Cost Effectiveness of Transplanting HCV-Infected Livers Into Uninfected Recipients With Preemptive Antiviral Therapy.


Journal

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
ISSN: 1542-7714
Titre abrégé: Clin Gastroenterol Hepatol
Pays: United States
ID NLM: 101160775

Informations de publication

Date de publication:
03 2019
Historique:
received: 27 04 2018
revised: 26 07 2018
accepted: 13 08 2018
pubmed: 24 8 2018
medline: 3 7 2020
entrez: 24 8 2018
Statut: ppublish

Résumé

Guidelines do not recommend transplanting hepatitis C virus (HCV)-infected livers into HCV-uninfected recipients. Direct-acting antivirals (DAAs) can be used to treat donor-derived HCV infection. However, the added cost of DAA therapy is a barrier. We evaluated the cost effectiveness of transplanting HCV-positive livers into HCV-negative patients with preemptive DAA therapy. A previously validated Markov-based mathematical model was adapted to simulate a virtual trial of HCV-negative patients on the liver transplant waitlist. The model compared long-term clinical and economic outcomes in patients willing to accept only HCV-negative livers vs those willing to accept any liver (HCV negative or HCV positive). Recipients of HCV-positive livers received 12 weeks of preemptive DAA therapy. The model incorporated data from the United Network for Organ Sharing and published sources. For patients with a model for end-stage liver disease (MELD) score ≥ 22, accepting any liver vs waiting for only HCV-negative livers was cost effective, with incremental cost-effectiveness ratios ranging from $56,100 to $91,700/quality-adjusted life-year. For patients with a MELD score of 28 (the median MELD score of patients undergoing transplantation in the United States), accepting any liver was cost effective at an incremental cost-effectiveness ratio of $62,600/quality-adjusted life year. In patients with low MELD scores, which may not accurately reflect disease severity, accepting any liver was cost effective, irrespective of MELD score. Using a Markov-based mathematical model, we found transplanting HCV-positive livers into HCV-negative patients with preemptive DAA therapy to be a cost-effective strategy that could improve health outcomes.

Sections du résumé

BACKGROUND & AIMS
Guidelines do not recommend transplanting hepatitis C virus (HCV)-infected livers into HCV-uninfected recipients. Direct-acting antivirals (DAAs) can be used to treat donor-derived HCV infection. However, the added cost of DAA therapy is a barrier. We evaluated the cost effectiveness of transplanting HCV-positive livers into HCV-negative patients with preemptive DAA therapy.
METHODS
A previously validated Markov-based mathematical model was adapted to simulate a virtual trial of HCV-negative patients on the liver transplant waitlist. The model compared long-term clinical and economic outcomes in patients willing to accept only HCV-negative livers vs those willing to accept any liver (HCV negative or HCV positive). Recipients of HCV-positive livers received 12 weeks of preemptive DAA therapy. The model incorporated data from the United Network for Organ Sharing and published sources.
RESULTS
For patients with a model for end-stage liver disease (MELD) score ≥ 22, accepting any liver vs waiting for only HCV-negative livers was cost effective, with incremental cost-effectiveness ratios ranging from $56,100 to $91,700/quality-adjusted life-year. For patients with a MELD score of 28 (the median MELD score of patients undergoing transplantation in the United States), accepting any liver was cost effective at an incremental cost-effectiveness ratio of $62,600/quality-adjusted life year. In patients with low MELD scores, which may not accurately reflect disease severity, accepting any liver was cost effective, irrespective of MELD score.
CONCLUSIONS
Using a Markov-based mathematical model, we found transplanting HCV-positive livers into HCV-negative patients with preemptive DAA therapy to be a cost-effective strategy that could improve health outcomes.

Identifiants

pubmed: 30138735
pii: S1542-3565(18)30880-2
doi: 10.1016/j.cgh.2018.08.042
pmc: PMC6382534
mid: NIHMS1504283
pii:
doi:

Substances chimiques

Antiviral Agents 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

739-747.e8

Subventions

Organisme : NIDDK NIH HHS
ID : K24 DK078772
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK056338
Pays : United States

Informations de copyright

Copyright © 2019 AGA Institute. Published by Elsevier Inc. All rights reserved.

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Auteurs

Emily D Bethea (ED)

Institute for Technology Assessment, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Liver Center and Gastrointestinal Division, Massachusetts General Hospital, Boston, Massachusetts.

Sumeyye Samur (S)

Institute for Technology Assessment, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.

Fasiha Kanwal (F)

Department of Medicine, Gastroenterology and Hepatology, Baylor College of Medicine, Houston, Texas; Houston Veterans Affairs Health Services Research and Development Center of Excellence, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas.

Turgay Ayer (T)

Department of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia.

Chin Hur (C)

Institute for Technology Assessment, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Liver Center and Gastrointestinal Division, Massachusetts General Hospital, Boston, Massachusetts.

Mark S Roberts (MS)

Department of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania; University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Norah Terrault (N)

University of California San Francisco Medical Center, Gastroenterology and Hepatology Division, San Francisco, California.

Raymond T Chung (RT)

Harvard Medical School, Boston, Massachusetts; Liver Center and Gastrointestinal Division, Massachusetts General Hospital, Boston, Massachusetts.

Jagpreet Chhatwal (J)

Institute for Technology Assessment, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Liver Center and Gastrointestinal Division, Massachusetts General Hospital, Boston, Massachusetts. Electronic address: JagChhatwal@mgh.harvard.edu.

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Classifications MeSH