Cargando…
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...
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1784854931266600960 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9772190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ghanihakim relevanceofpredictionscoresderivedfromthesarscov2firstwaveintheevolvingukcovid19secondwaveforsafeearlydischargeandmortalityapredictcovid19ukprospectiveobservationalcohortstudy AT navarraalessio relevanceofpredictionscoresderivedfromthesarscov2firstwaveintheevolvingukcovid19secondwaveforsafeearlydischargeandmortalityapredictcovid19ukprospectiveobservationalcohortstudy AT pyaephyoek relevanceofpredictionscoresderivedfromthesarscov2firstwaveintheevolvingukcovid19secondwaveforsafeearlydischargeandmortalityapredictcovid19ukprospectiveobservationalcohortstudy AT mitchellharry relevanceofpredictionscoresderivedfromthesarscov2firstwaveintheevolvingukcovid19secondwaveforsafeearlydischargeandmortalityapredictcovid19ukprospectiveobservationalcohortstudy AT evanswilliam relevanceofpredictionscoresderivedfromthesarscov2firstwaveintheevolvingukcovid19secondwaveforsafeearlydischargeandmortalityapredictcovid19ukprospectiveobservationalcohortstudy AT camarigers relevanceofpredictionscoresderivedfromthesarscov2firstwaveintheevolvingukcovid19secondwaveforsafeearlydischargeandmortalityapredictcovid19ukprospectiveobservationalcohortstudy AT shawmichael relevanceofpredictionscoresderivedfromthesarscov2firstwaveintheevolvingukcovid19secondwaveforsafeearlydischargeandmortalityapredictcovid19ukprospectiveobservationalcohortstudy AT critchlowben relevanceofpredictionscoresderivedfromthesarscov2firstwaveintheevolvingukcovid19secondwaveforsafeearlydischargeandmortalityapredictcovid19ukprospectiveobservationalcohortstudy AT vaghelatejal relevanceofpredictionscoresderivedfromthesarscov2firstwaveintheevolvingukcovid19secondwaveforsafeearlydischargeandmortalityapredictcovid19ukprospectiveobservationalcohortstudy AT schechtermiriam relevanceofpredictionscoresderivedfromthesarscov2firstwaveintheevolvingukcovid19secondwaveforsafeearlydischargeandmortalityapredictcovid19ukprospectiveobservationalcohortstudy AT nordinnazril relevanceofpredictionscoresderivedfromthesarscov2firstwaveintheevolvingukcovid19secondwaveforsafeearlydischargeandmortalityapredictcovid19ukprospectiveobservationalcohortstudy AT barlowandrew relevanceofpredictionscoresderivedfromthesarscov2firstwaveintheevolvingukcovid19secondwaveforsafeearlydischargeandmortalityapredictcovid19ukprospectiveobservationalcohortstudy AT vancheeswaranrama relevanceofpredictionscoresderivedfromthesarscov2firstwaveintheevolvingukcovid19secondwaveforsafeearlydischargeandmortalityapredictcovid19ukprospectiveobservationalcohortstudy |