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Table 3 Stepwise multivariable linear regression models for CMR EF1

From: First-phase ejection fraction by cardiovascular magnetic resonance predicts outcomes in aortic stenosis

 

Model 1 (r2 0.06) n = 137

Model 2 (r2 0.07) n = 117

Model 3 (r2 0.07) n = 117

Coefficient

95% CI

p value

Coefficient

95% CI

p value

Coefficient

95% CI

p value

Zva

− 0.44

− 0.79, − 0.09

 < 0.05

− 0.35

− 0.73, 0.04

ns

− 0.32

− 0.71, 0.08

ns

iECV

− 0.26

− 0.57, 0.04

ns

− 0.31

− 0.69, 0.07

ns

− 0.34

− 0.74, 0.05

ns

Infarct LGE

− 0.01

− 0.32, 0.32

ns

− 0.05

− 0.39, 0.29

ns

− 0.07

− 0.42, 0.28

ns

Hs-cTnI

   

0.01

− 0.10, 0.11

ns

0.01

− 0.09, 0.12

ns

BNP

   

− 0.02

− 0.11, 0.07

ns

− 0.01

− 0.10, 0.09

ns

Age per 10 years

      

− 0.03

− 0.14, 0.09

ns

Male

      

0.06

− 0.20, 0.33

ns

  1. Zva, iECV, hs-cTnI and BNP were log2-transformed
  2. Zva aortic impedance, iECV indexed extracellular volume, LGE late gadolinium enhancement, hs-cTnI high sensitive cardiac troponin I, BNP brain natriuretic peptide