Hospital admission and emergency care attendance risk for SARS-CoV-2 delta (B.1.617.2) compared with alpha (B.1.1.7) variants of concern: a cohort study
Hospital admission and emergency care attendance risk for SARS-CoV-2 delta (B.1.617.2) compared with alpha (B.1.1.7) variants of concern: a cohort study
Background: The SARS-CoV-2 delta (B.1.617.2) variant was first detected in England in March, 2021. It has since rapidly become the predominant lineage, owing to high transmissibility. It is suspected that the delta variant is associated with more severe disease than the previously dominant alpha (B.1.1.7) variant. We aimed to characterise the severity of the delta variant compared with the alpha variant by determining the relative risk of hospital attendance outcomes.
Methods: This cohort study was done among all patients with COVID-19 in England between March 29 and May 23, 2021, who were identified as being infected with either the alpha or delta SARS-CoV-2 variant through whole genome sequencing. Individual-level data on these patients were linked to routine health-care datasets on vaccination,emergency care attendance, hospital admission, and mortality (data from Public Health England’s Second Generation Surveillance System and COVID-19-associated deaths dataset; the National Immunisation Management System; and NHS Digital Secondary Uses Services and Emergency Care Data Set). The risk for hospital admission and emergency care attendance were compared between patients with sequencing-confirmed delta and alpha variants for the whole cohort and by vaccination status subgroups. Stratified Cox regression was used to adjust for age, sex, ethnicity,deprivation, recent international travel, area of residence, calendar week, and vaccination status.
Findings: Individual-level data on 43338 COVID-19-positive patients (8682 with the delta variant, 34656 with the alpha variant; median age 31 years [IQR 17–43]) were included in our analysis. 196 (2·3%) patients with the delta variant versus 764 (2·2%) patients with the alpha variant were admitted to hospital within 14 days after the specimen was taken (adjusted hazard ratio [HR] 2·26 [95% CI 1·32–3·89]). 498 (5·7%) patients with the delta variant versus 1448 (4·2%) patients with the alpha variant were admitted to hospital or attended emergency care within 14 days(adjusted HR 1·45 [1·08–1·95]). Most patients were unvaccinated (32 078 [74·0%] across both groups). The HRs for vaccinated patients with the delta variant versus the alpha variant (adjusted HR for hospital admission 1·94 [95% CI0·47–8·05] and for hospital admission or emergency care attendance 1·58 [0·69–3·61]) were similar to the HRs for unvaccinated patients (2·32 [1·29–4·16] and 1·43 [1·04–1·97]; p=0·82 for both) but the precision for the vaccinated subgroup was low.Interpretation This large national study found a higher hospital admission or emergency care attendance risk for patients with COVID-19 infected with the delta variant compared with the alpha variant.
Results: suggest that outbreaks of the delta variant in unvaccinated populations might lead to a greater burden on health-care services than the alpha variant.
35-42
Saeed, Kordo
87cb67e5-71e8-4759-bf23-2ea00ebd8b39
Twohig, Katherine A.
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Nyberg, Tommy
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Zaidi, Asad
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Thelwall, Simon
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Sinnathamby, Mary A.
2d3bb781-f3f7-4a4c-aa16-47f413ac44cf
Aliabadi, Shirin
2a1048aa-ba39-4427-b998-0aa1799b999f
Seaman, Shaun R.
754d4d8d-83ff-4162-a7b3-518cf8030464
Harris, Ross J.
dd410d0d-1256-4f36-b7fd-afd0afbcbbe1
Hope, Russell
84160e74-707e-4a70-aefa-9b2fbc0e8ea3
Lopez-Bernal, Jamie
145245b4-6e3a-473e-b042-54f0dbebbac1
Gallagher, Eileen
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Charlett, Andre
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De Angelis, Daniela
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Presanis, Anne M.
