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Ten months of temporal variation in the clinical journey of hospitalised patients with COVID-19: An observational cohort

BACKGROUND: There is potentially considerable variation in the nature and duration of the care provided to hospitalised patients during an infectious disease epidemic or pandemic. Improvements in care and clinician confidence may shorten the time spent as an inpatient, or the need for admission to a...

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Autores principales: Hall, Matthew D, Baruch, Joaquín, Carson, Gail, Citarella, Barbara Wanjiru, Dagens, Andrew, Dankwa, Emmanuelle A, Donnelly, Christl A, Dunning, Jake, Escher, Martina, Kartsonaki, Christiana, Merson, Laura, Pritchard, Mark, Wei, Jia, Horby, Peter W, Rojek, Amanda, Olliaro, Piero L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791638/
https://www.ncbi.nlm.nih.gov/pubmed/34812731
http://dx.doi.org/10.7554/eLife.70970
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author Hall, Matthew D
Baruch, Joaquín
Carson, Gail
Citarella, Barbara Wanjiru
Dagens, Andrew
Dankwa, Emmanuelle A
Donnelly, Christl A
Dunning, Jake
Escher, Martina
Kartsonaki, Christiana
Merson, Laura
Pritchard, Mark
Wei, Jia
Horby, Peter W
Rojek, Amanda
Olliaro, Piero L
author_facet Hall, Matthew D
Baruch, Joaquín
Carson, Gail
Citarella, Barbara Wanjiru
Dagens, Andrew
Dankwa, Emmanuelle A
Donnelly, Christl A
Dunning, Jake
Escher, Martina
Kartsonaki, Christiana
Merson, Laura
Pritchard, Mark
Wei, Jia
Horby, Peter W
Rojek, Amanda
Olliaro, Piero L
collection PubMed
description BACKGROUND: There is potentially considerable variation in the nature and duration of the care provided to hospitalised patients during an infectious disease epidemic or pandemic. Improvements in care and clinician confidence may shorten the time spent as an inpatient, or the need for admission to an intensive care unit (ICU) or high dependency unit (HDU). On the other hand, limited resources at times of high demand may lead to rationing. Nevertheless, these variables may be used as static proxies for disease severity, as outcome measures for trials, and to inform planning and logistics. METHODS: We investigate these time trends in an extremely large international cohort of 142,540 patients hospitalised with COVID-19. Investigated are: time from symptom onset to hospital admission, probability of ICU/HDU admission, time from hospital admission to ICU/HDU admission, hospital case fatality ratio (hCFR) and total length of hospital stay. RESULTS: Time from onset to admission showed a rapid decline during the first months of the pandemic followed by peaks during August/September and December 2020. ICU/HDU admission was more frequent from June to August. The hCFR was lowest from June to August. Raw numbers for overall hospital stay showed little variation, but there is clear decline in time to discharge for ICU/HDU survivors. CONCLUSIONS: Our results establish that variables of these kinds have limitations when used as outcome measures in a rapidly evolving situation. FUNDING: This work was supported by the UK Foreign, Commonwealth and Development Office and Wellcome [215091/Z/18/Z] and the Bill & Melinda Gates Foundation [OPP1209135]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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spelling pubmed-87916382022-01-27 Ten months of temporal variation in the clinical journey of hospitalised patients with COVID-19: An observational cohort Hall, Matthew D Baruch, Joaquín Carson, Gail Citarella, Barbara Wanjiru Dagens, Andrew Dankwa, Emmanuelle A Donnelly, Christl A Dunning, Jake Escher, Martina Kartsonaki, Christiana Merson, Laura Pritchard, Mark Wei, Jia Horby, Peter W Rojek, Amanda Olliaro, Piero L eLife Epidemiology and Global Health BACKGROUND: There is potentially considerable variation in the nature and duration of the care provided to hospitalised patients during an infectious disease epidemic or pandemic. Improvements in care and clinician confidence may shorten the time spent as an inpatient, or the need for admission to an intensive care unit (ICU) or high dependency unit (HDU). On the other hand, limited resources at times of high demand may lead to rationing. Nevertheless, these variables may be used as static proxies for disease severity, as outcome measures for trials, and to inform planning and logistics. METHODS: We investigate these time trends in an extremely large international cohort of 142,540 patients hospitalised with COVID-19. Investigated are: time from symptom onset to hospital admission, probability of ICU/HDU admission, time from hospital admission to ICU/HDU admission, hospital case fatality ratio (hCFR) and total length of hospital stay. RESULTS: Time from onset to admission showed a rapid decline during the first months of the pandemic followed by peaks during August/September and December 2020. ICU/HDU admission was more frequent from June to August. The hCFR was lowest from June to August. Raw numbers for overall hospital stay showed little variation, but there is clear decline in time to discharge for ICU/HDU survivors. CONCLUSIONS: Our results establish that variables of these kinds have limitations when used as outcome measures in a rapidly evolving situation. FUNDING: This work was supported by the UK Foreign, Commonwealth and Development Office and Wellcome [215091/Z/18/Z] and the Bill & Melinda Gates Foundation [OPP1209135]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. eLife Sciences Publications, Ltd 2021-11-23 /pmc/articles/PMC8791638/ /pubmed/34812731 http://dx.doi.org/10.7554/eLife.70970 Text en © 2021, ISARIC Clinical Characterisation Group et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Epidemiology and Global Health
Hall, Matthew D
Baruch, Joaquín
Carson, Gail
Citarella, Barbara Wanjiru
Dagens, Andrew
Dankwa, Emmanuelle A
Donnelly, Christl A
Dunning, Jake
Escher, Martina
Kartsonaki, Christiana
Merson, Laura
Pritchard, Mark
Wei, Jia
Horby, Peter W
Rojek, Amanda
Olliaro, Piero L
Ten months of temporal variation in the clinical journey of hospitalised patients with COVID-19: An observational cohort
title Ten months of temporal variation in the clinical journey of hospitalised patients with COVID-19: An observational cohort
title_full Ten months of temporal variation in the clinical journey of hospitalised patients with COVID-19: An observational cohort
title_fullStr Ten months of temporal variation in the clinical journey of hospitalised patients with COVID-19: An observational cohort
title_full_unstemmed Ten months of temporal variation in the clinical journey of hospitalised patients with COVID-19: An observational cohort
title_short Ten months of temporal variation in the clinical journey of hospitalised patients with COVID-19: An observational cohort
title_sort ten months of temporal variation in the clinical journey of hospitalised patients with covid-19: an observational cohort
topic Epidemiology and Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791638/
https://www.ncbi.nlm.nih.gov/pubmed/34812731
http://dx.doi.org/10.7554/eLife.70970
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