Socioeconomic disadvantage has been linked to reduced access to kidney transplantation. To understand and address potential barriers to transplantation, we used the Australia and New Zealand Dialysis and Transplant Registry and examined primary kidney-only transplantation among adult non-Indigenous patients who commenced chronic renal replacement therapy in Australia during 2000-2010. Socioeconomic status was derived from residential postcodes using standard indices. Among the 21,190 patients who commenced renal replacement therapy, 4105 received a kidney transplant (2058 from living donors (660 preemptive) or 2047 from deceased donors) by the end of 2010. Compared with the most socioeconomic disadvantaged quartile, patients from the most advantaged quartile were more likely to receive a preemptive transplant (relative rate 1.93), and more likely to receive a living-donor kidney (adjusted subhazard ratio 1.34) after commencing dialysis. Socioeconomic status was not associated with deceased-donor transplantation. Thus, the association between socioeconomic status and living- but not deceased-donor transplantation suggests that potential donors (rather than recipients) from disadvantaged areas may face barriers to donation. Although the deceased-donor organ allocation process appears essentially equitable, it differs between Australian states.

The US kidney allocation system adopted in 2013 will allocate the best 20% of deceased donor kidneys (based on the kidney donor risk index [KDRI]) to the 20% of waitlisted patients with the highest estimated posttransplant survival (EPTS). The EPTS has not been externally validated, raising concerns as to its suitability to discriminate between kidney transplant candidates. We examined EPTS using data from the Australia and New Zealand Dialysis and Transplant (ANZDATA) Registry. We included 4983 adult kidneyonly deceased donor transplants over 2000-2011. We constructed three Cox models for patient survival: (i) EPTS alone; (ii) EPTS plus donor age, hypertension and HLA-DR mismatch; and (iii) EPTS plus log(KDRI). All models demonstrated moderately good discrimination, with Harrell's C statistics of 0.67, 0.68 and 0.69, respectively. These results are virtually identical to the internal validation that demonstrated a c-statistic of 0.69. These results provide external validation of the EPTS as a moderately good tool for discriminating posttransplant survival of adult kidney-only transplant recipients.