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Dabrera, Gavin
c7e41f32-c835-4c19-8f8f-591314867a20
The COVID-19 Genomics UK (COG-UK) Consortium
January 2022
Saeed, Kordo
87cb67e5-71e8-4759-bf23-2ea00ebd8b39
Twohig, Katherine A.
e545c698-bc20-47dd-af99-c348218b2905
Nyberg, Tommy
8e4d2279-d9a4-43e4-8e11-6f6204b5e74f
Zaidi, Asad
396941a0-852d-4a58-8088-8e0b3b3b87df
Thelwall, Simon
56933889-5c70-4dce-ad61-29abaf9317e4
Sinnathamby, Mary A.
2d3bb781-f3f7-4a4c-aa16-47f413ac44cf
Aliabadi, Shirin
2a1048aa-ba39-4427-b998-0aa1799b999f
Seaman, Shaun R.
754d4d8d-83ff-4162-a7b3-518cf8030464
Harris, Ross J.
dd410d0d-1256-4f36-b7fd-afd0afbcbbe1
Hope, Russell
84160e74-707e-4a70-aefa-9b2fbc0e8ea3
Lopez-Bernal, Jamie
145245b4-6e3a-473e-b042-54f0dbebbac1
Gallagher, Eileen
85298d52-d24c-4555-b885-23f103453a0a
Charlett, Andre
68f80073-88b5-4193-8224-1172d58f2bbf
De Angelis, Daniela
1c423ede-4497-4615-8545-d8528a6067af
Presanis, Anne M.
142e5900-283b-486f-b217-07b48e2e93db
Dabrera, Gavin
c7e41f32-c835-4c19-8f8f-591314867a20
Twohig, Katherine A., Nyberg, Tommy, Zaidi, Asad, Thelwall, Simon, Sinnathamby, Mary A., Aliabadi, Shirin, Seaman, Shaun R., Harris, Ross J., Hope, Russell, Lopez-Bernal, Jamie, Gallagher, Eileen, Charlett, Andre, De Angelis, Daniela, Presanis, Anne M. and Dabrera, Gavin
,
The COVID-19 Genomics UK (COG-UK) Consortium
(2022)
Hospital admission and emergency care attendance risk for SARS-CoV-2 delta (B.1.617.2) compared with alpha (B.1.1.7) variants of concern: a cohort study.
The Lancet Infectious Diseases, 22 (1), .
(doi:10.1016/S1473-3099(21)00475-8).
Abstract
Background: The SARS-CoV-2 delta (B.1.617.2) variant was first detected in England in March, 2021. It has since rapidly become the predominant lineage, owing to high transmissibility. It is suspected that the delta variant is associated with more severe disease than the previously dominant alpha (B.1.1.7) variant. We aimed to characterise the severity of the delta variant compared with the alpha variant by determining the relative risk of hospital attendance outcomes.
Methods: This cohort study was done among all patients with COVID-19 in England between March 29 and May 23, 2021, who were identified as being infected with either the alpha or delta SARS-CoV-2 variant through whole genome sequencing. Individual-level data on these patients were linked to routine health-care datasets on vaccination,emergency care attendance, hospital admission, and mortality (data from Public Health England’s Second Generation Surveillance System and COVID-19-associated deaths dataset; the National Immunisation Management System; and NHS Digital Secondary Uses Services and Emergency Care Data Set). The risk for hospital admission and emergency care attendance were compared between patients with sequencing-confirmed delta and alpha variants for the whole cohort and by vaccination status subgroups. Stratified Cox regression was used to adjust for age, sex, ethnicity,deprivation, recent international travel, area of residence, calendar week, and vaccination status.
Findings: Individual-level data on 43338 COVID-19-positive patients (8682 with the delta variant, 34656 with the alpha variant; median age 31 years [IQR 17–43]) were included in our analysis. 196 (2·3%) patients with the delta variant versus 764 (2·2%) patients with the alpha variant were admitted to hospital within 14 days after the specimen was taken (adjusted hazard ratio [HR] 2·26 [95% CI 1·32–3·89]). 498 (5·7%) patients with the delta variant versus 1448 (4·2%) patients with the alpha variant were admitted to hospital or attended emergency care within 14 days(adjusted HR 1·45 [1·08–1·95]). Most patients were unvaccinated (32 078 [74·0%] across both groups). The HRs for vaccinated patients with the delta variant versus the alpha variant (adjusted HR for hospital admission 1·94 [95% CI0·47–8·05] and for hospital admission or emergency care attendance 1·58 [0·69–3·61]) were similar to the HRs for unvaccinated patients (2·32 [1·29–4·16] and 1·43 [1·04–1·97]; p=0·82 for both) but the precision for the vaccinated subgroup was low.Interpretation This large national study found a higher hospital admission or emergency care attendance risk for patients with COVID-19 infected with the delta variant compared with the alpha variant.
