Universität zu Köln

Fervers, Philipp ORCID: 0000-0003-3663-3486, Kottlors, Jonathan, Hokamp, Nils Grosse, Bremm, Johannes, Maintz, David, Tritt, Stephanie, Safarov, Orkhan, Persigehl, Thorsten, Vollmar, Nils, Bansmann, Paul Martin and Abdullayev, Nuran ORCID: 0000-0003-4522-537X (2021). Coronary artery calcification on low-dose chest CT is an early predictor of severe progression of COVID-19-A multi-center, multi-vendor study. PLoS One, 16 (7). SAN FRANCISCO: PUBLIC LIBRARY SCIENCE. ISSN 1932-6203

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Abstract

Purpose Cardiovascular comorbidity anticipates severe progression of COVID-19 and becomes evident by coronary artery calcification (CAC) on low-dose chest computed tomography (LDCT). The purpose of this study was to predict a patient's obligation of intensive care treatment by evaluating the coronary calcium burden on the initial diagnostic LDCT. Methods Eighty-nine consecutive patients with parallel LDCT and positive RT-PCR for SARS-CoV-2 were included from three centers. The primary endpoint was admission to ICU, tracheal intubation, or death in the 22-day follow-up period. CAC burden was represented by the Agatston score. Multivariate logistic regression was modeled for prediction of the primary endpoint by the independent variables Agatston score > 0, as well as the CT lung involvement score, patient sex, age, clinical predictors of severe COVID-19 progression (history of hypertension, diabetes, prior cardiovascular event, active smoking, or hyperlipidemia), and laboratory parameters (creatinine, C-reactive protein, leucocyte, as well as thrombocyte counts, relative lymphocyte count, d-dimer, and lactate dehydrogenase levels). Results After excluding multicollinearity, Agatston score >0 was an independent regressor within multivariate analysis for prediction of the primary endpoint (p<0.01). Further independent regressors were creatinine (p = 0.02) and leucocyte count (p = 0.04). The Agatston score was significantly higher for COVID-19 cases which completed the primary endpoint (64.2 [interquartile range 1.7-409.4] vs. 0 [interquartile range 0-0]). Conclusion CAC scoring on LDCT might help to predict future obligation of intensive care treatment at the day of patient admission to the hospital.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Fervers, Philipp UNSPECIFIED orcid.org/0000-0003-3663-3486 UNSPECIFIED Kottlors, Jonathan UNSPECIFIED UNSPECIFIED UNSPECIFIED Hokamp, Nils Grosse UNSPECIFIED UNSPECIFIED UNSPECIFIED Bremm, Johannes UNSPECIFIED UNSPECIFIED UNSPECIFIED Maintz, David UNSPECIFIED UNSPECIFIED UNSPECIFIED Tritt, Stephanie UNSPECIFIED UNSPECIFIED UNSPECIFIED Safarov, Orkhan UNSPECIFIED UNSPECIFIED UNSPECIFIED Persigehl, Thorsten UNSPECIFIED UNSPECIFIED UNSPECIFIED Vollmar, Nils UNSPECIFIED UNSPECIFIED UNSPECIFIED Bansmann, Paul Martin UNSPECIFIED UNSPECIFIED UNSPECIFIED Abdullayev, Nuran UNSPECIFIED orcid.org/0000-0003-4522-537X UNSPECIFIED
URN:	urn:nbn:de:hbz:38-571426
DOI:	10.1371/journal.pone.0255045
Journal or Publication Title:	PLoS One
Volume:	16
Number:	7
Date:	2021
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 DEFINITION Multiple languages Multidisciplinary Sciences Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/57142