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Table 4 Final model using backward stepwise multinomial logistic regression analysis to include MetS 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

0.672

0.156

<0.001

1.96

1.44-2.65

 

LVMI

0.015

0.006

0.008

1.02

1.00-1.02

 

HR

0.914

0.381

0.017

2.49

1.18-5.26

 

Anti-lipids drug

-0.706

0.412

0.087

0.49

0.22-1.10

 

MetS

0.497

0.175

0.004

1.64

1.16-2.31

 

Intercept

-5.317

0.888

<0.001

  

SHF v.s Control

Age

0.690

0.195

<0.001

1.99

1.36-2.92

 

LVMI

0.040

0.007

<0.001

1.04

1.02-1.05

 

HR

1.807

0.414

<0.001

6.09

2.70-13.72

 

Anti-lipids drug

0.328

0.450

0.466

1.39

0.57-3.35

 

MetS

0.286

0.105

0.043

1.33

1.08-1.64

 

Intercept

-9.998

1.182

<0.001

  
  1. Note: Age, gender, smoking, HR, Ccr, UA, LVMI, anti-Lips, anti-hypertension and lowering lipids drugs and CAD are stated to enter multinomial logistic regression analysis. MetS- metabolic syndrome, LVMI- left ventricular mass index, HR- heart rate.