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The Impact of Long-Term Conditions and Comorbidity Patterns on COVID-19 Infection and Hospitalisation: A Cohort Study
INTRODUCTION: 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 hosp...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
S. Karger AG
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614230/ https://www.ncbi.nlm.nih.gov/pubmed/37696249 http://dx.doi.org/10.1159/000531848 |
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author | Huang, Yun-Ting Steptoe, Andrew Patel, Riyaz S. Fuller Thomson, Esme Cadar, Dorina |
author_facet | Huang, Yun-Ting Steptoe, Andrew Patel, Riyaz S. Fuller Thomson, Esme Cadar, Dorina |
author_sort | Huang, Yun-Ting |
collection | PubMed |
description | INTRODUCTION: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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. |
format | Online Article Text |
id | pubmed-10614230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | S. Karger AG |
record_format | MEDLINE/PubMed |
spelling | pubmed-106142302023-10-31 The Impact of Long-Term Conditions and Comorbidity Patterns on COVID-19 Infection and Hospitalisation: A Cohort Study Huang, Yun-Ting Steptoe, Andrew Patel, Riyaz S. Fuller Thomson, Esme Cadar, Dorina Gerontology Clinical Section: Research Article INTRODUCTION: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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. S. Karger AG 2023-09-11 2023-10 /pmc/articles/PMC10614230/ /pubmed/37696249 http://dx.doi.org/10.1159/000531848 Text en © 2023 The Author(s). Published by S. Karger AG, Basel https://creativecommons.org/licenses/by-nc/4.0/This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY) (http://www.karger.com/Services/OpenAccessLicense). Usage, derivative works and distribution are permitted provided that proper credit is given to the author and the original publisher. |
spellingShingle | Clinical Section: Research Article Huang, Yun-Ting Steptoe, Andrew Patel, Riyaz S. Fuller Thomson, Esme Cadar, Dorina The Impact of Long-Term Conditions and Comorbidity Patterns on COVID-19 Infection and Hospitalisation: A Cohort Study |
title | The Impact of Long-Term Conditions and Comorbidity Patterns on COVID-19 Infection and Hospitalisation: A Cohort Study |
title_full | The Impact of Long-Term Conditions and Comorbidity Patterns on COVID-19 Infection and Hospitalisation: A Cohort Study |
title_fullStr | The Impact of Long-Term Conditions and Comorbidity Patterns on COVID-19 Infection and Hospitalisation: A Cohort Study |
title_full_unstemmed | The Impact of Long-Term Conditions and Comorbidity Patterns on COVID-19 Infection and Hospitalisation: A Cohort Study |
title_short | The Impact of Long-Term Conditions and Comorbidity Patterns on COVID-19 Infection and Hospitalisation: A Cohort Study |
title_sort | impact of long-term conditions and comorbidity patterns on covid-19 infection and hospitalisation: a cohort study |
topic | Clinical Section: Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614230/ https://www.ncbi.nlm.nih.gov/pubmed/37696249 http://dx.doi.org/10.1159/000531848 |
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