Clinical Research Directory

Performance of the Cardiac Microcurrent (C-MIC) System With a Less Invasively Placed Left Ventricular Lead

Patients with idiopathic dilated cardiomyopathy in heart failure (NYHA class III - IV) with a baseline left ventricular ejection fraction between ≥25% and ≤35%, and patients with non-ischemic cardiomyopathy in heart failure (NYHA class III-IV) with a baseline left ventricular ejection fraction \>40% and \<50% despite guideline-directed medical therapy, will receive C-MIC treatment in addition to optimal medical management. The device can be implanted without the need for open-heart surgery. Patients are assigned to one of two groups according to the indications under investigation. At the end of the study after 6 months, the C-MIC System will be turned off. The primary endpoint of the study is the absolute change in left ventricular ejection fraction after 6 months of treatment.

Ketamine-lidocaine Versus Ketamine-fentanyl for Induction of Anesthesia in Patients With Left Ventricular Systolic Dysfunction Undergoing Elective Coronary Artery Bypass

This study compares ketamine/fentanyl versus ketamine/lidocaine in term of their impact on cerebral perfusion during CABG. No prior data address these effects, and the goal is to identify the induction regimen that better preserves cerebral oxygenation.

AI-Enabled Electrocardiogram-Guided Guideline-Directed Medical Therapy on Incident Left Ventricular Dysfunction: A Target Trial Emulation Study

This multicenter retrospective study evaluates whether artificial intelligence-enabled electrocardiography (AI-ECG) can identify individuals at high risk for left ventricular dysfunction and whether targeted guideline-directed medical therapy can mitigate subsequent risk. Using a large multicenter cohort of patients with preserved left ventricular systolic function, the investigators applied an AI-ECG-based risk stratification approach and emulated a target trial to examine the association between guideline-directed therapies and the risk of incident left ventricular functional decline.

Hybrid Ablation of Atrial Fibrillation in Heart Failure

A randomised controlled trial to assess the efficacy of staged hybrid ablation when compared with standard catheter ablation in patients with non-paroxysmal atrial fibrillation (AF) and Heart Failure

AI-based Prediction of Cardiac Function Using Echocardiography and Body Composition Data (ECHO-FIT Study)

This prospective observational study (ECHO-FIT Study) aims to develop and validate a predictive model for cardiac function, particularly left ventricular ejection fraction (LVEF), by integrating echocardiographic measurements with body composition data obtained from the QCCUNIQ BC 720 device. The study plans to enroll 2,000 adult participants, comprising 1,000 individuals with normal LVEF (≥50%) and 1,000 with heart failure (LVEF \<50%), all of whom will undergo standard-of-care echocardiography and body composition analysis. By analyzing the relationships between key echocardiographic parameters (such as LVEF and diastolic function) and body composition measures (including fat mass, skeletal muscle mass, and total body water), we will develop a non-invasive prediction model capable of identifying individuals at higher risk of cardiac dysfunction. This innovative approach has the potential to enhance early detection and personalized management of heart failure, reduce dependence on resource-intensive diagnostic procedures, and ultimately improve patient outcomes.