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Long-term health-related quality of life in non-hospitalised COVID-19 cases with confirmed SARS-CoV-2 infection in England: Longitudinal analysis and cross-sectional comparison with controls
Frank Sandmann; Elise Tessier; Joanne Lacy; Meaghan Kall; Edwin Van Leeuwen; Andre Charlett; Rosalind M Eggo; Gavin Dabrera; W. John Edmunds; Mary Ramsay; Helen Campbell; Gayatri Amirthalingam; Mark Jit.
Affiliation
  • Frank Sandmann; Statistics, Modelling and Economics Department, UK Health Security Agency, 61 Colindale Ave, London NW9 5EQ, UK
  • Elise Tessier; COVID-19 National Epidemiology Cell, UK Health Security Agency, Wellington House, 133-155 Waterloo Rd, London SE1 8UG, UK
  • Joanne Lacy; Immunisation Division, UK Health Security Agency, 61 Colindale Ave, London NW9 5EQ, UK
  • Meaghan Kall; COVID-19 National Epidemiology Cell, UK Health Security Agency, Wellington House, 133-155 Waterloo Rd, London SE1 8UG, UK
  • Edwin Van Leeuwen; Statistics, Modelling and Economics Department, UK Health Security Agency, 61 Colindale Ave, London NW9 5EQ, UK
  • Andre Charlett; Statistics, Modelling and Economics Department, UK Health Security Agency, 61 Colindale Ave, London NW9 5EQ, UK
  • Rosalind M Eggo; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel St, London WC1E 7HT, UK
  • Gavin Dabrera; COVID-19 National Epidemiology Cell, UK Health Security Agency, Wellington House, 133-155 Waterloo Rd, London SE1 8UG, UK
  • W. John Edmunds; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel St, London WC1E 7HT, UK
  • Mary Ramsay; Immunisation Division, UK Health Security Agency, 61 Colindale Ave, London NW9 5EQ, UK
  • Helen Campbell; Immunisation Division, UK Health Security Agency, 61 Colindale Ave, London NW9 5EQ, UK
  • Gayatri Amirthalingam; Immunisation Division, UK Health Security Agency, 61 Colindale Ave, London NW9 5EQ, UK
  • Mark Jit; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel St, London WC1E 7HT, UK
Preprint in English | medRxiv | ID: ppmedrxiv-21264701
ABSTRACT
BackgroundThis study measured the long-term health-related quality of life of non-hospitalised COVID-19 cases with PCR-confirmed SARS-CoV-2(+) infection using the recommended instrument in England (the EQ-5D). MethodsProspective cohort study of SARS-CoV-2(+) cases aged 12-85 years and followed up for six months from 01 December 2020, with cross-sectional comparison to SARS-CoV-2(-) controls. Main outcomes were loss of quality-adjusted life days (QALDs); physical symptoms; and COVID-19-related private expenditures. We analysed results using multivariable regressions with post-hoc weighting by age and sex, and conditional logistic regressions for the association of each symptom and EQ-5D limitation on cases and controls. ResultsOf 548 cases (mean age 41.1 years; 61.5% female), 16.8% reported physical symptoms at month 6 (most frequently extreme tiredness, headache, loss of taste and/or smell, and shortness of breath). Cases reported more limitations with doing usual activities than controls. Almost half of cases spent a mean of {pound}18.1 on non-prescription drugs (median {pound}10.0), and 52.7% missed work or school for a mean of 12 days (median 10). On average, all cases lost 15.9 (95%-CI 12.1, 19.7) QALDs, while those reporting symptoms at month 6 lost 34.1 (29.0, 39.2) QALDs. Losses also increased with older age. Cumulatively, the health loss from morbidity contributes at least 21% of the total COVID-19-related disease burden in England. ConclusionsOne in 6 cases report ongoing symptoms at 6 months, and 10% report prolonged loss of function compared to pre-COVID-19 baselines. A marked health burden was observed among older COVID-19 cases and those with persistent physical symptoms. summaryLosses of health-related quality of life in non-hospitalised COVID-19 cases increase by age and for cases with symptoms after 6 months. At a population level, at least 21% of the total COVID-19-related disease burden in England is attributable to morbidity.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Observational study / Prognostic study / Rct Language: English Year: 2021 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Observational study / Prognostic study / Rct Language: English Year: 2021 Document type: Preprint
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