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This project aims to validate sex-specific biologic signatures associated with aortic valve disease developed in a large multicenter CMR registry, using unsupervised phenomapping. We aim to use advanced CMR techniques (MRF, DTI, chemical exchange transfer, and radiomics analysis) to determine advanced CMR predictors of reverse remodeling following aortic valve surgery and develop sex-specific thresholds for risk. Infrastructure developed by this study will enable development of an innovative, scalable, sex-specific precision medicine cardiovascular imaging pipeline to determine overall risk and treatment response.
The purpose of the study is to compare the various 2D and 3D methods of valvular heart disease quantification (Doppler, PISA, VCA, volumetric method) and strain with cardiac magnetic resonance (CMR) measurements of left and right ventricular systolic function strain and myocardial fibrosis assessment.
The vast majority of cardiac rehabilitation eligible individuals do not participate in center based cardiac rehabilitation (CBCR). While steps to encourage participation in CBCR are important, many individuals will still not participate for a variety of reasons. This randomized controlled trial is evaluating a home-based cardiac rehabilitation (HBCR) intervention delivered using a custom app and digital tools in patients undergoing transcatheter heart valve interventions (THVIs). After a brief roll-in period, participants not intending to participate in CBCR are randomized to one of three groups: (1) control, (2) HBCR mobile health intervention with hands-off delivery, and (3) HBCR mobile health intervention with interactive delivery. Participants in the intervention groups (hands-off/interactive delivery) will also be randomized to continue the intervention for 12 weeks or 24 weeks. The intervention targets key health behaviors and includes traditional cardiac rehabilitation components. The study will assess the effect of the intervention on clinical events, physical activity, quality of life, and other outcomes. Those who intend to participate in CBCR will be followed in a registry.
Valves will be taken from hearts donated by organ donors, and implanted into patients who need a new heart valve.
MANTRA is a prospective, multiple-arm, multi-center, global, post-market clinical follow-up study. The main objective is to monitor ongoing safety and performance of the CORCYM devices and accessories used for aortic, mitral and tricuspid valvular diseases in a real-world setting. Corcym S.r.l., is a medical device manufacturer with a broad product portfolio for cardiac surgeons, offering solutions for the treatment of aortic, mitral and tricuspid valve disease. The MANTRA Master Plan (Master Protocol) is intended as an overarching Umbrella Protocol that allows multiple sub-studies to be added, as needed. The Umbrella Master Protocol concept offers an excellent solution to provide post-marketing clinical follow-up information on the entire cardiac surgery heart valve portfolio of the sponsor in a common database, including corelab assessment of hemodynamic and structural performance, annular motion and Dynamics for one of the products. Currently, three sub-studies are planned: * MANTRA - Aortic Sub-Study * MANTRA - Mitral/Tricuspid Sub-Study (Excluding Memo 4D) * MANTRA - Memo 4D Sub-Study
Transcatheter aortic valve implantation (TAVI) serves a growing spectrum of patients with symptomatic severe aortic stenosis (AS). Approximately 80% of surgical aortic valve replacements is performed using a bioprosthesis1. Durability of surgical bioprostheses varies based on the patient's age at the moment of implantation, type and size etc2. TAVI has become the preferred treatment for degenerated aortic bioprostheses in elderly patients3. The median time since index surgical aortic valve replacement (SAVR) and for bioprosthetic valve degeneration is typically 8 - 10 years4-6. TAVI in this setting has proven to have equally favorable results as in native aortic valves7. Balloon expandable8 and self-expanding9 transcatheter heart valves (THV) can be used in a degenerated bioprosthesis and each have specific assets and limitations. TAVI in a failed bioprosthesis can cause coronary obstruction, THV migration, paravalvular leakage and prosthesis patient mismatch. The SAPIEN-3 / Ultra and EVOLUT R/Pro are the 2 most commonly used THV platforms in contemporary clinical practice including treatment of failing surgical aortic bioprostheses. Objective: To compare TAVI with EVOLUT R/Pro vs. SAPIEN-3 / Ultra in terms of device success. Study design: International multi-center randomized study with 1:1 randomization to TAVI with SAPIEN-3 / Ultra or Evolut R/Pro. Study population: 440 patients with a failing surgical aortic bioprosthesis (aortic stenosis with or without aortic regurgitation) and selected for transfemoral TAVI by heart-team consensus. Investigational intervention: Transfemoral TAVI with SAPIEN-3 / Ultra or Evolut R/PRO Main study parameters/endpoints: 1. Primary endpoint is device success at 30 days Defined by * Absence of procedural mortality AND * Correct positioning of a single prosthetic heart valve into the proper anatomical location AND * Intended performance of the prosthetic heart valve (no severe prosthesis- patient mismatch and mean aortic valve gradient \< 20 mmHg or peak velocity \< 3 m/s, AND no moderate or severe prosthetic valve regurgitation). Severe prosthesis patient mismatch is defined by effective orifice area (EOAi) ≤0.65 cm2/m2 2. Safety endpoint at 1 year defined by the composite of all-cause death, disabling stroke, rehospitalization for heart failure or valve related problems.
This registry evaluates the long-term outcome of Transcatheter aortic valve replacement (TAVR) in real-world clinical practice.
This prospective, multicenter, cluster-randomized controlled study aims to evaluate the accuracy of an investigational artificial intelligence (AI) Software as a Medical Device (SaMD) designed to compute ejection fraction (EF) severity categories based on the American Society of Echocardiography's (ASE) 4-category scale. The software analyzes continuous ECG waveform data acquired by the FDA-cleared Peerbridge COR® ECG Wearable Monitor, an ambulatory patch device designed for use during daily activities. The AI software assists clinicians in cardiac evaluations by estimating EF severity, which reflects how well the heart pumps blood. In this study, EF severity determination will be made using 5-minute ECG recordings collected during a 15-minute resting period with participants seated upright. The results will be compared to EF severity obtained from an FDA-cleared, non-contrast transthoracic echocardiogram (TTE) predicate device. This comparison aims to validate the accuracy of the AI software.
The overarching goal of this research proposal is to study the feasibility and clinical impact of implementing an Inova system-wide heart failure treatment algorithm for patients with symptomatic heart failure due to reduced left ventricular ejection fraction (HFreF) and secondary MR Aim is to check the effectiveness of the IHFTA in identifying patients who are most likely to benefit from percutaneous transcatheter Mitraclip repair in real world
Cardiovascular disease is the leading cause of death worldwide. Advanced cardiovascular imaging using Magnetic Resonance Imaging (MRI) has proven to be effective in providing gold standard myocardial tissue characterization. Moreover, the intrinsic advantage of MRI's lack of exposure to ionizing radiation is particularly beneficial. At the same time, blood work can be very useful in early detection of certain cardiomyopathy, such as amyloid. However, there is a lack of agreement of on which markers are the most sensitive. This multi-study will allow us the unique opportunity to form a more comprehensive understanding for various cardiovascular diseases. Our team has developed novel cardiac MRI techniques that leverages endogenous tissue properties to reveal a milieu of deep tissue phenotypes including myocardial inflammation, fibrosis, metabolism, and microstructural defects. Among these phenotypes, myocardial microstructure has proven to be most sensitive to early myocardial tissue damage and is predictive of myocardial regeneration. In this study, the investigators aim to further study the importance of cardiac microstructure revealed by MRI in patient and healthy population and compare this novel technology with conventional clinical biomarkers.