Explore the medication rules of Chinese medicine of Professor Huang Wenzheng for the treatment of chronic kidney disease based on data mining

Abstract

Highlights：

The study found the backbone network and three-level network of the Chinese medicine for the treatment of CKD by homogeneous network analysis. The 5 top commonly used herbs were Dan Shen (Radix Salviae Miltiorrhizae) , Fu Ling (Poria) , Huang Qin (Radix Scutellariae), Sheng Di Huang (Radix Rehmanniae Recens) and Sha Ren (Fructus Amomi Villosi), respectively.

Abstract

In recent years, chronic kidney disease (CKD) received increased attention due to its high prevalence and adverse effects. Current treatment options for CKD are limited. Many patients seek alternative therapies, such as traditional Chinese medicine (TCM). TCM has been used widely in the treatment CKD for many years. The purpose of this study is to explore the medication rules of Professor Huang Wenzheng's treatment of CKD with Chinese medicine based on data mining. The structured case database was built for 131 patients with CKD treated by Prof. Huang. The complex network analysis was applied to analyze the medication principle of Chinese medicines.The study found the backbone network and three-level network of the Chinese medicines for the treatment of CKD by homogeneous network analysis. The 5 top commonly used herbs were Dan Shen ( Radix Salviae Miltiorrhizae) , Fu Ling ( Poria) , Huang Qin ( Radix Scutellariae), Sheng Di Huang ( Radix Rehmanniae Recens) and Sha Ren ( Fructus Amomi Villosi), respectively.

Translated abstract

近年来,慢性肾病由于其发病率高,预后不良等备受关注。由于缺乏有效的根治手段,很多人采用中医治疗。中医治疗慢性肾病已有几千年的历史,本文运用数据挖掘的方法,对名老中医黄文政教授治疗慢性肾脏病的用药规律进行总结。收集131例（1909诊次）慢性肾病患者资料,建立结构化病例数据库,运用复杂网络分析方法,系统的分析了黄文政教授在治疗慢性肾脏病用药规律和特点。同质网络分析得到了慢性肾脏病的用药骨干网络与三级网络。中药频次前5位的依次是丹参、茯苓、黄芩、生地黄、砂仁。