Literature DB >> 8456470

Computer analysis of cadaver kidney allocation procedures.

T Wujciak1, G Opelz.   

Abstract

Data of 32,000 donors were utilized for a computer simulation to analyze the effect of selection parameters on the outcome of kidney transplants. If the HLA match grade is considered for organ allocation, the overall 1-year graft survival rate is up to 7% higher for first cadaver transplants and up to 12% higher for second transplants than if HLA matching is disregarded. This solely success-oriented organ allocation method, however, leads to prolonged waiting times for patients with rare HLA phenotypes. We developed a selection procedure that yields results near the theoretical optimum: 95% of all patients can be transplanted with 0-2 HLA-A, -B, -DR antigen mismatches, the average waiting time decreases to 20 months, and no patient needs to wait longer for a transplant than 6 years. The overall graft survival rate is only 0.4% lower than the rate obtainable with strictly HLA-oriented allocation. The method prevents "poorly matchable" patients from accumulating on the waiting list. Additionally, the unfavorable race ratio in the North American recipient pool can be largely normalized.

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Year:  1993        PMID: 8456470

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


  5 in total

1.  Current status of HLA matching in renal transplantation. The Collaborative Transplant Study.

Authors:  G Opelz; J Mytilineos; T Wujciak; V Schwarz; D Back
Journal:  Clin Investig       Date:  1992-09

2.  Problems of priority change in kidney allocation and beyond.

Authors:  Marlies Ahlert; Hartmut Kliemt
Journal:  Eur J Health Econ       Date:  2012-02-23

3.  A comprehensive simulation for wait time reduction and capacity planning applied in general surgery.

Authors:  Peter T VanBerkel; John T Blake
Journal:  Health Care Manag Sci       Date:  2007-12

4.  A Systematic Review of Kidney Transplantation Decision Modelling Studies.

Authors:  Mohsen Yaghoubi; Sonya Cressman; Louisa Edwards; Steven Shechter; Mary M Doyle-Waters; Paul Keown; Ruth Sapir-Pichhadze; Stirling Bryan
Journal:  Appl Health Econ Health Policy       Date:  2022-08-09       Impact factor: 3.686

5.  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

  5 in total

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