Objectives: The aim of this study was to evaluate outcomes of transcatheter mitral valve replacement (TMVR) with transfemoral access in patients at prohibitive or high surgical risk.
Background: Prohibitive surgical risk may preclude mitral valve replacement surgery in some patients. The investigational Intrepid TMVR system has previously been evaluated using transapical access for delivery of a self-expanding bioprosthetic valve.
Methods: This prospective, multicenter, nonrandomized early feasibility study evaluated the safety and performance of the Intrepid valve using transfemoral access enabling transseptal delivery in patients with moderate to severe or severe symptomatic mitral regurgitation at high surgical risk. Candidacy was determined by heart teams, with approval by a central screening committee. Echocardiographic data were evaluated by an independent core laboratory. Clinical events were adjudicated by a clinical events committee.
Results: Fifteen patients were enrolled at 6 sites from February 2020 to May 2021. The median age was 80 years, and median Society of Thoracic Surgeons Predicted Risk of Mortality was 4.7%; 87% of patients were men, and 53% had undergone prior sternotomy. Fourteen implants were successful. One patient was converted to surgery during the index procedure. Patients stayed a median of 5 days postprocedure. There were 6 access site bleeds (40%) and 11 iatrogenic atrial septal defect closures (73%). At 30 days, there were no deaths, strokes, or reinterventions. All patients undergoing implantation had trace or no valvular or paravalvular mitral regurgitation, and the mean gradient was 4.7 mm Hg (IQR: 3.0-6.7 mm Hg).
Conclusions: Thirty-day results from the Intrepid transfemoral TMVR early feasibility study demonstrate excellent valve function and no mortality or stroke. Additional patients and longer follow-up are needed to confirm these findings. ([The Early Feasibility Study of the Intrepid™ TMVR Transseptal System]; NCT02322840).
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http://dx.doi.org/10.1016/j.jcin.2021.10.018 | DOI Listing |
J Comput Chem
January 2025
Scuola Superiore Meridionale, Napoli, Italy.
Light-driven molecular rotary motors are nanometric machines able to convert light into unidirectional motions. Several types of molecular motors have been developed to better respond to light stimuli, opening new avenues for developing smart materials ranging from nanomedicine to robotics. They have great importance in the scientific research across various disciplines, but a detailed comprehension of the underlying ultrafast photophysics immediately after photo-excitation, that is, Franck-Condon region characterization, is not fully achieved yet.
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Istituti Clinici Scientifici Maugeri IRCCS, Cardiology Rehabilitation Unit of Gattico-Veruno Institute, Gattico-Veruno, Italy.
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December 2024
Herzzentrum Dresden, Department of Internal Medicine and Cardiology, Technische Universität Dresden, Fetscherstr. 76, 01307 Dresden, Germany.
Patients with end-stage kidney disease (ESRD) represent a high-risk population in terms of both development of and death by cardiovascular diseases. Outcome data of ESRD patients with severe aortic valve stenosis (AS) treated by transcatheter aortic valve implantation (AVI) are scarce. We aim to compare the outcome of ESRD patients undergoing transfemoral (TF) or transapical (TA) AVI.
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January 2025
Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Via E. Orabona, 4, 70125 Bari, Italy.
Abnormal locomotor patterns may occur in case of either motor damages or neurological conditions, thus potentially jeopardizing an individual's safety. Pathological gait recognition (PGR) is a research field that aims to discriminate among different walking patterns. A PGR-oriented system may benefit from the simulation of gait disorders by healthy subjects, since the acquisition of actual pathological gaits would require either a higher experimental time or a larger sample size.
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December 2024
Department of Mechanical Engineering and Automation, Northeastern University, Wenhua Street, Shenyang 110819, China.
The early prediction of Alzheimer's disease (AD) risk in healthy individuals remains a significant challenge. This study investigates the feasibility of task-state EEG signals for improving detection accuracy. Electroencephalogram (EEG) data were collected from the Multi-Source Interference Task (MSIT) and Sternberg Memory Task (STMT).
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