Purpose: To examine the independent and incremental value of CT-derived quantitative burden and attenuation of coronavirus disease 2019 (COVID-19) pneumonia for the prediction of clinical deterioration or death.Materials and 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 semiauto-mated research software. The primary outcome was clinical deterioration (intensive care unit admission, invasive mechanical ventila-tion, 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 consisted of 120 patients (mean age, 64 years 6 16 [standard deviation], 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% 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 the Youden index were consolidation of greater than or equal to 1.8% and GGO of greater than or equal to 13.5%. Conclusion: Quantitative burden of consolidation or GGO at chest CT independently predicted clinical deterioration or death in pa-tients 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.

Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry / K. Grodecki, A. Lin, S. Cadet, P.A. Mcelhinney, A. Razipour, C. Chan, B. Pressman, P. Julien, P. Maurovich-Horvat, N. Gaibazzi, U. Thakur, E. Mancini, C. Agalbato, R. Menè, G. Parati, F. Cernigliaro, N. Nerlekar, C. Torlasco, G. Pontone, P.J. Slomka, D. Dey. - In: RADIOLOGY. CARDIOTHORACIC IMAGING. - ISSN 2638-6135. - 2:5(2020 Oct), pp. e200389.1-e200389.10. [10.1148/ryct.2020200389]

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

G. Pontone;
2020

Abstract

Purpose: To examine the independent and incremental value of CT-derived quantitative burden and attenuation of coronavirus disease 2019 (COVID-19) pneumonia for the prediction of clinical deterioration or death.Materials and 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 semiauto-mated research software. The primary outcome was clinical deterioration (intensive care unit admission, invasive mechanical ventila-tion, 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 consisted of 120 patients (mean age, 64 years 6 16 [standard deviation], 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% 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 the Youden index were consolidation of greater than or equal to 1.8% and GGO of greater than or equal to 13.5%. Conclusion: Quantitative burden of consolidation or GGO at chest CT independently predicted clinical deterioration or death in pa-tients 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.
Settore MED/11 - Malattie dell'Apparato Cardiovascolare
ott-2020
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/955134
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