Left Ventricular (LV) Systolic Dysfunction

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.

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.

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.

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.

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

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.