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Hammersley DJ, Zegard A, Androulakis E, Jones RE, Okafor O, Hatipoglu S, Mach L, Lota AS, Khalique Z, de Marvao A, Gulati A, Baruah R, Guha K, Ware JS, Tayal U, Pennell DJ, Halliday BP, Qiu T, Prasad SK, Leyva F. Arrhythmic Risk Stratification by Cardiovascular Magnetic Resonance Imaging in Patients With Nonischemic Cardiomyopathy. J Am Coll Cardiol 2024:S0735-1097(24)08109-9. [PMID: 39217566 DOI: 10.1016/j.jacc.2024.06.046] [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: 01/11/2024] [Revised: 05/30/2024] [Accepted: 06/14/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Myocardial fibrosis (MF) forms part of the arrhythmic substrate for ventricular arrhythmias (VAs). OBJECTIVES This study sought to determine whether total myocardial fibrosis (TF) and gray zone fibrosis (GZF), assessed using cardiovascular magnetic resonance, are better than left ventricular ejection fraction (LVEF) in predicting ventricular arrhythmias in patients with nonischemic cardiomyopathy (NICM). METHODS Patients with NICM in a derivation cohort (n = 866) and a validation cohort (n = 848) underwent quantification of TF and GZF. The primary composite endpoint was sudden cardiac death or VAs (ventricular fibrillation or ventricular tachycardia). RESULTS The primary endpoint was met by 52 of 866 (6.0%) patients in the derivation cohort (median follow-up: 7.5 years; Q1-Q3: 5.2-9.3 years). In competing-risks analyses, MF on visual assessment (MFVA) predicted the primary endpoint (HR: 5.83; 95% CI: 3.15-10.8). Quantified MF measures permitted categorization into 3 risk groups: a TF of >0 g and ≤10 g was associated with an intermediate risk (HR: 4.03; 95% CI: 1.99-8.16), and a TF of >10 g was associated with the highest risk (HR: 9.17; 95% CI: 4.64-18.1) compared to patients with no MFVA (lowest risk). Similar trends were observed in the validation cohort. Categorization into these 3 risk groups was achievable using TF or GZF in combination or in isolation. In contrast, LVEF of <35% was a poor predictor of the primary endpoint (validation cohort HR: 1.99; 95% CI: 0.99-4.01). CONCLUSIONS MFVA is a strong predictor of sudden cardiac death and VAs in NICM. TF and GZF mass added incremental value to MFVA. In contrast, LVEF was a poor discriminator of arrhythmic risk.
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Affiliation(s)
- Daniel J Hammersley
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom; Kings College Hospital NHS Foundation Trust, London, United Kingdom
| | - Abbasin Zegard
- University Hospitals Birmingham Queen Elizabeth, Birmingham, United Kingdom; Aston Medical School, Aston University, Birmingham, United Kingdom
| | - Emmanuel Androulakis
- Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Richard E Jones
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom; Anglia Ruskin Medical School, Chelmsford, United Kingdom; Essex Cardiothoracic Centre, Basildon, Essex, United Kingdom
| | - Osita Okafor
- University Hospitals Birmingham Queen Elizabeth, Birmingham, United Kingdom; Aston Medical School, Aston University, Birmingham, United Kingdom
| | - Suzan Hatipoglu
- Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Lukas Mach
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Amrit S Lota
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Zohya Khalique
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Antonio de Marvao
- MRC Laboratory of Medical Sciences, Imperial College London, London, United Kingdom; Department of Women and Children's Health, King's College London, London, United Kingdom; British Heart Foundation Centre of Research Excellence, School of Cardiovascular and Metabolic Medicine and Sciences, King's College London, London, United Kingdom
| | - Ankur Gulati
- Lewisham and Greenwich NHS Trust, London, United Kingdom
| | - Resham Baruah
- Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Kaushik Guha
- Portsmouth Hospitals NHS Trust, Portsmouth, United Kingdom
| | - James S Ware
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom; MRC Laboratory of Medical Sciences, Imperial College London, London, United Kingdom
| | - Upasana Tayal
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Dudley J Pennell
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Brian P Halliday
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Tian Qiu
- University Hospitals Birmingham Queen Elizabeth, Birmingham, United Kingdom
| | - Sanjay K Prasad
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Francisco Leyva
- University Hospitals Birmingham Queen Elizabeth, Birmingham, United Kingdom; Aston Medical School, Aston University, Birmingham, United Kingdom.
