Risk of winter hospitalisation and death from acute respiratory infections in Scotland: national retrospective cohort study

Shi, T. et al. (2024) Risk of winter hospitalisation and death from acute respiratory infections in Scotland: national retrospective cohort study. Journal of the Royal Society of Medicine, (doi: 10.1177/01410768231223584) (PMID:38345538) (Early Online Publication)

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Abstract

Objectives: We undertook a national analysis to characterise and identify risk factors for acute respiratory infections (ARIs) resulting in hospitalisation during the winter period in Scotland. Design: A population-based retrospective cohort analysis. Setting: Scotland. Participants: The study involved 5.4 million residents in Scotland. Main outcome measures: Cox proportional hazard models were used to estimate adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for the association between risk factors and ARI hospitalisation. Results: Between 1 September 2022 and 31 January 2023, there were 22,284 (10.9% of 203,549 with any emergency hospitalisation) ARI hospitalisations (1759 in children and 20,525 in adults) in Scotland. Compared with the reference group of children aged 6–17 years, the risk of ARI hospitalisation was higher in children aged 3–5 years (aHR = 4.55; 95% CI: 4.11–5.04). Compared with those aged 25–29 years, the risk of ARI hospitalisation was highest among the oldest adults aged ≥80 years (aHR = 7.86; 95% CI: 7.06–8.76). Adults from more deprived areas (most deprived vs. least deprived, aHR = 1.64; 95% CI: 1.57–1.72), with existing health conditions (≥5 vs. 0 health conditions, aHR = 4.84; 95% CI: 4.53–5.18) or with history of all-cause emergency admissions (≥6 vs. 0 previous emergency admissions, aHR = 7.53; 95% CI: 5.48–10.35) were at a higher risk of ARI hospitalisations. The risk increased by the number of existing health conditions and previous emergency admission. Similar associations were seen in children. Conclusions: Younger children, older adults, those from more deprived backgrounds and individuals with greater numbers of pre-existing conditions and previous emergency admission were at increased risk for winter hospitalisations for ARI.

Item Type:Articles
Additional Information:On behalf of Public Health Scotland and the EAVE II Collaborators. This study is funded by the National Institute for Health and Care Research (NIHR). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. This work also benefits from the infrastructure and partnerships assembled by HDR UK, including through the Data and Connectivity National Core Study, funded by UK Research and Innovation [grant ref MC_PC_20058].
Status:Early Online Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Katikireddi, Professor Vittal and McMenamin, Dr James
Authors: Shi, T., Millington, T., Roberston, C., Jeffrey, K., Katikireddi, S. V., Mccowan, C., Simpson, C. R., Woolford, L., Daines, L., Kerr, S., Swallow, B., Fagbamigbe, A., Vallejos, C. A., Weatherill, D., Jayacodi, S., Marsh, K., McMenamin, J., Rudan, I., Ritchie, S. L. D., Mueller, T., Kurdi, A., and Sheikh, S. A.
College/School:College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > MRC/CSO SPHSU
Journal Name:Journal of the Royal Society of Medicine
Publisher:SAGE Publications
ISSN:0141-0768
ISSN (Online):1758-1095
Published Online:12 February 2024
Copyright Holders:Copyright © The Royal Society of Medicine 2024
First Published:First published in Journal of the Royal Society of Medicine 2024
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
3048230021Inequalities in healthAlastair LeylandMedical Research Council (MRC)MC_UU_00022/2HW - MRC/CSO Social and Public Health Sciences Unit
3048230071Inequalities in healthAlastair LeylandOffice of the Chief Scientific Adviser (CSO)SPHSU17HW - MRC/CSO Social and Public Health Sciences Unit
172690Understanding the impacts of welfare policy on health: A novel data linkage studySrinivasa KatikireddiOffice of the Chief Scientific Adviser (CSO)SCAF/15/02SHW - Public Health