Blood glucose and epicardial adipose tissue at the hospital admission as possible predictors for COVID-19 severity

the COVID-19 Latina Study Group

Research output: Contribution to journalArticlepeer-review


Purpose: To study the possible association of CT-derived quantitative epicardial adipose tissue (EAT) and glycemia at the admission, with severe outcomes in patients with COVID-19. Methods: Two hundred and twenty-nine patients consecutively hospitalized for COVID-19 from March 1st to June 30th 2020 were studied. Non contrast chest CT scans, to confirm diagnosis of pneumonia, were performed. EAT volume (cm3) and attenuation (Hounsfield units) were measured using a CT post-processing software. The primary outcome was acute respiratory distress syndrome (ARDS) or in-hospital death. Results: The primary outcome occurred in 56.8% patients. Fasting blood glucose was significantly higher in the group ARDS/death than in the group with better prognosis [114 (98–144) vs. 101 (91–118) mg/dl, p = 0.001]. EAT volume was higher in patients with vs without the primary outcome [103 (69.25; 129.75) vs. 78.95 (50.7; 100.25) cm3, p < 0.001] and it was positively correlated with glycemia, PCR, fibrinogen, P/F ratio. In the multivariable logistic regression analysis, age and EAT volume were independently associated with ARDS/death. Glycemia and EAT attenuation would appear to be factors involved in ARDS/death with a trend of statistical significance. Conclusions: Our findings suggest that both blood glucose and EAT, easily measurable and modifiable targets, could be important predisposing factors for severe Covid-19 complications.

Original languageEnglish (US)
StateAccepted/In press - 2021


  • Adiposity
  • COVID-19
  • Epicardial adipose tissue
  • Hyperglycemia
  • Visceral fat

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Endocrinology


Dive into the research topics of 'Blood glucose and epicardial adipose tissue at the hospital admission as possible predictors for COVID-19 severity'. Together they form a unique fingerprint.

Cite this