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Sextus chest radiograph severity score correlates to clinical outcomes in patients with COVID-19: A cross-sectional study

The value of chest radiography (CXR) in detection and as an outcome predictor in the management of patients with coronavirus disease-2019 (COVID-19) has not yet been fully understood. To validate a standardized CXR scoring system and assess its prognostic value in hospitalized patients found to have...

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Autores principales: Sun, Justin, Yu, Daohai, Yoo, Kevin, Choi, Robert, Lu, Xiaoning, Standiford, Taylor, Cohen, Gary, Marchetti, Nathaniel, Agosto, Omar, Kumaran, Maruti, Maresky, Hillel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545010/
https://www.ncbi.nlm.nih.gov/pubmed/34766569
http://dx.doi.org/10.1097/MD.0000000000027663
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author Sun, Justin
Yu, Daohai
Yoo, Kevin
Choi, Robert
Lu, Xiaoning
Standiford, Taylor
Cohen, Gary
Marchetti, Nathaniel
Agosto, Omar
Kumaran, Maruti
Maresky, Hillel
author_facet Sun, Justin
Yu, Daohai
Yoo, Kevin
Choi, Robert
Lu, Xiaoning
Standiford, Taylor
Cohen, Gary
Marchetti, Nathaniel
Agosto, Omar
Kumaran, Maruti
Maresky, Hillel
author_sort Sun, Justin
collection PubMed
description The value of chest radiography (CXR) in detection and as an outcome predictor in the management of patients with coronavirus disease-2019 (COVID-19) has not yet been fully understood. To validate a standardized CXR scoring system and assess its prognostic value in hospitalized patients found to have COVID-19 by imaging criteria and to compare it to computed tomography (CT). In this cross-sectional chart review study, patients aged 18-years or older who underwent chest CT at a single institution with an imaging-based diagnosis of COVID-19 between March 15, 2020 to April 15, 2020 were included. Each patient's CXR and coronal CT were analyzed for opacities in a 6-zonal assessment method and aggregated into a “Sextus score.” Inter-reader variability and correlation between CXR and coronal CT images were investigated to validate this scoring system. Univariable and multiple logistic regression techniques were used to investigate relationships between CXR scores and clinical parameters in relation to patient outcomes. One hundred twenty-four patients (median [interquartile range] age 58.5 [47.5–69.0] years, 72 [58%] men, 58 [47%] Blacks, and 35 [28%] Hispanics) were included. The CXR Sextus score (range: 0–6) was reliable (inter-rater kappa = 0.76; 95% confidence interval [CI]: 0.69–0.83) and correlated strongly with the CT Sextus score (Spearman correlation coefficient = 0.75, P < .0001). Incremental increases of CXR Sextus scores of 2 points were found to be an independent predictor of intubation (adjusted odds ratio [95% CI]: 4.49 [1.98, 10.20], P = .0003) and prolonged hospitalization (≥10 days) (adjusted odds ratio [95% CI]: 4.06 [1.98, 8.32], P = .0001). The CXR Sextus score was found to be reproducible and CXR-CT severity scores were closely correlated. Increasing Sextus scores were associated with increased risks for intubation and prolonged hospitalization for patients with COVID-19 in a predominantly Black population. The CXR Sextus score may provide insight into identifying and monitoring high-risk patients with COVID-19.
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spelling pubmed-105450102023-10-03 Sextus chest radiograph severity score correlates to clinical outcomes in patients with COVID-19: A cross-sectional study Sun, Justin Yu, Daohai Yoo, Kevin Choi, Robert Lu, Xiaoning Standiford, Taylor Cohen, Gary Marchetti, Nathaniel Agosto, Omar Kumaran, Maruti Maresky, Hillel Medicine (Baltimore) 6800 The value of chest radiography (CXR) in detection and as an outcome predictor in the management of patients with coronavirus disease-2019 (COVID-19) has not yet been fully understood. To validate a standardized CXR scoring system and assess its prognostic value in hospitalized patients found to have COVID-19 by imaging criteria and to compare it to computed tomography (CT). In this cross-sectional chart review study, patients aged 18-years or older who underwent chest CT at a single institution with an imaging-based diagnosis of COVID-19 between March 15, 2020 to April 15, 2020 were included. Each patient's CXR and coronal CT were analyzed for opacities in a 6-zonal assessment method and aggregated into a “Sextus score.” Inter-reader variability and correlation between CXR and coronal CT images were investigated to validate this scoring system. Univariable and multiple logistic regression techniques were used to investigate relationships between CXR scores and clinical parameters in relation to patient outcomes. One hundred twenty-four patients (median [interquartile range] age 58.5 [47.5–69.0] years, 72 [58%] men, 58 [47%] Blacks, and 35 [28%] Hispanics) were included. The CXR Sextus score (range: 0–6) was reliable (inter-rater kappa = 0.76; 95% confidence interval [CI]: 0.69–0.83) and correlated strongly with the CT Sextus score (Spearman correlation coefficient = 0.75, P < .0001). Incremental increases of CXR Sextus scores of 2 points were found to be an independent predictor of intubation (adjusted odds ratio [95% CI]: 4.49 [1.98, 10.20], P = .0003) and prolonged hospitalization (≥10 days) (adjusted odds ratio [95% CI]: 4.06 [1.98, 8.32], P = .0001). The CXR Sextus score was found to be reproducible and CXR-CT severity scores were closely correlated. Increasing Sextus scores were associated with increased risks for intubation and prolonged hospitalization for patients with COVID-19 in a predominantly Black population. The CXR Sextus score may provide insight into identifying and monitoring high-risk patients with COVID-19. Lippincott Williams & Wilkins 2021-11-12 /pmc/articles/PMC10545010/ /pubmed/34766569 http://dx.doi.org/10.1097/MD.0000000000027663 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://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 (https://creativecommons.org/licenses/by/4.0/)
spellingShingle 6800
Sun, Justin
Yu, Daohai
Yoo, Kevin
Choi, Robert
Lu, Xiaoning
Standiford, Taylor
Cohen, Gary
Marchetti, Nathaniel
Agosto, Omar
Kumaran, Maruti
Maresky, Hillel
Sextus chest radiograph severity score correlates to clinical outcomes in patients with COVID-19: A cross-sectional study
title Sextus chest radiograph severity score correlates to clinical outcomes in patients with COVID-19: A cross-sectional study
title_full Sextus chest radiograph severity score correlates to clinical outcomes in patients with COVID-19: A cross-sectional study
title_fullStr Sextus chest radiograph severity score correlates to clinical outcomes in patients with COVID-19: A cross-sectional study
title_full_unstemmed Sextus chest radiograph severity score correlates to clinical outcomes in patients with COVID-19: A cross-sectional study
title_short Sextus chest radiograph severity score correlates to clinical outcomes in patients with COVID-19: A cross-sectional study
title_sort sextus chest radiograph severity score correlates to clinical outcomes in patients with covid-19: a cross-sectional study
topic 6800
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545010/
https://www.ncbi.nlm.nih.gov/pubmed/34766569
http://dx.doi.org/10.1097/MD.0000000000027663
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