基于数据挖掘技术分析中药复方治疗干燥综合征的用药规律

Analysis of Medication Patterns in Chinese Herbal Formulas for Treating Sjögren’s Syndrome Based on Data Mining Techniques

摘要: 目的：应用数据挖掘技术探究中药复方治疗干燥综合征的用药规律。方法：检索国家知识产权局中与“干燥综合征”相关的中药发明专利，筛选符合纳入标准的中药复方，运用R语言进行频次统计、性味归经、功能类别分析、聚类分析和复杂网络分析。结果：共纳入59项专利，涉及291味中药，麦冬、石斛、生地等为高频药物。常见药物多属滋阴润燥、益气清热类，药性多寒、甘、苦，归肺、肝、胃经。聚类分析显示复方结构以滋阴、益气、通络三类药物为主；网络分析揭示麦冬–石斛、黄芪–麦冬等药对为核心节点。结论：中医治疗干燥综合征强调“阴虚燥热、气津两伤”，中药复方配伍体现辨证施治与协同机制，数据挖掘可为其优化提供方法支持。

Abstract: Objective: To explore the medication patterns of Chinese herbal compound prescriptions for Sjögren’s syndrome (SS) using data mining techniques. Methods: Chinese herbal formula patents related to SS were retrieved from the Chinese National Intellectual Property Administration (CNIPA). Eligible prescriptions were analyzed through frequency statistics, property-flavor-meridian analysis, functional categorization, clustering, and complex network construction using R language. Results: A total of 59 patent formulas involving 291 herbs were included. Frequently used herbs such as Ophiopogonis Radix, Dendrobii Caulis, and Rehmanniae Radix were mainly classified as yin-nourishing, heat-clearing, and qi-tonifying. The herbs were primarily cold in nature, sweet or bitter in taste, and entered the lung, liver, and stomach meridians. Cluster analysis revealed three major herbal groups: yin-nourishing, qi-tonifying, and channel-unblocking. Complex network analysis identified core herb pairs including Ophiopogonis Radix-Dendrobii Caulis and Astragali Radix-Ophiopogonis Radix. Conclusion: The treatment of SS in traditional Chinese medicine emphasizes syndromes of yin deficiency and dryness-heat. Herbal compound prescriptions reflect the principles of pattern differentiation and synergistic action. Data mining provides a scientific method for revealing and optimizing traditional formula structures.