A matched cohort study evaluating the risks of infections in people with type 1 diabetes and their associations with glycated haemoglobin.

Ethnicity Glycated haemoglobin (HbA1c) Infections Type 1 diabetes Variability

Journal

Diabetes research and clinical practice
ISSN: 1872-8227
Titre abrégé: Diabetes Res Clin Pract
Pays: Ireland
ID NLM: 8508335

Informations de publication

Date de publication:
19 Nov 2023
Historique:
received: 31 08 2023
revised: 13 11 2023
accepted: 17 11 2023
pubmed: 21 11 2023
medline: 21 11 2023
entrez: 20 11 2023
Statut: aheadofprint

Résumé

People with type 1 diabetes (T1D) have raised infection rates compared to those without, but how these risks vary by age, sex and ethnicity, or by glycated haemoglobin (HbA1c), remain uncertain. 33,829 patients with T1D in Clinical Practice Research Datalink on 01/01/2015 were age-sex-ethnicity matched to two non-diabetes patients. Infections were collated from primary care and linked hospitalisation records during 2015-2019, and incidence rate ratios (IRRs) were estimated versus non-diabetes. For 26,096 people with T1D, with ≥3 HbA1c measurements in 2012-2014, mean and coefficient of variation were estimated, and compared across percentiles. People with T1D had increased risk for infections presenting in primary care (IRR = 1.81, 95%CI 1.77-1.85) and hospitalisations (IRR = 3.37, 3.21-3.53) compared to non-diabetes, slightly attenuated after further adjustment. Younger ages and non-White ethnicities had greater relative risks, potentially explained by higher HbA1c mean and variability amongst people with T1D within these sub-groups. Both mean HbA1c and greater variability were strongly associated with infection risks, but the greatest associations were at the highest mean levels (hospitalisations IRR = 4.09, 3.64-4.59) for >97 versus ≤53 mmol/mol. Infections are a significant health burden in T1D. Improved glycaemic control may reduce infection risks, while prompter infection treatments may reduce hospital admissions.

Identifiants

pubmed: 37984487
pii: S0168-8227(23)00786-6
doi: 10.1016/j.diabres.2023.111023
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111023

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Umar A R Chaudhry (UAR)

Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom. Electronic address: uchaudhr@sgul.ac.uk.

Iain M Carey (IM)

Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom.

Julia A Critchley (JA)

Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom.

Stephen DeWilde (S)

Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom.

Elizabeth S Limb (ES)

Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom.

Liza Bowen (L)

Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom.

Arshia Panahloo (A)

St George's University Hospitals NHS Foundation Trust, Blackshaw Road, Tooting, London SW17 0QT, United Kingdom.

Derek G Cook (DG)

Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom.

Peter H Whincup (PH)

Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom.

Tess Harris (T)

Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom.

Classifications MeSH