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Relevance of prediction scores derived from the SARS-CoV-2 first wave, in the evolving UK COVID-19 second wave, for safe early discharge and mortality: a PREDICT COVID-19 UK prospective observational cohort study

OBJECTIVE: Prospectively validate prognostication scores, SOARS and 4C Mortality Score, derived from the COVID-19 first wave, for mortality and safe early discharge in the evolving pandemic with SARS-CoV-2 variants (B.1.1.7 replacing D614) and healthcare responses altering patient demographic and mo...

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Autores principales: Ghani, Hakim, Navarra, Alessio, Pyae, Phyoe K, Mitchell, Harry, Evans, William, Cama, Rigers, Shaw, Michael, Critchlow, Ben, Vaghela, Tejal, Schechter, Miriam, Nordin, Nazril, Barlow, Andrew, Vancheeswaran, Rama
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772190/
https://www.ncbi.nlm.nih.gov/pubmed/36600417
http://dx.doi.org/10.1136/bmjopen-2021-054469
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author Ghani, Hakim
Navarra, Alessio
Pyae, Phyoe K
Mitchell, Harry
Evans, William
Cama, Rigers
Shaw, Michael
Critchlow, Ben
Vaghela, Tejal
Schechter, Miriam
Nordin, Nazril
Barlow, Andrew
Vancheeswaran, Rama
author_facet Ghani, Hakim
Navarra, Alessio
Pyae, Phyoe K
Mitchell, Harry
Evans, William
Cama, Rigers
Shaw, Michael
Critchlow, Ben
Vaghela, Tejal
Schechter, Miriam
Nordin, Nazril
Barlow, Andrew
Vancheeswaran, Rama
author_sort Ghani, Hakim
collection PubMed
description OBJECTIVE: Prospectively validate prognostication scores, SOARS and 4C Mortality Score, derived from the COVID-19 first wave, for mortality and safe early discharge in the evolving pandemic with SARS-CoV-2 variants (B.1.1.7 replacing D614) and healthcare responses altering patient demographic and mortality. DESIGN: Protocol-based prospective observational cohort study. SETTING: Single site PREDICT and multisite ISARIC (International Severe Acute Respiratory and Emerging Infections Consortium) cohorts in UK COVID-19 second wave, October 2020 to January 2021. PARTICIPANTS: 1383 PREDICT and 20 595 ISARIC SARS-CoV-2 patients. PRIMARY OUTCOME MEASURES: Relevance of SOARS and 4C Mortality Score determining in-hospital mortality and safe early discharge in the evolving UK COVID-19 second wave. RESULTS: 1383 (median age 67 years, IQR 52–82; mortality 24.7%) PREDICT and 20 595 (mortality 19.4%) ISARIC patient cohorts showed SOARS had area under the curve (AUC) of 0.8 and 0.74, while 4C Mortality Score had AUC of 0.83 and 0.91 for hospital mortality, in the PREDICT and ISARIC cohorts respectively, therefore, effective in evaluating safe discharge and in-hospital mortality. 19.3% (231/1195, PREDICT cohort) and 16.7% (2550/14992, ISARIC cohort) with SOARS of 0–1 were candidates for safe discharge to a virtual hospital (VH) model. SOARS implementation in the VH pathway resulted in low readmission, 11.8% (27/229) and low mortality, 0.9% (2/229). Use to prevent admission is still suboptimal, as 8.1% in the PREDICT cohort and 9.5% in the ISARIC cohort were admitted despite SOARS score of 0–1. CONCLUSIONS: SOARS and 4C Mortality Score remains valid, transforming complex clinical presentations into tangible numbers, aiding objective decision making, despite SARS-CoV-2 variants and healthcare responses altering patient demographic and mortality. Both scores, easily implemented within urgent care pathways for safe early discharge, allocate hospital resources appropriately to the pandemic’s needs while enabling normal healthcare services resumption.
