Table 5.
Multivariate analysis of predictors of further secondary outcomes using stepwise forward selection in binary logistic regression.
| Secondary Outcomes (Binary Logistic Regression) | Model 1 | Model 2 | |||
|---|---|---|---|---|---|
| Outcome | Significant Parameter | Odds Ratio | P | Odds Ratio | P |
| Delayed Graft Function (within 1 week after RTx) | Recipient BMI, kg/m² | 1.062 | 0.013 | 1.064 | 0.011 |
| Previous RTx | 0.477 | 0.015 | 0.452 | 0.008 | |
| CIT, hours | 1.056 | 0.022 | 1.065 | 0.010 | |
| Donor Sex (male) | 1.572 | 0.026 | — | — | |
| Dialysis Vintage | — | — | 1.006 | 0.028 | |
| Donor Last Creatinie | — | — | 1.686 | <0.001 | |
| Acute Rejections within 1 year after RTx | Recipient Sex (male) | 1.869 | 0.011 | 1.869 | 0.011 |
| Surgical Complications within 1 year after RTx | Recipient Age, years | 1.021 | 0.007 | 1.021 | 0.007 |
| Donor Sex (male) | 1.498 | 0.029 | 1.498 | 0.029 | |
| CIT, hours | 1.053 | 0.020 | 1.053 | 0.020 | |
Given are Odds Ratios and p-value of a likelihood-ratio test for selected variables. Non-selected (N/S) variables are not displayed.