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Epicardial fat volume improves prediction of adverse clinical events
Session:
Posters - B. Imaging
Speaker:
José Miguel Ramos Viegas
Congress:
CPC 2021
Topic:
B. Imaging
Theme:
03. Imaging
Subtheme:
03.2 Computed Tomography
Session Type:
Posters
FP Number:
---
Authors:
José Miguel Viegas; Tânia Branco Mano; João Pedro Reis; Rúben Ramos; António Fiarresga; Duarte Cacela; Hugo Marques; Luísa Figueiredo; Rui Cruz Ferreira
Abstract
<p><span style="font-size:10pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:11.0pt"><span style="color:#538135">Introduction: </span></span></strong></span></span><span style="font-size:10pt"><span style="font-family:Calibri,sans-serif">Recent studies have demonstrated the potential of epicardial fat volume (EFV) to predict obstructive coronary artery disease (CAD), however its impact in clinical outcomes remains elusive.</span></span></p> <p><span style="font-size:10pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:11.0pt"><span style="color:#538135">Objectives: </span></span></strong></span></span><span style="font-size:10pt"><span style="font-family:Calibri,sans-serif"><span style="font-family:"Myriad Pro Light",sans-serif"><span style="color:black"><span style="font-size:8.0pt"><span style="font-family:"Calibri",sans-serif">To assess the association between EFV and demo­graphic and morphometric data, </span></span></span></span>coronary atherosclerotic burden and adverse events <span style="font-family:"Myriad Pro Light",sans-serif"><span style="color:black"><span style="font-size:8.0pt"><span style="font-family:"Calibri",sans-serif">in a population of patients (pts) referred for coronary computed tomography angiography (CTA). </span></span></span></span></span></span></p> <p><span style="font-size:10pt"><span style="font-family:Calibri,sans-serif"><span style="font-family:"Myriad Pro",sans-serif"><span style="color:black"><span style="font-size:9.0pt">­</span></span></span></span></span></p> <p><span style="font-size:10pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:11.0pt"><span style="color:#538135">Methods: </span></span></strong></span></span><span style="font-size:10pt"><span style="font-family:Calibri,sans-serif">Retrospective analysis of pts without known CAD referred for <span style="font-family:"Myriad Pro Light",sans-serif"><span style="color:black"><span style="font-size:8.0pt"><span style="font-family:"Calibri",sans-serif">coronary CTA in a </span></span></span></span>single tertiary care centre. A standardized protocol for quantification of EFV, thoracic fat volume (TFV), coronary artery calcification (CAC) and coronary angiography was performed. Endpoint was composite of cardiovascular death, nonfatal myocardial infarction and unplanned hospitalization leading to revascularization at 12 months.</span></span></p> <p><span style="font-size:10pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:11.0pt"><span style="color:#538135">Results: </span></span></strong></span></span><span style="font-size:10pt"><span style="font-family:Calibri,sans-serif">72 pts were included, 58% male, mean age 67±9 years. The prevalence of hypertension, dyslipidemia and diabetes was 75%, 82% and 24%, respectively. Median EFV was 101 (68) ml and total TFV 1504 (694) ml. EFV was directly related with age (p <0.001), male sex (p<0.001), body mass index (p= 0.008) and TFV (p= 0.025). A positive correlation with CAC and a significant association with CAD and obstructive CAD were demonstrated. Composite endpoint was observed in 13 pts (18%). After adjusting for all considered confounders, EFV remained an independent predictor of adverse events.</span></span></p> <p><span style="font-size:10pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:11.0pt"><span style="color:#538135">Conclusion: </span></span></strong></span></span><span style="font-size:10pt"><span style="font-family:Calibri,sans-serif">EFV positively relates to coronary atherosclerotic burden. This study also advocates that EFV may improve risk stratification for clinical outcomes. Larger studies are required to evaluate these results.</span></span></p>
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