来源：风湿病与关节炎,2020,9（8）:25-28.

基于数据挖掘的中药治疗痛风性肾病用药规律分析

（临床研究）

刘子安¹，刘　维²，张亚坤³

　　【摘　要】目的：基于数据挖掘技术，探讨中医药治疗痛风性肾病的临床用药规律，为临床治疗痛风性肾病提供参考。方法：收集中国知网（CNKI）1979年至2019年中医药治疗痛风性肾病的临床文献，利用数据挖掘技术（频数分析、关联规则分析、聚类分析）对核心药物规律进行分析。结果：共筛选出符合条件的临床文献83篇，涉及91份处方及156味中药。药物出现频数累计1003次，使用频率最高的前4味中药依次是土茯苓、萆薢、黄芪、薏苡仁；利用关联规则分析得到43条常用组合，最常用的组合是薏苡仁+土茯苓→萆薢。利用聚类分析得到10条常用分类，其中黄柏与苍术的同质性最高。结论：中医药治疗痛风性肾病以清热祛湿降浊为主，兼以补肾健脾，活血化瘀。

　　【关键词】　痛风性肾病；中药；数据挖掘；用药规律；关联规则

Analysis of Medication Rule in Treating Gouty Nephropathy with Traditional Chinese Medicine Based on Data Mining

LIU Zi-an,LIU Wei,ZHANG Ya-kun

　　【ABSTRACT】Objective:Based on data mining technology,to explore the clinical medication rules of traditional Chinese medicine in the treatment of gouty nephropathy,and to provide reference for clinical treatment of gouty nephropathy.Methods:Collecting the clinical literature of gouty nephropathy treated by traditional Chinese medicine from CNKI from 1979 to 2019,using the Data mining technology frequency analysis, association rule analysis, cluster analysis to analyze the core medication rules.Results:A total of 83 eligible clinical literatures were selected,involving 91 prescriptions and 156 traditional Chinese medicines.The frequency of drug occurrence was 1003 times,and the top 4 herbs with the highest frequency were Tufuling（Rhizoma Smilacis Glabrae）,Bixie（Dioscorea septemloba Thunbt）,Huangqi（Radix Astragali）,Yiyiren（Semen Coicis）;43 common combinations were obtained by association rule analysis,and the most commonly used combination was Yiyiren（Semen Coicis） + Tufuling（Rhizoma Smilacis Glabrae）→Bixie（Dioscorea septemloba Thunbt）.Ten common classifications were obtained by cluster analysis,among which Phellodendron chinense and Atractylodes lancea had the highest homogeneity.Conclusion:TCM treatment of gouty nephropathy mainly focuses on clearing heat,removing dampness and turbidity,and tonifying kidney and spleen,promoting blood circulation and removing blood stasis.

   【Keywords】 gouty nephropathy;traditional Chinese medicine;data mining;medication rules;association rules