Table 2.
Multivariable regression models for predicting recipient’s eGFR (linear) and odds of having eGFR > 60 ml/min/1.73 m2 (logistic) at one-year in the study cohort (the models only include the significant variables from univariate analysis and avoid the ones causing multicolinearity).
| LINEAR MODEL | Coefficient | Standard Error | P value | 95% CI | |
|---|---|---|---|---|---|
| Donor eGFR (ml/min/1.73 m2) | 0.1734 | 0.113 | 0.130 | −0.05–0.399 | |
| Weight adjusted donor renal volume (ml/kg) | 16.815 | 3.208 | <0.001 | 10.41–23.21 | |
| Delta split function (%) | −0.203 | 0.340 | 0.552 | −0.88–0.47 | |
| Biopsy score | −2.945 | 1.564 | 0.064 | −6.06–0.17 | |
| Constant | 16.759 | 12.064 | 0.169 | −7.29–40.81 |
| LOGISTIC MODEL | Odds Ratio | Standard Error | P value | 95% CI | |
|---|---|---|---|---|---|
| Donor eGFR (ml/min/1.73 m2) | 1.001 | 0.176 | 0.916 | 0.96–1.03 | |
| Weight adjusted donor renal volume (ml/kg) | 8.938 | 5.853 | 0.001 | 2.47–32.25 | |
| Delta split function | |||||
| 0–5% | 1 | ||||
| 5–10% | 0.775 | 0.489 | 0.687 | 0.22–2.67 | |
| >10% | 1.247 | 0.972 | 0.777 | 0.27–5.75 | |
| Biopsy score | 0.603 | 0.161 | 0.060 | 0.35–1.02 | |
| Constant | 0.019 | 0.038 | 0.050 | 0.00–0.99 | |
| Variance inflation factor (VIF) for the model* | 1.15 |
*
VIF<10 shows no significant multicollinearity.