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. Author manuscript; available in PMC: 2019 Mar 1.
Published in final edited form as: J Magn Reson Imaging. 2017 Jul 24;47(3):779–786. doi: 10.1002/jmri.25811

Table 3.

Multivariable Logistic Regression Analysis of NICM patients with ComVA as the Dependent Variables

Odds Ratio 95% CI p-value
Native T1 (each 10ms increment) 1.14 1.03–1.25 0.008
NYHA functional class 2.70 1.28–5.71 0.009

The clinical characteristics that were univariate predictors of ComVA that were also included in the multivariable model were age (p=0.51), male gender (p=0.28), LV EDV index (p=0.87), and LGE volume (%) (p=0.82).