Clinical Research Directory

AI-Enabled Direct-from-ECG Ejection Fraction (EF) Severity Assessment Using COR ECG Wearable Monitor

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.

COR-INSIGHT: Optimizing Cardiovascular and Cardiopulmonary Outcomes with AI-Driven Multiplexed Indications Using COR ECG Wearable

The COR-INSIGHT trial aims to evaluate the effectiveness of Peerbridge COR advanced ambulatory ECG wearables (COR 1.0 and COR 2.0) in accurately and non-invasively detecting cardiovascular and cardiopulmonary conditions using AI-based software (CardioMIND and CardioQSync). The study devices offer non-invasive, multiplexed, AI-enabled direct-from-ECG detection as a novel alternative to traditional diagnostic methods, including imaging, hemodynamic monitoring systems, catheter-based devices, and biochemical assays. Continuous COR ECG data collected in hospital, outpatient clinic, or home settings will be analyzed to evaluate the predictive accuracy, sensitivity, specificity, and performance of these devices in differentiating between screen-positive and screen-negative subjects. The panel of screened indications encompasses a broad spectrum of clinically relevant cardiovascular, cardiopulmonary, and sleep-related diagnostic parameters, which are critical for advanced patient assessment and management. In the cardiovascular domain, the protocol emphasizes the detection and classification of heart failure, assessment of ejection fraction severity, and identification of myocardial infarction, including pathological Q-waves and STEMI. It further addresses diagnostic markers for arrhythmogenic conditions such as QT interval prolongation, T-wave alternans, and ventricular tachycardia, as well as insights into ischemia, atrial enlargement, ventricular activation time, and heart rate turbulence. Additional parameters, such as heart rate variability, pacing efficacy, electrolyte imbalances, and structural abnormalities, including left ventricular hypertrophy, contribute to comprehensive cardiovascular risk stratification. In the non-invasive cardiopulmonary context, the protocol incorporates metrics like respiratory sinus arrhythmia, cardiac output, stroke volume, and stroke volume variability, providing critical insights into hemodynamic and autonomic function. The inclusion of direct-from-ECG metrics for sleep-related disorders, such as the apnea-hypopnea index, respiratory disturbance index, and oxygen saturation variability, underscores the protocol's utility in addressing the intersection of cardiopulmonary and sleep medicine. This multifaceted approach establishes a robust framework for precision diagnostics and holistic patient management. The COR 1.0 and COR 2.0 wearables provide multi-lead ECG recordings, with COR 2.0 offering extended capabilities for cardiopulmonary metrics and longer battery life (up to 14 days). COR 2.0 supports tri-modal operations: (i) Extended Holter Mode: Outputs Leads II and III, mirroring the functionality of COR 1.0 for broader ECG monitoring applications. (ii) Cardiopulmonary Mode: Adds real-time recording of Lead I, V2, respiratory impedance, and triaxial accelerometer outputs, providing advanced cardiopulmonary insights. (iii) Real-Time Streaming Mode: Streams data directly to mobile devices or computers via Bluetooth Low Energy (BLE), enabling real-time waveform rendering and analysis. The COR 2.0 units are experimental and not yet FDA-cleared. Primary endpoints include sensitivity (true positive rate) \> 80%, specificity (true negative rate) \> 90%, and statistical agreement with reference devices for cardiovascular, cardiopulmonary, and sleep metrics. Secondary endpoints focus on predictive values (PPV and NPV) and overall diagnostic performance. The study employs eight distinct sub-protocols (A through H) to address a variety of cardiovascular, cardiopulmonary, and sleep-related diagnostic goals. These sub-protocols are tailored to specific clinical endpoints, varying in duration (30 minutes to 14 days) and type of data collection. Up to 15,000 participants will be enrolled across multiple sub-protocols. Screening ensures eligibility, and subjects must provide informed consent before participation. Dropouts and non-compliant subjects will be excluded from final analyses.

Study to Assess Safety and Efficacy of Treating Symptomatic, Ischemic, Chronic Congestive Heart Failure Patients with an LVEF of ≤40% with Fresh, Uncultured, Autologous, Adipose-derived Regenerative Cells Isolated from Lipoaspirate.

To investigate patients suffering from iHF and a LVEF of equal or less than 40% despite best medical treatment safety and efficacy of a single retrograde intra-cardiac venous (i.cv.) injection of UA-ADRCs isolated from lipoaspirate at the point of care, using the Transpose® RT / Matrase System (InGeneron, Houston, TX, USA) through an over-the- wire, small balloon catheter, advanced through the coronary si-nus and located within a coronary vein at the site of inter-est, versus patients on best medical treatment.

Midodrine in Heart Failure With Reduced Ejection Fraction With Hypotension

The evidence-based pharmacologic treatments available for patients with heart failure with reduced ejection fraction (HFrEF) has been established over the last few decades of cardiovascular research. These treatments, termed Foundational Guideline-Directed-Medical Therapies (GDMT), prolong patient life, improve patient-reported symptoms, and reduce hospitalizations for heart failure. A direct effect of most medication classes encompassed within GDMT is the reduction in blood pressure due to their mechanisms of action. In addition, as patients with HFrEF become more advanced in their disease, a significant proportion develop hypotension related to pump failure and autonomic dysfunction, amongst other possible mechanisms. As a result, a significant proportion of HFrEF patients are not optimized on GDMT with hypotension as their limiting barrier that would otherwise have served to improve their heart function, heart failure symptoms, and mortality. Currently, there does not exist any evidence-based strategies to address the problem of hypotension in HFrEF patients who are not optimized on GDMT. Midodrine is an alpha-adrenergic agonist (α1-AR) that exerts its effects on peripheral venous and arteriolar vasculature to increase blood pressure. This medication has been used off-label by some clinicians in the hypotensive HFrEF population to increase blood pressure and has been reported to have beneficial effects in improving GDMT utilization as well as increasing left ventricular ejection fraction (LVEF) in published case reports/case series. There does not exist any randomized prospective data on the use of midodrine in the hypotensive HFrEF population. The investigators' objective is to complete the first open-label, randomized control trial of midodrine in the hypotensive HFrEF population to demonstrate feasibility in performing a trial in this patient population and to show efficacy in increasing blood pressure without associated harm. The results of this trial will be used as the foundation and rationale for future studies assessing the impact of midodrine use on GDMT utilization as well as hard cardiovascular outcomes in the hypotensive HFrEF population, including hospitalizations for heart failure and mortality.

Coronary Artery Bypass Grafts or Percutaneous Coronary Intervention for High Risk Patients

Most patients with Left Ventricular Systolic Dysfunction (LVSD) or heart failure (HF) have coronary artery disease (CAD) while some patients also have renal disease. Life-saving revascularization is underperformed in patients with LVSD or HF due to CAD, and especially if there is concomitant renal disease. We hypothesize that PCI will be non-inferior to CABG for all-cause mortality and recurrent myocardial infarction (MI), stroke or hospitalization for HF. To compare revascularization by PCI versus by CABG, we will perform a multicentre, open-label, parallel, randomized, controlled trial in patients with severe CAD who belong to defined categories of moderate-to-high risk characteristics, where guidelines acknowledge that both PCI and CABG are relevant treatment options.