Literature DB >> 28483678

Inequity in organ allocation for patients awaiting liver transplantation: Rationale for uncapping the model for end-stage liver disease.

Mitra K Nadim1, Joseph DiNorcia2, Lingyun Ji3, Susan Groshen3, Josh Levitsky4, Randall S Sung5, W Ray Kim6, Kenneth Andreoni7, David Mulligan8, Yuri S Genyk2.   

Abstract

BACKGROUND & AIM: The goal of organ allocation is to distribute a scarce resource equitably to the sickest patients. In the United States, the Model for End-stage Liver Disease (MELD) is used to allocate livers for transplantation. Patients with greater MELD scores are at greater risk of death on the waitlist and are prioritized for liver transplant (LT). The MELD is capped at 40 however, and patients with calculated MELD scores >40 are not prioritized despite increased mortality. We aimed to evaluate waitlist and post-transplant survival stratified by MELD to determine outcomes in patients with MELD >40.
METHODS: Using United Network for Organ Sharing data, we identified patients listed for LT from February 2002 through to December 2012. Waitlist candidates with MELD ⩾40 were followed for 30days or until the earliest occurrence of death or transplant.
RESULTS: Of 65,776 waitlisted patients, 3.3% had MELD ⩾40 at registration, and an additional 7.3% had MELD scores increase to ⩾40 after waitlist registration. A total of 30,369 (46.2%) underwent LT, of which 2,615 (8.6%) had MELD ⩾40 at transplant. Compared to MELD 40, the hazard ratio of death within 30days of registration was 1.4 (95% CI 1.2-1.6) for patients with MELD 41-44, 2.6 (95% CI 2.1-3.1) for MELD 45-49, and 5.0 (95% CI 4.1-6.1) for MELD ⩾50. There was no difference in 1- and 3-year survival for patients transplanted with MELD >40 compared to MELD=40. A survival benefit associated with LT was seen as MELD increased above 40.
CONCLUSIONS: Patients with MELD >40 have significantly greater waitlist mortality but comparable post-transplant outcomes to patients with MELD=40 and, therefore, should be given priority for LT. Uncapping the MELD will allow more equitable organ distribution aligned with the principle of prioritizing patients most in need. Lay summary: In the United States (US), organs for liver transplantation are allocated by an objective scoring system called the Model for End-stage Liver Disease (MELD), which aims to prioritize the sickest patients for transplant. The greater the MELD score, the greater the mortality without liver transplant. The MELD score, however, is artificially capped at 40 and thus actually disadvantages the sickest patients with end-stage liver disease. Analysis of the data advocates uncapping the MELD score to appropriately prioritize the patients most in need of a liver transplant.
Copyright © 2017 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Liver allocation; Liver transplantation; Model for end-stage liver disease (MELD); Post-transplant outcome; Regional disparity; Share 35; Waitlist mortality

Mesh:

Year:  2017        PMID: 28483678     DOI: 10.1016/j.jhep.2017.04.022

Source DB:  PubMed          Journal:  J Hepatol        ISSN: 0168-8278            Impact factor:   25.083


  8 in total

1.  MELD 3.0: The Model for End-Stage Liver Disease Updated for the Modern Era.

Authors:  W Ray Kim; Ajitha Mannalithara; Julie K Heimbach; Patrick S Kamath; Sumeet K Asrani; Scott W Biggins; Nicholas L Wood; Sommer E Gentry; Allison J Kwong
Journal:  Gastroenterology       Date:  2021-09-03       Impact factor: 22.682

2.  Is Prioritization of Kidney Allografts to Combined Liver-Kidney Recipients Appropriate? PRO.

Authors:  Tiffany T Truong; Mitra K Nadim
Journal:  Kidney360       Date:  2021-10-15

3.  Management of patients with liver diseases on the waiting list for transplantation: a major impact to the success of liver transplantation.

Authors:  Didier Samuel; Audrey Coilly
Journal:  BMC Med       Date:  2018-08-01       Impact factor: 8.775

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

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

5.  Clinical Validation of a Novel Scoring System Based on Donor and Recipient Risk Factors for Predicting Outcomes in Liver Transplantation.

Authors:  Lucas Souto Nacif; Daniel Reis Waisberg; Leonardo Yuri Zanini; Rafael Soares Pinheiro; Vinicius Rocha-Santos; Rubens Arantes Macedo; Liliana Ducatti; Luciana Haddad; Rodrigo Bronze de Martino; Flávio Galvão; Wellington Andraus; Luiz Carneiro-D'Albuquerque
Journal:  Ann Transplant       Date:  2022-08-30       Impact factor: 1.479

6.  Early prediction of acute kidney injury after liver transplantation by scoring system and decision tree.

Authors:  Wang Xin; Wang Yi; Hui Liu; Liu Haixia; Lin Dongdong; Yingmin Ma; Guangming Li
Journal:  Ren Fail       Date:  2021-12       Impact factor: 2.606

7.  Invited response to "MELD calibration".

Authors:  Ben F J Goudsmit; Hein Putter; Maarten E Tushuizen; Jan de Boer; Serge Vogelaar; Ian P J Alwayn; Bart van Hoek; Andries E Braat
Journal:  Am J Transplant       Date:  2020-09-19       Impact factor: 8.086

8.  Refitting the Model for End-Stage Liver Disease for the Eurotransplant Region.

Authors:  Jacques Pirenne; Bart van Hoek; Andries E Braat; Ben F J Goudsmit; Hein Putter; Maarten E Tushuizen; Serge Vogelaar; Ian P J Alwayn
Journal:  Hepatology       Date:  2021-05-09       Impact factor: 17.425

  8 in total

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