First-time Ablation of Atrial Fibrillation Registry (DIPE)

Medical University of Warsaw

Status: Enrolling

Conditions: Arrhythmia; Atrial Fibrillation

Treatments: Diagnostic Test: Blood-derived biomarker analysis; Diagnostic Test: Rotational angiography with three-dimensional reconstruction; Diagnostic Test: PPG-based remote heart rhythm/rate monitoring; Diagnostic Test: Mobile health-based spirometry; Diagnostic Test: ECG-based remote heart rhythm/rate monitoring; Diagnostic Test: Liver ultrasound examination; Diagnostic Test: Transthoracic and transesophageal echocardiography examination

Study type: Observational

Funder types: Other

Identifiers

NCT06381245

KB/265/2023

Details and patient eligibility

About

Atrial fibrillation (AF) is a prevalent cardiac arrhythmia affecting millions globally, with projections indicating a doubling of cases by 2050. AF is linked to heightened cardiovascular risks like stroke and increased healthcare costs. Ablation, targeting the arrhythmia substrate, is a method to manage AF, yet recurrence rates remain high (20-45% in the first year). Studies highlight the impact of comorbidities, AF characteristics, ablation techniques, and myocardial remodeling markers on AF progression and ablation efficacy. However, there's no definitive guidance on selecting these factors for predicting treatment success.

The aim of this study is to investigate predictors of successful AF ablation in the following areas: (a) clinical factors, (b) electrophysiological, (c) electrocardiographic, (d) ultrasound, (e) cardiac anatomy, (f) biomarkers.

Full description

AF is a multifactorial disease influenced by many possible mechanisms. This study will examine several different predictors of successful AF ablation: (a) clinical factors, (b) electrophysiological, (c) electrocardiographic, (d) ultrasound, (e) cardiac anatomy, (f) biomarkers. Analysis of these factors will help determine the optimal combination of predictors of successful ablation. This combination of prognostic factors can then be used to tailor therapeutic decisions specifically to individual patients and to improve patient selection for invasive treatment. Better patient selection and choice of ablation type can help increase success rates and avoid unnecessary procedures and their associated risks.

Enrollment: 400 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• paroxysmal or persistent AF
• first-time ablation of AF

Exclusion criteria

• patients unable to give informed consent
• serious health condition existing before ablation