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The PROCARE consortium

Authors :
Luuk B. Hilbrands
E.M. van Duijnhoven
Frans H.J. Claas
Azam S. Nurmohamed
Jan-Stephan F. Sanders
Michiel L. Bots
M. A. Seelen
Maarten H. L. Christiaans
Wendy Swelsen
I. J. M. ten Berge
F. J. van Ittersum
A. F. G. van der Meer
Marije C. Baas
N. C. van der Weerd
Caroline Roozendaal
Henderikus G. Otten
Annechien J. A. Lambeck
Joris Vanderlocht
Marcel G.J. Tilanus
Andries J. Hoitsma
D.L. Roelen
Michiel G. H. Betjes
F. J. Bemelman
Bouke G. Hepkema
J.W. de Fijter
Eric Spierings
N M Lardy
Wil A. Allebes
Irma Joosten
Marianne C. Verhaar
M. Gelens
Lotte Wieten
Laura Bungener
A D van Zuilen
Christien Voorter
F. van Reekum
K. A. M. I. van Donselaar-van der Pant
Cornelis E. Hack
Nephrology
AII - Amsterdam institute for Infection and Immunity
ICaR - Circulation and metabolism
Groningen Institute for Organ Transplantation (GIOT)
Groningen Kidney Center (GKC)
Interne Geneeskunde
RS: NUTRIM - R3 - Chronic inflammatory disease and wasting
RS: GROW - Oncology
RS: GROW - R3 - Innovative Cancer Diagnostics & Therapy
Oral and Maxillofacial Surgery
Plastic and Reconstructive Surgery and Hand Surgery
Erasmus MC other
Epidemiology
Internal Medicine
Source :
Transplant Immunology, 31, 4, pp. 184-90, Transplant immunology, 31(4), 184-190. Elsevier, Transplant Immunology, 31(4), 184-190. Elsevier, Transplant Immunology, 31(4), 184-190, Otten, H G, Joosten, I, Allebes, W A, van der Meer, A, Hilbrands, L B, Baas, M, Spierings, E, Hack, C E, van Reekum, F, van Zuilen, A D, Verhaar, M C, Bots, M L, Seelen, M A J, Sanders, J S F, Hepkema, B G, Lambeck, A J, Bungener, L B, Roozendaal, C, Tilanus, M G J, Vanderlocht, J, Voorter, C E, Wieten, L, van Duijnhoven, E, Gelens, M, Christiaans, M, van Ittersum, F J, Nurmohamed, S A, Lardy, N M, Swelsen, W T, van Donselaar-v Pant, K A, van der Weerd, N C, ten Berge, I J M, Bemelman, F J, Hoitsma, A J, de Fijter, J W, Betjes, M G H, Roelen, D L & Claas, F H J 2014, ' The PROCARE consortium: Toward an improved allocation strategy for kidney allografts ', Transplant Immunology, vol. 31, no. 4, pp. 184-190 . https://doi.org/10.1016/j.trim.2014.09.008, Transplant Immunology, 31, 184-90
Publication Year :
2014
Publisher :
Elsevier, 2014.

Abstract

Kidney transplantation is the best treatment option for patients with end-stage renal failure. At present, approximately 800 Dutch patients are registered on the active waiting list of Eurotransplant The waiting time in the Netherlands for a kidney from a deceased donor is on average between 3 and 4 years. During this period, patients are fully dependent on dialysis, which replaces only partly the renal function, whereas the quality of life is limited. Mortality among patients on the waiting list is high. In order to increase the number of kidney donors, several initiatives have been undertaken by the Dutch Kidney Foundation including national calls for donor registration and providing information on organ donation and kidney transplantation. The aim of the national PROCARE consortium is to develop improved matching algorithms that will lead to a prolonged survival of transplanted donor kidneys and a reduced HLA immunization. The latter will positively affect the waiting time for a retransplantation. The present algorithm for allocation is among others based on matching for HLA antigens, which were originally defined by antibodies using serological typing techniques. However, several studies suggest that this algorithm needs adaptation and that other immune parameters which are currently not included may assist in improving graft survival rates. We will employ a multicenter-based evaluation on 5429 patients transplanted between 1995 and 2005 in the Netherlands. The association between key clinical endpoints and selected laboratory defined parameters will be examined, including Luminex-defined HLA antibody specificities, T and B cell epitopes recognized on the mismatched HLA antigens, non-HLA antibodies, and also polymorphisms in complement and Fc receptors functionally associated with effector functions of anti-graft antibodies. From these data, key parameters determining the success of kidney transplantation will be identified which will lead to the identification of additional parameters to be included in future matching algorithms aiming to extend survival of transplanted kidneys and to diminish HLA immunization. Computer simulation studies will reveal the number of patients having a direct benefit from improved matching, the effect on shortening of the waiting list, and the decrease in waiting time. (C) 2014 Published by Elsevier B.V.

Details

Language :
English
ISSN :
09663274
Volume :
31
Issue :
4
Database :
OpenAIRE
Journal :
Transplant immunology
Accession number :
edsair.doi.dedup.....ccdd1d72dff39426ad6c22bdcb861598
Full Text :
https://doi.org/10.1016/j.trim.2014.09.008