Literature DB >> 24165015

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

D A Axelrod1, N Dzebisashvili, K Lentine, D L Segev, R Dickson, E Tuttle-Newhall, R Freeman, M Schnitzler.   

Abstract

Previous economic analyses of liver transplantation have focused on the cost of the transplant and subsequent care. Accurate characterization of the pretransplant costs, indexed to severity of illness, is needed to assess the economic burden of liver disease. A novel data set linking Medicare claims with transplant registry data for 15,710 liver transplant recipients was used to determine average monthly waitlist spending (N = 249,434 waitlist months) using multivariable linear regression models to adjust for recipient characteristics including Model for End-Stage Liver Disease (MELD) score. Characteristics associated with higher spending included older age, female gender, hepatocellular carcinoma, diabetes, hypertension and increasing MELD score (p < 0.05 for all). Spending increased exponentially with severity of illness: expected monthly spending at a MELD score of 30 was 10 times higher than at MELD of 20 ($22,685 vs. $2030). Monthly spending within MELD strata also varied geographically. For candidates with a MELD score of 35, spending varied from $19,548 (region 10) to $36,099 (region 7). Regional variation in waitlist costs may reflect the impact of longer waiting times on greater pretransplant hospitalization rates among high MELD score patients. Reducing the number of high MELD waitlist patients through improved medical management and novel organ allocation systems could decrease total spending for end-stage liver care. © Copyright 2013 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  Allocation; economic analysis; liver transplantation

Mesh:

Year:  2013        PMID: 24165015     DOI: 10.1111/ajt.12494

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


  11 in total

1.  MELD as a metric for survival benefit of liver transplantation.

Authors:  Xun Luo; Joseph Leanza; Allan B Massie; Jacqueline M Garonzik-Wang; Christine E Haugen; Sommer E Gentry; Shane E Ottmann; Dorry L Segev
Journal:  Am J Transplant       Date:  2018-02-19       Impact factor: 8.086

2.  Survival outcomes in liver transplant recipients with Model for End-stage Liver Disease scores of 40 or higher: a decade-long experience.

Authors:  Hina J Panchal; Joel B Durinka; Jeromy Patterson; Farah Karipineni; Sarah Ashburn; Eric Siskind; Jorge Ortiz
Journal:  HPB (Oxford)       Date:  2015-09-16       Impact factor: 3.647

3.  Potential savings in the treatment pathway of liver transplantation: an inter-sectorial analysis of cost-rising factors.

Authors:  Lena Harries; Jill Gwiasda; Zhi Qu; Harald Schrem; Christian Krauth; Volker Eric Amelung
Journal:  Eur J Health Econ       Date:  2018-07-26

Review 4.  Model for end-stage liver disease score and MELD exceptions: 15 years later.

Authors:  Sumeet K Asrani; Patrick S Kamath
Journal:  Hepatol Int       Date:  2015-05-28       Impact factor: 6.047

5.  Viability testing of discarded livers with normothermic machine perfusion: Alleviating the organ shortage outweighs the cost.

Authors:  Siavash Raigani; Reinier J De Vries; Cailah Carroll; Ya-Wen Chen; David C Chang; Stuti G Shroff; Korkut Uygun; Heidi Yeh
Journal:  Clin Transplant       Date:  2020-09-23       Impact factor: 2.863

6.  The Changing Financial Landscape of Renal Transplant Practice: A National Cohort Analysis.

Authors:  D A Axelrod; M A Schnitzler; H Xiao; A S Naik; D L Segev; V R Dharnidharka; D C Brennan; K L Lentine
Journal:  Am J Transplant       Date:  2016-10-04       Impact factor: 8.086

Review 7.  Hyperglycemia and Diabetes Mellitus Following Organ Transplantation.

Authors:  Rodolfo J Galindo; Amisha Wallia
Journal:  Curr Diab Rep       Date:  2016-02       Impact factor: 4.810

8.  Healthcare utilization after liver transplantation is highly variable among both centers and recipients.

Authors:  T Bittermann; R A Hubbard; M Serper; J D Lewis; S F Hohmann; L B VanWagner; D S Goldberg
Journal:  Am J Transplant       Date:  2017-11-17       Impact factor: 8.086

9.  Future Economics of Liver Transplantation: A 20-Year Cost Modeling Forecast and the Prospect of Bioengineering Autologous Liver Grafts.

Authors:  Dany Habka; David Mann; Ronald Landes; Alejandro Soto-Gutierrez
Journal:  PLoS One       Date:  2015-07-15       Impact factor: 3.240

10.  Phase angle obtained by bioelectrical impedance analysis independently predicts mortality in patients with cirrhosis.

Authors:  Giliane Belarmino; Maria Cristina Gonzalez; Raquel S Torrinhas; Priscila Sala; Wellington Andraus; Luiz Augusto Carneiro D'Albuquerque; Rosa Maria R Pereira; Valéria F Caparbo; Graziela R Ravacci; Lucas Damiani; Steven B Heymsfield; Dan L Waitzberg
Journal:  World J Hepatol       Date:  2017-03-08
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