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2
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Garcia R, Gras D, Mansourati J, Defaye P, Bisson A, Boveda S, Gandjbakhch E, Gras M, Gueffet JP, Himbert C, Jacon P, Khattar P, Lequeux B, Li A, Mansourati V, Minois D, Marijon E, Pierre B, Probst V, Degand B. Pre-emptive treatment of heart failure exacerbations in patients managed with the HeartLogic™ algorithm. ESC Heart Fail 2024; 11:1228-1235. [PMID: 38234123 DOI: 10.1002/ehf2.14624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 10/21/2023] [Accepted: 11/20/2023] [Indexed: 01/19/2024] Open
Abstract
AIMS Heart failure (HF) is a chronic disease affecting 64 million people worldwide and places a severe burden on society because of its mortality, numerous re-hospitalizations and associated costs. HeartLogic™ is an algorithm programmed into implanted devices incorporating several biometric parameters which aims to predict HF episodes. It provides an index which can be monitored remotely, allowing pre-emptive treatment of congestion to prevent acute decompensation. We aim to assess the impact and security of pre-emptive HF management, guided by the HeartLogic™ index. METHODS AND RESULTS The HeartLogic™ France Cohort Study is an investigator-initiated, prospective, multi-centre, non-randomized study. Three hundred ten patients with a history of HF (left ventricular ejection fraction ≤40%; or at least one episode of clinical HF with elevated NT-proBNP ≥450 ng/L) and implanted with a cardioverter defibrillator enabling HeartLogic™ index calculation will be included across 10 French centres. The HeartLogic™ index will be monitored remotely for 12 months and in the event of a HeartLogic™ index ≥16, the local investigator will contact the patient for assessment and adjust HF treatment as necessary. The primary endpoint is unscheduled hospitalization for HF. Secondary endpoints are all-cause mortality, cardiovascular death, HF-related death, unscheduled hospitalizations for ventricular or atrial arrhythmia and HeartLogic™ index evolution over time. Blood samples will be collected for biobanking, and quality of life will be assessed. Finally, the safety of a HeartLogic™-triggered strategy for initiating or increasing diuretic therapy will be assessed. A blind and independent committee will adjudicate the events. CONCLUSIONS The HeartLogic™ France Cohort Study will provide robust real-world data in a cohort of HF patients managed with the HeartLogic™ algorithm allowing pre-emptive treatment of heart failure exacerbations.
