1
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Tzeis S, Gerstenfeld EP, Kalman J, Saad EB, Shamloo AS, Andrade JG, Barbhaiya CR, Baykaner T, Boveda S, Calkins H, Chan NY, Chen M, Chen SA, Dagres N, Damiano RJ, De Potter T, Deisenhofer I, Derval N, Di Biase L, Duytschaever M, Dyrda K, Hindricks G, Hocini M, Kim YH, la Meir M, Merino JL, Michaud GF, Natale A, Nault I, Nava S, Nitta T, O'Neill M, Pak HN, Piccini JP, Pürerfellner H, Reichlin T, Saenz LC, Sanders P, Schilling R, Schmidt B, Supple GE, Thomas KL, Tondo C, Verma A, Wan EY. 2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation. Heart Rhythm 2024; 21:e31-e149. [PMID: 38597857 DOI: 10.1016/j.hrthm.2024.03.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 03/11/2024] [Indexed: 04/11/2024]
Abstract
In the last three decades, ablation of atrial fibrillation (AF) has become an evidence-based safe and efficacious treatment for managing the most common cardiac arrhythmia. In 2007, the first joint expert consensus document was issued, guiding healthcare professionals involved in catheter or surgical AF ablation. Mounting research evidence and technological advances have resulted in a rapidly changing landscape in the field of catheter and surgical AF ablation, thus stressing the need for regularly updated versions of this partnership which were issued in 2012 and 2017. Seven years after the last consensus, an updated document was considered necessary to define a contemporary framework for selection and management of patients considered for or undergoing catheter or surgical AF ablation. This consensus is a joint effort from collaborating cardiac electrophysiology societies, namely the European Heart Rhythm Association, the Heart Rhythm Society, the Asia Pacific Heart Rhythm Society, and the Latin American Heart Rhythm Society.
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Affiliation(s)
- Stylianos Tzeis
- Department of Cardiology, Mitera Hospital, 6, Erythrou Stavrou Str., Marousi, Athens, PC 151 23, Greece.
| | - Edward P Gerstenfeld
- Section of Cardiac Electrophysiology, University of California, San Francisco, CA, USA
| | - Jonathan Kalman
- Department of Cardiology, Royal Melbourne Hospital, Melbourne, Australia; Department of Medicine, University of Melbourne and Baker Research Institute, Melbourne, Australia
| | - Eduardo B Saad
- Electrophysiology and Pacing, Hospital Samaritano Botafogo, Rio de Janeiro, Brazil; Cardiac Arrhythmia Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Jason G Andrade
- Department of Medicine, Vancouver General Hospital, Vancouver, British Columbia, Canada
| | | | - Tina Baykaner
- Division of Cardiology and Cardiovascular Institute, Stanford University, Stanford, CA, USA
| | - Serge Boveda
- Heart Rhythm Management Department, Clinique Pasteur, Toulouse, France; Universiteit Brussel (VUB), Brussels, Belgium
| | - Hugh Calkins
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Ngai-Yin Chan
- Department of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Minglong Chen
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Shih-Ann Chen
- Heart Rhythm Center, Taipei Veterans General Hospital, Taipei, and Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
| | | | - Ralph J Damiano
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St. Louis, MO, USA
| | | | - Isabel Deisenhofer
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM) School of Medicine and Health, Munich, Germany
| | - Nicolas Derval
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Cardiac Electrophysiology and Stimulation Department, Fondation Bordeaux Université and Bordeaux University Hospital (CHU), Pessac-Bordeaux, France
| | - Luigi Di Biase
- Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Katia Dyrda
- Department of Medicine, Montreal Heart Institute, Université de Montréal, Montreal, Canada
| | | | - Meleze Hocini
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Cardiac Electrophysiology and Stimulation Department, Fondation Bordeaux Université and Bordeaux University Hospital (CHU), Pessac-Bordeaux, France
| | - Young-Hoon Kim
- Division of Cardiology, Korea University College of Medicine and Korea University Medical Center, Seoul, Republic of Korea
| | - Mark la Meir
- Cardiac Surgery Department, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Jose Luis Merino
- La Paz University Hospital, Idipaz, Universidad Autonoma, Madrid, Spain; Hospital Viamed Santa Elena, Madrid, Spain
| | | | - Andrea Natale
- Texas Cardiac Arrhythmia Institute, St. David's Medical Center, Austin, TX, USA; Case Western Reserve University, Cleveland, OH, USA; Interventional Electrophysiology, Scripps Clinic, San Diego, CA, USA; Department of Biomedicine and Prevention, Division of Cardiology, University of Tor Vergata, Rome, Italy
| | - Isabelle Nault
- Institut Universitaire de Cardiologie et de Pneumologie de Quebec (IUCPQ), Quebec, Canada
| | - Santiago Nava
- Departamento de Electrocardiología, Instituto Nacional de Cardiología 'Ignacio Chávez', Ciudad de México, México
| | - Takashi Nitta
- Department of Cardiovascular Surgery, Nippon Medical School, Tokyo, Japan
| | - Mark O'Neill
- Cardiovascular Directorate, St. Thomas' Hospital and King's College, London, UK
| | - Hui-Nam Pak
- Division of Cardiology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | | | | | - Tobias Reichlin
- Department of Cardiology, Inselspital Bern, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Luis Carlos Saenz
- International Arrhythmia Center, Cardioinfantil Foundation, Bogota, Colombia
| | - Prashanthan Sanders
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | | | - Boris Schmidt
- Cardioangiologisches Centrum Bethanien, Medizinische Klinik III, Agaplesion Markuskrankenhaus, Frankfurt, Germany
| | - Gregory E Supple
- Cardiac Electrophysiology Section, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - Claudio Tondo
- Department of Clinical Electrophysiology and Cardiac Pacing, Centro Cardiologico Monzino, IRCCS, Milan, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Atul Verma
- McGill University Health Centre, McGill University, Montreal, Canada
| | - Elaine Y Wan
- Department of Medicine, Division of Cardiology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
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2
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Tzeis S, Gerstenfeld EP, Kalman J, Saad E, Shamloo AS, Andrade JG, Barbhaiya CR, Baykaner T, Boveda S, Calkins H, Chan NY, Chen M, Chen SA, Dagres N, Damiano RJ, De Potter T, Deisenhofer I, Derval N, Di Biase L, Duytschaever M, Dyrda K, Hindricks G, Hocini M, Kim YH, la Meir M, Merino JL, Michaud GF, Natale A, Nault I, Nava S, Nitta T, O'Neill M, Pak HN, Piccini JP, Pürerfellner H, Reichlin T, Saenz LC, Sanders P, Schilling R, Schmidt B, Supple GE, Thomas KL, Tondo C, Verma A, Wan EY. 2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation. J Interv Card Electrophysiol 2024; 67:921-1072. [PMID: 38609733 DOI: 10.1007/s10840-024-01771-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/14/2024]
Abstract
In the last three decades, ablation of atrial fibrillation (AF) has become an evidence-based safe and efficacious treatment for managing the most common cardiac arrhythmia. In 2007, the first joint expert consensus document was issued, guiding healthcare professionals involved in catheter or surgical AF ablation. Mounting research evidence and technological advances have resulted in a rapidly changing landscape in the field of catheter and surgical AF ablation, thus stressing the need for regularly updated versions of this partnership which were issued in 2012 and 2017. Seven years after the last consensus, an updated document was considered necessary to define a contemporary framework for selection and management of patients considered for or undergoing catheter or surgical AF ablation. This consensus is a joint effort from collaborating cardiac electrophysiology societies, namely the European Heart Rhythm Association, the Heart Rhythm Society (HRS), the Asia Pacific HRS, and the Latin American HRS.
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Affiliation(s)
| | - Edward P Gerstenfeld
- Section of Cardiac Electrophysiology, University of California, San Francisco, CA, USA
| | - Jonathan Kalman
- Department of Cardiology, Royal Melbourne Hospital, Melbourne, Australia
- Department of Medicine, University of Melbourne and Baker Research Institute, Melbourne, Australia
| | - Eduardo Saad
- Electrophysiology and Pacing, Hospital Samaritano Botafogo, Rio de Janeiro, Brazil
- Cardiac Arrhythmia Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Jason G Andrade
- Department of Medicine, Vancouver General Hospital, Vancouver, British Columbia, Canada
| | | | - Tina Baykaner
- Division of Cardiology and Cardiovascular Institute, Stanford University, Stanford, CA, USA
| | - Serge Boveda
- Heart Rhythm Management Department, Clinique Pasteur, Toulouse, France
- Universiteit Brussel (VUB), Brussels, Belgium
| | - Hugh Calkins
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Ngai-Yin Chan
- Department of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Minglong Chen
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Shih-Ann Chen
- Heart Rhythm Center, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Nikolaos Dagres
- Department of Cardiac Electrophysiology, Charité University Berlin, Berlin, Germany
| | - Ralph J Damiano
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St. Louis, MO, USA
| | | | - Isabel Deisenhofer
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM) School of Medicine and Health, Munich, Germany
| | - Nicolas Derval
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Cardiac Electrophysiology and Stimulation Department, Fondation Bordeaux Université and Bordeaux University Hospital (CHU), Pessac-Bordeaux, France
| | - Luigi Di Biase
- Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Katia Dyrda
- Department of Cardiology, Montreal Heart Institute, Université de Montréal, Montreal, Canada
| | - Gerhard Hindricks
- Department of Cardiac Electrophysiology, Charité University Berlin, Berlin, Germany
| | - Meleze Hocini
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Cardiac Electrophysiology and Stimulation Department, Fondation Bordeaux Université and Bordeaux University Hospital (CHU), Pessac-Bordeaux, France
| | - Young-Hoon Kim
- Division of Cardiology, Korea University College of Medicine and Korea University Medical Center, Seoul, Republic of Korea
| | - Mark la Meir
- Cardiac Surgery Department, Universitair Ziekenhuis Brussel-Vrije Universiteit Brussel, Brussels, Belgium
| | - Jose Luis Merino
- La Paz University Hospital, Idipaz, Universidad Autonoma, Madrid, Spain
- Hospital Viamed Santa Elena, Madrid, Spain
| | - Gregory F Michaud
- Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrea Natale
- Texas Cardiac Arrhythmia Institute, St. David's Medical Center, Austin, TX, USA
- Case Western Reserve University, Cleveland, OH, USA
- Interventional Electrophysiology, Scripps Clinic, San Diego, CA, USA
- Department of Biomedicine and Prevention, Division of Cardiology, University of Tor Vergata, Rome, Italy
| | - Isabelle Nault
- Institut Universitaire de Cardiologie et de Pneumologie de Quebec (IUCPQ), Quebec, Canada
| | - Santiago Nava
- Departamento de Electrocardiología, Instituto Nacional de Cardiología 'Ignacio Chávez', Ciudad de México, México
| | - Takashi Nitta
- Department of Cardiovascular Surgery, Nippon Medical School, Tokyo, Japan
| | - Mark O'Neill
- Cardiovascular Directorate, St. Thomas' Hospital and King's College, London, UK
| | - Hui-Nam Pak
- Division of Cardiology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | | | | | - Tobias Reichlin
- Department of Cardiology, Inselspital Bern, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Luis Carlos Saenz
- International Arrhythmia Center, Cardioinfantil Foundation, Bogota, Colombia
| | - Prashanthan Sanders
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | | | - Boris Schmidt
- Cardioangiologisches Centrum Bethanien, Medizinische Klinik III, Agaplesion Markuskrankenhaus, Frankfurt, Germany
| | - Gregory E Supple
- Cardiac Electrophysiology Section, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - Claudio Tondo
- Department of Clinical Electrophysiology and Cardiac Pacing, Centro Cardiologico Monzino, IRCCS, Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Atul Verma
- McGill University Health Centre, McGill University, Montreal, Canada
| | - Elaine Y Wan
- Department of Medicine, Division of Cardiology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
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3
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Tzeis S, Gerstenfeld EP, Kalman J, Saad EB, Sepehri Shamloo A, Andrade JG, Barbhaiya CR, Baykaner T, Boveda S, Calkins H, Chan NY, Chen M, Chen SA, Dagres N, Damiano RJ, De Potter T, Deisenhofer I, Derval N, Di Biase L, Duytschaever M, Dyrda K, Hindricks G, Hocini M, Kim YH, la Meir M, Merino JL, Michaud GF, Natale A, Nault I, Nava S, Nitta T, O’Neill M, Pak HN, Piccini JP, Pürerfellner H, Reichlin T, Saenz LC, Sanders P, Schilling R, Schmidt B, Supple GE, Thomas KL, Tondo C, Verma A, Wan EY. 2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation. Europace 2024; 26:euae043. [PMID: 38587017 PMCID: PMC11000153 DOI: 10.1093/europace/euae043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 01/16/2024] [Indexed: 04/09/2024] Open
Abstract
In the last three decades, ablation of atrial fibrillation (AF) has become an evidence-based safe and efficacious treatment for managing the most common cardiac arrhythmia. In 2007, the first joint expert consensus document was issued, guiding healthcare professionals involved in catheter or surgical AF ablation. Mounting research evidence and technological advances have resulted in a rapidly changing landscape in the field of catheter and surgical AF ablation, thus stressing the need for regularly updated versions of this partnership which were issued in 2012 and 2017. Seven years after the last consensus, an updated document was considered necessary to define a contemporary framework for selection and management of patients considered for or undergoing catheter or surgical AF ablation. This consensus is a joint effort from collaborating cardiac electrophysiology societies, namely the European Heart Rhythm Association, the Heart Rhythm Society, the Asia Pacific Heart Rhythm Society, and the Latin American Heart Rhythm Society .
