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Deep Learning-Enabled Assessment of Right Ventricular Function Improves Prognostication After Transcatheter Edge-to-Edge Repair for Mitral Regurgitation.
Circ Cardiovasc Imaging
January 2025
DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance (M.L., A.H., E.R., M.v.S., A. Kastrati, H.S., M.J., E.X., K.-L.L., J.H., T.T.).
Background: Right ventricular (RV) function has a well-established prognostic role in patients with severe mitral regurgitation (MR) undergoing transcatheter edge-to-edge repair (TEER) and is typically assessed using echocardiography-measured tricuspid annular plane systolic excursion. Recently, a deep learning model has been proposed that accurately predicts RV ejection fraction (RVEF) from 2-dimensional echocardiographic videos, with similar diagnostic accuracy as 3-dimensional imaging. This study aimed to evaluate the prognostic value of the deep learning-predicted RVEF values in patients with severe MR undergoing TEER.
View Article and Find Full Text PDFEnhancing Thromboembolic Risk Prediction in Non-valvular Atrial Fibrillation: The Critical Role of Transesophageal Echocardiography (TEE).
Cureus
December 2024
Cardiology, Avicenna Military Hospital, Marrakesh, MAR.
Introduction Atrial fibrillation (AF), the most common cardiac arrhythmia, poses challenges in predicting thromboembolic risk. While the CHADS-VASc (congestive heart failure, hypertension, age ≥ 75 years (doubled), type 2 diabetes mellitus, previous stroke, transient ischemic attack, or thromboembolism (doubled), vascular disease, age 65-74 years, and sex category) score remains essential, its limitations include failure to identify left atrial (LA) thrombus in some patients. Transesophageal echocardiography (TEE) provides superior detection of LA thrombi and thrombogenic factors compared to transthoracic echocardiography (TTE), improving risk stratification, especially in intermediate-risk groups.
View Article and Find Full Text PDFCirculating growth differentiation factor-15 levels are associated with early echocardiographic signs of diastolic function impairment in the STANISLAS cohort: A 20-year follow-up study.
Eur J Heart Fail
January 2025
Université de Lorraine, INSERM, Centre d'Investigations Cliniques Plurithématique 1433, Inserm U1116, CHRU de Nancy and F-CRIN INI-CRCT, Nancy, France.
Aims: Early identification of healthy subjects prone to develop cardiac dysfunction may be instrumental to prevention strategies. Our study aimed to evaluate whether circulating levels of growth differentiation factor-15 (GDF-15) could predict adverse changes in echocardiographic indexes of cardiac structure and function in an initially healthy populational familial cohort with a long follow-up (STANISLAS cohort).
Methods And Results: We evaluated 1679 participants (49 ± 14 years, 48% males) included in the fourth visit (V4) of the STANISLAS cohort with available GDF-15 measurements (Olink proteomic analysis) and echocardiographic parameters.
Prognostic Value of Transvalvular Flow Rate in Aortic Stenosis: Implications for Risk Stratification.
Echocardiography
January 2025
Cardiology Department, Soroka University Medical Center, Beer-Sheba, Israel.
Background: Timing of treatment of aortic stenosis (AS) is of key importance. AS severity is currently determined by transthoracic echocardiography (TTE) with a main focus on mean trans-aortic gradients. However, echocardiography has its limitations.
View Article and Find Full Text PDFTwo- and Three-dimensional Transthoracic Echocardiographic Identification of Esophageal Stent.
Echocardiography
January 2025
Cardiology Division, University of Alabama at Birmingham, Birmingham, Alabama, USA.
First echocardiographic detection of esophageal stent.
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