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Abstract
The global burden caused by cardiovascular disease is substantial, with heart disease representing the most common cause of death around the world. There remains a need to develop better mechanistic models of cardiac function in order to combat this health concern. Heart rhythm disorders, or arrhythmias, are one particular type of disease which has been amenable to quantitative investigation. Here we review the application of quantitative methodologies to explore dynamical questions pertaining to arrhythmias. We begin by describing single-cell models of cardiac myocytes, from which two and three dimensional models can be constructed. Special focus is placed on results relating to pattern formation across these spatially-distributed systems, especially the formation of spiral waves of activation. Next, we discuss mechanisms which can lead to the initiation of arrhythmias, focusing on the dynamical state of spatially discordant alternans, and outline proposed mechanisms perpetuating arrhythmias such as fibrillation. We then review experimental and clinical results related to the spatio-temporal mapping of heart rhythm disorders. Finally, we describe treatment options for heart rhythm disorders and demonstrate how statistical physics tools can provide insights into the dynamics of heart rhythm disorders.
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Affiliation(s)
- Wouter-Jan Rappel
- Department of Physics, University of California San Diego, La Jolla, CA 92037
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2
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Li TC, Zhong W, Ai BQ, Panfilov AV, Dierckx H. Control of the chirality of spiral waves and recreation of spatial excitation patterns through optogenetics. Phys Rev E 2022; 105:014214. [PMID: 35193299 DOI: 10.1103/physreve.105.014214] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 01/06/2022] [Indexed: 06/14/2023]
Abstract
Spiral waves lead to dangerous arrhythmias in the cardiac system. In 2015 Burton et al. demonstrated the reversal of the spiral wave chirality through the rotating spiral-shaped illumination on the optogenetically modified cardiac monolayers. We show that this process entails the recreation of a spiral wave. We show how this methodology can be used to control and create the desired spatial excitation pattern. We found that the control is sensitive to the area of illuminated region but independent of the phase difference of the existing spiral wave and the applied spiral-shaped light. We also discovered that our methodology can temporarily resynchronize a turbulent system. The results offer numerical evidence for the control of spatial pattern in biological excitable systems with optogenetics.
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Affiliation(s)
- Teng-Chao Li
- Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials and School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, China and Guangdong-Hong Kong Joint Laboratory of Quantum Matter, Frontier Research Institute for Physics, South China Normal University, Guangzhou 510006, China
| | - Wei Zhong
- Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials and School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, China and Guangdong-Hong Kong Joint Laboratory of Quantum Matter, Frontier Research Institute for Physics, South China Normal University, Guangzhou 510006, China
| | - Bao-Quan Ai
- Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials and School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, China and Guangdong-Hong Kong Joint Laboratory of Quantum Matter, Frontier Research Institute for Physics, South China Normal University, Guangzhou 510006, China
| | - Alexander V Panfilov
- Ural Federal University, Biomed Laboratory, 620002 Ekaterinburg, Russia; Ghent University, 9000 Ghent, Belgium; and World-Class Research Center "Digital Biodesign and Personalized Healthcare," I. M. Sechenov First Moscow State Medical University, 119146 Moscow, Russia
| | - Hans Dierckx
- KU Leuven Campus Kortrijk-Kulak, Department of Mathematics, Etienne Sabbelaan 53, 8500 Kortrijk, Belgium and iSi Health - KU Leuven Institute of Physics-based Modeling for In Silico Health, KU Leuven, Belgium
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3
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Li QH, Van Nieuwenhuyse E, Xia YX, Pan JT, Duytschaever M, Knecht S, Vandersickel N, Zhou C, Panfilov AV, Zhang H. Finding type and location of the source of cardiac arrhythmias from the averaged flow velocity field using the determinant-trace method. Phys Rev E 2021; 104:064401. [PMID: 35030872 DOI: 10.1103/physreve.104.064401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 11/05/2021] [Indexed: 06/14/2023]
Abstract
Life threatening cardiac arrhythmias result from abnormal propagation of nonlinear electrical excitation waves in the heart. Finding the locations of the sources of these waves remains a challenging problem. This is mainly due to the low spatial resolution of electrode recordings of these waves. Also, these recordings are subjected to noise. In this paper, we develop a different approach: the AFV-DT method based on an averaged flow velocity (AFV) technique adopted from the analysis of optical flows and the determinant-trace (DT) method used for vector field analysis of dynamical systems. This method can find the location and determine all important types of sources found in excitable media such as focal activity, spiral waves, and waves rotating around obstacles. We test this method on in silico data of various wave excitation patterns obtained using the Luo-Rudy model for cardiac tissue. We show that the method works well for data with low spatial resolutions (up to 8×8) and is stable against noise. Finally, we apply it to two clinical cases and show that it can correctly identify the arrhythmia type and location. We discuss further steps on the development and improvement of this approach.
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Affiliation(s)
- Qi-Hao Li
- Department of Physics, Zhejiang University, Hangzhou 310027, China
| | | | - Yuan-Xun Xia
- Department of Physics, Zhejiang University, Hangzhou 310027, China
| | - Jun-Ting Pan
- Ocean College, Zhejiang University, Zhoushan 316021, China
| | | | | | - Nele Vandersickel
- Department of Physics and Astronomy, Ghent University, Ghent 9000, Belgium
| | - Changsong Zhou
- Department of Physics, Zhejiang University, Hangzhou 310027, China
- Department of Physics, Centre for Nonlinear Studies and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Kowloon Tong, Hong Kong
- Research Centre, HKBU Institute of Research and Continuing Education, Shenzhen 518057, China
- Beijing Computational Science Research Center, Beijing 100084, China
| | - Alexander V Panfilov
- Department of Physics and Astronomy, Ghent University, Ghent 9000, Belgium
- Laboratory of Computational Biology and Medicine, Ural Federal University, Ekaterinburg 620002, Russia
- World-Class Research Center "Digital biodesign and personalized healthcare," Sechenov University, Moscow 119146, Russia
| | - Hong Zhang
- Department of Physics, Zhejiang University, Hangzhou 310027, China
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4
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Rosa GL, Quintanilla JG, Salgado R, González-Ferrer JJ, Cañadas-Godoy V, Pérez-Villacastín J, Pérez-Castellano N, Jalife J, Filgueiras-Rama D. Mapping Technologies for Catheter Ablation of Atrial Fibrillation Beyond Pulmonary Vein Isolation. Eur Cardiol 2021; 16:e21. [PMID: 34093742 PMCID: PMC8157391 DOI: 10.15420/ecr.2020.39] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 01/25/2021] [Indexed: 11/17/2022] Open
Abstract
Catheter ablation remains the most effective and relatively minimally invasive therapy for rhythm control in patients with AF. Ablation has consistently shown a reduction of arrhythmia-related symptoms and significant improvement in patients’ quality of life compared with medical treatment. The ablation strategy relies on a well-established anatomical approach of effective pulmonary vein isolation. Additional anatomical targets have been reported with the aim of increasing procedure success in complex substrates. However, larger ablated areas with uncertainty of targeting relevant regions for AF initiation or maintenance are not exempt from the potential risk of complications and pro-arrhythmia. Recent developments in mapping tools and computational methods for advanced signal processing during AF have reported novel strategies to identify atrial regions associated with AF maintenance. These novel tools – although mainly limited to research series – represent a significant step forward towards the understanding of complex patterns of propagation during AF and the potential achievement of patient-tailored AF ablation strategies for the near future.
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Affiliation(s)
- Giulio La Rosa
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Myocardial Pathophysiology Area Madrid, Spain.,Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute Madrid, Spain
| | - Jorge G Quintanilla
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Myocardial Pathophysiology Area Madrid, Spain.,Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute Madrid, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV) Madrid, Spain
| | - Ricardo Salgado
- Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute Madrid, Spain
| | - Juan José González-Ferrer
- Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute Madrid, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV) Madrid, Spain
| | - Victoria Cañadas-Godoy
- Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute Madrid, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV) Madrid, Spain
| | - Julián Pérez-Villacastín
- Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute Madrid, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV) Madrid, Spain.,Fundación Interhospitalaria para la Investigación Cardiovascular (FIC) Madrid, Spain
| | - Nicasio Pérez-Castellano
- Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute Madrid, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV) Madrid, Spain.,Fundación Interhospitalaria para la Investigación Cardiovascular (FIC) Madrid, Spain
| | - José Jalife
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Myocardial Pathophysiology Area Madrid, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV) Madrid, Spain
| | - David Filgueiras-Rama
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Myocardial Pathophysiology Area Madrid, Spain.,Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute Madrid, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV) Madrid, Spain
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5
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Abad R, Collart O, Ganesan P, Rogers AJ, Alhusseini MI, Rodrigo M, Narayan SM, Rappel WJ. Three dimensional reconstruction to visualize atrial fibrillation activation patterns on curved atrial geometry. PLoS One 2021; 16:e0249873. [PMID: 33836026 PMCID: PMC8034734 DOI: 10.1371/journal.pone.0249873] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 03/26/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The rotational activation created by spiral waves may be a mechanism for atrial fibrillation (AF), yet it is unclear how activation patterns obtained from endocardial baskets are influenced by the 3D geometric curvature of the atrium or 'unfolding' into 2D maps. We develop algorithms that can visualize spiral waves and their tip locations on curved atrial geometries. We use these algorithms to quantify differences in AF maps and spiral tip locations between 3D basket reconstructions, projection onto 3D anatomical shells and unfolded 2D surfaces. METHODS We tested our algorithms in N = 20 patients in whom AF was recorded from 64-pole baskets (Abbott, CA). Phase maps were generated by non-proprietary software to identify the tips of spiral waves, indicated by phase singularities. The number and density of spiral tips were compared in patient-specific 3D shells constructed from the basket, as well as 3D maps from clinical electroanatomic mapping systems and 2D maps. RESULTS Patients (59.4±12.7 yrs, 60% M) showed 1.7±0.8 phase singularities/patient, in whom ablation terminated AF in 11/20 patients (55%). There was no difference in the location of phase singularities, between 3D curved surfaces and 2D unfolded surfaces, with a median correlation coefficient between phase singularity density maps of 0.985 (0.978-0.990). No significant impact was noted by phase singularities location in more curved regions or relative to the basket location (p>0.1). CONCLUSIONS AF maps and phase singularities mapped by endocardial baskets are qualitatively and quantitatively similar whether calculated by 3D phase maps on patient-specific curved atrial geometries or in 2D. Phase maps on patient-specific geometries may be easier to interpret relative to critical structures for ablation planning.
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Affiliation(s)
- Ricardo Abad
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
| | - Orvil Collart
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
| | - Prasanth Ganesan
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
| | - A. J. Rogers
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
| | - Mahmood I. Alhusseini
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
| | - Miguel Rodrigo
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
- Universitat Politècnica de València, Valencia, Spain
| | - Sanjiv M. Narayan
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States of America
- * E-mail: (SMN); (WJR)
| | - Wouter-Jan Rappel
- Department of Physics, UC San Diego, La Jolla, California, United States of America
- * E-mail: (SMN); (WJR)
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6
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Gagné S, Jacquemet V. Time resolution for wavefront and phase singularity tracking using activation maps in cardiac propagation models. CHAOS (WOODBURY, N.Y.) 2020; 30:033132. [PMID: 32237790 DOI: 10.1063/1.5133077] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 03/02/2020] [Indexed: 06/11/2023]
Abstract
The dynamics of cardiac fibrillation can be described by the number, the trajectory, the stability, and the lifespan of phase singularities (PSs). Accurate PS tracking is straightforward in simple uniform tissues but becomes more challenging as fibrosis, structural heterogeneity, and strong anisotropy are combined. In this paper, we derive a mathematical formulation for PS tracking in two-dimensional reaction-diffusion models. The method simultaneously tracks wavefronts and PS based on activation maps at full spatiotemporal resolution. PS tracking is formulated as a linear assignment problem solved by the Hungarian algorithm. The cost matrix incorporates information about distances between PS, chirality, and wavefronts. A graph of PS trajectories is generated to represent the creations and annihilations of PS pairs. Structure-preserving graph transformations are applied to provide a simplified description at longer observation time scales. The approach is validated in 180 simulations of fibrillation in four different types of substrates featuring, respectively, wavebreaks, ionic heterogeneities, fibrosis, and breakthrough patterns. The time step of PS tracking is studied in the range from 0.1 to 10 ms. The results show the benefits of improving time resolution from 1 to 0.1 ms. The tracking error rate decreases by an order of magnitude because the occurrence of simultaneous events becomes less likely. As observed on PS survival curves, the graph-based analysis facilitates the identification of macroscopically stable rotors despite wavefront fragmentation by fibrosis.
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Affiliation(s)
- Samuel Gagné
- Institut de Génie Biomédical, Département de Pharmacologie et Physiologie, Université de Montréal, C.P. 6128, succursale Centre-ville, Montréal, Quebec H3C 3J7, Canada
| | - Vincent Jacquemet
- Institut de Génie Biomédical, Département de Pharmacologie et Physiologie, Université de Montréal, C.P. 6128, succursale Centre-ville, Montréal, Quebec H3C 3J7, Canada
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7
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Leef G, Shenasa F, Bhatia NK, Rogers AJ, Sauer W, Miller JM, Swerdlow M, Tamboli M, Alhusseini MI, Armenia E, Baykaner T, Brachmann J, Turakhia MP, Atienza F, Rappel WJ, Wang PJ, Narayan SM. Wavefront Field Mapping Reveals a Physiologic Network Between Drivers Where Ablation Terminates Atrial Fibrillation. Circ Arrhythm Electrophysiol 2019; 12:e006835. [PMID: 31352796 DOI: 10.1161/circep.118.006835] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
BACKGROUND Localized drivers are proposed mechanisms for persistent atrial fibrillation (AF) from optical mapping of human atria and clinical studies of AF, yet are controversial because drivers fluctuate and ablating them may not terminate AF. We used wavefront field mapping to test the hypothesis that AF drivers, if concurrent, may interact to produce fluctuating areas of control to explain their appearance/disappearance and acute impact of ablation. METHODS We recruited 54 patients from an international registry in whom persistent AF terminated by targeted ablation. Unipolar AF electrograms were analyzed from 64-pole baskets to reconstruct activation times, map propagation vectors each 20 ms, and create nonproprietary phase maps. RESULTS Each patient (63.6±8.5 years, 29.6% women) showed 4.0±2.1 spatially anchored rotational or focal sites in AF in 3 patterns. First, a single (type I; n=7) or, second, paired chiral-antichiral (type II; n=5) rotational drivers controlled most of the atrial area. Ablation of 1 to 2 large drivers terminated all cases of types I or II AF. Third, interaction of 3 to 5 drivers (type III; n=42) with changing areas of control. Targeted ablation at driver centers terminated AF and required more ablation in types III versus I (P=0.02 in left atrium). CONCLUSIONS Wavefront field mapping of persistent AF reveals a pathophysiologic network of a small number of spatially anchored rotational and focal sites, which interact, fluctuate, and control varying areas. Future work should define whether AF drivers that control larger atrial areas are attractive targets for ablation.
