CT-defined pectoralis muscle density predicts 30-Day mortality in hospitalized patients with COVID-19
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Le résumé fourni par la source
\(\textbf {Rationale and Objectives}\) The prognostic role of computed tomography (CT)-defined skeletal muscle features in COVID-19 is still under investigation. The aim of the present study was to evaluate the prognostic role of CT-defined skeletal muscle area and density in patients with COVID-19 in a multicenter setting. \(\textbf {Materials and Methods}\) This retrospective study is a part of the German multicenter project RACOON (Radiological Cooperative Network of the COVID-19 pandemic). The acquired sample included 1379 patients, 389 (28.2%) women and 990 (71.8%) men. In each case, chest CT was analyzed and pectoralis muscle area and density were calculated. Data were analyzed by means of descriptive statistics. Group differences were calculated using the Mann–Whitney-U test and Fisher’s exact test. Univariable and multivariable logistic regression analyses were performed. \(\bf Results\) The 30-day mortality was 17.9%. Using median values as thresholds, low pectoralis muscle density (LPMD) was a strong and independent predictor of 30-day mortality, HR=2.97, 95%-CI: 1.52–5.80, p=0.001. Also in male patients, LPMD predicted independently 30-day mortality, HR=2.96, 95%-CI: 1.42–6.18, p=0.004. In female patients, the analyzed pectoralis muscle parameters did not predict 30-day mortality. For patients under 60 years of age, LPMD was strongly associated with 30-day mortality, HR=2.72, 95%-CI: 1.17;6.30, p=0.019. For patients over 60 years of age, pectoralis muscle parameters could not predict 30-day mortality. \(\bf Conclusion\) In male patients with COVID-19, low pectoralis muscle density is strongly associated with 30-day mortality and can be used for risk stratification. In female patients with COVID-19, pectoralis muscle parameters cannot predict 30-day mortality.
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Goethe University Frankfurt pays non établi dans la noticeUniversité ou école supérieure
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University Hospital Frankfurt From the Institute of Diagnostic and Interventional Radiology pays non établi dans la noticeÉtablissement de santé
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RWTH Aachen University pays non établi dans la noticeUniversité ou école supérieure
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University Hospital in Halle pays non établi dans la noticeÉtablissement de santé
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Johannes Gutenberg University Mainz pays non établi dans la noticeUniversité ou école supérieure
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University Medical Center of the Johannes Gutenberg University Mainz pays non établi dans la noticeÉtablissement de santé
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Essen University Hospital pays non établi dans la noticeOrganisme public
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Hannover Re (Germany) pays non établi dans la noticeEntreprise
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University Hospital RWTH Aachen Department of Diagnostic Interventional Radiology pays non établi dans la noticeUniversité ou école supérieure
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University Hospital of Halle Department of Radiology pays non établi dans la noticeUniversité ou école supérieure
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University Medical Center Mainz Department of Diagnostic and Interventional Radiology pays non établi dans la noticeUniversité ou école supérieure
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University Hospital Essen • Institute of Diagnostic and Interventional Radiology and Neuroradiology pays non établi dans la noticeUniversité ou école supérieure
Goethe University Frankfurt, From the Institute of Diagnostic and Interventional Radiology — University Hospital Frankfurt et RWTH Aachen University, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.