The University of Southampton
University of Southampton Institutional Repository

Incidence of diabetes mellitus following hospitalisation for COVID-19 in the United Kingdom: a prospective observational study

Incidence of diabetes mellitus following hospitalisation for COVID-19 in the United Kingdom: a prospective observational study
Incidence of diabetes mellitus following hospitalisation for COVID-19 in the United Kingdom: a prospective observational study
Background: people hospitalised for coronavirus disease 2019 (COVID-19) have elevated incidence of diabetes. However, it is unclear whether this is due to shared risk factors, confounding or stress hyperglycaemia in response to acute illness.

Methods: we analysed a multicentre prospective cohort study (PHOSP-COVID) of people ≥18 years discharged from NHS hospitals across the United Kingdom following COVID-19. Individuals were included if they attended at least one research visit with a HbA1c measurement within 14 months of discharge and had no history of diabetes at baseline. The primary outcome was new onset diabetes (any type), as defined by a first glycated haemoglobin (HbA1c) measurement ≥6.5% (≥48 mmol/mol). Follow-up was censored at the last HbA1c measurement. Age-standardised incidence rates and incidence rate ratios (adjusted for age, sex, ethnicity, length of hospital stay, body mass index, smoking, physical activity, deprivation, hypertension, hyperlipidaemia/hypercholesterolaemia, intensive therapy unit admission, invasive mechanical ventilation, corticosteroid use and C-reactive protein score) were calculated using Poisson regression. Incidence rates were compared with the control groups of published clinical trials in the United Kingdom by applying the same inclusion and exclusion criteria, where possible.

Results: incidence of diabetes was 91.4 per 1000 person-years and was higher in South Asian (incidence rate ratios [IRR] = 3.60; 1.77, 7.32; p < 0.001) and Black ethnic groups (IRR = 2.36; 1.07, 5.21; p = 0.03) compared with White ethnic groups. When restricted to similar characteristics, the incidence rates were similar to those in UK clinical trials data.