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Affiliation(s)
- George Leef
- Department of Medicine, Stanford University, California (G.L., F.S., N.K.B., A.J.R., M.S., M.T., M.I.A., T.B., P.J.W., S.M.N.)
| | - Fatemah Shenasa
- Department of Medicine, Stanford University, California (G.L., F.S., N.K.B., A.J.R., M.S., M.T., M.I.A., T.B., P.J.W., S.M.N.)
| | - Neal K Bhatia
- Department of Medicine, Stanford University, California (G.L., F.S., N.K.B., A.J.R., M.S., M.T., M.I.A., T.B., P.J.W., S.M.N.)
| | - Albert J Rogers
- Department of Medicine, Stanford University, California (G.L., F.S., N.K.B., A.J.R., M.S., M.T., M.I.A., T.B., P.J.W., S.M.N.)
| | - William Sauer
- Department of Medicine, University of Colorado, Denver (W.S., E.A.)
| | - John M Miller
- Department of Medicine, University of Indiana, Indianapolis (J.M.M.)
| | - Mark Swerdlow
- Department of Medicine, Stanford University, California (G.L., F.S., N.K.B., A.J.R., M.S., M.T., M.I.A., T.B., P.J.W., S.M.N.)
| | - Mallika Tamboli
- Department of Medicine, Stanford University, California (G.L., F.S., N.K.B., A.J.R., M.S., M.T., M.I.A., T.B., P.J.W., S.M.N.)
| | - Mahmood I Alhusseini
- Department of Medicine, Stanford University, California (G.L., F.S., N.K.B., A.J.R., M.S., M.T., M.I.A., T.B., P.J.W., S.M.N.)
| | - Erin Armenia
- Department of Medicine, University of Colorado, Denver (W.S., E.A.)
| | - Tina Baykaner
- Department of Medicine, Stanford University, California (G.L., F.S., N.K.B., A.J.R., M.S., M.T., M.I.A., T.B., P.J.W., S.M.N.)
| | | | - Mintu P Turakhia
- Department of Medicine, Veterans Affairs Palo Alto Health Care System, CA (M.P.T.)
| | - Felipe Atienza
- Departamento de Cardiologia, Hospital General Universitario Gregorio Maranon, Madrid, Spain (F.A.)
| | | | - Paul J Wang
- Department of Medicine, Stanford University, California (G.L., F.S., N.K.B., A.J.R., M.S., M.T., M.I.A., T.B., P.J.W., S.M.N.)
| | - Sanjiv M Narayan
- Department of Medicine, Stanford University, California (G.L., F.S., N.K.B., A.J.R., M.S., M.T., M.I.A., T.B., P.J.W., S.M.N.)
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8
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Calkins H, Hindricks G, Cappato R, Kim YH, Saad EB, Aguinaga L, Akar JG, Badhwar V, Brugada J, Camm J, Chen PS, Chen SA, Chung MK, Nielsen JC, Curtis AB, Wyn Davies D, Day JD, d'Avila A, de Groot NMSN, Di Biase L, Duytschaever M, Edgerton JR, Ellenbogen KA, Ellinor PT, Ernst S, Fenelon G, Gerstenfeld EP, Haines DE, Haissaguerre M, Helm RH, Hylek E, Jackman WM, Jalife J, Kalman JM, Kautzner J, Kottkamp H, Kuck KH, Kumagai K, Lee R, Lewalter T, Lindsay BD, Macle L, Mansour M, Marchlinski FE, Michaud GF, Nakagawa H, Natale A, Nattel S, Okumura K, Packer D, Pokushalov E, Reynolds MR, Sanders P, Scanavacca M, Schilling R, Tondo C, Tsao HM, Verma A, Wilber DJ, Yamane T. 2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation: executive summary. J Interv Card Electrophysiol 2019; 50:1-55. [PMID: 28914401 PMCID: PMC5633646 DOI: 10.1007/s10840-017-0277-z] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Hugh Calkins
- Johns Hopkins Medical Institutions, Baltimore, MD, USA.
| | | | - Riccardo Cappato
- Humanitas Research Hospital, Arrhythmias and Electrophysiology Research Center, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- IRCCS, Humanitas Clinical and Research Center, Milan, Italy
| | | | - Eduardo B Saad
- Hospital Pro-Cardiaco and Hospital Samaritano, Botafogo, Rio de Janeiro, Brazil
| | | | - Joseph G Akar
- Yale University School of Medicine, New Haven, CT, USA
| | - Vinay Badhwar
- West Virginia University School of Medicine, Morgantown, WV, USA
| | - Josep Brugada
- Cardiovascular Institute, Hospital Clínic, University of Barcelona, Catalonia, Spain
| | - John Camm
- St. George's University of London, London, UK
| | - Peng-Sheng Chen
- Indiana University School of Medicine, Indianapolis, IN, USA
| | | | | | | | | | - D Wyn Davies
- Imperial College Healthcare NHS Trust, London, UK
| | - John D Day
- Intermountain Medical Center Heart Institute, Salt Lake City, UT, USA
| | | | | | - Luigi Di Biase
- Albert Einstein College of Medicine, Montefiore-Einstein Center for Heart & Vascular Care, Bronx, NY, USA
| | | | | | | | | | - Sabine Ernst
- Royal Brompton and Harefield NHS Foundation Trust, National Heart and Lung Institute, Imperial College London, London, UK
| | - Guilherme Fenelon
- Albert Einstein Jewish Hospital, Federal University of São Paulo, São Paulo, Brazil
| | | | | | | | | | - Elaine Hylek
- Boston University School of Medicine, Boston, MA, USA
| | - Warren M Jackman
- Heart Rhythm Institute, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Jose Jalife
- University of Michigan, Ann Arbor, MI, USA
- The National Center for Cardiovascular Research Carlos III (CNIC), Madrid, Spain
- CIBERCV, Madrid, Spain
| | - Jonathan M Kalman
- Royal Melbourne Hospital and University of Melbourne, Melbourne, Australia
| | - Josef Kautzner
- Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Hans Kottkamp
- Hirslanden Hospital, Department of Electrophysiology, Zurich, Switzerland
| | | | | | - Richard Lee
- Saint Louis University Medical School, St. Louis, MO, USA
| | - Thorsten Lewalter
- Department of Cardiology and Intensive Care, Hospital Munich-Thalkirchen, Munich, Germany
| | | | - Laurent Macle
- Montreal Heart Institute, Department of Medicine, Université de Montréal, Montréal, Canada
| | | | - Francis E Marchlinski
- Hospital of the University of Pennsylvania, Philadelphia, PA, USA
- University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | | | - Hiroshi Nakagawa
- Heart Rhythm Institute, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Andrea Natale
- St. David's Medical Center, Texas Cardiac Arrhythmia Institute, Austin, TX, USA
| | - Stanley Nattel
- Montreal Heart Institute, Montreal, QC, Canada
- Université de Montréal, Montreal, QC, Canada
- McGill University, Montreal, QC, Canada
- University Duisburg-Essen, Essen, Germany
| | - Ken Okumura
- Division of Cardiology, Saiseikai Kumamoto Hospital, Kumamoto, Japan
| | | | - Evgeny Pokushalov
- State Research Institute of Circulation Pathology, Novosibirsk, Russia
| | | | - Prashanthan Sanders
- Centre for Heart Rhythm Disorders, South Australian Health and Medical Research Institute, University of Adelaide, Adelaide, Australia
- Royal Adelaide Hospital, Adelaide, Australia
| | | | | | - Claudio Tondo
- Cardiac Arrhythmia Research Center, Centro Cardiologico Monzino, IRCCS, Milan, Italy
- Department of Cardiovascular Sciences, University of Milan, Milan, Italy
| | | | - Atul Verma
- Southlake Regional Health Centre, University of Toronto, Toronto, ON, Canada
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9
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Filos D, Tachmatzidis D, Maglaveras N, Vassilikos V, Chouvarda I. Understanding the Beat-to-Beat Variations of P-Waves Morphologies in AF Patients During Sinus Rhythm: A Scoping Review of the Atrial Simulation Studies. Front Physiol 2019; 10:742. [PMID: 31275161 PMCID: PMC6591370 DOI: 10.3389/fphys.2019.00742] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 05/28/2019] [Indexed: 11/13/2022] Open
Abstract
The remarkable advances in high-performance computing and the resulting increase of the computational power have the potential to leverage computational cardiology toward improving our understanding of the pathophysiological mechanisms of arrhythmias, such as Atrial Fibrillation (AF). In AF, a complex interaction between various triggers and the atrial substrate is considered to be the leading cause of AF initiation and perpetuation. In electrocardiography (ECG), P-wave is supposed to reflect atrial depolarization. It has been found that even during sinus rhythm (SR), multiple P-wave morphologies are present in AF patients with a history of AF, suggesting a higher dispersion of the conduction route in this population. In this scoping review, we focused on the mechanisms which modify the electrical substrate of the atria in AF patients, while investigating the existence of computational models that simulate the propagation of the electrical signal through different routes. The adopted review methodology is based on a structured analytical framework which includes the extraction of the keywords based on an initial limited bibliographic search, the extensive literature search and finally the identification of relevant articles based on the reference list of the studies. The leading mechanisms identified were classified according to their scale, spanning from mechanisms in the cell, tissue or organ level, and the produced outputs. The computational modeling approaches for each of the factors that influence the initiation and the perpetuation of AF are presented here to provide a clear overview of the existing literature. Several levels of categorization were adopted while the studies which aim to translate their findings to ECG phenotyping are highlighted. The results denote the availability of multiple models, which are appropriate under specific conditions. However, the consideration of complex scenarios taking into account multiple spatiotemporal scales, personalization of electrophysiological and anatomical models and the reproducibility in terms of ECG phenotyping has only partially been tackled so far.
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Affiliation(s)
- Dimitrios Filos
- Lab of Computing, Medical Informatics and Biomedical Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Nicos Maglaveras
- Lab of Computing, Medical Informatics and Biomedical Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL, United States
| | - Vassilios Vassilikos
- 3rd Cardiology Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Ioanna Chouvarda
- Lab of Computing, Medical Informatics and Biomedical Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
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10
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Gurevich DR, Grigoriev RO. Robust approach for rotor mapping in cardiac tissue. CHAOS (WOODBURY, N.Y.) 2019; 29:053101. [PMID: 31154775 PMCID: PMC6499622 DOI: 10.1063/1.5086936] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2018] [Accepted: 04/10/2019] [Indexed: 06/09/2023]
Abstract
The motion of and interaction between phase singularities that lie at the centers of spiral waves capture many qualitative and, in some cases, quantitative features of complex dynamics in excitable systems. Being able to accurately reconstruct their position is thus quite important, even if the data are noisy and sparse, as in electrophysiology studies of cardiac arrhythmias, for instance. A recently proposed global topological approach [Marcotte and Grigoriev, Chaos 27, 093936 (2017)] promises to meaningfully improve the quality of the reconstruction compared with traditional, local approaches. Indeed, we found that this approach is capable of handling noise levels exceeding the range of the signal with minimal loss of accuracy. Moreover, it also works successfully with data sampled on sparse grids with spacing comparable to the mean separation between the phase singularities for complex patterns featuring multiple interacting spiral waves.
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Affiliation(s)
- Daniel R Gurevich
- School of Physics, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - Roman O Grigoriev
- School of Physics, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
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11
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Martinez-Mateu L, Romero L, Saiz J, Berenfeld O. Far-field contributions in multi-electrodes atrial recordings blur distinction between anatomical and functional reentries and may cause imaginary phase singularities - A computational study. Comput Biol Med 2019; 108:276-287. [PMID: 31015048 DOI: 10.1016/j.compbiomed.2019.02.022] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Revised: 02/14/2019] [Accepted: 02/21/2019] [Indexed: 01/11/2023]
Abstract
BACKGROUND Atrial fibrillation (AF) is the most common cardiac arrhythmia and the most important cause of embolic stroke, requiring new technologies for its better understanding and therapies. Recent approaches to map the electrical activity during AF with multi-electrode systems aim at localizing patient-specific ablation targets of reentrant patterns. However, there is a critical need to determine the accuracy of those mapping systems. We performed computer simulations as a numerical approach of systematically evaluating the influence of far-field sources on the electrical recordings and detection of rotors. METHODS We constructed 2 computer models of atrial tissue: (i) a 2D sheet model with varying non-active cells area in its center, and (ii) a whole realistic 3D atrial model. Phase maps were built based on the Hilbert transform of the unipolar electrograms recorded by virtual 2D and 3D multi-electrode systems and rotors were tracked through phase singularities detections. RESULTS Analysis of electrograms recorded away from the 2D atrial model shows that the larger the distance between an electrode and the tissue model, the stronger the far-field sources contribution to the electrogram is. Importantly, even if an electrode is positioned in contact with the tissue, the electrogram contains significant contributions from distal sources that blur the distinction between anatomical and functional reentries. Moreover, when mapping the 3D atrial model, remote activity generated false phase singularities at locations without local reentrant excitation patterns. CONCLUSIONS Far-field contributions to electrograms during AF reduce the accuracy of detecting and interpreting reentrant activity.
