| Title: | Diabetes, glycaemic control, and risk of COVID-19 hospitalisation: Population-based, prospective cohort study |
| Journal: | Metabolism |
| Published: | 22 Aug 2020 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/32835758/ |
| DOI: | https://doi.org/10.1016/j.metabol.2020.154344 |
| URL: | http://www.metabolismjournal.com/article/S0026049520302080/pdf |
Publication 4672
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
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.</p>
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.</p>
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).</p>
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.</p>
11 Keywords
- COVID-19
- Diabetes Mellitus, Type 2
- Female
- Glycemic Control
- Hospitalization
- Humans
- Male
- Middle Aged
- Prospective Studies
- Risk Factors
- SARS-CoV-2
3 Authors
- Mark Hamer
- Catharine R Gale
- G David Batty
1 Application
| Application ID | Title |
|---|---|
| 10279 | The relationship of cognitive function and negative emotions with morbidity and mortality: an aetiological investigation |
Enabling scientific discoveries that improve human health