View clinical trials related to Arrhythmias, Cardiac.
Filter by: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.
The Multitude is a registry of patients who receive commercially available CIEDs that remotely communicate through the LATITUDE monitoring system and transfer data to a central database. The registry is designed to constitute a shared environment for the collection, management, analysis and reporting of clinical and diagnostic data, adopted by a network of European scientifically-motivated physicians who use rhythm management diagnostic and therapeutic solutions from Boston Scientific in their clinical practice. The Multitude study will facilitate the sharing of scientific proposals within a large network of researchers, and it will allow researchers to record the experience with medical devices throughout the device and patient lifecycle.
This study is a Multi-center, prospective, randomized, unblinded, two-arm study to assess if 7-days of cardiac monitoring using the ePatch Holter results in identification of more clinically actionable arrythmia for patients with symptoms of syncope than standard 24 hour Holter monitoring.
The goal of this interventional clinical trial is to establish a comprehensive, structured database that includes photoplethysmography (PPG) measurements with simultaneously recorded electrocardiography (ECG) data to evaluate the FibriCheck Algorithm in patients with heart rhythm disorders.
The objective of this study is to determine if there is a meaningful benefit to using the sedative medication dexmedetomidine in the acute treatment of patients with recurrent ventricular arrhythmias, known as electrical storm. This will be a multi-centre, double-blinded, placebo-controlled, randomized trial. Patients with electrical storm will be randomized to receive 48 to 72 hours of dexmedetomidine or placebo as part of their initial treatment in an intensive care unit.
Over the past few years, various systems have been developed to record ECG traces on an ambulatory basis. The latest connected watch models feature 2-electrode ECG recording. This single (1D) or six derivations (6D) can be used to derive a wealth of information about the heart's rhythm. The information that can be derived from an ECG recording with a derivation goes far beyond̀ simple differentiation between atrial fibrillation and sinus rhythm. In contrast, in various clinical situations, a tracing restricted to an intracardiac defibrillator (ICD) may prove falsely normal, wrongly reassuring a patient and delaying management. The primary objective of the study is to evaluate the sensitivity of ECG-1D or 6D recordings from a connected watch in measuring electrical parameters, compared with a standard ECG-12D, also to obtain a bank of tracings, to create and validate an artificial intelligence algorithm for the automatic analysis of ECG tracings recorded with a connected watch and also to validate the feasibility and sensitivity of recording an ECG tracing with a connected watch in children.
Introduction: Health education provided through the escape-room is still a recent approach in educational methodology and tends to be a strategy that benefits nursing students, particularly in gaining knowledge and skills. However, few studies have explored the use of both in-person and virtual escape-room as an educational methodology in nursing. Objective: To assess the effectiveness of the gamification strategy through the in-person escape-room model compared to the virtual model in enhancing cognitive and affective competencies for recognizing cardiac arrhythmias in critical care patients within the nursing field. Method: A randomized clinical trial to be conducted with nursing students from higher education institutions in the Federal District, Brazil. Students will undergo a theoretical class on cardiac arrhythmias in critical patients and will then be randomized to experience either the in-person or virtual escape-room scenario. Knowledge tests, the Depression, Anxiety, and Stress Scale, Satisfaction and Self-confidence Scale in nursing management learning, and perceived gains will be administered pre and post-intervention. Results with p≤0.05 will be considered significant. Expected Results: It is anticipated that this study will contribute to the enhancement and broadening of cognitive and affective competencies in nursing students, improving the quality of care through an active educational strategy like the escape-room, and consequently reducing costs for the Unified Health System by minimizing errors in recognizing clinical changes in critical patients. Additionally, the study aims to address gaps in understanding the use of educational escape-rooms in the field of nursing.
FLOW EVAL-AF is a prospective, observational, single center pilot trial. The FLOW EVAL-AF trial is designed to identify driver sources in patients with persistent or longstanding persistent AF using EGF mapping and describe the activation patterns observed from concomitant high density mapping of those regions.
HELP-A study is a single-center, randomized, controlled trial. A total of 588 patients enrolled during the 2 years of enrollment period and followed for 1 month of follow-up period. This study aims to compare diagnostic yield between continuous ECG Patch and intermittent handheld ECG in patients with arrhythmia symptoms.
This study is a multicenter, prospective and randomized controlled study. The experiment includes a 1-week screening period (1 week before dialysis) and a 7-week treatment period (1-4 weeks of dose drip period and 5-7 weeks of evaluation period). During the screening period, all patients were randomly divided into the control group and the treatment group. On the non-dialysis day of the treatment period, the treatment group was given a certain dose of sodium zirconium silicate, and the blood potassium value was measured before and after each dialysis to maintain the blood potassium at 4.0-5.0mmol/L before dialysis. At the same time, 12-lead ECG and 24-hour Holter were completed at the first and last dialysis during the treatment period, and finally the ECG stability and its relationship with blood potassium were evaluated.