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Affiliation(s)
- Laura Martinez-Mateu
- Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, Spain.
| | - Lucia Romero
- Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, Spain
| | - Javier Saiz
- Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, Spain
| | - Omer Berenfeld
- Center for Arrhythmia Research, University of Michigan, Ann Arbor, MI, USA
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12
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Jacquemet V. Phase singularity detection through phase map interpolation: Theory, advantages and limitations. Comput Biol Med 2018; 102:381-389. [DOI: 10.1016/j.compbiomed.2018.07.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 07/18/2018] [Accepted: 07/19/2018] [Indexed: 10/28/2022]
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13
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Rogers AJ, Tamboli M, Narayan SM. Integrating mapping methods for atrial fibrillation. Pacing Clin Electrophysiol 2018; 41:1286-1288. [PMID: 30144115 PMCID: PMC6169992 DOI: 10.1111/pace.13476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 08/10/2018] [Indexed: 11/30/2022]
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14
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Vidmar D, Alhusseini MI, Narayan SM, Rappel WJ. Characterizing Electrogram Signal Fidelity and the Effects of Signal Contamination on Mapping Human Persistent Atrial Fibrillation. Front Physiol 2018; 9:1232. [PMID: 30237766 PMCID: PMC6135945 DOI: 10.3389/fphys.2018.01232] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Accepted: 08/15/2018] [Indexed: 11/30/2022] Open
Abstract
Objective: Determining accurate intracardiac maps of atrial fibrillation (AF) in humans can be difficult, owing primarily to various sources of contamination in electrogram signals. The goal of this study is to develop a measure for signal fidelity and to develop methods to quantify robustness of observed rotational activity in phase maps subject to signal contamination. Methods: We identified rotational activity in phase maps of human persistent AF using the Hilbert transform of sinusoidally recomposed signals, where localized ablation at rotational sites terminated fibrillation. A novel measure of signal fidelity was developed to quantify signal quality. Contamination is then introduced to the underlying electrograms by removing signals at random, adding noise to computations of cycle length, and adding realistic far-field signals. Mean tip number N and tip density δ, defined as the proportion of time a region contains a tip, at the termination site are computed to compare the effects of contamination. Results: Domains of low signal fidelity correspond to the location of rotational cores. Removing signals and altering cycle length accounted for minor changes in tip density, while targeted removal of low fidelity electrograms can result in a significant increase in tip density and stability. Far-field contamination was found to obscure rotation at the termination site. Conclusion: Rotational activity in clinical AF can produce domains of low fidelity electrogram recordings at rotational cores. Observed rotational patterns in phase maps appear most sensitive to far-field activation. These results may inform novel methods to map AF in humans which can be tested directly in patients at electrophysiological study and ablation.
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Affiliation(s)
- David Vidmar
- Department of Physics, University of California, San Diego, San Diego, CA, United States
| | - Mahmood I. Alhusseini
- Division of Cardiology, Department of Medicine, Stanford University, Stanford, CA, United States
| | - Sanjiv M. Narayan
- Division of Cardiology, Department of Medicine, Stanford University, Stanford, CA, United States
| | - Wouter-Jan Rappel
- Department of Physics, University of California, San Diego, San Diego, CA, United States
- *Correspondence: Wouter-Jan Rappel
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Sakata K, Okuyama Y, Ozawa T, Haraguchi R, Nakazawa K, Tsuchiya T, Horie M, Ashihara T. Not all rotors, effective ablation targets for nonparoxysmal atrial fibrillation, are included in areas suggested by conventional indirect indicators of atrial fibrillation drivers: ExTRa Mapping project. J Arrhythm 2018; 34:176-184. [PMID: 29657593 PMCID: PMC5891413 DOI: 10.1002/joa3.12036] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2017] [Accepted: 12/18/2017] [Indexed: 01/27/2023] Open
Abstract
Background Effects of nonparoxysmal atrial fibrillation (non-PAF) ablation targeting complex fractionated atrial electrogram (CFAE) areas and/or low voltage areas (LVAs) are still controversial. Methods and Results A recently developed online real-time phase mapping system (ExTRa Mapping) was used to conduct LVA mapping and simultaneous ExTRa and CFAE mapping in 28 non-PAF patients after pulmonary vein isolation (PVI). Nonpassively activated areas, in the form of meandering rotors and/or multiple wavelets assumed to contain non-PAF drivers, partly overlapped with CFAE/LVAs but not always coincided with them. Conclusion Real-time rotor imaging, rather than conventional indirect indicators only, might be very useful for detecting non-PAF drivers.
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Affiliation(s)
- Kensuke Sakata
- Department of Cardiovascular Medicine Shiga University of Medical Science Otsu Japan
| | - Yusuke Okuyama
- Department of Cardiovascular Medicine Shiga University of Medical Science Otsu Japan
| | - Tomoya Ozawa
- Department of Cardiovascular Medicine Shiga University of Medical Science Otsu Japan
| | - Ryo Haraguchi
- Graduate School of Applied Informatics University of Hyogo Kobe Japan
| | - Kazuo Nakazawa
- Department of Medical Informatics National Cerebral and Cardiovascular Center Suita Japan
| | | | - Minoru Horie
- Department of Cardiovascular Medicine Shiga University of Medical Science Otsu Japan
| | - Takashi Ashihara
- Department of Cardiovascular Medicine Shiga University of Medical Science Otsu Japan
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16
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Hajimolahoseini H, Hashemi J, Gazor S, Redfearn D. Inflection point analysis: A machine learning approach for extraction of IEGM active intervals during atrial fibrillation. Artif Intell Med 2018; 85:7-15. [PMID: 29503040 DOI: 10.1016/j.artmed.2018.02.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 01/11/2018] [Accepted: 02/15/2018] [Indexed: 10/17/2022]
Abstract
OBJECTIVE In this paper, we propose a novel algorithm to extract the active intervals of intracardiac electrograms during atrial fibrillation. METHODS First, we show that the characteristics of the signal waveform at its inflection points are prominent features that are implicitly used by human annotators for distinguishing between active and inactive intervals of IEGMs. Then, we show that the natural logarithm of features corresponding to active and inactive intervals exhibits a mixture of two Gaussian distributions in three dimensional feature space. An Expectation Maximization algorithm for Gaussian mixtures is then applied for automatic clustering of the features into two categories. RESULTS The absolute error in onset and offset estimation of active intervals is 6.1ms and 10.7ms, respectively, guaranteeing a high resolution. The true positive rate for the proposed method is also 98.1%, proving the high reliability. CONCLUSION The proposed method can extract the active intervals of IEGMs during AF with a high accuracy and resolution close to manually annotated results. SIGNIFICANCE In contrast with some of the conventional methods, no windowing technique is required in our approach resulting in significantly higher resolution in estimating the onset and offset of active intervals. Furthermore, since the signal characteristics at inflection points are analyzed instead of signal samples, the computational time is significantly low, ensuring the real-time application of our algorithm. The proposed method is also robust to noise and baseline variations thanks to the Laplacian of Gaussian filter employed for extraction of inflection points.
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17
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Martinez-Mateu L, Romero L, Ferrer-Albero A, Sebastian R, Rodríguez Matas JF, Jalife J, Berenfeld O, Saiz J. Factors affecting basket catheter detection of real and phantom rotors in the atria: A computational study. PLoS Comput Biol 2018; 14:e1006017. [PMID: 29505583 PMCID: PMC5854439 DOI: 10.1371/journal.pcbi.1006017] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 03/15/2018] [Accepted: 02/01/2018] [Indexed: 02/07/2023] Open
Abstract
Anatomically based procedures to ablate atrial fibrillation (AF) are often successful in terminating paroxysmal AF. However, the ability to terminate persistent AF remains disappointing. New mechanistic approaches use multiple-electrode basket catheter mapping to localize and target AF drivers in the form of rotors but significant concerns remain about their accuracy. We aimed to evaluate how electrode-endocardium distance, far-field sources and inter-electrode distance affect the accuracy of localizing rotors. Sustained rotor activation of the atria was simulated numerically and mapped using a virtual basket catheter with varying electrode densities placed at different positions within the atrial cavity. Unipolar electrograms were calculated on the entire endocardial surface and at each of the electrodes. Rotors were tracked on the interpolated basket phase maps and compared with the respective atrial voltage and endocardial phase maps, which served as references. Rotor detection by the basket maps varied between 35-94% of the simulation time, depending on the basket's position and the electrode-to-endocardial wall distance. However, two different types of phantom rotors appeared also on the basket maps. The first type was due to the far-field sources and the second type was due to interpolation between the electrodes; increasing electrode density decreased the incidence of the second but not the first type of phantom rotors. In the simulations study, basket catheter-based phase mapping detected rotors even when the basket was not in full contact with the endocardial wall, but always generated a number of phantom rotors in the presence of only a single real rotor, which would be the desired ablation target. Phantom rotors may mislead and contribute to failure in AF ablation procedures.
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Affiliation(s)
- Laura Martinez-Mateu
- Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, Spain
| | - Lucia Romero
- Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, Spain
| | - Ana Ferrer-Albero
- Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, Spain
| | - Rafael Sebastian
- Computational Multiscale Simulation Lab, Department of Computer Science, Universitat de València, Valencia, Spain
| | - José F. Rodríguez Matas
- Dipartimento di Chimica, Materiali e Ingegneria Chimica “Giulio Natta”, Politecnico di Milano, Milano, Italy
| | - José Jalife
- Center for Arrhythmia Research, University of Michigan, Ann Arbor, Michigan, United States of America
- Fundación Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
- CIBER of Cardiovascular Diseases, Madrid, Spain
| | - Omer Berenfeld
- Center for Arrhythmia Research, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Javier Saiz
- Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, Spain
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18
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Calkins H, Hindricks G, Cappato R, Kim YH, Saad EB, Aguinaga L, Akar JG, Badhwar V, Brugada J, Camm J, Chen PS, Chen SA, Chung MK, Nielsen JC, Curtis AB, Davies DW, Day JD, d’Avila A, de Groot NMS(N, Di Biase L, Duytschaever M, Edgerton JR, Ellenbogen KA, Ellinor PT, Ernst S, Fenelon G, Gerstenfeld EP, Haines DE, Haissaguerre M, Helm RH, Hylek E, Jackman WM, Jalife J, Kalman JM, Kautzner J, Kottkamp H, Kuck KH, Kumagai K, Lee R, Lewalter T, Lindsay BD, Macle L, Mansour M, Marchlinski FE, Michaud GF, Nakagawa H, Natale A, Nattel S, Okumura K, Packer D, Pokushalov E, Reynolds MR, Sanders P, Scanavacca M, Schilling R, Tondo C, Tsao HM, Verma A, Wilber DJ, Yamane T. 2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation: Executive summary. Europace 2018; 20:157-208. [PMID: 29016841 PMCID: PMC5892164 DOI: 10.1093/europace/eux275] [Citation(s) in RCA: 340] [Impact Index Per Article: 56.7] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Affiliation(s)
- Hugh Calkins
- From the Johns Hopkins Medical Institutions, Baltimore, MD
| | | | - Riccardo Cappato
- Humanitas Research Hospital, Arrhythmias and Electrophysiology Research Center, Milan, Italy (Dr. Cappato is now with the Department of Biomedical Sciences, Humanitas University, Milan, Italy, and IRCCS, Humanitas Clinical and Research Center, Milan, Italy)
| | | | - Eduardo B Saad
- Hospital Pro-Cardiaco and Hospital Samaritano, Botafogo, Rio de Janeiro, Brazil
| | | | | | - Vinay Badhwar
- West Virginia University School of Medicine, Morgantown, WV
| | - Josep Brugada
- Cardiovascular Institute, Hospital Clínic, University of Barcelona, Catalonia, Spain
| | - John Camm
- St. George’s University of London, London, United Kingdom
| | | | | | | | | | | | - D Wyn Davies
- Imperial College Healthcare NHS Trust, London, United Kingdom
