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The prognostic value of epicardial and pericoronary adipose tissue in heart failure with preserved ejection fraction using coronary computed tomography angiography

射血分数 医学 冠状动脉造影 脂肪组织 心脏病学 计算机断层摄影术 血管造影 内科学 心力衰竭 放射科 核医学 心肌梗塞
作者
Shuangxiang Lin,Chenjia Liu,Shuyue Wang,Xinfa Ding,Jiaxing Wu,Xinhong Wang,Jianzhong Sun
出处
期刊:British Journal of Radiology [British Institute of Radiology]
卷期号:98 (1166): 229-236 被引量:3
标识
DOI:10.1093/bjr/tqae216
摘要

Abstract Objectives To assess the prognostic significance of epicardial adipose tissue volume (EATv) and pericoronary adipose tissue attenuation (PCATa) in patients with heart failure with preserved ejection fraction (HFpEF). Methods This retrospective study was based on HFpEF and controls who underwent coronary CT angiography (CCTA) screening to rule out coronary disease. Comparisons of EATv and PCATa were made between HFpEF patients and a control group, using statistical analyses including Kaplan-Meier and Cox regression to assess prognostic significance. Results A total of 224 patients were retrospectively analysed. The EATv was 56.1 ± 11.9 cm3 and PCATa in the right coronary artery (PCATa-RCA) was −74.7 HU ± 3.82 in HFpEF patients, which increased significantly compared with controls. Among them, 112 HFpEF patients (mean age: 71.9 ± 8.5 years; 40% male) were followed up for a median of 27 ± 0.6 months (range 2-47 months). EATv and PCATa-RCA were predictive of outcome with an optimal threshold of 56.29 cm3 and −71.17 HU, respectively. In Kaplan-Meier analysis, the high EATv and PCATa-RCA attenuation had significantly higher rates of composite outcomes (log-rank test, all P < .01). EATv and PCATa-RCA were independently predictive of outcome following adjustment for confounding variables (EATv: hazard ratio [HR] 1.03; 95% CI (1.01-1.06); P < .01, PCTAa-RCA: HR 1.44; 95% CI 1.27-1.62; P < .001)). Conclusions Increased EATv and PCATa-RCA are associated with worse clinical outcomes in HFpEF patients. Advances in knowledge This study highlights the potential of CCTA-derived adipose tissue metrics as novel, non-invasive biomarkers for risk stratification in HFpEF.
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