs were Cornus/Chinese yam, Cornus/Astragalus membranaceus, Cornus/Poriacocos, Chinese yam/cocos and Astragalus membranaceus/Chinese yam. Based on the entropy clustering algorithm, 34 core herb pairs evolved that consisted of 3 to 4 types of Chinese herbs and 17 new compositions were made available.Conclusions The main function of medicines used to treat CGN is to tonify the liver and kidney, induce diuresis, remove edema and activate blood. The new compositions have something in common.
关键词
中医传承辅助平台 /
慢性肾小球肾炎 /
用药规律
Key words
inheritance support system /
glomerulonephritis /
principles of medication
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基金
国家自然科学基金项目(81673693);天津市科技重大专项与工程(18ZXXYSY00090);天津市智能制造专项资金项目(20201178);武警后勤学院应用研究项目(WHY201904)
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