View clinical trials related to Atrial Fibrillation.
Filter by:Catheter ablation of atrial fibrillation (AF) or left atrial tachycardia (GAD) is usually performed in patients treated with vitamin K antagonists (VKAs) or direct oral anticoagulants (DOACs) that are increasingly used. In some cases, patients need to have an unfractionated heparin relay (UFH) for the procedure. There are no recommendations for adjusting UFH doses during an AOD/UFH relay. DOACs interfere with the biological assay of UFH which poses a problem of adaptation of UFH doses in pre- and intra-procedure. The aim of the study is to evaluate the interference of residual DOAC on the measurement of anticoagulant activity of UFH in pre- and intra-procedure of AF ablation or GAD.
The goal of this observational cohort study is to investigate the potential of fitness trackers in combination with machine learning algorithms to identify cardiovascular disease specific patterns. Two hundred participants will be enrolled: 1. 50 with heart failure 2. 50 with atrial fibrillation 3. 100 (healthy) individuals without the former two conditions All participants are given a Fitbit device and monitored for three months. Researchers will compare differences in heart rate variability patterns between the groups and devise a machine learning algorithm to detect these patterns automatically.
This study aims to analyze the safety and effectiveness of the discontinuation/resumption protocol of factor Xa inhibitors before and after invasive procedures/surgeries in non-valvular atrial fibrillation patients who are at risk of minor bleeding in actual clinical settings
Atrial Fibrillation (AF) is an abnormal heart rhythm. Because AF is often asymptomatic, it often remains undiagnosed in the early stages. Anticoagulant therapy greatly reduces the risks of stroke in patients diagnosed with AF. However, diagnosis of AF requires long-term ambulatory monitoring procedures that are burdensome and/or expensive. Smart devices (such as Apple or Fitbit) use light sensors (called "photoplethysmography" or PPG) and motion sensors (called "accelerometers") to continuously record biometric data, including heart rhythm. Smart devices are already widely adopted. This study seeks to validate an investigational machine-learning software (also called "algorithms") for the long-term monitoring and detection of abnormal cardiac rhythms using biometric data collected from consumer smart devices. The research team aims to enroll 500 subjects who are being followed after a stroke event of uncertain cause at the Emory Stroke Center. Subjects will undergo standard long-term cardiac monitoring (ECG), using FDA-approved wearable devices fitted with skin electrodes or implantable continuous recorders, and backed by FDA-approved software for abnormal rhythm detection. Patients will wear a study-provided consumer wrist device at home, for the 30 days of ECG monitoring, 23 hours a day. At the end of the 30 days, the device data will be uploaded to a secure cloud server and will be analyzed offline using proprietary software (called "algorithms") and artificial intelligence strategies. Detection of AF events using the investigational algorithms will be compared to the results from the standard monitoring to assess their reliability. Attention will be paid to recorded motion artifacts that can affect the quality and reliability of recorded signals. The ultimate aim is to establish that smart devices can potentially be used for monitoring purposes when used with specialized algorithms. Smart devices could offer an affordable alternative to standard-of-care cardiac monitoring.
Secretoneurin (SN) is a neuropeptide from the chromogranin family that influences intracellular calcium handling. SN suppresses calcium leakage from the sarcoplasmic reticulum through the ryanodine receptor. SN is a novel biomarker that has shown the potential to predict adverse arrhythmic events.
This is a multicenter, randomized controlled trial to compare the recurrence of 1-year atrial arrhythmia after catheter ablation of atrial fibrillation (AF) between pulmonary vein isolation (PVI) and PVI with additional left atrial (LA) substrate modification based on the left atrial low-voltage area (LA LVA) in patients with persistent AF who had a moderate burden of LVA in LA (1cm2 to <30%).
The goal of this clinical trial is to evaluate the effect of catheter ablation of persistent atrial fibrillation on cognitive function in patients with mild cognitive impairment. Participants will be randomized into antiarrhythmic drugs alone or atrial fibrillation ablation + antiarrhythmic drugs.
Patients with cancer have a higher incidence of AF but despite the higher incidence of AF in the cancer population, there are no randomized controlled trials (RCTs) for AF screening in this population. RCTs of AF screening in the general population have shown that screening can effectively detect AF earlier, and helps to identify candidates for appropriate anticoagulation that may lead to improvement in clinical outcomes.
This study aims to identify how many patients who have atrial fibrillation, also have sleep apnoea. This is important because sleep apnoea can be a trigger to atrial fibrillation and it can be corrected with a simple intervention. Therefore it is important to understand its prevalence (how many patients with atrial fibrillation are affected by it). Also, obesity and sleep disorders are often associated, therefore the evolution of atrial fibrillation is studied in patients who also have obesity and have lost weight compared with patients who did not loose any weight or are not obese. As medications or therapy are not changed, this is an observational study.
To test the hypothesis that structural changes documented by ICE after pulmonary vein deconnection by RF can predict AF recurrences