Body composition on low dose chest CT is a significant predictor of poor clinical outcome in COVID-19 disease - A multicenter feasibility study

•Obesity and body composition determined in initial LDCT is a risk factor for SARS‐CoV‐2 infected patients.•An initial LDCT can be used to screen opportunistically for obese COVID-19 patients.•Unfavorable body composition is associated with increased risk for the need of intensive care treatment. Lo...

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Veröffentlicht in:European journal of radiology 2020-11, Vol.132, p.109274-109274, Article 109274
Hauptverfasser: Kottlors, Jonathan, Zopfs, David, Fervers, Philipp, Bremm, Johannes, Abdullayev, Nuran, Maintz, David, Tritt, Stephanie, Persigehl, Thorsten
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Sprache:eng
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Zusammenfassung:•Obesity and body composition determined in initial LDCT is a risk factor for SARS‐CoV‐2 infected patients.•An initial LDCT can be used to screen opportunistically for obese COVID-19 patients.•Unfavorable body composition is associated with increased risk for the need of intensive care treatment. Low-dose computed tomography (LDCT) of the chest is a recommended diagnostic tool in early stage of COVID-19 pneumonia. High age, several comorbidities as well as poor physical fitness can negatively influence the outcome within COVID-19 infection. We investigated whether the ratio of fat to muscle area, measured in initial LDCT, can predict severe progression of COVID-19 in the follow-up period. We analyzed 58 individuals with confirmed COVID-19 infection that underwent an initial LDCT in one of two included centers due to COVID-19 infection. Using the ratio of waist circumference per paravertebral muscle circumference (FMR), the body composition was estimated. Patient outcomes were rated on an ordinal scale with higher numbers representing more severe progression or disease associated complications (hospitalization/ intensive care unit (ICU)/ tracheal intubation/ death) within a follow-up period of 22 days after initial LDCT. In the initial LDCT a significantly higher FMR was found in patients requiring intensive care treatment within the follow-up period. In multivariate logistic regression analysis, FMR (p 
ISSN:0720-048X
1872-7727
DOI:10.1016/j.ejrad.2020.109274