NCT03937089

Brief Summary

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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
300

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started May 2018

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

May 24, 2018

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2018

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2018

Completed
3 months until next milestone

First Submitted

Initial submission to the registry

April 8, 2019

Completed
25 days until next milestone

First Posted

Study publicly available on registry

May 3, 2019

Completed
Last Updated

May 3, 2019

Status Verified

October 1, 2018

Enrollment Period

7 months

First QC Date

April 8, 2019

Last Update Submit

May 2, 2019

Conditions

Outcome Measures

Primary Outcomes (1)

  • Analysis of the f-waves on ECG

    Through study completion, an average of 6 months

Study Arms (1)

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.

Other: Data collection

Interventions

Data collection from medical file

Patients

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

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.

You may qualify if:

  • 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

You may not qualify if:

  • ECG data is not interpretable
  • Patients who underwent a second or umpteenth ablation procedure for persistent AF

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

CHRU Nancy

Vandœuvre-lès-Nancy, 54500, France

Location

MeSH Terms

Conditions

Atrial Fibrillation

Interventions

Data Collection

Condition Hierarchy (Ancestors)

Arrhythmias, CardiacHeart DiseasesCardiovascular DiseasesPathologic ProcessesPathological Conditions, Signs and Symptoms

Intervention Hierarchy (Ancestors)

Epidemiologic MethodsInvestigative TechniquesHealth Care Evaluation MechanismsQuality of Health CareHealth Care Quality, Access, and EvaluationPublic HealthEnvironment and Public Health

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

April 8, 2019

First Posted

May 3, 2019

Study Start

May 24, 2018

Primary Completion

December 31, 2018

Study Completion

December 31, 2018

Last Updated

May 3, 2019

Record last verified: 2018-10

Locations