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Modeling the Health and Economic Burden of Hepatitis C Virus in Switzerland

BACKGROUND: Chronic hepatitis C virus infection is a major cause of liver disease in Switzerland and carries a significant cost burden. Currently, only conservative strategies are in place to mitigate the burden of hepatitis C in Switzerland. This study expands on previously described modeling effor...

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Autores principales: Müllhaupt, Beat, Bruggmann, Philip, Bihl, Florian, Blach, Sarah, Lavanchy, Daniel, Razavi, Homie, Semela, David, Negro, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4480969/
https://www.ncbi.nlm.nih.gov/pubmed/26107467
http://dx.doi.org/10.1371/journal.pone.0125214
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author Müllhaupt, Beat
Bruggmann, Philip
Bihl, Florian
Blach, Sarah
Lavanchy, Daniel
Razavi, Homie
Semela, David
Negro, Francesco
author_facet Müllhaupt, Beat
Bruggmann, Philip
Bihl, Florian
Blach, Sarah
Lavanchy, Daniel
Razavi, Homie
Semela, David
Negro, Francesco
author_sort Müllhaupt, Beat
collection PubMed
description BACKGROUND: Chronic hepatitis C virus infection is a major cause of liver disease in Switzerland and carries a significant cost burden. Currently, only conservative strategies are in place to mitigate the burden of hepatitis C in Switzerland. This study expands on previously described modeling efforts to explore the impact of: no treatment, and treatment to reduce HCC and mortality. Furthermore, the costs associated with untreated HCV were modeled. METHODS: Hepatitis C disease progression and mortality were modeled. Baseline historical assumptions were collected from the literature and expert interviews and strategies were developed to show the impact of different levels of intervention (improved drug cure rates, treatment and diagnosis) until 2030. RESULTS: Under the historical standard of care, the number of advanced stage cases was projected to increase until 2030, at which point the annual economic burden of untreated viremic infections was projected to reach €96.8 (95% Uncertainty Interval: €36 – €232) million. Scenarios to reduce HCV liver-related mortality by 90% by 2030 required treatment of 4,190 ≥F2 or 3,200 ≥F3 patients annually by 2018 using antivirals with a 95% efficacy rate. Delaying the implementation of these scenarios by 2 or 5 years reduced the impact on mortality to 75% and 57%, respectively. CONCLUSIONS: With today’s treatment efficacy and uptake rates, hepatitis C disease burden is expected to increase through 2030. A substantial reduction in disease burden can be achieved by means of both higher efficacy drugs and increased treatment uptake. However, these efforts cannot be undertaken without a simultaneous effort to diagnose more infections.
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spelling pubmed-44809692015-06-29 Modeling the Health and Economic Burden of Hepatitis C Virus in Switzerland Müllhaupt, Beat Bruggmann, Philip Bihl, Florian Blach, Sarah Lavanchy, Daniel Razavi, Homie Semela, David Negro, Francesco PLoS One Research Article BACKGROUND: Chronic hepatitis C virus infection is a major cause of liver disease in Switzerland and carries a significant cost burden. Currently, only conservative strategies are in place to mitigate the burden of hepatitis C in Switzerland. This study expands on previously described modeling efforts to explore the impact of: no treatment, and treatment to reduce HCC and mortality. Furthermore, the costs associated with untreated HCV were modeled. METHODS: Hepatitis C disease progression and mortality were modeled. Baseline historical assumptions were collected from the literature and expert interviews and strategies were developed to show the impact of different levels of intervention (improved drug cure rates, treatment and diagnosis) until 2030. RESULTS: Under the historical standard of care, the number of advanced stage cases was projected to increase until 2030, at which point the annual economic burden of untreated viremic infections was projected to reach €96.8 (95% Uncertainty Interval: €36 – €232) million. Scenarios to reduce HCV liver-related mortality by 90% by 2030 required treatment of 4,190 ≥F2 or 3,200 ≥F3 patients annually by 2018 using antivirals with a 95% efficacy rate. Delaying the implementation of these scenarios by 2 or 5 years reduced the impact on mortality to 75% and 57%, respectively. CONCLUSIONS: With today’s treatment efficacy and uptake rates, hepatitis C disease burden is expected to increase through 2030. A substantial reduction in disease burden can be achieved by means of both higher efficacy drugs and increased treatment uptake. However, these efforts cannot be undertaken without a simultaneous effort to diagnose more infections. Public Library of Science 2015-06-24 /pmc/articles/PMC4480969/ /pubmed/26107467 http://dx.doi.org/10.1371/journal.pone.0125214 Text en © 2015 Müllhaupt et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Müllhaupt, Beat
Bruggmann, Philip
Bihl, Florian
Blach, Sarah
Lavanchy, Daniel
Razavi, Homie
Semela, David
Negro, Francesco
Modeling the Health and Economic Burden of Hepatitis C Virus in Switzerland
title Modeling the Health and Economic Burden of Hepatitis C Virus in Switzerland
title_full Modeling the Health and Economic Burden of Hepatitis C Virus in Switzerland
title_fullStr Modeling the Health and Economic Burden of Hepatitis C Virus in Switzerland
title_full_unstemmed Modeling the Health and Economic Burden of Hepatitis C Virus in Switzerland
title_short Modeling the Health and Economic Burden of Hepatitis C Virus in Switzerland
title_sort modeling the health and economic burden of hepatitis c virus in switzerland
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4480969/
https://www.ncbi.nlm.nih.gov/pubmed/26107467
http://dx.doi.org/10.1371/journal.pone.0125214
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