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Hallazgos tomográficos entre sobrevivientes y no-sobrevivientes con COVID-19 y utilidad clínica de una puntuación de tomografía torácica

BACKGROUND: Many patients with coronavirus disease 2019 (COVID-19) have been diagnosed with computed tomography (CT). A prognostic tool based on CT findings could be useful for predicting death from COVID-19. OBJECTIVES: To compare the chest CT findings of patients who survived COVID-19 versus those...

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Autores principales: Collado-Chagoya, R., Hernández-Chavero, H., Ordinola Navarro, A., Castillo-Castillo, D., Quiroz-Meléndez, J.G., González-Veyrand, E., López Luis, B.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SERAM. Published by Elsevier España, S.L.U. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542458/
https://www.ncbi.nlm.nih.gov/pubmed/35369572
http://dx.doi.org/10.1016/j.rx.2021.09.010
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author Collado-Chagoya, R.
Hernández-Chavero, H.
Ordinola Navarro, A.
Castillo-Castillo, D.
Quiroz-Meléndez, J.G.
González-Veyrand, E.
López Luis, B.A.
author_facet Collado-Chagoya, R.
Hernández-Chavero, H.
Ordinola Navarro, A.
Castillo-Castillo, D.
Quiroz-Meléndez, J.G.
González-Veyrand, E.
López Luis, B.A.
author_sort Collado-Chagoya, R.
collection PubMed
description BACKGROUND: Many patients with coronavirus disease 2019 (COVID-19) have been diagnosed with computed tomography (CT). A prognostic tool based on CT findings could be useful for predicting death from COVID-19. OBJECTIVES: To compare the chest CT findings of patients who survived COVID-19 versus those of patients who died of COVID-19 and to determine the usefulness the clinical usefulness of a CT scoring system for COVID-19. METHODS: We included 124 patients with confirmed SARS-CoV-2 infections who were hospitalized between April 1, 2020 and July 25, 2020. RESULTS: Whereas ground-glass opacities were the most common characteristic finding in survivors (75%), crazy paving was the most characteristic finding in non-survivors (65%). Atypical findings were present in 46% of patients. The chest CT score was directly proportional to mortality; a score ≥ 18 was the best cutoff for predicting death, yielding 70% sensitivity (95%CI: 47%-87%). CONCLUSIONS: Our results suggest that atypical lesions are more prevalent in this cohort. The chest CT score had high sensitivity for predicting hospital mortality
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spelling pubmed-85424582021-10-25 Hallazgos tomográficos entre sobrevivientes y no-sobrevivientes con COVID-19 y utilidad clínica de una puntuación de tomografía torácica Collado-Chagoya, R. Hernández-Chavero, H. Ordinola Navarro, A. Castillo-Castillo, D. Quiroz-Meléndez, J.G. González-Veyrand, E. López Luis, B.A. Radiologia Original BACKGROUND: Many patients with coronavirus disease 2019 (COVID-19) have been diagnosed with computed tomography (CT). A prognostic tool based on CT findings could be useful for predicting death from COVID-19. OBJECTIVES: To compare the chest CT findings of patients who survived COVID-19 versus those of patients who died of COVID-19 and to determine the usefulness the clinical usefulness of a CT scoring system for COVID-19. METHODS: We included 124 patients with confirmed SARS-CoV-2 infections who were hospitalized between April 1, 2020 and July 25, 2020. RESULTS: Whereas ground-glass opacities were the most common characteristic finding in survivors (75%), crazy paving was the most characteristic finding in non-survivors (65%). Atypical findings were present in 46% of patients. The chest CT score was directly proportional to mortality; a score ≥ 18 was the best cutoff for predicting death, yielding 70% sensitivity (95%CI: 47%-87%). CONCLUSIONS: Our results suggest that atypical lesions are more prevalent in this cohort. The chest CT score had high sensitivity for predicting hospital mortality SERAM. Published by Elsevier España, S.L.U. 2022 2021-10-25 /pmc/articles/PMC8542458/ /pubmed/35369572 http://dx.doi.org/10.1016/j.rx.2021.09.010 Text en © 2021 SERAM. Published by Elsevier España, S.L.U. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original
Collado-Chagoya, R.
Hernández-Chavero, H.
Ordinola Navarro, A.
Castillo-Castillo, D.
Quiroz-Meléndez, J.G.
González-Veyrand, E.
López Luis, B.A.
Hallazgos tomográficos entre sobrevivientes y no-sobrevivientes con COVID-19 y utilidad clínica de una puntuación de tomografía torácica
title Hallazgos tomográficos entre sobrevivientes y no-sobrevivientes con COVID-19 y utilidad clínica de una puntuación de tomografía torácica
title_full Hallazgos tomográficos entre sobrevivientes y no-sobrevivientes con COVID-19 y utilidad clínica de una puntuación de tomografía torácica
title_fullStr Hallazgos tomográficos entre sobrevivientes y no-sobrevivientes con COVID-19 y utilidad clínica de una puntuación de tomografía torácica
title_full_unstemmed Hallazgos tomográficos entre sobrevivientes y no-sobrevivientes con COVID-19 y utilidad clínica de una puntuación de tomografía torácica
title_short Hallazgos tomográficos entre sobrevivientes y no-sobrevivientes con COVID-19 y utilidad clínica de una puntuación de tomografía torácica
title_sort hallazgos tomográficos entre sobrevivientes y no-sobrevivientes con covid-19 y utilidad clínica de una puntuación de tomografía torácica
topic Original
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542458/
https://www.ncbi.nlm.nih.gov/pubmed/35369572
http://dx.doi.org/10.1016/j.rx.2021.09.010
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