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Affiliation(s)
- Stylianos Tzeis
- Department of Cardiology, Mitera Hospital, 6, Erythrou Stavrou Str., Marousi, Athens, PC 151 23, Greece
| | - Edward P Gerstenfeld
- Section of Cardiac Electrophysiology, University of California, San Francisco, CA, USA
| | - Jonathan Kalman
- Department of Cardiology, Royal Melbourne Hospital, Melbourne, Australia
- Department of Medicine, University of Melbourne and Baker Research Institute, Melbourne, Australia
| | - Eduardo B Saad
- Electrophysiology and Pacing, Hospital Samaritano Botafogo, Rio de Janeiro, Brazil
- Cardiac Arrhythmia Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Jason G Andrade
- Department of Medicine, Vancouver General Hospital, Vancouver, British Columbia, Canada
| | | | - Tina Baykaner
- Division of Cardiology and Cardiovascular Institute, Stanford University, Stanford, CA, USA
| | - Serge Boveda
- Heart Rhythm Management Department, Clinique Pasteur, Toulouse, France
- Universiteit Brussel (VUB), Brussels, Belgium
| | - Hugh Calkins
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Ngai-Yin Chan
- Department of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Minglong Chen
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Shih-Ann Chen
- Heart Rhythm Center, Taipei Veterans General Hospital, Taipei, and Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
| | | | - Ralph J Damiano
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St. Louis, MO, USA
| | | | - Isabel Deisenhofer
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM) School of Medicine and Health, Munich, Germany
| | - Nicolas Derval
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Cardiac Electrophysiology and Stimulation Department, Fondation Bordeaux Université and Bordeaux University Hospital (CHU), Pessac-Bordeaux, France
| | - Luigi Di Biase
- Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Katia Dyrda
- Department of Medicine, Montreal Heart Institute, Université de Montréal, Montreal, Canada
| | | | - Meleze Hocini
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Cardiac Electrophysiology and Stimulation Department, Fondation Bordeaux Université and Bordeaux University Hospital (CHU), Pessac-Bordeaux, France
| | - Young-Hoon Kim
- Division of Cardiology, Korea University College of Medicine and Korea University Medical Center, Seoul, Republic of Korea
| | - Mark la Meir
- Cardiac Surgery Department, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Jose Luis Merino
- La Paz University Hospital, Idipaz, Universidad Autonoma, Madrid, Spain
- Hospital Viamed Santa Elena, Madrid, Spain
| | | | - Andrea Natale
- Texas Cardiac Arrhythmia Institute, St. David’s Medical Center, Austin, TX, USA
- Case Western Reserve University, Cleveland, OH, USA
- Interventional Electrophysiology, Scripps Clinic, San Diego, CA, USA
- Department of Biomedicine and Prevention, Division of Cardiology, University of Tor Vergata, Rome, Italy
| | - Isabelle Nault
- Institut Universitaire de Cardiologie et de Pneumologie de Quebec (IUCPQ), Quebec, Canada
| | - Santiago Nava
- Departamento de Electrocardiología, Instituto Nacional de Cardiología ‘Ignacio Chávez’, Ciudad de México, México
| | - Takashi Nitta
- Department of Cardiovascular Surgery, Nippon Medical School, Tokyo, Japan
| | - Mark O’Neill
- Cardiovascular Directorate, St. Thomas’ Hospital and King’s College, London, UK
| | - Hui-Nam Pak
- Division of Cardiology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | | | | | - Tobias Reichlin
- Department of Cardiology, Inselspital Bern, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Luis Carlos Saenz
- International Arrhythmia Center, Cardioinfantil Foundation, Bogota, Colombia
| | - Prashanthan Sanders
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | | | - Boris Schmidt
- Cardioangiologisches Centrum Bethanien, Medizinische Klinik III, Agaplesion Markuskrankenhaus, Frankfurt, Germany
| | - Gregory E Supple
- Cardiac Electrophysiology Section, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - Claudio Tondo
- Department of Clinical Electrophysiology and Cardiac Pacing, Centro Cardiologico Monzino, IRCCS, Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Atul Verma
- McGill University Health Centre, McGill University, Montreal, Canada
| | - Elaine Y Wan
- Department of Medicine, Division of Cardiology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
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4
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Riku S, Inden Y, Yanagisawa S, Fujii A, Tomomatsu T, Nakagomi T, Shimojo M, Okajima T, Furui K, Suga K, Suzuki S, Shibata R, Murohara T. Distributions and number of drivers on real-time phase mapping associated with successful atrial fibrillation termination during catheter ablation for non-paroxysmal atrial fibrillation. J Interv Card Electrophysiol 2024; 67:303-317. [PMID: 37354370 DOI: 10.1007/s10840-023-01588-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 05/31/2023] [Indexed: 06/26/2023]
Abstract
BACKGROUND Real-time phase mapping (ExTRa™) is useful in determining the strategy of catheter ablation for non-paroxysmal atrial fibrillation (AF). This study aimed to investigate the features of drivers of AF associated with its termination during ablation. METHODS Thirty-six patients who underwent catheter ablation for non-paroxysmal AF using online real-time phase mapping (ExTRa™) were enrolled. A significant AF driver was defined as an area with a non-passively activated ratio of ≥ 50% on mapping analysis in the left atrium (LA). All drivers were simultaneously evaluated using a low-voltage area, complex fractionated atrial electrogram (CFAE), and rotational activity by unipolar electrogram analysis. The electrical characteristics of drivers were compared between patients with and without AF termination during the procedure. RESULTS Twelve patients achieved AF termination during the procedure. The total number of drivers detected on the mapping was significantly lower (4.4 ± 1.6 vs. 7.4 ± 3.8, p = 0.007), and the drivers were more concentrated in limited LA regions (2.8 ± 0.9 vs. 3.9 ± 1.4, p = 0.009) in the termination group than in the non-termination group. The presence of drivers 2-6 with limited (≤ 3) LA regions showed a tenfold increase in the likelihood of AF termination, with 83% specificity and 67% sensitivity. Among 231 AF drivers, the drivers related to termination exhibited a greater overlap of CFAE (56.8 ± 34.1% vs. 39.5 ± 30.4%, p = 0.004) than the non-related drivers. The termination group showed a trend toward a lower recurrence rate after ablation (p = 0.163). CONCLUSIONS Rotors responsible for AF maintenance may be characterized in cases with concentrated regions and fewer drivers on mapping.
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Affiliation(s)
- Shuro Riku
- Department of Cardiology, Nagoya University Graduate School of Medicine, 65 Tsurumaicho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Yasuya Inden
- Department of Cardiology, Nagoya University Graduate School of Medicine, 65 Tsurumaicho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Satoshi Yanagisawa
- Department of Cardiology, Nagoya University Graduate School of Medicine, 65 Tsurumaicho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan.
| | - Aya Fujii
- Department of Cardiology, Nagoya University Graduate School of Medicine, 65 Tsurumaicho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Toshiro Tomomatsu
- Department of Cardiology, Nagoya University Graduate School of Medicine, 65 Tsurumaicho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Toshifumi Nakagomi
- Department of Cardiology, Nagoya University Graduate School of Medicine, 65 Tsurumaicho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Masafumi Shimojo
- Department of Cardiology, Nagoya University Graduate School of Medicine, 65 Tsurumaicho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Takashi Okajima
- Department of Cardiology, Nagoya University Graduate School of Medicine, 65 Tsurumaicho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Koichi Furui
- Department of Cardiology, Nagoya University Graduate School of Medicine, 65 Tsurumaicho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Kazumasa Suga
- Department of Cardiology, Nagoya University Graduate School of Medicine, 65 Tsurumaicho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Susumu Suzuki
- Department of Cardiology, Nagoya University Graduate School of Medicine, 65 Tsurumaicho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Rei Shibata
- Department of Cardiology, Nagoya University Graduate School of Medicine, 65 Tsurumaicho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Toyoaki Murohara
- Department of Cardiology, Nagoya University Graduate School of Medicine, 65 Tsurumaicho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
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5
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Spitzer SG, Miller JM, Sommer P, Szili-Torok T, Reddy VY, Nölker G, Williams C, Sarver A, Wilber DJ. Randomized evaluation of redo ablation procedures of atrial fibrillation with focal impulse and rotor modulation-guided procedures: the REDO-FIRM study. Europace 2023; 25:74-82. [PMID: 36056882 PMCID: PMC10103554 DOI: 10.1093/europace/euac122] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 05/25/2022] [Indexed: 11/12/2022] Open
Abstract
AIMS REDO-FIRM evaluated safety and effectiveness of conventional vs. focal impulse and rotor modulation (FIRM)-guided ablation of recurrent persistent or paroxysmal atrial fibrillation (AF) after an initial AF ablation procedure. METHODS AND RESULTS This prospective, multicentre, randomized study included patients with a single prior AF ablation, but with recurrent AF and reconnected pulmonary veins (PVs). Conventional ablation generally included PV re-isolation; however, additional ablation was permitted per physician discretion. In the FIRM arm, beyond PV re-isolation, basket catheter-based FIRM mapping created dynamic animations of putative rotors, which were targeted for ablation. Between May 2016 and July 2019, 269 subjects were randomized, with 243 subjects completing 12-month follow-up. Ablation beyond re-pulmonary vein isolation, the FIRM vs. Conventional arms did not differ significantly: cavo-tricuspid isthmus -9.0% vs. 15.3%, caval vein isolation -1.5% vs. 0.8%, non-PV trigger -2.2% vs. 3.8%, other -11.9% vs. 13.0%. Single procedure 12-month freedom from AF/atrial tachycardia/atrial flutter-recurrence was 63.3% (76/120) vs. 59.0% (72/122) in the FIRM and Conventional arms (P = 0.3503). Efficacy was similar in the paroxysmal and persistent AF subgroups (P = 0.22 and P = 0.48). The 10-day and 12-month safety endpoints were achieved in 93.3% vs. 93.8% (P = 0.89) and 88.4% vs. 93.4% (P = 0.22) in the FIRM and Conventional arms, respectively. CONCLUSIONS In REDO-FIRM, as compared to standard ablation, FIRM-guided ablation did not provide additional efficacy in redo ablation procedures, but FIRM-guided ablation was equally safe. Additional studies are necessary to identify any potential population able to benefit from FIRM-guided ablation.
