Table 3.

Regression model to identify association between segmental strain, segement thickness and tissue characteristics

			Segment thickness	BIC	LGE	BIC	Native T1	BIC	Extracellular volume	BIC
Ecc-FT	Univariable	Beta	1.325 (1.200;1.450)	5345.6	9.234 (7.444;11.024)	5592.9	0.039 (0.031;0.047)	5476.3	0.268 (0.168;0.368)	5368.1
		P value	<0.001		<0.001		<0.001		<0.001
	Multivariable 1	Beta	1.317 (1.165;1.470)	5074.1	1.294 (-0.601;3.191)				−0.046 (-0.136;0.045)
		P value	<0.001		0.195				0.394
	Multivariable 2	Beta	1.219 (1.070;1.368)	5214.3	0.331 (-1.470;2.131)		0.015 (0.008;0.022)
		P value	<0.001		0.718		<0.001
Err-FT	Univariable	Beta	−3.573 (−3.963;−3.183)	7167.8	−25.595 (-30.940;-20.251)	7354.3	−0.118 (−0.142;−0.093)	7177.7	−0.693 (−0.991;−0.394)	6997.0
		P value	<0.001		<0.001		<0.001		<0.001
	Multivariable 1	Beta	−3.532 (-4.011;-3.073)	6758.4	−4.861 (-10.661;0.941)				0.201 (-0.080;0.481)
		P value	<0.001		0.101				0.161
	Multivariable 2	Beta	−3.193 (-3.659;-2.726)	6986.5	−1.266 (-6.868;4.336)		−0.053 (-0.075;-0.030)
		P value	<0.001		0.658		<0.001
Ecc-SPAMM	Univariable	Beta	1.039 (0.881;1.198)	3651.4	8.525 (6.382;10.667)	3738.8	0.033 (0.024;0.042)	3681.3	0.292 (0.167;0.417)	3601.5
		P value	<0.001		<0.001		<0.001		<0.001
	Multivariable 1	Beta	0.964 (0.782;1.146)	3451.0	2.603 (0.341;4.866)				0.061 (-0.055;0.177)
		P value	<0.001		0.024				0.303
	Multivariable 2	Beta	0.0849 (0.669;1.030)	3581.4	2.194 (-0.029;4.417)		0.017 (0.008;0.025)
		P value	<0.001		0.053		<0.001

Mixed effects model, with random intercept for each patient assessing the association between Ecc-FT, Err-FT and Ecc-SPAMM and the tissue characteristics of each segment. Multivariable model 1 includes segment thickness, LGE and ECV and model 2 includes segment thickness, LGE and native T1. Values denoted in bold are statistically significant with P<0.05. Beta, regression coefficient with 95% confidence interval; BIC, Bayesian information criterion