Table
2: Linear Regression Analysis - Bivariate regression analysis and
multivariate linear regression analysis (Model
II). dependent variable = ln FGF23
|
Variables |
correlations |
linear regression analysis |
||||
|
p |
Std. Regr. Coeff. |
95% Confidence Intervall |
p |
|||
|
Beta (B) |
low CI |
up CI |
||||
|
age |
0.048 |
0.05 |
-0.19 |
-0.39 |
0.01 |
ns |
|
BMI |
-0.09 |
n.s. |
||||
|
ln Hb |
-0.11 |
n.s. |
||||
|
ln CO |
0.42 |
<0.01 |
-0.24 |
-3.64 |
-0.68 |
0.004 |
|
ln mRAP |
0.29 |
<0.01 |
0.10 |
-0.36 |
1.49 |
ns |
|
ln hsCRP |
0.37 |
<0.01 |
0.21 |
0.067 |
0.39 |
0.006 |
|
ln PO4 |
0.18 |
<0.05 |
0.01 |
-0.98 |
0.96 |
ns |
|
ln PTH |
-0.26 |
<0.01 |
0.04 |
-0.33 |
0.49 |
ns |
|
ln Vit-D3 |
0.22 |
<0.01 |
-0.09 |
-0.51 |
0.16 |
ns |
|
ln gGT |
0.23 |
<0.01 |
0.07 |
-0.12 |
0.32 |
ns |
|
ln eGFR |
-0.38 |
<0.01 |
-0.52 |
-1.33 |
0.29 |
ns |
Ln- variables are subjected to logarithmic
transformation; BMI- body mass index; PCWP- pulmonary capillary wedge pressure;
CO- cardiac output; mRAP- mean right
atrial pressure; hsCRP- high sensitive C-reactive protein; PO4- phosphate; PTH-
parathyroid hormone; Vit-D3- 25 hydroxy vitamin D3; gGT - γ-glutamyl transferase; eGFR- estimated
glomerular filtration rate.