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Affiliation(s)
- Stefan G Spitzer
- Praxisklinik Herz und Gefäße, 01099 Dresden, and Brandenburg University of Technology Cottbus-Senftenberg, Institute of Medical Technology, 03046 Cottbus, Germany
| | - John M Miller
- Krannert Institute of Cardiology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Philipp Sommer
- Herz-und Diabeteszentrum NRW, Universitätsklinik der Ruhr-Universität Bochum, Bad Oeynhausen 32545, Germany
| | | | - Vivek Y Reddy
- Helmsley Electrophysiology Center - Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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6
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Santurri M, Bonga J, Schmid M, Cauti FM, Solimene F, Polselli M, Bura M, Piccolo F, Malacrida M, Pelargonio G, Spera FR, Bianchi S, Rossi P. Automated conduction velocity estimation based on isochronal activation of heart chambers. J Interv Card Electrophysiol 2022; 66:647-660. [PMID: 36178554 PMCID: PMC10066170 DOI: 10.1007/s10840-022-01339-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 08/09/2022] [Indexed: 10/14/2022]
Abstract
BACKGROUND Spatial differences in conduction velocity (CV) are critical for cardiac arrhythmias induction. We propose a method for an automated CV calculation to identify areas of slower conduction during cardiac arrhythmias and sinus rhythm. METHODS Color-coded representations of the isochronal activation map using data coming from the RHYTHMIA™ Mapping System were reproduced by applying a temporal isochronal window at 20 ms. Geodesic distances of the 3D mesh were calculated using an algorithm selecting the minimum distance pathway (MDP). The CV estimation was performed considering points on the boundary of two spatially and temporally adjacent isochrones. For each of the boundary points of a given isochrone, the nearest boundary point of the consecutive isochrone was chosen, the MDP was evaluated, and a map of CV was created. The proposed method has been applied to a population of 29 patients. RESULTS In all cases of perimitral atrial flutter (16 pts out of 29 (55%)), areas with significantly low CV (< 30 cm/s) were found. Half of the cases present regions with low CV located in the anterior wall. No case with low CV at the so-called LA isthmus was observed. Right atrial maps during common atrial flutters showed low CV areas mainly located in the inferior inter-atrial septum. No areas of low CV were observed in subjects without a history of atrial arrhythmia while pts affected by paroxysmal AF showed areas with a limited extension of low CV. CONCLUSIONS The proposed software for automated CV estimation allows the identification of low CV areas, potentially helping electrophysiologists to plan the ablation strategy.
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Affiliation(s)
- Michela Santurri
- BioLab3, Biomedical Engineering Laboratory, Roma Tre University, Rome, Italy
| | - Jennifer Bonga
- BioLab3, Biomedical Engineering Laboratory, Roma Tre University, Rome, Italy
| | - Maurizio Schmid
- BioLab3, Biomedical Engineering Laboratory, Roma Tre University, Rome, Italy
| | - Filippo Maria Cauti
- Arrhythmology Unit, Hospital Fatebenefratelli Isola Tiberina-Gemelli Isola, Rome, Italy
| | - Francesco Solimene
- Electrophysiology Unit, Clinica Montevergine, Mercogliano, Avellino, Italy
| | - Marco Polselli
- Arrhythmology Unit, Hospital Fatebenefratelli Isola Tiberina-Gemelli Isola, Rome, Italy
| | | | | | | | - Gemma Pelargonio
- Cardiovascular Sciences Department, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Francesco Raffaele Spera
- Cardiovascular Sciences Department, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Stefano Bianchi
- Arrhythmology Unit, Hospital Fatebenefratelli Isola Tiberina-Gemelli Isola, Rome, Italy
| | - Pietro Rossi
- Arrhythmology Unit, Hospital Fatebenefratelli Isola Tiberina-Gemelli Isola, Rome, Italy.
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7
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An Evaluation of Phase Analysis to Interpret Atrial Activation Patterns during Persistent Atrial Fibrillation for Targeted Ablation. J Clin Med 2022; 11:jcm11195807. [PMID: 36233675 PMCID: PMC9572396 DOI: 10.3390/jcm11195807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 09/21/2022] [Accepted: 09/29/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Phase analysis has been used to identify and localize atrial fibrillation (AF) sources for targeted ablation. We previously demonstrated that repetitive wannabe reentry (incomplete reentry) often generated an apparent stable rotor using phase analysis. The misinterpretation caused by phase analysis using atrial electrograms (AEGs) may result from detecting inaccurate time points at phase inversion (π to -π) in the instantaneous phase waveform converted from AEG. The purpose of this study was to evaluate the accuracy of phase analysis to detect atrial activations recorded from the high-density mapping of AF in patients with persistent and long-standing persistent (LSP) AF. METHODS AND RESULTS During open heart surgery, we recorded activation from both atria simultaneously using 512 electrodes in 7 patients with persistent and LSP AF. The phase analysis was compared to manual measurements during 4 s of data. For the accuracy of activation sequence maps, a successful recording site was defined as having ≤4 mismatched activation times during the 4 s. In all AF episodes, the accuracy of the phase analysis was only 82% of the total number of activation times due to either activation time differences (14.7%), under-sensing (2.7%), or over-sensing (0.6%). Only 67.9% of the total recording sites met the requirement of a successful recording site by phase analysis. In unsuccessful recording sites, AEG characteristics were relatively irregular cycle length (CL), complex AEG, and double potential AEG. CONCLUSION The phase analysis was less accurate in recording sites with a relatively irregular CL, complex AEG, or double potential AEG. As a result, phase analysis may lead to the misinterpretation of atrial activation patterns during AF. A visual review of the original AEG is needed to confirm the detected AF sources of phase analysis before performing targeted ablation.
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8
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Pope MTB, Kuklik P, Briosa E Gala A, Leo M, Mahmoudi M, Paisey J, Betts TR. Impact of Adenosine on Wavefront Propagation in Persistent Atrial Fibrillation: Insights From Global Noncontact Charge Density Mapping of the Left Atrium. J Am Heart Assoc 2022; 11:e021166. [PMID: 35621197 PMCID: PMC9238707 DOI: 10.1161/jaha.121.021166] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Adenosine shortens action potential duration and refractoriness and provokes atrial fibrillation. This study aimed to evaluate the effect of adenosine on mechanisms of wavefront propagation during atrial fibrillation. Methods and Results The study included 22 patients undergoing catheter ablation for persistent atrial fibrillation. Left atrial mapping was performed using the AcQMap charge density system before and after administration of intravenous adenosine at 1 or more of 3 time points during the procedure (before pulmonary vein isolation, after pulmonary vein isolation, and after nonpulmonary vein isolation ablation). Wave‐front propagation patterns were evaluated allowing identification and quantification of localized rotational activation (LRA), localized irregular activation, and focal firing. Additional signal processing was performed to identify phase singularities and calculate global atrial fibrillation cycle length and dominant frequency. A total of 35 paired maps were analyzed. Adenosine shortened mean atrial fibrillation cycle length from 181.7±14.3 to 165.1±16.3, (mean difference 16.6 ms; 95% CI, 11.3–21.9, P<0.0005) and increased dominant frequency from 6.0±0.7 Hz to 6.6±0.8 Hz (95% CI, 0.4–0.9, P<0.0005). This was associated with a 50% increase in the number of LRA occurrences (16.1±7.6–24.2±8.1; mean difference 8.1, 95% CI, 4.1–12, P<0.0005) as well as a 20% increase in the number of phase singularities detected (30.1±7.8–36.6±9.3; mean difference 6.5; 95% CI, 2.6–10.0, P=0.002). The percentage of left atrial surface area with LRA increased with adenosine and 42 of 70 zones (60%) with highest density of LRA coincided with high density LRA zones at baseline with only 28% stable across multiple maps. Conclusions Adenosine accelerates atrial fibrillation and promotes rotational activation patterns with no impact on focal activation. There is little evidence that rotational activation seen with adenosine represents promising targets for ablation aimed at sites of stable arrhythmogenic sources in the left atrium.
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Affiliation(s)
- Michael T B Pope
- Oxford University Hospitals NHS Foundation Trust Oxford United Kingdom.,University of Southampton United Kingdom
| | - Pawel Kuklik
- Department of Cardiology Asklepios Clinic St. Georg Hamburg Germany
| | | | - Milena Leo
- Oxford University Hospitals NHS Foundation Trust Oxford United Kingdom
| | - Michael Mahmoudi
- University of Southampton United Kingdom.,Southampton University Hospitals NHS Foundation Trust Southampton United Kingdom
| | - John Paisey
- University of Southampton United Kingdom.,Southampton University Hospitals NHS Foundation Trust Southampton United Kingdom
| | - Timothy R Betts
- Oxford University Hospitals NHS Foundation Trust Oxford United Kingdom.,University of Oxford Biomedical Research Centre Oxford United Kingdom
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9
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Liu FZ, Zaman JAB, Ehdaie A, Xue YM, Cingolani E, Bresee C, Chugh SS, Wu SL, Shehata M, Wang X. Atrial Fibrillation Mechanisms Before and After Pulmonary Vein Isolation Characterized by Non-Contact Charge Density Mapping. Heart Rhythm 2022; 19:1423-1432. [PMID: 35381379 DOI: 10.1016/j.hrthm.2022.03.1232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 03/21/2022] [Accepted: 03/26/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND The interaction of pulmonary vein and putative non-pulmonary triggers of atrial fibrillation (AF) remains unclear, and has yet to translate into patient tailored ablation strategies. OBJECTIVE To use non-contact mapping to detail the global conduction patterns in paroxysmal and persistent AF and how they are modified during pulmonary vein ablation. METHODS 40 patients at atrial fibrillation ablation underwent mapping using a non-contact catheter (AcQMap, Acutus Medical Inc) before and after pulmonary vein isolation (PVI). Propagation history maps were analysed post-procedure for each patient to categorise conduction patterns into Focal, Organised reentrant and Disorganized patterns. RESULTS Activation patterns identified by using a non-contact mapping system can be sub-classified from three main patterns into subtypes (MacroReentrant and LocalisedReentrant subtypes, Disorganized 1 and Disorganized 2 subtypes). Persistent AF demonstrated more D-Patterns, and less O-Patterns and F-Patterns than paroxysmal AF. In addition, PAF patients inducible after PVI demonstrated a greater number and higher prevalence of MR subtypes than those non-inducible. PVs remained the critical region and included almost one third of all patterns across any AF-types. PVI was effective to eliminate PV-related functional phenotypes, and impacted on recurrence with other patterns. CONCLUSION Activation patterns identified using AcQMap can be classified into three main patterns (F-Patterns, O-Patterns and D-Patterns) as well as subtypes (MR and LR subtype, D1 and D2 subtype). PerAF was different from PAF in demonstrating a greater region number and prevalence of D-Patterns, but lower region number and prevalence of O-Patterns and F-Patterns.
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Affiliation(s)
- Fang-Zhou Liu
- Guandong Medical College, Guanzhou, China; Cedars Sinai Heart Institute, Los Angeles, CA USA
| | - Junaid A B Zaman
- Cedars Sinai Heart Institute, Los Angeles, CA USA; Keck Medicine of USC, Los Angeles, CA USA
| | | | - Yu-Mei Xue
- Guandong Medical College, Guanzhou, China
| | | | | | | | - Shu-Lin Wu
- Guandong Medical College, Guanzhou, China
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10
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A Review on Atrial Fibrillation (Computer Simulation and Clinical Perspectives). HEARTS 2022. [DOI: 10.3390/hearts3010005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Atrial fibrillation (AF), a heart condition, has been a well-researched topic for the past few decades. This multidisciplinary field of study deals with signal processing, finite element analysis, mathematical modeling, optimization, and clinical procedure. This article is focused on a comprehensive review of journal articles published in the field of AF. Topics from the age-old fundamental concepts to specialized modern techniques involved in today’s AF research are discussed. It was found that a lot of research articles have already been published in modeling and simulation of AF. In comparison to that, the diagnosis and post-operative procedures for AF patients have not yet been totally understood or explored by the researchers. The simulation and modeling of AF have been investigated by many researchers in this field. Cellular model, tissue model, and geometric model among others have been used to simulate AF. Due to a very complex nature, the causes of AF have not been fully perceived to date, but the simulated results are validated with real-life patient data. Many algorithms have been proposed to detect the source of AF in human atria. There are many ablation strategies for AF patients, but the search for more efficient ablation strategies is still going on. AF management for patients with different stages of AF has been discussed in the literature as well but is somehow limited mostly to the patients with persistent AF. The authors hope that this study helps to find existing research gaps in the analysis and the diagnosis of AF.
