The Impact of Long-Term Conditions and Comorbidity Patterns on COVID-19 Infection and Hospitalisation: A Cohort Study.


Journal

Gerontology
ISSN: 1423-0003
Titre abrégé: Gerontology
Pays: Switzerland
ID NLM: 7601655

Informations de publication

Date de publication:
2023
Historique:
received: 28 07 2022
accepted: 26 06 2023
medline: 23 10 2023
pubmed: 12 9 2023
entrez: 11 9 2023
Statut: ppublish

Résumé

Older adults are more vulnerable to COVID-19 infections; however, little is known about which comorbidity patterns are related to a higher risk of COVID-19 infection. This study investigated the role of long-term conditions or comorbidity patterns on COVID-19 infection and related hospitalisations. This study included 4,428 individuals from Waves 8 (2016-2017) and 9 (2018-2019) of the English Longitudinal Study of Ageing (ELSA) who also participated in the ELSA COVID-19 Substudy in 2020. Comorbidity patterns were identified using an agglomerative hierarchical clustering method. The relationships between comorbidity patterns or long-term conditions and COVID-19-related outcomes were examined using multivariable logistic regression. Among a representative sample of community-dwelling older adults in England, those with cardiovascular disease (CVD) and complex comorbidities had an almost double risk of COVID-19 infection (OR = 1.87, 95% CI = 1.42-2.46) but not of COVID-19-related hospitalisation. A similar pattern was observed for the heterogeneous comorbidities cluster (OR = 1.56, 95% CI = 1.24-1.96). The individual investigations of long-term conditions with COVID-19 infection highlighted primary associations with CVD (OR = 1.46, 95% CI = 1.23-1.74), lung diseases (OR = 1.40, 95% CI = 1.17-1.69), psychiatric conditions (OR = 1.40, 95% CI = 1.16-1.68), retinopathy/eye diseases (OR = 1.39, 95% CI = 1.18-1.64), and arthritis (OR = 1.27, 95% CI = 1.09-1.48). In contrast, metabolic disorders and diagnosed diabetes were not associated with any COVID-19 outcomes. This study provides novel insights into the comorbidity patterns that are more vulnerable to COVID-19 infections and hospitalisations, highlighting the vulnerability of those with CVD and other complex comorbidities. These findings facilitate crucial new evidence that should be considered for appropriate screening measures and tailored interventions for older adults in the ongoing global outbreak.

Identifiants

pubmed: 37696249
pii: 000531848
doi: 10.1159/000531848
pmc: PMC10614230
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1200-1210

Subventions

Organisme : NIA NIH HHS
ID : R01 AG017644
Pays : United States
Organisme : British Heart Foundation
ID : FS/14/76/30933
Pays : United Kingdom
Organisme : Department of Health
Pays : United Kingdom

Commentaires et corrections

Type : UpdateOf

Informations de copyright

© 2023 The Author(s). Published by S. Karger AG, Basel.

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Auteurs

Yun-Ting Huang (YT)

Department of Epidemiology and Public Health, University College London, London, UK.
Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester, UK.

Andrew Steptoe (A)

Department of Behavioural Science and Health, University College London, London, UK.

Riyaz S Patel (RS)

Institute of Cardiovascular Sciences, University College London, London, UK.
London Biomedical Research Centre, NIHR University College London, London, UK.
London and University College London Hospitals NHS Foundation Trust, London, UK.
UCL BHF Research Accelerator, University College London, London, UK.

Esme Fuller Thomson (E)

Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Institute for Life Course and Aging, University of Toronto, Toronto, Ontario, Canada.

Dorina Cadar (D)

Department of Behavioural Science and Health, University College London, London, UK.
Centre for Dementia Studies, Department of Neuroscience, Brighton and Sussex Medical School, Sussex, Brighton, UK.
Department of Primary Care and Public Health, Brighton and Sussex Medical School, Sussex, Brighton, UK.

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