Active clinical trials for "Atrial Fibrillation"

Atrial fibrillation (AF) is a common and serious complication after lung resection. The incidence is likely underestimated, and risk may persist after leaving hospital. Recent development of simple wearable patch ECG devices may provide sensitive detection of AF in the extended postoperative period. Specific biomarkers may allow us to predict which patients are at risk of developing postoperative AF.

The purpose of this study is to retrospectively analyze electroanatomical data collected during persistent atrial fibrillation ablation procedures, combined with pre-ablation cardiac CT data, in order to: define a new method for quantifying left atrial voltage in atrial fibrillation via a total energy map instead of a peak-to-peak amplitude map confirm the association between epicardial fat localization and atrial conduction slowing

This study investigates diagnostic performance of a ring-type wearable device for detecting atrial fibrillation. This is a prospective cohort registry study began after the date of IRB approval and until 31th Dec. 2019. The eligible criteria are (1) those who admitted the institution for elective direct-current cardioversion of persistent atrial fibrillation, and (2) aged 19 years or more. The exclusion criteria are (1) those aged less than 19 years, (2) those who are not eligible to perform cardioversion by any reasons. This study aims to recruit 200 participants in total. The participants are required to record photoplethysmographic signals by the ring device in addition to routine procedures of direct-current cardioversion, hence, the study is at minimal risk.

Catheter ablation using radiofrequency is a new therapeutic tool to treat atrial fibrillation with a higher success rate than medical therapy (80% versus less than 50% respectively). Because of the length of the intervention and of the risk of complications of the procedure, it would be important to determine success rate before the intervention. The information gained from this study will in all probability improve our estimation of the chances of a successful intervention and may enable us to take necessary therapeutic measures in case of an elevated risk of recurrence. Multiple studies suggest that the 2 markers in this study could provide information of this nature, however, their utility in the radiofrequency catheter ablation treatment of atrial fibrillation has never been demonstrated.

This study investigates diagnostic performance of a ring-type wearable device for detecting atrial fibrillation. This is a prospective cohort registry study began after the date of IRB approval and until 31th Dec. 2023. The eligible criteria are (1) those who admitted the institution for elective direct-current cardioversion or catheter ablation of persistent atrial fibrillation, (2) those who were successfully converted to sinus rhythm after the intervention, and (3) aged 19 years or more. The exclusion criteria are (1) those aged less than 19 years, (2) those who are not converted to sinus rhythm after the intervention, and (3) those who are not eligible to measure photoplethysmographic signals. This study aims to recruit 100 participants in total. The participants are required to record photoplethysmographic signals by the ring device in addition to routine procedures of direct-current cardioversion or catheter ablation, hence, the study is at minimal risk.

Atrial fibrillation is a clinically significant cardiac arrhythmia that increases the risk of stroke by 3 to 4 times. Oral anticoagulation has been shown to mitigate stroke risk by two-thirds among patients with AF and is widely recommended in optimizing AF management.Direct oral anticoagulants have also been demonstrated to be superior to warfarin with respect to the risk of fatal bleeding and stroke prevention. However, the previous study finding highlighted a great gap between current guidelines and the clinical management of AF .Nonetheless, the decision for anticoagulant use is not straightforward.It is worth to investigate the updated prevalence of anticoagulant use, the reasons for not receiving anticoagulant, and the factors independently associated with anticoagulant refusal in patients with non-valvular atrial fibrillation.

BACKGROUND AND RATIONALE: There is very limited literature available on the arrhythmia occurrence in the context of an infection by the SARS-CoV2 virus. On the other hand, treatment strategies against the SARS-CoV2 virus may carry a risk of QTc prolongation and pro-arrhythmia/sudden death which may be amplified by concomitant use of other QTc-prolonging drugs and/or ion disbalances. COVIDAR is an international initiative to monitor the occurrence of arrhythmic events in the context of the SARS-CoV2 infection, to identify potential modifiable predisposing factors to reduce their incidence and to inform the best arrhythmia management options in this patient population. MAIN OBJECTIVE: To describe the incidence and type of arrhythmic events in the context of the SARS-CoV2 infection. STUDY DESIGN: patient registry (observational). Patients will not undergo any additional investigations. Only data that is generated during routine clinical care will be collected. STUDY POPULATION: Patients admitted to the hospital highly suspected of or with confirmed COVID-19.

The purpose of this study is to perform ultra-high density mapping of the left atrium (a chamber of the heart) using the the Rhythmia Mapping System and to determine whether additional ablation in areas of wavefront discontinuities identified by the map will reduce the likelihood of both atrial fibrillation and atrial flutter.

The aim of the study is to assess the prevalence of left atrial thrombus in patients with atrial fibrillation (AF) or atrial flutter (AFI), in whom transesophageal echocardiography is performed before AF/AFl cardioversion or ablation.

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.