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11
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Identification of high priority focal activations in persistent atrial fibrillation using a novel mapping strategy. Heart Vessels 2021; 37:840-853. [PMID: 34708268 DOI: 10.1007/s00380-021-01977-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 10/22/2021] [Indexed: 10/20/2022]
Abstract
Focal activation is believed to be an atrial fibrillation (AF) driver; however, little is known about whether all focal activations are necessary for AF persistence. The purpose of this study was to assess the electrical nature of focal activation and identify high-priority focal activations using a novel mapping system (CARTOFINDER). Thirty-five patients with persistent AF who underwent catheter ablation were assessed. Cycle length (CL) and CL standard deviation (CLSD) on unipolar recordings and voltage amplitude and electrogram morphologies on bipolar recordings were evaluated at all points of interest. The most frequent CL at each mapping site was defined as the dominant CL. We identified dominant focal activations (DFAs) that had a shorter dominant CL on the integrated CARTOFINDER map. The effect of elimination of DFAs on AF maintenance was assessed by the composite endpoint (termination to sinus rhythm, organization of the rhythm to atrial tachycardia, and AF CL slowing). In all, 450 focal activations were identified among 10,868 points, and 50.4% of focal activations were DFAs. Focal activations showed relatively long CL and regularity with short CLSD. Most focal activations showed an isoelectric baseline and were located outside of the fractionated electrogram area. Both DFAs and non-DFAs were typically observed in the normal voltage range. Elimination of DFAs was achieved in 19 (54.3%) patients, with a remarkable impact on AF maintenance (68.4% vs. 25.0%, p = 0.018). In conclusion, DFAs may play an important role in AF maintenance and could be an attractive therapeutic target for AF.
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12
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Novel aggregated multiposition noncontact mapping of atrial tachycardia in humans: From computational modeling to clinical validation. Heart Rhythm 2021; 19:61-69. [PMID: 34583060 DOI: 10.1016/j.hrthm.2021.09.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 09/20/2021] [Accepted: 09/21/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND A novel aggregated multiposition noncontact mapping (AMP-NCM) algorithm is proposed to diagnose cardiac arrhythmias. OBJECTIVE The purpose of this study was to computationally determine an accuracy threshold and to compare the accuracy and clinical utility of AMP-NCM to gold standard contact mapping. METHODS In a cellular automata model, the number of catheter positions and chamber coverage were varied to establish accuracy requirements for clinically relevant AMP-NCM. This guided the clinical study protocol. In a prospective cohort of patients with atrial tachycardia (AT), noncontact mapping (NCM) recordings from a single position (SP) and multiple positions were compared to contact mapping with a high-density multipolar catheter using morphology and timing differences of reconstructed signals. Identification of AT mechanisms and ablation targets using both AMP-NCM and contact mapping were randomly evaluated by 5 blinded reviewers. RESULTS AMP-NCM accuracy was asymptotic at 60 catheter positions in computational modeling. Twenty patients (age 65 ± 12 years; 19 male) with 26 ATs (5 focal, 21 reentrant) were studied. Morphologic correlation of signals derived from AMP-NCM was significantly better than those from SP-NCM compared to contact signals (median 0.93 vs 0.76; P <.001). AMP-NCM generated maps more rapidly than contact mapping (3 ± 1 minutes vs 13 ± 6 minutes; P <.001) and correctly diagnosed AT mechanisms in 25 of 26 maps (96%). Overall, 80% of arrhythmia mechanisms were correctly identified using AMP-NCM by blinded reviewers. CONCLUSION Once 60 catheter positions were achieved, AMP-NCM successfully diagnosed mechanisms of AT and identified treatment sites equal to gold standard contact mapping in 3 minutes of procedural time.
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13
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Schotten U, Lee S, Zeemering S, Waldo AL. Paradigm shifts in electrophysiological mechanisms of atrial fibrillation. Europace 2021; 23:ii9-ii13. [PMID: 33837750 DOI: 10.1093/europace/euaa384] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 12/03/2020] [Indexed: 11/12/2022] Open
Abstract
Determining the sequence of activation is a major source of information for understanding the electrophysiological mechanism(s) of atrial fibrillation (AF). However, the complex morphology of the electrograms hampers their analysis, and has stimulated generations of electrophysiologists to develop a large variety of technologies for recording, pre-processing, and analysis of fibrillation electrograms. This variability of approaches is mirrored by a large variability in the interpretation of fibrillation electrograms and, thereby, opinions regarding the basic electrophysiological mechanism(s) of AF vary widely. Multiple wavelets, different types of re-entry including rotors, double layers, multiple focal activation patterns all have been advocated, and a comprehensive and commonly accepted paradigm for the fundamental mechanisms of AF is still lacking. Here, we summarize the Maastricht perspective and Cleveland perspective regarding AF mechanism(s). We also describe some of the key observations in mapping of AF reported over the past decades, and how they changed over the years, often as results of new techniques introduced in the experimental field of AF research.
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Affiliation(s)
- Ulrich Schotten
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Universiteitssingel 50 6229 ER, Maastricht, The Netherlands
| | - Seungyup Lee
- Department of Medicine, Cardiovascular Research Institute, Case Western Reserve University/University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Stef Zeemering
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Universiteitssingel 50 6229 ER, Maastricht, The Netherlands
| | - Albert L Waldo
- Department of Medicine, Cardiovascular Research Institute, Case Western Reserve University/University Hospitals Cleveland Medical Center, Cleveland, OH, USA
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14
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Baykaner T, Fazal M, Patel S, Zaman J. Is there rule to the chaos: Defining stable patterns in atrial fibrillation. J Cardiovasc Electrophysiol 2021; 32:2404-2407. [PMID: 34260124 DOI: 10.1111/jce.15169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Accepted: 07/07/2021] [Indexed: 11/28/2022]
Affiliation(s)
- Tina Baykaner
- Department of Cardiovascular Medicine, Stanford University, Stanford, California, USA
| | - Muhammad Fazal
- Department of Cardiovascular Medicine, Stanford University, Stanford, California, USA
| | - Sagar Patel
- Department of Cardiovascular Medicine, University of Southern California, Los Angeles, California, USA
| | - Junaid Zaman
- Department of Cardiovascular Medicine, University of Southern California, Los Angeles, California, USA
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15
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Investigational Anti-Atrial Fibrillation Pharmacology and Mechanisms by Which Antiarrhythmics Terminate the Arrhythmia: Where Are We in 2020? J Cardiovasc Pharmacol 2021; 76:492-505. [PMID: 33165131 PMCID: PMC7641178 DOI: 10.1097/fjc.0000000000000892] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Antiarrhythmic drugs remain the mainstay therapy for patients with atrial fibrillation (AF). A major disadvantage of the currently available anti-AF agents is the risk of induction of ventricular proarrhythmias. Aiming to reduce this risk, several atrial-specific or -selective ion channel block approaches have been introduced for AF suppression, but only the atrial-selective inhibition of the sodium channel has been demonstrated to be valid in both experimental and clinical studies. Among the other pharmacological anti-AF approaches, “upstream therapy” has been prominent but largely disappointing, and pulmonary delivery of anti-AF drugs seems to be promising. Major contradictions exist in the literature about the electrophysiological mechanisms of AF (ie, reentry or focal?) and the mechanisms by which anti-AF drugs terminate AF, making the search for novel anti-AF approaches largely empirical. Drug-induced termination of AF may or may not be associated with prolongation of the atrial effective refractory period. Anti-AF drug research has been largely based on the “suppress reentry” ideology; however, results of the AF mapping studies increasingly indicate that nonreentrant mechanism(s) plays an important role in the maintenance of AF. Also, the analysis of anti-AF drug-induced electrophysiological alterations during AF, conducted in the current study, leans toward the focal source as the prime mechanism of AF maintenance. More effort should be placed on the investigation of pharmacological suppression of the focal mechanisms.
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16
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Kowalewski C. Mapping atrial fibrillation : An overview of potential mechanisms underlying atrial fibrillation. Herz 2021; 46:305-311. [PMID: 34104977 DOI: 10.1007/s00059-021-05045-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/29/2021] [Indexed: 11/24/2022]
Abstract
Mechanisms sustaining atrial fibrillation are yet to be clarified. This article focuses on milestones in the theory of atrial fibrillation and addresses the different leading hypotheses concerning atrial fibrillation mechanisms. We start off with electric potential originating from the pulmonary vein, which triggers atrial fibrillation, discuss classic activation mapping and phase mapping as well as computer models, which have contributed to the our understanding of atrial fibrillation, and end with new mapping methods and studies highlighting the advantages and disadvantages of current mechanistic hypotheses. The technical evolution of mapping atrial fibrillation has led to new insights into the potential mechanisms underlying atrial fibrillation. A comparison between methods is essential for understanding the advantages and disadvantages of each method when mapping atrial fibrillation. Ultimately, the combination of several methods might shed light on the underlying mechanisms of atrial fibrillation and lead to a better understanding of atrial fibrillation and subsequently improve treatment of this condition.
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17
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Van Nieuwenhuyse E, Martinez-Mateu L, Saiz J, Panfilov AV, Vandersickel N. Directed graph mapping exceeds phase mapping in discriminating true and false rotors detected with a basket catheter in a complex in-silico excitation pattern. Comput Biol Med 2021; 133:104381. [PMID: 33901713 PMCID: PMC8204274 DOI: 10.1016/j.compbiomed.2021.104381] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 04/02/2021] [Accepted: 04/02/2021] [Indexed: 12/04/2022]
Abstract
Atrial fibrillation (AF) is the most frequently encountered arrhythmia in clinical practise. One of the major problems in the management of AF is the difficulty in identifying the arrhythmia sources from clinical recordings. That difficulty occurs because it is currently impossible to verify algorithms which determine these sources in clinical data, as high resolution true excitation patterns cannot be recorded in patients. Therefore, alternative approaches, like computer modelling are of great interest. In a recent published study such an approach was applied for the verification of one of the most commonly used algorithms, phase mapping (PM). A meandering rotor was simulated in the right atrium and a basket catheter was placed at 3 different locations: at the Superior Vena Cava (SVC), the Crista Terminalis (CT) and at the Coronary Sinus (CS). It was shown that although PM can identify the true source, it also finds several false sources due to the far-field effects and interpolation errors in all three positions. In addition, the detection efficiency strongly depended on the basket location. Recently, a novel tool was developed to analyse any arrhythmia called Directed Graph Mapping (DGM). DGM is based on network theory and creates a directed graph of the excitation pattern, from which the location and the source of the arrhythmia can be detected. Therefore, the objective of the current study was to compare the efficiency of DGM with PM on the basket dataset of this meandering rotor. The DGM-tool was applied for a wide variety of conduction velocities (minimal and maximal), which are input parameters of DGM. Overall we found that DGM was able to distinguish between the true rotor and false rotors for both the SVC and CT basket positions. For example, for the SVC position with a CVmin=0.01cmms, DGM detected the true core with a prevalence of 82% versus 94% for PM. Three false rotors where detected for 39.16% (DGM) versus 100% (PM); 22.64% (DGM) versus 100% (PM); and 0% (DGM) versus 57% (PM). Increasing CVmin to 0.02cmms had a stronger effect on the false rotors than on the true rotor. This led to a detection rate of 56.6% for the true rotor, while all the other false rotors disappeared. A similar trend was observed for the CT position. For the CS position, DGM already had a low performance for the true rotor for CVmin=0.01cmms (14.7%). For CVmin=0.02cmms the false and the true rotors could therefore not be distinguished. We can conclude that DGM can overcome some of the limitations of PM by varying one of its input parameters (CVmin). The true rotor is less dependent on this parameter than the false rotors, which disappear at a CVmin=0.02cmms. In order to increase to detection rate of the true rotor, one can decrease CVmin and discard the new rotors which also appear at lower values of CVmin.
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Affiliation(s)
| | - Laura Martinez-Mateu
- Departamento de Teoría de La Señal y Las Comunicaciones y Sistemas Telemáticos y Computación, Universidad Rey Juan Carlos, Madrid, Spain
| | - Javier Saiz
- Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, Spain
| | - Alexander V Panfilov
- Department of Physics and Astronomy, Ghent University, Ghent, Belgium; Ural Federal University, Ekaterinburg, Russia; World-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov University, Moscow, Russia
| | - Nele Vandersickel
- Department of Physics and Astronomy, Ghent University, Ghent, Belgium
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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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Lee S, Khrestian CM, Sahadevan J, Markowitz A, Waldo AL. New Insights Into Understanding Rotor Versus Focal Activation in Patients With Persistent Atrial Fibrillation. JACC Clin Electrophysiol 2021; 7:909-919. [PMID: 33640352 DOI: 10.1016/j.jacep.2020.12.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 11/09/2020] [Accepted: 12/01/2020] [Indexed: 11/26/2022]
Abstract
OBJECTIVES This study was to test the hypotheses that: 1) when using phase analysis, repetitive Wannabe re-entry produces a phase singularity point (i.e., a rotor); and 2) the location of the stable rotor is close to the focal source. BACKGROUND Recent contact mapping studies in patients with persistent atrial fibrillation (AF) demonstrated that phase analysis produced a different mechanistic result than classical activation sequence analysis. Our studies in patients with persistent AF showed that focal sources sometimes produced repetitive Wannabe re-entry, that is, incomplete re-entry. METHODS During open heart surgery, we recorded activation from both atria simultaneously using 510 to 512 electrodes in 12 patients with persistent AF. We performed activation sequence mapping and phase analyses on 4 s of mapped data. For each detected stable rotor (>2 full rotations [720°] recurring at the same site), the corresponding activation patterns were examined from the activation sequence maps. RESULTS During AF, phase singularity points (rotors) were identified in both atria in all patients. However, stable phase singularity points were only present in 6 of 12 patients. The range of stable phase singularity points per patient was 0 to 6 (total 14). Stable phase singularity points were produced due to repetitive Wannabe re-entry generated from a focal source or by passive activation. A conduction block sometimes created a stable phase singularity point (n = 2). The average distance between a focal source and a stable rotor was 0.9 ± 0.3 cm. CONCLUSIONS Repetitive Wannabe re-entry generated stable rotors adjacent to a focal source. No true re-entry occurred.