| | - John D Day
- Intermountain Medical Center Heart Institute, Salt Lake City, UT
| | | | | | - Luigi Di Biase
- Albert Einstein College of Medicine, Montefiore-Einstein Center for Heart & Vascular Care, Bronx, NY
| | | | | | | | | | - Sabine Ernst
- Royal Brompton and Harefield NHS Foundation Trust, National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Guilherme Fenelon
- Albert Einstein Jewish Hospital, Federal University of São Paulo, São Paulo, Brazil
| | | | | | | | | | - Elaine Hylek
- Boston University School of Medicine, Boston, MA
| | - Warren M Jackman
- Heart Rhythm Institute, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Jose Jalife
- University of Michigan, Ann Arbor, MI, the National Center for Cardiovascular Research Carlos III (CNIC) and CIBERCV, Madrid, Spain
| | - Jonathan M Kalman
- Royal Melbourne Hospital and University of Melbourne, Melbourne, Australia
| | - Josef Kautzner
- Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Hans Kottkamp
- Hirslanden Hospital, Department of Electrophysiology, Zurich, Switzerland
| | | | | | - Richard Lee
- Saint Louis University Medical School, St. Louis, MO
| | - Thorsten Lewalter
- Department of Cardiology and Intensive Care, Hospital Munich-Thalkirchen, Munich, Germany
| | | | - Laurent Macle
- Montreal Heart Institute, Department of Medicine, Université de Montréal, Montréal, Canada
| | | | - Francis E Marchlinski
- Hospital of the University of Pennsylvania, University of Pennsylvania School of Medicine, Philadelphia, PA
| | | | - Hiroshi Nakagawa
- Heart Rhythm Institute, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Andrea Natale
- Texas Cardiac Arrhythmia Institute, St. David’s Medical Center, Austin, TX
| | - Stanley Nattel
- Montreal Heart Institute and Université de Montréal, Montreal, Canada, McGill University, Montreal, Canada, and University Duisburg-Essen, Essen, Germany
| | - Ken Okumura
- Division of Cardiology, Saiseikai Kumamoto Hospital, Kumamoto, Japan
| | | | - Evgeny Pokushalov
- State Research Institute of Circulation Pathology, Novosibirsk, Russia
| | | | - Prashanthan Sanders
- Centre for Heart Rhythm Disorders, South Australian Health and Medical Research Institute, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | | | | | - Claudio Tondo
- Cardiac Arrhythmia Research Center, Centro Cardiologico Monzino, IRCCS, Department of Cardiovascular Sciences, University of Milan, Milan, Italy
| | | | - Atul Verma
- Southlake Regional Health Centre, University of Toronto, Toronto, Canada
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19
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Calkins H, Hindricks G, Cappato R, Kim YH, Saad EB, Aguinaga L, Akar JG, Badhwar V, Brugada J, Camm J, Chen PS, Chen SA, Chung MK, Cosedis Nielsen J, Curtis AB, Davies DW, Day JD, d’Avila A, (Natasja) de Groot NMS, Di Biase L, Duytschaever M, Edgerton JR, Ellenbogen KA, Ellinor PT, Ernst S, Fenelon G, Gerstenfeld EP, Haines DE, Haissaguerre M, Helm RH, Hylek E, Jackman WM, Jalife J, Kalman JM, Kautzner J, Kottkamp H, Kuck KH, Kumagai K, Lee R, Lewalter T, Lindsay BD, Macle L, Mansour M, Marchlinski FE, Michaud GF, Nakagawa H, Natale A, Nattel S, Okumura K, Packer D, Pokushalov E, Reynolds MR, Sanders P, Scanavacca M, Schilling R, Tondo C, Tsao HM, Verma A, Wilber DJ, Yamane T. 2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation. Europace 2018; 20:e1-e160. [PMID: 29016840 PMCID: PMC5834122 DOI: 10.1093/europace/eux274] [Citation(s) in RCA: 708] [Impact Index Per Article: 118.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Affiliation(s)
- Hugh Calkins
- From the Johns Hopkins Medical Institutions, Baltimore, MD
| | | | - Riccardo Cappato
- Humanitas Research Hospital, Arrhythmias and Electrophysiology Research Center, Milan, Italy (Dr. Cappato is now with the Department of Biomedical Sciences, Humanitas University, Milan, Italy, and IRCCS, Humanitas Clinical and Research Center, Milan, Italy)
| | | | - Eduardo B Saad
- Hospital Pro-Cardiaco and Hospital Samaritano, Botafogo, Rio de Janeiro, Brazil
| | | | | | - Vinay Badhwar
- West Virginia University School of Medicine, Morgantown, WV
| | - Josep Brugada
- Cardiovascular Institute, Hospital Clínic, University of Barcelona, Catalonia, Spain
| | - John Camm
- St. George's University of London, London, United Kingdom
| | | | | | | | | | | | - D Wyn Davies
- Imperial College Healthcare NHS Trust, London, United Kingdom
| | - John D Day
- Intermountain Medical Center Heart Institute, Salt Lake City, UT
| | | | | | - Luigi Di Biase
- Albert Einstein College of Medicine, Montefiore-Einstein Center for Heart & Vascular Care, Bronx, NY
| | | | | | | | | | - Sabine Ernst
- Royal Brompton and Harefield NHS Foundation Trust, National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Guilherme Fenelon
- Albert Einstein Jewish Hospital, Federal University of São Paulo, São Paulo, Brazil
| | | | | | | | | | - Elaine Hylek
- Boston University School of Medicine, Boston, MA
| | - Warren M Jackman
- Heart Rhythm Institute, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Jose Jalife
- University of Michigan, Ann Arbor, MI, the National Center for Cardiovascular Research Carlos III (CNIC) and CIBERCV, Madrid, Spain
| | - Jonathan M Kalman
- Royal Melbourne Hospital and University of Melbourne, Melbourne, Australia
| | - Josef Kautzner
- Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Hans Kottkamp
- Hirslanden Hospital, Department of Electrophysiology, Zurich, Switzerland
| | | | | | - Richard Lee
- Saint Louis University Medical School, St. Louis, MO
| | - Thorsten Lewalter
- Department of Cardiology and Intensive Care, Hospital Munich-Thalkirchen, Munich, Germany
| | | | - Laurent Macle
- Montreal Heart Institute, Department of Medicine, Université de Montréal, Montréal, Canada
| | | | - Francis E Marchlinski
- Hospital of the University of Pennsylvania, University of Pennsylvania School of Medicine, Philadelphia, PA
| | | | - Hiroshi Nakagawa
- Heart Rhythm Institute, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Andrea Natale
- Texas Cardiac Arrhythmia Institute, St. David's Medical Center, Austin, TX
| | - Stanley Nattel
- Montreal Heart Institute and Université de Montréal, Montreal, Canada, McGill University, Montreal, Canada, and University Duisburg-Essen, Essen, Germany
| | - Ken Okumura
- Division of Cardiology, Saiseikai Kumamoto Hospital, Kumamoto, Japan
| | | | - Evgeny Pokushalov
- State Research Institute of Circulation Pathology, Novosibirsk, Russia
| | | | - Prashanthan Sanders
- Centre for Heart Rhythm Disorders, South Australian Health and Medical Research Institute, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | | | | | - Claudio Tondo
- Cardiac Arrhythmia Research Center, Centro Cardiologico Monzino, IRCCS, Department of Cardiovascular Sciences, University of Milan, Milan, Italy
| | | | - Atul Verma
- Southlake Regional Health Centre, University of Toronto, Toronto, Canada
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20
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2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation: Executive summary. Heart Rhythm 2017; 14:e445-e494. [DOI: 10.1016/j.hrthm.2017.07.009] [Citation(s) in RCA: 89] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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21
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Calkins H, Hindricks G, Cappato R, Kim YH, Saad EB, Aguinaga L, Akar JG, Badhwar V, Brugada J, Camm J, Chen PS, Chen SA, Chung MK, Nielsen JC, Curtis AB, Davies DW, Day JD, d’Avila A, de Groot N(N, Di Biase L, Duytschaever M, Edgerton JR, Ellenbogen KA, Ellinor PT, Ernst S, Fenelon G, Gerstenfeld EP, Haines DE, Haissaguerre M, Helm RH, Hylek E, Jackman WM, Jalife J, Kalman JM, Kautzner J, Kottkamp H, Kuck KH, Kumagai K, Lee R, Lewalter T, Lindsay BD, Macle L, Mansour M, Marchlinski FE, Michaud GF, Nakagawa H, Natale A, Nattel S, Okumura K, Packer D, Pokushalov E, Reynolds MR, Sanders P, Scanavacca M, Schilling R, Tondo C, Tsao HM, Verma A, Wilber DJ, Yamane T. 2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation. Heart Rhythm 2017; 14:e275-e444. [PMID: 28506916 PMCID: PMC6019327 DOI: 10.1016/j.hrthm.2017.05.012] [Citation(s) in RCA: 1370] [Impact Index Per Article: 195.7] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Indexed: 02/07/2023]
Affiliation(s)
- Hugh Calkins
- Johns Hopkins Medical Institutions, Baltimore, MD
| | | | - Riccardo Cappato
- Humanitas Research Hospital, Arrhythmias and Electrophysiology Research Center, Milan, Italy (Dr. Cappato is now with the Department of Biomedical Sciences, Humanitas University, Milan, Italy, and IRCCS, Humanitas Clinical and Research Center, Milan, Italy)
| | | | - Eduardo B. Saad
- Hospital Pro-Cardiaco and Hospital Samaritano, Botafogo, Rio de Janeiro, Brazil
| | | | | | - Vinay Badhwar
- West Virginia University School of Medicine, Morgantown, WV
| | - Josep Brugada
- Cardiovascular Institute, Hospital Clínic, University of Barcelona, Catalonia, Spain
| | - John Camm
- St. George’s University of London, London, United Kingdom
| | | | | | | | | | | | - D. Wyn Davies
- Imperial College Healthcare NHS Trust, London, United Kingdom
| | - John D. Day
- Intermountain Medical Center Heart Institute, Salt Lake City, UT
| | | | | | - Luigi Di Biase
- Albert Einstein College of Medicine, Montefiore-Einstein Center for Heart & Vascular Care, Bronx, NY
| | | | | | | | | | - Sabine Ernst
- Royal Brompton and Harefield NHS Foundation Trust, National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Guilherme Fenelon
- Albert Einstein Jewish Hospital, Federal University of São Paulo, São Paulo, Brazil
| | | | | | | | | | - Elaine Hylek
- Boston University School of Medicine, Boston, MA
| | - Warren M. Jackman
- Heart Rhythm Institute, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Jose Jalife
- University of Michigan, Ann Arbor, MI, the National Center for Cardiovascular Research Carlos III (CNIC) and CIBERCV, Madrid, Spain
| | - Jonathan M. Kalman
- Royal Melbourne Hospital and University of Melbourne, Melbourne, Australia
| | - Josef Kautzner
- Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Hans Kottkamp
- Hirslanden Hospital, Department of Electrophysiology, Zurich, Switzerland
| | | | | | - Richard Lee
- Saint Louis University Medical School, St. Louis, MO
| | - Thorsten Lewalter
- Department of Cardiology and Intensive Care, Hospital Munich-Thalkirchen, Munich, Germany
| | | | - Laurent Macle
- Montreal Heart Institute, Department of Medicine, Université de Montréal, Montréal, Canada
| | | | - Francis E. Marchlinski
- Hospital of the University of Pennsylvania, University of Pennsylvania School of Medicine, Philadelphia, PA
| | | | - Hiroshi Nakagawa
- Heart Rhythm Institute, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Andrea Natale
- Texas Cardiac Arrhythmia Institute, St. David’s Medical Center, Austin, TX
| | - Stanley Nattel
- Montreal Heart Institute and Université de Montréal, Montreal, Canada, McGill University, Montreal, Canada, and University Duisburg-Essen, Essen, Germany
| | - Ken Okumura
- Division of Cardiology, Saiseikai Kumamoto Hospital, Kumamoto, Japan
| | | | - Evgeny Pokushalov
- State Research Institute of Circulation Pathology, Novosibirsk, Russia
| | | | - Prashanthan Sanders
- Centre for Heart Rhythm Disorders, South Australian Health and Medical Research Institute, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | | | | | - Claudio Tondo
- Cardiac Arrhythmia Research Center, Centro Cardiologico Monzino, IRCCS, Department of Cardiovascular Sciences, University of Milan, Milan, Italy
| | | | - Atul Verma
- Southlake Regional Health Centre, University of Toronto, Toronto, Canada
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22
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Jacquemet V. A statistical model of false negative and false positive detection of phase singularities. CHAOS (WOODBURY, N.Y.) 2017; 27:103124. [PMID: 29092458 DOI: 10.1063/1.4999939] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
The complexity of cardiac fibrillation dynamics can be assessed by analyzing the distribution of phase singularities (PSs) observed using mapping systems. Interelectrode distance, however, limits the accuracy of PS detection. To investigate in a theoretical framework the PS false negative and false positive rates in relation to the characteristics of the mapping system and fibrillation dynamics, we propose a statistical model of phase maps with controllable number and locations of PSs. In this model, phase maps are generated from randomly distributed PSs with physiologically-plausible directions of rotation. Noise and distortion of the phase are added. PSs are detected using topological charge contour integrals on regular grids of varying resolutions. Over 100 × 106 realizations of the random field process are used to estimate average false negative and false positive rates using a Monte-Carlo approach. The false detection rates are shown to depend on the average distance between neighboring PSs expressed in units of interelectrode distance, following approximately a power law with exponents in the range of 1.14 to 2 for false negatives and around 2.8 for false positives. In the presence of noise or distortion of phase, false detection rates at high resolution tend to a non-zero noise-dependent lower bound. This model provides an easy-to-implement tool for benchmarking PS detection algorithms over a broad range of configurations with multiple PSs.
