BMC Cardiovascular Disorders (Oct 2023)

Relationship between quantitative epicardial adipose tissue based on coronary computed tomography angiography and coronary slow flow

  • Jing Tong,
  • Gui-Guang Bei,
  • Li-Bo Zhang,
  • Yu Sun,
  • Miao Qi,
  • Ben-Qiang Yang

DOI
https://doi.org/10.1186/s12872-023-03541-z
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 8

Abstract

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Abstract Background The purpose of this study was to explore the relationship between quantitative epicardial adipose tissue (EAT) based on coronary computed tomography angiography (CCTA) and coronary slow flow (CSF). Methods A total of 85 patients with 0.05). Multivariate logistic regression analysis showed that EAT volume was independently related to CSF [odds ratio (OR) = 4.82, 95% confidence interval (CI): 3.06–7.27, P < 0.001]. The area under ROC curve for EAT volume in identifying CSF was 0.86 (95% CI: 0.77–0.95). The optimal cutoff value of 118.46 mL yielded a sensitivity of 0.80 and a specificity of 0.94. Conclusions Increased EAT volume based on CCTA is strongly associated with CSF. This preliminary finding paves the way for future and larger studies aimed to definitively recognize the diagnostic value of EAT in CSF.

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