View clinical trials related to Arrhythmias, Cardiac.
Filter by:To study the clinical and organizational benefit of implementing a methodology for monitoring patients receiving an implantable diagnostic BIOMONITOR III holter and successive models, consisting of remote review of alerts sent by the device via the HOME MONITORING remote monitoring platform and the transmission of relevant patient symptoms through the use of a specific application installable on the patient's phone. The efficiency of this methodology will be compared with a control group consisting of monitoring through the usual clinical practice of the hospital.
The aim of this study is to demonstrate the safety and efficacy of STAR (Stereotactic Antiarrhythmic Radiotherapy) in patients with VT (ventricular tachycardia) who are unresponsive to standard treatments. Additionally, the planned study aims to provide further insights into the effects of STAR on VT burden, ICD interventions, and insights regarding late toxicities, particularly those related to the heart, which are currently not well understood.
The goal of this clinical trial is to learn if different types of heart rate control work to improve the clinical outcomes of patients with atrial fibrillation related to rheumatic mitral stenosis in terms of reducing hospitalizations, improving quality of life, and enhancing physical functional capacities. The two types of heart rate (HR) control are strict (resting HR of 60-80 bpm) versus lenient (resting HR of 81-110 bpm) rate control strategies. The main questions it aims to answer are: - Can lenient versus strict heart rate control reduce rehospitalization in patients with atrial fibrillation and rheumatic mitral stenosis? - Does lenient versus strict heart rate control improve the quality of life (QoL) in patients with atrial fibrillation and rheumatic mitral stenosis? - Does lenient versus strict heart rate control enhance functional capacity in patients with atrial fibrillation and rheumatic mitral stenosis? Researchers will compare strict rate control to lenient rate control to see if a particular rate control strategy is non-inferior to the other. Participants will: - Take standardized drugs as per PERKI (Indonesian Heart Association) guidelines for Atrial Fibrillation, which would be either beta-blockers, digoxin, or in combination. This standardized treatment of Atrial Fibrillation will be monitored once every month to see if the dose needs to be titrated in order to reach targeted heart rate control. - After the target of HR control is reached, the participant will be followed up every two weeks via telephone to check for any signs and symptoms. - Furthermore, after the HR target is reached, the participant will visit the cardiology outpatient clinics once every month for 3 consecutive months to see the clinical outcomes of hospitalization, QoL via SF-36 questionnaire, and functional capacities with 6MWT (6-minute walk test). - Additionally, the cardiac function would be evaluated by echocardiography at the baseline (time of enrollment) and at the end of the follow up period.
The CLIMATE-II Observational Study examines to what extent chronically ill patients experience adverse health effects because of heat and whether the patients' specific health behavior, somatosensory amplification, risk and benefit perception, self-efficacy, health literacy, degree of urbanisation of the patients' administration district and characteristics of the patients' neighborhood are associated with these effects.
Recurrent focal electrical activation (or ectopy) superseding sinus activation is the only mechanism proven to drive paroxysmal atrial fibrillation (AF). However, it has not been possible to show similar focal drivers during AF, owing to the limitations of mapping in persistent AF. RETRO-Mapping has been developed as a method to generate activation maps during AF to test the hypothesis that persistent AF is also maintained by focal drivers. RETRO-Mapping is able to locate sites of focal activation that were isolated, intermittent, or recurrent during persistent AF. However, a 30-second segment of AF can have approximately 150 wavefronts in a small area of myocardium. Screening for focal activation and manually validating these prior to ablation was not feasible using current commercial systems. RETRO-Mapping can automatically detect focal activation and a recording system that enables the intracardiac signals to be directly analysed by the RETRO-Mapping software. This will allow RETRO-Mapping to build a detailed classification of focal activation types and study the impact of ablation of these sites on the AF cycle length, to address the hypothesis that persistent AF is maintained by focal drivers.
The goal of this clinical trial is to test how how effective the Circa Scientific Rook® Epicardial Access Kit is at gaining guidewire access to the outside surface of the heart (epicardium). In addition the safety of the device will be compared to the available data for alternative methods of epicardial access. Participants will receive treatment with the subject device during the course of a typical epicardial electrophysiology procedure.
