View clinical trials related to Sudden Cardiac Death.
Filter by: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.
This study aims to evaluate the electrophysiological properties of the heart conduction system in patients with unexplained polymorphic ventricular tachycardia (VT) and/or ventricular fibrillation (VF), in patients with specific genetic mutations regarding sudden cardiac death or sudden cardiac arrest, in their family members and in a control cohort. The electrophysiological properties will be measured with the relatively new technique ECG-Imaging (ECGI). Also a National Dutch registry for patients with unexplained polymorphic VT and/or VF and their family members will be created. By combining the data from the registry and the results of ECGI, The investigators hope to identity risk markers for patients at higher risk for apparently idiopathic ventricular fibrillation, and use these for an adapted flow chart for the 'general'population of patients at risk for unexplained polymorphic VT and/or VF. The investigators aim to be able to identify patients before the first arrhythmic event, and aim for better treatment strategies in the future.
This study is a prospective, multicenter, cohort study. The study will be completed in three phases. The first phase aims to establish SCD PW marker and PW score scoring system 1. Use big data processing techniques to find out the differences between survivors with ventricular arrhythmias and normal controls. Find out the SCD Pre-warning ECG Marker (PW marker). 2. Establish SCD Pre-warning risk score system according to traditional SCD risk factors, clinical characteristics of patients and abnormal electrocardiogram indicators. 3. According to the established SCD PW marker and PW score scoring system, the original group of patients are classified and scored. After five years of follow-up with sustained ventricular tachycardia or ventricular fibrillation as the primary end point and sudden cardiac death as the secondary endpoint, Kaplan-Meier are used to calculate the mortality rate of sudden cardiac death and Kaplan-Meier survival analysis. The COX proportional hazards regression model is used to further determine and evaluate the SCD predictive value of PW marker and PW score risk factor scoring system. The second phase is to validate the established PW marker and PW score system models and evaluate the SCD predictive value of it. This stage is divided into two parts: 1. Patients enrolled in traditional high-risk ventricular arrhythmia, will be divided into PW marker positive group and PW marker negative group and join in a 5-year follow-up. Kaplan-Meier is used to calculate the mortality rate of sudden cardiac death and Kaplan-Meier survival analysis is performed to further verify the early warning effect of PW marker on SCD. 2. Patients will be divide into three groups including the low-risk group, middle-risk group and high-risk group according to the PW score risk factor scoring system and join in a 5-year follow-up. Kaplan-Meier is used to calculate the mortality rate of sudden cardiac death, and Kaplan-Meier survival analysis is used to further verify the early warning effect of PW score scoring system on SCD. The third stage is the development stage of SCD early warning equipment. This stage will conduct clinical translational medical studies of PW marker and PW score based on the previous study and develop PW marker and PW score as portable SCD warning device and/or mobile phone APP which will be applied to the clinic for early warning diagnosis of SCD.