Table 3.

Predictors of annual left ventricular mass gain ($\frac{\mathit{L}\mathit{V}\mathit{m}\mathit{a}\mathit{s}\mathit{s}(\mathit{g}\mathit{r})}{{\mathit{B}\mathit{S}\mathit{A}(\mathit{m}}^2)\mathit{y}\mathit{e}\mathit{a}\mathit{r}}$) in hypertrophic cardiomyopathy. Univariate linear regression analysis suggested age, BMI, LGE and LA diameter to be predictive for LV mass gain rate. A multivariate regression model revealed, age and LGE mass at the time of baseline CMR as the only independent predictors of LV mass gain rate (R² = 0.48; p = 0.002).

A)Univariate linear regression analysis.
Parameter (n = 32)	Beta	R2	B	p
Age [yrs]	−0.43	0.18	−0.16	0.02
BMI [m2]	−0.45	0.20	−0.61	0.01
LV mass [gr]	−0.33	0.11	−0.04	0.06
LGE mass [gr]	−0.39	0.15	−0.14	0.03
LA diameter [mm]	−0.37	0.14	−0.30	0.04
NT-proBNP [ng/l]	0.39	0.15	0.002	0.08

B)Multivariate linear regression model.
Parameter (n=32)	Beta	B	p
Age [yrs]	−0.44	−0.17	0.02
BMI [m2]	−0.26	−0.35	0.20
LGE mass [gr]	−0.46	−0.14	0.02
LA diameter [mm]	−0.15	−0.11	0.45

Beta = standardized regression coefficient; B = non-standardized regression coefficient; CI: confidence interval.

BMI = body mass index; LV mass = left ventricular mass; LGE = late gadolinium enhancement; LA = left atrium; NT-proBNP = N-terminal pro brain natriuretic peptide.