Table 3.

Multiple linear regression analysis of variables for the prediction of left ventricular reverse remodeling

		Estimated beta	standard error	p-value
Model 1	radial strain	1.834	0.839	0.033
	circumferential strain	7.527	3.275	0.026
	longitudinal global strain	−38.444	11.797	0.002
	3D circumferential strain	30.932	12.572	0.017
	3D longitudinal global strain	−4.123	6.884	0.55
	longitudinal global strain: 3D longitudinal global strain	−2.390	0.796	0.004
	3D circumferential strain: 3D longitudinal global strain	2.179	0.840	0.012
Model 2	max velocity of aortic valve	−12.566	4.845	0.012
	longitudinal global strain	−3.335	0.849	<0.001

All strain parameters (6 variables) were calculated by a stepwise multiple linear regression analysis, and several multiple linear regression models were performed with strain parameters or baseline parameters; Model 1, adjusting the stepwise selection as considered with interaction; Model 2, including the main effect term adjusting with baseline parameters such as the age, gender, E velocity, e` velocity, max velocity of aortic valve, ejection fraction by Simpson’s method

All strain parameters were measured by cardiovascular magnetic resonance myocardial tissue tracking