Table 3.
Odds of DGF given that the recipient of the contralateral donor kidney had DGFa
| Variable (Reference Group) | OR | 95% CI | P |
|---|---|---|---|
| Recipient age (versus <18 yr) | |||
| 18 to 34 | 1.13 | 0.93 to 1.39 | 0.2200 |
| 35 to 49 | 1.18 | 0.97 to 1.43 | 0.1000 |
| 50 to 64 | 1.19 | 0.98 to 1.45 | 0.0700 |
| ≥65 | 1.20 | 0.98 to 1.48 | 0.0800 |
| Recipient race (versus white) | |||
| Asian | 0.92 | 0.82 to 1.05 | 0.2100 |
| black | 1.32 | 1.24 to 1.40 | <0.0001 |
| Native American | 1.08 | 0.86 to 1.35 | 0.5200 |
| other | 1.25 | 0.80 to 1.96 | 0.3200 |
| Recipient gender (male versus female) | 1.30 | 1.23 to 1.38 | <0.0010 |
| Primary native kidney disease (versus diabetes) | |||
| other | 0.68 | 0.63 to 0.74 | <0.0010 |
| hypertension | 0.76 | 0.70 to 0.82 | <0.0010 |
| glomerulonephritis | 0.73 | 0.68 to 0.79 | <0.0010 |
| Hepatitis C seropositive recipient (yes versus no) | 1.05 | 0.94 to 1.18 | 0.3900 |
| Medicare as primary payor (yes versus no) | 1.29 | 1.22 to 1.37 | <0.0010 |
| Peak PRA ≥10 (versus <10%) | 1.19 | 1.12 to 1.27 | <0.0010 |
| HLA mismatches (versus 0) | |||
| 1 to 3 | 1.14 | 1.04 to 1.26 | 0.0070 |
| 4 to 6 | 1.28 | 1.17 to 1.41 | <0.0001 |
| Time on dialysis before transplantation (versus none) | |||
| 0.0 to 0.9 yr | 2.56 | 2.05 to 3.19 | <0.0001 |
| 1.0 to 2.9 yr | 3.76 | 3.04 to 4.64 | <0.0001 |
| ≥3.0 yr | 5.23 | 4.23 to 6.48 | <0.0001 |
| Donor age (versus <18 yr) | |||
| 18 to 34 yr | 1.24 | 1.13 to 1.36 | <0.0001 |
| 35 to 49 yr | 1.66 | 1.51 to 1.83 | <0.0001 |
| 50 to 64 yr | 1.95 | 1.76 to 2.17 | <0.0001 |
| ≥65 yr | 2.16 | 1.81 to 2.59 | <0.0001 |
| Donor race (versus white) | |||
| Asian | 0.92 | 0.74 to 1.14 | 0.4400 |
| black | 0.92 | 0.83 to 1.01 | 0.0800 |
| Native American | 1.13 | 0.69 to 1.88 | 0.6200 |
| other | 1.07 | 0.92 to 1.25 | 0.3500 |
| Donor male (versus female) | 1.04 | 0.98 to 1.11 | 0.2100 |
| Terminal creatinine >1.5 mg/dl (versus <1.5 mg/dl) | 1.71 | 1.57 to 1.86 | <0.0001 |
| Donor hypertension (yes versus no) | 1.32 | 1.23 to 1.43 | <0.0010 |
| Donor cause of death CVA (yes versus no) | 1.20 | 1.08 to 1.33 | 0.0005 |
| Donor cause of death trauma (yes versus no) | 0.98 | 0.89 to 1.09 | 0.7400 |
| Preservation solution (versus University of Wisconsin solution) | |||
| other | 1.07 | 0.88 to 1.31 | 0.4900 |
| unknown | 0.89 | 0.82 to 0.95 | 0.0011 |
| Mechanical perfusion (versus none) | 0.56 | 0.51 to 0.62 | <0.0010 |
| Cold ischemia time (versus <12 h)b | |||
| 12 to 24 h | 1.59 | 1.47 to 1.71 | <0.0001 |
| >24 h | 2.34 | 2.14 to 2.55 | <0.0001 |
| >36 h | 4.03 | 3.45 to 4.70 | <0.0001 |
| Mean no. of transplants at center per year, 1995 to 2003 (versus ≤20 per year) | |||
| 20 to 60 | 1.03 | 0.92 to 1.16 | 0.6100 |
| >60 | 0.92 | 0.82 to 1.03 | 0.1700 |
Results of logistic regression with ORs for DGF in recipients of a donor pair, given that the outcome occurred in the recipient of the contralateral kidney, with both recipients undergoing transplantation at the same center or at different centers. This model was also adjusted for initial immunosuppression medication and induction therapy (data not shown). ECD defined as donor age >60 yr or as donor age >50 yr with any two of the following donor criteria: (1) Terminal serum creatinine >1.5 mg/dl, (2) hypertension, or (3) death from CVA. The model in this table, with ECD instead of the component variables, showed a strong association between ECD status and DGF (OR 1.51; 95% CI 1.39 to 1.63; P < 0.001).
Cold ischemia time was highly correlated with distance organ traveled from procurement hospital to transplant center; therefore, only cold ischemia time was included in this model.