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Monitoring the hepatitis C epidemic in England and evaluating intervention scale‐up using routinely collected data

In England, 160 000 individuals were estimated to be chronically infected with hepatitis C virus (HCV) in 2005 and the burden of severe HCV‐related liver disease has increased steadily for the past 15 years. Direct‐acting antiviral treatments can clear infection in most patients, motivating HCV elim...

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Autores principales: Harris, Ross J., Harris, Helen E., Mandal, Sema, Ramsay, Mary, Vickerman, Peter, Hickman, Matthew, De Angelis, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518935/
https://www.ncbi.nlm.nih.gov/pubmed/30663179
http://dx.doi.org/10.1111/jvh.13063
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author Harris, Ross J.
Harris, Helen E.
Mandal, Sema
Ramsay, Mary
Vickerman, Peter
Hickman, Matthew
De Angelis, Daniela
author_facet Harris, Ross J.
Harris, Helen E.
Mandal, Sema
Ramsay, Mary
Vickerman, Peter
Hickman, Matthew
De Angelis, Daniela
author_sort Harris, Ross J.
collection PubMed
description In England, 160 000 individuals were estimated to be chronically infected with hepatitis C virus (HCV) in 2005 and the burden of severe HCV‐related liver disease has increased steadily for the past 15 years. Direct‐acting antiviral treatments can clear infection in most patients, motivating HCV elimination targets. However, the current burden of HCV is unknown and new methods are required to monitor progress. We employed a Bayesian back‐calculation approach, combining data on severe HCV‐related liver disease and disease progression, to reconstruct historical HCV incidence and estimate current prevalence in England. We explicitly modelled infections occurring in people who inject drugs, the key risk group, allowing information on the size of this population and surveillance data on HCV prevalence to inform recent incidence. We estimated that there were 143 000 chronic infections in 2015 (95% credible interval 123 000‐161 000), with 34% and 54% in those with recent and past injecting drug use, respectively. Following the planned scale‐up of new treatments, chronic infections were predicted to fall to 113 400 (94 900‐132 400) by the end of 2018 and to 89 500 (71 300‐108 600) by the end of 2020. Numbers developing severe HCV‐related liver disease were predicted to fall by at least 24% from 2015 to 2020. Thus, we describe a coherent framework to monitor progress using routinely collected data, which can be extended to incorporate additional data sources. Planned treatment scale‐up is likely to achieve 2020 WHO targets for HCV morbidity, but substantial efforts will be required to ensure that HCV testing and patient engagement are sufficiently high.
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spelling pubmed-65189352019-05-21 Monitoring the hepatitis C epidemic in England and evaluating intervention scale‐up using routinely collected data Harris, Ross J. Harris, Helen E. Mandal, Sema Ramsay, Mary Vickerman, Peter Hickman, Matthew De Angelis, Daniela J Viral Hepat Original Articles In England, 160 000 individuals were estimated to be chronically infected with hepatitis C virus (HCV) in 2005 and the burden of severe HCV‐related liver disease has increased steadily for the past 15 years. Direct‐acting antiviral treatments can clear infection in most patients, motivating HCV elimination targets. However, the current burden of HCV is unknown and new methods are required to monitor progress. We employed a Bayesian back‐calculation approach, combining data on severe HCV‐related liver disease and disease progression, to reconstruct historical HCV incidence and estimate current prevalence in England. We explicitly modelled infections occurring in people who inject drugs, the key risk group, allowing information on the size of this population and surveillance data on HCV prevalence to inform recent incidence. We estimated that there were 143 000 chronic infections in 2015 (95% credible interval 123 000‐161 000), with 34% and 54% in those with recent and past injecting drug use, respectively. Following the planned scale‐up of new treatments, chronic infections were predicted to fall to 113 400 (94 900‐132 400) by the end of 2018 and to 89 500 (71 300‐108 600) by the end of 2020. Numbers developing severe HCV‐related liver disease were predicted to fall by at least 24% from 2015 to 2020. Thus, we describe a coherent framework to monitor progress using routinely collected data, which can be extended to incorporate additional data sources. Planned treatment scale‐up is likely to achieve 2020 WHO targets for HCV morbidity, but substantial efforts will be required to ensure that HCV testing and patient engagement are sufficiently high. John Wiley and Sons Inc. 2019-02-28 2019-05 /pmc/articles/PMC6518935/ /pubmed/30663179 http://dx.doi.org/10.1111/jvh.13063 Text en © 2019 The Authors. Journal of Viral Hepatitis Published by John Wiley & Sons This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Harris, Ross J.
Harris, Helen E.
Mandal, Sema
Ramsay, Mary
Vickerman, Peter
Hickman, Matthew
De Angelis, Daniela
Monitoring the hepatitis C epidemic in England and evaluating intervention scale‐up using routinely collected data
title Monitoring the hepatitis C epidemic in England and evaluating intervention scale‐up using routinely collected data
title_full Monitoring the hepatitis C epidemic in England and evaluating intervention scale‐up using routinely collected data
title_fullStr Monitoring the hepatitis C epidemic in England and evaluating intervention scale‐up using routinely collected data
title_full_unstemmed Monitoring the hepatitis C epidemic in England and evaluating intervention scale‐up using routinely collected data
title_short Monitoring the hepatitis C epidemic in England and evaluating intervention scale‐up using routinely collected data
title_sort monitoring the hepatitis c epidemic in england and evaluating intervention scale‐up using routinely collected data
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518935/
https://www.ncbi.nlm.nih.gov/pubmed/30663179
http://dx.doi.org/10.1111/jvh.13063
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