Table 3.
Cox models for time to waitlisting (model 1) and sensitivity analysis for best- (model 2) and worst- (model 3) case scenarios in waitlisting
| Effect | HR (95% CI), P Values
|
|||||
|---|---|---|---|---|---|---|
| Model 1 (Event = Waitlisting) | P Value | Model 2 (All Those Lost to Follow-Up Waitlisted) | P Value | Model 3 (All Those Lost to Follow-Up Not Waitlisted) | P Value | |
| Shortest distance to transplant facility (mi) | ||||||
| <20 | Reference | Reference | Reference | |||
| 20 to 39 | 0.92 (0.82 to 1.04) | P = 0.1896 | 0.87 (0.84 to 0.91) | P < 0.0001 | 0.93 (0.82 to 1.05) | P = 0.2422 |
| 40 to 69 | 0.97 (0.85 to 1.10) | P = 0.6008 | 0.86 (0.83 to 0.90) | P < 0.0001 | 0.98 (0.87 to 1.12) | P = 0.8102 |
| 70 to 99 | 0.93 (0.81 to 1.05) | P = 0.2331 | 0.82 (0.78 to 0.86) | P < 0.0001 | 0.94 (0.83 to 1.07) | P = 0.3797 |
| 100 to 149 | 1.13 (0.99 to 1.30) | P = 0.0793 | 0.88 (0.84 to 0.93) | P < 0.0001 | 1.16 (1.00 to 1.33) | P = 0.0405 |
| ≥150 | 0.81 (0.65 to 1.01) | P = 0.0567 | 0.85 (0.79 to 0.91) | P < 0.0001 | 0.81 (0.65 to 1.01) | P = 0.0598 |
| Age | ||||||
| 20 to 39 | Reference | Reference | Reference | |||
| 40 to 49 | 0.68 (0.61 to 0.76) | P < 0.0001 | 0.94 (0.89 to 0.99) | P = 0.0339 | 0.68 (0.61 to 0.76) | P < 0.0001 |
| 50 to 59 | 0.49 (0.44 to 0.54) | P < 0.0001 | 0.92 (0.87 to 0.97) | P = 0.0016 | 0.49 (0.44 to 0.54) | P < 0.0001 |
| 60 to 69 | 0.23 (0.21 to 0.26) | P < 0.0001 | 0.97 (0.92 to 1.02) | P = 0.2474 | 0.23 (0.21 to 0.26) | P < 0.0001 |
| ≥70 | 0.02 (0.01 to 0.03) | P < 0.0001 | 1.12 (1.06 to 1.17) | P < 0.0001 | 0.02 (0.01 to 0.03) | P < 0.0001 |
| Gender | ||||||
| male | Reference | Reference | Reference | |||
| female | 0.88 (0.82 to 0.96) | P = 0.0019 | 1.01 (0.98 to 1.04) | P = 0.5376 | 0.89 (0.82 to 0.96) | P = 0.0031 |
| Diabetes | ||||||
| no | Reference | Reference | Reference | |||
| yes | 0.78 (0.72 to 0.85) | P < 0.0001 | 1.02 (0.99 to 1.05) | P = 0.1328 | 0.81 (0.74 to 0.88) | P < 0.0001 |
| Hypertension | ||||||
| no | Reference | Reference | Reference | |||
| yes | 1.17 (1.05 to 1.32) | P = 0.0055 | 0.87 (0.84 to 0.91) | P < 0.0001 | 1.15 (1.03 to 1.29) | P = 0.0140 |
| Body mass index (kg/m2a | ||||||
| underweight (<18.5) | 0.77 (0.62 to 0.96) | P = 0.0207 | 1.16 (1.09 to 1.23) | P < 0.0001 | 0.78 (0.63 to 0.98) | P = 0.0300 |
| normal (18.5 to 24.9) | Reference | Reference | P < 0.0001 | Reference | ||
| overweight (25.0 to 29.9) | 1.29 (1.17 to 1.42) | P < 0.0001 | 0.93 (0.90 to 0.96) | P < 0.0001 | 1.27 (1.15 to 1.40) | P < 0.0001 |
| obese (30.0 to 39.9) | 1.10 (0.99 to 1.21) | P = 0.0729 | 0.85 (0.82 to 0.88) | P < 0.0001 | 1.09 (0.98 to 1.20) | P = 0.1065 |
| morbidly obese (>40.0) | 0.63 (0.51 to 0.78) | P < 0.0001 | 0.77 (0.72 to 0.83) | P < 0.0001 | 0.62 (0.50 to 0.77) | P < 0.0001 |
| Erythropoietin use | 1.28 (1.18 to 1.40) | P < 0.0001 | 0.82 (0.80 to 0.85) | P < 0.0001 | 1.26 (1.16 to 1.37) | P < 0.0001 |
| Albumin, mean (g/dl) | 1.06 (1.04 to 1.08) | P < 0.0001 | 0.96 (0.93 to 0.98) | P < 0.0001 | 1.40 (1.29 to 1.52) | P < 0.0001 |
| Degree of ruralitya | ||||||
| urban | Reference | Reference | Reference | |||
| large rural | 1.04 (0.93 to 1.15) | P = 0.4806 | 0.96 (0.92 to 0.99) | P = 0.0193 | 1.04 (0.93 to 1.15) | P = 0.5408 |
| small rural | 1.01 (0.88 to 1.18) | P = 0.8488 | 1.06 (1.01 to 1.11) | P = 0.0194 | 1.01 (0.87 to 1.17) | P = 0.9321 |
| small remote rural | 1.10 (0.93 to 1.32) | P = 0.2446 | 1.01 (0.95 to 1.07) | P = 0.7731 | 1.10 (0.92 to 1.31) | P = 0.3010 |
a
This model does not include race or neighborhood poverty because of interaction between these two variables.