Cardiac Computed Tomography-Based Epicardial Adipose Tissue Assessment Reveals Association With Electroanatomical Voltage Mapping in Patients With Atrial Fibrillation

医学 心脏病学 内科学 心房颤动 置信区间 窦性心律 导管消融 心外膜脂肪组织 优势比 烧蚀 计算机断层摄影术 核医学 脂肪组织 放射科
作者
Jun Wang,Xingxing Sun,Wangyan Liu,Xiaoyan Zhu,Yinsu Zhu,Shushen Lin,Hongwu Chen,Yangsheng Xu
出处
期刊:Heart Lung and Circulation [Elsevier BV]
卷期号:31 (10): 1385-1392 被引量:1
标识
DOI:10.1016/j.hlc.2022.07.001
摘要

Epicardial adipose tissue (EAT) around the left atrium (LA) can change the electric conduction of the LA, potentially leading to atrial fibrillation (AF).The aim of this study was to evaluate whether an association existed between EAT and the electrophysiological properties of adjacent atrial myocardium in patients with AF.A total of 201 consecutive patients referred for initial AF catheter ablation were prospectively included. A preprocedural computed tomography scan was performed to assess total and LA-EAT parameters. Detailed point-by-point voltage mapping using an electroanatomical mapping system was realised to assess the LA low-voltage zone (LVZ), defined as an area with bipolar electrograms ≤0.5 mV during sinus rhythm.Ninety-one (91) patients (45.3%) presented at least one LVZ. They had a significantly more severe AF pattern (p=0.04) than patients without LVZ, and little difference existed with regard to other clinical variables. Patients with LVZ presented significantly more total EAT volume (162.4±71.3 mL vs 135.5±57.2 mL; p=0.03) and LA-EAT volume (26.4±15.9 mL vs 20.9±10.5 mL; p<0.01) than no-LVZ patients. Multivariable logistic regression analyses revealed total EAT volume index to be an independent predictor of the presence of LVZ (odds ratio [OR] 1.01; 95% confidence interval [CI] 1.01-1.04; p<0.01) and LA-EAT percentage to be an independent predictor of severe LVZ (OR 1.34; 95% CI 1.18-1.64; p<0.001).The EAT volume and its distribution around the LA may indicate the presence and severity of LVZ. The assessment of the volume of EAT and its distribution may lead to better risk stratification in patients with AF.
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