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The SARS-CoV-2 Alpha variant is associated with increased clinical severity of disease
David J Pascall; Elen Vink; Rachel Blacow; Naomi Bulteel; Robyn Campbell; Alasdair Campbell; Sarah Clifford; Chris Davis; Ana da Silva Filipe; Noha El Sakka; Ludmila Fjodorova; Ruth Forrest; Emily Goldstein; Rory Gunson; John Haughney; Matthew TG Holden; Patrick Honour; Joseph Hughes; Edward James; Tim Lewis; Samantha J Lycett; Oscar MacLean; Martin McHugh; Guy Mollett; Yusuke Onishi; Ben Parcell; Surajit Ray; David L Robertson; Sharif Shabaan; James G Shepherd; Katherine Smollett; Kate Templeton; Elizabeth Westnedge; Craig Wilkie; Thomas Williams; - The COVID-19 Genomics UK (COG-UK) consortium; Emma C Thomson.
Afiliación
  • David J Pascall; MRC Biostatistics Unit, University of Cambridge
  • Elen Vink; MRC-University of Glasgow Centre for Virus Research
  • Rachel Blacow; MRC-University of Glasgow Centre for Virus Research
  • Naomi Bulteel; NHS Fife
  • Robyn Campbell; NHS Lothian
  • Alasdair Campbell; NHS Lothian
  • Sarah Clifford; NHS Lothian
  • Chris Davis; MRC-University of Glasgow Centre for Virus Research
  • Ana da Silva Filipe; MRC-University of Glasgow Centre for Virus Research
  • Noha El Sakka; NHS Grampian
  • Ludmila Fjodorova; NHS Greater Glasgow and Clyde
  • Ruth Forrest; NHS Fife
  • Emily Goldstein; NHS Greater Glasgow and Clyde
  • Rory Gunson; NHS Greater Glasgow and Clyde
  • John Haughney; NHS Greater Glasgow and Clyde
  • Matthew TG Holden; Public Health Scotland
  • Patrick Honour; NHS Borders
  • Joseph Hughes; MRC-University of Glasgow Centre for Virus Research
  • Edward James; NHS Borders
  • Tim Lewis; NHS Lothian
  • Samantha J Lycett; University of Edinburgh
  • Oscar MacLean; MRC-University of Glasgow Centre for Virus Research
  • Martin McHugh; NHS Lothian
  • Guy Mollett; MRC-University of Glasgow Center for Virus Research
  • Yusuke Onishi; NHS Grampian
  • Ben Parcell; University of Dundee
  • Surajit Ray; University of Glasgow
  • David L Robertson; MRC-University of Glasgow Centre for Virus Research
  • Sharif Shabaan; Public Health Scotland
  • James G Shepherd; MRC-University of Glasgow Centre for Virus Research
  • Katherine Smollett; MRC-University of Glasgow Centre for Virus Research
  • Kate Templeton; NHS Lothian
  • Elizabeth Westnedge; University of Edinburgh
  • Craig Wilkie; University of Glasgow
  • Thomas Williams; University of Edinburgh
  • - The COVID-19 Genomics UK (COG-UK) consortium;
  • Emma C Thomson; MRC-University of Glasgow Centre for Virus Research
Preprint en Inglés | medRxiv | ID: ppmedrxiv-21260128
ABSTRACT
ObjectivesThe 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. MethodsIn this retrospective multi-centre clinical cohort sub-study of the COG-UK consortium, 1475 samples from Scottish hospitalised and community cases collected between 1st November 2020 and 30th January 2021 were sequenced. We matched sequence data to clinical outcomes as the 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. ResultsOur 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 non-Alpha variant). ConclusionsThe Alpha variant was associated with more severe clinical disease in the Scottish population than co-circulating lineages.
Licencia
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Texto completo: Disponible Colección: Preprints Base de datos: medRxiv Tipo de estudio: Cohort_studies / Estudio observacional / Estudio pronóstico Idioma: Inglés Año: 2021 Tipo del documento: Preprint
Texto completo: Disponible Colección: Preprints Base de datos: medRxiv Tipo de estudio: Cohort_studies / Estudio observacional / Estudio pronóstico Idioma: Inglés Año: 2021 Tipo del documento: Preprint
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