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia affecting millions globally, with projections indicating a doubling of cases by 2050. AF is linked to heightened cardiovascular risks like stroke and increased healthcare costs. Ablation, targeting the arrhythmia substrate, is a method to manage AF, yet recurrence rates remain high (20-45% in the first year). Studies highlight the impact of comorbidities, AF characteristics, ablation techniques, and myocardial remodeling markers on AF progression and ablation efficacy. However, there's no definitive guidance on selecting these factors for predicting treatment success. The aim of this study is to investigate predictors of successful AF ablation in the following areas: (a) clinical factors, (b) electrophysiological, (c) electrocardiographic, (d) ultrasound, (e) cardiac anatomy, (f) biomarkers.
Despite a clear definition in the European Society of Cardiology (ESC) guidelines, the differentiation between paroxysmal (self-terminating) and persistent (nonself- terminating) atrial fibrillation (AF) remains challenging in clinical practice. Some patients with presumed persistent AF are planned for electrical cardioversion (ECV) but appear to have a paroxysmal pattern or present in sinus rhythm (SR) at the scheduled ECV appointment. This results in unnecessary visits or interventions for patients, and costs and burden for the hospitals and health insurances. Based on the feasibility of the TeleCheck-AF approach, which is an on-demand mobile health (mHealth) infrastructure incorporating app-based heart rate and rhythm monitoring to support remote AF management through teleconsultation, the investigators aim to extend this mHealth approach to the management of presumed persistent AF patients planned for ECV.
The goal of this observational study is to evaluate the clinical characteristics of patients undergoing permanent cardiac pacing and to compare procedural efficacy and safety of different implantation approaches in the clinical practice of the participating centres. The contribution of non-fluoroscopic anatomical and electrophysiological reconstruction systems to device implantation procedures will also be evaluated. Participants [patients over 18 years old with an indication to receive a definitive pacemaker/intracardiac defibrillator implant] will receive a permanent cardiac pacing implant as requested according to European Society of Cardiology (ESC) guidelines; the investigators will evaluate procedural efficacy and safety of different implantation approaches.
Sudden cardiac death (SCD) is the final result of cardiac arrest (CA) , defined as an abrupt and unexpected loss of cardiovascular function resulting in circulatory collapse and death. Up to 50% of cardiac deaths in Europe are due to CA. The estimated mortality of CA is approximately 90%, and significant functional and/or cognitive disabilities often persist among those who survive. The advent of the implantable cardioverter-defibrillator (ICD) has revolutionized the prevention of SCD in high-risk patients with reduced left ventricular ejection fraction (LVEF<35%). However, the algorithm recommended by current guidelines based on LVEF, considered the only parameter to identify high-risk patients, cannot stratify the population and the spectrum of risk with high accuracy. Although the risk of CA is higher among patients with LVEF<35% and NYHA class>1, because of the enormity of the population size at risk (i.e., with organic heart disease and LVEF>35%), most SCD does occur in patients with LVEF>35%. Additionally, the majority of pts who receive the ICD for primary prevention of SCD will not benefit from the device (in the Sudden Cardiac Death in Heart Failure Trial published in 2005, the rate of appropriate ICD therapy was 21% at five years), and/or will experience some side effects of it. In the Israeli registry of patients who underwent ICD (n= 1729) or cardiac resynchronization therapy (n= 1326), the 12-year cumulative incidence of adverse events was 20% for inappropriate shock, 6% for device-related infection, and 17% for lead failure. Moreover, recent improvements in drug treatment for HF and myocardial revascularization have further reduced the incidence of SCD in pts with low LVEF. Finally, pts with advanced HF are unlikely to benefit from ICD therapy because of the high rates of non-arrhythmic deaths. Therefore, improved risk stratification approaches to guide the selection of pts for ICD implantation are needed, and only a multiparametric approach may aim to personalize the risk prediction of SCD across the broad spectrum of the phenotypes of HF patients. The RESPECT project has been designed to personalize the risk of SCD by integrating and interpreting information highly multidisciplinary: clinical and bio-humoral, genetics and electrocardiography, conventional and advanced cardiac imaging, and data science. The investigators hypothesized that machine learning models capable of dealing with non-linearities and complex interactions among predictors, including genetic, clinical, electrocardiographic, bio-humoral, echocardiographic, cardiac magnetic resonance (CMR), and nuclear cardiology data, would have superior accuracy in predicting the occurrence of SCD compared with the currently recommended metrics of NYHA class and LVEF by two-dimensional echocardiography and that the personalized risk prediction of SCD will translate in more cost-effective use of ICDs. In addition, the investigators will use the multiparametric predictive models to develop a cloud-computing app that will allow clinicians to predict the risk of occurrence of SCD based on specific covariate profiles of individual patients.