Symptoms before and after COVID-19: a population and case-control study using prospective data.


Journal

The European respiratory journal
ISSN: 1399-3003
Titre abrégé: Eur Respir J
Pays: England
ID NLM: 8803460

Informations de publication

Date de publication:
04 Apr 2024
Historique:
received: 26 10 2023
accepted: 22 02 2024
medline: 5 4 2024
pubmed: 5 4 2024
entrez: 4 4 2024
Statut: aheadofprint

Résumé

Some individuals experience prolonged illness after acute COVID-19. We assessed whether pre-infection symptoms affected post-COVID illness duration. Survival analysis was performed in adults (n=23 452) with community-managed SARC-CoV-2 infection prospectively self-logging data through the ZOE COVID Symptom Study app, at least weekly, from 8 weeks before to 12 weeks after COVID-19 onset, conditioned on presence Individuals reporting baseline symptoms had longer post-COVID symptom duration (from 10 to 15 days) with baseline fatigue nearly doubling duration. Two-thirds (910 of 1350 [67.4%]) of individuals with long illness were asymptomatic beforehand. However, 440 (32.6%) had baseline symptoms, Individuals experiencing symptoms before COVID-19 have longer illness duration and increased odds of long illness. However, many individuals with long illness are well before SARS-CoV-2 infection.

Sections du résumé

BACKGROUND BACKGROUND
Some individuals experience prolonged illness after acute COVID-19. We assessed whether pre-infection symptoms affected post-COVID illness duration.
METHODS METHODS
Survival analysis was performed in adults (n=23 452) with community-managed SARC-CoV-2 infection prospectively self-logging data through the ZOE COVID Symptom Study app, at least weekly, from 8 weeks before to 12 weeks after COVID-19 onset, conditioned on presence
RESULTS RESULTS
Individuals reporting baseline symptoms had longer post-COVID symptom duration (from 10 to 15 days) with baseline fatigue nearly doubling duration. Two-thirds (910 of 1350 [67.4%]) of individuals with long illness were asymptomatic beforehand. However, 440 (32.6%) had baseline symptoms,
CONCLUSIONS CONCLUSIONS
Individuals experiencing symptoms before COVID-19 have longer illness duration and increased odds of long illness. However, many individuals with long illness are well before SARS-CoV-2 infection.

Identifiants

pubmed: 38575161
pii: 13993003.01853-2023
doi: 10.1183/13993003.01853-2023
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright ©The authors 2024. For reproduction rights and permissions contact permissions@ersnet.org.

Auteurs

Carole H Sudre (CH)

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

Michela Antonelli (M)

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

Nathan J Cheetham (NJ)

Department of Twin Research and Genetic Epidemiology, School of Life Course & Population Sciences, King's College London, London, UK.

Erika Molteni (E)

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

Liane S Canas (LS)

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

Vicky Bowyer (V)

Department of Twin Research and Genetic Epidemiology, School of Life Course & Population Sciences, King's College London, London, UK.

Ben Murray (B)

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

Khaled Rjoob (K)

MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, UK.

Marc Modat (M)

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

Joan Capdevila Pujol (J)

ZOE Limited London, London, UK.

Christina Hu (C)

ZOE Limited London, London, UK.

Jonathan Wolf (J)

ZOE Limited London, London, UK.

Tim D Spector (TD)

Department of Twin Research and Genetic Epidemiology, School of Life Course & Population Sciences, King's College London, London, UK.

Alexander Hammers (A)

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

Claire J Steves (CJ)

Department of Twin Research and Genetic Epidemiology, School of Life Course & Population Sciences, King's College London, London, UK.
Department of Ageing and Health, Guy's and St Thomas' NHS Foundation trust, London, UK.

Sebastien Ourselin (S)

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

Emma L Duncan (EL)

Department of Twin Research and Genetic Epidemiology, School of Life Course & Population Sciences, King's College London, London, UK emma.duncan@kcl.ac.uk.
Department of Endocrinology, Guy's and St Thomas' NHS Foundation Trust, London, UK.

Classifications MeSH