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Table 2 Final model using backward stepwise multinomial logistic regression analysis to include MetS components for SHF and DHF

From: Association and predictive value analysis for metabolic syndrome on systolic and diastolic heart failure in high-risk patients

Model

Variables

β

SE

P value

OR

95% CI

DHF v.s Control

Age

0.655

0.165

<0.001

1.92

1.39-2.66

 

LVMI

0.015

0.006

0.013

1.01

1.00-1.02

 

HR

0.469

0.41

0.252

1.60

0.71-3.56

 

FPG

0.049

0.481

0.919

1.05

0.40-2.69

 

HT

0.292

0.109

0.044

1.34

1.08-1.66

 

TG

0.728

0.280

0.049

2.07

1.20-3.59

 

Intercept

-6.346

1.132

<0.001

  

SHF v.s Control

Age

0.718

0.211

0.001

2.05

1.35-3.09

 

LVMI

0.037

0.007

<0.001

1.03

1.02-1.05

 

HR

1.565

0.439

<0.001

4.78

2.02-11.31

 

FPG

1.322

0.547

0.016

3.75

1.28-10.95

 

HT

1.278

0.611

0.036

3.59

1.08-11.88

 

TG

-0.02

0.471

0.967

0.98

0.39-2.466

 

Intercept

-12.024

1.719

<0.001

  
  1. Note: Age, gender, smoking, HR, Ccr, UA, LVMI, CAD and medical therapy are stated to enter multinomial logistic regression analysis. HT- Hypertension, FPG- fasting plasma glucose, TG- triglyceride, LVMI- left ventricular mass index, HR- heart rate.