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The role of a chest computed tomography severity score in coronavirus disease 2019 pneumonia

The chest computed tomography (CT) characteristics of coronavirus disease 2019 (COVID-19) are important for diagnostic and prognostic purposes. The aim of this study was to investigate chest CT findings in COVID-19 patients in order to determine the optimal cut-off value of a CT severity score that...

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Autores principales: Salaffi, Fausto, Carotti, Marina, Tardella, Marika, Borgheresi, Alessandra, Agostini, Andrea, Minorati, Davide, Marotto, Daniela, Di Carlo, Marco, Galli, Massimo, Giovagnoni, Andrea, Sarzi-Puttini, Piercarlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571935/
https://www.ncbi.nlm.nih.gov/pubmed/33080676
http://dx.doi.org/10.1097/MD.0000000000022433
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author Salaffi, Fausto
Carotti, Marina
Tardella, Marika
Borgheresi, Alessandra
Agostini, Andrea
Minorati, Davide
Marotto, Daniela
Di Carlo, Marco
Galli, Massimo
Giovagnoni, Andrea
Sarzi-Puttini, Piercarlo
author_facet Salaffi, Fausto
Carotti, Marina
Tardella, Marika
Borgheresi, Alessandra
Agostini, Andrea
Minorati, Davide
Marotto, Daniela
Di Carlo, Marco
Galli, Massimo
Giovagnoni, Andrea
Sarzi-Puttini, Piercarlo
author_sort Salaffi, Fausto
collection PubMed
description The chest computed tomography (CT) characteristics of coronavirus disease 2019 (COVID-19) are important for diagnostic and prognostic purposes. The aim of this study was to investigate chest CT findings in COVID-19 patients in order to determine the optimal cut-off value of a CT severity score that can be considered a potential prognostic indicator of a severe/critical outcome. The CT findings were evaluated by means of a severity score that included the extent (0–4 grading scale) and nature (0–4 grading scale) of CT abnormalities. The images were evaluated at 3 levels bilaterally. A receiver operating characteristics (ROC) curve was used to identify the optimal score (Youden's index) predicting severe/critical COVID-19. The study involved 165 COVID-19 patients (131 men [79.4%] and 34 women [20.6%] with a mean age of 61.5 ± 12.5 years), of whom 30 (18.2%) had severe/critical disease and 135 (81.8%) mild/typical disease. The most frequent CT finding was bilateral predominantly subpleural and basilar airspace changes, with more extensive ground-glass opacities than consolidation. CT findings of consolidation, a crazy-paving pattern, linear opacities, air bronchogram, and extrapulmonary lesions correlated with severe/critical COVID-19. The mean CT severity score was 63.95 in the severe/critical group, and 35.62 in the mild/typical group (P < .001). ROC curve analysis showed that a CT severity score of 38 predicted the development of severe/critical symptoms. A CT severity score can help the risk stratification of COVID-19 patients.
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spelling pubmed-75719352020-10-29 The role of a chest computed tomography severity score in coronavirus disease 2019 pneumonia Salaffi, Fausto Carotti, Marina Tardella, Marika Borgheresi, Alessandra Agostini, Andrea Minorati, Davide Marotto, Daniela Di Carlo, Marco Galli, Massimo Giovagnoni, Andrea Sarzi-Puttini, Piercarlo Medicine (Baltimore) 4900 The chest computed tomography (CT) characteristics of coronavirus disease 2019 (COVID-19) are important for diagnostic and prognostic purposes. The aim of this study was to investigate chest CT findings in COVID-19 patients in order to determine the optimal cut-off value of a CT severity score that can be considered a potential prognostic indicator of a severe/critical outcome. The CT findings were evaluated by means of a severity score that included the extent (0–4 grading scale) and nature (0–4 grading scale) of CT abnormalities. The images were evaluated at 3 levels bilaterally. A receiver operating characteristics (ROC) curve was used to identify the optimal score (Youden's index) predicting severe/critical COVID-19. The study involved 165 COVID-19 patients (131 men [79.4%] and 34 women [20.6%] with a mean age of 61.5 ± 12.5 years), of whom 30 (18.2%) had severe/critical disease and 135 (81.8%) mild/typical disease. The most frequent CT finding was bilateral predominantly subpleural and basilar airspace changes, with more extensive ground-glass opacities than consolidation. CT findings of consolidation, a crazy-paving pattern, linear opacities, air bronchogram, and extrapulmonary lesions correlated with severe/critical COVID-19. The mean CT severity score was 63.95 in the severe/critical group, and 35.62 in the mild/typical group (P < .001). ROC curve analysis showed that a CT severity score of 38 predicted the development of severe/critical symptoms. A CT severity score can help the risk stratification of COVID-19 patients. Lippincott Williams & Wilkins 2020-10-16 /pmc/articles/PMC7571935/ /pubmed/33080676 http://dx.doi.org/10.1097/MD.0000000000022433 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle 4900
Salaffi, Fausto
Carotti, Marina
Tardella, Marika
Borgheresi, Alessandra
Agostini, Andrea
Minorati, Davide
Marotto, Daniela
Di Carlo, Marco
Galli, Massimo
Giovagnoni, Andrea
Sarzi-Puttini, Piercarlo
The role of a chest computed tomography severity score in coronavirus disease 2019 pneumonia
title The role of a chest computed tomography severity score in coronavirus disease 2019 pneumonia
title_full The role of a chest computed tomography severity score in coronavirus disease 2019 pneumonia
title_fullStr The role of a chest computed tomography severity score in coronavirus disease 2019 pneumonia
title_full_unstemmed The role of a chest computed tomography severity score in coronavirus disease 2019 pneumonia
title_short The role of a chest computed tomography severity score in coronavirus disease 2019 pneumonia
title_sort role of a chest computed tomography severity score in coronavirus disease 2019 pneumonia
topic 4900
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571935/
https://www.ncbi.nlm.nih.gov/pubmed/33080676
http://dx.doi.org/10.1097/MD.0000000000022433
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