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Long-term outcomes of SARS-CoV-2 variants and other respiratory infections: evidence from the Virus Watch prospective cohort in England.
Beale, Sarah; Yavlinsky, Alexei; Fong, Wing L E; Nguyen, Vincent G; Kovar, Jana; Vos, Theo; Wulf Hanson, Sarah; Hayward, Andrew C; Abubakar, Ibrahim; Aldridge, Robert W.
Afiliación
  • Beale S; Institute of Health Informatics, University College London, London, UK.
  • Yavlinsky A; Institute of Health Informatics, University College London, London, UK.
  • Fong WLE; Institute of Health Informatics, University College London, London, UK.
  • Nguyen VG; Institute of Health Informatics, University College London, London, UK.
  • Kovar J; Institute of Epidemiology and Health Care, University College London, London, UK.
  • Vos T; Department of Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, UK.
  • Wulf Hanson S; Institute of Health Informatics, University College London, London, UK.
  • Hayward AC; The Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Abubakar I; The Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Aldridge RW; Institute of Epidemiology and Health Care, University College London, London, UK.
Epidemiol Infect ; 152: e77, 2024 May 10.
Article en En | MEDLINE | ID: mdl-38724258
ABSTRACT
This study compared the likelihood of long-term sequelae following infection with SARS-CoV-2 variants, other acute respiratory infections (ARIs) and non-infected individuals. Participants (n=5,630) were drawn from Virus Watch, a prospective community cohort investigating SARS-CoV-2 epidemiology in England. Using logistic regression, we compared predicted probabilities of developing long-term symptoms (>2 months) during different variant dominance periods according to infection status (SARS-CoV-2, other ARI, or no infection), adjusting for confounding by demographic and clinical factors and vaccination status. SARS-CoV-2 infection during early variant periods up to Omicron BA.1 was associated with greater probability of long-term sequalae (adjusted predicted probability (PP) range 0.27, 95% CI = 0.22-0.33 to 0.34, 95% CI = 0.25-0.43) compared with later Omicron sub-variants (PP range 0.11, 95% CI 0.08-0.15 to 0.14, 95% CI 0.10-0.18). While differences between SARS-CoV-2 and other ARIs (PP range 0.08, 95% CI 0.04-0.11 to 0.23, 95% CI 0.18-0.28) varied by period, all post-infection estimates substantially exceeded those for non-infected participants (PP range 0.01, 95% CI 0.00, 0.02 to 0.03, 95% CI 0.01-0.06). Variant was an important predictor of SARS-CoV-2 post-infection sequalae, with recent Omicron sub-variants demonstrating similar probabilities to other contemporaneous ARIs. Further aetiological investigation including between-pathogen comparison is recommended.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Infecciones del Sistema Respiratorio / SARS-CoV-2 / COVID-19 Límite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: Epidemiol Infect Asunto de la revista: DOENCAS TRANSMISSIVEIS / EPIDEMIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Infecciones del Sistema Respiratorio / SARS-CoV-2 / COVID-19 Límite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: Epidemiol Infect Asunto de la revista: DOENCAS TRANSMISSIVEIS / EPIDEMIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido