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Seasonal mortality trends for hospitalised patients with acute kidney injury across England

BACKGROUND: Incidence of acute kidney injury (AKI) is known to peak in winter months. This is likely influenced by seasonality of commonly associated acute illnesses. We set out to assess seasonal mortality trends for patients who develop AKI across the English National Health Service (NHS) and to b...

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Autores principales: Wong, Esther, Peracha, Javeria, Pitcher, David, Casula, Anna, Steenkamp, Retha, Medcalf, James F, Nitsch, Dorothea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10210343/
https://www.ncbi.nlm.nih.gov/pubmed/37226118
http://dx.doi.org/10.1186/s12882-023-03094-5
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author Wong, Esther
Peracha, Javeria
Pitcher, David
Casula, Anna
Steenkamp, Retha
Medcalf, James F
Nitsch, Dorothea
author_facet Wong, Esther
Peracha, Javeria
Pitcher, David
Casula, Anna
Steenkamp, Retha
Medcalf, James F
Nitsch, Dorothea
author_sort Wong, Esther
collection PubMed
description BACKGROUND: Incidence of acute kidney injury (AKI) is known to peak in winter months. This is likely influenced by seasonality of commonly associated acute illnesses. We set out to assess seasonal mortality trends for patients who develop AKI across the English National Health Service (NHS) and to better understand associations with patient ‘case-mix’. METHODS: The study cohort included all hospitalised adult patients in England who triggered a biochemical AKI alert in 2017. We modelled the impact of season on 30-day mortality using multivariable logistic regression; adjusting for age, sex, ethnicity, index of multiple deprivation (IMD), primary diagnosis, comorbidity (RCCI), elective/emergency admission, peak AKI stage and community/hospital acquired AKI. Seasonal odds ratios for AKI mortality were then calculated and compared across individual NHS hospital trusts. RESULTS: The crude 30-day mortality for hospitalised AKI patients was 33% higher in winter compared to summer. Case-mix adjustment for a wide range of clinical and demographic factors did not fully explain excess winter mortality. The adjusted odds ratio of patients dying in winter vs. summer was 1.25 (1.22–1.29), this was higher than for Autumn and Spring vs. Summer, 1.09 (1.06–1.12) and 1.07 (1.04–1.11) respectively and varied across different NHS trusts (9 out of 90 centres outliers). CONCLUSION: We have demonstrated an excess winter mortality risk for hospitalised patients with AKI across the English NHS, which could not be fully explained by seasonal variation in patient case-mix. Whilst the explanation for worse winter outcomes is not clear, unaccounted differences including ‘winter-pressures’ merit further investigation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-023-03094-5.
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spelling pubmed-102103432023-05-26 Seasonal mortality trends for hospitalised patients with acute kidney injury across England Wong, Esther Peracha, Javeria Pitcher, David Casula, Anna Steenkamp, Retha Medcalf, James F Nitsch, Dorothea BMC Nephrol Research BACKGROUND: Incidence of acute kidney injury (AKI) is known to peak in winter months. This is likely influenced by seasonality of commonly associated acute illnesses. We set out to assess seasonal mortality trends for patients who develop AKI across the English National Health Service (NHS) and to better understand associations with patient ‘case-mix’. METHODS: The study cohort included all hospitalised adult patients in England who triggered a biochemical AKI alert in 2017. We modelled the impact of season on 30-day mortality using multivariable logistic regression; adjusting for age, sex, ethnicity, index of multiple deprivation (IMD), primary diagnosis, comorbidity (RCCI), elective/emergency admission, peak AKI stage and community/hospital acquired AKI. Seasonal odds ratios for AKI mortality were then calculated and compared across individual NHS hospital trusts. RESULTS: The crude 30-day mortality for hospitalised AKI patients was 33% higher in winter compared to summer. Case-mix adjustment for a wide range of clinical and demographic factors did not fully explain excess winter mortality. The adjusted odds ratio of patients dying in winter vs. summer was 1.25 (1.22–1.29), this was higher than for Autumn and Spring vs. Summer, 1.09 (1.06–1.12) and 1.07 (1.04–1.11) respectively and varied across different NHS trusts (9 out of 90 centres outliers). CONCLUSION: We have demonstrated an excess winter mortality risk for hospitalised patients with AKI across the English NHS, which could not be fully explained by seasonal variation in patient case-mix. Whilst the explanation for worse winter outcomes is not clear, unaccounted differences including ‘winter-pressures’ merit further investigation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-023-03094-5. BioMed Central 2023-05-24 /pmc/articles/PMC10210343/ /pubmed/37226118 http://dx.doi.org/10.1186/s12882-023-03094-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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.
spellingShingle Research
Wong, Esther
Peracha, Javeria
Pitcher, David
Casula, Anna
Steenkamp, Retha
Medcalf, James F
Nitsch, Dorothea
Seasonal mortality trends for hospitalised patients with acute kidney injury across England
title Seasonal mortality trends for hospitalised patients with acute kidney injury across England
title_full Seasonal mortality trends for hospitalised patients with acute kidney injury across England
title_fullStr Seasonal mortality trends for hospitalised patients with acute kidney injury across England
title_full_unstemmed Seasonal mortality trends for hospitalised patients with acute kidney injury across England
title_short Seasonal mortality trends for hospitalised patients with acute kidney injury across England
title_sort seasonal mortality trends for hospitalised patients with acute kidney injury across england
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10210343/
https://www.ncbi.nlm.nih.gov/pubmed/37226118
http://dx.doi.org/10.1186/s12882-023-03094-5
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