Results: suggest that outbreaks of the delta variant in unvaccinated populations might lead to a greater burden on health-care services than the alpha variant.
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More information
Published date: January 2022
Additional Information:
Funding Information:
We acknowledge the national collaborative effort undertaken by the institutions participating in the COVID-19 Genomics UK (COG-UK) consortium that enables this national public health response. We thank the Hospital-onset COVID Team (Simon Collin and Efejiro Ashano) and NHS-Digital. We thank Lara Utsi for assisting with the linkage to the vaccination dataset. We thank Natalie Groves for work on the variant case definitions and supporting the genome classification process. We acknowledge the Public Health England DataLake, DataStore, and Second Generation Surveillance System teams for maintenance of the databases in which data are stored. This research was funded by the Medical Research Council (MRC; authors DDA and AMP: Unit Programme number MC_UU_00002/11; author SRS: Unit Programme number MC_UU_00002/10); and via a grant from the MRC UK Research and Innovation (UKRI)/Department of Health and Social Care National Institute for Health Research (NIHR) COVID-19 rapid response call (authors TN, AC, DDA, and AMP: grant reference MC_PC_19074). The COG-UK consortium is supported by funding from the MRC part of UKRI, the NIHR and Genome Research Limited, operating as the Wellcome Sanger Institute.
Funding Information:
GD's employer, Public Health England, has received funding from GlaxoSmithKline for a research project related to seasonal influenza and antiviral treatment; this project preceded and had no relation to COVID-19, and GD had no role in and received no funding from the project. All other authors declare no competing interests.
Funding Information:
We acknowledge the national collaborative effort undertaken by the institutions participating in the COVID-19 Genomics UK (COG-UK) consortium that enables this national public health response. We thank the Hospital-onset COVID Team (Simon Collin and Efejiro Ashano) and NHS-Digital. We thank Lara Utsi for assisting with the linkage to the vaccination dataset. We thank Natalie Groves for work on the variant case definitions and supporting the genome classification process. We acknowledge the Public Health England DataLake, DataStore, and Second Generation Surveillance System teams for maintenance of the databases in which data are stored. This research was funded by the Medical Research Council (MRC; authors DDA and AMP: Unit Programme number MC_UU_00002/11; author SRS: Unit Programme number MC_UU_00002/10); and via a grant from the MRC UK Research and Innovation (UKRI)/Department of Health and Social Care National Institute for Health Research (NIHR) COVID-19 rapid response call (authors TN, AC, DDA, and AMP: grant reference MC_PC_19074). The COG-UK consortium is supported by funding from the MRC part of UKRI, the NIHR and Genome Research Limited, operating as the Wellcome Sanger Institute.
Publisher Copyright:
© 2022
Identifiers
Local EPrints ID: 451835
URI: http://eprints.soton.ac.uk/id/eprint/451835
ISSN: 1473-3099
PURE UUID: f7712cf0-0322-4c20-a4f2-d55333b9ea9d
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Date deposited: 29 Oct 2021 16:34
Last modified: 17 Mar 2024 03:56
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Contributors
Author:
Kordo Saeed
Author:
Katherine A. Twohig
Author:
Tommy Nyberg
Author:
Asad Zaidi
Author:
Simon Thelwall
Author:
Mary A. Sinnathamby
Author:
Shirin Aliabadi
Author:
Shaun R. Seaman
Author:
Ross J. Harris
Author:
Russell Hope
Author:
Jamie Lopez-Bernal
Author:
Eileen Gallagher
Author:
Andre Charlett
Author:
Daniela De Angelis
Author:
Anne M. Presanis
Author:
Gavin Dabrera
Corporate Author: The COVID-19 Genomics UK (COG-UK) Consortium
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