The association between clinical laboratory data and chest CT findings explains disease severity in a large Italian cohort of COVID-19 patients

Background Laboratory data and computed tomography (CT) have been used during the COVID-19 pandemic, mainly to determine patient prognosis and guide clinical management. The aim of this study was to evaluate the association between CT findings and laboratory data in a cohort of COVID-19 patients. Me...

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Bibliographic Details
Published in:	BMC infectious diseases Vol. 21; no. 1; pp. 157 - 9
Main Authors:	Canovi, Simone, Besutti, Giulia, Bonelli, Efrem, Iotti, Valentina, Ottone, Marta, Albertazzi, Laura, Zerbini, Alessandro, Pattacini, Pierpaolo, Giorgi Rossi, Paolo, Colla, Rossana, Fasano, Tommaso
Format:	Journal Article
Language:	English
Published:	London BioMed Central 08.02.2021 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Adult Automation Blood pressure Blood tests C-reactive protein C-Reactive Protein - metabolism Chest Clinical laboratory Computed tomography Coronaviruses COVID-19 COVID-19 - blood COVID-19 - diagnosis COVID-19 - physiopathology Creatinine Cross-Sectional Studies CT imaging Emergency medical care Emergency medical services Female Gas exchange Health surveillance Hospitalization Hospitals Humans Infectious Diseases Inflammation Inflammatory response Internal Medicine Italy Laboratory tests Lesions Leukocytes Leukocytes (neutrophilic) Lung - diagnostic imaging Lung - pathology Lungs Lymphocyte Count Lymphocytes Male Medical imaging Medical laboratories Medical Microbiology Medicine Medicine & Public Health Middle Aged Oxygen Oxygen - blood Oxygen content Pandemics Parasitology Partial pressure Pathogenesis Patients Platelets Procalcitonin Procalcitonin - blood Prognosis Pulmonary lesions Research Article Retrospective Studies Severe acute respiratory syndrome coronavirus 2 Severity of Illness Index Software Statistics Tomography, X-Ray Computed Tropical Medicine Viral diseases Italy United States > US COVID-19 Computed tomography Clinical laboratory
ISSN:	1471-2334, 1471-2334
Online Access:	Get full text
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