Table 3.
Multivariable analysis of predictors of living-donor transplant
| Univariable | Multivariable | |||
|---|---|---|---|---|
| Odds Ratio (95% CI) | p-Value | Odds Ratio (95% CI) | p-Value | |
| IMD (per Quintile) | 1.30 (1.22–1.39) | < 0.001 | 1.23 (1.13–1.34) | < 0.001 |
| Age (per Decade) | 0.84 (0.79–0.90) | < 0.001 | 0.95 (0.87–1.04) | 0.288 |
| Gender (Male) | 1.10 (0.92–1.33) | 0.298 | 1.11 (0.88–1.40) | 0.372 |
| Ethnicity | < 0.001 | 0.005 | ||
| White | – | – | – | – |
| South Asian | 0.37 (0.28–0.47) | < 0.001 | 0.65 (0.48–0.89) | 0.007 |
| Black | 0.28 (0.18–0.45) | < 0.001 | 0.54 (0.32–0.90) | 0.018 |
| Other | 0.89 (0.61–1.28) | 0.522 | 1.17 (0.75–1.82) | 0.487 |
| Body Mass Index (per 5 km/m2) | 0.90 (0.81–1.00) | 0.044 | 0.98 (0.87–1.11) | 0.751 |
| Diabetes (Yes) | 0.62 (0.46–0.85) | 0.002 | 0.67 (0.45–0.98) | 0.041 |
| Hypertension (Yes) | 1.16 (0.96–1.41) | 0.124 | 1.19 (0.94–1.51) | 0.146 |
| Previous Transplants (Yes) | 0.89 (0.59–1.34) | 0.571 | 1.39 (0.85–2.28) | 0.193 |
| On Dialysis (Yes) | 0.36 (0.30–0.44) | < 0.001 | 0.61 (0.48–0.78) | < 0.001 |
| Time on Waiting List* | < 0.001 | < 0.001 | ||
| < 12 Months | – | – | – | – |
| 12–23 Months | 0.66 (0.50–0.87) | 0.003 | 0.67 (0.49–0.92) | 0.013 |
| 24–35 Months | 0.30 (0.22–0.41) | < 0.001 | 0.33 (0.24–0.47) | < 0.001 |
| 36–59 Months | 0.13 (0.09–0.17) | < 0.001 | 0.13 (0.09–0.19) | < 0.001 |
| 60+ Months | 0.12 (0.08–0.16) | < 0.001 | 0.14 (0.09–0.20) | < 0.001 |
| Year of Transplant (per Decade) | 0.40 (0.32–0.52) | < 0.001 | 0.35 (0.26–0.49) | < 0.001 |
Results of the univariable analysis are from individual binary logistic regression models for each factor. All factors were then entered into a multivariable binary logistic regression model; this analysis was based on N = 1724 cases (N = 644 events), after exclusion of those with missing data for any of the factors considered. Odds ratios are reported for the stated category relative to the reference category for categorical variables, or per an increase of the stated number of units for ordinal/continuous factors. Bold p-values are significant at p < 0.05. *Goodness of fit testing indicated poor model fit when the time on the waiting list was treated as continuous (Hosmer-Lemeshow test: p < 0.001), hence it was divided into categories and treated as nominal for analysis