Table 2.

Fine-Gray proportional subdistribution hazard model for time from evaluation to receiving any transplanta (n=997)b

VariablesModel 1Model 2Model 3
Subdistribution Hazard Ratio95% Confidence IntervalSubdistribution Hazard Ratio95% Confidence IntervalSubdistribution Hazard Ratio95% Confidence Interval
Model 1
 Race/ethnicity
  Non-Hispanic White1 (ref)1 (ref)1 (ref)
  Non-Hispanic Black0.600.46 to 0.780.670.51 to 0.900.740.55 to 0.99
Model 2
 Demographic characteristics
  Age (in yr)0.970.96 to 0.980.980.97 to 0.99
  Household income (<US$50,000)0.580.45 to 0.740.650.50 to 0.85
  Insurance status
   Private only1 (ref)1 (ref)
   Public only0.620.46 to 0.830.600.44 to 0.80
   Public and private0.750.57 to 0.990.670.52 to 0.88
 Medical factors
  Charlson Comorbidity Index0.820.76 to 0.890.850.78 to 0.91
  Type of dialysis
   None1 (ref)
   Hemodialysis0.720.56 to 0.91
   Peritoneal dialysis0.740.50 to 1.10
Model 3
 Final status after KASc2.381.77 to 3.19
 Cultural factors
  Overall religiosityd0.960.91 to1.00
 Psychosocial characteristics
  Social supportd1.041.01 to 1.06
 Transplant knowledge and education
  Transplant knowledged1.061.00 to 1.11
  No. learning activitiesd1.081.01 to 1.16
  • Higher value, greater amount (or higher score) on a particular variable. KAS, Kidney Allocation System; SHR, subdistribution hazard ratio.

  • a Main event, received a transplant; competing event, died, censoring, still on waitlist or other removal.

  • b Sample size used for Models 1, 2, and 3: n=997 (i.e., those with complete data on all variables; 346 received a transplant, 385 died, 266 censored).

  • c Final status after KAS refers to whether the patient’s ultimate outcome (i.e., transplant, died, censored) occurred either before or after the KAS policy changes of 2014 to all of the tables that include this variable.

  • d The SHR for these variables are per one-point higher in each scale.