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Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry

PURPOSE: To examine the independent and incremental value of CT-derived quantitative burden and attenuation of COVID-19 pneumonia for the prediction of clinical deterioration or death. METHODS: This was a retrospective analysis of a prospective international registry of consecutive patients with lab...

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Autores principales: Grodecki, Kajetan, Lin, Andrew, Cadet, Sebastien, McElhinney, Priscilla A, Razipour, Aryabod, Chan, Cato, Pressman, Barry, Julien, Peter, Maurovich-Horvat, Pal, Gaibazzi, Nicola, Thakur, Udit, Mancini, Elisabetta, Agalbato, Cecilia, Menè, Roberto, Parati, Gianfranco, Cernigliaro, Franco, Nerlekar, Nitesh, Torlasco, Camilla, Pontone, Gianluca, Slomka, Piotr J, Dey, Damini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Radiological Society of North America 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605078/
https://www.ncbi.nlm.nih.gov/pubmed/33778629
http://dx.doi.org/10.1148/ryct.2020200389
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author Grodecki, Kajetan
Lin, Andrew
Cadet, Sebastien
McElhinney, Priscilla A
Razipour, Aryabod
Chan, Cato
Pressman, Barry
Julien, Peter
Maurovich-Horvat, Pal
Gaibazzi, Nicola
Thakur, Udit
Mancini, Elisabetta
Agalbato, Cecilia
Menè, Roberto
Parati, Gianfranco
Cernigliaro, Franco
Nerlekar, Nitesh
Torlasco, Camilla
Pontone, Gianluca
Slomka, Piotr J
Dey, Damini
author_facet Grodecki, Kajetan
Lin, Andrew
Cadet, Sebastien
McElhinney, Priscilla A
Razipour, Aryabod
Chan, Cato
Pressman, Barry
Julien, Peter
Maurovich-Horvat, Pal
Gaibazzi, Nicola
Thakur, Udit
Mancini, Elisabetta
Agalbato, Cecilia
Menè, Roberto
Parati, Gianfranco
Cernigliaro, Franco
Nerlekar, Nitesh
Torlasco, Camilla
Pontone, Gianluca
Slomka, Piotr J
Dey, Damini
author_sort Grodecki, Kajetan
collection PubMed
description PURPOSE: To examine the independent and incremental value of CT-derived quantitative burden and attenuation of COVID-19 pneumonia for the prediction of clinical deterioration or death. METHODS: This was a retrospective analysis of a prospective international registry of consecutive patients with laboratory-confirmed COVID-19 and chest CT imaging, admitted to four centers between January 10 and May 6, 2020. Total burden (expressed as a percentage) and mean attenuation of ground glass opacities (GGO) and consolidation were quantified from CT using semi-automated research software. The primary outcome was clinical deterioration (intensive care unit admission, invasive mechanical ventilation, or vasopressor therapy) or in-hospital death. Logistic regression was performed to assess the predictive value of clinical and CT parameters for the primary outcome. RESULTS: The final population comprised 120 patients (mean age 64 ± 16 years, 78 men), of whom 39 (32.5%) experienced clinical deterioration or death. In multivariable regression of clinical and CT parameters, consolidation burden (odds ratio [OR], 3.4; 95% confidence interval [CI]: 1.7, 6.9 per doubling; P = .001) and increasing GGO attenuation (OR, 3.2; 95% CI: 1.3, 8.3 per standard deviation, P = .02) were independent predictors of deterioration or death; as was C-reactive protein (OR, 2.1; 95% CI: 1.3, 3.4 per doubling; P = .004), history of heart failure (OR 1.3; 95% CI: 1.1, 1.6, P = .01), and chronic lung disease (OR, 1.3; 95% CI: 1.0, 1.6; P = .02). Quantitative CT measures added incremental predictive value beyond a model with only clinical parameters (area under the curve, 0.93 vs 0.82, P = .006). The optimal prognostic cutoffs for burden of COVID-19 pneumonia as determined by Youden’s index were consolidation of greater than or equal to 1.8% and GGO of greater than or equal to 13.5%. CONCLUSIONS: Quantitative burden of consolidation or GGO on chest CT independently predict clinical deterioration or death in patients with COVID-19 pneumonia. CT-derived measures have incremental prognostic value over and above clinical parameters, and may be useful for risk stratifying patients with COVID-19.
