Assessment of mortality and hospital admissions associated with confirmed infection with SARS-CoV-2 Alpha variant: a matched cohort and time-to-event analysis, England, October to December 2020.


Journal

Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin
ISSN: 1560-7917
Titre abrégé: Euro Surveill
Pays: Sweden
ID NLM: 100887452

Informations de publication

Date de publication:
05 2022
Historique:
entrez: 20 5 2022
pubmed: 21 5 2022
medline: 24 5 2022
Statut: ppublish

Résumé

BackgroundThe emergence of the SARS-CoV-2 Alpha variant in England coincided with a rapid increase in the number of PCR-confirmed COVID-19 cases in areas where the variant was concentrated.AimOur aim was to assess whether infection with Alpha was associated with more severe clinical outcomes than the wild type.MethodsLaboratory-confirmed infections with genomically sequenced SARS-CoV-2 Alpha and wild type between October and December 2020 were linked to routine healthcare and surveillance datasets. We conducted two statistical analyses to compare the risk of hospital admission and death within 28 days of testing between Alpha and wild-type infections: a matched cohort study and an adjusted Cox proportional hazards model. We assessed differences in disease severity by comparing hospital admission and mortality, including length of hospitalisation and time to death.ResultsOf 63,609 COVID-19 cases sequenced in England between October and December 2020, 6,038 had the Alpha variant. In the matched cohort analysis, we matched 2,821 cases with Alpha to 2,821 to cases with wild type. In the time-to-event analysis, we observed a 34% increased risk in hospitalisation associated with Alpha compared with wild type, but no significant difference in the risk of mortality.ConclusionWe found evidence of increased risk of hospitalisation after adjusting for key confounders, suggesting increased infection severity associated with the Alpha variant. Rapid assessments of the relative morbidity in terms of clinical outcomes and mortality associated with emerging SARS-CoV-2 variants compared with dominant variants are required to assess overall impact of SARS-CoV-2 mutations.

Identifiants

pubmed: 35593163
doi: 10.2807/1560-7917.ES.2022.27.20.2100377
pmc: PMC9121661
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Medical Research Council
ID : MC_PC_19027
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/L015080/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/T030062/1
Pays : United Kingdom

Références

Microb Genom. 2016 Sep 20;2(9):e000086
pubmed: 28785418
BMJ. 2021 Mar 9;372:n579
pubmed: 33687922
Nature. 2021 May;593(7858):270-274
pubmed: 33723411
Nature. 2021 May;593(7858):266-269
pubmed: 33767447

Auteurs

Gavin Dabrera (G)

National Infection Service, Public Health England, London, United Kingdom.

Hester Allen (H)

National Infection Service, Public Health England, London, United Kingdom.

Asad Zaidi (A)

National Infection Service, Public Health England, London, United Kingdom.

Joe Flannagan (J)

National Infection Service, Public Health England, London, United Kingdom.

Katherine Twohig (K)

National Infection Service, Public Health England, London, United Kingdom.

Simon Thelwall (S)

National Infection Service, Public Health England, London, United Kingdom.

Elizabeth Marchant (E)

National Infection Service, Public Health England, London, United Kingdom.

Nurin Abdul Aziz (NA)

National Infection Service, Public Health England, London, United Kingdom.

Theresa Lamagni (T)

National Infection Service, Public Health England, London, United Kingdom.

Richard Myers (R)

National Infection Service, Public Health England, London, United Kingdom.

André Charlett (A)

National Infection Service, Public Health England, London, United Kingdom.

Fernando Capelastegui (F)

National Infection Service, Public Health England, London, United Kingdom.

Dimple Chudasama (D)

National Infection Service, Public Health England, London, United Kingdom.

Tom Clare (T)

National Infection Service, Public Health England, London, United Kingdom.

Flavien Coukan (F)

National Infection Service, Public Health England, London, United Kingdom.

Mary Sinnathamby (M)

National Infection Service, Public Health England, London, United Kingdom.

Neil Ferguson (N)

MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, St Mary's Campus, London, United Kingdom.

Susan Hopkins (S)

National Infection Service, Public Health England, London, United Kingdom.

Meera Chand (M)

National Infection Service, Public Health England, London, United Kingdom.

Russell Hope (R)

National Infection Service, Public Health England, London, United Kingdom.

Meaghan Kall (M)

National Infection Service, Public Health England, London, United Kingdom.
https://www.cogconsortium.uk.

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Classifications MeSH