Research Article
Significant Independent Predictors of Vitamin D Deficiency in Inpatients and Outpatients of a Nephrology Unit
Table 4
Logistic regression models for probability of vitamin D deficiency.
| Variable | β | S.E. | | Odds ratio (95.0% C.I) |
| Gender (1) | 0.907 | 0.277 | 0.001 | 0.404 (0.2–0.6) | Age | −0.007 | 0.009 | 0.404 | 0.993 (0.9–1.0) | Albumin | 0.892 | 0.253 | <0.001 | 2.5 (1.5–4.0) | Diabetes (1) | 0.319 | 0.352 | 0.365 | 1.376 (0.7–2.7) | Supplemented with vitamin D (1) | 1.188 | 0.329 | <0.001 | 0.305 (1.6–0.6) | eGFR | 0.005 | 0.005 | 0.309 | 1.005 (0.9–1.0) | Hospitalization | −0.231 | 0.322 | 0.475 | 1.259 (0.6–2.3) | Put on hemodialysis | 0.198 | 0.409 | 0.628 | 1.219 (0.5–2.7) | Constant | −4.488 | 1.137 | <0.001 | 0.011 |
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= 280. Forward stepwise (likelihood ratio) method; entry criteria = < 0.05. β: standard regression coefficient; 25(OH)D, 25-hydroxyvitamin D.
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