Conclusion: diabetes incidence following hospitalisation for COVID-19 is high, but it remains uncertain whether it is disproportionately higher than pre-pandemic levels.
cohort study, population study, real-world evidence, type 1 diabetes, type 2 diabetes
1462-8902
767-776
Tyrer, Freya
eaaf81d5-4f19-4e6b-903c-8985320a7f39
Gharibzadeh, Safoora
a92e3e7f-5c02-4ce4-9ab6-5336a8d18fb2
Gillies, Clare
fc26555a-79f4-4d0e-9a34-1dc4fbda4be9
Lawson, Claire
631da820-36df-4ffd-ab81-a76953a83eb2
Routen, Ash
1c027d6c-fdac-438f-bda1-4814f027db66
Islam, Nazrul
e5345196-7479-438f-b4f6-c372d2135586
Razieh, Cameron
1f2cef7c-20b4-4edc-9533-c34fed0bfc13
Zaccardi, Francesco
8d31a980-3db1-4477-9514-c18087cf886a
Yates, Tom
6a3cb2f6-ab68-4729-a105-24983ae2acf0
Davies, Melanie J.
f23a2532-1297-4ee3-93d1-8387ab98e151
Brightling, Christopher E.
b3f869e5-2e62-4a1f-868c-2de15875f55e
Chalmers, James D.
e8583c19-6345-49e4-a298-fb9c685b1670
Docherty, Annemarie B.
0b579461-1b7a-456a-aa13-09f229c7a9d8
Elneima, Omer
727194c9-1800-41ae-b17a-b0831c3e2eaa
Evans, Rachael A.
94b426f6-35ab-45f6-95d0-934c48b665c2
Greening, Neil J.
76d837b2-cbf1-4dab-8b9c-73b1c789a655
Harris, Victoria C.
d01608ae-e2bf-4603-9c10-ed5b41bcc925
Harrison, Ewen M.
6e9fdc8e-928d-4135-b8d1-9547783025f1
Ho, Ling-Pei
78fd2483-d7c2-4244-8ffe-e3c8a2d27e32
Horsley, Alex
f3ba30f0-2ffe-496f-b450-ef48c119e53a
Houchen-Wolloff, Linzy
bf70a477-0d66-4e8d-a02e-53174a4350dc
Leavy, Olivia C.
31fedd8a-9d66-42a3-bf92-0ea370a8aaee
Lone, Nazir I.
c45a0850-9684-481c-8098-e3de4eaa311f
Marks, Michael
91d7c45a-1af5-408a-b966-4c29dae6e8af
McAuley, Hamish J. C.
35d122ef-8fb4-4e0e-af6d-ed6033520da8
Poinasamy, Krisnah
a28b1b07-547d-4c11-9c02-d7fe05f75133
Quint, Jennifer K.
22800655-8987-4464-8385-7f08860c92f9
Raman, Betty
7cbeb9a8-17fe-4a2d-8416-738945b667b9
Richardson, Matthew
0549bcf9-39ad-4e28-9ecb-45b177e1f914
Saunders, Ruth
008510ca-5706-47ee-99f4-17b7f0cd25b5
Sereno, Marco
9116563f-1b96-4cbe-beb4-cc51b1a9fe4b
Shikotra, Aarti
f14d8109-212a-4f9e-bd74-85145248f7cd
Singapuri, Amish
af16b4a1-a253-42f9-a343-98ef98c33521
Wain, Louise V.
6dc1efe6-03df-48cc-bb19-0527ad74e801
Khunti, Kamlesh
3e64e5f4-0cc9-4524-aa98-3c74c25101c3
et al.
the PHOSP-COVID Study Collaborative Group
Tyrer, Freya
eaaf81d5-4f19-4e6b-903c-8985320a7f39
Gharibzadeh, Safoora
a92e3e7f-5c02-4ce4-9ab6-5336a8d18fb2
Gillies, Clare
fc26555a-79f4-4d0e-9a34-1dc4fbda4be9
Lawson, Claire
631da820-36df-4ffd-ab81-a76953a83eb2
Routen, Ash
1c027d6c-fdac-438f-bda1-4814f027db66
Islam, Nazrul
e5345196-7479-438f-b4f6-c372d2135586
Razieh, Cameron
1f2cef7c-20b4-4edc-9533-c34fed0bfc13
Zaccardi, Francesco
8d31a980-3db1-4477-9514-c18087cf886a
Yates, Tom
6a3cb2f6-ab68-4729-a105-24983ae2acf0
Davies, Melanie J.
f23a2532-1297-4ee3-93d1-8387ab98e151
Brightling, Christopher E.
b3f869e5-2e62-4a1f-868c-2de15875f55e
Chalmers, James D.
e8583c19-6345-49e4-a298-fb9c685b1670
Docherty, Annemarie B.
0b579461-1b7a-456a-aa13-09f229c7a9d8
Elneima, Omer
727194c9-1800-41ae-b17a-b0831c3e2eaa
Evans, Rachael A.
94b426f6-35ab-45f6-95d0-934c48b665c2
Greening, Neil J.
76d837b2-cbf1-4dab-8b9c-73b1c789a655
Harris, Victoria C.
d01608ae-e2bf-4603-9c10-ed5b41bcc925
Harrison, Ewen M.
6e9fdc8e-928d-4135-b8d1-9547783025f1
Ho, Ling-Pei
78fd2483-d7c2-4244-8ffe-e3c8a2d27e32
Horsley, Alex
f3ba30f0-2ffe-496f-b450-ef48c119e53a
Houchen-Wolloff, Linzy
bf70a477-0d66-4e8d-a02e-53174a4350dc
Leavy, Olivia C.
31fedd8a-9d66-42a3-bf92-0ea370a8aaee
Lone, Nazir I.
c45a0850-9684-481c-8098-e3de4eaa311f
Marks, Michael
91d7c45a-1af5-408a-b966-4c29dae6e8af
McAuley, Hamish J. C.
35d122ef-8fb4-4e0e-af6d-ed6033520da8
Poinasamy, Krisnah
a28b1b07-547d-4c11-9c02-d7fe05f75133
Quint, Jennifer K.
22800655-8987-4464-8385-7f08860c92f9
Raman, Betty
7cbeb9a8-17fe-4a2d-8416-738945b667b9
Richardson, Matthew
0549bcf9-39ad-4e28-9ecb-45b177e1f914
Saunders, Ruth
008510ca-5706-47ee-99f4-17b7f0cd25b5
Sereno, Marco
9116563f-1b96-4cbe-beb4-cc51b1a9fe4b
Shikotra, Aarti
f14d8109-212a-4f9e-bd74-85145248f7cd
Singapuri, Amish
af16b4a1-a253-42f9-a343-98ef98c33521
Wain, Louise V.
6dc1efe6-03df-48cc-bb19-0527ad74e801
Khunti, Kamlesh
3e64e5f4-0cc9-4524-aa98-3c74c25101c3

Tyrer, Freya, Gharibzadeh, Safoora and Gillies, Clare , et al. and the PHOSP-COVID Study Collaborative Group (2025) Incidence of diabetes mellitus following hospitalisation for COVID-19 in the United Kingdom: a prospective observational study. Diabetes, Obesity and Metabolism, 27 (2), 767-776. (doi:10.1111/dom.16071).