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Affiliation(s)
- Vincent Jacquemet
- Département de Pharmacologie et Physiologie, Institut de Génie Biomédical, Université de Montréal, Montréal, Québec H4J 1C5, Canada
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23
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Calkins H, Hindricks G, Cappato R, Kim YH, Saad EB, Aguinaga L, Akar JG, Badhwar V, Brugada J, Camm J, Chen PS, Chen SA, Chung MK, Nielsen JC, Curtis AB, Davies DW, Day JD, d'Avila A, de Groot NMSN, Di Biase L, Duytschaever M, Edgerton JR, Ellenbogen KA, Ellinor PT, Ernst S, Fenelon G, Gerstenfeld EP, Haines DE, Haissaguerre M, Helm RH, Hylek E, Jackman WM, Jalife J, Kalman JM, Kautzner J, Kottkamp H, Kuck KH, Kumagai K, Lee R, Lewalter T, Lindsay BD, Macle L, Mansour M, Marchlinski FE, Michaud GF, Nakagawa H, Natale A, Nattel S, Okumura K, Packer D, Pokushalov E, Reynolds MR, Sanders P, Scanavacca M, Schilling R, Tondo C, Tsao HM, Verma A, Wilber DJ, Yamane T. 2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation: Executive summary. J Arrhythm 2017; 33:369-409. [PMID: 29021841 PMCID: PMC5634725 DOI: 10.1016/j.joa.2017.08.001] [Citation(s) in RCA: 182] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Key Words
- AAD, antiarrhythmic drug
- AF, atrial fibrillation
- AFL, atrial flutter
- Ablation
- Anticoagulation
- Arrhythmia
- Atrial fibrillation
- Atrial flutter
- Atrial tachycardia
- CB, cryoballoon
- CFAE, complex fractionated atrial electrogram
- Catheter ablation
- LA, left atrial
- LAA, left atrial appendage
- LGE, late gadolinium-enhanced
- LOE, level of evidence
- MRI, magnetic resonance imaging
- OAC, oral anticoagulation
- RF, radiofrequency
- Stroke
- Surgical ablation
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Affiliation(s)
- Hugh Calkins
- Johns Hopkins Medical Institutions, Baltimore, MD
| | | | - Riccardo Cappato
- Humanitas Research Hospital, Arrhythmias and Electrophysiology Research Center, Milan, Italy.,Department of Biomedical Sciences, Humanitas University, Milan, Italy.,IRCCS, Humanitas Clinical and Research Center, Milan, Italy
| | | | - Eduardo B Saad
- Hospital Pro-Cardiaco and Hospital Samaritano, Botafogo, Rio de Janeiro, Brazil
| | | | | | - Vinay Badhwar
- West Virginia University School of Medicine, Morgantown, WV
| | - Josep Brugada
- Cardiovascular Institute, Hospital Clínic, University of Barcelona, Catalonia, Spain
| | - John Camm
- St. George's University of London, London, United Kingdom
| | | | | | | | | | | | - D Wyn Davies
- Imperial College Healthcare NHS Trust, London, United Kingdom
| | - John D Day
- Intermountain Medical Center Heart Institute, Salt Lake City, UT
| | | | | | - Luigi Di Biase
- Albert Einstein College of Medicine, Montefiore-Einstein Center for Heart & Vascular Care, Bronx, NY
| | | | | | | | | | - Sabine Ernst
- Royal Brompton and Harefield NHS Foundation Trust, National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Guilherme Fenelon
- Albert Einstein Jewish Hospital, Federal University of São Paulo, São Paulo, Brazil
| | | | | | | | | | - Elaine Hylek
- Boston University School of Medicine, Boston, MA
| | - Warren M Jackman
- Heart Rhythm Institute, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Jose Jalife
- University of Michigan, Ann Arbor, MI, the National Center for Cardiovascular Research Carlos III (CNIC) and CIBERCV, Madrid, Spain
| | - Jonathan M Kalman
- Royal Melbourne Hospital and University of Melbourne, Melbourne, Australia
| | - Josef Kautzner
- Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Hans Kottkamp
- Hirslanden Hospital, Department of Electrophysiology, Zurich, Switzerland
| | | | | | - Richard Lee
- Saint Louis University Medical School, St. Louis, MO
| | - Thorsten Lewalter
- Department of Cardiology and Intensive Care, Hospital Munich-Thalkirchen, Munich, Germany
| | | | - Laurent Macle
- Montreal Heart Institute, Department of Medicine, Université de Montréal, Montréal, Canada
| | | | - Francis E Marchlinski
- Hospital of the University of Pennsylvania, University of Pennsylvania School of Medicine, Philadelphia, PA
| | | | - Hiroshi Nakagawa
- Heart Rhythm Institute, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Andrea Natale
- Texas Cardiac Arrhythmia Institute, St. David's Medical Center, Austin, TX
| | - Stanley Nattel
- Montreal Heart Institute and Université de Montréal, Montreal, Canada, McGill University, Montreal, Canada, and University Duisburg-Essen, Essen, Germany
| | - Ken Okumura
- Division of Cardiology, Saiseikai Kumamoto Hospital, Kumamoto, Japan
| | | | - Evgeny Pokushalov
- State Research Institute of Circulation Pathology, Novosibirsk, Russia
| | | | - Prashanthan Sanders
- Centre for Heart Rhythm Disorders, South Australian Health and Medical Research Institute, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | | | | | - Claudio Tondo
- Cardiac Arrhythmia Research Center, Centro Cardiologico Monzino, IRCCS, Department of Cardiovascular Sciences, University of Milan, Milan, Italy
| | | | - Atul Verma
- Southlake Regional Health Centre, University of Toronto, Toronto, Canada
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24
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You MJ, Langfield P, Campanari L, Dobbs M, Shrier A, Glass L. Demonstration of cardiac rotor and source mapping techniques in embryonic chick monolayers. CHAOS (WOODBURY, N.Y.) 2017; 27:093938. [PMID: 28964155 DOI: 10.1063/1.5001459] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Excitable media, such as the heart, display propagating waves with different geometries including target patterns and rotors (spiral waves). Collision of two waves leads to annihilation of both. We present algorithms for data processing and analysis to identify the core of rotors. In this work, we show that as the spatial sampling resolution decreases it becomes increasingly difficult to identify rotors-there are instances of false negatives and false positives. These observations are relevant to current controversies concerning the role of rotors in the initiation, maintenance, and treatment of cardiac arrhythmias, especially atrial fibrillation. Currently some practitioners target the core of rotors for ablation, but the effectiveness of this procedure has been questioned. In view of the difficulties inherent in the identification of rotors, we conclude that methods to identify rotors need to first be validated prior to assessing the efficacy of ablation.
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Affiliation(s)
- Min Ju You
- Department of Physiology, McGill University, 3655 Promenade Sir William Osler, Montreal, Quebec H3G 1Y6, Canada
| | - Peter Langfield
- Department of Physiology, McGill University, 3655 Promenade Sir William Osler, Montreal, Quebec H3G 1Y6, Canada
| | - Lucas Campanari
- Department of Physiology, McGill University, 3655 Promenade Sir William Osler, Montreal, Quebec H3G 1Y6, Canada
| | - Matt Dobbs
- Department of Physics and McGill Space Institute, McGill University, Montreal, Quebec H3A 2T8, Canada
| | - Alvin Shrier
- Department of Physiology, McGill University, 3655 Promenade Sir William Osler, Montreal, Quebec H3G 1Y6, Canada
| | - Leon Glass
- Department of Physiology, McGill University, 3655 Promenade Sir William Osler, Montreal, Quebec H3G 1Y6, Canada
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25
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Shariat MH, Gazor S, Redfearn DP. Bipolar Intracardiac Electrogram Active Interval Extraction During Atrial Fibrillation. IEEE Trans Biomed Eng 2017; 64:2122-2133. [DOI: 10.1109/tbme.2016.2630604] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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26
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WITHDRAWN: 2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation. J Arrhythm 2017. [DOI: 10.1016/j.joa.2017.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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27
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Roney CH, Cantwell CD, Bayer JD, Qureshi NA, Lim PB, Tweedy JH, Kanagaratnam P, Peters NS, Vigmond EJ, Ng FS. Spatial Resolution Requirements for Accurate Identification of Drivers of Atrial Fibrillation. Circ Arrhythm Electrophysiol 2017; 10:e004899. [PMID: 28500175 PMCID: PMC5434962 DOI: 10.1161/circep.116.004899] [Citation(s) in RCA: 85] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Accepted: 04/11/2017] [Indexed: 11/25/2022]
Abstract
Supplemental Digital Content is available in the text. Background— Recent studies have demonstrated conflicting mechanisms underlying atrial fibrillation (AF), with the spatial resolution of data often cited as a potential reason for the disagreement. The purpose of this study was to investigate whether the variation in spatial resolution of mapping may lead to misinterpretation of the underlying mechanism in persistent AF. Methods and Results— Simulations of rotors and focal sources were performed to estimate the minimum number of recording points required to correctly identify the underlying AF mechanism. The effects of different data types (action potentials and unipolar or bipolar electrograms) and rotor stability on resolution requirements were investigated. We also determined the ability of clinically used endocardial catheters to identify AF mechanisms using clinically recorded and simulated data. The spatial resolution required for correct identification of rotors and focal sources is a linear function of spatial wavelength (the distance between wavefronts) of the arrhythmia. Rotor localization errors are larger for electrogram data than for action potential data. Stationary rotors are more reliably identified compared with meandering trajectories, for any given spatial resolution. All clinical high-resolution multipolar catheters are of sufficient resolution to accurately detect and track rotors when placed over the rotor core although the low-resolution basket catheter is prone to false detections and may incorrectly identify rotors that are not present. Conclusions— The spatial resolution of AF data can significantly affect the interpretation of the underlying AF mechanism. Therefore, the interpretation of human AF data must be taken in the context of the spatial resolution of the recordings.
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Affiliation(s)
- Caroline H Roney
- From the ElectroCardioMaths Programme (C.H.R., C.D.C., N.A.Q., P.B.L., P.K., N.S.P., F.S.N.), and the Department of Bioengineering (J.H.T.), Imperial College London, United Kingdom; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France (J.D.B., E.J.V.); and Université de Bordeaux, IMB, UMR 5251, Talence, France (J.D.B., E.J.V.)
| | - Chris D Cantwell
- From the ElectroCardioMaths Programme (C.H.R., C.D.C., N.A.Q., P.B.L., P.K., N.S.P., F.S.N.), and the Department of Bioengineering (J.H.T.), Imperial College London, United Kingdom; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France (J.D.B., E.J.V.); and Université de Bordeaux, IMB, UMR 5251, Talence, France (J.D.B., E.J.V.)
| | - Jason D Bayer
- From the ElectroCardioMaths Programme (C.H.R., C.D.C., N.A.Q., P.B.L., P.K., N.S.P., F.S.N.), and the Department of Bioengineering (J.H.T.), Imperial College London, United Kingdom; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France (J.D.B., E.J.V.); and Université de Bordeaux, IMB, UMR 5251, Talence, France (J.D.B., E.J.V.)
| | - Norman A Qureshi
- From the ElectroCardioMaths Programme (C.H.R., C.D.C., N.A.Q., P.B.L., P.K., N.S.P., F.S.N.), and the Department of Bioengineering (J.H.T.), Imperial College London, United Kingdom; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France (J.D.B., E.J.V.); and Université de Bordeaux, IMB, UMR 5251, Talence, France (J.D.B., E.J.V.)
| | - Phang Boon Lim
- From the ElectroCardioMaths Programme (C.H.R., C.D.C., N.A.Q., P.B.L., P.K., N.S.P., F.S.N.), and the Department of Bioengineering (J.H.T.), Imperial College London, United Kingdom; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France (J.D.B., E.J.V.); and Université de Bordeaux, IMB, UMR 5251, Talence, France (J.D.B., E.J.V.)
| | - Jennifer H Tweedy
- From the ElectroCardioMaths Programme (C.H.R., C.D.C., N.A.Q., P.B.L., P.K., N.S.P., F.S.N.), and the Department of Bioengineering (J.H.T.), Imperial College London, United Kingdom; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France (J.D.B., E.J.V.); and Université de Bordeaux, IMB, UMR 5251, Talence, France (J.D.B., E.J.V.)
| | - Prapa Kanagaratnam
- From the ElectroCardioMaths Programme (C.H.R., C.D.C., N.A.Q., P.B.L., P.K., N.S.P., F.S.N.), and the Department of Bioengineering (J.H.T.), Imperial College London, United Kingdom; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France (J.D.B., E.J.V.); and Université de Bordeaux, IMB, UMR 5251, Talence, France (J.D.B., E.J.V.)
| | - Nicholas S Peters
- From the ElectroCardioMaths Programme (C.H.R., C.D.C., N.A.Q., P.B.L., P.K., N.S.P., F.S.N.), and the Department of Bioengineering (J.H.T.), Imperial College London, United Kingdom; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France (J.D.B., E.J.V.); and Université de Bordeaux, IMB, UMR 5251, Talence, France (J.D.B., E.J.V.).
| | - Edward J Vigmond
- From the ElectroCardioMaths Programme (C.H.R., C.D.C., N.A.Q., P.B.L., P.K., N.S.P., F.S.N.), and the Department of Bioengineering (J.H.T.), Imperial College London, United Kingdom; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France (J.D.B., E.J.V.); and Université de Bordeaux, IMB, UMR 5251, Talence, France (J.D.B., E.J.V.)
| | - Fu Siong Ng
- From the ElectroCardioMaths Programme (C.H.R., C.D.C., N.A.Q., P.B.L., P.K., N.S.P., F.S.N.), and the Department of Bioengineering (J.H.T.), Imperial College London, United Kingdom; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France (J.D.B., E.J.V.); and Université de Bordeaux, IMB, UMR 5251, Talence, France (J.D.B., E.J.V.)
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28
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Abstract
Objectives The objective of this study was to evaluate the spatio-temporal organization and progression of human ventricular fibrillation (VF) in the left (LV) and right (RV) ventricles. Background Studies suggest that localized sources contribute to VF maintenance, but the evolution of VF episodes has not been quantified. Methods Synchrony between electrograms recorded from 25 patients with induced VF is computed and used to define the Asynchronous Index (ASI), indicating regions which are out-of-step with surrounding tissue. Computer simulations show that ASI can identify the location of VF-maintaining sources, where larger values of ASImax correlate with more stable sources. Results Automated synchrony analysis shows elevated values of ASI in a majority of self-terminating episodes (LV: 8/9, RV: 7/8) and sustained episodes (LV: 11/11, RV: 12/12). The locations of ASImax in sustained episodes co-localize with rotor cores when rotational activity is simultaneously present in phase maps (LV: 8/8, RV: 5/7, p<.05). The distribution of ASImax differentiates self-terminating from sustained episodes (mean ASImax = 0.60±0.14 and 0.70±0.16, respectively; p=0.01). Across sustained episodes the LV exhibits an increase in ASImax with time. Conclusions Quantitative analysis identifies localized asynchronous regions that correlate with sources in VF, with sustained episodes evolving to exhibit more stable activation in the LV. This successive increase in stability indicates a stabilizing agent may be responsible for perpetuating fibrillation in a "migrate-and-capture" mechanism in the LV.
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29
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Du P, O'Grady G, Cheng LK. A theoretical analysis of anatomical and functional intestinal slow wave re-entry. J Theor Biol 2017; 425:72-79. [DOI: 10.1016/j.jtbi.2017.04.021] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Revised: 04/19/2017] [Accepted: 04/21/2017] [Indexed: 12/26/2022]
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30
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Basket-Type Catheters: Diagnostic Pitfalls Caused by Deformation and Limited Coverage. BIOMED RESEARCH INTERNATIONAL 2016; 2016:5340574. [PMID: 28070511 PMCID: PMC5187596 DOI: 10.1155/2016/5340574] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2016] [Accepted: 10/27/2016] [Indexed: 11/17/2022]
Abstract
Whole-chamber mapping using a 64-pole basket catheter (BC) has become a featured approach for the analysis of excitation patterns during atrial fibrillation. A flexible catheter design avoids perforation but may lead to spline bunching and influence coverage. We aim to quantify the catheter deformation and endocardial coverage in clinical situations and study the effect of catheter size and electrode arrangement using an in silico basket model. Atrial coverage and spline separation were evaluated quantitatively in an ensemble of clinical measurements. A computational model of the BC was implemented including an algorithm to adapt its shape to the atrial anatomy. Two clinically relevant mapping positions in each atrium were assessed in both clinical and simulated data. The simulation environment allowed varying both BC size and electrode arrangement. Results showed that interspline distances of more than 20 mm are common, leading to a coverage of less than 50% of the left atrial (LA) surface. In an ideal in silico scenario with variable catheter designs, a maximum coverage of 65% could be reached. As spline bunching and insufficient coverage can hardly be avoided, this has to be taken into account for interpretation of excitation patterns and development of new panoramic mapping techniques.
