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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Radiological Society of North America
2020
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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. |
format | Online Article Text |
id | pubmed-7605078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Radiological Society of North America |
record_format | MEDLINE/PubMed |
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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