Table 5.

Univariate and multiple regression models to assess relationships between parameters of LV remodelling and flow parameters. In univariate models only significant associations (p<0.05) are shown. LVMI-I = Left ventricular mass index, RWM = Relative wall mass, WSS = wall shear stress

Model	Remodeling parameter	Independent variable	Estimate	p-value
Univariate models:
linear regression	LVM-I	vortical flow formation	10.94 ± 4.54	0.0213
		normalized flow displacement, S2	172.00 ± 81.04	0.0410
		normalized flow displacement, S3	185.61 ± 62.94	0.0056
		WSSpeak, S2	23.47 ± 10.15	0.0268
linear regression	RWM	vortical flow formation	0.18 ± 0.07	0.0115
		eccentricity	0.29 ± 0.13	0.0270
		normalized flow displacement, S2	3.65 ± 1.11	0.0023
		normalized flow displacement, S3	2.65 ± 0.94	0.0076
logistic regression	LV-remodeling	vortical flow formation	0.92 ± 0.42	0.0285
		normalized flow displacement, S2	16.53 ± 8.28	0.0459
Final multiple models, after stepwise selection:
linear regression	LVM-I	age*	−0.48 ± 0.33	0.15
		systolic blood pressure*	−0.24 ± 0.26	0.36
		aortic orifice area*	−13.84 ± 7.11	0.0611
		normalized flow displacement, S3	195.40 ± 65.82	0.0058
linear regression	RWM	age*	−0.003 ± 0.005	0.50
		systolic blood pressure*	0.002 ± 0.003	0.55
		aortic orifice area*	−0.28 ± 0.10	0.0058
		normalized flow displacement, S3	2.01 ± 0.87	0.0283
		WSSpeak, S2	−0.29 ± 0.15	0.0691
logistic regression	LV-remodeling	age*	0.05 ± 0.04	0.27
		systolic blood pressure*	0.004 ± 0.03	0.87
		aortic orifice area*	−2.27 ± 0.97	0.0195

^*parameter forced into the model