Alternative sites of echocardiographic epicardial fat assessment and coronary artery disease View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2021-06-08

AUTHORS

João Ferreira, Rui Martins, Sílvia Monteiro, Rogério Teixeira, Lino Gonçalves

ABSTRACT

AimsIncreasing evidence points towards the use of epicardial fat (EF) as a reliable biomarker of coronary artery disease extent and severity. We aim to assess the different locations of echocardiographic EF thickness measurement and their relation with the presence, extent, and severity of coronary artery disease (CAD) in patients admitted with acute coronary syndromes (ACS).MethodsProspective cohort study including patients admitted for ACS. EF was assessed by transthoracic echocardiography and compared with coronary angiography findings. Spearmen correlation analysis was used to search for EF correlations. Receiver-operating characteristic curve analysis was performed to assess the predictive value of the different sites of measurement of EF thickness for the presence of CAD. To evaluate other potential variables independently associated with CAD, we performed multivariate analysis employing logistic regression.Results196 patients were included. Significant CAD was diagnosed in 83.7% of patients. In all views, EF thickness was greater in patients with CAD (p < 0.001). We found a moderate correlation between EF thickness and CAD extent and severity. EF thickness measured at RV basal level showed a good performance in predicting significant CAD in patients with ACS (AUC = 0.885, 95% CI 0.80–0.97, p < 0.001). For a value of mean RV basal region EF thickness ≥ 12.57 mm, sensitivity was 85% and specificity was 80.8%.ConclusionIn patients admitted with ACS, echocardiographic EF thickness predicted the presence of CAD, as well as its extent and severity. We found EF thickness measured at the RV basal region to be the best predictor of significant CAD. More... »

PAGES

1-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s40477-021-00598-4

DOI

http://dx.doi.org/10.1007/s40477-021-00598-4

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https://app.dimensions.ai/details/publication/pub.1138692427

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/34105055


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