Table 3.
Binary logistic regression analysis with DemTect (dichotomous) as the dependent variable and variables that were significant in the univariate tests as the independent variable (n = 552).
| Variable | Regression coefficient B | Standard error | Wald | df | Sig. | Exp(B) OR | 95% CI, lower | 95% CI, upper |
|---|---|---|---|---|---|---|---|---|
| Presence of hypertension | 0.972 | 0.488 | 3.962 | 1 | 0.047 | 2.643 | 1.015 | 6.881 |
| Male gender | 0.712 | 0.267 | 7.118 | 1 | 0.008 | 2.037 | 1.208 | 3.436 |
| <12 years of school attendance | 0.892 | 0.336 | 7.051 | 1 | 0.008 | 2.441 | 1.263 | 4.716 |
| Age (years) | 0.009 | 0.009 | 0.937 | 1 | 0.333 | 1.009 | 0.991 | 1.028 |
| eGFR (ml/min/1.73 m2) | −0.020 | 0.008 | 7.014 | 1 | 0.008 | 0.980 | 0.965 | 0.995 |
| Constant | −3.376 | 0.841 | 16.114 | 1 | 0.000 | 0.034 |
Goodness of fit for the final model was based on Hosmer-Lemeshow test which was not significant (χ2 = 3.273, df = 8, P = 0.916).