摘要
目的 根据“脾肾互赞”理论,利用数据挖掘技术探讨中医药治疗脾肾亏虚型慢性肾脏病(chronic kidney disease,CKD)的用药规律,以期为临床治疗脾肾亏虚型CKD提供借鉴。方法 以中国知网、万方数据知识服务平台、维普网收录的文献为数据来源,借助Excel 2021、IBM SPSS Modeler 18.0、IBM SPSS Statistics 27对中医药治疗脾肾亏虚型CKD的相关文献进行关联规则分析、聚类分析,最后通过Cytoscape3.7.2、RStudio进行可视化处理。结果 共纳入方剂90首,涉及146味中药,高频药物排名前5位:黄芪、茯苓、白术、大黄、丹参,药性以平、温为主;药味以甘、苦、辛为主;归经以脾、肝、肾最为常见。关联规则分析展示常用的对药有黄芪–茯苓、黄芪–白术;常用角药为黄芪–白术–茯苓、黄芪–大黄–茯苓,聚类分析发现治疗脾肾亏虚型CKD中药分5类聚类效果较好。结论 初步明确中药治疗脾肾亏虚型CKD的用药规律,可为临床用药及新处方研发提供依据。
Objective Based on the theory of mutual admiration of spleen and kidney,this study intends to explore the medication patterns of traditional Chinese medicine for the treatment of spleen-kidney deficiency-type chronic kidney disease(CKD)by using data mining methods and to provide reference for the clinical treatment of spleen-kidney deficiency-type CKD.Methods The literatures included in China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform,and VIP databases were used as data sources.The literature related to traditional Chinese medicine treatment of spleen-kidney deficiency-type CKD was analyzed by Excel 2021,IBM SPSS Modeler 18.0,IBM SPSS Statistics 27,and systematic clustering analysis and finally visualized by Cytoscape 3.7.2,RStudio.Results A total of 90 prescriptions were included,involving 146 flavors of drugs.The top 5 high-frequency drugs were Huangqi,Fuling,Baizhu,Dahuang,and Danshen.The medicinal properties are mainly mild and warm;The medicinal taste is characterized by sweetness,bitterness,and pungent;The main meridians of drugs are spleen,liver,and kidney meridians.Association rule analysis demonstrated that the commonly used couplet drugs were Huangqi-Fuling and Huangqi-Baizhu;Commonly used corner drugs included Huangqi-Baizhu-Fuling and Huangqi-Dahuang-Fuling.Cluster analysis found that the clustering effect of spleen-kidney deficiency-type CKD treatment drugs in five categories was better.Conclusion The medication rules of traditional Chinese medicine in the treatment of spleen-kidney deficiency-type CKD are preliminarily clarified,which provides a basis for clinical medication and new prescription development.
作者
裴晨阳
钟光辉
王辰晨
宋雨炜
张荣荣
毛青云
PEI Chenyang;ZHONG Guanghui;WANG Chenchen;SONG Yuwei;ZHANG Rongrong;MAO Qingyun(The Third Clinical Medical College,Zhejiang Chinese Medical University,Hangzhou 310053,Zhejiang,China;Department of Nephrology,Ningbo Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University,Ningbo 315010,Zhejiang,China)
出处
《中国现代医生》
2025年第6期55-59,64,共6页
China Modern Doctor
基金
浙江省宁波市重点研发计划项目(2023Z165)
浙江省宁波市公益性科技计划项目(2022S083)
浙江省宁波市中医肾病临床医学研究中心项目(2024L001)。
关键词
脾肾互赞
脾肾亏虚
慢性肾脏病
数据挖掘
用药规律
Mutual admiration of spleen and kidney
Spleen and kidney deficiency
Chronic kidney disease
Data mining
Medication rule
