Key result
Increased epicardial adipose tissue thickness (≥6.64 mm) was an independent predictor of ICU admission in patients with COVID-19 (AUC 0.789; 95% CI 0.744-0.833; P<0.001).
Why the study?
The association between epicardial and pericoronary adipose tissue thicknesses measured with CT and the severity of COVID-19 infection was not known.
Do epicardial and pericoronary adipose tissue thicknesses measured by CT predict the need for ICU admission in patients with COVID-19?
Observational (n=504)
Do epicardial and pericoronary adipose tissue thicknesses measured by CT predict the need for ICU admission in patients with COVID-19?
Effect estimate: AUC 0.789 (95% CI 0.744-0.833)
p-value: p=<0.001
Increased epicardial and pericoronary adipose tissue thickness measured by chest CT are independent predictors of ICU admission in patients with COVID-19.
May aid COVID-19 risk stratification on routine CT; leaves open prospective validation and incremental value.
Objective To investigate the association between epicardial and pericoronary adipose tissue thicknesses measured with computed tomography (CT) and severity of COVID-19 infection.Methods We recruited 504 patients admitted with RT-PCR-proven diagnosis of COVID-19 infection and underwent simultaneous Chest CT scanning. Epicardial adipose tissue thickness (EAT) and pericardial adipose tissue thickness (PCAT) were measured by CT. Comparisons were performed between ICU admitting and non-ICU admitting patients were performed.Results Of 504 patients, 423 patients were hospitalised in normal wards or followed as outpatient, and 81 patients were admitted to ICU. EAT and PCAT were significantly increased in ICU patients (5.98[5.06–7.13] mm vs. 8.05[6.90–9.89] mm, p < 0.001 and 9.3[7.4–11.5] mm vs. 11.2[10.3–13.2] mm, p < 0.001, respectively). In multiple logistic regression analyses, EAT and PCAT were independent predictors of ICU admission. A cut-off point of 6.64 mm EAT has a sensitivity of 82.7% and a specificity of 66.7% (AUC = 0.789, 95% CI: 0.744–0.833, p < 0.001) and a cut-off point of 9.85 mm PCAT has a sensitivity of 91.4% and a specificity of 61.2% (AUC = 0.744, 95% CI: 0.700–0.788, p < 0.001).Conclusion We found that both increased EAT and PCAT were associated with the severity of COVID-19 infection defined as the need for ICU admission.
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Duyuler et al. (2021) conducted an observational in COVID-19 infection (n=504). Epicardial and pericoronary adipose tissue thickness vs. Lower adipose tissue thickness was evaluated on ICU admission (AUC 0.789, 95% CI 0.744-0.833, p=<0.001). Increased epicardial adipose tissue thickness (≥6.64 mm) was an independent predictor of ICU admission in patients with COVID-19 (AUC 0.789; 95% CI 0.744-0.833; P<0.001).
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