CT Scan-Derived Muscle, But Not Fat, Area Independently Predicts Mortality in COVID-19

Sophie I J van Bakel1, Hester A Gietema2, Patricia M Stassen3

  • 1Department of Respiratory Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, the Netherlands.

Chest
|March 9, 2023
PubMed

Insights

Low pectoralis muscle cross-sectional area (CSA) on CT scans predicts higher 30-day mortality in COVID-19 patients. This finding is independent of the 4C Mortality Score, offering a new predictor for severe outcomes.

Area of Science:

  • Radiology
  • Pulmonology
  • Critical Care Medicine

Background:

  • COVID-19 presents a wide spectrum of disease severity.
  • The 4C Mortality Score accurately predicts mortality in COVID-19 patients.
  • Low muscle and high adipose tissue areas on CT scans are linked to adverse COVID-19 outcomes.

Purpose of the Study:

  • To determine if CT scan-derived muscle and adipose tissue cross-sectional areas (CSAs) are associated with 30-day in-hospital mortality in COVID-19 patients.
  • To assess the independence of this association from the 4C Mortality Score.

Main Methods:

  • Retrospective cohort analysis of 578 COVID-19 patients during the first pandemic wave.
  • Skeletal muscle and adipose tissue CSAs were measured from routine chest CT scans at admission.
  • Pectoralis muscle CSA was manually demarcated at the fourth thoracic vertebra; skeletal muscle and adipose tissue CSA at the first lumbar vertebra.

Main Results:

  • Patients who died within 30 days had significantly lower pectoralis CSA (median 32.6 vs 35.4) and higher visceral adipose tissue CSA (median 151.1 vs 112.9) compared to survivors.
  • Low pectoralis muscle CSA remained a significant predictor of 30-day mortality after adjustment for the 4C Mortality Score (HR 0.98, P=0.038).

Conclusions:

  • Low pectoralis muscle CSA, measured via CT scan, is a significant independent predictor of 30-day in-hospital mortality in COVID-19 patients.
  • This imaging biomarker may aid in risk stratification for severe COVID-19 outcomes.
Abstract