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spelling pubmed-97721902022-12-22 Relevance of prediction scores derived from the SARS-CoV-2 first wave, in the evolving UK COVID-19 second wave, for safe early discharge and mortality: a PREDICT COVID-19 UK prospective observational cohort study Ghani, Hakim Navarra, Alessio Pyae, Phyoe K Mitchell, Harry Evans, William Cama, Rigers Shaw, Michael Critchlow, Ben Vaghela, Tejal Schechter, Miriam Nordin, Nazril Barlow, Andrew Vancheeswaran, Rama BMJ Open Infectious Diseases OBJECTIVE: Prospectively validate prognostication scores, SOARS and 4C Mortality Score, derived from the COVID-19 first wave, for mortality and safe early discharge in the evolving pandemic with SARS-CoV-2 variants (B.1.1.7 replacing D614) and healthcare responses altering patient demographic and mortality. DESIGN: Protocol-based prospective observational cohort study. SETTING: Single site PREDICT and multisite ISARIC (International Severe Acute Respiratory and Emerging Infections Consortium) cohorts in UK COVID-19 second wave, October 2020 to January 2021. PARTICIPANTS: 1383 PREDICT and 20 595 ISARIC SARS-CoV-2 patients. PRIMARY OUTCOME MEASURES: Relevance of SOARS and 4C Mortality Score determining in-hospital mortality and safe early discharge in the evolving UK COVID-19 second wave. RESULTS: 1383 (median age 67 years, IQR 52–82; mortality 24.7%) PREDICT and 20 595 (mortality 19.4%) ISARIC patient cohorts showed SOARS had area under the curve (AUC) of 0.8 and 0.74, while 4C Mortality Score had AUC of 0.83 and 0.91 for hospital mortality, in the PREDICT and ISARIC cohorts respectively, therefore, effective in evaluating safe discharge and in-hospital mortality. 19.3% (231/1195, PREDICT cohort) and 16.7% (2550/14992, ISARIC cohort) with SOARS of 0–1 were candidates for safe discharge to a virtual hospital (VH) model. SOARS implementation in the VH pathway resulted in low readmission, 11.8% (27/229) and low mortality, 0.9% (2/229). Use to prevent admission is still suboptimal, as 8.1% in the PREDICT cohort and 9.5% in the ISARIC cohort were admitted despite SOARS score of 0–1. CONCLUSIONS: SOARS and 4C Mortality Score remains valid, transforming complex clinical presentations into tangible numbers, aiding objective decision making, despite SARS-CoV-2 variants and healthcare responses altering patient demographic and mortality. Both scores, easily implemented within urgent care pathways for safe early discharge, allocate hospital resources appropriately to the pandemic’s needs while enabling normal healthcare services resumption. BMJ Publishing Group 2022-12-20 /pmc/articles/PMC9772190/ /pubmed/36600417 http://dx.doi.org/10.1136/bmjopen-2021-054469 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Infectious Diseases
Ghani, Hakim
Navarra, Alessio
Pyae, Phyoe K
Mitchell, Harry
Evans, William
Cama, Rigers
Shaw, Michael
Critchlow, Ben
Vaghela, Tejal
Schechter, Miriam
Nordin, Nazril
Barlow, Andrew
Vancheeswaran, Rama
Relevance of prediction scores derived from the SARS-CoV-2 first wave, in the evolving UK COVID-19 second wave, for safe early discharge and mortality: a PREDICT COVID-19 UK prospective observational cohort study
title Relevance of prediction scores derived from the SARS-CoV-2 first wave, in the evolving UK COVID-19 second wave, for safe early discharge and mortality: a PREDICT COVID-19 UK prospective observational cohort study
title_full Relevance of prediction scores derived from the SARS-CoV-2 first wave, in the evolving UK COVID-19 second wave, for safe early discharge and mortality: a PREDICT COVID-19 UK prospective observational cohort study
title_fullStr Relevance of prediction scores derived from the SARS-CoV-2 first wave, in the evolving UK COVID-19 second wave, for safe early discharge and mortality: a PREDICT COVID-19 UK prospective observational cohort study
title_full_unstemmed Relevance of prediction scores derived from the SARS-CoV-2 first wave, in the evolving UK COVID-19 second wave, for safe early discharge and mortality: a PREDICT COVID-19 UK prospective observational cohort study
title_short Relevance of prediction scores derived from the SARS-CoV-2 first wave, in the evolving UK COVID-19 second wave, for safe early discharge and mortality: a PREDICT COVID-19 UK prospective observational cohort study
title_sort relevance of prediction scores derived from the sars-cov-2 first wave, in the evolving uk covid-19 second wave, for safe early discharge and mortality: a predict covid-19 uk prospective observational cohort study
topic Infectious Diseases
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772190/
https://www.ncbi.nlm.nih.gov/pubmed/36600417
http://dx.doi.org/10.1136/bmjopen-2021-054469
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