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The SARS-CoV-2 Alpha variant was associated with increased clinical severity of COVID-19 in Scotland: A genomics-based retrospective cohort analysis
OBJECTIVES: The SARS-CoV-2 Alpha variant was associated with increased transmission relative to other variants present at the time of its emergence and several studies have shown an association between Alpha variant infection and increased hospitalisation and 28-day mortality. However, none have add...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101505/ https://www.ncbi.nlm.nih.gov/pubmed/37053201 http://dx.doi.org/10.1371/journal.pone.0284187 |
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author | Pascall, David J. Vink, Elen Blacow, Rachel Bulteel, Naomi Campbell, Alasdair Campbell, Robyn Clifford, Sarah Davis, Chris da Silva Filipe, Ana El Sakka, Noha Fjodorova, Ludmila Forrest, Ruth Goldstein, Emily Gunson, Rory Haughney, John Holden, Matthew T. G. Honour, Patrick Hughes, Joseph James, Edward Lewis, Tim Lycett, Samantha MacLean, Oscar McHugh, Martin Mollett, Guy Onishi, Yusuke Parcell, Ben Ray, Surajit Robertson, David L. Shabaan, Sharif Shepherd, James G. Smollett, Katherine Templeton, Kate Wastnedge, Elizabeth Wilkie, Craig Williams, Thomas Thomson, Emma C. |
author_facet | Pascall, David J. Vink, Elen Blacow, Rachel Bulteel, Naomi Campbell, Alasdair Campbell, Robyn Clifford, Sarah Davis, Chris da Silva Filipe, Ana El Sakka, Noha Fjodorova, Ludmila Forrest, Ruth Goldstein, Emily Gunson, Rory Haughney, John Holden, Matthew T. G. Honour, Patrick Hughes, Joseph James, Edward Lewis, Tim Lycett, Samantha MacLean, Oscar McHugh, Martin Mollett, Guy Onishi, Yusuke Parcell, Ben Ray, Surajit Robertson, David L. Shabaan, Sharif Shepherd, James G. Smollett, Katherine Templeton, Kate Wastnedge, Elizabeth Wilkie, Craig Williams, Thomas Thomson, Emma C. |
author_sort | Pascall, David J. |
collection | PubMed |
description | OBJECTIVES: The SARS-CoV-2 Alpha variant was associated with increased transmission relative to other variants present at the time of its emergence and several studies have shown an association between Alpha variant infection and increased hospitalisation and 28-day mortality. However, none have addressed the impact on maximum severity of illness in the general population classified by the level of respiratory support required, or death. We aimed to do this. METHODS: In this retrospective multi-centre clinical cohort sub-study of the COG-UK consortium, 1475 samples from Scottish hospitalised and community cases collected between 1(st) November 2020 and 30(th) January 2021 were sequenced. We matched sequence data to clinical outcomes as the Alpha variant became dominant in Scotland and modelled the association between Alpha variant infection and severe disease using a 4-point scale of maximum severity by 28 days: 1. no respiratory support, 2. supplemental oxygen, 3. ventilation and 4. death. RESULTS: Our cumulative generalised linear mixed model analyses found evidence (cumulative odds ratio: 1.40, 95% CI: 1.02, 1.93) of a positive association between increased clinical severity and lineage (Alpha variant versus pre-Alpha variants). CONCLUSIONS: The Alpha variant was associated with more severe clinical disease in the Scottish population than co-circulating lineages. |
format | Online Article Text |
