Disentangling post-vaccination symptoms from early COVID-19.

AUC, Area under the curve BMI, Body mass index CI, Confidence interval COVID-19 detection COVID-19, Coronavirus disease 2019 CSS, COVID Symptoms Study DI, Data invalid Early detection IQR, inter quartile range KCL, King's College London LFAT, Lateral flow antigen test LR, Logistic Regression Mobile technology NHS UK, National Health Service of the United Kingdom O-AZ, Oxford-AstraZeneca adenovirus-vectored vaccine PB, Pfizer-BoiNTech mRNA vaccine RF, Random forest ROC, Receiver operating curve SARS-CoV-2, Severe acute respiratory syndrome-related coronavirus-2 Self-reported symptoms Side-effects UK, United Kingdom of Great Britain and Nothern Ireland Vaccination bMEM, Bayesian mixed-effect model rtPCR, Reverse transcription polymerase chain reaction severe acute respiratory syndrome‐related coronavirus 2 (SARS-CoV-2)

Journal

EClinicalMedicine
ISSN: 2589-5370
Titre abrégé: EClinicalMedicine
Pays: England
ID NLM: 101733727

Informations de publication

Date de publication:
Dec 2021
Historique:
received: 30 08 2021
revised: 28 10 2021
accepted: 08 11 2021
entrez: 7 12 2021
pubmed: 8 12 2021
medline: 8 12 2021
Statut: ppublish

Résumé

Identifying and testing individuals likely to have SARS-CoV-2 is critical for infection control, including post-vaccination. Vaccination is a major public health strategy to reduce SARS-CoV-2 infection globally. Some individuals experience systemic symptoms post-vaccination, which overlap with COVID-19 symptoms. This study compared early post-vaccination symptoms in individuals who subsequently tested positive or negative for SARS-CoV-2, using data from the COVID Symptom Study (CSS) app. We conducted a prospective observational study in 1,072,313 UK CSS participants who were asymptomatic when vaccinated with Pfizer-BioNTech mRNA vaccine (BNT162b2) or Oxford-AstraZeneca adenovirus-vectored vaccine (ChAdOx1 nCoV-19) between 8 December 2020 and 17 May 2021, who subsequently reported symptoms within seven days (N=362,770) (other than local symptoms at injection site) and were tested for SARS-CoV-2 (N=14,842), aiming to differentiate vaccination side-effects Differentiating post-vaccination side-effects alone from early COVID-19 was challenging, with a sensitivity in identification of individuals testing positive of 0.6 at best. Most of these individuals did not have fever, persistent cough, or anosmia/dysosmia, requisite symptoms for accessing UK testing; and many only had systemic symptoms commonly seen post-vaccination in individuals negative for SARS-CoV-2 (headache, myalgia, and fatigue). Post-vaccination symptoms UK Government Department of Health and Social Care, Wellcome Trust, UK Engineering and Physical Sciences Research Council, UK National Institute for Health Research, UK Medical Research Council and British Heart Foundation, Chronic Disease Research Foundation, Zoe Limited.

Sections du résumé

BACKGROUND BACKGROUND
Identifying and testing individuals likely to have SARS-CoV-2 is critical for infection control, including post-vaccination. Vaccination is a major public health strategy to reduce SARS-CoV-2 infection globally. Some individuals experience systemic symptoms post-vaccination, which overlap with COVID-19 symptoms. This study compared early post-vaccination symptoms in individuals who subsequently tested positive or negative for SARS-CoV-2, using data from the COVID Symptom Study (CSS) app.
METHODS METHODS
We conducted a prospective observational study in 1,072,313 UK CSS participants who were asymptomatic when vaccinated with Pfizer-BioNTech mRNA vaccine (BNT162b2) or Oxford-AstraZeneca adenovirus-vectored vaccine (ChAdOx1 nCoV-19) between 8 December 2020 and 17 May 2021, who subsequently reported symptoms within seven days (N=362,770) (other than local symptoms at injection site) and were tested for SARS-CoV-2 (N=14,842), aiming to differentiate vaccination side-effects
FINDINGS RESULTS
Differentiating post-vaccination side-effects alone from early COVID-19 was challenging, with a sensitivity in identification of individuals testing positive of 0.6 at best. Most of these individuals did not have fever, persistent cough, or anosmia/dysosmia, requisite symptoms for accessing UK testing; and many only had systemic symptoms commonly seen post-vaccination in individuals negative for SARS-CoV-2 (headache, myalgia, and fatigue).
INTERPRETATION CONCLUSIONS
Post-vaccination symptoms
FUNDING BACKGROUND
UK Government Department of Health and Social Care, Wellcome Trust, UK Engineering and Physical Sciences Research Council, UK National Institute for Health Research, UK Medical Research Council and British Heart Foundation, Chronic Disease Research Foundation, Zoe Limited.

Identifiants

pubmed: 34873584
doi: 10.1016/j.eclinm.2021.101212
pii: S2589-5370(21)00493-4
pmc: PMC8635464
doi:

Types de publication

Journal Article

Langues

eng

Pagination

101212

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom

Informations de copyright

© 2021 The Authors.

Déclaration de conflit d'intérêts

CJS report grants from the Chronic Disease Research Foundation (CDRF), Medical Research Council (MRC) and Wellcome Trust during the conduct of the study. ELD reports being a co-lead of the KCL COVID Symptom Study Biobank, a research-supported biobank of individuals with Long COVID, administered through King's College London, during this study.EM reports grants from the MRC, as a personal fellowship. CHS reports grant from Alzheimer's Society. CH, SS, LP, AM report other from ZOE Limited and are employed by ZOE Limited, during the conduct of the study. TS is a scientific advisor to ZOE Limited. CHS reports grants from Alzheimer's Society, during the conduct of the study. SO reports grants from the Wellcome Trust, Innovate UK (UKRI), and Chronic Disease Research Foundation (CDRF), during the conduct of the study. All the other authors have no conflicts.

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Auteurs

Liane S Canas (LS)

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

Marc F Österdahl (MF)

Department of Twin Research and Genetic Epidemiology, Kings College London, London, UK.

Jie Deng (J)

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

Christina Hu (C)

ZOE Limited, London, UK.

Somesh Selvachandran (S)

ZOE Limited, London, UK.

Lorenzo Polidori (L)

ZOE Limited, London, UK.

Anna May (A)

ZOE Limited, London, UK.

Erika Molteni (E)

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.

Liyuan Chen (L)

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.

Kerstin Klaser (K)

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

Michela Antonelli (M)

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

Alexander Hammers (A)

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

Tim Spector (T)

Department of Twin Research and Genetic Epidemiology, Kings College London, London, UK.

Sebastien Ourselin (S)

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

Claire Steves (C)

Department of Twin Research and Genetic Epidemiology, Kings College London, London, UK.

Carole H Sudre (CH)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Medical Research Council Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine. UK.
Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.

Marc Modat (M)

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

Emma L Duncan (EL)

Department of Twin Research and Genetic Epidemiology, Kings College London, London, UK.

Classifications MeSH