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Descriptive comparison of admission characteristics between pandemic waves and multivariable analysis of the association of the Alpha variant (B.1.1.7 lineage) of SARS-CoV-2 with disease severity in inner London

BACKGROUND: The Alpha variant (B.1.1.7 lineage) of SARS-CoV-2 emerged and became the dominant circulating variant in the UK in late 2020. Current literature is unclear on whether the Alpha variant is associated with increased severity. We linked clinical data with viral genome sequence data to compa...

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Autores principales: Snell, Luke B, Wang, Wenjuan, Alcolea-Medina, Adela, Charalampous, Themoula, Batra, Rahul, de Jongh, Leonardo, Higgins, Finola, Nebbia, Gaia, Wang, Yanzhong, Edgeworth, Jonathan, Curcin, Vasa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829842/
https://www.ncbi.nlm.nih.gov/pubmed/35135773
http://dx.doi.org/10.1136/bmjopen-2021-055474
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author Snell, Luke B
Wang, Wenjuan
Alcolea-Medina, Adela
Charalampous, Themoula
Batra, Rahul
de Jongh, Leonardo
Higgins, Finola
Nebbia, Gaia
Wang, Yanzhong
Edgeworth, Jonathan
Curcin, Vasa
author_facet Snell, Luke B
Wang, Wenjuan
Alcolea-Medina, Adela
Charalampous, Themoula
Batra, Rahul
de Jongh, Leonardo
Higgins, Finola
Nebbia, Gaia
Wang, Yanzhong
Edgeworth, Jonathan
Curcin, Vasa
author_sort Snell, Luke B
collection PubMed
description BACKGROUND: The Alpha variant (B.1.1.7 lineage) of SARS-CoV-2 emerged and became the dominant circulating variant in the UK in late 2020. Current literature is unclear on whether the Alpha variant is associated with increased severity. We linked clinical data with viral genome sequence data to compare admitted cases between SARS-CoV-2 waves in London and to investigate the association between the Alpha variant and the severity of disease. METHODS: Clinical, demographic, laboratory and viral sequence data from electronic health record systems were collected for all cases with a positive SARS-CoV-2 RNA test between 13 March 2020 and 17 February 2021 in a multisite London healthcare institution. Multivariate analysis using logistic regression assessed risk factors for severity as defined by hypoxia at admission. RESULTS: There were 5810 SARS-CoV-2 RNA-positive cases of which 2341 were admitted (838 in wave 1 and 1503 in wave 2). Both waves had a temporally aligned rise in nosocomial cases (96 in wave 1 and 137 in wave 2). The Alpha variant was first identified on 15 November 2020 and increased rapidly to comprise 400/472 (85%) of sequenced isolates from admitted cases in wave 2. A multivariate analysis identified risk factors for severity on admission, such as age (OR 1.02, 95% CI 1.01 to 1.03, for every year older; p<0.001), obesity (OR 1.70, 95% CI 1.28 to 2.26; p<0.001) and infection with the Alpha variant (OR 1.68, 95% CI 1.26 to 2.24; p<0.001). CONCLUSIONS: Our analysis is the first in hospitalised cohorts to show increased severity of disease associated with the Alpha variant. The number of nosocomial cases was similar in both waves despite the introduction of many infection control interventions before wave 2.
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spelling pubmed-88298422022-02-10 Descriptive comparison of admission characteristics between pandemic waves and multivariable analysis of the association of the Alpha variant (B.1.1.7 lineage) of SARS-CoV-2 with disease severity in inner London Snell, Luke B Wang, Wenjuan Alcolea-Medina, Adela Charalampous, Themoula Batra, Rahul de Jongh, Leonardo Higgins, Finola Nebbia, Gaia Wang, Yanzhong Edgeworth, Jonathan Curcin, Vasa BMJ Open Infectious Diseases BACKGROUND: The Alpha variant (B.1.1.7 lineage) of SARS-CoV-2 emerged and became the dominant circulating variant in the UK in late 2020. Current literature is unclear on whether the Alpha variant is associated with increased severity. We linked clinical data with viral genome sequence data to compare admitted cases between SARS-CoV-2 waves in London and to investigate the association between the Alpha variant and the severity of disease. METHODS: Clinical, demographic, laboratory and viral sequence data from electronic health record systems were collected for all cases with a positive SARS-CoV-2 RNA test between 13 March 2020 and 17 February 2021 in a multisite London healthcare institution. Multivariate analysis using logistic regression assessed risk factors for severity as defined by hypoxia at admission. RESULTS: There were 5810 SARS-CoV-2 RNA-positive cases of which 2341 were admitted (838 in wave 1 and 1503 in wave 2). Both waves had a temporally aligned rise in nosocomial cases (96 in wave 1 and 137 in wave 2). The Alpha variant was first identified on 15 November 2020 and increased rapidly to comprise 400/472 (85%) of sequenced isolates from admitted cases in wave 2. A multivariate analysis identified risk factors for severity on admission, such as age (OR 1.02, 95% CI 1.01 to 1.03, for every year older; p<0.001), obesity (OR 1.70, 95% CI 1.28 to 2.26; p<0.001) and infection with the Alpha variant (OR 1.68, 95% CI 1.26 to 2.24; p<0.001). CONCLUSIONS: Our analysis is the first in hospitalised cohorts to show increased severity of disease associated with the Alpha variant. The number of nosocomial cases was similar in both waves despite the introduction of many infection control interventions before wave 2. BMJ Publishing Group 2022-02-08 /pmc/articles/PMC8829842/ /pubmed/35135773 http://dx.doi.org/10.1136/bmjopen-2021-055474 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Infectious Diseases
Snell, Luke B
Wang, Wenjuan
Alcolea-Medina, Adela
Charalampous, Themoula
Batra, Rahul
de Jongh, Leonardo
Higgins, Finola
Nebbia, Gaia
Wang, Yanzhong
Edgeworth, Jonathan
Curcin, Vasa
Descriptive comparison of admission characteristics between pandemic waves and multivariable analysis of the association of the Alpha variant (B.1.1.7 lineage) of SARS-CoV-2 with disease severity in inner London
title Descriptive comparison of admission characteristics between pandemic waves and multivariable analysis of the association of the Alpha variant (B.1.1.7 lineage) of SARS-CoV-2 with disease severity in inner London
title_full Descriptive comparison of admission characteristics between pandemic waves and multivariable analysis of the association of the Alpha variant (B.1.1.7 lineage) of SARS-CoV-2 with disease severity in inner London
title_fullStr Descriptive comparison of admission characteristics between pandemic waves and multivariable analysis of the association of the Alpha variant (B.1.1.7 lineage) of SARS-CoV-2 with disease severity in inner London
title_full_unstemmed Descriptive comparison of admission characteristics between pandemic waves and multivariable analysis of the association of the Alpha variant (B.1.1.7 lineage) of SARS-CoV-2 with disease severity in inner London
title_short Descriptive comparison of admission characteristics between pandemic waves and multivariable analysis of the association of the Alpha variant (B.1.1.7 lineage) of SARS-CoV-2 with disease severity in inner London
title_sort descriptive comparison of admission characteristics between pandemic waves and multivariable analysis of the association of the alpha variant (b.1.1.7 lineage) of sars-cov-2 with disease severity in inner london
topic Infectious Diseases
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829842/
https://www.ncbi.nlm.nih.gov/pubmed/35135773
http://dx.doi.org/10.1136/bmjopen-2021-055474
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