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spelling pubmed-76050782020-11-06 Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry Grodecki, Kajetan Lin, Andrew Cadet, Sebastien McElhinney, Priscilla A Razipour, Aryabod Chan, Cato Pressman, Barry Julien, Peter Maurovich-Horvat, Pal Gaibazzi, Nicola Thakur, Udit Mancini, Elisabetta Agalbato, Cecilia Menè, Roberto Parati, Gianfranco Cernigliaro, Franco Nerlekar, Nitesh Torlasco, Camilla Pontone, Gianluca Slomka, Piotr J Dey, Damini Radiol Cardiothorac Imaging Original Research PURPOSE: To examine the independent and incremental value of CT-derived quantitative burden and attenuation of COVID-19 pneumonia for the prediction of clinical deterioration or death. METHODS: This was a retrospective analysis of a prospective international registry of consecutive patients with laboratory-confirmed COVID-19 and chest CT imaging, admitted to four centers between January 10 and May 6, 2020. Total burden (expressed as a percentage) and mean attenuation of ground glass opacities (GGO) and consolidation were quantified from CT using semi-automated research software. The primary outcome was clinical deterioration (intensive care unit admission, invasive mechanical ventilation, or vasopressor therapy) or in-hospital death. Logistic regression was performed to assess the predictive value of clinical and CT parameters for the primary outcome. RESULTS: The final population comprised 120 patients (mean age 64 ± 16 years, 78 men), of whom 39 (32.5%) experienced clinical deterioration or death. In multivariable regression of clinical and CT parameters, consolidation burden (odds ratio [OR], 3.4; 95% confidence interval [CI]: 1.7, 6.9 per doubling; P = .001) and increasing GGO attenuation (OR, 3.2; 95% CI: 1.3, 8.3 per standard deviation, P = .02) were independent predictors of deterioration or death; as was C-reactive protein (OR, 2.1; 95% CI: 1.3, 3.4 per doubling; P = .004), history of heart failure (OR 1.3; 95% CI: 1.1, 1.6, P = .01), and chronic lung disease (OR, 1.3; 95% CI: 1.0, 1.6; P = .02). Quantitative CT measures added incremental predictive value beyond a model with only clinical parameters (area under the curve, 0.93 vs 0.82, P = .006). The optimal prognostic cutoffs for burden of COVID-19 pneumonia as determined by Youden’s index were consolidation of greater than or equal to 1.8% and GGO of greater than or equal to 13.5%. CONCLUSIONS: Quantitative burden of consolidation or GGO on chest CT independently predict clinical deterioration or death in patients with COVID-19 pneumonia. CT-derived measures have incremental prognostic value over and above clinical parameters, and may be useful for risk stratifying patients with COVID-19. Radiological Society of North America 2020-10-01 /pmc/articles/PMC7605078/ /pubmed/33778629 http://dx.doi.org/10.1148/ryct.2020200389 Text en 2020 by the Radiological Society of North America, Inc. This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.
spellingShingle Original Research
Grodecki, Kajetan
Lin, Andrew
Cadet, Sebastien
McElhinney, Priscilla A
Razipour, Aryabod
Chan, Cato
Pressman, Barry
Julien, Peter
Maurovich-Horvat, Pal
Gaibazzi, Nicola
Thakur, Udit
Mancini, Elisabetta
Agalbato, Cecilia
Menè, Roberto
Parati, Gianfranco
Cernigliaro, Franco
Nerlekar, Nitesh
Torlasco, Camilla
Pontone, Gianluca
Slomka, Piotr J
Dey, Damini
Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry
title Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry
title_full Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry
title_fullStr Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry
title_full_unstemmed Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry
title_short Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry
title_sort quantitative burden of covid-19 pneumonia on chest ct predicts adverse outcomes: a post-hoc analysis of a prospective international registry
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605078/
https://www.ncbi.nlm.nih.gov/pubmed/33778629
http://dx.doi.org/10.1148/ryct.2020200389
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