Literature DB >> 29316310

MELD as a metric for survival benefit of liver transplantation.

Xun Luo1, Joseph Leanza1, Allan B Massie1,2, Jacqueline M Garonzik-Wang1, Christine E Haugen1, Sommer E Gentry3, Shane E Ottmann1, Dorry L Segev1,2.   

Abstract

Currently, there is debate among the liver transplant community regarding the most appropriate mechanism for organ allocation: urgency-based (MELD) versus utility-based (survival benefit). We hypothesize that MELD and survival benefit are closely associated, and therefore, our current MELD-based allocation already reflects utility-based allocation. We used generalized gamma parametric models to quantify survival benefit of LT across MELD categories among 74 196 adult liver-only active candidates between 2006 and 2016 in the United States. We calculated time ratios (TR) of relative life expectancy with transplantation versus without and calculated expected life years gained after LT. LT extended life expectancy (TR > 1) for patients with MELD > 10. The highest MELD was associated with the longest relative life expectancy (TR = 1.05 1.201.37 for MELD 11-15, 2.29 2.492.70 for MELD 16-20, 5.30 5.726.16 for MELD 21-25, 15.12 16.3517.67 for MELD 26-30; 39.26 43.2147.55 for MELD 31-34; 120.04 128.25137.02 for MELD 35-40). As a result, candidates with the highest MELD gained the most life years after LT: 0.2, 1.5, 3.5, 5.8, 6.9, 7.2 years for MELD 11-15, 16-20, 21-25, 26-30, 31-34, 35-40, respectively. Therefore, prioritizing candidates by MELD remains a simple, effective strategy for prioritizing candidates with a higher transplant survival benefit over those with lower survival benefit.
© 2018 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  classification systems: Model for End-stage Liver Disease (MELD) ; clinical research/practice; health services and outcomes research; liver disease; liver transplantation/hepatology; organ allocation; organ procurement and allocation; organ transplantation in general; patient survival; registry/registry analysis

Mesh:

Year:  2018        PMID: 29316310      PMCID: PMC6116532          DOI: 10.1111/ajt.14660

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


  22 in total

1.  The survival benefit of deceased donor liver transplantation as a function of candidate disease severity and donor quality.

Authors:  D E Schaubel; C S Sima; N P Goodrich; S Feng; R M Merion
Journal:  Am J Transplant       Date:  2008-01-07       Impact factor: 8.086

2.  Assessing variation in the costs of care among patients awaiting liver transplantation.

Authors:  D A Axelrod; N Dzebisashvili; K Lentine; D L Segev; R Dickson; E Tuttle-Newhall; R Freeman; M Schnitzler
Journal:  Am J Transplant       Date:  2013-10-28       Impact factor: 8.086

3.  Effective communication of standard errors and confidence intervals.

Authors:  Thomas A Louis; Scott L Zeger
Journal:  Biostatistics       Date:  2008-06-10       Impact factor: 5.899

4.  High-risk liver transplant candidates: An ethical proposal on where to draw the line.

Authors:  Thomas D Schiano; Tyler Bourgoise; Rosamond Rhodes
Journal:  Liver Transpl       Date:  2015-04-15       Impact factor: 5.799

Review 5.  Big data in organ transplantation: registries and administrative claims.

Authors:  A B Massie; L M Kucirka; L M Kuricka; D L Segev
Journal:  Am J Transplant       Date:  2014-08       Impact factor: 8.086

Review 6.  A model to predict survival in patients with end-stage liver disease.

Authors:  P S Kamath; R H Wiesner; M Malinchoc; W Kremers; T M Therneau; C L Kosberg; G D'Amico; E R Dickson; W R Kim
Journal:  Hepatology       Date:  2001-02       Impact factor: 17.425

7.  The survival benefit of liver transplantation.

Authors:  Robert M Merion; Douglas E Schaubel; Dawn M Dykstra; Richard B Freeman; Friedrich K Port; Robert A Wolfe
Journal:  Am J Transplant       Date:  2005-02       Impact factor: 8.086

8.  Survival benefit of liver transplantation and the effect of underlying liver disease.

Authors:  Ana L Gleisner; Alvaro Muñoz; Ajacio Brandao; Claudio Marroni; Maria Lucia Zanotelli; Guido Gracco Cantisani; Leila Beltrami Moreira; Michael A Choti; Timothy M Pawlik
Journal:  Surgery       Date:  2009-12-03       Impact factor: 3.982

9.  Survival benefit-based deceased-donor liver allocation.

Authors:  D E Schaubel; M K Guidinger; S W Biggins; J D Kalbfleisch; E A Pomfret; P Sharma; R M Merion
Journal:  Am J Transplant       Date:  2009-04       Impact factor: 8.086

