Literature DB >> 17391139

The economic impact of the utilization of liver allografts with high donor risk index.

D A Axelrod1, M Schnitzler, P R Salvalaggio, J Swindle, M M Abecassis.   

Abstract

The disparity between the organ supply and the demand for liver transplantation (LT) has resulted in the growing utilization of 'marginal donor' organs. While economic outcomes for subsets of 'marginal' organs have been described for renal transplantation, similar analyses have not been performed for LT. Using UNOS data for 17 710 LTs performed between 2002 and 2005, we assessed the relationship between recipient model for end-stage liver disease (MELD) score, organ quality as defined by donor risk index (DRI, Feng et al. 2005) and hospital length of stay (LOS). Single-center cost-accounting data for 338 liver transplants were then analyzed with a multivariate linear regression model to determine the estimated cost associated with a day of LOS. Overall, 8.4% of donor organs were classified as high risk (DRI > 2-2.5) and 1.9% as very high risk (DRI > 2.5). In the lowest MELD group (0-10), the LOS difference between 'ideal' donors (DRI < 1.0) and very high risk (DRI > 2.5) was 10.6 days which was associated with an estimated incremental cost of $47 986. For patients with MELD >35, the average LOS increased from 23.2 to 41.8 days when very high DRI donors were used, resulting in an estimated increase in cost of nearly $84 000. We conclude that the use of marginal liver grafts results in increased hospital costs independent of recipient risk factors.

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Year:  2007        PMID: 17391139     DOI: 10.1111/j.1600-6143.2006.01724.x

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


  31 in total

1.  Centre volume and resource consumption in liver transplantation.

Authors:  Christopher W Macomber; Joshua J Shaw; Heena Santry; Reza F Saidi; Nicolas Jabbour; Jennifer F Tseng; Adel Bozorgzadeh; Shimul A Shah
Journal:  HPB (Oxford)       Date:  2012-06-10       Impact factor: 3.647

2.  Comparative effectiveness of donation after cardiac death versus donation after brain death liver transplantation: Recognizing who can benefit.

Authors:  Colleen L Jay; Anton I Skaro; Daniela P Ladner; Edward Wang; Vadim Lyuksemburg; Yaojen Chang; Hongmei Xu; Sandhya Talakokkla; Neehar Parikh; Jane L Holl; Gordon B Hazen; Michael M Abecassis
Journal:  Liver Transpl       Date:  2012-06       Impact factor: 5.799

Review 3.  Development of organ-specific donor risk indices.

Authors:  Sanjeev K Akkina; Sumeet K Asrani; Yi Peng; Peter Stock; W Ray Kim; Ajay K Israni
Journal:  Liver Transpl       Date:  2012-04       Impact factor: 5.799

4.  C-Jun N-terminal kinase 2 promotes graft injury via the mitochondrial permeability transition after mouse liver transplantation.

Authors:  T P Theruvath; C Czerny; V K Ramshesh; Z Zhong; K D Chavin; J J Lemasters
Journal:  Am J Transplant       Date:  2008-07-28       Impact factor: 8.086

5.  Declining liver graft quality threatens the future of liver transplantation in the United States.

Authors:  Eric S Orman; Maria E Mayorga; Stephanie B Wheeler; Rachel M Townsley; Hector H Toro-Diaz; Paul H Hayashi; A Sidney Barritt
Journal:  Liver Transpl       Date:  2015-08       Impact factor: 5.799

6.  Is liver transplantation using organs donated after cardiac death cost-effective or does it decrease waitlist death by increasing recipient death?

Authors:  Leigh Anne Dageforde; Irene D Feurer; C Wright Pinson; Derek E Moore
Journal:  HPB (Oxford)       Date:  2012-07-04       Impact factor: 3.647

Review 7.  [Deceased donor liver transplantation].

Authors:  D Seehofer; W Schöning; P Neuhaus
Journal:  Chirurg       Date:  2013-05       Impact factor: 0.955

Review 8.  Quality of life, risk assessment, and safety research in liver transplantation: new frontiers in health services and outcomes research.

Authors:  Zeeshan Butt; Neehar D Parikh; Anton I Skaro; Daniela Ladner; David Cella
Journal:  Curr Opin Organ Transplant       Date:  2012-06       Impact factor: 2.640

9.  Resource utilization associated with procurement of transplantable organs from donors that do not meet OPTN eligible death criteria.

Authors:  Derek A DuBay; David T Redden; Mary K Bryant; David P Dorn; Mona N Fouad; Stephen H Gray; Jared A White; Jayme E Locke; Christopher B Meeks; Garry C Taylor; Meredith L Kilgore; Devin E Eckhoff
Journal:  Transplantation       Date:  2014-05-27       Impact factor: 4.939

10.  Trends in Characteristics of Patients Listed for Liver Transplantation Will Lead to Higher Rates of Waitlist Removal Due to Clinical Deterioration.

Authors:  Zinan Yi; Maria E Mayorga; Eric S Orman; Stephanie B Wheeler; Paul H Hayashi; A Sidney Barritt
Journal:  Transplantation       Date:  2017-10       Impact factor: 4.939

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