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Affiliation(s)
- Rodrigue Garcia
- Department of Cardiology, University Hospital of Poitiers, Poitiers, France
- Centre d'investigation clinique 1402, University Hospital of Poitiers, Poitiers, France
| | - Daniel Gras
- Department of Cardiology, Hôpital privé du Confluent, Nantes, France
| | | | - Pascal Defaye
- Department of Cardiology, University Hospital Grenoble Alpes, Grenoble, France
| | - Arnaud Bisson
- Department of Cardiology, University Hospital of Tours, Chambray-lès-Tours, France
- Department of Cardiology, University Hospital of Orléans, Orléans, France
| | - Serge Boveda
- Department of Cardiology, Clinique Pasteur, Toulouse, France
- Universiteit Ziekenhuis, Vrije Universiteit Brussel (VUB), Jette, Belgium
| | | | - Matthieu Gras
- Department of Cardiology, University Hospital of Poitiers, Poitiers, France
| | | | - Caroline Himbert
- Department of Cardiology, Hôpital la Pitié Salpétrière, Paris, France
| | - Peggy Jacon
- Department of Cardiology, University Hospital Grenoble Alpes, Grenoble, France
| | - Pierre Khattar
- Department of Cardiology, Hospital of Lorient, Lorient, France
| | - Benoit Lequeux
- Department of Cardiology, University Hospital of Poitiers, Poitiers, France
| | - Anthony Li
- Department of Cardiology, St. George's University of London, Cranmer Terrace, London, UK
| | | | - Damien Minois
- Department of Cardiology, University Hospital of Nantes, Nantes Cedex 1, France
| | - Eloi Marijon
- Department of Cardiology, Hôpital Européen Georges Pomipdou, Paris, France
- Paris-Sudden Death Expertise Center (Paris-SDEC), Paris, France
| | - Bertrand Pierre
- Department of Cardiology, University Hospital of Tours, Chambray-lès-Tours, France
| | - Vincent Probst
- Department of Cardiology, University Hospital of Nantes, Nantes Cedex 1, France
| | - Bruno Degand
- Department of Cardiology, University Hospital of Poitiers, Poitiers, France
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3
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Boriani G, Imberti JF, Leyva F, Casado-Arroyo R, Chun J, Braunschweig F, Zylla MM, Duncker D, Farkowski MM, Pürerfellner H, Merino JL. Length of hospital stay for elective electrophysiological procedures: a survey from the European Heart Rhythm Association. Europace 2023; 25:euad297. [PMID: 37789664 PMCID: PMC10563655 DOI: 10.1093/europace/euad297] [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: 08/02/2023] [Accepted: 09/24/2023] [Indexed: 10/05/2023] Open
Abstract
AIMS Electrophysiological (EP) operations that have traditionally involved long hospital lengths of stay (LOS) are now being undertaken as day case procedures. The coronavirus disease-19 pandemic served as an impetus for many centres to shorten LOS for EP procedures. This survey explores LOS for elective EP procedures in the modern era. METHODS AND RESULTS An online survey consisting of 27 multiple-choice questions was completed by 245 respondents from 35 countries. With respect to de novo cardiac implantable electronic device (CIED) implantations, day case procedures were reported for 79.5% of implantable loop recorders, 13.3% of pacemakers (PMs), 10.4% of implantable cardioverter defibrillators (ICDs), and 10.2% of cardiac resynchronization therapy (CRT) devices. With respect to CIED generator replacements, day case procedures were reported for 61.7% of PMs, 49.2% of ICDs, and 48.2% of CRT devices. With regard to ablations, day case procedures were reported for 5.7% of atrial fibrillation (AF) ablations, 10.7% of left-sided ablations, and 17.5% of right-sided ablations. A LOS ≥ 2 days for CIED implantation was reported for 47.7% of PM, 54.5% of ICDs, and 56.9% of CRT devices and for 54.5% of AF ablations, 42.2% of right-sided ablations, and 46.1% of left-sided ablations. Reimbursement (43-56%) and bed availability (20-47%) were reported to have no consistent impact on the organization of elective procedures. CONCLUSION There is a wide variation in the LOS for elective EP procedures. The LOS for some procedures appears disproportionate to their complexity. Neither reimbursement nor bed availability consistently influenced LOS.
