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First-time Ablation of Atrial Fibrillation Registry

First-time Ablation of Atrial Fibrillation Registry

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06381245
Acronym
DIPE
Enrollment
340
Registered
2024-04-24
Start date
2023-12-01
Completion date
2026-04-30
Last updated
2026-06-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Arrhythmia, Atrial Fibrillation

Keywords

Atrial fibrillation, Arrhythmia, Pulsed field ablation, Radiofrequency ablation, Catheter ablation, Prediction, Detection, Mobile Health, Telemedicine

Brief summary

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.

Detailed 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.

Interventions

DIAGNOSTIC_TESTPPG-based remote heart rhythm/rate monitoring

PPG-based remote heart rhythm/rate monitoring

DIAGNOSTIC_TESTECG-based remote heart rhythm/rate monitoring

ECG-based remote heart rhythm/rate monitoring

DIAGNOSTIC_TESTTransthoracic and transesophageal echocardiography examination

Transthoracic and transesophageal echocardiography examination

DIAGNOSTIC_TESTLiver ultrasound examination

Liver ultrasound examination

DIAGNOSTIC_TESTRotational angiography with three-dimensional reconstruction

Rotational angiography with three-dimensional reconstruction

DIAGNOSTIC_TESTBlood-derived biomarker analysis

Blood-derived biomarker analysis

DIAGNOSTIC_TESTMobile health-based spirometry

Mobile health-based spirometry

Sponsors

Medical University of Warsaw
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum

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

Design outcomes

Primary

MeasureTime frameDescription
Late AF recurrence3-12 months after ablationLate AF recurrence

Secondary

MeasureTime frameDescription
Late recurrence of AF or atrial tachycardia or atrial flutter3-12 months after ablationLate recurrence of AF or atrial tachycardia or atrial flutter
Early recurrence of AF<3 months after ablationEarly recurrence of AF
Early recurrence of AF or atrial tachycardia or atrial flutter<3 months after ablationEarly recurrence of AF or atrial tachycardia or atrial flutter
Time to AF recurrence and the impact of early recurrence on late AF recurrence<3 and 3-12 months after ablationTime to AF recurrence and the impact of early recurrence on late AF recurrence
The superiority of monitoring using mobile health devices over traditional heart rhythm monitoring3 months after ablationThe superiority of monitoring using mobile health devices over traditional heart rhythm monitoring
Progression or regression of AF3-12 months after ablationProgression of AF (from paroxysmal to persistent or persistent to permanent) or regression of AF (from persistent to paroxysmal)
Modification of treatment, including antiarrhythmic treatment3-12 months after ablationModification of treatment, including antiarrhythmic treatment
AF-related quality of life and symptomsBefore, 3 and 12 months after ablationAF-related quality of life and symptoms
Periprocedural complicationsAround ablationPeriprocedural complications (e.g. cardiac tamponade, vascular complications, pseudoaneurysm, arteriovenous fistula, stroke, transient ischemic attack)
Heart rate variability and rate<3 months after ablationHeart rate variability and rate
Blood biomarker levelsBefore, 3 and 12 months after ablationBlood biomarker levels
Ablation procedure parametersAt ablationAblation procedure parameters (e.g. ablation time, procedure time, number of applications, amount of painkillers used)
Cardiac remodellingBefore, 3 and 12 months after ablationCardiac remodelling based on transthoracic and transesophageal echocardiography parameters

Countries

Poland

Contacts

PRINCIPAL_INVESTIGATORMonika Gawałko, MD, PhD

1st Department of Cardiology, Medical University of Warsaw

PRINCIPAL_INVESTIGATORPaweł Balsam, MD, PhD

1st Department of Cardiology, Medical University of Warsaw

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 24, 2026