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基于数据挖掘探析中医药治疗糖尿病肾病的用药规律
许 璐,徐寒松,陈永华
0
(贵州中医药大学,贵州 贵阳,510025;贵州省第二人民医院,贵州 贵阳,550001)
摘要:
目的:采用数据挖掘方法探讨中医药治疗糖尿病肾病(DN)的用药规律。方法:计算机检索2021年1月1日至2023年5月31日中国知网(CNKI)、万方数据(WANFANG DATA)、维普中文科技期刊数据库(VIP)中有关中医药治疗DN的相关文献,使用Excel、SPSS Modeler 18.0软件对中药频次、功效、性味归经、关联规则进行分析。结果:纳入中药处方365首,中药264味,高频中药主要有黄芪、茯苓、生地黄等;功效主要以补虚药、清热药、利水渗湿药为主;药味以甘、苦最为常用,药性以温、寒为主;归经以肾、肺、脾经多见。关联规则分析显示常用药对为黄芪-丹参。结论:中医药治疗DN以补虚为主,兼以清热利湿,且活血化瘀法贯穿疾病治疗始终。
关键词:  糖尿病肾病  中医药疗法  数据挖掘  用药规律
DOI:
Medication rule of traditional Chinese medicine in treatment of diabetic nephropathy:A study based on data mining
XU Lu,XU Hansong,CHEN Yonghua
(Guizhou University of Traditional Chinese Medicine,Guiyang 510025,Guizhou,China;The Second People’s Hospital of Guizhou Province,Guiyang 550001,Guizhou,China)
Abstract:
Objective:To investigate the medication rule of traditional Chinese medicine (TCM) in the treatment of diabetic nephropathy (DN) based on data mining.Methods:CNKI,Wanfang Data,and VIP were searched for the articles on TCM in the treatment of DN published from January 1,2021 to May 31,2023,and Excel and SPSS Modeler 18.0 were used to perform related analyses of TCM drugs in terms of frequency,function,nature/taste/meridian entry,and association rule.Results:A total of 365 TCM prescriptions were included,involving 264 TCM drugs,and high-frequency drugs included Astragalus membranaceus,Poria cocos,and Radix Rehmanniae.The main function included tonifying deficiency,clearing heat,and promoting diuresis and draining dampness.Most drugs had a sweet or bitter taste and a warm or cold nature,and they mainly entered the kidney,lung,and spleen meridians.The association rule analysis showed that Astragalus membranaceus-Salvia miltiorrhiza was a commonly used drug combination.Conclusion:Tonifying deficiency is the main method for TCM in the treatment of DN,with consideration to both clearing heat and promoting diuresis,and the blood-activating and stasis-resolving therapy runs through the whole process of treatment.
Key words:  diabetic nephropathy  traditional Chinese medicine treatment  data mining  medication rule

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