Kidney Transplantation After Rescue Allocation—the Eurotransplant Experience: A Retrospective Multicenter Outcome Analysis

Background. At Eurotransplant (ET), kidneys are transferred to “rescue allocation” (RA), whenever the standard allocation (SA) algorithms Eurotransplant Kidney Allocation System (ETKAS) and Eurotransplant Senior Program (ESP) fail. We analyzed the outcome of RA. Methods. Retrospective patient clinical and demographic characteristics association analyses were performed with graft outcomes for 2422 recipients of a deceased donor renal transplantation (DDRT) after RA versus 25 481 after SA from 71 centers across all ET countries from 2006 to 2018. Results. Numbers of DDRTs after RA increased over the time, especially in Germany. RA played a minor role in ESP versus ETKAS (2.7% versus 10.4%). RA recipients and donors were older compared with SA recipients and donors, cold ischemia times were longer, waiting times were shorter, and the incidence of primary nonfunction was comparable. Among ETKAS recipients, HLA matching was more favorable in SA (mean 3.7 versus 2.5). In multivariate modeling, the incidence of graft loss in ETKAS recipients was reduced in RA compared with SA (subdistribution hazard ratio, 0.80; 95% confidence interval [0.70-0.91], P < 0.001), whereas other outcomes (mortality, death with functioning graft (DwFG)) were not significantly different. None of the 3 outcomes were significantly different when comparing RA with SA within the ESP program. Conclusions. Facing increased waiting times and mortality on dialysis due to donor shortage, this study reveals encouragingly positive DDRT outcomes following RA. This supports the extension of RA to more patients and as an alternative tool to enable transplantation in patients in countries with prohibitively long waiting times or at risk of deterioration.

[1]  K. Amann,et al.  Kidney transplantation after rescue allocation-meticulous selection yields the chance for excellent outcome. , 2020, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[2]  B. Suwelack,et al.  Comparison of kidney allograft survival in the Eurotransplant senior program after changing the allocation criteria in 2010—A single center experience , 2020, PloS one.

[3]  K. Lopau,et al.  Repeated kidney re‐transplantation—the Eurotransplant experience: a retrospective multicenter outcome analysis , 2020, Transplant international : official journal of the European Society for Organ Transplantation.

[4]  D. Segev,et al.  Frailty and Access to Kidney Transplantation. , 2019, Clinical journal of the American Society of Nephrology : CJASN.

[5]  Jonathan A C Sterne,et al.  Accounting for missing data in statistical analyses: multiple imputation is not always the answer , 2019, International journal of epidemiology.

[6]  R. Abdi,et al.  Association of Cold Ischemia Time With Acute Renal Transplant Rejection , 2018, Transplantation.

[7]  Y. H. Kim,et al.  Kidney Transplantation Using Expanded-Criteria Deceased Donors: A Comparison With Ideal Deceased Donors and Non-Expanded-Criteria Deceased Donors. , 2018, Transplantation proceedings.

[8]  L. Rostaing,et al.  Propensity score–based comparison of the graft failure risk between kidney transplant recipients of standard and expanded criteria donor grafts: Toward increasing the pool of marginal donors , 2018, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

[9]  G. Nadkarni,et al.  Analysis of OPTN/UNOS registry suggests the number of HLA matches and not mismatches is a stronger independent predictor of kidney transplant survival. , 2017, Kidney International.

[10]  Thomas A. Gerds,et al.  riskRegression: Predicting the Risk of an Event using Cox Regression Models , 2017, R J..

[11]  M. Hellmich,et al.  Rescue allocation and recipient oriented extended allocation in kidney transplantation—influence of the EUROTRANSPLANT allocation system on recipient selection and graft survival for initially nonaccepted organs , 2017, Transplant International.

[12]  Georg Heinze,et al.  Five myths about variable selection , 2017, Transplant international : official journal of the European Society for Organ Transplantation.

[13]  F. Lehner,et al.  High-urgency kidney transplantation in the Eurotransplant Kidney Allocation System: success or waste of organs? The Eurotransplant 15-year all-centre survey. , 2016, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[14]  R. Pelletier,et al.  High mortality in diabetic recipients of high KDPI deceased donor kidneys , 2016, Clinical transplantation.

[15]  A. Dreher Modeling Survival Data Extending The Cox Model , 2016 .

[16]  L. Rostaing,et al.  Each additional hour of cold ischemia time significantly increases the risk of graft failure and mortality following renal transplantation. , 2015, Kidney international.

[17]  R. Varadhan,et al.  Frailty and Mortality in Kidney Transplant Recipients , 2015, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

[18]  D. Segev,et al.  Frailty and Early Hospital Readmission After Kidney Transplantation , 2013, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

[19]  D. Segev,et al.  Frailty as a Novel Predictor of Mortality and Hospitalization in Individuals of All Ages Undergoing Hemodialysis , 2013, Journal of the American Geriatrics Society.

[20]  G. Opelz,et al.  Association of HLA Mismatch With Death With a Functioning Graft After Kidney Transplantation: A Collaborative Transplant Study Report , 2012, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

[21]  C. Pramesh,et al.  Censoring in survival analysis: Potential for bias , 2012, Perspectives in clinical research.

[22]  D. Stippel,et al.  Results of kidney transplantation after rescue allocation , 2011, Transplant international : official journal of the European Society for Organ Transplantation.

[23]  Mei-Jie Zhang,et al.  Analyzing Competing Risk Data Using the R timereg Package. , 2011, Journal of statistical software.

[24]  Mei-Jie Zhang,et al.  A semiparametric random effects model for multivariate competing risks data. , 2010, Biometrika.

[25]  A. Rahmel,et al.  Kidney Donation and Transplantation in Eurotransplant 2006–2007: Minimizing Discard Rates by Using a Rescue Allocation Policy , 2009, Progress in transplantation.

[26]  A. Lewington,et al.  Outcomes of kidney grafts refused by one or more centers and subsequently transplanted at a single United Kingdom center. , 2009, Transplantation proceedings.

[27]  Mei-Jie Zhang,et al.  Flexible competing risks regression modeling and goodness-of-fit , 2008, Lifetime data analysis.

[28]  R. Wolfe,et al.  Deceased-donor characteristics and the survival benefit of kidney transplantation. , 2005, JAMA.

[29]  R. Merion Expanded criteria donors for kidney transplantation. , 2005, Transplantation proceedings.

[30]  H. Meier‐Kriesche,et al.  Waiting time on dialysis as the strongest modifiable risk factor for renal transplant outcomes: A Paired Donor Kidney Analysis1 , 2002, Transplantation.

[31]  A. Jardine,et al.  Influence of diabetes mellitus on patient and graft survival in recipients of kidney transplantation , 2001, Clinical transplantation.

[32]  Eld,et al.  COMPARISON OF MORTALITY IN ALL PATIENTS ON DIALYSIS , PATIENTS ON DIALYSIS AWAITING TRANSPLANTATION , AND RECIPIENTS OF A FIRST CADAVERIC TRANSPLANT , 2000 .

[33]  P. Grambsch,et al.  A Package for Survival Analysis in S , 1994 .