Risk factors and disease profile of post-vaccination SARS-CoV-2 infection in UK users of the COVID Symptom Study app: a prospective, community-based, nested, case-control study.


Journal

The Lancet. Infectious diseases
ISSN: 1474-4457
Titre abrégé: Lancet Infect Dis
Pays: United States
ID NLM: 101130150

Informations de publication

Date de publication:
01 2022
Historique:
received: 05 06 2021
revised: 20 07 2021
accepted: 26 07 2021
pubmed: 5 9 2021
medline: 5 1 2022
entrez: 4 9 2021
Statut: ppublish

Résumé

COVID-19 vaccines show excellent efficacy in clinical trials and effectiveness in real-world data, but some people still become infected with SARS-CoV-2 after vaccination. This study aimed to identify risk factors for post-vaccination SARS-CoV-2 infection and describe the characteristics of post-vaccination illness. This prospective, community-based, nested, case-control study used self-reported data (eg, on demographics, geographical location, health risk factors, and COVID-19 test results, symptoms, and vaccinations) from UK-based, adult (≥18 years) users of the COVID Symptom Study mobile phone app. For the risk factor analysis, cases had received a first or second dose of a COVID-19 vaccine between Dec 8, 2020, and July 4, 2021; had either a positive COVID-19 test at least 14 days after their first vaccination (but before their second; cases 1) or a positive test at least 7 days after their second vaccination (cases 2); and had no positive test before vaccination. Two control groups were selected (who also had not tested positive for SARS-CoV-2 before vaccination): users reporting a negative test at least 14 days after their first vaccination but before their second (controls 1) and users reporting a negative test at least 7 days after their second vaccination (controls 2). Controls 1 and controls 2 were matched (1:1) with cases 1 and cases 2, respectively, by the date of the post-vaccination test, health-care worker status, and sex. In the disease profile analysis, we sub-selected participants from cases 1 and cases 2 who had used the app for at least 14 consecutive days after testing positive for SARS-CoV-2 (cases 3 and cases 4, respectively). Controls 3 and controls 4 were unvaccinated participants reporting a positive SARS-CoV-2 test who had used the app for at least 14 consecutive days after the test, and were matched (1:1) with cases 3 and 4, respectively, by the date of the positive test, health-care worker status, sex, body-mass index (BMI), and age. We used univariate logistic regression models (adjusted for age, BMI, and sex) to analyse the associations between risk factors and post-vaccination infection, and the associations of individual symptoms, overall disease duration, and disease severity with vaccination status. Between Dec 8, 2020, and July 4, 2021, 1 240 009 COVID Symptom Study app users reported a first vaccine dose, of whom 6030 (0·5%) subsequently tested positive for SARS-CoV-2 (cases 1), and 971 504 reported a second dose, of whom 2370 (0·2%) subsequently tested positive for SARS-CoV-2 (cases 2). In the risk factor analysis, frailty was associated with post-vaccination infection in older adults (≥60 years) after their first vaccine dose (odds ratio [OR] 1·93, 95% CI 1·50-2·48; p<0·0001), and individuals living in highly deprived areas had increased odds of post-vaccination infection following their first vaccine dose (OR 1·11, 95% CI 1·01-1·23; p=0·039). Individuals without obesity (BMI <30 kg/m To minimise SARS-CoV-2 infection, at-risk populations must be targeted in efforts to boost vaccine effectiveness and infection control measures. Our findings might support caution around relaxing physical distancing and other personal protective measures in the post-vaccination era, particularly around frail older adults and individuals living in more deprived areas, even if these individuals are vaccinated, and might have implications for strategies such as booster vaccinations. ZOE, the UK Government Department of Health and Social Care, the Wellcome Trust, the UK Engineering and Physical Sciences Research Council, UK Research and Innovation London Medical Imaging and Artificial Intelligence Centre for Value Based Healthcare, the UK National Institute for Health Research, the UK Medical Research Council, the British Heart Foundation, and the Alzheimer's Society.

