Clinical Research Directory

PASCAL Precision-GDMT Registry

The goal of this observational study is to demonstrate that successful tricuspid valve repair with the PASCAL Precision System in participants with at least severe tricuspid insufficiency and left ventricular dysfunction will be associated with an improvement in up-titration of guideline-directed medical therapy (GDMT). The main question it aims to answer is: Does the tricuspid insufficiency repair with the Pascal Precision System increases the dose of the medications used for heart failure therapy in the study population 12 months after tricuspid repair, as compared to the dose taken at baseline. Participants undergoing tricuspid repair and fulfilling all inclusion/exclusion criteria will be asked to answer heart failure assessment as well as quality of life questionnaires at baseline and at 12 months post intervention. Medication monitoring will be performed throughout the study.

REsynchronization Comparison In LBBB and Normal or Mildly Reduced VENTricular Function With CRT (REINVENT-CRT)

Primary Objective - To determine if implantation of a permanent CRT pacing device (with LB-CRT, or conventional BiV-CRT with a coronary sinus LV lead) can improve electromechanical function, HF symptoms, and natriuretic peptide levels among patients with symptomatic HF, LVEF \> 35%, and LBBB.

Evaluation of Left Ventricular Ejection Fraction Using an Accelerated Cardiac Cine-MRI Sequence With Deep Learning-based Image Reconstructions

Left ventricular hypertrophy (LVH) is a common condition that may result from hypertension, hypertrophic cardiomyopathy, aortic valve stenosis, or certain metabolic disorders. Cardiac imaging is essential for diagnosis, prognostic assessment, and quantification of cardiac function. While transthoracic echocardiography remains widely used, it is limited by acoustic window dependence and inter-observer variability. Cardiovascular Magnetic Resonance (CMR) imaging currently serves as the reference standard for measuring left ventricular ejection fraction (LVEF), cardiac volumes, and tissue characterization. However, conventional cine-CMR sequences require repeated breath-holds, which are often challenging for elderly or dyspneic patients, generating respiratory motion artifacts that compromise image quality. Accelerated cine-CMR sequences with deep learning-based image reconstructions offer a promising alternative by significantly reducing acquisition time while preserving image quality. This study aims to evaluate whether these accelerated cine-CMR sequences provide LVEF measurements concordant with conventional cine-CMR sequences, with potential to improve patient comfort and reduce examination time.