Objective To explore the risk factors of Qi deficiency syndrome of type 2 diabetes mellitus and to provide evidence for prevention and cure diabetes mellitus with TCM.Methods On the basisof the epidemiological survey,147 cases of Type 2 diabetes mellitus were collected and divided into Qi deficiency syndrome group and non-Qi deficiency syndrome group.The relationships between risk factors and Qi deficiency syndrome were analyzed by unconditional univariate and multivariate Logistic regression.Results Two hours postprandial blood sugar[2PPBS (β value is-0.764,OR (95％CI) is 0.466 (0.236 ～ 0.919)],apolipoprotein-B [APo-B (β value is-1.005,OR (95％CI)is 0.366 (0.140～0.959)],urine glucose [β value is-1.300,OR(95％CI)is 0.273 (0.127～0.584)] were inverse correlation with Qi deficiency syndrome of type 2 diabetes mellitus.Conclusion Qi deficiency syndrome of type 2 diabetes mellitus was inverse correlation with 2PPBS、APo-B and urine glucose.

Objective To establish the decision tree model of Yang deficiency syndrome and clinical conventional indexes in type 2 diabetes mellitus patients.Methods Syndrome decision and clinical indexes collection from 249 type 2 diabetes mellitus patient were observed and analyzed.Tree structure model were built to summarize the correspondence between Yang deficiency syndrome and clinical conventional indexes based on T test,nonparametric analysis,and Spearman correlation analysis.Results The Yang deficiency syndrome accounted for 31.33％ of 249 type 2 diabetes mellitus patients.The accuracy identification rate of tree structure model of Yang deficiency syndrome with four core index,such as LPa、FT3、TSH、FINS was 84.74％,the sensitivity and specificity were 74.36％ and 89.47％.Conclusion Decision tree model can identify Yang deficiency syndrome of type 2 diabetes mellitus patients clearly and more intuitive.Decision tree model can provide the chance of syndrome objective.