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Affiliation(s)
- Seungyup Lee
- Departments of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Celeen M Khrestian
- Departments of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Jayakumar Sahadevan
- Departments of Medicine, Case Western Reserve University, Cleveland, Ohio, USA; Division of Cardiovascular Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | - Alan Markowitz
- Valve Center, Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | - Albert L Waldo
- Departments of Medicine, Case Western Reserve University, Cleveland, Ohio, USA; Division of Cardiovascular Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
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20
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Shi R, Chen Z, Pope MTB, Zaman JAB, Debney M, Marinelli A, Boyalla V, Sathishkumar A, Karim N, Cantor E, Valli H, Haldar S, Jones DG, Hussain W, Markides V, Betts TR, Wong T. Individualized ablation strategy to treat persistent atrial fibrillation: Core-to-boundary approach guided by charge-density mapping. Heart Rhythm 2021; 18:862-870. [PMID: 33610744 DOI: 10.1016/j.hrthm.2021.02.014] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 02/05/2021] [Accepted: 02/08/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND Noncontact charge-density mapping allows rapid real-time global mapping of atrial fibrillation (AF), offering the opportunity for a personalized ablation strategy. OBJECTIVE The purpose of this study was to compare the 2-year outcome of an individualized strategy consisting of pulmonary vein isolation (PVI) plus core-to-boundary ablation (targeting the conduction pattern core with an extension to the nearest nonconducting boundary) guided by charge-density mapping, with an empirical PVI plus posterior wall electrical isolation (PWI) strategy. METHODS Forty patients (age 62 ± 12 years; 29 male) with persistent AF (10 ± 5 months) prospectively underwent charge-density mapping-guided PVI, followed by core-to-boundary stepwise ablation until termination of AF or depletion of identified cores. Freedom from AF/atrial tachycardia (AT) at 24 months was compared with a propensity score-matched control group of 80 patients with empirical PVI + PWI guided by conventional contact mapping. RESULTS Acute AF termination occurred in 8 of 40 patients after charge-density mapping-guided PVI alone and in 21 of the remaining 32 patients after core-to-boundary ablation in the study cohort, compared with 8 of 80 (10%) in the control cohort (P <.001). On average, 2.2 ± 0.6 cores were ablated post-PVI before acute AF termination. At 24 months, freedom from AF/AT after a single procedure was 68% in the study group vs 46% in the control group (P = .043). CONCLUSION An individualized ablation strategy consisting of PVI plus core-to-boundary ablation guided by noncontact charge-density mapping is a feasible and effective strategy for treating persistent AF, with a favorable 24-month outcome.
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Affiliation(s)
- Rui Shi
- Heart Rhythm Centre, Royal Brompton and Harefield Hospitals, Part of Guys & St Thomas NHS Foundation Trust, London, United Kingdom
| | - Zhong Chen
- Heart Rhythm Centre, Royal Brompton and Harefield Hospitals, Part of Guys & St Thomas NHS Foundation Trust, London, United Kingdom
| | - Michael T B Pope
- Oxford Biomedical Research Centre, Oxford University Hospitals NHS Trust, Oxford, United Kingdom
| | - Junaid A B Zaman
- Heart Rhythm Centre, Royal Brompton and Harefield Hospitals, Part of Guys & St Thomas NHS Foundation Trust, London, United Kingdom
| | - Mike Debney
- Heart Rhythm Centre, Royal Brompton and Harefield Hospitals, Part of Guys & St Thomas NHS Foundation Trust, London, United Kingdom
| | - Alessio Marinelli
- Heart Rhythm Centre, Royal Brompton and Harefield Hospitals, Part of Guys & St Thomas NHS Foundation Trust, London, United Kingdom
| | - Vennela Boyalla
- Heart Rhythm Centre, Royal Brompton and Harefield Hospitals, Part of Guys & St Thomas NHS Foundation Trust, London, United Kingdom
| | - Anitha Sathishkumar
- Heart Rhythm Centre, Royal Brompton and Harefield Hospitals, Part of Guys & St Thomas NHS Foundation Trust, London, United Kingdom
| | - Nabeela Karim
- Heart Rhythm Centre, Royal Brompton and Harefield Hospitals, Part of Guys & St Thomas NHS Foundation Trust, London, United Kingdom
| | - Emily Cantor
- Heart Rhythm Centre, Royal Brompton and Harefield Hospitals, Part of Guys & St Thomas NHS Foundation Trust, London, United Kingdom
| | - Haseeb Valli
- Heart Rhythm Centre, Royal Brompton and Harefield Hospitals, Part of Guys & St Thomas NHS Foundation Trust, London, United Kingdom
| | - Shouvik Haldar
- Heart Rhythm Centre, Royal Brompton and Harefield Hospitals, Part of Guys & St Thomas NHS Foundation Trust, London, United Kingdom
| | - David G Jones
- Heart Rhythm Centre, Royal Brompton and Harefield Hospitals, Part of Guys & St Thomas NHS Foundation Trust, London, United Kingdom
| | - Wajid Hussain
- Heart Rhythm Centre, Royal Brompton and Harefield Hospitals, Part of Guys & St Thomas NHS Foundation Trust, London, United Kingdom
| | - Vias Markides
- Heart Rhythm Centre, Royal Brompton and Harefield Hospitals, Part of Guys & St Thomas NHS Foundation Trust, London, United Kingdom
| | - Timothy R Betts
- Oxford Biomedical Research Centre, Oxford University Hospitals NHS Trust, Oxford, United Kingdom
| | - Tom Wong
- Heart Rhythm Centre, Royal Brompton and Harefield Hospitals, Part of Guys & St Thomas NHS Foundation Trust, London, United Kingdom.
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21
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Ho G, Lin AY, Krummen DE. Linking Electrical Drivers With Atrial Cardiomyopathy for the Targeted Treatment of Atrial Fibrillation. Front Physiol 2020; 11:570740. [PMID: 33281614 PMCID: PMC7689158 DOI: 10.3389/fphys.2020.570740] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 09/22/2020] [Indexed: 12/19/2022] Open
Abstract
The relationship between atrial fibrillation (AF) and underlying functional and structural abnormalities has received substantial attention in the research literature over the past decade. Significant progress has been made in identifying these changes using non-invasive imaging, voltage mapping, and electrical recordings. Advances in computed tomography and cardiac magnetic resonance imaging can now provide insight regarding the presence and extent of cardiac fibrosis. Additionally, multiple technologies able to identify electrical targets during AF have emerged. However, an organized strategy to employ these resources in the targeted treatment of AF remains elusive. In this work, we will discuss the basis for mechanistic importance of atrial fibrosis and scar as potential sites promoting AF and emerging technologies to identify and target these structural and functional substrates in the electrophysiology laboratory. We also propose an approach to the use of such technologies to serve as a basis for ongoing work in the field.
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Affiliation(s)
- Gordon Ho
- Division of Cardiology, Department of Medicine, University of California, San Diego, San Diego, CA, United States
- Division of Cardiology, Veterans Affairs San Diego Medical Center, San Diego, CA, United States
| | - Andrew Y. Lin
- Division of Cardiology, Department of Medicine, University of California, San Diego, San Diego, CA, United States
- Division of Cardiology, Veterans Affairs San Diego Medical Center, San Diego, CA, United States
| | - David E. Krummen
- Division of Cardiology, Department of Medicine, University of California, San Diego, San Diego, CA, United States
- Division of Cardiology, Veterans Affairs San Diego Medical Center, San Diego, CA, United States
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22
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Hansen BJ, Zhao J, Helfrich KM, Li N, Iancau A, Zolotarev AM, Zakharkin SO, Kalyanasundaram A, Subr M, Dastagir N, Sharma R, Artiga EJ, Salgia N, Houmsse MM, Kahaly O, Janssen PML, Mohler PJ, Mokadam NA, Whitson BA, Afzal MR, Simonetti OP, Hummel JD, Fedorov VV. Unmasking Arrhythmogenic Hubs of Reentry Driving Persistent Atrial Fibrillation for Patient-Specific Treatment. J Am Heart Assoc 2020; 9:e017789. [PMID: 33006292 PMCID: PMC7792422 DOI: 10.1161/jaha.120.017789] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Background Atrial fibrillation (AF) driver mechanisms are obscured to clinical multielectrode mapping approaches that provide partial, surface‐only visualization of unstable 3‐dimensional atrial conduction. We hypothesized that transient modulation of refractoriness by pharmacologic challenge during multielectrode mapping improves visualization of hidden paths of reentrant AF drivers for targeted ablation. Methods and Results Pharmacologic challenge with adenosine was tested in ex vivo human hearts with a history of AF and cardiac diseases by multielectrode and high‐resolution subsurface near‐infrared optical mapping, integrated with 3‐dimensional structural imaging and heart‐specific computational simulations. Adenosine challenge was also studied on acutely terminated AF drivers in 10 patients with persistent AF. Ex vivo, adenosine stabilized reentrant driver paths within arrhythmogenic fibrotic hubs and improved visualization of reentrant paths, previously seen as focal or unstable breakthrough activation pattern, for targeted AF ablation. Computational simulations suggested that shortening of atrial refractoriness by adenosine may (1) improve driver stability by annihilating spatially unstable functional blocks and tightening reentrant circuits around fibrotic substrates, thus unmasking the common reentrant path; and (2) destabilize already stable reentrant drivers along fibrotic substrates by accelerating competing fibrillatory wavelets or secondary drivers. In patients with persistent AF, adenosine challenge unmasked hidden common reentry paths (9/15 AF drivers, 41±26% to 68±25% visualization), but worsened visualization of previously visible reentry paths (6/15, 74±14% to 34±12%). AF driver ablation led to acute termination of AF. Conclusions Our ex vivo to in vivo human translational study suggests that transiently altering atrial refractoriness can stabilize reentrant paths and unmask arrhythmogenic hubs to guide targeted AF driver ablation treatment.
