Visceral adipose tissue in patients with COVID-19: risk stratification for severity

Purpose To assess visceral (VAT), subcutaneous (SAT), and total adipose tissue (TAT) estimates at abdominopelvic CT in COVID-19 patients with different severity, and analyze Body Mass Index (BMI) and CT estimates of fat content in patients requiring hospitalization. Methods In this retrospective IRB approved HIPPA compliant study, 51 patients with SARS-CoV-2 infection with abdominopelvic CT were included. Patients were stratified based on disease severity as outpatient (no hospital admission) and patients who were hospitalized. Subset of hospitalized patient required mechanical ventilation (MV). A radiologist blinded to the clinical outcome evaluated single axial slice on CT at L3 vertebral body for VAT(L3), SAT(L3), TAT(L3), and VAT/TAT(L3). These measures along with age, gender, and BMI were compared. A clinical model that included age, sex, and BMI was compared to clinical + CT model that also included VAT(L3)to discriminate hospitalized patients from outpatients. Results There were ten outpatients and 41 hospitalized patients. 11 hospitalized patients required MV. There were no significant differences in age and BMI between the hospitalized and outpatients (allp > 0.05). There was significantly higher VAT(L3)and VAT/TAT(L3)in hospitalized patients compared to the outpatients (allp < 0.05). Area under the curve (AUC) of the clinical + CT model was higher compared to the clinical model (AUC 0.847 versus 0.750) for identifying patients requiring hospitalization. Conclusion Higher VAT(L3)was observed in COVID-19 patients that required hospitalization compared to the outpatients, and addition of VAT(L3)to the clinical model improved AUC in discriminating hospitalized from outpatients in this preliminary study.

Automated summary

This study aimed to assess adipose tissue estimates in COVID-19 patients at abdominopelvic CT and found higher visceral fat in hospitalized patients compared to outpatients. Addition of visceral fat estimates improved the accuracy in discriminating hospitalized patients from outpatients.