Literature DB >> 15084947

It takes six to boogie: allocating cadaver kidneys in Eurotransplant.

Ilias I N Doxiadis1, Jacqueline M A Smits, Guido G Persijn, Ulrich Frei, Frans H J Claas.   

Abstract

In March 1996, a new allocation point system for cadaver kidneys, the Eurotransplant (ET) Kidney Allocation System (KAS), was introduced in ET, the first multinational organ exchange organization. The aims of ETKAS were to reduce average and maximum waiting time, to allow patients with rare human leukocyte antigen (HLA) phenotypes or combinations to receive an "optimal" offer, to keep the exchange rates between the participating countries balanced, and finally to keep optimal graft survival, by means of HLA matching. Elderly patients and highly sensitized patients profit in addition from special programs, the ET Senior Program and the Acceptable Mismatch Program, respectively. All kidneys are offered to the pool and are allocated according to the degree of HLA matching, mismatch probability, waiting time, distance from the donor center, and balance between the countries participating in ET. A summary of 6 years' experience with the ETKAS is presented in this article.

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Year:  2004        PMID: 15084947     DOI: 10.1097/01.tp.0000103725.72023.d7

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  8 in total

Review 1.  Kidney transplantation in highly sensitized patients: are there options to overcome a positive crossmatch?

Authors:  Christian Morath; Jan Schmidt; Gerhard Opelz; Martin Zeier; Caner Süsal
Journal:  Langenbecks Arch Surg       Date:  2011-03-18       Impact factor: 3.445

2.  Role and Value of Luminex(®)-Detected HLA Antibodies before and after Kidney Transplantation.

Authors:  Caner Süsal; Gerhard Opelz; Christian Morath
Journal:  Transfus Med Hemother       Date:  2013-05-06       Impact factor: 3.747

3.  Genomic plasticity of the MHC class I A region in rhesus macaques: extensive haplotype diversity at the population level as revealed by microsatellites.

Authors:  Gaby G M Doxiadis; Nanine de Groot; Nel Otting; Jeroen H Blokhuis; Ronald E Bontrop
Journal:  Immunogenetics       Date:  2010-10-15       Impact factor: 2.846

4.  Compatibility and kidney transplantation: the way to go.

Authors:  Ilias I N Doxiadis
Journal:  Front Immunol       Date:  2012-05-14       Impact factor: 7.561

5.  Allocation to highly sensitized patients based on acceptable mismatches results in low rejection rates comparable to nonsensitized patients.

Authors:  Sebastiaan Heidt; Geert W Haasnoot; Marian D Witvliet; Marissa J H van der Linden-van Oevelen; Elena G Kamburova; Bram W Wisse; Irma Joosten; Wil A Allebes; Arnold van der Meer; Luuk B Hilbrands; Marije C Baas; Eric Spierings; Cornelis E Hack; Franka E van Reekum; Arjan D van Zuilen; Marianne C Verhaar; Michiel L Bots; Adriaan C A D Drop; Loes Plaisier; Marc A J Seelen; Jan-Stephan Sanders; Bouke G Hepkema; Annechien J A Lambeck; Laura B Bungener; Caroline Roozendaal; Marcel G J Tilanus; Christina E Voorter; Lotte Wieten; Elly M van Duijnhoven; Marielle A C J Gelens; Maarten H L Christiaans; Frans J van Ittersum; Shaikh A Nurmohamed; Neubury M Lardy; Wendy Swelsen; Karlijn A M I van der Pant; Neelke C van der Weerd; Ineke J M Ten Berge; Frederike J Bemelman; Andries Hoitsma; Paul J M van der Boog; Johan W de Fijter; Michiel G H Betjes; Henny G Otten; Dave L Roelen; Frans H J Claas
Journal:  Am J Transplant       Date:  2019-07-01       Impact factor: 8.086

6.  Computational Eurotransplant kidney allocation simulations demonstrate the feasibility and benefit of T-cell epitope matching.

Authors:  Matthias Niemann; Nils Lachmann; Kirsten Geneugelijk; Eric Spierings
Journal:  PLoS Comput Biol       Date:  2021-07-27       Impact factor: 4.475

7.  Pediatric renal transplantation in a highly sensitised child-8 years on.

Authors:  Catherine Quinlan; Atif Awan; Denis Gill; Mary Waldron; Dilly Little; David Hickey; Peter Conlon; Mary Keogan
Journal:  Case Rep Transplant       Date:  2012-01-26

Review 8.  PIRCHE-II: an algorithm to predict indirectly recognizable HLA epitopes in solid organ transplantation.

Authors:  Kirsten Geneugelijk; Eric Spierings
Journal:  Immunogenetics       Date:  2019-11-18       Impact factor: 2.846

  8 in total

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