Fat attenuation index (FAI) of pericoronary adipose tissue differentiated patients with ACS from those with stable CAD prior to intervention (AUC 0.663; 95% CI 0.540-0.785).
Observational
No
Does the fat attenuation index (FAI) of pericoronary adipose tissue on CCTA help differentiate patients with acute coronary syndrome from those with stable coronary artery disease?
Measurement of the fat attenuation index of pericoronary adipose tissue on CCTA may provide incremental value over clinical features in differentiating acute coronary syndrome from stable coronary artery disease prior to intervention.
Effect estimate: AUC 0.663 (95% CI 0.540-0.785)
Background: Pericoronary adipose tissue (PCAT) around the proximal right coronary artery (RCA) is considered a marker of coronary inflammation. We aimed to explore the segments of PCAT that represent coronary inflammation in patients with acute coronary syndrome (ACS) and to identify patients with ACS and stable coronary artery disease (CAD) prior to intervention. Methods: We retrospectively enrolled consecutive patients with ACS and stable CAD who underwent invasive coronary angiography (ICA) after coronary computed tomography angiography (CCTA) from November 2020 to October 2021 at the Fourth Affiliated Hospital of Harbin Medical University. The fat attenuation index (FAI) was obtained using PCAT quantitative measurement software, and the coronary Gensini score was also calculated to indicate the severity of CAD. The differences and correlations between FAI within different radial distances of proximal coronary arteries were evaluated, and the recognition ability of FAI for patients with ACS and stable CAD was evaluated by establishing receiver operator characteristic (ROC) curves. Results: had the highest recognition performance for patients with ACS and stable CAD area under the curve (AUC): 0.663; 95% CI: 0.540-0.785. Conclusions: is most correlated with FAI around culprit lesions in patients with ACS and has higher value in the preintervention differentiation of patients with ACS and stable CAD compared to the use of clinical features alone.
Dong et al. (Thu,) conducted a observational in Acute coronary syndrome and stable coronary artery disease. Fat attenuation index (FAI) of pericoronary adipose tissue vs. Clinical features alone was evaluated on Recognition performance for differentiating patients with ACS and stable CAD (AUC 0.663, 95% CI 0.540-0.785). Fat attenuation index (FAI) of pericoronary adipose tissue differentiated patients with ACS from those with stable CAD prior to intervention (AUC 0.663; 95% CI 0.540-0.785).
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