Literature DB >> 14586883

The sickest first? Disparities with model for end-stage liver disease-based organ allocation: one region's experience.

Randolph L Schaffer1, Sanjay Kulkarni, Ann Harper, J Michael Millis, David C Cronin.   

Abstract

February 27, 2002, allocation of cadaver livers for transplantation changed from a waiting-time-based system to an evidence-based system referred to as the Model for End-Stage Liver Disease (MELD). We reviewed data from 1 of the 11 United Network for Organ Sharing regions to determine the impact of the MELD on the allocation of cadaver livers for transplantation in that region. The region of interest (study region) consists of three distinct geographic areas (referred to as Transplant Service Areas [TSAs]). Based on information obtained from the Organ Procurement and Transplantation Network for the United States and for the study region, the following observations were made: (1) study region patients who received a cadaver liver had higher mean and median MELD scores than cadaver liver recipients in the United States (study region mean score, 25.1; median, 26.0; US mean score, 23.9; median, 24.0); (2) within the study region, TSAs with competing liver transplant programs performed transplantation on patients at a significantly higher mean MELD score than TSAs dominated by a single center (TSA-1 mean score, 27.3; TSA-2 mean score, 26.6; TSA-3 mean score, 21.3); this disparity persisted when transplantations for hepatocellular carcinoma (HCC) were excluded; and (3) study region patients removed from the waiting list because of death or being too sick for transplantation have higher MELD scores than the national average (study region mean score, 25.4; US mean score, 23.8). Overall, implementation of the MELD resulted in a substantial increase in the number of transplantations performed for HCC, and MELD exceptions for all reasons were more common in TSAs that have multiple centers. Despite the MELD, there remains disparity in organ allocation within the study region. The MELD may accurately predict pretransplantation mortality, but it does not ensure equitable organ distribution. We propose that intraregional sharing of cadaver livers based on the MELD may help limit disparities in organ allocation.

Entities:  

Mesh:

Year:  2003        PMID: 14586883     DOI: 10.1053/jlts.2003.50192

Source DB:  PubMed          Journal:  Liver Transpl        ISSN: 1527-6465            Impact factor:   5.799


  7 in total

Review 1.  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

2.  Predicting Outcomes on the Liver Transplant Waiting List in the United States: Accounting for Large Regional Variation in Organ Availability and Priority Allocation Points.

Authors:  Allyson Hart; David P Schladt; Jessica Zeglin; Joshua Pyke; W Ray Kim; John R Lake; John P Roberts; Ryutaro Hirose; David C Mulligan; Bertram L Kasiske; Jon J Snyder; Ajay K Israni
Journal:  Transplantation       Date:  2016-10       Impact factor: 4.939

3.  County socioeconomic characteristics and pediatric renal transplantation outcomes.

Authors:  Rebecca Miller; Clifford Akateh; Noelle Thompson; Dmitry Tumin; Don Hayes; Sylvester M Black; Joseph D Tobias
Journal:  Pediatr Nephrol       Date:  2018-03-12       Impact factor: 3.714

4.  [Liver transplantation: deciding between need and donor allocation].

Authors:  C P Strassburg; T Becker; J Klempnauer; M P Manns
Journal:  Internist (Berl)       Date:  2004-11       Impact factor: 0.743

5.  County-level Differences in Liver-related Mortality, Waitlisting, and Liver Transplantation in the United States.

Authors:  Robert M Cannon; Ariann Nassel; Jeffery T Walker; Saulat S Sheikh; Babak J Orandi; Malay B Shah; Raymond J Lynch; David S Goldberg; Jayme E Locke
Journal:  Transplantation       Date:  2022-05-09       Impact factor: 5.385

6.  Disparities in liver transplantation before and after introduction of the MELD score.

Authors:  Cynthia A Moylan; Carla W Brady; Jeffrey L Johnson; Alastair D Smith; Janet E Tuttle-Newhall; Andrew J Muir
Journal:  JAMA       Date:  2008-11-26       Impact factor: 56.272

7.  Development of a Korean Liver Allocation System using Model for End Stage Liver Disease Scores: A Nationwide, Multicenter study.

Authors:  Juhan Lee; Jae Geun Lee; Inkyung Jung; Dong Jin Joo; Soon Il Kim; Myoung Soo Kim
Journal:  Sci Rep       Date:  2019-05-16       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.