Table 3.
Association of OPG with renal impairment from a mutually adjusted multiple logistic regression modela
| Dependent variable: Renal impairment (yes/no) | |||||
|---|---|---|---|---|---|
| Predictive variables | DF | β estimate | Standard Error | Wald Chi-square | p-value |
| Log OPG | 1 | −2.1005 | 0.8004 | 6.8873 | 0.0087 |
| BMI | 1 | 0.2151 | 0.0880 | 5.9682 | 0.0146 |
| SBP | 1 | −0.0178 | 0.0146 | 1.4779 | 0.2241 |
| Col LDL | 1 | 0.00910 | 0.00725 | 1.5737 | 0.2097 |
| PTH | 1 | −0.0634 | 0.0155 | 16.6892 | <0.0001 |
| Phosphate | 1 | −0.6598 | 0.4620 | 2.0396 | 0.1532 |
| CRP | 1 | 0.000250 | 0.0254 | 0.0001 | 0.9921 |
| Model R-square = 0.4306 | |||||
BMI is for body mass index, CRP is for C-reactive protein, Col LDL is for low density lipoprotein cholesterol, OPG is for osteoprotegerin, PTH is for parathormone, SBP is for systolic blood pressure
aAlso adjusted for age and sex.