Artificial Intelligence Guided Patient Selection for Atrial Fibrillation Catheter Ablation: Randomized Clinical Trial (AI-PAFA Trial)

Launched by YONSEI UNIVERSITY · Aug 9, 2021

Keywords

ClinConnect Summary

The AI-PAFA Trial is studying how well an artificial intelligence (AI) system can help doctors choose the right patients for a treatment called catheter ablation for atrial fibrillation (AF), a heart condition that can lead to serious problems like strokes and heart failure. This study aims to compare the outcomes of patients selected by AI with those chosen based on standard medical guidelines. Researchers hope to see if using AI can improve the long-term success of the treatment and reduce the chances of AF coming back.

To participate in the trial, patients need to meet certain criteria. They should have a left atrium size of less than 55 mm and have experienced AF even while taking antiarrhythmic medications, or they should not tolerate these medications. Participants must also be eligible for blood-thinning medications to prevent blood clots. The trial is currently recruiting and welcomes all genders. Those interested can expect to receive careful monitoring and follow-up to understand how well the treatment works for them. It's important to note that patients with certain serious health issues or those who cannot participate in the study for other reasons will not be eligible.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • 1. Left atrium size \< 55 mm
• • 2. AF recurred during the administration of antiarrhythmic drugs or that antiarrhythmic drugs intolerable patients
• • 3. Patients eligible for anticoagulant therapy (to prevent thromboembolic events)
• Exclusion Criteria:
• • 1. AF associated with severe cardiac anomalies or structural heart disease with hemodynamic influence
• • 2. Patients who have difficulty in CT imaging using a contrast medium
• • 3. Patients with active internal bleeding
• • 4. Inappropriate anticoagulant therapy
• • 5. Serious comorbidities
• • 6. Patients expected to survive less than 1 year
• • 7. People with drug or alcohol addiction
• • 8. Those who cannot read the consent form (illiterate, foreigners, etc.)
• • 9. Patients who are judged unsuitable for participation in clinical research by the judgment of other investigators