新疆医科大学学报

目的 基于数据挖掘技术分析国家专利数据库自建库以来中药复方干预糖尿病肾脏疾病(Diabetic kidney disease, DKD)的组方用药规律。方法 计算机检索国家知识产权局和中国知网专利数据库中干预DKD的中药复方，建立处方数据库，运用SPSS Statistics25.0、SPSS Modeler18.0、Cytoscape3.8.0和Gephi0.9.2软件进行频数统计、关联规则分析、聚类分析，导出药物拓扑属性值并构建核心药物网络图。结果 中药复方干预DKD中使用频次≥30次的中药有15味，主要以黄芪(132次)、丹参(69次)、大黄(53次)、山茱萸(53次)、山药(51次)为主；药物功效分类以补虚药(785次，39.47%)、活血化瘀药(258次，12.97%)、清热药(254次，12.77%)、利水渗湿药(169次，8.5%)、收涩药(124次，6.23%)为主；四气五味主要涉及温、寒、平和甘、苦、辛；归经以肝、脾、肾为主。关联规则分析显示，常用对药17组、角药13组。由核心药物网络图得到20味核心中药。系统聚类分析得到5组干预DKD的常用基础方。结论 中药复方专利治疗DKD以益气养阴、滋补肾精、清热泻火、活血利水、解毒泄浊、固摄敛精为主，同时结合“虚、实、肾络”等层面辨证用药。

Objective Based on data mining technology, to analyze the medication rules of Chinese herbal compound in intervention ofdiabetic kidney disease in national patent database since establishment. Methods The computer searched the patent database of National Intellectual Property Administration and National Knowledge Infrastructure for Chinese herbal compound prescriptions that intervene in diabetic kidney disease, established a prescription database, and used SPSS Statistics25.0, SPSS Modeler18.0, Cytoscape3.8.0 and Gephi0.9.2 to conduct frequency statistics, association rule analysis, cluster analysis, and derive the topological attribute values of drugs and construct the core drug network diagram. Results 15 Chinese herbal medicines were used more than or equal to 30 times, mainly including Radix Astragali(132 times), Radix Salviae Miltiorrhizae(69 times), Radix et Rhizoma Rhei(53 times), Fructus Corni(53 times) and Rhizoma Dioscoreae(51 times).The drug efficacy categories were mainly tonifying drugs(785 times, 39.47%), drugs for promoting blood circulation and removing blood stasis(258 times, 12.97%), heat-clearing drugs(254 times, 12.77%), drugs for diuresis and diffusing dampness(169 times, 8.5%) and astringent drugs(124 times, 6.23%). The 4 nature of drugs and 5 flavors mainly involved warm, cold, calm, and sweet, bitter, and pungent.The main meridians were liver, spleen and kidney. According to the association rule analysis, 17 groups of commonly used double drugs and 13 groups of triple drugs were obtained. From the core drug network diagram obtained 20 core traditional Chinese medicines. Systematic clustering analysis yielded 5 groups of drug combinations. Conclusion The patented Chinese medicine compound formula for the treatment of diabetic kidney disease is based on benefiting qi and nourishing yin, nourishing kidney essence, clearing heat-fire, promoting blood circulation and diuresis, detoxifying and draining turbidity, and consolidating and astringing essence, andat the same time, it is combined with dialectical medication at the levels of “deficiency, excess, and kidney meridians”.