View clinical trials related to Atrial Fibrillation.
Filter by:Atrial fibrillation (AF) is a major public health problem: it impairs quality of life and independently heightens the risks of ischemic stroke, heart failure and all-cause mortality. AF is a common reason for presenting to emergency departments (ED) in Kaiser Permanente Northern California (KPNC) and is associated with frequent hospitalization. Additionally, inter-facility hospitalization rates for AF vary across KPNC. Improvements in modifiable components of ED AF care could potentially reduce low-yield hospitalizations and the associated costs, patient inconveniences, and complications that can ensue. Real-time clinical decision support systems (CDSS) can transform entrenched physician practices and improve patient outcomes. The investigators will conduct a stepped-wedge cluster randomized trial of a CDSS intervention across 13 KPNC EDs for the comprehensive management of acute AF with the following three aims: 1) To evaluate the impact of the CDSS intervention on index hospitalization rates; 2) To evaluate the impact of the CDSS intervention on ED AF rate and rhythm control process-of-care metrics; and 3) To evaluate the impact of the CDSS intervention on AF stroke prevention actions for eligible participants at the time of ED discharge. The investigators hypothesize that the CDSS intervention will safely reduce index hospitalization rates, improve rate and rhythm control process-of-care metrics, and increase stroke prevention actions for eligible participants at ED discharge and within 30 days.
A small pilot study comparing different blood thinners (non-vitamin K oral anticoagulants [NOACs] and warfarin) will be conducted in people at risk for blood clots after open-heart surgery. This study will help us design a much bigger study to test the effectiveness and safety of different blood thinners in people after open-heart surgery. The study will test the following hypotheses: (1) Our standardized use of different blood thinners is feasible in patients early after cardiac surgery. (2) NOACs are safe to use early after cardiac surgery.
Although the heart rhythm disorder Atrial Fibrillation (AF) affects 2% of the population, the impact it has on an effected individual can be highly variable. Some people are asymptomatic whilst others can experience debilitating symptoms or heart failure (HF)- weakness of the heart muscle. The reason why this variability exists in unknown and how AF actually drives HF is unclear. HF can also be caused by many other reasons and it can be difficult to identify those patients with HF caused by AF versus patients with AF but their HF is due to a different reason. This is important as it would help us to identify those patients most likely to improve their heart function after the treatment of AF and thus gain more from invasive treatments like AF catheter ablation; which is effective at restoring normal heart rhythm but has some risks attached. The investigators suspect the characteristics of the AF, such as how irregularly it makes the heartbeat, can be used to predict who will respond better. Studies of heart cells in the lab as well as animal models have suggested this characteristic may be the cause of AF-induced heart muscle weakness and reduce cardiac output, making it a potential predictor that can be measured. Other potential predictors will be measured during pre-procedural scans and tests too. The investigators will also explore whether there are predictors of which patients gain the most symptomatic benefit and gain insight into why some people develop symptoms of AF, whereas others do not. By studying the structural and functional sequelae of catheter ablation in patients with HF the investigators hope to better understand the relationship between the two diseases.
The purpose of this observational registry is to report real-world safety and performance of VeriSight for ultrasound guided ICE imaging in percutaneous cardiac intervention procedures when used in standard clinical practice.
This study aims to assess the incidence of atrial fibrillation (AF), documented using data recorded by an implantable Holter monitoring device (Reveal Linq, Medtronic) within 2 years after percutaneous closure of patent foramen ovale for cryptogenic stroke.
The objective of this study is to establish a near-real-time prospective monitoring program in Medicare, Optum and MarketScan Research data to evaluate the benefit of new cardiovascular disease (CVD) drugs for older adults with frailty. Prospective monitoring program seeks to find early effectiveness and safety signals of new drugs by updating the analysis at regular intervals as new Medicare data become available. This study specifically aims to emulate a prospective surveillance of the effectiveness and safety of non-vitamin K oral anticoagulants (NOAC) vs. a comparator, warfarin, in older adults with atrial fibrillation and different frailty status. This program will be enhanced by incorporating a novel claims-based frailty index, which has been shown useful in assessing how the benefits and harms of drug therapy vary by frailty.
The main aim of the study is to investigate the prevalence and characteristics of ischemic stroke patients with atrial fibrillation and concurrent carotid atherosclerosis. Additionally, this study will investigate the effect of concurrent carotid atherosclerosis on the outcomes of recurrent stroke, myocardial infarction and death during follow-up
The objective of this study is to demonstrate safety and effectiveness using a percutaneous Delivery System of the Laminar Left Atrial Appendage Closure System to treat patients with NVAF to reduce the risk of thromboembolism from the left atrial appendage (LAA).
The trajectory of atrial fibrillation (AF) patients within the national health system and their recent temporal trends remains to be fully elucidated. To study the AF incidence, mortality and case-fatality, the investigators implemented a longitudinal cohort study with the linked electronic health records of 5.6 million population in the UK from 1998 to 2016 (CALIBER). A matched case-control study design was used to investigate the causes of hospitalization and death comparing individuals with and without incident AF.
This is a retrospective observational study drawing on data from the Brigham and Women's Home Hospital database. Sociodemographic and clinic data from a training cohort were used to train a machine learning algorithm to predict length of stay throughout a patient's admission. This algorithm was then validated in a validation cohort.