10.  Liver transplantation cost in the model for end-stage liver disease era: looking beyond the transplant admission.

Authors:  Paula Buchanan; Nino Dzebisashvili; Krista L Lentine; David A Axelrod; Mark A Schnitzler; Paolo R Salvalaggio
Journal:  Liver Transpl       Date:  2009-10       Impact factor: 5.799

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  9 in total

1.  Outcomes in Older Kidney Transplant Recipients After Prior Nonkidney Transplants.

Authors:  Christine E Haugen; Xun Luo; Courtenay M Holscher; Mary G Bowring; Sandra R DiBrito; Jacqueline Garonzik-Wang; Mara McAdams-DeMarco; Dorry L Segev
Journal:  Transplantation       Date:  2019-11       Impact factor: 4.939

2.  Pausing transplants in the face of a global pandemic: Patient survival implications.

Authors:  Minmin Zhang; Guihua Wang; Jun Li; Wallace J Hopp; David D Lee
Journal:  Prod Oper Manag       Date:  2022-03-07       Impact factor: 4.638

3.  Karnofsky performance status predicts outcomes in candidates for simultaneous liver-kidney transplant.

Authors:  Hani Shamseddeen; Francis Pike; Marwan Ghabril; Kavish R Patidar; Archita P Desai; Lauren Nephew; Melissa Anderson; Chandrashekhar Kubal; Naga Chalasani; Eric S Orman
Journal:  Clin Transplant       Date:  2020-12-29       Impact factor: 3.456

Review 4.  Approaches for patients with very high MELD scores.

Authors:  Florent Artru; Didier Samuel
Journal:  JHEP Rep       Date:  2019-02-23

5.  MELD Score Reflects the Mood, Sleep, and Daily Living Ability in Liver Transplantation Candidates: A Descriptive Study.

Authors:  Kaiji Ni; Chenglin Li; Yongbing Qian; Xia Sun; Yan Zhan; Ting Zeng; Siqi Zhu; Qiang Xia; Wei Feng; Yanli Luo
Journal:  Ann Transplant       Date:  2020-12-01       Impact factor: 1.530

6.  The Role of von Willebrand Factor Antigen in Predicting Survival of Patients with HBV-Related Cirrhosis.

Authors:  Youmin Pan; Renyong Guo; Yan Lv; Dawei Cui; Jue Xie
Journal:  Can J Gastroenterol Hepatol       Date:  2022-03-22

7.  Modelling kidney outcomes based on MELD eras - impact of MELD score in renal endpoints after liver transplantation.

Authors:  Paulo Ricardo Gessolo Lins; Roberto Camargo Narciso; Leonardo Rolim Ferraz; Virgilio Gonçalves Pereira; Ben-Hur Ferraz-Neto; Marcio Dias De Almeida; Bento Fortunato Cardoso Dos Santos; Oscar Fernando Pavão Dos Santos; Júlio Cesar Martins Monte; Marcelino Souza Durão Júnior; Marcelo Costa Batista
Journal:  BMC Nephrol       Date:  2022-08-23       Impact factor: 2.585

8.  Building a Utility-based Liver Allocation Model in Preparation for Continuous Distribution.

Authors:  Catherine E Kling; James D Perkins; Scott W Biggins; Anji E Wall; Jorge D Reyes
Journal:  Transplant Direct       Date:  2022-01-13

9.  Two-dimensional shear wave elastography predicts survival in advanced chronic liver disease.

Authors:  Jonel Trebicka; Wenyi Gu; Victor de Ledinghen; Christophe Aubé; Aleksander Krag; Michael Praktiknjo; Laurent Castera; Jerome Dumortier; David Josef Maria Bauer; Mireen Friedrich-Rust; Stanislas Pol; Ivica Grgurevic; Rongqin Zheng; Sven Francque; Halima Gottfriedovà; Sanda Mustapic; Ioan Sporea; Annalisa Berzigotti; Frank Erhard Uschner; Benedikt Simbrunner; Maxime Ronot; Christophe Cassinotto; Maria Kjaergaard; Filipe Andrade; Martin Schulz; Georg Semmler; Ida Tjesic Drinkovic; Johannes Chang; Maximilian Joseph Brol; Pierre Emmanuel Rautou; Thomas Vanwolleghem; Christian P Strassburg; Jerome Boursier; Philip Georg Ferstl; Ditlev Nytoft Rasmussen; Thomas Reiberger; Valerie Vilgrain; Aymeric Guibal; Olivier Guillaud; Stefan Zeuzem; Camille Vassord; Xue Lu; Luisa Vonghia; Renata Senkerikova; Alina Popescu; Cristina Margini; Wenping Wang; Maja Thiele; Chrisitan Jansen
Journal:  Gut       Date:  2021-01-21       Impact factor: 23.059

  9 in total

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