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31
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Vidmar D, Narayan SM, Krummen DE, Rappel WJ. Determining conduction patterns on a sparse electrode grid: Implications for the analysis of clinical arrhythmias. Phys Rev E 2016; 94:050401. [PMID: 27967050 PMCID: PMC5161037 DOI: 10.1103/physreve.94.050401] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Indexed: 11/07/2022]
Abstract
We present a general method of utilizing bioelectric recordings from a spatially sparse electrode grid to compute a dynamic vector field describing the underlying propagation of electrical activity. This vector field, termed the wave-front flow field, permits quantitative analysis of the magnitude of rotational activity (vorticity) and focal activity (divergence) at each spatial point. We apply this method to signals recorded during arrhythmias in human atria and ventricles using a multipolar contact catheter and show that the flow fields correlate with corresponding activation maps. Further, regions of elevated vorticity and divergence correspond to sites identified as clinically significant rotors and focal sources where therapeutic intervention can be effective. These flow fields can provide quantitative insights into the dynamics of normal and abnormal conduction in humans and could potentially be used to enhance therapies for cardiac arrhythmias.
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Affiliation(s)
- David Vidmar
- Department of Physics, University of California, San Diego, La Jolla, California 92093, USA
| | - Sanjiv M Narayan
- Department of Cardiovascular Medicine, Stanford University, Palo Alto, California 94305, USA
| | - David E Krummen
- Department of Medicine, University of California, San Diego, La Jolla, California 92093, USA and the Veterans Administration San Diego Healthcare System, San Diego, California 92161, USA
| | - Wouter-Jan Rappel
- Department of Physics, University of California, San Diego, La Jolla, California 92903, USA
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32
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Grandi E, Maleckar MM. Anti-arrhythmic strategies for atrial fibrillation: The role of computational modeling in discovery, development, and optimization. Pharmacol Ther 2016; 168:126-142. [PMID: 27612549 DOI: 10.1016/j.pharmthera.2016.09.012] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Atrial fibrillation (AF), the most common cardiac arrhythmia, is associated with increased risk of cerebrovascular stroke, and with several other pathologies, including heart failure. Current therapies for AF are targeted at reducing risk of stroke (anticoagulation) and tachycardia-induced cardiomyopathy (rate or rhythm control). Rate control, typically achieved by atrioventricular nodal blocking drugs, is often insufficient to alleviate symptoms. Rhythm control approaches include antiarrhythmic drugs, electrical cardioversion, and ablation strategies. Here, we offer several examples of how computational modeling can provide a quantitative framework for integrating multiscale data to: (a) gain insight into multiscale mechanisms of AF; (b) identify and test pharmacological and electrical therapy and interventions; and (c) support clinical decisions. We review how modeling approaches have evolved and contributed to the research pipeline and preclinical development and discuss future directions and challenges in the field.
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Affiliation(s)
- Eleonora Grandi
- Department of Pharmacology, University of California Davis, Davis, USA.
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33
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Shariat MH, Gazor S, Redfearn D. Maximum likelihood cardiac conduction velocity estimation from sequential mapping in the presence of activation time noise with unknown variances. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2016; 2016:2745-2748. [PMID: 28268887 DOI: 10.1109/embc.2016.7591298] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
The cardiac conduction velocity (CV) can be estimated by analysing the activation times (ATs) and the locations of the electrodes that are used for the intracardiac electrogram (IEGM) recording. Here, we study the problem of the CV estimation in sequential mapping without using any independent electrogram as a time alignment reference. We assume that the IEGMs are sequentially recorded from several sites, where at each site, at least two of the catheter's electrodes are in contact with the cardiac tissue. We consider the planar wavefront with stable CV that propagates within the recording sites throughout our data collection period. Assuming the zero-mean Gaussian AT estimation error, we derive the maximum likelihood estimations of the CV and AT at a desired location on the cardiac shell. The CV is estimated when the variance of the AT estimation error and the time delay between the sequential recordings are unknown variables. Our simulation results show that the proposed method can precisely estimate the CV of the planar wavefront.
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34
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Shariat MH, Gazor S, Redfearn D. Cardiac conduction velocity estimation from sequential mapping assuming known Gaussian distribution for activation time estimation error. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2016; 2016:505-508. [PMID: 28268381 DOI: 10.1109/embc.2016.7590750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
In this paper, we study the problem of the cardiac conduction velocity (CCV) estimation for the sequential intracardiac mapping. We assume that the intracardiac electrograms of several cardiac sites are sequentially recorded, their activation times (ATs) are extracted, and the corresponding wavefronts are specified. The locations of the mapping catheter's electrodes and the ATs of the wavefronts are used here for the CCV estimation. We assume that the extracted ATs include some estimation errors, which we model with zero-mean white Gaussian noise values with known variances. Assuming stable planar wavefront propagation, we derive the maximum likelihood CCV estimator, when the synchronization times between various recording sites are unknown. We analytically evaluate the performance of the CCV estimator and provide its mean square estimation error. Our simulation results confirm the accuracy of the proposed method and the error analysis of the proposed CCV estimator.
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Lalani GG, Coysh T, Baykaner T, Zaman J, Hopper K, Schricker AA, Trikha R, Clopton P, Krummen DE, Narayan SM. Organized Sources Are Spatially Conserved in Recurrent Compared to Pre-Ablation Atrial Fibrillation: Further Evidence for Non-Random Electrical Substrates. J Cardiovasc Electrophysiol 2016; 27:661-9. [PMID: 26918971 PMCID: PMC5515372 DOI: 10.1111/jce.12964] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Revised: 02/02/2016] [Accepted: 02/15/2016] [Indexed: 12/23/2022]
Abstract
INTRODUCTION Recurrent atrial fibrillation (AF) after ablation is associated with reconnection of initially isolated pulmonary vein (PV) trigger sites. Substrates are often targeted in addition to PVI, but it is unclear how substrates progress over time. We studied if substrates in recurrent AF are conserved or have developed de novo from pre-ablation AF. METHODS AND RESULTS Of 137 patients undergoing Focal Impulse and Rotor Mapping (FIRM) at their index procedure for AF, 29 consecutive patients (60 ± 8 years, 79% persistent) recurred and were also mapped at repeat procedure (21 ± 20 months later) using carefully placed 64-pole baskets and RhythmView(TM) (Topera, Menlo Park, CA, USA) to identify AF sources and disorganized zones. Compared to index AF, recurrent AF had a longer cycle length (177 ± 21 vs. 167 ± 19 milliseconds, P = 0.01). All patients (100%) had 1 or more conserved AF rotors between procedures with surrounding disorganization. The number of sources was similar for recurrent AF post-PVI versus index AF (3.2 ± 1.4 vs. 3.1 ± 1.0, P = 0.79), but was lower for recurrent AF after FIRM+PVI versus index AF (4.4 ± 1.4 vs. 2.9 ± 1.7, P = 0.03). Overall, 81% (61/75) of AF sources lay in conserved regions, while 19% (14/75) were detected de novo. CONCLUSION Electrical propagation patterns for recurrent AF after unsuccessful ablation are similar in individual patients to their index AF. These data support temporospatial stability of AF substrates over 1-2 years. Trials should determine the relative benefit of adding substrate mapping and ablation to PVI for recurrent AF.
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Affiliation(s)
| | | | - Tina Baykaner
- University of California Medical Center, San Diego, California, USA
- Stanford University, Palo Alto, California, USA
| | | | - Kenneth Hopper
- Veterans’ Affairs Medical Center, San Diego, California, USA
| | | | - Rishi Trikha
- University of California Medical Center, San Diego, California, USA
| | - Paul Clopton
- University of California Medical Center, San Diego, California, USA
| | - David E. Krummen
- University of California Medical Center, San Diego, California, USA
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Quintanilla JG, Pérez-Villacastín J, Pérez-Castellano N, Pandit SV, Berenfeld O, Jalife J, Filgueiras-Rama D. Mechanistic Approaches to Detect, Target, and Ablate the Drivers of Atrial Fibrillation. Circ Arrhythm Electrophysiol 2016; 9:e002481. [PMID: 26729850 DOI: 10.1161/circep.115.002481] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Jorge G Quintanilla
- From the Advanced Development in Arrhythmia Mechanisms and Therapy Laboratory, Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain (J.G.Q., J.J., D.F.R.); Arrhythmia Unit, Cardiovascular Institute, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain (J.G.Q., J.P.V., N.P.C, D.F.R.); and Center for Arrhythmia Research, Department of Internal Medicine-Cardiology, University of Michigan, Ann Arbor (S.V.P., O.B., J.J.)
| | - Julián Pérez-Villacastín
- From the Advanced Development in Arrhythmia Mechanisms and Therapy Laboratory, Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain (J.G.Q., J.J., D.F.R.); Arrhythmia Unit, Cardiovascular Institute, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain (J.G.Q., J.P.V., N.P.C, D.F.R.); and Center for Arrhythmia Research, Department of Internal Medicine-Cardiology, University of Michigan, Ann Arbor (S.V.P., O.B., J.J.)
| | - Nicasio Pérez-Castellano
- From the Advanced Development in Arrhythmia Mechanisms and Therapy Laboratory, Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain (J.G.Q., J.J., D.F.R.); Arrhythmia Unit, Cardiovascular Institute, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain (J.G.Q., J.P.V., N.P.C, D.F.R.); and Center for Arrhythmia Research, Department of Internal Medicine-Cardiology, University of Michigan, Ann Arbor (S.V.P., O.B., J.J.)
| | - Sandeep V Pandit
- From the Advanced Development in Arrhythmia Mechanisms and Therapy Laboratory, Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain (J.G.Q., J.J., D.F.R.); Arrhythmia Unit, Cardiovascular Institute, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain (J.G.Q., J.P.V., N.P.C, D.F.R.); and Center for Arrhythmia Research, Department of Internal Medicine-Cardiology, University of Michigan, Ann Arbor (S.V.P., O.B., J.J.)
| | - Omer Berenfeld
- From the Advanced Development in Arrhythmia Mechanisms and Therapy Laboratory, Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain (J.G.Q., J.J., D.F.R.); Arrhythmia Unit, Cardiovascular Institute, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain (J.G.Q., J.P.V., N.P.C, D.F.R.); and Center for Arrhythmia Research, Department of Internal Medicine-Cardiology, University of Michigan, Ann Arbor (S.V.P., O.B., J.J.)
| | - José Jalife
- From the Advanced Development in Arrhythmia Mechanisms and Therapy Laboratory, Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain (J.G.Q., J.J., D.F.R.); Arrhythmia Unit, Cardiovascular Institute, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain (J.G.Q., J.P.V., N.P.C, D.F.R.); and Center for Arrhythmia Research, Department of Internal Medicine-Cardiology, University of Michigan, Ann Arbor (S.V.P., O.B., J.J.).
| | - David Filgueiras-Rama
- From the Advanced Development in Arrhythmia Mechanisms and Therapy Laboratory, Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain (J.G.Q., J.J., D.F.R.); Arrhythmia Unit, Cardiovascular Institute, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain (J.G.Q., J.P.V., N.P.C, D.F.R.); and Center for Arrhythmia Research, Department of Internal Medicine-Cardiology, University of Michigan, Ann Arbor (S.V.P., O.B., J.J.)
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Krummen DE, Ho G, Villongco CT, Hayase J, Schricker AA. Ventricular fibrillation: triggers, mechanisms and therapies. Future Cardiol 2016; 12:373-90. [PMID: 27120223 DOI: 10.2217/fca-2016-0001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Ventricular fibrillation (VF) is a common, life-threatening arrhythmia responsible for significant morbidity and mortality. Due to challenges in safely mapping VF, a comprehensive understanding of its mechanisms remains elusive. Recent findings have provided new insights into mechanisms that sustain early VF. Notably, the central role of electrical rotors and catheter-based ablation of VF rotor substrate have been recently reported. In this article, we will review data regarding four stages of VF: initiation, transition, maintenance and evolution. We will discuss the particular mechanisms for each stage and therapies targeting these mechanisms. We also examine inherited arrhythmia syndromes, including the mechanisms and therapies specific to each. We hope that the overview of VF outlined in this work will assist other investigators in designing future therapies to interrupt this life-threatening arrhythmia.
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Affiliation(s)
- David E Krummen
- Department of Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.,Department of Medicine, VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, USA
| | - Gordon Ho
- Department of Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.,Department of Medicine, VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, USA
| | - Christopher T Villongco
- Department of Bioengineering, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Justin Hayase
- Department of Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.,Department of Medicine, VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, USA
| | - Amir A Schricker
- Department of Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.,Department of Medicine, VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, USA
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38
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Hummel JD. Atrial Mapping With Basket Catheters: A Basket Case? JACC Clin Electrophysiol 2016; 2:66-68. [PMID: 29766855 DOI: 10.1016/j.jacep.2015.12.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2015] [Accepted: 12/27/2015] [Indexed: 11/26/2022]
Affiliation(s)
- John D Hummel
- Section of Clinical Cardiac Electrophysiology, Division of Cardiology, Department of Internal Medicine, Wexner Medical Center at The Ohio State University, Columbus, Ohio, USA.
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Walters TE, Lee G, Spence S, Kalman JM. The effect of electrode density on the interpretation of atrial activation patterns in epicardial mapping of human persistent atrial fibrillation. Heart Rhythm 2016; 13:1215-20. [PMID: 26829116 DOI: 10.1016/j.hrthm.2016.01.030] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2015] [Indexed: 11/29/2022]
Abstract
BACKGROUND Mechanisms sustaining human persistent atrial fibrillation (AF) remain debated, with significant differences between high-density epicardial and global endocardial mapping studies. A key difference is the density of recording electrodes. OBJECTIVE We aimed to determine the differences in the prevalence of different atrial activation patterns, and specifically in the prevalence of rotational activations, with varying densities of bipolar electrodes. METHODS Epicardial mapping was performed in 10 patients undergoing cardiac surgery, with bipolar electrograms recorded using a triangular plaque (6.75 cm(2) area; 117 bipoles; 2.5-mm inter-bipole spacing) applied to the left atrial posterior wall or right atrial free wall. Dynamic wavefront mapping based on the timing of atrial electrograms was applied to 2 discrete 10-second AF segments. The spacing between bipolar electrode locations was increased from 2.5 × 3.5 mm in the horizontal and oblique directions to 5.0 × 3.5, 5.0 × 7.1, and 7.5 × 10.6 mm, with wavefront mapping repeated at each density. RESULTS As density reduced, there was a significant change in relative proportions of the various activation patterns (F=3.69; P < .001). Simple broad wavefront activations became more prevalent (20% ± 8% to 54% ± 8%; P < .05) and complex patterns became less prevalent (48% ± 8% to 9% ± 8%; P < .05) with reducing density. The prevalence of rotational activity declined with bipole density, from median 5.0% (range 0.9%-12.1%) to 0% (range 0%-1.5%) (P = .03). The largest change occurred between inter-bipole spacings of 5.0 × 3.5 and 5.0 × 7.1 mm. CONCLUSION Apparent activation patterns in persistent AF vary significantly with electrode density. Low density underestimates the prevalence of complex and rotational patterns. The largest difference occurs between an inter-bipole spacing of 5.0 × 3.5 and a spacing of 5.0 × 7.1 mm. This may have important implications for mapping technology design.
