ArticlemedRxiv : the preprint server for health sciences2023
The impact of long-term conditions and comorbidity patterns on COVID-19 infection and hospitalisation: a cohort study.
Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
5 authors at 5 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
Introduction: Older adults are usually more vulnerable to COVID-19 infections; however, little is known about which comorbidity patterns are related to a higher probability 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 of chronic conditions 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. Discussion/Conclusion: This study provides novel insights into the comorbidity patterns that are more vulnerable to COVID-19 infections and highlights the importance of CVD and complex comorbidities.These findings facilitate crucial new evidence for appropriate screening measures and tailored interventions for older adults in the ongoing global outbreak.
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