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Impact of COVID-19 on global HCV elimination efforts
BACKGROUND & AIMS: Coronavirus disease 2019 (COVID-19) has placed a significant strain on national healthcare systems at a critical moment in the context of hepatitis elimination. Mathematical models can be used to evaluate the possible impact of programmatic delays on hepatitis disease burden....
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Association for the Study of the Liver. Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411379/ https://www.ncbi.nlm.nih.gov/pubmed/32777322 http://dx.doi.org/10.1016/j.jhep.2020.07.042 |
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author | Blach, Sarah Kondili, Loreta A. Aghemo, Alessio Cai, Zongzhen Dugan, Ellen Estes, Chris Gamkrelidze, Ivane Ma, Siya Pawlotsky, Jean-Michel Razavi-Shearer, Devin Razavi, Homie Waked, Imam Zeuzem, Stefan Craxi, Antonio |
author_facet | Blach, Sarah Kondili, Loreta A. Aghemo, Alessio Cai, Zongzhen Dugan, Ellen Estes, Chris Gamkrelidze, Ivane Ma, Siya Pawlotsky, Jean-Michel Razavi-Shearer, Devin Razavi, Homie Waked, Imam Zeuzem, Stefan Craxi, Antonio |
author_sort | Blach, Sarah |
collection | PubMed |
description | BACKGROUND & AIMS: Coronavirus disease 2019 (COVID-19) has placed a significant strain on national healthcare systems at a critical moment in the context of hepatitis elimination. Mathematical models can be used to evaluate the possible impact of programmatic delays on hepatitis disease burden. The objective of this analysis was to evaluate the incremental change in HCV liver-related deaths and liver cancer, following a 3-month, 6-month, or 1-year hiatus in hepatitis elimination programs. METHODS: Previously developed models were adapted for 110 countries to include a status quo or ‘no delay’ scenario and a ‘1-year delay’ scenario assuming significant disruption in interventions (screening, diagnosis, and treatment) in the year 2020. Annual country-level model outcomes were extracted, and weighted averages were used to calculate regional (WHO and World Bank Income Group) and global estimates from 2020 to 2030. The incremental annual change in outcomes was calculated by subtracting the ‘no-delay’ estimates from the ‘1-year delay’ estimates. RESULTS: The ‘1-year delay’ scenario resulted in 44,800 (95% uncertainty interval [UI]: 43,800–49,300) excess hepatocellular carcinoma cases and 72,300 (95% UI: 70,600–79,400) excess liver-related deaths, relative to the ‘no-delay’ scenario globally, from 2020 to 2030. Most missed treatments would be in lower-middle income countries, whereas most excess hepatocellular carcinoma and liver-related deaths would be among high-income countries. CONCLUSIONS: The impact of COVID-19 extends beyond the direct morbidity and mortality associated with exposure and infection. To mitigate the impact on viral hepatitis programming and reduce excess mortality from delayed treatment, policy makers should prioritize hepatitis programs as soon as it becomes safe to do so. LAY SUMMARY: COVID-19 has resulted in many hepatitis elimination programs slowing or stopping altogether. A 1-year delay in hepatitis diagnosis and treatment could result in an additional 44,800 liver cancers and 72,300 deaths from HCV globally by 2030. Countries have committed to hepatitis elimination by 2030, so attention should shift back to hepatitis programming as soon as it becomes appropriate to do so. |
format | Online Article Text |
id | pubmed-7411379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | European Association for the Study of the Liver. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74113792020-08-07 Impact of COVID-19 on global HCV elimination efforts Blach, Sarah Kondili, Loreta A. Aghemo, Alessio Cai, Zongzhen Dugan, Ellen Estes, Chris Gamkrelidze, Ivane Ma, Siya Pawlotsky, Jean-Michel Razavi-Shearer, Devin Razavi, Homie Waked, Imam Zeuzem, Stefan Craxi, Antonio J Hepatol Research Article BACKGROUND & AIMS: Coronavirus disease 2019 (COVID-19) has placed a significant strain on national healthcare systems at a critical moment in the context of hepatitis elimination. Mathematical models can be used to evaluate the possible impact of programmatic delays on hepatitis disease burden. The objective of this analysis was to evaluate the incremental change in HCV liver-related deaths and liver cancer, following a 3-month, 6-month, or 1-year hiatus in hepatitis elimination programs. METHODS: Previously developed models were adapted for 110 countries to include a status quo or ‘no delay’ scenario and a ‘1-year delay’ scenario assuming significant disruption in interventions (screening, diagnosis, and treatment) in the year 2020. Annual country-level model outcomes were extracted, and weighted averages were used to calculate regional (WHO and World Bank Income Group) and global estimates from 2020 to 2030. The incremental annual change in outcomes was calculated by subtracting the ‘no-delay’ estimates from the ‘1-year delay’ estimates. RESULTS: The ‘1-year delay’ scenario resulted in 44,800 (95% uncertainty interval [UI]: 43,800–49,300) excess hepatocellular carcinoma cases and 72,300 (95% UI: 70,600–79,400) excess liver-related deaths, relative to the ‘no-delay’ scenario globally, from 2020 to 2030. Most missed treatments would be in lower-middle income countries, whereas most excess hepatocellular carcinoma and liver-related deaths would be among high-income countries. CONCLUSIONS: The impact of COVID-19 extends beyond the direct morbidity and mortality associated with exposure and infection. To mitigate the impact on viral hepatitis programming and reduce excess mortality from delayed treatment, policy makers should prioritize hepatitis programs as soon as it becomes safe to do so. LAY SUMMARY: COVID-19 has resulted in many hepatitis elimination programs slowing or stopping altogether. A 1-year delay in hepatitis diagnosis and treatment could result in an additional 44,800 liver cancers and 72,300 deaths from HCV globally by 2030. Countries have committed to hepatitis elimination by 2030, so attention should shift back to hepatitis programming as soon as it becomes appropriate to do so. European Association for the Study of the Liver. Published by Elsevier B.V. 2021-01 2020-08-07 /pmc/articles/PMC7411379/ /pubmed/32777322 http://dx.doi.org/10.1016/j.jhep.2020.07.042 Text en © 2020 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Research Article Blach, Sarah Kondili, Loreta A. Aghemo, Alessio Cai, Zongzhen Dugan, Ellen Estes, Chris Gamkrelidze, Ivane Ma, Siya Pawlotsky, Jean-Michel Razavi-Shearer, Devin Razavi, Homie Waked, Imam Zeuzem, Stefan Craxi, Antonio Impact of COVID-19 on global HCV elimination efforts |
title | Impact of COVID-19 on global HCV elimination efforts |
title_full | Impact of COVID-19 on global HCV elimination efforts |
title_fullStr | Impact of COVID-19 on global HCV elimination efforts |
title_full_unstemmed | Impact of COVID-19 on global HCV elimination efforts |
title_short | Impact of COVID-19 on global HCV elimination efforts |
title_sort | impact of covid-19 on global hcv elimination efforts |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411379/ https://www.ncbi.nlm.nih.gov/pubmed/32777322 http://dx.doi.org/10.1016/j.jhep.2020.07.042 |
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