The Risk Factors Potentially Influencing Hospital Admission in People with Diabetes, Following SARS-CoV-2 Infection: A Population-Level Analysis.

Covid-19 Hospital admission SARS-CoV-2 T1DM T2DM

Journal

Diabetes therapy : research, treatment and education of diabetes and related disorders
ISSN: 1869-6953
Titre abrégé: Diabetes Ther
Pays: United States
ID NLM: 101539025

Informations de publication

Date de publication:
May 2022
Historique:
received: 31 12 2021
accepted: 09 02 2022
pubmed: 25 3 2022
medline: 25 3 2022
entrez: 24 3 2022
Statut: ppublish

Résumé

Since early 2020 the whole world has been challenged by the SARS-CoV-2 virus and the associated global pandemic (Covid-19). People with diabetes are particularly at high risk of becoming seriously unwell after contracting this virus. This population-based study included people living in the Greater Manchester conurbation who had a recorded diagnosis of type 1 diabetes mellitus (T1DM) or type 2 diabetes mellitus (T2DM) and subsequent Covid-19 infection. Each individual with T1DM (n = 862) or T2DM (n = 13,225) was matched with three Covid-19-infected non-diabetes controls. For individuals with T1DM, hospital admission rate in the first 28 days after a positive Covid-19 test was 10% vs 4.7% in age/gender-matched controls [relative risk (RR) 2.1]. For individuals with T2DM, hospital admission rate after a positive Covid-19 test was 16.3% vs 11.6% in age/gender-matched controls (RR 1.4). The average Townsend score was higher in T2DM (1.8) vs matched controls (0.4), with a higher proportion of people with T2DM observed in the top two quintiles of greatest disadvantage (p < 0.001). For Covid-19-infected individuals with T1DM, factors influencing admission likelihood included age, body mass index (BMI), hypertension, HbA1c, low HDL-cholesterol, lower estimated glomerular filtration rate (eGFR), chronic obstructive pulmonary disease (COPD) and being of African/mixed ethnicity. In Covid-19-infected individuals with T2DM, factors related to a higher admission rate included age, Townsend index, comorbidity with COPD/asthma and severe mental illness (SMI), lower eGFR. Metformin prescription lowered the likelihood. For multivariate analysis in combined individuals with T2DM/controls, factors relating to higher likelihood of admission were having T2DM/age/male gender/diagnosed COPD/diagnosed hypertension/social deprivation (higher Townsend index) and non-white ethnicity (all groups). In a UK population we have confirmed a significantly higher likelihood of admission in people with diabetes following Covid-19 infection. A number of factors mediate that increased likelihood of hospital admission. For T2DM, the majority of factors related to increased admission rate are common to the general population but more prevalent in T2DM. There was a protective effect of metformin in people with T2DM.

Identifiants

pubmed: 35325361
doi: 10.1007/s13300-022-01230-2
pii: 10.1007/s13300-022-01230-2
pmc: PMC8944405
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1007-1021

Informations de copyright

© 2022. The Author(s).

Références

Physiol Res. 2020 Jul 16;69(3):379-388
pubmed: 32469225
N Engl J Med. 2021 Feb 25;384(8):693-704
pubmed: 32678530
Lancet Respir Med. 2020 Nov;8(11):1106-1120
pubmed: 32979987
J Clin Hypertens (Greenwich). 2020 Jun;22(6):943-948
pubmed: 32472662
JAMA. 2020 May 26;323(20):2052-2059
pubmed: 32320003
Nutrients. 2020 Oct 31;12(11):
pubmed: 33142828
Eur Respir J. 2020 Aug 13;56(2):
pubmed: 32817205
Lancet Psychiatry. 2020 Dec;7(12):1025-1031
pubmed: 32950066
Diabetes Res Clin Pract. 2020 Aug;166:108295
pubmed: 32623032
Lancet Diabetes Endocrinol. 2020 Oct;8(10):813-822
pubmed: 32798472
Diabetologia. 2020 Aug;63(8):1500-1515
pubmed: 32472191
Diabetes Care. 2020 Aug;43(8):e83-e85
pubmed: 32503837
Clin Immunol. 2021 Jan;222:108634
pubmed: 33217545
Am J Case Rep. 2021 Apr 28;22:e930733
pubmed: 33907174
BMJ. 2021 Sep 17;374:n2244
pubmed: 34535466
J Epidemiol Community Health. 1995 Dec;49 Suppl 2:S30-3
pubmed: 8594131
Diabetes Res Clin Pract. 2020 Aug;166:108347
pubmed: 32711003
Thorax. 2021 Jun;76(6):537-538
pubmed: 33837142
Diabetes Metab. 2020 Nov;46(6):423-426
pubmed: 32750451
Eur J Endocrinol. 2020 Nov;183(5):R133-R147
pubmed: 32755992
Nat Rev Endocrinol. 2021 Jan;17(1):11-30
pubmed: 33188364
Diabetes Metab Syndr. 2020 Sep - Oct;14(5):1017-1025
pubmed: 32634716
Diabetologia. 2020 Aug;63(8):1440-1452
pubmed: 32405783
Int J Clin Pract. 2021 Aug;75(8):e14053
pubmed: 34289646
BMJ. 2020 Oct 20;371:m3731
pubmed: 33082154

Auteurs

Adrian H Heald (AH)

The School of Medicine and Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK. adrian.heald@manchester.ac.uk.
Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, The School of Medicine and Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK. adrian.heald@manchester.ac.uk.

David A Jenkins (DA)

Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
NIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK.

Richard Williams (R)

Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
NIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK.

Matthew Sperrin (M)

Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
NIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK.

Helene Fachim (H)

The School of Medicine and Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, The School of Medicine and Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.

Rajshekhar N Mudaliar (RN)

Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, The School of Medicine and Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.

Akheel Syed (A)

The School of Medicine and Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, The School of Medicine and Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.

Asma Naseem (A)

Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, The School of Medicine and Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.

J Martin Gibson (JM)

The School of Medicine and Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, The School of Medicine and Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.

Kelly A Bowden Davies (KA)

Department of Sport and Exercise Sciences, Musculoskeletal Science and Sports Medicine Research Centre, Manchester Metropolitan University, Manchester, UK.

Niels Peek (N)

Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
NIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK.

Simon G Anderson (SG)

University of the West Indies, Cavehill Campus, Barbados.
Division of Cardiovascular Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK.

Yonghong Peng (Y)

Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK.

William Ollier (W)

Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK.

Classifications MeSH