Record type: Article

Abstract

Background: people hospitalised for coronavirus disease 2019 (COVID-19) have elevated incidence of diabetes. However, it is unclear whether this is due to shared risk factors, confounding or stress hyperglycaemia in response to acute illness.

Methods: we analysed a multicentre prospective cohort study (PHOSP-COVID) of people ≥18 years discharged from NHS hospitals across the United Kingdom following COVID-19. Individuals were included if they attended at least one research visit with a HbA1c measurement within 14 months of discharge and had no history of diabetes at baseline. The primary outcome was new onset diabetes (any type), as defined by a first glycated haemoglobin (HbA1c) measurement ≥6.5% (≥48 mmol/mol). Follow-up was censored at the last HbA1c measurement. Age-standardised incidence rates and incidence rate ratios (adjusted for age, sex, ethnicity, length of hospital stay, body mass index, smoking, physical activity, deprivation, hypertension, hyperlipidaemia/hypercholesterolaemia, intensive therapy unit admission, invasive mechanical ventilation, corticosteroid use and C-reactive protein score) were calculated using Poisson regression. Incidence rates were compared with the control groups of published clinical trials in the United Kingdom by applying the same inclusion and exclusion criteria, where possible.

Results: incidence of diabetes was 91.4 per 1000 person-years and was higher in South Asian (incidence rate ratios [IRR] = 3.60; 1.77, 7.32; p < 0.001) and Black ethnic groups (IRR = 2.36; 1.07, 5.21; p = 0.03) compared with White ethnic groups. When restricted to similar characteristics, the incidence rates were similar to those in UK clinical trials data.

Conclusion: diabetes incidence following hospitalisation for COVID-19 is high, but it remains uncertain whether it is disproportionately higher than pre-pandemic levels.

Text
Tyrer_Diabetes_Obes_Metab_2024_AuthorVersion - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (960kB)
Text
Diabetes Obesity Metabolism - 2024 - Tyrer - Incidence of diabetes mellitus following hospitalisation for COVID‐19 in the - Version of Record
Available under License Creative Commons Attribution.
Download (1MB)

More information

Accepted/In Press date: 3 November 2024
e-pub ahead of print date: 20 November 2024
Published date: 5 January 2025
Keywords: cohort study, population study, real-world evidence, type 1 diabetes, type 2 diabetes

Identifiers

Local EPrints ID: 496865
URI: http://eprints.soton.ac.uk/id/eprint/496865
ISSN: 1462-8902
PURE UUID: c7124238-ecc2-4335-8ecd-651837d1ac17
ORCID for Nazrul Islam: ORCID iD orcid.org/0000-0003-3982-4325

Catalogue record

Date deposited: 08 Jan 2025 11:20
Last modified: 10 Jan 2025 03:13

Export record

Altmetrics

Contributors

Author: Freya Tyrer
Author: Safoora Gharibzadeh
Author: Clare Gillies
Author: Claire Lawson
Author: Ash Routen
Author: Nazrul Islam ORCID iD
Author: Cameron Razieh
Author: Francesco Zaccardi
Author: Tom Yates
Author: Melanie J. Davies
Author: Christopher E. Brightling
Author: James D. Chalmers
Author: Annemarie B. Docherty
Author: Omer Elneima
Author: Rachael A. Evans
Author: Neil J. Greening
Author: Victoria C. Harris
Author: Ewen M. Harrison
Author: Ling-Pei Ho
Author: Alex Horsley
Author: Linzy Houchen-Wolloff
Author: Olivia C. Leavy
Author: Nazir I. Lone
Author: Michael Marks
Author: Hamish J. C. McAuley
Author: Krisnah Poinasamy
Author: Jennifer K. Quint
Author: Betty Raman
Author: Matthew Richardson
Author: Ruth Saunders
Author: Marco Sereno
Author: Aarti Shikotra
Author: Amish Singapuri
Author: Louise V. Wain
Author: Kamlesh Khunti
Corporate Author: et al.
Corporate Author: the PHOSP-COVID Study Collaborative Group

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×