Ischemic Heart Disease Clinical Trials

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. Read Less

This study seeks to expand the use of the NYU GeriKit mobile application ("app") in a diverse range of settings to better phenotype older patients, which will enhance both research and patient care. Read Less

Among patients with stable ischemic heart disease who are referred for coronary angiography, a substantial proportion have non-obstructive coronary artery disease (CAD). Ischemia based on symptoms or stress testing may be due to coronary microvascular dysfunction in up to 40% of these patients. However, the mechanisms and optimal treatment of coronary microvascular dysfunction are unknown. Aberrant platelet activity and inflammation have been hypothesized as mechanisms of microvascular dysfunction. Investigators plan to evaluate association between platelet activity, inflammation, and coronary microvascular dysfunction in stable women referred for coronary angiography, and to identify non-invasive correlates of coronary microvascular dysfunction in these patients. Read Less

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. Read Less

This is a Phase IIA, randomized, double blind, placebo controlled, multicenter study designed to assess the safety, feasibility, and efficacy of umbilical cord derived mesenchymal stromal cells (UC MSCs), administered intravenously (IV) as a single dose or repeated doses, in patients with ischemic cardiomyopathy (ICM). Read Less

A prospective, multicenter, observational, single-arm trial to validate CardioFlux MCG's ability to diagnose myocardial ischemia caused by coronary microvascular dysfunction in patients with suspected ischemia and confirmed no obstructive coronary artery disease (suspected INOCA) by using diagnostic measures of coronary flow reserve (CFR) via invasive angiography as a reference standard for diagnosis. Read Less