Results 121 to 130 of about 636,200 (242)

Valve Replacement

open access: yes, 2014
Left and right ventricular function in aortic stenosis patients 8 weeks post-transcatheter aortic valve implantation or surgical ...
Farkas Vánky   +11 more
core  

Transcatheter aortic valve implantation in patients with mitral prosthesis.

open access: yes, 2012
Transcatheter aortic valve implantation in patients with mitral ...
Ettori F   +21 more
core   +1 more source

Hemodynamic Performance of a Self-Expanding Transcatheter Aortic Valve with an Intra-Annular Leaflet Position in Patients with a Small Aortic Annulus

open access: yesMedicina
Background and Objectives: Transcatheter aortic valve implantation is associated with a higher risk for elevated trans-prosthetic gradients and prosthesis-patient mismatch in patients with a small aortic annulus.
Matjaž Bunc   +2 more
doaj   +1 more source

Transcatheter aortic valve-in-valve implantation for failed aortic bioprosthesis

open access: yesRevista Portuguesa de Cardiologia (English Edition), 2012
Percutaneous valve replacement for severe aortic stenosis has been shown to be an alternative treatment option for high surgical risk patients. We describe our first valve-in-valve procedure in a patient with a degenerated aortic bioprosthesis and severe regurgitation.
Olga, Sousa   +7 more
openaire   +2 more sources

Diagnostic Performance of a Deep Learning Model Using Phonocardiogram and Single‐Lead ECG Signals for Detecting Moderate‐or‐Greater Aortic Stenosis: Multicenter External Validation

open access: yesClinical Cardiology, Volume 49, Issue 10, October 2026.
In an independent multicenter cohort of 951 patients undergoing echocardiography, a deep learning model analyzing an 8‐s heart sound and ECG recording detected moderate‐or‐greater aortic stenosis with 92.9% sensitivity and 87.9% specificity. This approach may support the decision to refer patients from auscultation to echocardiography.
Shumpei Saito   +23 more
wiley   +1 more source

First-In-Human Experience of the New Fully Repositionable IMPERIA Delivery System to Implant the ALLEGRA Transcatheter Heart Valve in Patients With Severe Calcific Aortic Stenosis or Degenerated Surgical Bioprosthesis: Thirty-Day Results of the EMPIRE I Study

open access: yesStructural Heart
Background: The ALLEGRA (Biosensors International) transcatheter heart valve is a self-expanding supra-annular bovine pericardial aortic valve. A new delivery system (IMPERIA™, Biosensors International) has been designed which allows the valve to be ...
José Antonio Baz, MD   +16 more
doaj   +1 more source

Transcatheter aortic valve implantation in 2015.

open access: yesJournal of geriatric cardiology : JGC, 2016
Not ...
Mylotte, D.   +5 more
openaire   +3 more sources

Nationwide Lifespan Trends in Cardiac Implantable Electronic Device Strategies in Japan: Age‐Dependent Changes in Transvenous and Epicardial Systems

open access: yesJournal of Arrhythmia, Volume 42, Issue 5, October 2026.
Nationwide data revealed age‐dependent differences in CIED implantation strategies. Epicardial systems remain essential in pediatric and congenital heart disease care, whereas alternative technologies are increasingly adopted in older adult populations, reflecting evolving lifespan‐related device strategies.
Aya Miyazaki   +8 more
wiley   +1 more source

Transapical transcatheter aortic valve implantation using the second-generation self-expanding Symetis ACURATE TA valve [PDF]

open access: yes, 2014
Transapical transcatheter aortic valve implantation (TA-TAVI) is the recognized first choice surgical TAVI access. Expansion of this well-established treatment modality with subsequent broader patient inclusion has accelerated development of second ...
Windecker, Stephan   +8 more
core   +1 more source

Machine Learning‐Based Prediction of Mortality in Patients With Mitral Regurgitation: Results From Two Nationwide, Prospective Studies

open access: yesMedComm, Volume 7, Issue 10, October 2026.
Using two nationwide prospective Chinese cohorts totaling nearly 11,000 patients with significant mitral regurgitation, we developed and externally validated a CatBoost‐based machine learning model for all‐cause mortality prediction. The model achieved AUCs of 0.783 internally and 0.703 externally, outperforming the Cox model, MitraScore, and EuroSCORE
Yuzhe Yin   +19 more
wiley   +1 more source

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