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

EffectHR (95% CI), P Values
Model 1 (Event = Waitlisting)P ValueModel 2 (All Those Lost to Follow-Up Waitlisted)P ValueModel 3 (All Those Lost to Follow-Up Not Waitlisted)P Value
Shortest distance to transplant facility (mi)
    <20ReferenceReferenceReference
    20 to 390.92 (0.82 to 1.04)P = 0.18960.87 (0.84 to 0.91)P < 0.00010.93 (0.82 to 1.05)P = 0.2422
    40 to 690.97 (0.85 to 1.10)P = 0.60080.86 (0.83 to 0.90)P < 0.00010.98 (0.87 to 1.12)P = 0.8102
    70 to 990.93 (0.81 to 1.05)P = 0.23310.82 (0.78 to 0.86)P < 0.00010.94 (0.83 to 1.07)P = 0.3797
    100 to 1491.13 (0.99 to 1.30)P = 0.07930.88 (0.84 to 0.93)P < 0.00011.16 (1.00 to 1.33)P = 0.0405
     ≥1500.81 (0.65 to 1.01)P = 0.05670.85 (0.79 to 0.91)P < 0.00010.81 (0.65 to 1.01)P = 0.0598
Age
    20 to 39ReferenceReferenceReference
    40 to 490.68 (0.61 to 0.76)P < 0.00010.94 (0.89 to 0.99)P = 0.03390.68 (0.61 to 0.76)P < 0.0001
    50 to 590.49 (0.44 to 0.54)P < 0.00010.92 (0.87 to 0.97)P = 0.00160.49 (0.44 to 0.54)P < 0.0001
    60 to 690.23 (0.21 to 0.26)P < 0.00010.97 (0.92 to 1.02)P = 0.24740.23 (0.21 to 0.26)P < 0.0001
    ≥700.02 (0.01 to 0.03)P < 0.00011.12 (1.06 to 1.17)P < 0.00010.02 (0.01 to 0.03)P < 0.0001
Gender
    maleReferenceReferenceReference
    female0.88 (0.82 to 0.96)P = 0.00191.01 (0.98 to 1.04)P = 0.53760.89 (0.82 to 0.96)P = 0.0031
Diabetes
    noReferenceReferenceReference
    yes0.78 (0.72 to 0.85)P < 0.00011.02 (0.99 to 1.05)P = 0.13280.81 (0.74 to 0.88)P < 0.0001
Hypertension
    noReferenceReferenceReference
    yes1.17 (1.05 to 1.32)P = 0.00550.87 (0.84 to 0.91)P < 0.00011.15 (1.03 to 1.29)P = 0.0140
Body mass index (kg/m2a
    underweight (<18.5)0.77 (0.62 to 0.96)P = 0.02071.16 (1.09 to 1.23)P < 0.00010.78 (0.63 to 0.98)P = 0.0300
    normal (18.5 to 24.9)ReferenceReferenceP < 0.0001Reference
    overweight (25.0 to 29.9)1.29 (1.17 to 1.42)P < 0.00010.93 (0.90 to 0.96)P < 0.00011.27 (1.15 to 1.40)P < 0.0001
    obese (30.0 to 39.9)1.10 (0.99 to 1.21)P = 0.07290.85 (0.82 to 0.88)P < 0.00011.09 (0.98 to 1.20)P = 0.1065
    morbidly obese (>40.0)0.63 (0.51 to 0.78)P < 0.00010.77 (0.72 to 0.83)P < 0.00010.62 (0.50 to 0.77)P < 0.0001
Erythropoietin use1.28 (1.18 to 1.40)P < 0.00010.82 (0.80 to 0.85)P < 0.00011.26 (1.16 to 1.37)P < 0.0001
Albumin, mean (g/dl)1.06 (1.04 to 1.08)P < 0.00010.96 (0.93 to 0.98)P < 0.00011.40 (1.29 to 1.52)P < 0.0001
Degree of ruralitya
    urbanReferenceReferenceReference
    large rural1.04 (0.93 to 1.15)P = 0.48060.96 (0.92 to 0.99)P = 0.01931.04 (0.93 to 1.15)P = 0.5408
    small rural1.01 (0.88 to 1.18)P = 0.84881.06 (1.01 to 1.11)P = 0.01941.01 (0.87 to 1.17)P = 0.9321
    small remote rural1.10 (0.93 to 1.32)P = 0.24461.01 (0.95 to 1.07)P = 0.77311.10 (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.