Literature DB >> 25282158

Is the Kidney Donor Risk Index a step forward in the assessment of deceased donor kidney quality?

Alison P K Lee1, Daniel Abramowicz1.   

Abstract

The allocation of deceased donor kidneys has become more complex because of the increasing spectrum of donors and recipients age and comorbidities. Several scoring systems have been proposed to evaluate the donor quality of deceased donor kidneys, based on clinical, pathological or combined parameters to predict the risk of renal allograft failure. Nonetheless, besides the dichotomous extended criteria donor (ECD) score, none of the others have been used in clinical practice because of numerous reasons, ranging from lack of robust validation to the technical challenges associated with the evaluation of donor biopsies. Recently, the Kidney Donor Risk Index (KDRI) and Profile Index (KDPI) were introduced in the USA as a refined version of the ECD score. This scoring system is based on 10 donor factors, therefore providing a finely granulated evaluation of donor quality without the need of a kidney biopsy.Here, we review the advantages and drawbacks of the main scoring systems, and we describe the components of the KDRI and KDPI. It is an easily accessible online tool, based solely on donor factors readily available at the moment of the donor offer. Importantly, the KDPI has also been made part of the 'longevity matching' allocation in the USA, where the best kidneys are allocated to the recipients with the longest predicted post-transplant survival. The KDRI should provide us with a robust qualitative evaluation of deceased donor quality, and therefore will probably play a role in deceased donor kidney allocation policies across Europe in the near future. Hopefully, the KDRI and the KDPI should help transplant programmes to better allocate the scarce resource of deceased donor kidneys.
© The Author 2014. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.

Entities:  

Keywords:  Kidney Donor Risk Index (KDRI); deceased donors; donor biopsy; marginal donors; scoring system

Mesh:

Year:  2014        PMID: 25282158     DOI: 10.1093/ndt/gfu304

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  24 in total

Review 1.  New Solutions to Reduce Discard of Kidneys Donated for Transplantation.

Authors:  Peter P Reese; Meera N Harhay; Peter L Abt; Matthew H Levine; Scott D Halpern
Journal:  J Am Soc Nephrol       Date:  2015-09-14       Impact factor: 10.121

2.  Factors leading to the discard of deceased donor kidneys in the United States.

Authors:  Sumit Mohan; Mariana C Chiles; Rachel E Patzer; Stephen O Pastan; S Ali Husain; Dustin J Carpenter; Geoffrey K Dube; R John Crew; Lloyd E Ratner; David J Cohen
Journal:  Kidney Int       Date:  2018-05-05       Impact factor: 10.612

Review 3.  Strategies for an Expanded Use of Kidneys From Elderly Donors.

Authors:  María José Pérez-Sáez; Núria Montero; Dolores Redondo-Pachón; Marta Crespo; Julio Pascual
Journal:  Transplantation       Date:  2017-04       Impact factor: 4.939

4.  The kidney allocation system does not appropriately stratify risk of pediatric donor kidneys: Implications for pediatric recipients.

Authors:  S M Nazarian; A W Peng; B Duggirala; M Gupta; T Bittermann; S Amaral; M H Levine
Journal:  Am J Transplant       Date:  2017-09-15       Impact factor: 8.086

5.  Development and validation of a new prediction model for graft function using preoperative marginal factors in living-donor kidney transplantation.

Authors:  Yuta Matsukuma; Kosuke Masutani; Shigeru Tanaka; Akihiro Tsuchimoto; Toshiaki Nakano; Yasuhiro Okabe; Yoichi Kakuta; Masayoshi Okumi; Kazuhiko Tsuruya; Masafumi Nakamura; Takanari Kitazono; Kazunari Tanabe
Journal:  Clin Exp Nephrol       Date:  2019-08-23       Impact factor: 2.801

6.  Association of the kidney allocation system with dialysis exposure before deceased donor kidney transplantation by preemptive wait-listing status.

Authors:  Meera N Harhay; Michael O Harhay; Karthik Ranganna; Suzanne M Boyle; Lissa Levin Mizrahi; Stephen Guy; Gregory E Malat; Gary Xiao; David J Reich; Rachel E Patzer
Journal:  Clin Transplant       Date:  2018-09-15       Impact factor: 2.863

7.  Organ quality metrics are a poor predictor of costs and resource utilization in deceased donor kidney transplantation.

Authors:  Christopher C Stahl; Koffi Wima; Dennis J Hanseman; Richard S Hoehn; Audrey Ertel; Emily F Midura; Samuel F Hohmann; Ian M Paquette; Shimul A Shah; Daniel E Abbott
Journal:  Surgery       Date:  2015-06-19       Impact factor: 3.982

8.  Predicting kidney transplant outcomes with partial knowledge of HLA mismatch.

Authors:  Charles F Manski; Anat R Tambur; Michael Gmeiner
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-23       Impact factor: 11.205

9.  Changes in Discard Rate After the Introduction of the Kidney Donor Profile Index (KDPI).

Authors:  S Bae; A B Massie; X Luo; S Anjum; N M Desai; D L Segev
Journal:  Am J Transplant       Date:  2016-03-22       Impact factor: 8.086

10.  Time-Effect of Donor and Recipient Characteristics on Graft Survival after Kidney Transplantation.

Authors:  Jingyan Yang; Christine L Sardo Molmenti; Joaquin Cagliani; Harish Datta; Elliot Grodstein; Rehana Rasul; Horacio Rilo; Lewis W Teperman; Ernesto P Molmenti
Journal:  Int J Angiol       Date:  2019-11-01
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