Table 3.

Multivariable Linear Regression Models for Change in LA Volume, with DHS-2 LA Maximal Volume as the Dependent variable

Variable	Model 1		Model 2		Model 3
	Parameter Estimate*	P Value	Parameter Estimate*	P Value	Parameter Estimate*	P Value
DHS1 LA maximal volume	0.50	<0.0001	0.46	<0.0001	0.43	<0.0001
age	−0.06	0.06	−0.02	0.55	0.03	0.41
Black (vs. white)	0.12	0.0003	0.09	0.008	0.10	0.002
Hispanic (vs. white)	0.09	0.005	0.10	0.002	0.10	0.0001
male	0.12	0.0002	0.05	0.24	004	0.94
DHS1 BMI	0.22	<.0.0001	0.20	<0.0001	0.18	<0.0001
Δ BMI	0.08	0.01	0.06	0.06	0.05	0.07
DHS1 SBP	0.07	0.07	0.04	0.34	0.06	0.07
Δ SBP	0.12	0.0003	0.11	0.001	0.11	0.0002
DHS1 Hypertension Medications	−0.01	0.66	−0.006	0.86	0.02	0.59
DHS2 Hypertension Medications	−0.004	0.91	−0.009	0.81	0.006	0.87
DHS1 NT- proBNP	0.41	0.001	0.34	0.007	0.24	0.04
Δ NT-proBNP	0.10	0.001	0.07	0.02	0.04	0.17
Diabetes	−0.07	0.02	−0.08	0.008	−0.08	0.004
Estimated GFR			0.02	0.51	0.02	0.39
DHS1 LV mass			0.15	0.002
Δ LV mass			0.07	0.04
DHS1 LV EDV					0.25	<0.0001
Δ LV EDV					0.34	<0.0001
DHS1 LV wall thickness					0.05	0.21

^*The parameter estimate is a standardized Beta coefficient, which reflects a 1 standard deviation change in the dependent variable (DHS 2 maximal size) and a 1 standard deviation change in each of the continuous independent variables.

Abbreviations as in table 1