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This study evaluated transcatheter approach for relieving right ventricular outflow tract (RVOT) obstruction using combined non-compliant balloon dilatation of the RVOT and conal artery occlusion in patients with Tetralogy of Fallot (TOF), both uncorrected and post-intra-cardiac repair (ICR) restenosis. A prospective study was conducted from January 2022 to June 2023, including 40 symptomatic patients aged over 12 years with RVOT obstruction in TOF. Exclusion criteria included moderate to severe pulmonary regurgitation.

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Background: The assessment of left ventricular (LV) systolic function and quantification of LV ejection fraction (EF) in patients with atrial fibrillation (AF) can be difficult. We previously demonstrated that LV volume changes over the 100 ms of systole (LVEF) can be used as a measure of LV systolic function.

Objective: We sought to evaluate the applicability of LVEF in AF patients.

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Cardiac Implications in Dravet Syndrome: Can Electrocardiogram and Echocardiography Detect Hidden Risks?

Pediatr Neurol

January 2025

Faculty of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Pediatrics Research Group, Institut de Recerca Sant Pau (IR-Sant Pau), Barcelona, Spain; Pediatric Neurology Unit, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.

Background: Dravet syndrome (DS) is a severe developmental and epileptic encephalopathy associated with loss-of-function variants in the SCN1A gene. Although predominantly expressed in the central nervous system, SCN1A is also expressed in the heart, suggesting a potential link between neuronal and cardiac channelopathies. Additionally, DS carries a high risk of sudden unexpected death in epilepsy (SUDEP).

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Pulmonary arterial hypertension (PAH) is a complication of systemic sclerosis (SSc), and several screening algorithms have been proposed for the early detection of PAH in SSc. This study aimed to evaluate the predicting values of the DETECT algorithm for SSc-PAH screening in patients with SSc undergoing right heart catheterization (RHC) based on 2015 ESC/ERS echocardiographic criteria in a real-life setting. Patients fulfilling the 2013 ACR/EULAR classification criteria for SSc and with available data for PAH screening with the DETECT algorithm and the 2015 ESC/ERS echocardiographic criteria were retrospectively enrolled from January to June 2017 and then followed for 5 years.

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Artificial intelligence (AI) in echocardiography represents a transformative advancement in cardiology, addressing longstanding challenges in cardiac diagnostics. Echocardiography has traditionally been limited by operator-dependent variability and subjective interpretation, which impact diagnostic reliability. This study evaluates the role of AI, particularly machine learning (ML), in enhancing the accuracy and consistency of echocardiographic image analysis and its potential to complement clinical expertise.

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