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Affiliation(s)
- Brian J Hansen
- Department of Physiology & Cell Biology and Frick Center for Heart Failure and Arrhythmia The Ohio State University Wexner Medical Center Columbus OH.,Davis Heart & Lung Research InstituteThe Ohio State University Wexner Medical Center Columbus OH
| | | | - Katelynn M Helfrich
- Department of Physiology & Cell Biology and Frick Center for Heart Failure and Arrhythmia The Ohio State University Wexner Medical Center Columbus OH.,Davis Heart & Lung Research InstituteThe Ohio State University Wexner Medical Center Columbus OH
| | - Ning Li
- Department of Physiology & Cell Biology and Frick Center for Heart Failure and Arrhythmia The Ohio State University Wexner Medical Center Columbus OH.,Davis Heart & Lung Research InstituteThe Ohio State University Wexner Medical Center Columbus OH
| | - Alexander Iancau
- Department of Physiology & Cell Biology and Frick Center for Heart Failure and Arrhythmia The Ohio State University Wexner Medical Center Columbus OH
| | - Alexander M Zolotarev
- Department of Physiology & Cell Biology and Frick Center for Heart Failure and Arrhythmia The Ohio State University Wexner Medical Center Columbus OH.,Skolkovo Institute of Science and Technology Moscow Russia
| | - Stanislav O Zakharkin
- Department of Physiology & Cell Biology and Frick Center for Heart Failure and Arrhythmia The Ohio State University Wexner Medical Center Columbus OH
| | - Anuradha Kalyanasundaram
- Department of Physiology & Cell Biology and Frick Center for Heart Failure and Arrhythmia The Ohio State University Wexner Medical Center Columbus OH.,Davis Heart & Lung Research InstituteThe Ohio State University Wexner Medical Center Columbus OH
| | - Megan Subr
- Department of Physiology & Cell Biology and Frick Center for Heart Failure and Arrhythmia The Ohio State University Wexner Medical Center Columbus OH
| | | | | | - Esthela J Artiga
- Department of Physiology & Cell Biology and Frick Center for Heart Failure and Arrhythmia The Ohio State University Wexner Medical Center Columbus OH.,Davis Heart & Lung Research InstituteThe Ohio State University Wexner Medical Center Columbus OH
| | - Nicholas Salgia
- Department of Physiology & Cell Biology and Frick Center for Heart Failure and Arrhythmia The Ohio State University Wexner Medical Center Columbus OH
| | - Mustafa M Houmsse
- Department of Physiology & Cell Biology and Frick Center for Heart Failure and Arrhythmia The Ohio State University Wexner Medical Center Columbus OH
| | - Omar Kahaly
- Davis Heart & Lung Research InstituteThe Ohio State University Wexner Medical Center Columbus OH.,Department of Internal Medicine The Ohio State University Wexner Medical Center Columbus OH
| | - Paul M L Janssen
- Department of Physiology & Cell Biology and Frick Center for Heart Failure and Arrhythmia The Ohio State University Wexner Medical Center Columbus OH.,Davis Heart & Lung Research InstituteThe Ohio State University Wexner Medical Center Columbus OH
| | - Peter J Mohler
- Department of Physiology & Cell Biology and Frick Center for Heart Failure and Arrhythmia The Ohio State University Wexner Medical Center Columbus OH.,Davis Heart & Lung Research InstituteThe Ohio State University Wexner Medical Center Columbus OH
| | - Nahush A Mokadam
- Davis Heart & Lung Research InstituteThe Ohio State University Wexner Medical Center Columbus OH.,Division of Cardiac Surgery The Ohio State University Wexner Medical Center Columbus OH
| | - Bryan A Whitson
- Davis Heart & Lung Research InstituteThe Ohio State University Wexner Medical Center Columbus OH.,Division of Cardiac Surgery The Ohio State University Wexner Medical Center Columbus OH
| | - Muhammad R Afzal
- Davis Heart & Lung Research InstituteThe Ohio State University Wexner Medical Center Columbus OH.,Department of Internal Medicine The Ohio State University Wexner Medical Center Columbus OH
| | - Orlando P Simonetti
- Davis Heart & Lung Research InstituteThe Ohio State University Wexner Medical Center Columbus OH.,Department of Biomedical Engineering The Ohio State University Wexner Medical Center Columbus OH
| | - John D Hummel
- Davis Heart & Lung Research InstituteThe Ohio State University Wexner Medical Center Columbus OH.,Department of Internal Medicine The Ohio State University Wexner Medical Center Columbus OH
| | - Vadim V Fedorov
- Department of Physiology & Cell Biology and Frick Center for Heart Failure and Arrhythmia The Ohio State University Wexner Medical Center Columbus OH.,Davis Heart & Lung Research InstituteThe Ohio State University Wexner Medical Center Columbus OH
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23
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Li X, Almeida TP, Dastagir N, Guillem MS, Salinet J, Chu GS, Stafford PJ, Schlindwein FS, Ng GA. Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human Atrial Fibrillation. Front Physiol 2020; 11:869. [PMID: 32792983 PMCID: PMC7386053 DOI: 10.3389/fphys.2020.00869] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 06/29/2020] [Indexed: 12/03/2022] Open
Abstract
PURPOSE Recent investigations failed to reproduce the positive rotor-guided ablation outcomes shown by initial studies for treating persistent atrial fibrillation (persAF). Phase singularity (PS) is an important feature for AF driver detection, but algorithms for automated PS identification differ. We aim to investigate the performance of four different techniques for automated PS detection. METHODS 2048-channel virtual electrogram (VEGM) and electrocardiogram signals were collected for 30 s from 10 patients undergoing persAF ablation. QRST-subtraction was performed and VEGMs were processed using sinusoidal wavelet reconstruction. The phase was obtained using Hilbert transform. PSs were detected using four algorithms: (1) 2D image processing based and neighbor-indexing algorithm; (2) 3D neighbor-indexing algorithm; (3) 2D kernel convolutional algorithm estimating topological charge; (4) topological charge estimation on 3D mesh. PS annotations were compared using the structural similarity index (SSIM) and Pearson's correlation coefficient (CORR). Optimized parameters to improve detection accuracy were found for all four algorithms using F β score and 10-fold cross-validation compared with manual annotation. Local clustering with density-based spatial clustering of applications with noise (DBSCAN) was proposed to improve algorithms 3 and 4. RESULTS The PS density maps created by each algorithm with default parameters were poorly correlated. Phase gradient threshold and search radius (or kernels) were shown to affect PS detections. The processing times for the algorithms were significantly different (p < 0.0001). The F β scores for algorithms 1, 2, 3, 3 + DBSCAN, 4 and 4 + DBSCAN were 0.547, 0.645, 0.742, 0.828, 0.656, and 0.831. Algorithm 4 + DBSCAN achieved the best classification performance with acceptable processing time (2.0 ± 0.3 s). CONCLUSION AF driver identification is dependent on the PS detection algorithms and their parameters, which could explain some of the inconsistencies in rotor-guided ablation outcomes in different studies. For 3D triangulated meshes, algorithm 4 + DBSCAN with optimal parameters was the best solution for real-time, automated PS detection due to accuracy and speed. Similarly, algorithm 3 + DBSCAN with optimal parameters is preferred for uniform 2D meshes. Such algorithms - and parameters - should be preferred in future clinical studies for identifying AF drivers and minimizing methodological heterogeneities. This would facilitate comparisons in rotor-guided ablation outcomes in future works.
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Affiliation(s)
- Xin Li
- Department of Cardiovascular Science, University of Leicester, Leicester, United Kingdom
- School of Engineering, University of Leicester, Leicester, United Kingdom
| | - Tiago P. Almeida
- Department of Cardiovascular Science, University of Leicester, Leicester, United Kingdom
- School of Engineering, University of Leicester, Leicester, United Kingdom
- Aeronautics Institute of Technology, ITA, São José dos Campos, Brazil
| | - Nawshin Dastagir
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | | | - João Salinet
- Centre for Engineering, Modelling and Applied Social Sciences, Federal University of ABC, Santo André, Brazil
| | - Gavin S. Chu
- Department of Cardiovascular Science, University of Leicester, Leicester, United Kingdom
| | - Peter J. Stafford
- National Institute for Health Research Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Fernando S. Schlindwein
- School of Engineering, University of Leicester, Leicester, United Kingdom
- National Institute for Health Research Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - G. André Ng
- Department of Cardiovascular Science, University of Leicester, Leicester, United Kingdom
- National Institute for Health Research Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
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24
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Ganesan P, Narayan SM. Re-evaluating the multiple wavelet hypothesis for atrial fibrillation. Heart Rhythm 2020; 17:2219-2220. [PMID: 32673795 DOI: 10.1016/j.hrthm.2020.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 07/08/2020] [Indexed: 11/30/2022]
Affiliation(s)
- Prasanth Ganesan
- Cardiovascular Institute and Division of Cardiology, Stanford University, Stanford, California
| | - Sanjiv M Narayan
- Cardiovascular Institute and Division of Cardiology, Stanford University, Stanford, California.
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25
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Alhusseini MI, Abuzaid F, Rogers AJ, Zaman JAB, Baykaner T, Clopton P, Bailis P, Zaharia M, Wang PJ, Rappel WJ, Narayan SM. Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial Fibrillation. Circ Arrhythm Electrophysiol 2020; 13:e008160. [PMID: 32631100 DOI: 10.1161/circep.119.008160] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Advances in ablation for atrial fibrillation (AF) continue to be hindered by ambiguities in mapping, even between experts. We hypothesized that convolutional neural networks (CNN) may enable objective analysis of intracardiac activation in AF, which could be applied clinically if CNN classifications could also be explained. METHODS We performed panoramic recording of bi-atrial electrical signals in AF. We used the Hilbert-transform to produce 175 000 image grids in 35 patients, labeled for rotational activation by experts who showed consistency but with variability (kappa [κ]=0.79). In each patient, ablation terminated AF. A CNN was developed and trained on 100 000 AF image grids, validated on 25 000 grids, then tested on a separate 50 000 grids. RESULTS In the separate test cohort (50 000 grids), CNN reproducibly classified AF image grids into those with/without rotational sites with 95.0% accuracy (CI, 94.8%-95.2%). This accuracy exceeded that of support vector machines, traditional linear discriminant, and k-nearest neighbor statistical analyses. To probe the CNN, we applied gradient-weighted class activation mapping which revealed that the decision logic closely mimicked rules used by experts (C statistic 0.96). CONCLUSIONS CNNs improved the classification of intracardiac AF maps compared with other analyses and agreed with expert evaluation. Novel explainability analyses revealed that the CNN operated using a decision logic similar to rules used by experts, even though these rules were not provided in training. We thus describe a scaleable platform for robust comparisons of complex AF data from multiple systems, which may provide immediate clinical utility to guide ablation. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02997254. Graphic Abstract: A graphic abstract is available for this article.
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Affiliation(s)
- Mahmood I Alhusseini
- Department of Medicine (M.I.A., A.J.R., J.A.B.Z., T.B., P.C., P.J.W., S.M.N.), Stanford University
| | - Firas Abuzaid
- Department of Computer Science (F.A., P.B., M.Z.), Stanford University
| | - Albert J Rogers
- Department of Medicine (M.I.A., A.J.R., J.A.B.Z., T.B., P.C., P.J.W., S.M.N.), Stanford University
| | - Junaid A B Zaman
- Department of Medicine (M.I.A., A.J.R., J.A.B.Z., T.B., P.C., P.J.W., S.M.N.), Stanford University
| | - Tina Baykaner
- Department of Medicine (M.I.A., A.J.R., J.A.B.Z., T.B., P.C., P.J.W., S.M.N.), Stanford University
| | - Paul Clopton
- Department of Medicine (M.I.A., A.J.R., J.A.B.Z., T.B., P.C., P.J.W., S.M.N.), Stanford University
| | - Peter Bailis
- Department of Computer Science (F.A., P.B., M.Z.), Stanford University
| | - Matei Zaharia
- Department of Computer Science (F.A., P.B., M.Z.), Stanford University
| | - Paul J Wang
- Department of Medicine (M.I.A., A.J.R., J.A.B.Z., T.B., P.C., P.J.W., S.M.N.), Stanford University
| | - Wouter-Jan Rappel
- Department of Physics, University of California, San Diego (W.-J.R.)
| | - Sanjiv M Narayan
- Department of Medicine (M.I.A., A.J.R., J.A.B.Z., T.B., P.C., P.J.W., S.M.N.), Stanford University
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26
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Lee S, Khrestian CM, Sahadevan J, Waldo AL. Reconsidering the multiple wavelet hypothesis of atrial fibrillation. Heart Rhythm 2020; 17:1976-1983. [PMID: 32585192 DOI: 10.1016/j.hrthm.2020.06.017] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 06/15/2020] [Accepted: 06/17/2020] [Indexed: 11/15/2022]
Abstract
BACKGROUND Moe and Abildskov proposed the multiple wavelet hypothesis of atrial fibrillation (AF) on the basis of observations in the canine vagal nerve stimulation (VNS) AF model. Data from mapping studies in an in vitro canine AF model by Allessie et al (Allessie MA, Lammers WJEP, Bonke FIM, Hollen SJ. Experimental evaluation of Moe's multiple wavelet hypothesis of atrial fibrillation. In: Zipes DP, Jalife J, eds. Cardiac Electrophysiology and Arrhythmias. Orlando, FL: Grune & Stratton; 1985:265-275.) were used to evaluate the Moe/Abildskov hypothesis, which revealed that a critical number of wavelets sustained AF. OBJECTIVE The purpose of this study was to reassess VNS mapping data using the same methods used by Allessie to evaluate Moe's multiple wavelet hypothesis. METHODS Using the canine VNS AF model in 6 dogs, 510 unipolar atrial electrograms were recorded simultaneously from both atria. Activation sequence maps were produced from sustained AF during VNS in each dog. Per Allessie, consecutive 10 ms activation windows were analyzed over a period of 300 ms. Repetitive activation analysis was applied to Moe's canine VNS AF model. RESULTS The number of wavefronts in each AF episode was 0-8 in Allessie's studies measured by sequential atrial mapping and 0-10 in our biatrial simultaneous mapping studies. In both studies, an electrically silent period was observed in each atrium and was reactivated by wavefronts emanating from focal sources. Allessie postulated that an electrically silent atrium was reactivated by a wavefront propagating from the other atrium. However, in our biatrial simultaneous mapping studies, each electrically silent atrium was reactivated by a distinct focal source. CONCLUSION Data from both studies showed a similar number of wavefronts, similar AF activation patterns, and periods of electrical atrial silence reactivated by focal sources. Also, in our studies, independent focal sources initiated wavefronts reactivating the atria, thereby explaining the mechanism maintaining AF.
