Universität zu Köln

Fervers, Philipp, Kottlors, Jonathan, Zopfs, David, Bremm, Johannes, Maintz, David, Safarov, Orkhan, Tritt, Stephanie, Abdullayev, Nuran and Persigehl, Thorsten (2020). Calcification of the thoracic aorta on low-dose chest CT predicts severe COVID-19. PLoS One, 15 (12). SAN FRANCISCO: PUBLIC LIBRARY SCIENCE. ISSN 1932-6203

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Abstract

Background Cardiovascular comorbidity anticipates poor prognosis of SARS-CoV-2 disease (COVID-19) and correlates with the systemic atherosclerotic transformation of the arterial vessels. The amount of aortic wall calcification (AWC) can be estimated on low-dose chest CT. We suggest quantification of AWC on the low-dose chest CT, which is initially performed for the diagnosis of COVID-19, to screen for patients at risk of severe COVID-19. Methods Seventy consecutive patients (46 in center 1, 24 in center 2) with parallel low-dose chest CT and positive RT-PCR for SARS-CoV-2 were included in our multi-center, multi-vendor study. The outcome was rated moderate (no hospitalization, hospitalization) and severe (ICU, tracheal intubation, death), the latter implying a requirement for intensive care treatment. The amount of AWC was quantified with the CT vendor's software. Results Of 70 included patients, 38 developed a moderate, and 32 a severe COVID-19. The average volume of AWC was significantly higher throughout the subgroup with severe COVID-19, when compared to moderate cases (771.7 mm(3) (Q1 = 49.8 mm(3), Q3 = 3065.5 mm(3)) vs. 0 mm(3) (Q1 = 0 mm(3), Q3 = 57.3 mm(3))). Within multivariate regression analysis, including AWC, patient age and sex, as well as a cardiovascular comorbidity score, the volume of AWC was the only significant regressor for severe COVID-19 (p = 0.004). For AWC > 3000 mm(3), the logistic regression predicts risk for a severe progression of 0.78. If there are no visually detectable AWC risk for severe progression is 0.13, only. Conclusion AWC seems to be an independent biomarker for the prediction of severe progression and intensive care treatment of COVID-19 already at the time of patient admission to the hospital; verification in a larger multi-center, multi-vendor study is desired.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Fervers, Philipp UNSPECIFIED UNSPECIFIED UNSPECIFIED Kottlors, Jonathan UNSPECIFIED UNSPECIFIED UNSPECIFIED Zopfs, David UNSPECIFIED UNSPECIFIED UNSPECIFIED Bremm, Johannes UNSPECIFIED UNSPECIFIED UNSPECIFIED Maintz, David UNSPECIFIED UNSPECIFIED UNSPECIFIED Safarov, Orkhan UNSPECIFIED UNSPECIFIED UNSPECIFIED Tritt, Stephanie UNSPECIFIED UNSPECIFIED UNSPECIFIED Abdullayev, Nuran UNSPECIFIED UNSPECIFIED UNSPECIFIED Persigehl, Thorsten UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-307467
DOI:	10.1371/journal.pone.0244267
Journal or Publication Title:	PLoS One
Volume:	15
Number:	12
Date:	2020
Publisher:	PUBLIC LIBRARY SCIENCE
Place of Publication:	SAN FRANCISCO
ISSN:	1932-6203
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language COMPUTED-TOMOGRAPHY; RISK-FACTORS; ATHEROSCLEROSIS; DEFINITION; DISEASE Multiple languages Multidisciplinary Sciences Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/30746