View clinical trials related to Atrial Fibrillation.
Filter by:The goal of this study is to determine the effectiveness of a direct-to-patient virtual education program ("AF at Home") for adults with atrial fibrillation (AF). The main questions this study aims to answer are: 1. Will participants in the educational program have improvement in quality of life, self-monitoring, and self-management strategies after program completion? 2. Will patient level quality of AF care improve for participants in the educational program? Participants will be asked to: - Participate in six hours of virtual education sessions over three weeks via Zoom. - Complete online questionnaires before the program starts and after its completion.
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.
The goal of this randomized trial is to compare the diagnostic yield of a screen-like early diagnosis strategy to usual primary care to detect coronary artery disease (CAD), atrial fibrillation (AF), heart failure (HF), and/or valvular heart disease (VHD) in community people aged 50-80 years who participate in the Utrecht Health Project. The diagnosis strategy consists of a questionnaire with questions related to symptoms suggestive of CAD, AF or HF, a focused physical examination, laboratory testing, electrocardiography, and echocardiography.
The purpose of this study is to predict the occurrence of paroxysmal atrial fibrillation by finding high-risk group from normal sinus rhythm ECG through artificial intelligence-based prediction algorithm.
This is a Randomized Controlled trial to evaluate if continuous heart rate and -rhythm monitoring with a photoplethysmography (PPG) smartwatch wearable (Apple Watch series 5) can detect atrial fibrillation at an early stage in cardiac patients with a known high risk of developing AF (ChadsVasc score ≥ 2 men; ≥3 women; age ≥ 65). In this monocenter, single arm, prospective randomized controlled trial the investigators will enroll 306 patients (153 per arm). An absolute in between-group difference of 8.5% in diagnosing patients with new AF in favor of the interventional group during a six month study period is hypothesized.
This is a two-center, randomized controlled trial of 100 patients comparing intervention (KardiaMobile) with standard of care. Kardia Mobile is an FDA approved device that allows one- or six lead ECG recording for 30 seconds using the patient's smart phone. The device has a automated algorithm that interprets the ECG as either sinus rhythm, AF, or unclassified. The intervention arm will be given a KardiaMobile device, free of charge, to be synched to their smartphone at the time of enrollment. They will be instructed on proper device procedure and will use the device with the onset of potential AF-related symptoms (e.g. chest pressure, palpitations, lightheadedness, syncope, shortness of breath, or other symptoms concerning for a cardiac etiology) or when requested to do so by their healthcare provider. The device ECG recordings will be transmitted to participants physicians through MyChart who will incorporate this information into the patient's treatment as indicated. All files will be stored on a private, secure platform and any subsequent communication from the clinical team will occur via standard clinical channels (MyChart or telephone contact). Healthcare utilization will be assessed by having the participants in both groups complete a questionnaire asking how many times they used their KardiaMobile device (if randomized to this group) and how many office appointments, emergency department visits, and hospital admissions they had within that six-month period.
Atrial fibrillation (AF) is the most common arrhythmia in the world, with significant morbidity and mortality. With appropriate oral anticoagulation, the risk of stroke due to atrial fibrillation decreases by 64%. Although atrial fibrillation is commonly diagnosed and treated in the Emergency Department (ED), oral anticoagulation is significantly underprescribed. Underprescribing has been attributed to a lack of empowerment and deferral of prescribing to longitudinal care clinicians. Using a convergent parallel quantitative-qualitative design (mixed-methods), we propose a stepped-wedge cluster randomized trial design with the implementation of a clinical decision support (CDS) tool in adults with new-onset AF that are OAC-naïve and at significant risk for stroke. In parallel, we will use qualitative approaches to evaluate clinician facilitators and barriers to tool utilization as well as patient satisfaction and engagement with the tool.
The transcatheter edge to edge mitral valve repair (TEER) and left atrial appendage closure (LAAC) are the interventional cardiology procedures that require periprocedural anticoagulation with unfractionated heparin (UFH). The UFH is administered either before or immediately after transseptal puncture, at the discretion of the operator The aim of the study is to establish the optimal timing of initiation of periprocedural anticoagulation in patients undergoing structural heart interventions requiring transseptal puncture (TEER and LAAC), Patients who undergo TEER implantation or LAAC procedure will be randomized to two groups: 1. Early UFH administration. The iv. bolus of UFH (100Units/kg) will be given after obtained femoral vein access and at least 5 minutes prior to the start of the TSP. 2. Late UFH administration. The iv. bolus of UFH (100Units/kg) will be given immediately after TSP, defined as the introduction of transseptal sheath into the left atrium.
Six million Americans live with atrial fibrillation (AF), a heart rhythm abnormality that is a major risk factor for stroke and only half of those AF patients receive oral anticoagulation (AC). Within the context of an ongoing collaboration between two large learning health systems, the investigators propose to study the impact of a shared clinical decision support tool embedded within the electronic health record designed to enhance guideline-based AC prescription. The hypothesis the investigators are testing is that the number of AC starts in patients seen by intervention providers will be higher than in patients seen by control providers. Additionally, the investigators are testing the hypothesis that the risk of not persisting on AC will be higher in the patients of control providers compared with patients of intervention providers.
This is a global retrospective and prospective, multicenter, observational patient registry to record outcomes from patients undergoing ablations for the treatment of Atrial Fibrillation.