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Affiliation(s)
- Tomos E Walters
- Department of Cardiology, Royal Melbourne Hospital, Melbourne, Australia; Department of Medicine, University of Melbourne, Melbourne, Australia
| | - Geoffrey Lee
- Department of Cardiology, Royal Melbourne Hospital, Melbourne, Australia; Department of Medicine, University of Melbourne, Melbourne, Australia
| | - Steven Spence
- Department of Cardiology, Royal Melbourne Hospital, Melbourne, Australia
| | - Jonathan M Kalman
- Department of Cardiology, Royal Melbourne Hospital, Melbourne, Australia; Department of Medicine, University of Melbourne, Melbourne, Australia.
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Vidmar D, Narayan SM, Rappel WJ. Phase synchrony reveals organization in human atrial fibrillation. Am J Physiol Heart Circ Physiol 2015; 309:H2118-26. [PMID: 26475585 PMCID: PMC4698428 DOI: 10.1152/ajpheart.00407.2015] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2015] [Accepted: 10/12/2015] [Indexed: 11/22/2022]
Abstract
It remains unclear if human atrial fibrillation (AF) is spatially nonhierarchical or exhibits a hierarchy of organization sustained by sources. We utilize activation times obtained at discrete locations during AF to compute the phase synchrony between tissue regions, to examine underlying spatial dynamics throughout both atria. We construct a binary synchronization network and show that this network can accurately define regions of coherence in coarse-grained in silico data. Specifically, domains controlled by spiral waves exhibit regions of high phase synchrony. We then apply this analysis to clinical data from patients experiencing cardiac arrhythmias using multielectrode catheters to simultaneously record from a majority of both atria. We show that pharmaceutical intervention with ibutilide organizes activation by increasing the size of the synchronized domain in AF and quantify the increase in temporal organization when arrhythmia changes from fibrillation to tachycardia. Finally, in recordings from 24 patients in AF we show that the level of synchrony is spatially broad with some patients showing large spatially contiguous regions of synchronization, while in others synchrony is localized to small pockets. Using computer simulations, we show that this distribution is inconsistent with distributions obtained from simulations that mimic multiwavelet reentry but is consistent with mechanisms in which one or more spatially conserved spiral waves is surrounded by tissue in which activation is disorganized.
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Affiliation(s)
- David Vidmar
- Department of Physics, University of California, San Diego, California; and
| | - Sanjiv M Narayan
- Department of Cardiovascular Medicine, Stanford University, Palo Alto, California
| | - Wouter-Jan Rappel
- Department of Physics, University of California, San Diego, California; and
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Rappel WJ, Zaman JAB, Narayan SM. Mechanisms for the Termination of Atrial Fibrillation by Localized Ablation: Computational and Clinical Studies. Circ Arrhythm Electrophysiol 2015; 8:1325-33. [PMID: 26359479 PMCID: PMC4764078 DOI: 10.1161/circep.115.002956] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2015] [Accepted: 08/20/2015] [Indexed: 12/26/2022]
Abstract
BACKGROUND Human atrial fibrillation (AF) can terminate after ablating localized regions, which supports the existence of localized rotors (spiral waves) or focal drivers. However, it is unclear why ablation near a spiral wave tip would terminate AF and not anchor reentry. We addressed this question by analyzing competing mechanisms for AF termination in numeric simulations, referenced to clinical observations. METHODS AND RESULTS Spiral wave reentry was simulated in monodomain 2-dimensional myocyte sheets using clinically realistic rate-dependent values for repolarization and conduction. Heterogeneous models were created by introduction of parameterized variations in tissue excitability. Ablation lesions were applied as nonconducting circular regions. Models confirmed that localized ablation may anchor spiral wave reentry, producing organized tachycardias. Several mechanisms referenced to clinical observations explained termination of AF to sinus rhythm. First, lesions may create an excitable gap vulnerable to invasion by fibrillatory waves. Second, ablation of rotors in regions of low-excitability (from remodeling) produced re-entry in more excitable tissue allowing collision of wavefront and back. Conversely, ablation of rotors in high-excitability regions migrated spiral waves to less excitable tissue, where they detached to collide with nonconducting boundaries. Third, ablation may connect rotors to nonconducting anatomic orifices. Fourth, reentry through slow-conducting channels may terminate if ablation closes these channels. CONCLUSIONS Limited ablation can terminate AF by several mechanisms. These data shed light on how clinical AF may be sustained in patients' atria, emphasizing heterogeneities in tissue excitability, slow-conducting channels, and obstacles that are increasingly detectable in patients and should be the focus of future translational studies.
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Affiliation(s)
- Wouter-Jan Rappel
- From the Department of Physics, University of California, San Diego (W.-J.R.); Department of Cardiology, Imperial College, University of London, London, United Kingdom (J.A.B.Z.); and Department of Medicine, Stanford University, Palo Alto, CA (J.A.B.Z., S.M.N.).
| | - Junaid A B Zaman
- From the Department of Physics, University of California, San Diego (W.-J.R.); Department of Cardiology, Imperial College, University of London, London, United Kingdom (J.A.B.Z.); and Department of Medicine, Stanford University, Palo Alto, CA (J.A.B.Z., S.M.N.)
| | - Sanjiv M Narayan
- From the Department of Physics, University of California, San Diego (W.-J.R.); Department of Cardiology, Imperial College, University of London, London, United Kingdom (J.A.B.Z.); and Department of Medicine, Stanford University, Palo Alto, CA (J.A.B.Z., S.M.N.).
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Laughner J, Shome S, Child N, Shuros A, Neuzil P, Gill J, Wright M. Practical Considerations of Mapping Persistent Atrial Fibrillation With Whole-Chamber Basket Catheters. JACC Clin Electrophysiol 2015; 2:55-65. [PMID: 29766854 DOI: 10.1016/j.jacep.2015.09.017] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Revised: 08/12/2015] [Accepted: 09/01/2015] [Indexed: 10/22/2022]
Abstract
OBJECTIVES This study sought to evaluate basket catheter deployment, catheter-tissue contact, and time-space stability of unipolar atrial electrograms (aEGMs) recorded in persistent atrial fibrillation (AF) patients. BACKGROUND Panoramic mapping of human AF using multiple-electrode basket catheters may identify AF sources. Although clinical results using this technique are provocative, questions remain about its effectiveness. METHODS Data were collected from patients (N = 25) undergoing catheter ablation for AF during the multicenter STARLIGHT (Signal Transfer of Atrial Fibrillation Data to Guide Human Treatment) trial (NCT01765075). Left and right aEGM signals were recorded using basket catheters during baseline AF, following ablation and during sinus rhythm. Data were analyzed for basket deployment, peak-to-peak voltage, and electrogram stability and organization. Electrogram stability and organization were evaluated via time-frequency analysis (TFA). RESULTS Basket catheters displayed equatorial bunching when deployed in atria. Interspline spacing ranged from 1.7 to 64.0 mm in the right atrial and from 1.5 to 85.08 mm in the left atrial basket. Approximately one-third of mapping electrodes failed to demonstrate a median peak-to-peak voltage >2× the low-voltage threshold. Time-space stability and organization was observed in 13 of 22 (59.09%) right atrial and 10 of 22 (45.45%) left atrial baskets. CONCLUSIONS Despite poor deployment and a large number of low-voltage electrodes, stability and organization was observed in about one-half of the mapped patients. Although this study suggests that basket catheters have limitations for patient-specific AF mapping, concordant activation occurs in some persistent AF patients, which may be amenable to high-density mapping techniques.
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Affiliation(s)
| | | | - Nicholas Child
- Kings College London BHF Centre, Cardiovascular Division, NIHR Biomedical Research Centre at Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom
| | | | - Petr Neuzil
- Department of Cardiology, Na Homolce Hospital, Prague, Czech Republic
| | - Jaswinder Gill
- Kings College London BHF Centre, Cardiovascular Division, NIHR Biomedical Research Centre at Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom
| | - Matthew Wright
- Kings College London BHF Centre, Cardiovascular Division, NIHR Biomedical Research Centre at Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom.
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Krummen DE, Hayase J, Vampola SP, Ho G, Schricker AA, Lalani GG, Baykaner T, Coe TM, Clopton P, Rappel WJ, Omens JH, Narayan SM. Modifying Ventricular Fibrillation by Targeted Rotor Substrate Ablation: Proof-of-Concept from Experimental Studies to Clinical VF. J Cardiovasc Electrophysiol 2015; 26:1117-26. [PMID: 26179310 PMCID: PMC4826737 DOI: 10.1111/jce.12753] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2015] [Revised: 05/30/2015] [Accepted: 06/19/2015] [Indexed: 11/27/2022]
Abstract
INTRODUCTION Recent work has suggested a role for organized sources in sustaining ventricular fibrillation (VF). We assessed whether ablation of rotor substrate could modulate VF inducibility in canines, and used this proof-of-concept as a foundation to suppress antiarrhythmic drug-refractory clinical VF in a patient with structural heart disease. METHODS AND RESULTS In 9 dogs, we introduced 64-electrode basket catheters into one or both ventricles, used rapid pacing at a recorded induction threshold to initiate VF, and then defibrillated after 18±8 seconds. Endocardial rotor sites were identified from basket recordings using phase mapping, and ablation was performed at nonrotor (sham) locations (7 ± 2 minutes) and then at rotor sites (8 ± 2 minutes, P = 0.10 vs. sham); the induction threshold was remeasured after each. Sham ablation did not alter canine VF induction threshold (preablation 150 ± 16 milliseconds, postablation 144 ± 16 milliseconds, P = 0.54). However, rotor site ablation rendered VF noninducible in 6/9 animals (P = 0.041), and increased VF induction threshold in the remaining 3. Clinical proof-of-concept was performed in a patient with repetitive ICD shocks due to VF refractory to antiarrhythmic drugs. Following biventricular basket insertion, VF was induced and then defibrillated. Mapping identified 4 rotors localized at borderzone tissue, and rotor site ablation (6.3 ± 1.5 minutes/site) rendered VF noninducible. The VF burden fell from 7 ICD shocks in 8 months preablation to zero ICD therapies at 1 year, without antiarrhythmic medications. CONCLUSIONS Targeted rotor substrate ablation suppressed VF in an experimental model and a patient with refractory VF. Further studies are warranted on the efficacy of VF source modulation.
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Affiliation(s)
- David E Krummen
- Department of Medicine, University of California, San Diego, California, USA
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
| | - Justin Hayase
- Department of Medicine, University of California, San Diego, California, USA
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
| | - Stephen P Vampola
- Department of Medicine, University of California, San Diego, California, USA
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
| | - Gordon Ho
- Department of Medicine, University of California, San Diego, California, USA
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
| | - Amir A Schricker
- Department of Medicine, University of California, San Diego, California, USA
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
| | - Gautam G Lalani
- Department of Medicine, University of California, San Diego, California, USA
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
| | - Tina Baykaner
- Department of Medicine, University of California, San Diego, California, USA
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
| | - Taylor M Coe
- Department of Bioengineering, University of California, San Diego, California, USA
| | - Paul Clopton
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
| | - Wouter-Jan Rappel
- Department of Physics, University of California, San Diego, California, USA
| | - Jeffrey H Omens
- Department of Bioengineering, University of California, San Diego, California, USA
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Walters TE, Kalman JM. Human persistent atrial fibrillation is maintained by rotors: the jury is still out. Circ Arrhythm Electrophysiol 2015; 8:517-9. [PMID: 26082522 DOI: 10.1161/circep.115.003089] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Tomos E Walters
- From the Department of Cardiology, Royal Melbourne Hospital, Melbourne, Victoria, Australia; and Department of Medicine, The University of Melbourne, Melbourne, Australia
| | - Jonathan M Kalman
- From the Department of Cardiology, Royal Melbourne Hospital, Melbourne, Victoria, Australia; and Department of Medicine, The University of Melbourne, Melbourne, Australia.
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45
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Shariat MH, Gazor S, Redfearn D. Computationally efficient method for localizing the spiral rotor source using synthetic intracardiac electrograms during atrial fibrillation. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2015; 2015:4483-4486. [PMID: 26737290 DOI: 10.1109/embc.2015.7319390] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Atrial fibrillation (AF), the most common sustained cardiac arrhythmia, is an extremely costly public health problem. Catheter-based ablation is a common minimally invasive procedure to treat AF. Contemporary mapping methods are highly dependent on the accuracy of anatomic localization of rotor sources within the atria. In this paper, using simulated atrial intracardiac electrograms (IEGMs) during AF, we propose a computationally efficient method for localizing the tip of the electrical rotor with an Archimedean/arithmetic spiral wavefront. The proposed method deploys the locations of electrodes of a catheter and their IEGMs activation times to estimate the unknown parameters of the spiral wavefront including its tip location. The proposed method is able to localize the spiral as soon as the wave hits three electrodes of the catheter. Our simulation results show that the method can efficiently localize the spiral wavefront that rotates either clockwise or counterclockwise.
