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Diabetes, glycaemic control, and risk of COVID-19 hospitalisation: population-based, prospective cohort study

Hamer, M; Gale, C; Batty, D; (2020) Diabetes, glycaemic control, and risk of COVID-19 hospitalisation: population-based, prospective cohort study. Metabolism , 112 , Article 154344. 10.1016/j.metabol.2020.154344. Green open access

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Abstract

OBJECTIVE: We aimed to examine the prospective association of diabetes and glycaemic control with COVID-19 hospitalisation in a large community-based cohort study. METHODS AND STUDY DESIGN: Participants (N = 337,802, aged 56.4 ± 8.1 yr; 55.1% women) underwent biomedical assessments at baseline as part of the UK Biobank prospective cohort study. The outcome was cases of COVID-19 serious enough to warrant a hospital admission from 16-March-2020 to 26-April-2020. RESULTS: At follow up, 649 cases COVID-19 were recorded. In multivariable adjusted analyses, risk of COVID-19 was elevated in people with undiagnosed diabetes at baseline (A1C ≥ 6.5%) (risk ratio = 2.68; 95% confidence interval: 1.66, 4.33) and poorly controlled (A1C ≥ 8.6%) diagnosed diabetes (1.91;1.04, 3.52). There was a dose-dependent increase in risk of COVID-19 with increasing A1C, that persisted in multivariable adjusted models (per SD [0.9%]: 1.07; 1.03, 1.11; p[trend] < 0.001). CONCLUSION: In this large community-based sample, higher levels of A1C within the normal range was a risk factor for COVID-19. Glucose regulation may play a key role in immune responses to this infection. Undiagnosed cases of diabetes in the general community may present a particularly high risk.

Type: Article
Title: Diabetes, glycaemic control, and risk of COVID-19 hospitalisation: population-based, prospective cohort study
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.metabol.2020.154344
Publisher version: https://doi.org/10.1016/j.metabol.2020.154344
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Diabetes, Infection, COVID-19, Population cohort
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Epidemiology and Public Health
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10108323
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