Clinical Research Directory

Cor360: Clinician-Facing Broad-Spectrum Cardiac Phenotyping and Risk Assessment Using COR® Wearable ECG to Inform Outcomes-Oriented Care Pathways

Cor360 is an observational study evaluating whether extended wearable electrocardiogram (ECG) data can support broad-spectrum cardiac phenotyping and risk assessment beyond conventional single-purpose ambulatory rhythm monitoring. The study evaluates a clinician-facing, AI-enabled decision-support system that analyzes data from the Cor XT and Cor MDx wearable ECG devices and organizes patient-specific findings into an integrated Cor360 report for review by qualified clinicians. Rather than focusing only on detection of arrhythmias, Cor360 evaluates multiple dimensions of cardiovascular physiology and disease simultaneously. The active Cor360 indication panel may include more than 150 reportable findings or sub-findings organized across six clinically oriented pathways: Structural, Functional, Conductance, Hemodynamic, Neurohormonal/Autonomic, and Atrial Fibrillation/Ventricular Arrhythmia/Sudden Cardiac Death. Depending on the ECG data available for an individual participant, Cor360 may characterize findings and risk markers related to left ventricular hypertrophy and atrial enlargement; heart-failure phenotype and ejection-fraction-related abnormalities; conduction delay and heart block; repolarization and ischemia-related abnormalities; atrial fibrillation and atrial substrate; ventricular ectopy, nonsustained ventricular tachycardia and electrical-instability markers; syncope mechanisms; and selected ECG-derived hemodynamic and structural/functional surrogates. The platform may also evaluate autonomic regulation and heart-rate variability, cardiopulmonary coupling, sleep-disordered breathing and obstructive sleep apnea screening indicators, electrolyte-related ECG abnormalities, and other clinically relevant physiologic patterns. Cor360 is designed to move from isolated ECG findings toward multidimensional cardiac phenotyping and multi-pathway risk assessment. Individual findings may be combined into clinically meaningful phenotypes and risk profiles, such as atrial-fibrillation-prone substrate, heart-failure-related autonomic or repolarization profiles, ventricular electrical-instability patterns, ischemia-related risk signals, or sleep-disordered-breathing-related cardiovascular burden. Where repeated ECG studies are available, Cor360 may also assess changes in cardiac phenotype, physiologic state, and risk trajectory over time. Reports are individualized rather than identical across participants. Only indications supported by the participant's available data, signal quality, monitoring duration, and applicable analysis criteria are presented. Longer-duration recordings may support deeper assessment of autonomic function, sleep-related physiology, intermittent abnormalities, and longitudinal risk patterns. Cor360 also evaluates whether an extended wearable ECG record can support cross-domain clinical synthesis rather than requiring each physiologic signal to be interpreted in isolation. When appropriate, reports may link detected phenotypes and risk markers to guideline-informed care-pathway considerations while identifying uncertainty, data-quality limitations, and findings that are not reportable because monitoring-duration or signal criteria are not met. The primary objective of the study is to determine whether clinicians judge Cor360 reports to provide clinically actionable cardiac phenotyping or risk-assessment information. The study will also evaluate whether reviewing a Cor360 report changes, refines, or confirms a clinician's assessment or intended care pathway, and how Cor360 findings agree with available clinical reference information, standard-of-care testing, or independent expert review. The study includes adults 18 years of age or older with completed or planned Cor XT or Cor MDx wearable ECG monitoring. It includes retrospective and prospective single-study assessments, longitudinal repeated-study assessments, combined retrospective/prospective analyses, and selected limited-duration streaming or patient-activated event assessments. The protocol spans real-world acquisition settings, including home, clinic, ambulatory care, emergency department/triage, ambulance or transport, hospital-based, and hybrid clinic-to-home workflows. Where suitable reference information is available, Cor360 findings may be compared with 12-lead ECG interpretation, Holter or ambulatory ECG findings, echocardiography, other imaging, laboratory results, sleep testing, clinical diagnosis, or blinded expert-panel review. Cor360 is being evaluated as a clinician-facing decision aid and not as an autonomous diagnostic system. Its outputs are intended to augment clinical interpretation and support consideration of relevant care pathways, including rhythm management, heart-failure evaluation, ischemia assessment, conduction or pacing evaluation, and sleep-apnea work-up. The clinician remains responsible for diagnosis, treatment, testing, referral, and patient management.

