The Association of Epicardial Adipose Tissue Volume and Atrial Fibrillation in Patients With Hypertrophic Cardiomyopathy: As Assessed by Cardiac MR

Author:

Li Chensi1,Yu Honglin1,Li Yuguo1,Deng Wei1,Jia Zhuoran2,Xue Yangcheng2,Wang Zhen1,Xu Huimin1,Yu Yongqiang1,Zhao Ren2,Han Yuchi3ORCID,Zhu Yinsu4,Li Xiaohu1ORCID

Affiliation:

1. Department of Radiology The First Affiliated Hospital of Anhui Medical University, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center Hefei Anhui China

2. Department of Cardiology The First Affiliated Hospital of Anhui Medical University Hefei Anhui China

3. Cardiovascular Division, Wexner Medical Center, College of Medicine The Ohio State University Medical Center Columbus Ohio USA

4. Department of Radiology The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research Nanjing Jiangsu China

Abstract

BackgroundEpicardial adipose tissue (EAT) is a metabolically active visceral fat linked to cardiovascular disease. Prior studies demonstrated the predictive value of EAT volume (EATV) in atrial fibrillation (AF) among hypertrophic obstructive cardiomyopathy patients.PurposeTo investigate the association between EATV and AF in hypertrophic cardiomyopathy (HCM).Study TypeRetrospective.PopulationTwo hundred and twenty‐four HCM patients (including 79 patients with AF and 145 patients without AF, 154 men) and 80 healthy controls (54 men).Field Strength/Sequence3.0 T scanner; balanced steady‐state free precession (SSFP) cine sequence, gradient echo.AssessmentEAT thickness was assessed in the 4‐chamber and basal short‐axis planes. EAT volume was calculated by outlining the epicardial border and visceral pericardium layer on short‐axis cine images.Statistical TestsShapiro–Wilk test, Student's t test or the Mann–Whitney U test, chi‐square test or Fisher's exact test, Multivariate linear regression analyses, Multivariable binary logistic regression analysis. Intraclass correlation coefficient. Significance was determined at P < 0.05.ResultsEATV and EAT volume index (EATVI) were significantly greater in HCM patients with AF than those without AF (126.6 ± 25.9 mL vs. 90.5 ± 24.5 mL, and 73.0 ± 15.9 mL/m2 vs. 51.3 ± 13.4 mL/m2). EATVI was associated with AF in multivariable linear regression analysis among HCM patients (β = 0.62). Multivariable logistic regression analysis revealed that compared to other indicators, the area under curve (AUC) of EATVI was 0.86 (cut‐off, 53.9 mL/m2, 95% CI, 0.80–0.89), provided a better performance, with the sensitivity of 96.2% and specificity of 58.6%. The combined model exhibited superior association with AF presence compared to the clinical model (AUC 0.96 vs. 0.76) and the imaging model (AUC 0.96 vs. 0.93).Data ConclusionEATVI was associated with AF. EATVI was significantly correlated with incident AF, and provided a better performance in HCM patients compared to other indicators.Evidence Level3Technical EfficacyStage 2

Funder

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

Publisher

Wiley

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