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Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19: The PRIEST observational cohort study
OBJECTIVES: We aimed to derive and validate a triage tool, based on clinical assessment alone, for predicting adverse outcome in acutely ill adults with suspected COVID-19 infection. METHODS: We undertook a mixed prospective and retrospective observational cohort study in 70 emergency departments ac...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822515/ https://www.ncbi.nlm.nih.gov/pubmed/33481930 http://dx.doi.org/10.1371/journal.pone.0245840 |
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author | Goodacre, Steve Thomas, Ben Sutton, Laura Burnsall, Matthew Lee, Ellen Bradburn, Mike Loban, Amanda Waterhouse, Simon Simmonds, Richard Biggs, Katie Marincowitz, Carl Schutter, Jose Connelly, Sarah Sheldon, Elena Hall, Jamie Young, Emma Bentley, Andrew Challen, Kirsty Fitzsimmons, Chris Harris, Tim Lecky, Fiona Lee, Andrew Maconochie, Ian Walter, Darren |
author_facet | Goodacre, Steve Thomas, Ben Sutton, Laura Burnsall, Matthew Lee, Ellen Bradburn, Mike Loban, Amanda Waterhouse, Simon Simmonds, Richard Biggs, Katie Marincowitz, Carl Schutter, Jose Connelly, Sarah Sheldon, Elena Hall, Jamie Young, Emma Bentley, Andrew Challen, Kirsty Fitzsimmons, Chris Harris, Tim Lecky, Fiona Lee, Andrew Maconochie, Ian Walter, Darren |
author_sort | Goodacre, Steve |
collection | PubMed |
description | OBJECTIVES: We aimed to derive and validate a triage tool, based on clinical assessment alone, for predicting adverse outcome in acutely ill adults with suspected COVID-19 infection. METHODS: We undertook a mixed prospective and retrospective observational cohort study in 70 emergency departments across the United Kingdom (UK). We collected presenting data from 22445 people attending with suspected COVID-19 between 26 March 2020 and 28 May 2020. The primary outcome was death or organ support (respiratory, cardiovascular, or renal) by record review at 30 days. We split the cohort into derivation and validation sets, developed a clinical score based on the coefficients from multivariable analysis using the derivation set, and the estimated discriminant performance using the validation set. RESULTS: We analysed 11773 derivation and 9118 validation cases. Multivariable analysis identified that age, sex, respiratory rate, systolic blood pressure, oxygen saturation/inspired oxygen ratio, performance status, consciousness, history of renal impairment, and respiratory distress were retained in analyses restricted to the ten or fewer predictors. We used findings from multivariable analysis and clinical judgement to develop a score based on the NEWS2 score, age, sex, and performance status. This had a c-statistic of 0.80 (95% confidence interval 0.79–0.81) in the validation cohort and predicted adverse outcome with sensitivity 0.98 (0.97–0.98) and specificity 0.34 (0.34–0.35) for scores above four points. CONCLUSION: A clinical score based on NEWS2, age, sex, and performance status predicts adverse outcome with good discrimination in adults with suspected COVID-19 and can be used to support decision-making in emergency care. REGISTRATION: ISRCTN registry, ISRCTN28342533, http://www.isrctn.com/ISRCTN28342533 |
format | Online Article Text |
id | pubmed-7822515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-78225152021-01-29 Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19: The PRIEST observational cohort study Goodacre, Steve Thomas, Ben Sutton, Laura Burnsall, Matthew Lee, Ellen Bradburn, Mike Loban, Amanda Waterhouse, Simon Simmonds, Richard Biggs, Katie Marincowitz, Carl Schutter, Jose Connelly, Sarah Sheldon, Elena Hall, Jamie Young, Emma Bentley, Andrew Challen, Kirsty Fitzsimmons, Chris Harris, Tim Lecky, Fiona Lee, Andrew Maconochie, Ian Walter, Darren PLoS One Research Article OBJECTIVES: We aimed to derive and validate a triage tool, based on clinical assessment alone, for predicting adverse outcome in acutely ill adults with suspected COVID-19 infection. METHODS: We undertook a mixed prospective and retrospective observational cohort study in 70 emergency departments across the United Kingdom (UK). We collected presenting data from 22445 people attending with suspected COVID-19 between 26 March 2020 and 28 May 2020. The primary outcome was death or organ support (respiratory, cardiovascular, or renal) by record review at 30 days. We split the cohort into derivation and validation sets, developed a clinical score based on the coefficients from multivariable analysis using the derivation set, and the estimated discriminant performance using the validation set. RESULTS: We analysed 11773 derivation and 9118 validation cases. Multivariable analysis identified that age, sex, respiratory rate, systolic blood pressure, oxygen saturation/inspired oxygen ratio, performance status, consciousness, history of renal impairment, and respiratory distress were retained in analyses restricted to the ten or fewer predictors. We used findings from multivariable analysis and clinical judgement to develop a score based on the NEWS2 score, age, sex, and performance status. This had a c-statistic of 0.80 (95% confidence interval 0.79–0.81) in the validation cohort and predicted adverse outcome with sensitivity 0.98 (0.97–0.98) and specificity 0.34 (0.34–0.35) for scores above four points. CONCLUSION: A clinical score based on NEWS2, age, sex, and performance status predicts adverse outcome with good discrimination in adults with suspected COVID-19 and can be used to support decision-making in emergency care. REGISTRATION: ISRCTN registry, ISRCTN28342533, http://www.isrctn.com/ISRCTN28342533 Public Library of Science 2021-01-22 /pmc/articles/PMC7822515/ /pubmed/33481930 http://dx.doi.org/10.1371/journal.pone.0245840 Text en © 2021 Goodacre et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Goodacre, Steve Thomas, Ben Sutton, Laura Burnsall, Matthew Lee, Ellen Bradburn, Mike Loban, Amanda Waterhouse, Simon Simmonds, Richard Biggs, Katie Marincowitz, Carl Schutter, Jose Connelly, Sarah Sheldon, Elena Hall, Jamie Young, Emma Bentley, Andrew Challen, Kirsty Fitzsimmons, Chris Harris, Tim Lecky, Fiona Lee, Andrew Maconochie, Ian Walter, Darren Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19: The PRIEST observational cohort study |
title | Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19: The PRIEST observational cohort study |
title_full | Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19: The PRIEST observational cohort study |
title_fullStr | Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19: The PRIEST observational cohort study |
title_full_unstemmed | Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19: The PRIEST observational cohort study |
title_short | Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19: The PRIEST observational cohort study |
title_sort | derivation and validation of a clinical severity score for acutely ill adults with suspected covid-19: the priest observational cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822515/ https://www.ncbi.nlm.nih.gov/pubmed/33481930 http://dx.doi.org/10.1371/journal.pone.0245840 |
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