Literature DB >> 26973389

Advances in liver transplantation allocation systems.

Michael L Schilsky1, Maryam Moini1.   

Abstract

With the growing number of patients in need of liver transplantation, there is a need for adopting new and modifying existing allocation policies that prioritize patients for liver transplantation. Policy should ensure fair allocation that is reproducible and strongly predictive of best pre and post transplant outcomes while taking into account the natural history of the potential recipients liver disease and its complications. There is wide acceptance for allocation policies based on urgency in which the sickest patients on the waiting list with the highest risk of mortality receive priority. Model for end-stage liver disease and Child-Turcotte-Pugh scoring system, the two most universally applicable systems are used in urgency-based prioritization. However, other factors must be considered to achieve optimal allocation. Factors affecting pre-transplant patient survival and the quality of the donor organ also affect outcome. The optimal system should have allocation prioritization that accounts for both urgency and transplant outcome. We reviewed past and current liver allocation systems with the aim of generating further discussion about improvement of current policies.

Entities:  

Keywords:  Allocation; Liver; Model for end-stage liver disease; Transplantation

Mesh:

Year:  2016        PMID: 26973389      PMCID: PMC4779916          DOI: 10.3748/wjg.v22.i10.2922

Source DB:  PubMed          Journal:  World J Gastroenterol        ISSN: 1007-9327            Impact factor:   5.742


  62 in total

1.  Predicting survival among patients listed for liver transplantation: an assessment of serial MELD measurements.

Authors:  Kiran Bambha; W Ray Kim; Walter K Kremers; Terry M Therneau; Patrick S Kamath; Russell Wiesner; Charles B Rosen; Jeff Thostenson; Joanne T Benson; E Rolland Dickson
Journal:  Am J Transplant       Date:  2004-11       Impact factor: 8.086

2.  Hyponatremia a valuable predictor of early mortality in patients with cirrhosis listed for liver transplantation.

Authors:  Maryam Moini; Mohammad Kazem Hoseini-Asl; Seyed Alireza Taghavi; Mohammad M Sagheb; Saman Nikeghbalian; Heshmatalah Salahi; Ali Bahador; Motahareh Motazedian; Peyman Jafari; Sayed Ali Malek-Hosseini
Journal:  Clin Transplant       Date:  2010-11-16       Impact factor: 2.863

3.  Should age matter? A new proposal for liver transplantation allocation.

Authors:  Lisa B VanWagner; Anton I Skaro
Journal:  Liver Transpl       Date:  2015-10       Impact factor: 5.799

4.  Comparison of the model for end-stage liver disease (MELD), MELD-Na and MELDNa for outcome prediction in patients with acute decompensated hepatitis.

Authors:  C-Y Hsu; H-C Lin; Y-H Huang; C-W Su; F-Y Lee; T-I Huo; P-C Lee; J-Y Lee; S-D Lee
Journal:  Dig Liver Dis       Date:  2010-02       Impact factor: 4.088

5.  Hepatocellular carcinoma patients are advantaged in the current liver transplant allocation system.

Authors:  K Washburn; E Edwards; A Harper; R Freeman
Journal:  Am J Transplant       Date:  2010-05-10       Impact factor: 8.086

Review 6.  Surgery and portal hypertension.

Authors:  C G Child; J G Turcotte
Journal:  Major Probl Clin Surg       Date:  1964

7.  Early changes in liver distribution following implementation of Share 35.

Authors:  A B Massie; E K H Chow; C E Wickliffe; X Luo; S E Gentry; D C Mulligan; D L Segev
Journal:  Am J Transplant       Date:  2015-03       Impact factor: 8.086

8.  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

Review 9.  Hepatorenal syndrome.

Authors:  Pere Ginès; Mónica Guevara; Vicente Arroyo; Juan Rodés
Journal:  Lancet       Date:  2003-11-29       Impact factor: 79.321

10.  Center variation in the use of nonstandardized model for end-stage liver disease exception points.

Authors:  David S Goldberg; George Makar; Therese Bittermann; Benjamin French
Journal:  Liver Transpl       Date:  2013-10-10       Impact factor: 5.799

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  8 in total

Review 1.  Liver Allocation Policies in the USA: Past, Present, and the Future.

Authors:  Anjana Pillai; Thomas Couri; Michael Charlton
Journal:  Dig Dis Sci       Date:  2019-04       Impact factor: 3.199

2.  Liver transplantation and waitlist mortality for HCC and non-HCC candidates following the 2015 HCC exception policy change.

Authors:  Tanveen Ishaque; Allan B Massie; Mary G Bowring; Christine E Haugen; Jessica M Ruck; Samantha E Halpern; Madeleine M Waldram; Macey L Henderson; Jacqueline M Garonzik Wang; Andrew M Cameron; Benjamin Philosophe; Shane Ottmann; Anne F Rositch; Dorry L Segev
Journal:  Am J Transplant       Date:  2018-11-09       Impact factor: 8.086

Review 3.  Enlarged selection criteria for hepatocellular cancer: is the upper limit needed?

Authors:  Andrea Peloso; Graziano Oldani
Journal:  Transl Gastroenterol Hepatol       Date:  2017-09-21

4.  Morbid obesity increases death and dropout from the liver transplantation waiting list: A prospective cohort study.

Authors:  Claire Delacôte; Mathilde Favre; Medhi El Amrani; Massih Ningarhari; Elise Lemaitre; Line Carolle Ntandja-Wandji; Pierre Bauvin; Emmanuel Boleslawski; Guillaume Millet; Stephanie Truant; Philippe Mathurin; Alexandre Louvet; Valérie Canva; Gilles Lebuffe; François René Pruvot; Sébastien Dharancy; Guillaume Lassailly
Journal:  United European Gastroenterol J       Date:  2022-04-26       Impact factor: 6.866

5.  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

6.  Creatinine-lactate score predicts mortality in non-acetaminophen-induced acute liver failure in patients listed for liver transplantation.

Authors:  Estela Regina Ramos Figueira; Joel Avancini Rocha-Filho; Cinthia Lanchotte; Lucas Souto Nacif; Luciana Bertocco de Paiva Haddad; Adriana Rochetto Assalin; Yumi Ricucci Shinkado; Agustin Moscoso Vintimilla; Flavio Henrique Ferreira Galvao; Luiz Augusto Carneiro D'Albuquerque
Journal:  BMC Gastroenterol       Date:  2021-06-07       Impact factor: 3.067

7.  Limited comparability of creatinine assays in patients with liver cirrhosis and their impact on the MELD score.

Authors:  Thorsten Kaiser; Benedict Kinny-Köster; Carsten Gnewuch; Diana Karailieva; Michael Kiehntopf; Anja Kessler; Christina Ritter-Sket; Michael Schmidt; Korbinian Brand; Joachim Thiery; Ralf Lichtinghagen
Journal:  Pract Lab Med       Date:  2017-04-14

8.  A comparison of prognoses between surgical resection and radiofrequency ablation therapy for patients with hepatocellular carcinoma and esophagogastric varices.

Authors:  Cheng-Yi Wei; Gar-Yang Chau; Ping-Hsien Chen; Chien-An Liu; Yi-Hsiang Huang; Teh-Ia Huo; Ming-Chih Hou; Han-Chieh Lin; Yu-Hui Su; Jaw-Ching Wu; Chien-Wei Su
Journal:  Sci Rep       Date:  2020-10-14       Impact factor: 4.379

  8 in total

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