Association Between Circulating BDNF Levels and Atrial Cardiomyopathy in Patients Undergoing Ablation for Persistent Atrial Fibrillation

trial fibrillation (AF) is the most common cardiac arrhythmia worldwide, and its prevalence continues to rise. AF is associated with serious complications, including embolic strokes, heart failure, and mortality. Characterized by rapid, irregular, and weakened contractions of the atria, AF is considered one of the "visible" electrophysiological manifestations of a broader condition known as atrial cardiomyopathy (ACM). Disruption of normal blood flow in the atrium, particularly in the context of an endocardium predisposed to thrombosis, predisposes to thrombus formation. Once dislodged from the atrial cavity and migrating to the cerebral arteries, these thrombi can cause a cardioembolic stroke. The main risk factors for ACI/AF are metabolic syndrome and aging. CMA is a condition that is difficult to diagnose because it is not clearly defined, except through histological analysis. Guided by the results of our experimental approaches, we aim to address this challenge by approaching CMA through one of its complications: persistent atrial fibrillation. Indeed, CMA can be assessed using electroanatomical mapping during atrial fibrillation ablation (AFA) procedures. During radiofrequency ablation of AF, electroanatomical mapping of the left atrium is performed to measure left atrial voltage, which serves as an indirect marker of the presence of atrial fibrosis, strongly associated with CMA. Other parameters relevant to the identification of CMA can be assessed during this procedure, such as conduction velocities and specific electrographic characteristics. We plan to include 150 patients undergoing ablation for persistent atrial fibrillation at the Dijon Bourgogne University Hospital and to correlate circulating levels of BDNF (brain-derived neurotrophic factor) with electroanatomical mapping data of the left atrium. The electrical remodeling of the left atrium, including low-voltage areas and conduction velocity, as well as left atrial morphology assessed by pre-procedural cardiac computed tomography using the ADAS3 Galgo LA Module software, will be correlated with BDNF levels. Blood samples for BDNF assessment will be collected before or at the start of the ablation procedure, prior to any catheter insertion into the vessels. While investigating the association between BDNF levels and CMA characteristics during AF ablation, thereby confirming the pathophysiological relationship with atrial remodeling, our objective is also to evaluate the prognostic role of BDNF levels in clinical and rhythm outcomes following AF ablation. Thus, we will compare changes in BDNF levels after AF ablation at one-year follow-up, correlating them with the evolution of CMA-based on left atrial parameters assessed by echocardiography or cardiac computed tomography-autonomic nervous system balance and heart rhythm obtained via Holter monitoring, as well as clinical outcomes.

Prognostic Role of AI-Echo

Left atrial cardiomyopathy (LACM) is frequently underdiagnosed but plays a key role in increasing the risk of atrial fibrillation (AF) and thromboembolic events. While atrial strain is a validated marker of LACM, its measurement with conventional echocardiography can be time-consuming and less feasible in acute settings. The use of AI-assisted echocardiography (AI-echo) may help streamline image acquisition and analysis, offering faster and potentially more accurate assessment. This study aims to compare the time required for atrial strain analysis using AI-echo versus standard methods. It also explores how changes in strain parameters (LASr, LASct, LAScd) relate to the onset of AF and in-hospital adverse outcomes, adjusting for comorbidities and conventional echo variables. Main endpoints include time reduction with AI-echo and the association between strain changes and AF, complications, or mortality during hospitalization.

Clinical Cohort Study - TRUST

The "Long-term Outcome and Predictors for Recurrence after Medical and Interventional Treatment of Arrhythmias at the University Heart Center Hamburg" (TRUST) study is an investor-initiated, single-center, prospective clinical cohort study including patients treated with cardiac arrhythmias or at high risk for cardiac arrhythmias. The design enables prospective, low-threshold, near complete inclusion of patients with arrhythmias treated at the UHZ. Collection of routine follow-up data, detailed procedural information and systematic biobanking will enable precise and robust phenotyping.

Atrial Fibrillation (AF) Ablation to Prevent Disease Progression of AF-induced Atrial Cardiomyopathy in Women and Men

The goal of clinical trial is to compare AF ablation to pharmacological rhythm management (being rate or rhythm control) in AF patients with signs of atrial cardiomyopathy (as defined by left atrial volume index \>34 ml/m2) The main objective it aims to answer is to determine whether AF ablation compared to pharmacological rhythm management in ACMP patients with AF reduces the incidence of the composite primary endpoint of CV death and first CV hospitalization/urgent visit.