基于数据挖掘探讨中医药治疗NPDR用药规律  被引量:4

Discussion on the medication rule of Traditional Chinese Medicine in treating nonproliferative diabetic retinopathy based on data mining technology

在线阅读下载全文

作  者:丁艳红 张东蕾[2] 何伟[3] DING Yanhong;ZHANG Donglei;HE Wei(Liaoning University of Traditional Chinese Medicine,Shenyang 110032,China)

机构地区:[1]辽宁中医药大学,沈阳110032 [2]辽宁何氏医学院,沈阳110163 [3]沈阳何氏眼科医院,沈阳110141

出  处:《中国中医眼科杂志》2022年第4期263-268,共6页China Journal of Chinese Ophthalmology

基  金:辽宁省科学技术计划项目(2019JH2/10300011)。

摘  要:目的基于数据挖掘技术分析中医药治疗非增殖性糖尿病视网膜病变(NPDR的用药规律,为临床治疗NPDR提供用药参考。方法检索2010年1月—2020年12月中国知网、万方、维普、中国生物医学文献数据库中中医药治疗NPDR的临床研究类文献,将纳入文献的方药组成、中医证候录入Excel 2016建立数据库,采用古今医案云平台医案数据库进行中药的使用频次分析、药物属性、中医证候进行统计,并做关联分析、聚类分析和复杂网络分析。结果(1)一般情况:共纳入文献94篇。包含方剂94首,共涉及中药150味、中医证候15个。四气以微寒性药最多,共38味,占比25.33%。五味以甘味药最多,共67味,占比44.67%。归经以肝经最多,共40味,占比26.67%。(2)使用频次:使用频次≥20次的中药(高频中药)有15味,排名前5位的分别为生地黄(66次,64.08%)、黄芪(64次,62.14%)、丹参(41次,39.81%)、枸杞子(38次,36.89%)和山药(36次,34.95%)。(3)中医证候:排在前5位的分别为气阴两虚证(32次,34.04%)、瘀血阻络证(23次,24.47%)、肝肾阴虚证(10次,10.64%)、阴虚证(8次,8.51%)和气滞血瘀证(6次,6.38%)。(4)中药配伍关联分析:相关度排在前5位的药对分别是玄参-生地黄;丹参、生地黄-黄芪;丹参、黄芪-生地黄;黄芪-生地黄;生地黄-黄芪。(5)聚类分析:药对和方剂共5类,其功效分别是滋阴补气、凉血滋阴健脾、活血化瘀、补肝益肾养阴、清热凉血通络。(6)核心药物对应证候分析:权重排在前5位的分别是黄芪-气阴两虚证、生地黄-气阴两虚证、黄芪-瘀血阻络证、当归-气阴两虚证、麦冬-气阴两虚证。结论临床治疗NPDR所选用的中药药性多微寒,药味多甘,主入肝经,以气阴两虚证多见,临证时应注重组方配伍,活用核心药物。OBJECTIVETo analyze the medication rule of Traditional Chinese Medicine(TCM)in the treatment of non-proliferative diabetic retinopathy(NPDR)based on data mining technology so as to provide reference for clinical treatment of NPDR.METHODSThe clinical research literature on the treatment of NPDR with TCM was retrieved from the databases of CNKI Wangfang,VIP and CBM from January 2010 to December 2020.The prescription composition and TCM syndrome of the retrieved literature were input into Excel 2016 software to establish the database,the ancient and modern medical records cloud platform medical records database was used to analyze the use frequency of TCM,drug property and TCM syndrome,and correlation analysis,cluster analysis and complex network analysis were performed.RESULTS(1)General information:A total of ninetyfour literatures were included,containing ninety-four prescriptions,involving 150 herbs,and fifteen TCM syndromes.Among the four natures,mild cold medicine was the most,with a total of thirty-eight flavors,accounting for 25.33%.Among the five flavors,sweet medicine was the most,with a total of sixty-seven flavors,accounting for 44.67%.The most frequent meridian tropism was the Liver Meridian,with a total of fourty flavors,accounting for 26.67%.(2)Frequency of use:Fifteen Chinese medicines(high frequency Chinese Medicine)were used at least twenty times,among which the top five were Rehmannia glutinosa(66 times,64.08%),Astragalus membranaceus(64 times,62.14%),Salvia miltiorrhiza(41 times,39.81%),Lycium barbarum(38 times,36.89%),Rhizoma dioscoreae(36 times,34.95%).(3)TCM syndrome:The top five were Qi and Yin deficiency syndrome(32 times,34.04%),blood stasis blocking collaterals syndrome(23 times,24.47%),liver and kidney Yin deficiency syndrome(10 times,10.64%),Yin deficiency syndrome(8 times,8.51%),and Qi stagnation and blood stasis syndrome(6 times,6.38%).(4)Correlation analysis of TCM compatibility:The top five drug pairs with correlation were Radix Scrophulariae and Radix Rehmanniae;Salvia miltiorrhiza,R

关 键 词:古今医案云平台 糖尿病视网膜病变 非增殖性糖尿病视网膜病变 组方规律 

分 类 号:R276.7[医药卫生—中医五官科学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象