Non-Invasive Assessment of Complexity of Atrial Fibrillation: Correlation with Contact Mapping and Impact of Ablation

Author:

Rodrigo Miguel1,Climent Andreu M.2,Hernández-Romero Ismael3,Liberos Alejandro4,Baykaner Tina5,Rogers Albert J.5,Alhusseini Mahmood5,Wang Paul J.5,Fernández-Avilés Francisco6,Guillem Maria S.7,Narayan Sanjiv M.5,Atienza Felipe6

Affiliation:

1. ITACA Institute, Universitat Politècnica de València, Valencia & Cardiology Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigacion Sanitaria Gregorio Marañón (IISGM), Madrid, Spain & Stanford University School of Medicine, Stanford, CA

2. ITACA Institute, Universitat Politècnica de València, Valencia & Cardiology Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigacion Sanitaria Gregorio Marañón (IISGM) & CIBERCV, Centro de Investigacion Biomedica en Red de Enfermedades Cardiovasculares, Madrid, Spain

3. Cardiology Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigacion Sanitaria Gregorio Marañóon (IISGM) & Department of Signal Theory and Communications, Rey Juan Carlos University, Madrid, Spain

4. ITACA Institute, Universitat Politècnica de València, Valencia & Cardiology Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigacion Sanitaria Gregorio Marañón (IISGM), Madrid, Spain

5. Stanford University School of Medicine, Stanford, CA

6. Cardiology Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigacion Sanitaria Gregorio Marañón (IISGM) & CIBERCV, Centro de Investigacion Biomedica en Red de Enfermedades Cardiovasculares & Facultad de Medicina, Universidad Complutense, Madrid, Spain

7. ITACA Institute, Universitat Politècnica de València, Valencia, Spain

Abstract

Background - It is difficult to non-invasively phenotype atrial fibrillation (AF) in a way that reflects clinical endpoints such as response to therapy. We set out to map electrical patterns of disorganization and regions of reentrant activity in AF from the body surface using electrocardiographic imaging (ECGI), calibrated to panoramic intracardiac recordings and referenced to AF termination by ablation. Methods - Bi-atrial intracardiac electrograms of 47 AF patients at ablation (30 persistent, 29 male, 63±9 years) were recorded with 64-pole basket catheters and simultaneous 57-lead body surface ECGs. Atrial epicardial electrical activity was reconstructed and organized sites were invasively and non-invasively tracked in 3D using phase singularity (PS). In a subset of 17 patients, sites of AF organization were targeted for ablation. Results - Body surface mapping showed greater AF organization near intracardially-detected drivers than elsewhere, both in PS density (2.3±2.1 vs 1.9±1.6, p=0.02) and number of drivers (3.2±2.3 vs 2.7±1.7, p=0.02). Complexity, defined as the number of stable AF reentrant sites, was concordant between non-invasive and invasive methods (r 2 =0.5, CC=0.71). In the subset receiving targeted ablation, AF complexity showed lower values in those in whom AF terminated than those in whom AF did not terminate (p<0.01). Conclusions - AF complexity tracked non-invasively correlates well with organized and disorganized regions detected by panoramic intracardiac mapping, and correlates with the acute outcome by ablation. This approach may assist in bedside monitoring of therapy or in improving the efficacy of ongoing ablation procedures.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

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