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Affiliation(s)
- Seungyup Lee
- Department of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Celeen M Khrestian
- Department of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Jayakumar Sahadevan
- Department of Medicine, Case Western Reserve University, Cleveland, Ohio; Division of Cardiovascular Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio
| | - Albert L Waldo
- Department of Medicine, Case Western Reserve University, Cleveland, Ohio; Division of Cardiovascular Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio.
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27
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Rogers AJ, Baykaner T, Narayan SM. The interconnected atrium: Acute impact of pulmonary vein isolation on remote atrial tissue. J Cardiovasc Electrophysiol 2020; 31:913-914. [PMID: 32090385 PMCID: PMC7500578 DOI: 10.1111/jce.14389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 02/07/2020] [Indexed: 11/29/2022]
Affiliation(s)
- Albert J Rogers
- Department of Medicine and Stanford Cardiovascular Institute, Stanford University, Stanford, California
| | - Tina Baykaner
- Department of Medicine and Stanford Cardiovascular Institute, Stanford University, Stanford, California
| | - Sanjiv M Narayan
- Department of Medicine and Stanford Cardiovascular Institute, Stanford University, Stanford, California
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28
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Dhillon GS, Schilling RJ, Honarbakhsh S, Graham A, Abbass H, Waddingham P, Sawhney V, Creta A, Sporton S, Finlay M, Providencia R, Chow A, Earley MJ, Lowe M, Lambiase PD, Hunter RJ. Impact of pulmonary vein isolation on mechanisms sustaining persistent atrial fibrillation: Predicting the acute response. J Cardiovasc Electrophysiol 2020; 31:903-912. [PMID: 32048786 DOI: 10.1111/jce.14392] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 01/06/2020] [Accepted: 01/10/2020] [Indexed: 01/06/2023]
Abstract
BACKGROUND Noninvasive mapping identifies potential drivers (PDs) in atrial fibrillation (AF). We analyzed the impact of pulmonary vein isolation (PVI) on PDs and whether baseline PD pattern predicted termination of AF. METHODS Patients with persistent AF less than 2 years underwent electrocardiographic imaging mapping before and after cryoballoon PVI. We recorded the number of PD occurrences, characteristics (rotational wavefronts ≥ 1.5 revolutions or focal activations), and distribution using an 18-segment atrial model. RESULTS Of 100 patients recruited, PVI terminated AF in 15 patients; 21.3% ± 9.1% (8.7 ± 4.8) of PDs occurred at the pulmonary veins (PVs) and posterior wall. PVI had no impact on PD occurrences outside the PVs and posterior wall (33.2 ± 12.9 vs 31.6 ± 12.5; P = .164), distribution over the remaining 13 segments (9 [8-11] vs 9 [8-10]; P = .634), the proportion of PDs that was rotational (82.9% ± 9.7% vs 83.6% ± 10.1%; P = .496), or temporal stability (2.4 ± 0.4 vs 2.4 ± 0.5 rotations; P = .541). Fewer focal PDs (area under the curve, 0.683; 95% CI, 0.528-0.839; P = .024) but not rotational PDs (P = .626) predicted AF termination with PVI. CONCLUSIONS PVI did not have a global impact on PDs outside the PVs and posterior wall. Although fewer focal PDs predicted termination of AF with PVI, the burden of rotational PDs did not. It is accepted though not all PDs are necessarily real or important. Outcome data are needed to confirm whether noninvasive mapping can predict patients likely to respond to PVI.
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Affiliation(s)
- Gurpreet S Dhillon
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Richard J Schilling
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Shohreh Honarbakhsh
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Adam Graham
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Hakam Abbass
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Peter Waddingham
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Vinit Sawhney
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Antonio Creta
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Simon Sporton
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Malcolm Finlay
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Rui Providencia
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Anthony Chow
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Mark J Earley
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Martin Lowe
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Pier D Lambiase
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Ross J Hunter
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
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Getting in Contact With Atrial Fibrillation or Not. JACC Clin Electrophysiol 2020; 6:182-184. [DOI: 10.1016/j.jacep.2019.10.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 10/17/2019] [Indexed: 11/19/2022]
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Costoya-Sánchez A, Climent AM, Hernández-Romero I, Liberos A, Fernández-Avilés F, Narayan SM, Atienza F, Guillem MS, Rodrigo M. Automatic quality electrogram assessment improves phase-based reentrant activity identification in atrial fibrillation. Comput Biol Med 2020; 117:103593. [PMID: 32072974 PMCID: PMC10984645 DOI: 10.1016/j.compbiomed.2019.103593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 12/20/2019] [Accepted: 12/23/2019] [Indexed: 11/30/2022]
Abstract
Identification of reentrant activity driving atrial fibrillation (AF) is increasingly important to ablative therapies. The goal of this work is to study how the automatically-classified quality of the electrograms (EGMs) affects reentrant AF driver localization. EGMs from 259 AF episodes obtained from 29 AF patients were recorded using 64-poles basket catheters and were manually classified according to their quality. An algorithm capable of identifying signal quality was developed using time and spectral domain parameters. Electrical reentries were identified in 3D phase maps using phase transform and were compared with those obtained with a 2D activation-based method. Effect of EGM quality was studied by discarding 3D phase reentries detected in regions with low-quality EGMs. Removal of reentries identified by 3D phase analysis in regions with low-quality EGMs improved its performance, increasing the area under the ROC curve (AUC) from 0.69 to 0.80. The EGMs quality classification algorithm showed an accurate performance for EGM classification (AUC 0.94) and reentry detection (AUC 0.80). Automatic classification of EGM quality based on time and spectral signal parameters is feasible and accurate, avoiding the manual labelling. Discard of reentries identified in regions with automatically-detected poor-quality EGMs improved the specificity of the 3D phase-based method for AF driver identification.
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Affiliation(s)
| | - Andreu M Climent
- ITACA Institute, Universitat Politècnica de València, Spain; Cardiology Department, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERCV, Spain
| | | | | | | | | | - Felipe Atienza
- Cardiology Department, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERCV, Spain
| | | | - Miguel Rodrigo
- ITACA Institute, Universitat Politècnica de València, Spain.
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Falkenberg M, Ford AJ, Li AC, Lawrence R, Ciacci A, Peters NS, Christensen K. Unified mechanism of local drivers in a percolation model of atrial fibrillation. Phys Rev E 2019; 100:062406. [PMID: 31962501 PMCID: PMC7314598 DOI: 10.1103/physreve.100.062406] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Indexed: 11/07/2022]
Abstract
The mechanisms of atrial fibrillation (AF) are poorly understood, resulting in disappointing success rates of ablative treatment. Different mechanisms defined largely by different atrial activation patterns have been proposed and, arguably, this dispute has slowed the progress of AF research. Recent clinical evidence suggests a unifying mechanism of local drivers based on sustained reentrant circuits in the complex atrial architecture. Here, we present a percolation inspired computational model showing spontaneous emergence of AF that strongly supports, and gives a theoretical explanation for, the clinically observed diversity of activation. We show that the difference in surface activation patterns is a direct consequence of the thickness of the discrete network of heart muscle cells through which electrical signals percolate to reach the imaged surface. The model naturally follows the clinical spectrum of AF spanning sinus rhythm, paroxysmal AF, and persistent AF as the decoupling of myocardial cells results in the lattice approaching the percolation threshold. This allows the model to make the prediction that, for paroxysmal AF, reentrant circuits emerge near the endocardium, but in persistent AF they emerge deeper in the bulk of the atrial wall. If experimentally verified, this may go towards explaining the lowering ablation success rate as AF becomes more persistent.
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Affiliation(s)
- Max Falkenberg
- Blackett Laboratory, Imperial College London, London SW7 2AZ, United Kingdom
- Centre for Complexity Science, Imperial College London, London SW7 2AZ, United Kingdom
- Centre for Cardiac Engineering, Imperial College London, London W12 0NN, United Kingdom
| | - Andrew J. Ford
- Blackett Laboratory, Imperial College London, London SW7 2AZ, United Kingdom
| | - Anthony C. Li
- Blackett Laboratory, Imperial College London, London SW7 2AZ, United Kingdom
| | - Robert Lawrence
- Blackett Laboratory, Imperial College London, London SW7 2AZ, United Kingdom
| | - Alberto Ciacci
- Blackett Laboratory, Imperial College London, London SW7 2AZ, United Kingdom
- Centre for Complexity Science, Imperial College London, London SW7 2AZ, United Kingdom
- Centre for Cardiac Engineering, Imperial College London, London W12 0NN, United Kingdom
| | - Nicholas S. Peters
- Centre for Cardiac Engineering, Imperial College London, London W12 0NN, United Kingdom
- National Heart & Lung Institute, Imperial College London, London, W12 0NN, United Kingdom
| | - Kim Christensen
- Blackett Laboratory, Imperial College London, London SW7 2AZ, United Kingdom
- Centre for Complexity Science, Imperial College London, London SW7 2AZ, United Kingdom
- Centre for Cardiac Engineering, Imperial College London, London W12 0NN, United Kingdom
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32
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Baykaner T, Zaman JAB. Another method that shows organization in persistent AF? That's a RAAP. J Cardiovasc Electrophysiol 2019; 30:2713-2715. [PMID: 31588642 DOI: 10.1111/jce.14215] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 09/30/2019] [Indexed: 11/28/2022]
Affiliation(s)
- Tina Baykaner
- Division of Cardiology and Cardiovascular Institute, Stanford University, Stanford, California
| | - Junaid A B Zaman
- Division of Cardiology and Cardiovascular Institute, Stanford University, Stanford, California
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33
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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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Swerdlow M, Tamboli M, Alhusseini MI, Moosvi N, Rogers AJ, Leef G, Wang PJ, Rillig A, Brachmann J, Sauer WH, Ruppersberg P, Narayan SM, Baykaner T. Comparing phase and electrographic flow mapping for persistent atrial fibrillation. PACING AND CLINICAL ELECTROPHYSIOLOGY: PACE 2019; 42:499-507. [PMID: 30882924 DOI: 10.1111/pace.13649] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 01/17/2019] [Accepted: 02/04/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND An increasing number of methods are being used to map atrial fibrillation (AF), yet the sensitivity of identifying potential localized AF sources of these novel methods are unclear. Here, we report a comparison of two approaches to map AF based upon (1) electrographic flow mapping and (2) phase mapping in a multicenter registry of patients in whom ablation terminated persistent AF. METHODS Fifty-three consecutive patients with persistent AF in whom ablation terminated AF in an international multicenter registry were enrolled. Electrographic flow mapping (EGF) and phase mapping were applied to the multipolar simultaneous electrograms recorded from a 64-pole basket catheter in the chamber (left vs right atrium) where AF termination occurred. We analyzed if the mapping methods were able to detect localized sources at the AF termination site. We also analyzed global results of mapping AF for each method, patterns of activation of localized sources. RESULTS Patients were 64.3 ± 9.4 years old and 69.8% were male. EGF and phase mapping identified localized sources at AF termination sites in 81% and 83% of the patients, respectively. Methods were complementary and in only n = 2 (3.7%) neither method identified a source. Globally, EGF identified more localized sources than phase mapping (5.3 ± 2.8 vs 1.8 ± 0.5, P < 0.001), with a higher prevalence of focal (compared to rotational) activation pattern (49% vs 2%, P < 0.01). CONCLUSIONS EGF is a novel vectorial-based AF mapping method, which can detect sites of AF termination, agreeing with, and complementary to, an alternative AF mapping method using phase analysis.
