Table 4.
Simple and multiple regression analysis evaluating the impact of sodium excretion, BP and drug consumption on left ventricular mass changes.
| All Patients (n = 138) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Simple Linear Regression Analysis | Multiple Regression Analysis | ||||||||||
|
Dependent
Variable |
Independent
Variables (IVs) |
R2 | B | β |
Significance
(p Value) |
Dependent
Variable |
Independent
Variables (IVs) |
R2 | B | Β |
Significance
(p Value) |
| Δ LVMI | - | - | - | - | - | Δ LVMI | All IVs (block) | 0.454 | - | - | p < 0.000001 |
| Δ UNaV | 0.449 | 0.175 | 0.670 | p < 0.000001 | Δ UNaV | - | 0.177 | 0.677 | p < 0.000001 | ||
| Δ SBP | 0.001 | 0.025 | 0.039 | p = 0.725 | Δ SBP | - | −0.010 | 0.012 | p = 0.890 | ||
| Δ DBP | 0.000 | 0.000 | 0.000 | p = 0.998 | Δ DBP | - | −0.077 | 0.060 | p = 0.493 | ||
| Δ DDD | 0.015 | 0.250 | 0.123 | p = 0.152 | Δ DDD | 0.116 | 0.006 | p = 0.931 | |||
LVMI, left ventricular mass index; UNaV, 24-h urinary sodium excretion; SBP, systolic blood pressure; DBP, diastolic blood pressure; DDD, Defined Daily Dose for antihypertensive treatment—All parameters are the differences (Δ) from study end to baseline. Statistics: Simple and multiple linear regression were performed by use of SPSS software version 20.0 for Windows (SPSS, Chicago, IL, USA). For multiple regression, data were included in the analysis through the standard method, as a whole block. R2 represents the coefficient of determination, B the unstandardized regression coefficient, and β the standardized regression coefficient.