Abstract

The Omicron variant of SARS-CoV-2 became the globally dominant variant in early 2022. A sub-lineage of the Omicron variant (BA.2) was identified in England in January 2022. Here, we investigated hospitalisation and mortality risks of COVID-19 cases with the Omicron sub-lineage BA.2 (n = 258,875) compared to BA.1 (n = 984,337) in a large cohort study in England. We estimated the risk of hospital attendance, hospital admission or death using multivariable stratified proportional hazards regression models. After adjustment for confounders, BA.2 cases had lower or similar risks of death (HR = 0.80, 95% CI 0.71–0.90), hospital admission (HR = 0.88, 95% CI 0.83–0.94) and any hospital attendance (HR = 0.98, 95% CI 0.95–1.01). These findings that the risk of severe outcomes following infection with BA.2 SARS-CoV-2 was slightly lower or equivalent to the BA.1 sub-lineage can inform public health strategies in countries where BA.2 is spreading.

In this cohort study, the authors investigate the risk of severe outcomes following infection from Omicron BA.1 and BA.2 sub-lineages. Using whole genome sequencing and electronic health record data for ~980,000 BA.1 and ~250,000 BA.2 cases in England, they find a slightly lower risk of death and hospitalisation associated with BA.2.

Details

Title
Hospitalisation and mortality risk of SARS-COV-2 variant omicron sub-lineage BA.2 compared to BA.1 in England
Author
Webster, H. H. 1 ; Nyberg, T. 2   VIAFID ORCID Logo  ; Sinnathamby, M. A. 1 ; Aziz, N. Abdul 1 ; Ferguson, N. 3   VIAFID ORCID Logo  ; Seghezzo, G. 1   VIAFID ORCID Logo  ; Blomquist, P. B. 4 ; Bridgen, J. 4 ; Chand, M. 5 ; Groves, N. 5 ; Myers, R. 5 ; Hope, R. 1 ; Ashano, E. 6 ; Lopez-Bernal, J. 7   VIAFID ORCID Logo  ; De Angelis, D. 8 ; Dabrera, G. 1   VIAFID ORCID Logo  ; Presanis, A. M. 2 ; Thelwall, S. 1   VIAFID ORCID Logo 

 UKHSA COVID-19 National Epidemiology Cell, London, UK (GRID:grid.515304.6) (ISNI:0000 0005 0421 4601) 
 University of Cambridge, MRC Biostatistics Unit, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934) 
 Imperial College London, NIHR Health Protection Research Unit for Modelling and Health Economics, MRC Centre for Global Infectious Disease Analysis, Jameel Institute, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111) 
 UKHSA Outbreak Surveillance Team, London, UK (GRID:grid.515304.6) (ISNI:0000 0005 0421 4601) 
 UKHSA Genomics and Public Health Analysis, London, UK (GRID:grid.515304.6) (ISNI:0000 0005 0421 4601) 
 UKHSA HCAI, Fungal, AMR, AMU & Sepsis Division, London, UK (GRID:grid.515304.6) (ISNI:0000 0005 0421 4601) 
 UKHSA COVID-19 Surveillance Cell, London, UK (GRID:grid.515304.6) (ISNI:0000 0005 0421 4601); NIHR Health Protection Research Unit for Respiratory Infections, London, UK (GRID:grid.451056.3) (ISNI:0000 0001 2116 3923) 
 University of Cambridge, MRC Biostatistics Unit, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934); UKHSA Statistics, Modelling and Economics Department, London, UK (GRID:grid.515304.6) (ISNI:0000 0005 0421 4601); UKHSA Joint Modelling Team, London, UK (GRID:grid.515304.6) (ISNI:0000 0005 0421 4601); NIHR Health Protection Research Unit for Behavioural Science and Evaluation, Bristol, UK (GRID:grid.515304.6) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2724429920
Copyright
© Crown 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.