Regression Analysis on Related Factors of Plasma Fibrinogen Level in Patients with Newly Diagnosed Type 2 Diabetes/

Abstract：Objective:To explore related factors of plasma fibrinogen (FIB) levels in the newly diagnosed type 2 diabetic patients.Methods:To select clinical data of hospitalized patients of 67 cases that newly diagnosed type 2 diabetes in our hospital from January 2011 to August 2012,and using t-tests and multiple linear regression analysis (step-by-step method),retrospectively analyze relationship between plasma FIB and patient’s age,disease duration,blood pressure,fasting blood glucose (FBG),triglyceride(TG),total cholesterol(TC),Low-density(LDL-CH),high-density lipoprotein(HDL-CH),fasting C-peptide(FCP), glycosylated hemoglobin(HbA1c) and glycosylated serum protein(GSP),plasma homocysteine(Hcy),serum uric acid(UA),C-reactive protein (CRP). Results:In addition to the argument UA into the regression analysis model(F=7.904,P=0.013),the regression model was statistically significant,the other independent variables did not enter the regression model,UA and FIB were linear dependencies[regression system B=1.996,t=3.212,P=0.006,95%CI(0.672, 3.321)],and a positive correlation (R=0.658,R2=0.432).Conclusion:Serum UA levels is the predictors of plasma FIB levels in newly diagnosed type 2 diabetic patients,controling blood UA levels can help to reduce the level of plasma FIB.