cw1311qg

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?:abstract	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.
is ?:annotates of	<https://research.tib.eu/covid-19/entity/cw1311qg_hasAnnotation_C3541329>
?:creator	<https://research.tib.eu/covid-19/entity/Grodecki%2C_Kajetan%3B_Lin%2C_Andrew%3B_Cadet%2C_Sebastien%3B_McElhinney%2C_Priscilla_A%3B_Razipour%2C_Aryabod%3B_Chan%2C_Cato%3B_Pressman%2C_Barry%3B_Julien%2C_Peter%3B_Maurovich-Horvat%2C_Pal%3B_Gaibazzi%2C_Nicola%3B_Thakur%2C_Udit%3B_Mancini%2C_Elisabetta%3B_Agalbato%2C_Cecilia%3B_Men%C3%A8%2C_Roberto%3B_Parati%2C_Gianfranco%3B_Cernigliaro%2C_Franco%3B_Nerlekar%2C_Nitesh%3B_Torlasco%2C_Camilla%3B_Pontone%2C_Gianluca%3B_Slomka%2C_Piotr_J%3B_Dey%2C_Damini>
?:doi	<https://research.tib.eu/covid-19/entity/10.1148/ryct.2020200389>
?:doi	10.1148/ryct.2020200389
?:externalLink	<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605078/>
?:journal	Radiol_Cardiothorac_Imaging
?:license	no-cc
?:pdf_json_files	document_parses/pdf_json/e09ef634ce6afcce6a3ce12ee9b10467574ec559.json
?:pmc_json_files	document_parses/pmc_json/PMC7605078.xml.json
?:pmcid	<https://research.tib.eu/covid-19/entity/PMC7605078>
?:publication_isRelatedTo_Disease	<https://research.tib.eu/covid-19/entity/COVID-19>
?:sha_id	<https://research.tib.eu/covid-19/entity/e09ef634ce6afcce6a3ce12ee9b10467574ec559>
?:source	PMC
?:title	Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry
?:type	<https://research.tib.eu/covid-19/vocab/Publication>
?:year	2020-10-01

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?:abstract

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.

is ?:annotates of