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Endoscopic Mitral Surgery in Noonan Syndrome-Case Report and Considerations.
J Clin Med
January 2025
Department of Surgery IV, George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures, 38 Gheorghe Marinescu Street, 540139 Targu Mures, Romania.
: Totally endoscopic techniques have become increasingly popular in cardiac surgery, with minimally invasive mitral valve repair emerging as an effective alternative to median sternotomy. This approach could be particularly advantageous for patients with Noonan syndrome, who often present with structural thoracic anomalies and other comorbidities like bleeding disorders. Endoscopic mitral valve surgery is rapidly establishing itself as the new standard of care for mitral valve operations, demonstrating both safety and efficacy.
View Article and Find Full Text PDFImproving long-term postoperative survival in a porcine cardiac valve surgery model utilizing cardiopulmonary bypass via left thoracotomy: a single-center experience sharing insights.
Front Cardiovasc Med
January 2025
Department of Cardiovascular Surgery, Gaozhou People's Hospital, Gaozhou, Guangdong, China.
Objective: The objective of this study was to improve long-term postoperative survival in a porcine cardiac valve surgery model by utilizing cardiopulmonary bypass (CPB) via left thoracotomy. The study aimed to share refined techniques and insights accumulated over years at a single-center animal clinical trial facility.
Method: A total of 196 Chinese Large White pigs weighing between 60 and 75 kg were used in the study.
Clinical studies in Myxomatous Mitral Valve Disease dogs: most prescribed ACEI inhibits ACE2 enzyme activity and ARB increases AngII pool in plasma.
Hypertens Res
January 2025
Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
The hypertension patient population has doubled since 1990, affecting 1.3 billion globally and >75% live in low-and middle-income countries. Angiotensin Converting Enzyme Inhibitors (ACEI) and Angiotensin Receptor Blockers (ARB) are the most prescribed drugs (>160 million times in the US), but mortality increased >30% since 1990s globally.
View Article and Find Full Text PDFComputed tomography coronary angiography as an alternative to invasive coronary angiography in preoperative evaluation for mitral surgery.
J Thorac Cardiovasc Surg
January 2025
Mount Sinai Health System, New York, NY.
Objective: The aim of this study was to assess the effectiveness of non-invasive coronary computed tomography angiography (CTA) as an alternative to traditional invasive coronary angiography (ICA) for preoperative evaluation of low risk patients with an indication for non-emergent mitral surgery and to assess any difference in adverse outcomes from this strategy.
Methods: This was a retrospective cohort study from a single center with data collected from July 2014 - June 2020 for 1576 patients undergoing mitral valve surgery of all etiologies - excluding patients requiring coronary artery bypass surgery. We performed a 1:2 propensity score matching for patients evaluated with CT (n=345) to those evaluated with ICA (n=602).
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.
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