Abstract 5155: Epicardial Fat to Predict Metabolic Syndrome Is More Useful in Patients with Low Body Mass Index
Introduction and Hypothesis We have reported that the thickness of epicardial adipose tissue (EAT) by echocardiography was increased in patients with metabolic syndrome (MS). However, the impact of body mass index (BMI) has not been investigated. We hypothesized that the usefulness of EAT predicting MS might be affected by BMI.
Methods We consecutively enrolled 510 patients (259 males, 58±10 year-old), who underwent echocardiography for coronary angiography. EAT was measured on free wall of the right ventricle at end diastole in the parasternal window. MS was defined as NECP-ATP III guideline. All patients were divided into a group of BMI≥27kg/m2 (n=371) and <27kg/m2 (n=139).
Results Median and mean EAT of 510 patients were 2.5 and 3.1±2.5mm, respectively. Median EAT was significantly increased in patients with MS than those without MS (3.0, 2.5 mm, respectively, p<0.001). EAT thickness also increased with an increase in the number of MS component (p<0.001). When we analyze these patients according to BMI, median EAT thickness were also significantly increased in patients with MS regardless of BMI(Figure⇓. Left panel). Receiver operating characteristic curve analysis predicting MS revealed that the area under curve (AUC) of BMI≥27kg/m2 group was significantly lower than those of BMI<27kg/m2(0.573 and 0.694, respectively, p=0.013, Figure⇓. Right panels).
Conclusions While EAT thickness was significantly increased in patients with MS regardless of BMI, the power of EAT to predict MS was stronger in patients with BMI<27kg/m2. These findings showed that the measurement of EAT thickness by echocardiography might be useful in patients with low BMI especially less than 27kg/m2.