Table 4.

Fine-Gray proportional subdistribution hazards model for time from evaluation to receiving a living-donor kidney transplanta (n=961)b

VariablesModel 1Model 2Model 3
Subdistribution Hazard Ratio95% Confidence IntervalSubdistribution Hazard Ratio95% Confidence IntervalSubdistribution Hazard Ratio95% Confidence Interval
Model 1
  Non-Hispanic White1 (ref)1 (ref)
  Non-Hispanic Black0.280.14 to 0.530.420.22 to 0.830.490.26 to 0.95
Model 2
 Other demographic characteristics
  Age (in yr)0.980.96 to 0.990.980.96 to 0.99
  Household income (<US$50,000)0.520.34 to 0.810.590.38 to 0.92
  Insurance status
   Private only1 (ref)1 (ref)
   Public only0.310.16 to 0.580.320.17 to 0.60
   Public and private0.470.29 to 0.760.460.28 to 0.75
 Medical factors
  BMI0.970.94 to 0.990.960.93 to 0.99
  Type of dialysis
   None1 (ref)1 (ref)
   Hemodialysis0.490.31 to 0.790.520.33 to 0.84
   Peritoneal dialysis0.430.21 to 0.880.430.21 to 0.86
  Have a potential living donor at T1 (yes)3.982.34 to 6.793.672.15 to 6.26
Model 3
 Cultural factors
  Religious objection to living-donor kidney transplant0.02
   No objection1 (ref)
   Mixed0.450.19 to 1.04
   Any objection0.620.42 to 0.92
  Transplant knowledge and education
   Transplant knowledgec1.121.02 to 1.23
  • Higher value, greater amount (or higher score) on a particular variable. BMI, body mass index; DDKT, deceased-donor kidney transplant; LDKT, living-donor kidney transplant; SHR, subdistribution hazard ratio.

  • a Main event, received LDKT; competing event, DDKT, died; censoring, still on waitlist or other removal; missing, unknown donor type.

  • b Sample size used for Models 1, 2, and 3: n=961 (i.e., those with complete data on all variables; 117 received a transplant, 585 died, 259 censored).

  • c The SHR for this variable is per one-point higher in the scale.