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46
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Wright M, Narayan SM. Ablation of atrial fibrillation. Trends Cardiovasc Med 2015; 25:409-19. [PMID: 25572010 PMCID: PMC4764083 DOI: 10.1016/j.tcm.2014.11.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2014] [Revised: 11/21/2014] [Accepted: 11/24/2014] [Indexed: 01/08/2023]
Abstract
Ablation is increasingly used to treat AF, since recent trials of pharmacological therapy for AF have been disappointing. Ablation has been shown to improve maintenance of sinus rhythm compared to pharmacological therapy in many multicenter trials, although success rates remain suboptimal. This review will discuss several trends in the field of catheter ablation, including studies to advance our understanding of AF mechanisms in different patient populations, innovations in detecting and classifying AF, use of this information to improve strategies for ablation, technical innovations that have improved the ease and safety of ablation, and novel approaches to surgical therapy and imaging. These trends are likely to further improve results from AF ablation in coming years as it becomes an increasingly important therapeutic option for many patients.
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Affiliation(s)
- Matthew Wright
- BHF Centre of Excellence, London, UK; Division of Imaging Sciences and Biomedical Engineering, King׳s College London, King׳s Health Partners, St. Thomas׳ Hospital, London, UK
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47
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Schricker AA, Zaman J. Role of Rotors in the Ablative Therapy of Persistent Atrial Fibrillation. Arrhythm Electrophysiol Rev 2015; 4:47-52. [PMID: 26835100 DOI: 10.15420/aer.2015.4.1.47] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2015] [Accepted: 03/18/2015] [Indexed: 01/17/2023] Open
Abstract
Atrial fibrillation (AF) ablation is increasingly used to maintain sinus rhythm yet its results are sub-optimal, especially in patients with persistent AF or prior unsuccessful procedures. Attempts at improvement have often targeted substrates that sustain AF after it is triggered, yet those mechanisms are debated. Many studies now challenge the concept that AF is driven by self-sustaining disordered wavelets, showing instead that localised drivers (rotors) may drive disorder via a process known as fibrillatory conduction. Novel mapping using wide-area recordings, physiological filtering and phase analysis demonstrates rotors in human AF. Contact mapping with focal impulse and rotor modulation (FIRM) shows that localised ablation at sources can improve procedural success in many populations on long-term follow up and some newer approaches to rotor mapping are qualitatively similar. This review critically evaluates the data on rotor mapping and ablation, which advances our conceptual understanding of AF and holds the promise of substantially improving ablative outcomes in patients with persistent AF.
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Affiliation(s)
- Amir A Schricker
- Department of Cardiovascular Medicine, University of California San Diego Medical Center, San Diego, US
| | - Junaid Zaman
- Department of Cardiovascular Medicine, Stanford Medicine, Stanford, California, US
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Krummen DE, Hebsur S, Salcedo J, Narayan SM, Lalani GG, Schricker AA. Mechanisms Underlying AF: Triggers, Rotors, Other? CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2015; 17:371. [PMID: 25778423 DOI: 10.1007/s11936-015-0371-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
OPINION STATEMENT There is ongoing debate regarding the precise mechanisms underlying atrial fibrillation (AF). An improved understanding of these mechanisms is urgently needed to improve interventional strategies to suppress and eliminate AF, since the success of current strategies is suboptimal. At present, guidelines for AF ablation focus on pulmonary vein (PV) isolation for the prevention of arrhythmia. Additional targets are presently unclear, and include additional linear ablation and electrogram-guided substrate modification, without clear mechanistic relevance. PV and non-PV triggers are likely central in the first few seconds of AF initiation. Rapid activation from such triggers interacts with transitional mechanisms including conduction velocity slowing, action potential duration (APD) alternans, and steep APD restitution to cause conduction block and initiate functional reentry. However, complete suppression of potential triggers has proven elusive, and the intra-procedural mapping and targeting of transitional mechanisms has not been reported. A growing body of research implicates electrical rotors and focal sources as central mechanisms for the maintenance of AF. In several recent series, they were observed in nearly all patients with sustained arrhythmia. Ablation of rotor and focal source sites, prior to pulmonary vein isolation, substantially modulated atrial fibrillation in a high proportion of patients, and improved ablation outcomes versus pulmonary vein isolation alone. These results have subsequently been confirmed in multicenter series, and the improved outcomes have been found to persist to a mean follow-up of 3 years. Recently, rotors have been observed by multiple groups using diverse technologies. These findings represent a paradigm shift in AF, focusing on sustaining mechanisms, as is currently done with other arrhythmias such as atrioventricular node reentrant tachycardia. Studies are currently underway to assess the optimal strategy for the application of rotor-based ablation in AF management, including clinical trials on the relative efficacy of rotor-only ablation versus PVI-only ablation, which will inform future practice guidelines.
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Affiliation(s)
- David E Krummen
- University of California San Diego and VA San Diego Healthcare System, 3350 La Jolla Village Drive, Cardiology Section 111A, San Diego, CA, 92161, USA,
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Balasundaram K, Umapathy K, Jeyaratnam J, Niri A, Massé S, Farid T, Nair K, Asta J, Cusimano RJ, Vigmond E, Nanthakumar K. Tracking rotors with minimal electrodes: modulation index-based strategy. Circ Arrhythm Electrophysiol 2015; 8:447-55. [PMID: 25740825 DOI: 10.1161/circep.114.002306] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2014] [Accepted: 02/03/2015] [Indexed: 11/16/2022]
Abstract
BACKGROUND High-frequency periodic sources during cardiac fibrillation can be detected by phase mapping techniques. To enable practical therapeutic options for modulating periodic sources (existing techniques require high density multielectrode arrays and real time simultaneous mapping capability), a method to identify electrogram morphologies colocalizing to rotors that can be implemented on few electrograms needs to be devised. METHOD AND RESULTS Multichannel ventricular fibrillation electrogram data from 7 isolated human hearts using Langendorff setup and intraoperative clinical data from 2 human hearts were included in the analysis. The spatial locations of rotors were identified using phase maps constructed from 112 electrograms. Electrograms were analyzed for repeating patterns and discriminating signal morphologies around the locations of rotors and nonrotors were identified and quantified. Features were extracted from the unipolar electrogram patterns, which corroborated well with the spatial location of rotors. The results suggest that using the proposed modulation index feature, and as low as 1 sample point in the vicinity of the rotors, an accuracy as high as 86% (P<0.001) was obtained in separating rotor locations versus nonrotor locations. The analysis of bipolar electrogram signatures in the vicinity of the rotor locations suggest that 62.5% of the rotors occur at locations where the bipolar electrogram demonstrates continuous activities during ventricular fibrillation. CONCLUSIONS Unipolar electrogram extracted modulation index-based detection of rotors is feasible with few electrodes and has greater detection rate than bipolar approach. This strategy may be suitable for nonarray-based single mapping catheter enabled detection of rotors.
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Affiliation(s)
- Krishnanand Balasundaram
- From the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada (K.B., K.U., J.J., A.N.); Department of Cardiology, THFCFM Laboratory, Toronto, Ontario, Canada (S.M., T.F., K.N., J.A., K.N.); Department of Cardiology, Toronto General Hospital, Toronto, Ontario, Canada (R.J.C.); and LIRYC Electrophysiology and Heart Modelling Institute, Pessac, France (E.V.); and Laboratory IMB, University of Bordeaux, Talence, France (E.V.)
| | - Karthikeyan Umapathy
- From the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada (K.B., K.U., J.J., A.N.); Department of Cardiology, THFCFM Laboratory, Toronto, Ontario, Canada (S.M., T.F., K.N., J.A., K.N.); Department of Cardiology, Toronto General Hospital, Toronto, Ontario, Canada (R.J.C.); and LIRYC Electrophysiology and Heart Modelling Institute, Pessac, France (E.V.); and Laboratory IMB, University of Bordeaux, Talence, France (E.V.)
| | - Joyce Jeyaratnam
- From the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada (K.B., K.U., J.J., A.N.); Department of Cardiology, THFCFM Laboratory, Toronto, Ontario, Canada (S.M., T.F., K.N., J.A., K.N.); Department of Cardiology, Toronto General Hospital, Toronto, Ontario, Canada (R.J.C.); and LIRYC Electrophysiology and Heart Modelling Institute, Pessac, France (E.V.); and Laboratory IMB, University of Bordeaux, Talence, France (E.V.)
| | - Ahmed Niri
- From the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada (K.B., K.U., J.J., A.N.); Department of Cardiology, THFCFM Laboratory, Toronto, Ontario, Canada (S.M., T.F., K.N., J.A., K.N.); Department of Cardiology, Toronto General Hospital, Toronto, Ontario, Canada (R.J.C.); and LIRYC Electrophysiology and Heart Modelling Institute, Pessac, France (E.V.); and Laboratory IMB, University of Bordeaux, Talence, France (E.V.)
| | - Stephane Massé
- From the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada (K.B., K.U., J.J., A.N.); Department of Cardiology, THFCFM Laboratory, Toronto, Ontario, Canada (S.M., T.F., K.N., J.A., K.N.); Department of Cardiology, Toronto General Hospital, Toronto, Ontario, Canada (R.J.C.); and LIRYC Electrophysiology and Heart Modelling Institute, Pessac, France (E.V.); and Laboratory IMB, University of Bordeaux, Talence, France (E.V.)
| | - Talha Farid
- From the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada (K.B., K.U., J.J., A.N.); Department of Cardiology, THFCFM Laboratory, Toronto, Ontario, Canada (S.M., T.F., K.N., J.A., K.N.); Department of Cardiology, Toronto General Hospital, Toronto, Ontario, Canada (R.J.C.); and LIRYC Electrophysiology and Heart Modelling Institute, Pessac, France (E.V.); and Laboratory IMB, University of Bordeaux, Talence, France (E.V.)
| | - Krishnakumar Nair
- From the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada (K.B., K.U., J.J., A.N.); Department of Cardiology, THFCFM Laboratory, Toronto, Ontario, Canada (S.M., T.F., K.N., J.A., K.N.); Department of Cardiology, Toronto General Hospital, Toronto, Ontario, Canada (R.J.C.); and LIRYC Electrophysiology and Heart Modelling Institute, Pessac, France (E.V.); and Laboratory IMB, University of Bordeaux, Talence, France (E.V.)
| | - John Asta
- From the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada (K.B., K.U., J.J., A.N.); Department of Cardiology, THFCFM Laboratory, Toronto, Ontario, Canada (S.M., T.F., K.N., J.A., K.N.); Department of Cardiology, Toronto General Hospital, Toronto, Ontario, Canada (R.J.C.); and LIRYC Electrophysiology and Heart Modelling Institute, Pessac, France (E.V.); and Laboratory IMB, University of Bordeaux, Talence, France (E.V.)
| | - Robert J Cusimano
- From the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada (K.B., K.U., J.J., A.N.); Department of Cardiology, THFCFM Laboratory, Toronto, Ontario, Canada (S.M., T.F., K.N., J.A., K.N.); Department of Cardiology, Toronto General Hospital, Toronto, Ontario, Canada (R.J.C.); and LIRYC Electrophysiology and Heart Modelling Institute, Pessac, France (E.V.); and Laboratory IMB, University of Bordeaux, Talence, France (E.V.)
| | - Edward Vigmond
- From the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada (K.B., K.U., J.J., A.N.); Department of Cardiology, THFCFM Laboratory, Toronto, Ontario, Canada (S.M., T.F., K.N., J.A., K.N.); Department of Cardiology, Toronto General Hospital, Toronto, Ontario, Canada (R.J.C.); and LIRYC Electrophysiology and Heart Modelling Institute, Pessac, France (E.V.); and Laboratory IMB, University of Bordeaux, Talence, France (E.V.)
| | - Kumaraswamy Nanthakumar
- From the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada (K.B., K.U., J.J., A.N.); Department of Cardiology, THFCFM Laboratory, Toronto, Ontario, Canada (S.M., T.F., K.N., J.A., K.N.); Department of Cardiology, Toronto General Hospital, Toronto, Ontario, Canada (R.J.C.); and LIRYC Electrophysiology and Heart Modelling Institute, Pessac, France (E.V.); and Laboratory IMB, University of Bordeaux, Talence, France (E.V.).
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Krummen DE, Swarup V, Narayan SM. The role of rotors in atrial fibrillation. J Thorac Dis 2015; 7:142-51. [PMID: 25713729 DOI: 10.3978/j.issn.2072-1439.2014.11.15] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2014] [Accepted: 10/23/2014] [Indexed: 11/14/2022]
Abstract
Despite significant advances in our understanding of atrial fibrillation (AF) mechanisms in the last 15 years, ablation outcomes remain suboptimal. A potential reason is that many ablation techniques focus on anatomic, rather than patient-specific functional targets for ablation. Panoramic contact mapping, incorporating phase analysis, repolarization and conduction dynamics, and oscillations in AF rate, overcomes many prior difficulties with mapping AF. This approach provides evidence that the mechanisms sustaining human AF are deterministic, largely due to stable electrical rotors and focal sources in either atrium. Ablation of such sources (Focal Impulse and Rotor Modulation: FIRM ablation) has been shown to improve ablation outcome compared with conventional ablation alone; independent laboratories directly targeting stable rotors have shown similar results. Clinical trials examining the role of stand-alone FIRM ablation are in progress. Looking forward, translating insights from patient-specific mapping to evidence-based guidelines and clinical practice is the next challenge in improving patient outcomes in AF management.
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Affiliation(s)
- David E Krummen
- 1 Department of Medicine/Cardiology, University of California San Diego Medical Center, San Diego, CA and VA San Diego Healthcare System, San Diego, CA 92161, USA ; 2 Arizona Heart Hospital, Phoenix, AZ, USA ; 3 Stanford University, Palo Alto, CA, USA
| | - Vijay Swarup
- 1 Department of Medicine/Cardiology, University of California San Diego Medical Center, San Diego, CA and VA San Diego Healthcare System, San Diego, CA 92161, USA ; 2 Arizona Heart Hospital, Phoenix, AZ, USA ; 3 Stanford University, Palo Alto, CA, USA
| | - Sanjiv M Narayan
- 1 Department of Medicine/Cardiology, University of California San Diego Medical Center, San Diego, CA and VA San Diego Healthcare System, San Diego, CA 92161, USA ; 2 Arizona Heart Hospital, Phoenix, AZ, USA ; 3 Stanford University, Palo Alto, CA, USA
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