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Affiliation(s)
- M Swerdlow
- Cardiovascular Medicine, Stanford University, Stanford, California
| | - M Tamboli
- Cardiovascular Medicine, Stanford University, Stanford, California
| | - M I Alhusseini
- Cardiovascular Medicine, Stanford University, Stanford, California
| | - N Moosvi
- Cardiovascular Medicine, Stanford University, Stanford, California
| | - A J Rogers
- Cardiovascular Medicine, Stanford University, Stanford, California
| | - G Leef
- Cardiovascular Medicine, Stanford University, Stanford, California
| | - P J Wang
- Cardiovascular Medicine, Stanford University, Stanford, California
| | - A Rillig
- Cardiology, Asklepios Klinik St. Georg, Hamburg, Germany
| | - J Brachmann
- Cardiology, II Medizinische Klinik Klinikum Coburg, Coburg, Germany
| | - W H Sauer
- Cardiology, University of Colorado at Denver and Health Sciences Center, Denver, Colorado
| | | | - S M Narayan
- Cardiovascular Medicine, Stanford University, Stanford, California
| | - T Baykaner
- Cardiovascular Medicine, Stanford University, Stanford, California
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35
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Grace A, Willems S, Meyer C, Verma A, Heck P, Zhu M, Shi X, Chou D, Dang L, Scharf C, Scharf G, Beatty G. High-resolution noncontact charge-density mapping of endocardial activation. JCI Insight 2019; 4:126422. [PMID: 30895945 DOI: 10.1172/jci.insight.126422] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Accepted: 02/11/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Spatial resolution in cardiac activation maps based on voltage measurement is limited by far-field interference. Precise characterization of electrical sources would resolve this limitation; however, practical charge-based cardiac mapping has not been achieved. METHODS A prototype algorithm, developed from first principles of electrostatic field theory, derives charge density (CD) as a spatial representation of the true sources of the cardiac field. The algorithm processes multiple, simultaneous, noncontact voltage measurements within the cardiac chamber to inversely derive the global distribution of CD sources across the endocardial surface. RESULTS Comparison of CD to an established computer-simulated model of atrial conduction demonstrated feasibility in terms of spatial, temporal, and morphologic metrics. Inverse reconstruction matched simulation with median spatial errors of 1.73 mm and 2.41 mm for CD and voltage, respectively. Median temporal error was less than 0.96 ms and morphologic correlation was greater than 0.90 for both CD and voltage. Activation patterns observed in human atrial flutter reproduced those established through contact maps, with a 4-fold improvement in resolution noted for CD over voltage. Global activation maps (charge density-based) are reported in atrial fibrillation with confirmed reduction of far-field interference. Arrhythmia cycle-length slowing and termination achieved through ablation of critical points demonstrated in the maps indicates both mechanistic and pathophysiological relevance. CONCLUSION Global maps of cardiac activation based on CD enable classification of conduction patterns and localized nonpulmonary vein therapeutic targets in atrial fibrillation. The measurement capabilities of the approach have roles spanning deep phenotyping to therapeutic application. TRIAL REGISTRATION ClinicalTrials.gov NCT01875614. FUNDING The National Institute for Health Research (NIHR) Translational Research Program at Royal Papworth Hospital and Acutus Medical.
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Affiliation(s)
- Andrew Grace
- Royal Papworth Hospital Foundation Trust, Cambridge University Health Partners, Cambridge, United Kingdom.,Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom
| | - Stephan Willems
- University Heart Center, University Hospital, Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Meyer
- University Heart Center, University Hospital, Hamburg-Eppendorf, Hamburg, Germany
| | - Atul Verma
- Southlake Regional Health Center, Newmarket, University of Toronto, Ontario, Canada
| | - Patrick Heck
- Royal Papworth Hospital Foundation Trust, Cambridge University Health Partners, Cambridge, United Kingdom
| | - Min Zhu
- Acutus Medical Inc., Carlsbad, California, USA
| | - Xinwei Shi
- Acutus Medical Inc., Carlsbad, California, USA
| | | | - Lam Dang
- Cardiovascular Center, Klinik im Park, Zürich, Switzerland
| | | | - Günter Scharf
- Physics Institute, University of Zurich, Zurich, Switzerland
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Tzou WS, Hussein AA, Madhavan M, Viswanathan MN, Steinberg BA, Ceresnak SR, Davis DR, Park DS, Wang PJ, Kapa S. Year in Review in Cardiac Electrophysiology. Circ Arrhythm Electrophysiol 2019; 12:e007142. [PMID: 30744401 DOI: 10.1161/circep.118.007142] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Wendy S Tzou
- Department of Medicine, University of Colorado, Aurora (W.S.T.)
| | - Ayman A Hussein
- Department of Cardiovascular Medicine, Cleveland Clinic, OH (A.A.H.)
| | - Malini Madhavan
- Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, MN (M.M., S.K.)
| | - Mohan N Viswanathan
- Department of Medicine, Stanford University Medical Center, Palo Alto, CA (M.N.V., P.J.W.)
| | | | - Scott R Ceresnak
- Department of Medicine, Stanford Children's Health, Palo Alto, CA (S.R.C.)
| | - Darryl R Davis
- Division of Cardiology, University of Ottawa Heart Institute, Ontario, Canada (D.R.D.)
| | - David S Park
- Department of Medicine, New York University Langone Health, NY (D.S.P.)
| | - Paul J Wang
- Department of Medicine, Stanford University Medical Center, Palo Alto, CA (M.N.V., P.J.W.)
| | - Suraj Kapa
- Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, MN (M.M., S.K.)
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Verma A, Sarkozy A, Skanes A, Duytschaever M, Bulava A, Urman R, Amos YA, Potter TD. Characterization and significance of localized sources identified by a novel automated algorithm during mapping of human persistent atrial fibrillation. J Cardiovasc Electrophysiol 2018; 29:1480-1488. [DOI: 10.1111/jce.13742] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Revised: 07/11/2018] [Accepted: 07/31/2018] [Indexed: 11/27/2022]
Affiliation(s)
- Atul Verma
- Department of Cardiology, Southlake Regional Health Center, University of Toronto Canada
| | | | - Allan Skanes
- Department of Cardiology, London Health Sciences CenterLondon Canada
| | | | - Alan Bulava
- Department of Cardiology, University of South BohemiaCeske Budejovice Czech Republic
| | - Roy Urman
- Haifa Technology Center, Biosense WebsterHaifa Israel
| | - Yariv A. Amos
- Haifa Technology Center, Biosense WebsterHaifa Israel
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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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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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40
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Shariat MH, Hashemi J, Gazor S, Redfearn DP. Regional Dominant Frequency: A New Tool for Wave Break Identification During Atrial Fibrillation. Front Cardiovasc Med 2018; 5:79. [PMID: 29988509 PMCID: PMC6026623 DOI: 10.3389/fcvm.2018.00079] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Accepted: 06/08/2018] [Indexed: 12/18/2022] Open
Abstract
Cardiac mapping systems are based on the time/frequency feature analyses of intracardiac electrograms recorded from individual bipolar/unipolar electrodes. Signals from each electrode are processed independently. Such approaches fail to investigate the interrelationship between simultaneously recorded channels of any given mapping catheter during atrial fibrillation (AF). We introduce a novel signal processing technique that reflects regional dominant frequency (RDF) components. We show that RDF can be used to identify and characterize variation and disorganization in wavefront propagation- wave breaks. The intracardiac electrograms from the left atrium of 15 patients were exported to MATLAB and custom software employed to estimate RDF and wave break rate (WBR). We observed a heterogeneous distribution of both RDF and WBR; the two measures were weakly correlated (0.3; p < 0.001). We identified locations of AF or atrial tachycardia (ATach) termination and later compared offline with RDF and WBR maps. We inspected our novel metrics for associations with AF termination sites. Areas associated with AF termination demonstrated high RDF and low WBR (↑RDF,↓WBR). These sites were present in 14 of 15 patients (mean 2.6 ± 1.2 sites per patient; range, 1-4 sites), 43% situated within the pulmonary veins. In nine patients where AF terminated to sinus rhythm (6) or ATach (3), post-hoc analysis demonstrated all ↑RDF,↓WBR sites were ablated and correlated with AF termination sites. The proposed RDF signal processing tools can be used to identify and quantify wave break, and the combined use of these two novel metrics can aid characterization of AF. Further prospective studies are warranted.
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Affiliation(s)
- Mohammad Hassan Shariat
- Department of Medicine, Queen's University, Kingston, ON, Canada
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Javad Hashemi
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Saeed Gazor
- Department of Electrical and Computer Engineering, Queen's University, Kingston, ON, Canada
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Navara R, Leef G, Shenasa F, Kowalewski C, Rogers AJ, Meckler G, Zaman JAB, Baykaner T, Park S, Turakhia MP, Zei P, Viswanathan M, Wang PJ, Narayan SM. Independent mapping methods reveal rotational activation near pulmonary veins where atrial fibrillation terminates before pulmonary vein isolation. J Cardiovasc Electrophysiol 2018; 29:687-695. [PMID: 29377478 DOI: 10.1111/jce.13446] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Revised: 01/16/2018] [Accepted: 01/18/2018] [Indexed: 01/02/2023]
Abstract
OBJECTIVE To investigate mechanisms by which atrial fibrillation (AF) may terminate during ablation near the pulmonary veins before the veins are isolated (PVI). INTRODUCTION It remains unstudied how AF may terminate during ablation before PVs are isolated, or how patients with PV reconnection can be arrhythmia-free. We studied patients in whom PV antral ablation terminated AF before PVI, using two independent mapping methods. METHODS We studied patients with AF referred for ablation, in whom biatrial contact basket electrograms were studied by both an activation/phase mapping method and by a second validated mapping method reported not to create false rotational activity. RESULTS In 22 patients (age 60.1 ± 10.4, 36% persistent AF), ablation at sites near the PVs terminated AF (77% to sinus rhythm) prior to PVI. AF propagation revealed rotational (n = 20) and focal (n = 2) patterns at sites of termination by mapping method 1 and method 2. Both methods showed organized sites that were spatially concordant (P < 0.001) with similar stability (P < 0.001). Vagal slowing was not observed at sites of AF termination. DISCUSSION PV antral regions where ablation terminated AF before PVI exhibited rotational and focal activation by two independent mapping methods. These data provide an alternative mechanism for the success of PVI, and may explain AF termination before PVI or lack of arrhythmias despite PV reconnection. Mapping such sites may enable targeted PV lesion sets and improved freedom from AF.
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Affiliation(s)
- Rachita Navara
- Division of Cardiology, Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - George Leef
- Division of Cardiology, Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Fatemah Shenasa
- Division of Cardiology, Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Christopher Kowalewski
- Division of Cardiology, Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.,Friedrich-Alexander Universitaet Erlangen-Nürnberg, Erlangen, Germany
| | - Albert J Rogers
- Division of Cardiology, Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Gabriela Meckler
- Division of Cardiology, Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Junaid A B Zaman
- Division of Cardiology, Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.,Imperial Centre for Cardiac Engineering, Imperial College London, London, UK
| | - Tina Baykaner
- Division of Cardiology, Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Shirley Park
- Division of Cardiology, Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.,Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Mintu P Turakhia
- Division of Cardiology, Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.,Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Paul Zei
- Division of Cardiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Mohan Viswanathan
- Division of Cardiology, Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Paul J Wang
- Division of Cardiology, Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Sanjiv M Narayan
- Division of Cardiology, Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
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Zaman JAB, Rogers AJ, Narayan SM. Rotational Drivers in Atrial Fibrillation: Are Multiple Techniques Circling Similar Mechanisms? Circ Arrhythm Electrophysiol 2017; 10:CIRCEP.117.006022. [PMID: 29254949 DOI: 10.1161/circep.117.006022] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Junaid A B Zaman
- From the Department of Medicine, Stanford University, CA (J.A.B.Z., A.J.R., S.M.N.); and Imperial Centre for Cardiac Engineering, Electrocardiomaths Programme, Imperial College London, United Kingdom (J.A.B.Z.)
| | - Albert J Rogers
- From the Department of Medicine, Stanford University, CA (J.A.B.Z., A.J.R., S.M.N.); and Imperial Centre for Cardiac Engineering, Electrocardiomaths Programme, Imperial College London, United Kingdom (J.A.B.Z.)
| | - Sanjiv M Narayan
- From the Department of Medicine, Stanford University, CA (J.A.B.Z., A.J.R., S.M.N.); and Imperial Centre for Cardiac Engineering, Electrocardiomaths Programme, Imperial College London, United Kingdom (J.A.B.Z.).
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