Identifying metabolic markers for preventing atrial fibrillation
Official title: Identification of the Metabolic Signature of Atrial Fibrillation for Personalized Prevention
Run by University Hospital, Bordeaux · NCT06735001 · Data updated 2026-11-12
This study is trying to find specific metabolic markers in patients having heart surgery to see if they can help predict and prevent the return of atrial fibrillation.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 400 (estimated) |
| Sponsor | University Hospital, Bordeaux Academic / other |
| Locations | 1 site (Pessac) |
| Status | Recruiting |
| Started | March 10, 2025 |
| Main results expected | October 2029 |
| Study ends | October 2029 |
| Registry record updated | June 9, 2026 |
| Trial ID | NCT06735001 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are adults aged 18 and older who are scheduled for cardiac ablation due to atrial fibrillation.
✕Probably not a fit
Patients under 18, those with active tumors, or individuals with certain chronic diseases may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study aims to identify metabolic and biomolecular signatures associated with atrial fibrillation (AF) in patients scheduled for cardiac ablation. By monitoring these signatures over a 12-month period, the research seeks to develop a method for assessing the risk of AF recurrence. The approach combines traditional risk factors with metabolic biomarkers using machine learning techniques to enhance personalized prevention strategies. The ultimate goal is to improve outcomes for patients at risk of AF by providing tailored interventions.
Why it matters
Potential benefit: If successful, this study could lead to personalized prevention strategies that significantly reduce the recurrence and progression of atrial fibrillation.
How similar studies have gone: While the approach of identifying metabolic signatures is innovative, similar studies have shown promise in other cardiovascular conditions, indicating potential for success.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age ≥ 18 years, all genders, and ethnic origins * Free, informed, and written consent signed * Person affiliated to or benefiting from a social security scheme Exclusion Criteria: * Age \< 18 years * Lack of informed consent * Gestating women (pregnancy test carried out as part of care for FA patients, contraception, or menopause for women in control groups) * Persons under administrative or judicial protection * Endocarditis or pericarditis in progress or within the 3 last months * Active tumor pathology (benign or malignant) * Chronic inflammation or autoimmune disease * Chronic liver disease * Myocardial infarction within the last 8 weeks
Where it's running
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University Hospital of Bordeaux
Pessac, France Recruiting
Study contacts
- Principal investigator: Nicolas DERVAL — University Hospital, Bordeaux
- Study coordinator: Guido CALUORI
- Email: guido.caluori@ihu-liryc.fr
- Phone: +33 5 35 38 19 58
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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Pulsed Field vs Cryoballoon for Pulmonary Vein Isolation in Atrial Fibrillation
This trial tests whether pulsed field ablation can shorten the procedure for first-time PVI in AF patients compared with cryoballoon ablation, while keeping safety and effectiveness similar.
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Pulsed Field Ablation vs Cryoablation for Atrial Fibrillation Under Deep Sedation
This trial tests whether pulsed field ablation (PFA) done under deep sedation works as well as cryoballoon ablation for treating atrial fibrillation, aiming to avoid general anesthesia.
-
Bachmann’s Bundle Pacing vs Right Atrial Appendage Pacing for AF
This study tests two common atrial pacing methods to see which one is safer over 12 months for people getting a new pacemaker, ICD, or CRT device.
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AI-powered ECG to help diagnose and predict outcomes in heart disease
Researchers test an AI-enhanced ECG to help diagnose and predict outcomes for people with cardiovascular diseases.
-
Pace-and-ablate strategy in atrial fibrillation: who benefits and long-term outcomes
This study looks at adults with atrial fibrillation who underwent AV node ablation with permanent pacing to see who develops pacing-induced problems and how they do long-term.
-
AI-based cardiac analysis using 12-lead and 1-lead ECG
A clinician-facing pilot test to see if SmartECG-EF helps evaluate heart function using both 12-lead and single-lead ECGs in adults with heart conditions.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.