4.8 Article

Persistent COVID-19 symptoms in a community study of 606,434 people in England

Journal

NATURE COMMUNICATIONS
Volume 13, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41467-022-29521-z

Keywords

-

Funding

  1. Cancer Research UK [H2020-EXPANSE, 874627]
  2. NIHR Professorship [22184]
  3. MRC Centre for Global Infectious Disease Analysis, NIHR Health Protection Research Unit, Wellcome Trust [200861/Z/16/Z, 200187/Z/15/Z]
  4. Centres for Disease Control and Prevention
  5. NIHR Biomedical Research Centre of Imperial College NHS Trust [U01CK0005-01-02]
  6. NIHR School of Public Health Research
  7. NIHR Applied Research Collaborative North West London
  8. Wellcome Trust [UNS32973]
  9. MRC Centre for Environment and Health
  10. NIHR Imperial Biomedical Research Centre [MR/L01341X/1, MR/S019669/1]
  11. NIHR HPRUs in Chemical and Radiation Threats and Hazards and in Environmental Exposures and Health
  12. British Heart Foundation Centre for Research Excellence at Imperial College London
  13. UK Dementia Research Institute at Imperial [MC_PC_17114]
  14. Huo Family Foundation - Department of Health and Social Care in England
  15. NIHR
  16. [MR/V030841/1]
  17. [COV-LT-0040]

Ask authors/readers for more resources

This study characterizes Long COVID using data from the REACT-2 community-based study in England, estimating the prevalence of persistent symptoms and identifying risk factors. It also finds evidence of symptom clustering.
Long COVID remains a broadly defined syndrome, with estimates of prevalence and duration varying widely. We use data from rounds 3-5 of the REACT-2 study (n = 508,707; September 2020 - February 2021), a representative community survey of adults in England, and replication data from round 6 (n = 97,717; May 2021) to estimate the prevalence and identify predictors of persistent symptoms lasting 12 weeks or more; and unsupervised learning to cluster individuals by reported symptoms. At 12 weeks in rounds 3-5, 37.7% experienced at least one symptom, falling to 21.6% in round 6. Female sex, increasing age, obesity, smoking, vaping, hospitalisation with COVID-19, deprivation, and being a healthcare worker are associated with higher probability of persistent symptoms in rounds 3-5, and Asian ethnicity with lower probability. Clustering analysis identifies a subset of participants with predominantly respiratory symptoms. Managing the long-term sequelae of COVID-19 will remain a major challenge for affected individuals and their families and for health services. This study characterises Long COVID using data from the REACT-2 community-based study in England. It estimates that 38% (in autumn/winter 2020/21) and 22% (in spring 2021) of people reported at least one symptom 12 weeks after symptom onset; identifies risk factors for persistent symptoms; and finds evidence of symptom clustering.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available