Nitin V Kolhe
Regional variation of COVID-19 admissions, acute kidney injury and mortality in England - a national observational study using administrative data
Kolhe, Nitin V; Fluck, Richard J; Taal, Maarten W
Abstract
Background: This study explores regional variations in COVID-19 hospitalization rates, in-hospital mortality, and acute kidney injury (AKI) in England. We investigated the influence of population demographic characteristics, viral strain changes, and therapeutic advances on clinical outcomes. Methods: Using hospital episode statistics, we conducted a retrospective cohort study with 749,844 admissions in 337,029 adult patients with laboratory-confirmed COVID-19 infection (March 1, 2020, to March 31, 2021). Multivariable logistic regression identified factors predicting AKI and mortality in COVID-19 hospitalized patients. Results: London had the highest number of COVID-19 admissions (131,338, 18%), followed by the North-west region (122,683, 16%). The North-west had the highest population incidence of COVID-19 hospital admissions (21,167 per million population, pmp), while the South-west had the lowest (9,292 admissions pmp). Patients in London were relatively younger (67.0 ± 17.7 years) than those in the East of England (72.2 ± 16.8 years). The shortest length of stay was in the North-east (12.2 ± 14.9 days), while the longest was in the North-west (15.2 ± 17.9 days). All eight regions had higher odds of death compared to London, ranging from OR 1.04 (95% CI 1.00, 1.07) in the South-west to OR 1.24 (95% CI 1.21, 1.28) in the North-west. Older age, Asian ethnicity, emergency admission, transfers from other hospitals, AKI presence, ITU admission, social deprivation, and comorbidity were associated with higher odds of death. AKI incidence was 30.3%, and all regions had lower odds of developing AKI compared to London. Increasing age, mixed and black ethnicity, emergency admission, transfers from other providers, ITU care, and different levels of comorbidity were associated with higher odds of developing AKI. Conclusions: London exhibited higher hospital admission numbers and AKI incidence, but lower odds of death compared to other regions in England. Trial registration: Registered on National Library of Medicine website (www.clinicaltrials.gov) with registration number NCT04579562 on 8/10/2020.
Citation
Kolhe, N. V., Fluck, R. J., & Taal, M. W. (in press). Regional variation of COVID-19 admissions, acute kidney injury and mortality in England - a national observational study using administrative data. BMC Infectious Diseases, 24(1), Article 346. https://doi.org/10.1186/s12879-024-09210-6
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 8, 2024 |
Online Publication Date | Mar 22, 2024 |
Deposit Date | Mar 14, 2024 |
Publicly Available Date | Mar 22, 2024 |
Journal | BMC Infectious Diseases |
Electronic ISSN | 1471-2334 |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
Volume | 24 |
Issue | 1 |
Article Number | 346 |
DOI | https://doi.org/10.1186/s12879-024-09210-6 |
Keywords | COVID-19, Acute kidney injury, Variation, Epidemiology |
Public URL | https://nottingham-repository.worktribe.com/output/32463606 |
Additional Information | Received: 31 October 2023; Accepted: 8 March 2024; First Online: 22 March 2024; : ; : The study protocol was assessed by the Research and Development Department of University Hospitals of Derby and Burton (UHDB) National Health Service (NHS) Trust and approved by the Health Research Authority and Wales Research Ethics Committee.; : The authors declare no competing interests.; : Not applicable. |
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© The Author(s) 2024
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
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