Coronary and total thoracic calcium scores predict mortality and provides pathophysiologic insights in COVID-19 patients.
Aged
Aged, 80 and over
Aorta, Thoracic
/ diagnostic imaging
Aortic Diseases
/ diagnostic imaging
Aortic Valve
/ diagnostic imaging
COVID-19
/ diagnostic imaging
Computed Tomography Angiography
Coronary Vessels
/ diagnostic imaging
Female
Humans
Italy
/ epidemiology
Male
Middle Aged
Pneumonia, Viral
/ diagnostic imaging
Predictive Value of Tests
Retrospective Studies
SARS-CoV-2
Severity of Illness Index
Vascular Calcification
/ diagnostic imaging
Aortic valve
COVID-19
Calcification
Calcium score
Coronary artery
In-hospital mortality
Thoracic aorta
Journal
Journal of cardiovascular computed tomography
ISSN: 1876-861X
Titre abrégé: J Cardiovasc Comput Tomogr
Pays: United States
ID NLM: 101308347
Informations de publication
Date de publication:
Historique:
received:
02
01
2021
revised:
04
03
2021
accepted:
06
03
2021
pubmed:
22
3
2021
medline:
3
9
2021
entrez:
21
3
2021
Statut:
ppublish
Résumé
Coronavirus disease 2019 (COVID-19) has spread worldwide determining dramatic impacts on healthcare systems. Early identification of high-risk parameters is required in order to provide the best therapeutic approach. Coronary, thoracic aorta and aortic valve calcium can be measured from a non-gated chest computer tomography (CT) and are validated predictors of cardiovascular events and all-cause mortality. However, their prognostic role in acute systemic inflammatory diseases, such as COVID-19, has not been investigated. The aim was to evaluate the association of coronary artery calcium and total thoracic calcium on in-hospital mortality in COVID-19 patients. 1093 consecutive patients from 16 Italian hospitals with a positive swab for COVID-19 and an admission chest CT for pneumonia severity assessment were included. At CT, coronary, aortic valve and thoracic aorta calcium were qualitatively and quantitatively evaluated separately and combined together (total thoracic calcium) by a central Core-lab blinded to patients' outcomes. Non-survivors compared to survivors had higher coronary artery [Agatston (467.76 ± 570.92 vs 206.80 ± 424.13 mm Coronary, aortic valve and thoracic aortic calcium assessment on admission non-gated CT permits to stratify the COVID-19 patients in-hospital mortality risk.
Sections du résumé
BACKGROUND
BACKGROUND
Coronavirus disease 2019 (COVID-19) has spread worldwide determining dramatic impacts on healthcare systems. Early identification of high-risk parameters is required in order to provide the best therapeutic approach. Coronary, thoracic aorta and aortic valve calcium can be measured from a non-gated chest computer tomography (CT) and are validated predictors of cardiovascular events and all-cause mortality. However, their prognostic role in acute systemic inflammatory diseases, such as COVID-19, has not been investigated.
OBJECTIVES
OBJECTIVE
The aim was to evaluate the association of coronary artery calcium and total thoracic calcium on in-hospital mortality in COVID-19 patients.
METHODS
METHODS
1093 consecutive patients from 16 Italian hospitals with a positive swab for COVID-19 and an admission chest CT for pneumonia severity assessment were included. At CT, coronary, aortic valve and thoracic aorta calcium were qualitatively and quantitatively evaluated separately and combined together (total thoracic calcium) by a central Core-lab blinded to patients' outcomes.
RESULTS
RESULTS
Non-survivors compared to survivors had higher coronary artery [Agatston (467.76 ± 570.92 vs 206.80 ± 424.13 mm
CONCLUSION
CONCLUSIONS
Coronary, aortic valve and thoracic aortic calcium assessment on admission non-gated CT permits to stratify the COVID-19 patients in-hospital mortality risk.
Identifiants
pubmed: 33744175
pii: S1934-5925(21)00032-0
doi: 10.1016/j.jcct.2021.03.003
pmc: PMC7946543
pii:
doi:
Types de publication
Journal Article
Multicenter Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
421-430Informations de copyright
Copyright © 2021 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.
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