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Heart and Lung Multimodality Imaging in COVID-19

Articolo
Data di Pubblicazione:
2020
Citazione:
Heart and Lung Multimodality Imaging in COVID-19 / Agricola, Eustachio; Beneduce, Alessandro; Esposito, Antonio; Ingallina, Giacomo; Palumbo, Diego; Palmisano, Anna; Ancona, Francesco; Baldetti, Luca; Pagnesi, Matteo; Melisurgo, Giulio; Zangrillo, Alberto; De Cobelli, Francesco. - In: JACC. CARDIOVASCULAR IMAGING. - ISSN 1936-878X. - 13:8(2020), pp. 1792-1808. [10.1016/j.jcmg.2020.05.017]
Abstract:
The severe acute respiratory syndrome-coronavirus-2 outbreak has rapidly reached pandemic proportions and has become a major threat to global health. Although the predominant clinical feature of coronavirus disease-2019 (COVID-19) is an acute respiratory syndrome of varying severity, ranging from mild symptomatic interstitial pneumonia to acute respiratory distress syndrome, the cardiovascular system can be involved in several ways. As many as 40% of patients hospitalized with COVID-19 have histories of cardiovascular disease, and current estimates report a proportion of myocardial injury in patients with COVID-19 of up to 12%. Multiple pathways have been suggested to explain this finding and the related clinical scenarios, encompassing local and systemic inflammatory responses and oxygen supply-demand imbalance. From a clinical point of view, cardiac involvement during COVID-19 may present a wide spectrum of severity, ranging from subclinical myocardial injury to well-defined clinical entities (myocarditis, myocardial infarction, pulmonary embolism, and heart failure), whose incidence and prognostic implications are currently largely unknown because of a significant lack of imaging data. Integrated heart and lung multimodality imaging plays a central role in different clinical settings and is essential in the diagnosis, risk stratification, and management of patients with COVID-19. The aims of this review are to summarize imaging-oriented pathophysiological mechanisms of lung and cardiac involvement in COVID-19 and to provide a guide for integrated imaging assessment in these patients.
Tipologia CRIS:
1.1.1 Articolo in rivista - Review
Elenco autori:
Agricola, Eustachio; Beneduce, Alessandro; Esposito, Antonio; Ingallina, Giacomo; Palumbo, Diego; Palmisano, Anna; Ancona, Francesco; Baldetti, Luca; Pagnesi, Matteo; Melisurgo, Giulio; Zangrillo, Alberto; De Cobelli, Francesco
Autori di Ateneo:
AGRICOLA EUSTACHIO
DE COBELLI FRANCESCO
ESPOSITO ANTONIO
PALMISANO ANNA
PALUMBO DIEGO
ZANGRILLO ALBERTO
Link alla scheda completa:
https://iris.unisr.it/handle/20.500.11768/100688
Pubblicato in:
JACC. CARDIOVASCULAR IMAGING
Journal
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URL

https://www.sciencedirect.com/science/article/pii/S1936878X20304770?via=ihub
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