Dual Kidney Allocation Score: A Novel Algorithm Utilizing Expanded Donor Criteria for the Allocation of Dual Kidneys in Adults.
BACKGROUND Dual kidney transplantation (DKT) of expanded-criteria donors is a cost-intensive procedure that aims to increase the pool of available deceased organ donors and has demonstrated equivalent outcomes to expanded-criteria single kidney transplantation (eSKT). The objective of this study was to develop an allocation score based on predicted graft survival from historical dual and single kidney donors. MATERIAL AND METHODS We analyzed United Network for Organ Sharing (UNOS) data for 1547 DKT and 26 381 eSKT performed between January 1994 and September 2013. We utilized multivariable Cox regression to identify variables independently associated with graft survival in dual and single kidney transplantations. We then derived a weighted multivariable product score from calculated hazard ratios to model the benefit of transplantation as dual kidneys. RESULTS Of 36 donor variables known at the time of listing, 13 were significantly associated with graft survival. The derived dual allocation score demonstrated good internal validity with strong correlation to improved survival in dual kidney transplants. Donors with scores less than 2.1 transplanted as dual kidneys had a worsened median survival of 594 days (24%, p-value 0.031) and donors with scores greater than 3.9 had improved median survival of 1107 days (71%, p-value 0.002). There were 17 733 eSKT (67%) and 1051 DKT (67%) with scores in between these values and no differences in survival (p-values 0.676 and 0.185). CONCLUSIONS We have derived a dual kidney allocation score (DKAS) with good internal validity. Future prospective studies will be required to demonstrate external validity, but this score may help to standardize organ allocation for dual kidney transplantation.
Department of Transplant Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
Adam P
AP
Johnson
Department of Transplant Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
Thea P
TP
Price
Department of Biostatistics, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
Benjamin
B
Lieby
Department of Transplant Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
Cataldo
C
Doria
D000328:Adult; D000465:Algorithms; D016208:Databases, Factual; D046148:Donor Selection / Q000706:statistics & numerical data*; D005260:Female; D006085:Graft Survival; D006801:Humans; D053208:Kaplan-Meier Estimate; D016030:Kidney Transplantation / Q000379:methods* / Q000706:statistics & numerical data; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies; D012307:Risk Factors; D009927:Tissue and Organ Procurement / Q000706:statistics & numerical data*