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Table 4 Multiple logistic regression analysis for diastolic heart failure (DHF) and components of metabolic syndrome (MetS) as binary variables

From: The association and predictive value analysis of metabolic syndrome on diastolic heart failure in patients at high risk for coronary artery disease

Model Variable β S.E. P value OR 95% CI
Model 1 BMI 0.12 0.407 0.773 1.125 0.51-2.5
  BP 1.82 0.428 <0.001 6.197 2.68-14.35
  FBG 0.47 0.364 0.201 1.592 0.78-3.25
  TG 0.80 0.416 0.043 2.236 1.01-5.05
  HDL −0.36 0.376 0.339 0.698 0.33-1.46
Model 2 Constant −3.41 0.514 <0.001   
  Age 0.69 0.146 <0.001 2.004 1.51-2.67
  UA 0.93 0.488 0.045 2.546 1.08-6.62
  BP 1.93 0.413 <0.001 6.893 3.07-15.49
  TG 0.81 0.388 0.038 2.236 1.05-4.78
  1. Note: Model 1 adjusted for age, serum creatinine, creatinine clearance rate, serum uric acid, left ventricular mass index and coronary artery disease; Model 2 was the best model. The following variables were entered in step 1: age, serum creatinine, creatinine clearance rate, serum uric acid, left ventricular mass index and coronary artery disease, body mass index, blood pressure, fasting blood glucose, triglycerides and high-density lipoprotein.
  2. SE standard error, OR odds ratio, CI confidence interval.