Literature DB >> 19120079

D-MELD, a simple predictor of post liver transplant mortality for optimization of donor/recipient matching.

J B Halldorson1, R Bakthavatsalam, O Fix, J D Reyes, J D Perkins.   

Abstract

Numerous donor and recipient risk factors interact to influence the probability of survival after liver transplantation. We developed a statistic, D-MELD, the product of donor age and preoperative MELD, calculated from laboratory values. Using the UNOS STAR national transplant data base, we analyzed survival for first liver transplant recipients with chronic liver failure from deceased after brain death donors. Preoperative D-MELD score effectively stratified posttransplant survival. Using a cutoff D-MELD score of 1600, we defined a subgroup of donor-recipient matches with significantly poorer short- and long-term outcomes as measured by survival and length of stay (LOS). Avoidance of D-MELD scores above 1600 improved results for subgroups of high-risk patients with donor age >/=60 and those with preoperative MELD >/=30. D-MELD >/=1600 accurately predicted worse outcome in recipients with and without hepatitis C. There is significant regional variation in average D-MELD scores at transplant, however, regions with larger numbers of high D-MELD matches do not have higher survival rates. D-MELD is a simple, highly predictive tool for estimating outcomes after liver transplantation. This statistic could assist surgeons and their patients in making organ acceptance decisions. Applying D-MELD to liver allocation could eliminate many donor/recipient matches likely to have inferior outcome.

Entities:  

Mesh:

Year:  2008        PMID: 19120079     DOI: 10.1111/j.1600-6143.2008.02491.x

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


  67 in total

Review 1.  Development of organ-specific donor risk indices.

Authors:  Sanjeev K Akkina; Sumeet K Asrani; Yi Peng; Peter Stock; W Ray Kim; Ajay K Israni
Journal:  Liver Transpl       Date:  2012-04       Impact factor: 5.799

2.  Von Willebrand factor and alkaline phosphatase predict re-transplantation-free survival after the first liver transplantation.

Authors:  Andreas Wannhoff; Conrad Rauber; Kilian Friedrich; Christian Rupp; Wolfgang Stremmel; Karl Heinz Weiss; Peter Schemmer; Daniel N Gotthardt
Journal:  United European Gastroenterol J       Date:  2016-07-08       Impact factor: 4.623

Review 3.  Prioritization for liver transplantation.

Authors:  Evangelos Cholongitas; Giacomo Germani; Andrew K Burroughs
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2010-11-02       Impact factor: 46.802

Review 4.  How important is donor age in liver transplantation?

Authors:  Alberto Lué; Estela Solanas; Pedro Baptista; Sara Lorente; Juan J Araiz; Agustin Garcia-Gil; M Trinidad Serrano
Journal:  World J Gastroenterol       Date:  2016-06-07       Impact factor: 5.742

Review 5.  Transplant for the very sick: No limitations in donor quality?

Authors:  Jennifer C Lai
Journal:  Liver Transpl       Date:  2017-10       Impact factor: 5.799

6.  Use of BAR score as predictor of short and long-term survival of liver transplantation patients.

Authors:  Chung-Mau Lo
Journal:  Hepatol Int       Date:  2014-10-31       Impact factor: 6.047

7.  Hepatobiliary quiz-6 (2013).

Authors:  Swastik Agrawal; Radha K Dhiman
Journal:  J Clin Exp Hepatol       Date:  2013-06

8.  [High donor age for liver transplantation : Tackling organ scarcity in Germany].

Authors:  S Moosburner; P V Ritschl; L Wiering; J M G V Gassner; R Öllinger; J Pratschke; I M Sauer; N Raschzok
Journal:  Chirurg       Date:  2019-09       Impact factor: 0.955

9.  Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation.

Authors:  Lawrence Lau; Yamuna Kankanige; Benjamin Rubinstein; Robert Jones; Christopher Christophi; Vijayaragavan Muralidharan; James Bailey
Journal:  Transplantation       Date:  2017-04       Impact factor: 4.939

Review 10.  Predictive factors of short term outcome after liver transplantation: A review.

Authors:  Giuliano Bolondi; Federico Mocchegiani; Roberto Montalti; Daniele Nicolini; Marco Vivarelli; Lesley De Pietri
Journal:  World J Gastroenterol       Date:  2016-07-14       Impact factor: 5.742

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