基于多元统计分析方法的糖尿病早期微血管病变的证候规律探析

摘要

Objective] The use of structural equation model and clustering analysis method on early diabetic microvascular lesion regularity of TCM syndrome were studied. [Methods]The clinical investigation for 531 cases of patients with early diabetic microvascular lesions in four diagnostic information,application of structural equation model to screen common illness and disease syndrome factor ,combining clustering and frequency analysis to justify element combination of regularity and distribution of exploratory research.[Results] According to disease syndrome factor combination of structural equation model to construct,liver and spleen most close relations between the two organs,secondly,spleen kidney and liver and kidney,liver,stomach and kidney stomach; According to disease syndrome factor combination of structural equation model to construct ,Yin deficiency and real hot highest correlation,the disease is closely related to the nature; According to the clustering results of syndrome factor ,spleen wet/spleen and kidney Yang deficiency of damp and hot,hot liver and stomach qi deficiency and qi stagnation,Yin deficiency were gathered into a class; According to the results of frequency analysis,early diabetic microvascular lesions of patients with Yin deficiency(95.1%),on the basis of with kidney Yang deficiency(80.2%),and a variety of syndrome of phenomena.[Conclusion] Through the application of multivariate statistical analysis method to explore early diabetic microvascular disease syndromes law has the feasibility.%[目的]运用结构方程模型和聚类分析方法对糖尿病早期微血管病变的中医证候规律进行研究。[方法]临床调查获取531例糖尿病早期微血管病变患者的四诊信息，应用结构方程模型筛选常用的病位和病性证素，联合聚类及频数分析对证素的组合规律及分布进行探索性研究。[结果]根据病位证素组合的结构方程模型构筑，肝脾两脏关系最为密切，脾肾其次，再者肝肾、肝胃、肾胃；根据病性证素组合的结构方程模型构筑，阴虚与实热相关性最高，各病性密切相关；根据证素的聚类结果，脾湿/脾湿热、肾阳虚、肝热、胃气虚气滞、阴虚分别聚成一类；根据频数分析的结果，糖尿病早期微血管病变的患者在有阴虚（95．1%）的基础上，以肾阳虚（80．2%）多见，并有多种证候并存的现象。[结论]综合应用多元统计分析方法客观探索中医证候分布规律，具有一定的实用性和可行性，值得进一步研究。