Literature DB >> 27919635

A critical assessment on kidney allocation systems.

Richard N Formica1.   

Abstract

The kidney allocation system that took effect on December 4, 2014 represents a significant improvement over the prior approach. It seeks to improve outcomes by longevity matching - pairing kidneys expected to function the longest with recipients expected to live the longest. It addresses the biological barriers faced by highly sensitized patients in an evidence based fashion and it begins to introduce the concept of medical need into kidney allocation by crediting time from the starting dialysis to a patient's waiting time. Additionally, it adds a more granular and continuous approach to classifying deceased donor kidneys through the kidney donor profile index and moves away from the dichotomous and flawed, standard criteria/extended criteria approach to allocating kidneys. Despite these changes, access to kidney transplantation across the age spectrum has remained intact and equitable. However even with these numerous positive improvements the system is not without its flaws. The increased sharing and by extension shipping of kidneys have created logistical challenges for organ procurement organizations and transplant centers. Early results seem to indicate that there have been an increase in cold ischemic time, an increase in delayed graft function and an increase in organ discard rate. There is also a reduced offer rate for children and while not a statistically significant decline in the number of transplants, it is a trend that requires close monitoring. Finally, the new kidney allocation system has done nothing to address the glaring deficiencies in the multi-organ allocation practices, all of which include a kidney, in the United States. Therefore despite the improvements made in kidney allocation, there is work yet to be done to ensure that the allocation of life saving and life prolonging organs for transplantation is done in a fashion consistent with ethical principles, based on science and free from local self interest so that this national resource is used for the betterment of the population it is meant to serve.
Copyright © 2016. Published by Elsevier Inc.

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Year:  2016        PMID: 27919635     DOI: 10.1016/j.trre.2016.10.002

Source DB:  PubMed          Journal:  Transplant Rev (Orlando)        ISSN: 0955-470X            Impact factor:   3.943


  7 in total

1.  Compelling Evidence of the Need for Policy Change to Decrease Deceased Donor Kidney Discard in the United States: Waste Not Want Less.

Authors:  Matthew Kadatz; John S Gill
Journal:  Clin J Am Soc Nephrol       Date:  2017-12-07       Impact factor: 8.237

2.  Impact of the kidney allocation system on young pediatric recipients.

Authors:  William Fiske Parker; Lainie Friedman Ross; J Richard Thistlethwaite; Amy E Gallo
Journal:  Clin Transplant       Date:  2018-03-14       Impact factor: 2.863

3.  Prospective Validation of Prediction Model for Kidney Discard.

Authors:  Sheng Zhou; Allan B Massie; Courtenay M Holscher; Madeleine M Waldram; Tanveen Ishaque; Alvin G Thomas; Dorry L Segev
Journal:  Transplantation       Date:  2019-04       Impact factor: 4.939

4.  Use of expanded-criteria donors and > 85 KDPI kidneys for pediatric kidney transplantation in the United States.

Authors:  Sarah J Kizilbash; Michael D Evans; Srinath Chinnakotla; Blanche M Chavers
Journal:  Am J Transplant       Date:  2020-07-24       Impact factor: 8.086

5.  Burden of excess mortality after implementation of the new kidney allocation system may be borne disproportionately by middle-aged recipients.

Authors:  Catherine R Butler; James D Perkins; Christopher K Johnson; Christopher D Blosser; Ramasamy Bakthavatsalam; Nicolae Leca; Lena Sibulesky
Journal:  PLoS One       Date:  2019-01-24       Impact factor: 3.240

6.  Deceased donor kidney allocation: an economic evaluation of contemporary longevity matching practices.

Authors:  Sameera Senanayake; Nicholas Graves; Helen Healy; Keshwar Baboolal; Adrian Barnett; Matthew P Sypek; Sanjeewa Kularatna
Journal:  BMC Health Serv Res       Date:  2020-10-09       Impact factor: 2.655

7.  Impact of Change in Allocation Score Methodology on Post Kidney Transplant Average Length of Stay.

Authors:  Hanadi Y Hamadi; Hani M Wadei; Jing Xu; Dayana Martinez; Aaron Spaulding; Shehzad K Niazi; Tambi Jarmi
Journal:  J Clin Med Res       Date:  2022-03-25
  7 in total

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