Literature DB >> 24903739

External validation of the estimated posttransplant survival score for allocation of deceased donor kidneys in the United States.

P A Clayton1, S P McDonald, J J Snyder, N Salkowski, S J Chadban.   

Abstract

The US kidney allocation system adopted in 2013 will allocate the best 20% of deceased donor kidneys (based on the kidney donor risk index [KDRI]) to the 20% of waitlisted patients with the highest estimated posttransplant survival (EPTS). The EPTS has not been externally validated, raising concerns as to its suitability to discriminate between kidney transplant candidates. We examined EPTS using data from the Australia and New Zealand Dialysis and Transplant (ANZDATA) Registry. We included 4983 adult kidney-only deceased donor transplants over 2000-2011. We constructed three Cox models for patient survival: (i) EPTS alone; (ii) EPTS plus donor age, hypertension and HLA-DR mismatch; and (iii) EPTS plus log(KDRI). All models demonstrated moderately good discrimination, with Harrell's C statistics of 0.67, 0.68 and 0.69, respectively. These results are virtually identical to the internal validation that demonstrated a c-statistic of 0.69. These results provide external validation of the EPTS as a moderately good tool for discriminating posttransplant survival of adult kidney-only transplant recipients. © Copyright 2014 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  Deceased donor; kidney allocation; kidney transplantation; patient survival

Mesh:

Substances:

Year:  2014        PMID: 24903739     DOI: 10.1111/ajt.12761

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  20 in total

1.  Predictive Score for Posttransplantation Outcomes.

Authors:  Miklos Z Molnar; Danh V Nguyen; Yanjun Chen; Vanessa Ravel; Elani Streja; Mahesh Krishnan; Csaba P Kovesdy; Rajnish Mehrotra; Kamyar Kalantar-Zadeh
Journal:  Transplantation       Date:  2017-06       Impact factor: 4.939

2.  Pre-Kidney Transplant Lower Extremity Impairment and Post-Kidney Transplant Mortality.

Authors:  A J Nastasi; M A McAdams-DeMarco; J Schrack; H Ying; I Olorundare; F Warsame; A Mountford; C E Haugen; M González Fernández; S P Norman; D L Segev
Journal:  Am J Transplant       Date:  2017-08-30       Impact factor: 8.086

3.  Impact of prolonged dialysis prior to renal transplantation.

Authors:  David D Aufhauser; Allison W Peng; Douglas R Murken; Seth J Concors; Peter L Abt; Deirdre Sawinski; Roy D Bloom; Peter P Reese; Matthew H Levine
Journal:  Clin Transplant       Date:  2018-06-25       Impact factor: 2.863

4.  Association between the "Timed Up and Go Test" at transplant evaluation and outcomes after kidney transplantation.

Authors:  Ariane T Michelson; Demetra S Tsapepas; S Ali Husain; Corey Brennan; Mariana C Chiles; Brian Runge; Jennifer Lione; Byum H Kil; David J Cohen; Lloyd E Ratner; Sumit Mohan
Journal:  Clin Transplant       Date:  2018-10-28       Impact factor: 2.863

5.  A kidney offer acceptance decision tool to inform the decision to accept an offer or wait for a better kidney.

Authors:  Andrew Wey; Nicholas Salkowski; Walter K Kremers; Cory R Schaffhausen; Bertram L Kasiske; Ajay K Israni; Jon J Snyder
Journal:  Am J Transplant       Date:  2017-10-17       Impact factor: 8.086

6.  Development of predictive score for post-transplant survival based on pre-transplant recipient characteristics.

Authors:  Tai Yeon Koo; Joongyub Lee; Jaeseok Yang
Journal:  Korean J Transplant       Date:  2021-06-30

7.  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

8.  Who can tolerate a marginal kidney? Predicting survival after deceased donor kidney transplant by donor-recipient combination.

Authors:  Sunjae Bae; Allan B Massie; Alvin G Thomas; Gahyun Bahn; Xun Luo; Kyle R Jackson; Shane E Ottmann; Daniel C Brennan; Niraj M Desai; Josef Coresh; Dorry L Segev; Jacqueline M Garonzik Wang
Journal:  Am J Transplant       Date:  2018-07-14       Impact factor: 8.086

9.  Implications of Frailty for Peritransplant Outcomes in Kidney Transplant Recipients.

Authors:  Xingxing S Cheng; Krista L Lentine; Farrukh M Koraishy; Jonathan Myers; Jane C Tan
Journal:  Curr Transplant Rep       Date:  2019-01-26

10.  Defining a Willingness-to-transplant Threshold in an Era of Organ Scarcity: Simultaneous Liver-kidney Transplant as a Case Example.

Authors:  Xingxing S Cheng; Jeremy Goldhaber-Fiebert; Jane C Tan; Glenn M Chertow; W Ray Kim; Anji E Wall
Journal:  Transplantation       Date:  2020-02       Impact factor: 5.385

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