Medical University of Warsaw
Warsaw, Poland
NCT Number: NCT06381245
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.
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Notify Me18 year and older
All sexes
Observational
Warsaw, Poland
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.
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
PPG-based remote heart rhythm/rate monitoring
ECG-based remote heart rhythm/rate monitoring
Transthoracic and transesophageal echocardiography examination
Liver ultrasound examination
Rotational angiography with three-dimensional reconstruction
Blood-derived biomarker analysis
Mobile health-based spirometry
Time frame: 3-12 months after ablation
Late AF recurrence
Time frame: 3-12 months after ablation
Late recurrence of AF or atrial tachycardia or atrial flutter
Time frame: <3 months after ablation
Early recurrence of AF
Time frame: <3 months after ablation
Early recurrence of AF or atrial tachycardia or atrial flutter
Time frame: <3 and 3-12 months after ablation
Time to AF recurrence and the impact of early recurrence on late AF recurrence
Time frame: 3 months after ablation
The superiority of monitoring using mobile health devices over traditional heart rhythm monitoring
Time frame: 3-12 months after ablation
Progression of AF (from paroxysmal to persistent or persistent to permanent) or regression of AF (from persistent to paroxysmal)
Time frame: 3-12 months after ablation
Modification of treatment, including antiarrhythmic treatment
Time frame: Before, 3 and 12 months after ablation
AF-related quality of life and symptoms
Time frame: Around ablation
Periprocedural complications (e.g. cardiac tamponade, vascular complications, pseudoaneurysm, arteriovenous fistula, stroke, transient ischemic attack)
Time frame: <3 months after ablation
Heart rate variability and rate
Time frame: Before, 3 and 12 months after ablation
Blood biomarker levels
Time frame: At ablation
Ablation procedure parameters (e.g. ablation time, procedure time, number of applications, amount of painkillers used)
Time frame: Before, 3 and 12 months after ablation
Cardiac remodelling based on transthoracic and transesophageal echocardiography parameters
Medical University of Warsaw
Other
Acronym: DIPE
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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