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Premature Atrial Complex clinical trials

View clinical trials related to Premature Atrial Complex.

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NCT ID: NCT05866731 Recruiting - Clinical trials for Premature Ventricular Contraction

The Heart Rhythm Twins Study

Start date: March 22, 2022
Phase:
Study type: Observational

Premature atrial contractions (PACs) and premature ventricular contractions (PVCs) are observed in the majority of individuals monitored for more than a few hours. Although the clinical course of PACs and PVCs is usually benign, it has been described that high PAC or PVC frequency causes various comorbidities and worsens outcomes in different patient groups. For example, PACs can initiate episodes of atrial fibrillation, and PAC count is highly specific in predicting diagnosis of incident atrial fibrillation. Increasing PVC frequencies are an important predictor of incident heart failure. While conventional wisdom dictates that common environmental exposures determine PAC and PVC frequencies, this has not born out in rigorous studies. Whether PAC and PVC frequencies may have genetic underpinnings remains unknown. Comparisons between identical twins and fraternal twins can provide estimates of heritability. Fraternal twins are an ideal control because, like identical twins, they share a womb, have the same birthday, and their environment while growing up are as similar as between identical twins. However, while identical twins share approximately 100% of the same inherited DNA, fraternal twins share, on average, about 50%. By monitoring identical and fraternal twins with portable electrocardiograms (ECGs), we will be able to count the PACs and PVCs over a consecutive timespan to describe the familial aggregation of these complexes. This, to our knowledge, would be the first study to compare PAC and PVC frequencies in identical and same-sex fraternal twins, providing the first assessment of how genetical inheritance may influence cardiac ectopy burdens.

NCT ID: NCT04884100 Completed - Atrial Fibrillation Clinical Trials

enHEART - Exploring Full Content of Optical Signals to Enhance Cardiac Arrhythmia Screening

enHEART
Start date: September 15, 2021
Phase: N/A
Study type: Interventional

This research will investigate the PPG signal morphology related to physiological and non- physiological changes in arrhythmia-related heart rate as well as the performance of the PPG-based features previously developed within the framework of the Mini-Holter study to discriminate between several cardiac arrhythmias. To this end, clinical data will be recorded on patients by using a wrist-based PPG monitor simultaneously with 12-lead ECG and intracardiac electrogram (EGM) signals at the university hospital in Lausanne. Importantly, this study will remain purely observational as it will not change the diagnostic and therapeutic management of the included patients, nor will it interfere with the time course of the procedures. The aim of enHEART study is to validate on a larger database the ability of several previously developed PPG-based features to detect a variety of cardiac arrhythmias.

NCT ID: NCT04593498 Recruiting - Atrial Fibrillation Clinical Trials

Excessive Supraventricular Activity and Atrial Fibrillation

ESA-AF
Start date: November 1, 2022
Phase:
Study type: Observational

The aim of the proposed study is to determine if individuals with excessive supraventricular ectopic activity (ESVEA) on Holter recording should be subjected to prolonged screening with Event loop recorder in order to detect previously undiagnosed Atrial fibrillation / flutter. Other biomarkers such as plasma biomarkers, high-end echocardiography and assessment of blood pressure and atrial stiffness will be studied and compared in ESVEA and control group as well as progression of atrial cardiomyopathy in ESVEA patients.

NCT ID: NCT04559061 Completed - Atrial Fibrillation Clinical Trials

Vektor vMap™ Clinical Validation Study

Start date: December 1, 2020
Phase:
Study type: Observational

This is a retrospective, multi center clinical study collecting existing, de-identified subject data from medical records to be analyzed using an independent core laboratory to validate performance of a computational ECG mapping system (vMap™).