Literature DB >> 23953516

Donor and recipient factors predicting time to graft failure following orthotopic liver transplantation: a transplant risk index.

A M Stey1, J Doucette, S Florman, S Emre.   

Abstract

INTRODUCTION: Much of the success of a transplant depends on appropriate matching of donor to recipient.
METHODS: We validated the Donor Risk Index formula (DRI) using Mount Sinai Medical Center's 10-year cohort of over 1000 transplants.
RESULTS: The DRI was significantly associated to graft failure with a relative risk (RR) of 1.32. Our cohort had an average DRI of 2.6 with survival of 83% at 3 months, 79% at 1 year, and 70% at 3 years. The low rate of graft failure at a high DRI implies that there are other factors important in transplant pairing that are not considered in the DRI model. To determine these variables and quantify their importance, we constructed a Transplant Risk Index by identifying recipient and donor variables not captured in United Network for Organ Sharing (UNOS) that significantly correlated to graft failure. The most significant independent predictors of time to graft failure were donor age, weight, and peak serum sodium; ischemia time; and recipient creatinine, international normalized ratio, and hepatitis C infection. The coefficients for each of these factors were compiled into a Transplant Risk Index formula. A cutoff of 5 resulted in a graft survival rate of 86% at 3 months, 76% at 1 year, and 62% at 3 years using Kaplan-Meier analysis. The predictive ability of the Transplant Risk Index was greater than the DRI or DMELD (the product of donor age and preoperative MELD) as assessed by the area under the receiver operating curve and the positive and negative predictive values.
CONCLUSION: The Transplant Risk Index captures recipient factors and donor factors not captured in UNOS. Including these factors may improve the ability to predict good donor-recipient pairing.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23953516     DOI: 10.1016/j.transproceed.2013.06.001

Source DB:  PubMed          Journal:  Transplant Proc        ISSN: 0041-1345            Impact factor:   1.066


  5 in total

1.  Complications and mortality after adult to adult living donor liver transplantation: A retrospective cohort study.

Authors:  Emad Hamdy Gad; Ayman Alsebaey; Maha Lotfy; Mohamed Eltabbakh; Ahmed Alshawadfy Sherif
Journal:  Ann Med Surg (Lond)       Date:  2015-04-25

2.  Comparison of Different Scoring Systems Based on Both Donor and Recipient Characteristics for Predicting Outcome after Living Donor Liver Transplantation.

Authors:  Yucheng Ma; Qing Wang; Jiayin Yang; Lunan Yan
Journal:  PLoS One       Date:  2015-09-17       Impact factor: 3.240

Review 3.  From "Gut Feeling" to Objectivity: Machine Preservation of the Liver as a Tool to Assess Organ Viability.

Authors:  Christopher J E Watson; Ina Jochmans
Journal:  Curr Transplant Rep       Date:  2018-01-20

4.  Using machine learning to estimate survival curves for patients receiving an increased risk for disease transmission heart, liver, or lung versus waiting for a standard organ.

Authors:  Ethan Mark; David Goldsman; Pinar Keskinocak; Joel Sokol
Journal:  Transpl Infect Dis       Date:  2019-10-09

5.  Effects of Donor Age and Cold Ischemia on Liver Transplantation Outcomes According to the Severity of Recipient Status.

Authors:  Michał Grąt; Karolina M Wronka; Waldemar Patkowski; Jan Stypułkowski; Karolina Grąt; Maciej Krasnodębski; Łukasz Masior; Zbigniew Lewandowski; Marek Krawczyk
Journal:  Dig Dis Sci       Date:  2016-02       Impact factor: 3.199

  5 in total

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