id | pubmed-10101505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-101015052023-04-14 The SARS-CoV-2 Alpha variant was associated with increased clinical severity of COVID-19 in Scotland: A genomics-based retrospective cohort analysis Pascall, David J. Vink, Elen Blacow, Rachel Bulteel, Naomi Campbell, Alasdair Campbell, Robyn Clifford, Sarah Davis, Chris da Silva Filipe, Ana El Sakka, Noha Fjodorova, Ludmila Forrest, Ruth Goldstein, Emily Gunson, Rory Haughney, John Holden, Matthew T. G. Honour, Patrick Hughes, Joseph James, Edward Lewis, Tim Lycett, Samantha MacLean, Oscar McHugh, Martin Mollett, Guy Onishi, Yusuke Parcell, Ben Ray, Surajit Robertson, David L. Shabaan, Sharif Shepherd, James G. Smollett, Katherine Templeton, Kate Wastnedge, Elizabeth Wilkie, Craig Williams, Thomas Thomson, Emma C. PLoS One Research Article OBJECTIVES: The SARS-CoV-2 Alpha variant was associated with increased transmission relative to other variants present at the time of its emergence and several studies have shown an association between Alpha variant infection and increased hospitalisation and 28-day mortality. However, none have addressed the impact on maximum severity of illness in the general population classified by the level of respiratory support required, or death. We aimed to do this. METHODS: In this retrospective multi-centre clinical cohort sub-study of the COG-UK consortium, 1475 samples from Scottish hospitalised and community cases collected between 1(st) November 2020 and 30(th) January 2021 were sequenced. We matched sequence data to clinical outcomes as the Alpha variant became dominant in Scotland and modelled the association between Alpha variant infection and severe disease using a 4-point scale of maximum severity by 28 days: 1. no respiratory support, 2. supplemental oxygen, 3. ventilation and 4. death. RESULTS: Our cumulative generalised linear mixed model analyses found evidence (cumulative odds ratio: 1.40, 95% CI: 1.02, 1.93) of a positive association between increased clinical severity and lineage (Alpha variant versus pre-Alpha variants). CONCLUSIONS: The Alpha variant was associated with more severe clinical disease in the Scottish population than co-circulating lineages. Public Library of Science 2023-04-13 /pmc/articles/PMC10101505/ /pubmed/37053201 http://dx.doi.org/10.1371/journal.pone.0284187 Text en © 2023 Pascall et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Pascall, David J. Vink, Elen Blacow, Rachel Bulteel, Naomi Campbell, Alasdair Campbell, Robyn Clifford, Sarah Davis, Chris da Silva Filipe, Ana El Sakka, Noha Fjodorova, Ludmila Forrest, Ruth Goldstein, Emily Gunson, Rory Haughney, John Holden, Matthew T. G. Honour, Patrick Hughes, Joseph James, Edward Lewis, Tim Lycett, Samantha MacLean, Oscar McHugh, Martin Mollett, Guy Onishi, Yusuke Parcell, Ben Ray, Surajit Robertson, David L. Shabaan, Sharif Shepherd, James G. Smollett, Katherine Templeton, Kate Wastnedge, Elizabeth Wilkie, Craig Williams, Thomas Thomson, Emma C. The SARS-CoV-2 Alpha variant was associated with increased clinical severity of COVID-19 in Scotland: A genomics-based retrospective cohort analysis |
title | The SARS-CoV-2 Alpha variant was associated with increased clinical severity of COVID-19 in Scotland: A genomics-based retrospective cohort analysis |
title_full | The SARS-CoV-2 Alpha variant was associated with increased clinical severity of COVID-19 in Scotland: A genomics-based retrospective cohort analysis |
title_fullStr | The SARS-CoV-2 Alpha variant was associated with increased clinical severity of COVID-19 in Scotland: A genomics-based retrospective cohort analysis |
title_full_unstemmed | The SARS-CoV-2 Alpha variant was associated with increased clinical severity of COVID-19 in Scotland: A genomics-based retrospective cohort analysis |
title_short | The SARS-CoV-2 Alpha variant was associated with increased clinical severity of COVID-19 in Scotland: A genomics-based retrospective cohort analysis |
title_sort | sars-cov-2 alpha variant was associated with increased clinical severity of covid-19 in scotland: a genomics-based retrospective cohort analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101505/ https://www.ncbi.nlm.nih.gov/pubmed/37053201 http://dx.doi.org/10.1371/journal.pone.0284187 |
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