Medication Rules of Traditional Chinese Medicine Compounds in Treating Early Hypertensive Nephrosclerosis Based on Data Mining

ZHAO Jinyue; HAN Yubo; SUI Yanbo; ZOU Guoliang; LI Hongyan; LIU Li

doi:10.12102/j.issn.1672-1349.2023.23.003

Abstract：Objective:Data mining technology was used to analyze the traditional Chinese medicine(TCM)compounds for treating early hypertensive nephrosclerosis(EHN).Methods:TCM compounds with EHN as the main disease were searched from China National Knowledge Infrastructure(CNKI),Wanfang Data,Wipro Chinese Full-text Database of Scientific,and Technological Journals(VIP),and Chinese Biomedical Literature Service System(SinoMed).The drug frequency,property,flavors,attributive channel,drug dosage,correlation,association rules,and cluster analysis were carried out to explore the prescription formation rule of EHN treatment.Results:A total of 79 literatures were included,with 82 prescriptions,involving 128 flavors of TCM,and the frequency of medication was 867 times.There were 28 herbs with frequency≥10 times,and the top 5 herbs were radix salviae,cornus officinalis sieb,poria cocos,rhizoma dioscoreae and achyranthis bidentatae radix.The four Qi were mainly warm and cold,and the five tastes were mainly sweet,bitter and xin,which attributive the liver,kidney,and spleen channels.The association rules were set with support≥25%,confidence≥90%and lift＞1 to obtain 17 combinations of commonly used drugs combinations.Three groups of new prescriptions for different syndrome types were obtained by cluster analysis.Conclusion:TCM differentiation and treatment of EHN is mainly based on nourishing Yin and suppressing Yang,promoting blood and clearing collaterals,as well as clearing vacuity and heat,promoting blood circulation for removing obstruction in collaterals,as well as clearing deficiency heat,resolving phlegm and dispelling dampness.Through data mining technology,will provide reference for clinical prescriptions and the development of new prescriptions and medicines.