Cardiac Arrest Clinical Trial
Official title:
Better Mechanistic Understanding of and Risk Stratification for Ventricular Tachyarrhythmias Through ECGI
This study aims to evaluate the electrophysiological properties of the heart conduction system in patients with (increased risk of) ventricular tachyarrhythmias (VTA) and sudden cardiac arrest, and in a control cohort. The electrophysiological properties will be measured with the relatively new technique ECG-Imaging (ECGI). Moreover, clinical data of subjects will be gathered. By combining the data from the data gathering and the results of ECGI, the investigators hope to increase mechanistic understanding of and risk stratification for VTAs. The investigators aim to be able to identify patients at risk of an arrhythmic event, and aim for better treatment strategies in the future.
ECGI combines electrical body-surface mapping with 256 electrodes placed on the thorax with a CT-scan obtaining the anatomy of the heart and torso, hereby able to reconstruct local electrograms, activation and recovery times. In recent research, ECGI provided numerous extra insights into normal cardiac electrophysiology, but also electrophysiological disorders and disease. The results strongly suggest that ECGI can play a pivotal role in further characterizing arrhythmia mechanisms, therefore could do so for VTAs, leading to diagnosis and treatment improvement. Moreover, ECGI seems to have the potential to detect arrhythmogenic substrate in individuals before their first event, offering the possibility to diagnose and treat patients before sudden cardiac arrest occurs. In the BREACH-ECGI study: ECGI will be used to noninvasively characterize the epicardial electrophysiological substrate and triggers of: - Patients with (increased risk of) VTAs - A control cohort. Results will be evaluated for increased mechanistic understanding and risk stratification. Moreover, clinical data of subjects will be gathered. These data will be analyzed to determine their prognostic value in terms of arrhythmia risk ;
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