View clinical trials related to Death, Sudden, 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.
Implantable cardioverter-defibrillators (ICD) are currently recommended for the primary prevention of sudden cardiac death (SCD) in patients with a remote (>6 weeks) myocardial infarction (MI) and a low (≤35%) left ventricular ejection fraction (LVEF). Ventricular tachycardia (VT) and/or ventricular fibrillation (VF), which are responsible for most SCDs, result from the presence of surviving myocytes embedded within fibrotic MI-scar. The presence of these surviving myocytes, as well as their specific arrhythmic characteristics, is not captured by LVEF. Hence, the use of LVEF as a unique risk-stratifier of SCD results in a low proportion (17 to 31%) of appropriate ICD device therapy at 2 years. Consequently, most patients with a prophylactic ICD do not present VT/VF requiring ICD therapy prior to their first-ICD battery depletion. Thus, many patients are exposed to ICD complications, such as inappropriate shocks, without deriving any health benefit. Therefore, the current implantation strategy of prophylactic ICDs, based on LVEF only, needs to be improved in post-MI patients.
The overall goal of this project is to design, develop, and pilot test an emergency healthcare drone delivery system suitable for rural communities that can deliver AEDs to out-of-hospital cardiac arrest (OHCA) locations more rapidly than can be achieved with current first responder and EMS systems. The goal is to determine whether this method of AED delivery can be achieved rapidly enough to justify a future clinical trial directly testing its ability to improve OHCA survival.
Anomalous aortic origin of a coronary artery (AAOCA) is a group of rare congenital heart defects with various clinical presentations. The lifetime-risk of an individual living with AAOCA is unknown, and data from multicentre registries are urgently needed to adapt current recommendations and guide optimal patient management. The European Registry for AAOCA (EURO-AAOCA) aims to assess differences with regard to AAOCA management between centres.
WILLEM is a multi-center, prospective and retrospective cohort study. The study will assess the performance of a cloud-based and AI-powered ECG analysis platform, named Willem™, developed to detect arrhythmias and other abnormal cardiac patterns. The main questions it aims to answer are: 1. A new AI-powered ECG analysis platform can automatice the classification and prediction of cardiac arrhythmic episodes at a cardiologist level. 2. This AI-powered ECG analysis can delay or even avoid harmful therapies and severe cardiac adverse events such as sudden death. The prerequisites for inclusion of patients will be the availability of at least one ECG record in raw data, along with patient clinical data and evolution data after more than 1-year follow-up. Cardiac electrical signals from multiple medical devices will be collected by cardiology experts after obtaining the informed consent. Every cardiac electrical signal from every subject will be reviewed by a board-certified cardiologist to label the arrhythmias and patterns recorded in those tracings. In order to obtain tracings of relevant information, >95% of the subjects enrolled will have rhythm disorders or abnormal ECG's patterns at the time of enrollment.
The goal of this clinical trial is to demonstrate that the OPTIMIZER® Integra CCM-D System (the "CCM-D System") can safely and effective convert induced ventricular fibrillation (VF) and spontaneous ventricular tachycardia and/or ventricular fibrillation (VT/VF) episodes in subjects with Stage C or D heart failure who remain symptomatic despite being on guideline-directed medical therapy (GDMT), are not indicated for cardiac resynchronization therapy (CRT), and have heart failure with reduced left ventricular ejection fraction (LVEF ≤40%). Eligible subjects will be implanted with the CCM-D System. A subset of subjects will be induced into ventricular fibrillation "on the table" in the implant procedure room. During the follow-up period, inappropriate shock rate and device-related complications will be evaluated. The follow-up period is expected to last at least two years.
There is some limited evidence that reduced size of electrical complexes/traces of the heart on the electrocardiogram (ECG) may be associated with scarring in the heart muscle, which may predispose to serious life-threatening electrical abnormalities and sudden cardiac death (SCD). There is no current guidance on how young individuals and athletes with reduced ECG traces should be managed. Therefore, correct interpretation of this ECG finding is crucial for identifying athletes with disease and at risk of SCD. Some athletes experience SCD despite normal standard cardiac tests. The investigators, therefore, propose to study young healthy individuals and young athletes using cardiovascular MRI, cardiopulmonary exercise testing, 24 hour ECG monitoring and genetic analysis to determine the significance of reduced ECG traces and possibly revise current international sports recommendations.
Background: Bruton s tyrosine kinase inhibitors (BTKi) are used to treat a form of leukemia. But taking BTKi can also increase a person s risk of developing an abnormal heart rhythm. This can cause sudden death. In this natural history study, researchers want to learn how BTKi affects the heart. Objective: To identify and monitor the effects of BTKi on the heart. Eligibility: People aged 18 and older currently receiving or planning to receive BTKi or venetoclax. Design: Participants who have not yet started BTKi will have 2 required clinic visits: 1 before they start taking BTKi, and 1 about 6 months later. Participants who are already taking BTKi will have 1 required visit. Participants will undergo multiple tests: A physical exam, including collection of blood and saliva. A test that measures heart activity via stickers placed on the chest. A test that uses sound waves to capture images of the heart. An exercise stress test that monitors heart activity and blood pressure while the participant works on a treadmill or stationary bike. Sound wave images of the heart may also be taken while the participant exercises. Stress magnetic resonance imaging (MRI) may be done in place of an exercise test. Participants will lie on a table that slides into a tube. They will be given drugs to stress the heart while images are taken. Participants may wear a device to monitor their heart at home. Participants may have repeat visits if they develop heart symptoms or if they need to stop taking BTKi. They will have follow-up phone calls each year for up to 3 years.
Determination the success rate of CPR on adults in Emergency room and predicting the factors that makes CPR is successful.