Sections du résumé

BACKGROUND
COVID-19 vaccines show excellent efficacy in clinical trials and effectiveness in real-world data, but some people still become infected with SARS-CoV-2 after vaccination. This study aimed to identify risk factors for post-vaccination SARS-CoV-2 infection and describe the characteristics of post-vaccination illness.
METHODS
This prospective, community-based, nested, case-control study used self-reported data (eg, on demographics, geographical location, health risk factors, and COVID-19 test results, symptoms, and vaccinations) from UK-based, adult (≥18 years) users of the COVID Symptom Study mobile phone app. For the risk factor analysis, cases had received a first or second dose of a COVID-19 vaccine between Dec 8, 2020, and July 4, 2021; had either a positive COVID-19 test at least 14 days after their first vaccination (but before their second; cases 1) or a positive test at least 7 days after their second vaccination (cases 2); and had no positive test before vaccination. Two control groups were selected (who also had not tested positive for SARS-CoV-2 before vaccination): users reporting a negative test at least 14 days after their first vaccination but before their second (controls 1) and users reporting a negative test at least 7 days after their second vaccination (controls 2). Controls 1 and controls 2 were matched (1:1) with cases 1 and cases 2, respectively, by the date of the post-vaccination test, health-care worker status, and sex. In the disease profile analysis, we sub-selected participants from cases 1 and cases 2 who had used the app for at least 14 consecutive days after testing positive for SARS-CoV-2 (cases 3 and cases 4, respectively). Controls 3 and controls 4 were unvaccinated participants reporting a positive SARS-CoV-2 test who had used the app for at least 14 consecutive days after the test, and were matched (1:1) with cases 3 and 4, respectively, by the date of the positive test, health-care worker status, sex, body-mass index (BMI), and age. We used univariate logistic regression models (adjusted for age, BMI, and sex) to analyse the associations between risk factors and post-vaccination infection, and the associations of individual symptoms, overall disease duration, and disease severity with vaccination status.
FINDINGS
Between Dec 8, 2020, and July 4, 2021, 1 240 009 COVID Symptom Study app users reported a first vaccine dose, of whom 6030 (0·5%) subsequently tested positive for SARS-CoV-2 (cases 1), and 971 504 reported a second dose, of whom 2370 (0·2%) subsequently tested positive for SARS-CoV-2 (cases 2). In the risk factor analysis, frailty was associated with post-vaccination infection in older adults (≥60 years) after their first vaccine dose (odds ratio [OR] 1·93, 95% CI 1·50-2·48; p<0·0001), and individuals living in highly deprived areas had increased odds of post-vaccination infection following their first vaccine dose (OR 1·11, 95% CI 1·01-1·23; p=0·039). Individuals without obesity (BMI <30 kg/m
INTERPRETATION
To minimise SARS-CoV-2 infection, at-risk populations must be targeted in efforts to boost vaccine effectiveness and infection control measures. Our findings might support caution around relaxing physical distancing and other personal protective measures in the post-vaccination era, particularly around frail older adults and individuals living in more deprived areas, even if these individuals are vaccinated, and might have implications for strategies such as booster vaccinations.
FUNDING
ZOE, the UK Government Department of Health and Social Care, the Wellcome Trust, the UK Engineering and Physical Sciences Research Council, UK Research and Innovation London Medical Imaging and Artificial Intelligence Centre for Value Based Healthcare, the UK National Institute for Health Research, the UK Medical Research Council, the British Heart Foundation, and the Alzheimer's Society.

Identifiants

pubmed: 34480857
pii: S1473-3099(21)00460-6
doi: 10.1016/S1473-3099(21)00460-6
pmc: PMC8409907
pii:
doi:

Types de publication

Journal Article Observational Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

43-55

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : NIDDK NIH HHS
ID : K01 DK120742
Pays : United States

Informations de copyright

Copyright © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests JW, AM, LP, CH, SS, and JCP report being employees of ZOE during the conduct of the study. JM reports grants from the European Commission and National Institutes of Health, and has served as a co-investigator on an unrelated nutrition trial sponsored by ZOE. ATC reports grants from the Massachusetts Consortium on Pathogen Readiness during the conduct of the study, and personal fees from Bayer Pharma, Pfizer, and Boehringer Ingelheim, outside the submitted work. DAD reports grants from the National Institutes of Health, the Massachusetts Consortium on Pathogen Readiness, and the American Gastroenterological Association during the conduct of the study, and has served as a co-investigator on an unrelated nutrition trial sponsored by ZOE. LHN reports grants from the National Institutes of Health, the American Gastroenterological Association, and the Crohn's and Colitis Foundation. CHS reports grants from the Alzheimer's Society during the conduct of the study. EM reports a grant from the Medical Research Council during the conduct of the study. CJS reports grants from the Chronic Disease Research Foundation, the Medical Research Council, the Wellcome Trust, and the National Institute for Health Research (NIHR) during the conduct of the study. SO reports grants from the Wellcome Trust, UK Research and Innovation, and the Chronic Disease Research Foundation during the conduct of the study. ELD reports receiving grants from the Chronic Disease Research Foundation during the conduct of the study. TDS reports being a consultant for ZOE during the conduct of the study. All other authors declare no competing interests.

Auteurs

Michela Antonelli (M)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Rose S Penfold (RS)

Department of Twin Research and Genetic Epidemiology, King's College London, London, UK; Department of Ageing and Health, Guy's and St Thomas' NHS Foundation Trust, London, UK.

Jordi Merino (J)

Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Programs in Metabolism, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Programs in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.

Carole H Sudre (CH)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK; Centre for Medical Image Computing, University College London, London, UK.

Erika Molteni (E)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Sarah Berry (S)

Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.

Liane S Canas (LS)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Mark S Graham (MS)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Kerstin Klaser (K)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Marc Modat (M)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Benjamin Murray (B)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Eric Kerfoot (E)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Liyuan Chen (L)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Jie Deng (J)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Marc F Österdahl (MF)

Department of Twin Research and Genetic Epidemiology, King's College London, London, UK; Department of Ageing and Health, Guy's and St Thomas' NHS Foundation Trust, London, UK.

Nathan J Cheetham (NJ)

Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.

David A Drew (DA)

Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Long H Nguyen (LH)

Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Christina Hu (C)

ZOE, London, UK.

Lorenzo Polidori (L)

ZOE, London, UK.

Anna May (A)

ZOE, London, UK.

Jonathan Wolf (J)

ZOE, London, UK.

Andrew T Chan (AT)

Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Alexander Hammers (A)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; King's College London and Guy's and St Thomas' PET Centre, London, UK.

Emma L Duncan (EL)

Department of Twin Research and Genetic Epidemiology, King's College London, London, UK; Department of Endocrinology, Guy's and St Thomas' NHS Foundation Trust, London, UK.

Tim D Spector (TD)

Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.

Sebastien Ourselin (S)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Claire J Steves (CJ)

Department of Twin Research and Genetic Epidemiology, King's College London, London, UK; Department of Ageing and Health, Guy's and St Thomas' NHS Foundation Trust, London, UK. Electronic address: claire.j.steves@kcl.ac.uk.

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