Vascular Abnormalities Detected with Chest CT in COVID-19: Spectrum, Association with Parenchymal Lesions, Cardiac Changes, and Correlation with Clinical Severity (COVID-CAVA Study).

Qanadli, Salah D; Sauter, Alexander W; Alkadhi, Hatem; Christe, Andreas; Poletti, Pierre-Alexandre; Ebner, Lukas; Rotzinger, David C (2021). Vascular Abnormalities Detected with Chest CT in COVID-19: Spectrum, Association with Parenchymal Lesions, Cardiac Changes, and Correlation with Clinical Severity (COVID-CAVA Study). Diagnostics, 11(4) MDPI 10.3390/diagnostics11040606

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Although vascular abnormalities are thought to affect coronavirus disease 2019 (COVID-19) patients' outcomes, they have not been thoroughly characterized in large series of unselected patients. The Swiss national registry coronavirus-associated vascular abnormalities (CAVA) is a multicentric cohort of patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection who underwent a clinically indicated chest computed tomography (CT) aiming to assess the prevalence, severity, distribution, and prognostic value of vascular and non-vascular-related CT findings. Clinical outcomes, stratified as outpatient treatment, inpatient without mechanical ventilation, inpatient with mechanical ventilation, or death, will be correlated with CT and biological markers. The main objective is to assess the prevalence of cardiovascular abnormalities-including pulmonary embolism (PE), cardiac morphology, and vascular congestion. Secondary objectives include the predictive value of cardiovascular abnormalities in terms of disease severity and fatal outcome and the association of lung inflammation with vascular abnormalities at the segmental level. New quantitative approaches derived from CT imaging are developed and evaluated in this study. Patients with and without vascular abnormalities will be compared, which is supposed to provide insights into the prognostic role and potential impact of such signs on treatment strategy. Results are expected to enable the development of an integrative score combining both clinical data and imaging findings to predict outcomes.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology

UniBE Contributor:

Christe, Andreas and Ebner, Lukas

Subjects:

600 Technology > 610 Medicine & health

ISSN:

2075-4418

Publisher:

MDPI

Language:

English

Submitter:

Maria de Fatima Henriques Bernardo

Date Deposited:

11 May 2021 16:28

Last Modified:

11 May 2021 16:28

Publisher DOI:

10.3390/diagnostics11040606

PubMed ID:

33805443

Uncontrolled Keywords:

COVID-19 computed tomography perfusion pulmonary embolism respiratory failure vascular congestion

BORIS DOI:

10.48350/155628

URI:

https://boris.unibe.ch/id/eprint/155628

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