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

Diabetes, glycaemic control, and risk of COVID-19 hospitalisation: population-based, prospective cohort study.
Diabetes, glycaemic control, and risk of COVID-19 hospitalisation: population-based, prospective cohort study.
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 were 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.
0026-0495
Hamer, M.
859af528-3efc-4647-a7ff-d3a3f9c004a3
Gale, Catharine
5bb2abb3-7b53-42d6-8aa7-817e193140c8
Batty, G. D.
b9f925eb-88c8-4f27-8148-8929fdb84149
Hamer, M.
859af528-3efc-4647-a7ff-d3a3f9c004a3
Gale, Catharine
5bb2abb3-7b53-42d6-8aa7-817e193140c8
Batty, G. D.
b9f925eb-88c8-4f27-8148-8929fdb84149

Hamer, M., Gale, Catharine and Batty, G. D. (2020) Diabetes, glycaemic control, and risk of COVID-19 hospitalisation: population-based, prospective cohort study. Metabolism, 112, [154344]. (doi:10.1016/j.metabol.2020.154344).

Record type: Article

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 were 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.

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More information

Accepted/In Press date: 15 August 2020
e-pub ahead of print date: 22 August 2020
Published date: 1 November 2020

Identifiers

Local EPrints ID: 453550
URI: http://eprints.soton.ac.uk/id/eprint/453550
ISSN: 0026-0495
PURE UUID: 29510667-3ba5-4330-a7ad-9d701a2bab38
ORCID for Catharine Gale: ORCID iD orcid.org/0000-0002-3361-8638

Catalogue record

Date deposited: 19 Jan 2022 17:45
Last modified: 28 Apr 2022 01:39

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Contributors

Author: M. Hamer
Author: Catharine Gale ORCID iD
Author: G. D. Batty

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