Miguel Rodrigo1,2,3, Andreu M Climent1,2,4, Ismael Hernández-Romero2,5, Alejandro Liberos1,2, Tina Baykaner3, Albert J Rogers3, Mahmood Alhusseini3, Paul J Wang3, Francisco Fernández-Avilés2,4,6, Maria S Guillem1, Sanjiv M Narayan3, Felipe Atienza2,4,6. 1. ITACA Institute, Universitat Politècnica de València (M.R., A.M.C., A.L., M.S.G.). 2. Cardiology Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigacion Sanitaria Gregorio Marañon (IISGM) (M.R., A.M.C., I.H.-R., A.L., F.F.-A., F.A.), Madrid, Spain. 3. Cardiac Electrophysiology and Arrhythmia Service, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (M.R., T.B., A.J.R., M.A., P.J.W., S.M.N.). 4. CIBERCV, Centro de Investigacion Biomedica en Red de Enfermedades Cardiovasculares (A.M.C., F.F.-A., F.A.), Madrid, Spain. 5. Department of Signal Theory and Communications, Rey Juan Carlos University (I.H.-R.), Madrid, Spain. 6. Facultad de Medicina, Universidad Complutense (F.F.-A., F.A.), Madrid, Spain.
Abstract
BACKGROUND: It is difficult to noninvasively phenotype atrial fibrillation (AF) in a way that reflects clinical end points 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, calibrated to panoramic intracardiac recordings and referenced to AF termination by ablation. METHODS: Bi-atrial intracardiac electrograms of 47 patients with AF 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 noninvasively tracked in 3-dimension using phase singularity. 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 phase singularity density (2.3±2.1 versus 1.9±1.6; P=0.02) and number of drivers (3.2±2.3 versus 2.7±1.7; P=0.02). Complexity, defined as the number of stable AF reentrant sites, was concordant between noninvasive and invasive methods (r2=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 noninvasively 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.
BACKGROUND: It is difficult to noninvasively phenotype atrial fibrillation (AF) in a way that reflects clinical end points 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, calibrated to panoramic intracardiac recordings and referenced to AF termination by ablation. METHODS: Bi-atrial intracardiac electrograms of 47 patients with AF 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 noninvasively tracked in 3-dimension using phase singularity. 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 phase singularity density (2.3±2.1 versus 1.9±1.6; P=0.02) and number of drivers (3.2±2.3 versus 2.7±1.7; P=0.02). Complexity, defined as the number of stable AF reentrant sites, was concordant between noninvasive and invasive methods (r2=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 noninvasively 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.
Authors: Christopher A B Kowalewski; Fatemah Shenasa; Miguel Rodrigo; Paul Clopton; Gabriela Meckler; Mahmood I Alhusseini; Mark A Swerdlow; Vijay Joshi; Samir Hossainy; Junaid A B Zaman; Tina Baykaner; Albert J Rogers; Johannes Brachmann; John M Miller; David E Krummen; William H Sauer; Nicholas S Peters; Paul J Wang; Sanjiv M Narayan Journal: Circ Arrhythm Electrophysiol Date: 2018-06
Authors: Miguel Rodrigo; Andreu M Climent; Alejandro Liberos; Ismael Hernandez-Romero; Angel Arenal; Javier Bermejo; Francisco Fernandez-Aviles; Felipe Atienza; Maria S Guillem Journal: IEEE Trans Med Imaging Date: 2017-05-23 Impact factor: 10.048
Authors: John M Miller; Vikas Kalra; Mithilesh K Das; Rahul Jain; Jason B Garlie; Jordan A Brewster; Gopi Dandamudi Journal: J Am Coll Cardiol Date: 2017-03-14 Impact factor: 24.094
Authors: Miguel Rodrigo; Andreu M Climent; Alejandro Liberos; Francisco Fernández-Avilés; Omer Berenfeld; Felipe Atienza; Maria S Guillem Journal: Circ Arrhythm Electrophysiol Date: 2017-09
Authors: M Rodrigo; A M Climent; A Liberos; F Fernández-Aviles; F Atienza; M S Guillem; O Berenfeld Journal: Pacing Clin Electrophysiol Date: 2017-07-12 Impact factor: 1.976
Authors: A John Camm; Günter Breithardt; Harry Crijns; Paul Dorian; Peter Kowey; Jean-Yves Le Heuzey; Ihsen Merioua; Laurence Pedrazzini; Eric N Prystowsky; Peter J Schwartz; Christian Torp-Pedersen; William Weintraub Journal: J Am Coll Cardiol Date: 2011-07-26 Impact factor: 24.094
Authors: Tina Baykaner; Albert J Rogers; Gabriela L Meckler; Junaid Zaman; Rachita Navara; Miguel Rodrigo; Mahmood Alhusseini; Christopher A B Kowalewski; Mohan N Viswanathan; Sanjiv M Narayan; Paul Clopton; Paul J Wang; Paul A Heidenreich Journal: Circ Arrhythm Electrophysiol Date: 2018-05
Authors: Junaid A B Zaman; Tina Baykaner; Paul Clopton; Vijay Swarup; Robert C Kowal; James P Daubert; John D Day; John Hummel; Amir A Schricker; David E Krummen; Moussa Mansour; Gery F Tomassoni; Kevin R Wheelan; Mohan Vishwanathan; Shirley Park; Paul J Wang; Sanjiv M Narayan; John M Miller Journal: JACC Clin Electrophysiol Date: 2017-04
Authors: Aikaterini Vraka; José Moreno-Arribas; Juan M Gracia-Baena; Fernando Hornero; Raúl Alcaraz; José J Rieta Journal: J Cardiovasc Dev Dis Date: 2022-06-01
Authors: Rubén Molero; Ana González-Ascaso; Ismael Hernández-Romero; David Lundback-Mompó; Andreu M Climent; María S Guillem Journal: Front Physiol Date: 2022-08-29 Impact factor: 4.755