Thoracic sarcopenia as a predictive factor of SARS-COV2 evolution

Abstract

Purpose: Evaluation of CT sarcopenia as a predictor of intensive care hospitalization during SARS-COV2 infection.

Materials and methods: Single-center retrospective study of patients admitted to hospital with SARS-COV2 infection. The estimation of muscle mass (skeletal muscle index (SMI)) for sarcopenia, measurement of muscle density for muscle quality and body adiposity, were based on CT views on the T4 and L3 levels measured at admission. Demographic data, percentage of pulmonary parenchymal involvement as well as the orientation of patients during hospitalization and the risk of hospitalization in intensive care were collected.

Results: A total of 162 patients hospitalized for SARS-COV2 infection were included (92 men and 70 women, with an average age of 64.6 years and an average BMI of 27.4). The muscle area measured at the level of L3 was significantly associated with the patient's unfavorable evolution (124.4cm2 [97; 147] vs 141.5 cm² [108; 173]) (p = 0.007), as was a lowered SMI (p < 0.001) and the muscle area measured in T4 (OR = 0.98 [0.97; 0.99]), (p = 0.026). Finally, an abdominal visceral fat area measured at the level of L3 was also associated with a risk of hospitalization in intensive care (249.4cm2 [173; 313] vs 147.5cm2 [93.1; 228] (p < 0.001).

Conclusion: This study demonstrates that thoracic and abdominal sarcopenia are independently associated with an increased risk of hospitalization in an intensive care unit, suggesting the need to assess sarcopenia on admission during SARS-COV2 infection.

Keywords: COVID; Malnutrition; SARS-COV2; SMD; SMI; Sarcopenia.