- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03937089
Analysis of Endocavitary Electrical Signal and Surface Electrocardiogram to Predict Ablation Outcome in Persistent Atrial Fibrillation (ASEPAF)
Analysis of the Endocavitary Electrical Signal and Surface Electrocardiogram to Determine Relevant Features for an Accurate Prediction of Ablation Outcome for Patients in Persistent Atrial Fibrillation
Background :
Despite recent progress in the management of patients with Atrial Fibrillation (AF), AF remains one of the main risk factor of stroke, heart failure and cardiovascular mortality in the world. AF is the most common cardiac arrhythmia, and its prevalence is expected to grow in the coming years.
Catheter ablation (CA) of AF can be successful in restoring and maintaining Sinus rhythm (SR) in patients with paroxysmal, and persistent AF. Haissaguerre et al. have shown that AF ablation of the heart by isolating the Pulmonary Vein is usually sufficient. However, when ablating persistent AF patients ablating pathological regions in the atria is also required. CA is still a challenging procedure, and reported success rate for persistent AF patients remains relatively low (around 60%). This procedure is associated with risks inherent to any invasive cardiac procedures.
A better identification of good responders would reduce the risks associated with ablation, especially for patients with low odds of favorable outcome, while also increasing the success rate of the procedure. It has been shown in the literature the long-term CA outcome can be predicted non-invasively by atrial fibrillatory wave (f-wave) amplitudes.
Hypothesis :
We assume that a morphological analysis of the f-waves on standard twelve ECG will allow for a better CA outcome prediction.
Objectives :
The aim of this study is to automatically analyse the morphology of the ECG signal before a CA procedure, extract relevant features for an accurate prediction of long-term CA outcome for patients in persistent AF.
Study Overview
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Vandœuvre-lès-Nancy, France, 54500
- CHRU Nancy
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients for which clinical data, along with the ECG signals before and during the CA procedure are available,
- Patients who underwent a first ablation procedure for persistent AF
Exclusion Criteria:
- ECG data is not interpretable
- Patients who underwent a second or umpteenth ablation procedure for persistent AF
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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Patients
Patients with persistent AF, who underwent a CA procedure in the Nancy hospital between January 2011 and April 2017, will be included in this retrospective study.
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Data collection from medical file
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
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Analysis of the f-waves on ECG
Time Frame: Through study completion, an average of 6 months
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Through study completion, an average of 6 months
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Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- PSS2018/ASEPAF-SELLAL/YB
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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