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Affiliation(s)
- Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo, 71, Modena 41124, Italy
- mHealth and Health Economics and PROM Committee of EHRA (European Heart Rhythm Association)
| | - Jacopo F Imberti
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo, 71, Modena 41124, Italy
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Francisco Leyva
- mHealth and Health Economics and PROM Committee of EHRA (European Heart Rhythm Association)
- Department of Cardiology, Aston Medical Research Institute, Aston Medical School, Aston University, Aston Triangle, Birmingham B4 7ET, UK
| | - Ruben Casado-Arroyo
- mHealth and Health Economics and PROM Committee of EHRA (European Heart Rhythm Association)
- Department of Cardiology, H.U.B.-Hôpital Erasme, Université Libre de Bruxelles, Brussels 1070, Belgium
| | - Julian Chun
- Medizinische Klinik III, CCB am Agaplesion Markus Krankenhaus, Frankfurt am Main, Germany
| | - Frieder Braunschweig
- mHealth and Health Economics and PROM Committee of EHRA (European Heart Rhythm Association)
- Department of Medicine; Solna, Karolinska Institutet and ME Cardiology, Karolinska University Hospital, Norrbacka S1:02, Eugeniavagen 27, Stockholm 171 77, Sweden
| | - Maura M Zylla
- mHealth and Health Economics and PROM Committee of EHRA (European Heart Rhythm Association)
- Department of Cardiology, Medical University Hospital, Heidelberg, Germany
| | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover 30625, Germany
| | - Michał M Farkowski
- Department of Cardiology, Ministry of Interior and Administration National Medical Institute, Warsaw, Poland
| | - Helmut Pürerfellner
- Ordensklinikum Linz Elisabethinen, Interne II/Kardiologie und Interne Intensivmedizin, Fadingerstraße 1, 4020 Linz, Austria
| | - José L Merino
- Arrhythmia-Robotic Electrophysiology Unit, La Paz University Hospital, IdiPAZ, Universidad Autonoma, Madrid, Spain
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4
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Asatryan B, Bleijendaal H, Wilde AAM. Toward advanced diagnosis and management of inherited arrhythmia syndromes: Harnessing the capabilities of artificial intelligence and machine learning. Heart Rhythm 2023; 20:1399-1407. [PMID: 37442407 DOI: 10.1016/j.hrthm.2023.07.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 06/20/2023] [Accepted: 07/02/2023] [Indexed: 07/15/2023]
Abstract
The use of advanced computational technologies, such as artificial intelligence (AI), is now exerting a significant influence on various aspects of life, including health care and science. AI has garnered remarkable public notice with the release of deep learning models that can model anything from artwork to academic papers with minimal human intervention. Machine learning, a method that uses algorithms to extract information from raw data and represent it in a model, and deep learning, a method that uses multiple layers to progressively extract higher-level features from the raw input with minimal human intervention, are increasingly leveraged to tackle problems in the health sector, including utilization for clinical decision support in cardiovascular medicine. Inherited arrhythmia syndromes are a clinical domain where multiple unanswered questions remain despite unprecedented progress over the past 2 decades with the introduction of large panel genetic testing and the first steps in precision medicine. In particular, AI tools can help address gaps in clinical diagnosis by identifying individuals with concealed or transient phenotypes; enhance risk stratification by elevating recognition of underlying risk burden beyond widely recognized risk factors; improve prediction of response to therapy, and further prognostication. In this contemporary review, we provide a summary of the AI models developed to solve challenges in inherited arrhythmia syndromes and also outline gaps that can be filled with the development of intelligent AI models.
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Affiliation(s)
- Babken Asatryan
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
| | - Hidde Bleijendaal
- University of Amsterdam, Heart Center; Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Heart Failure and Arrhythmias, Amsterdam, The Netherlands; Department of Clinical Epidemiology, Biostatistics and Bioinformatics, University of Amsterdam, Amsterdam, The Netherlands
| | - Arthur A M Wilde
- University of Amsterdam, Heart Center; Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Heart Failure and Arrhythmias, Amsterdam, The Netherlands; Department of Clinical Epidemiology, Biostatistics and Bioinformatics, University of Amsterdam, Amsterdam, The Netherlands; European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart (ERN GUARD-Heart)
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5
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Nehme Z, Cameron P, Nehme E, Finn J, Bosley E, Brink D, Ball S, Doan TN, Bray JE. Effect of a national awareness campaign on ambulance attendances for chest pain and out-of-hospital cardiac arrest. Resuscitation 2023; 191:109932. [PMID: 37562665 DOI: 10.1016/j.resuscitation.2023.109932] [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: 05/19/2023] [Revised: 07/23/2023] [Accepted: 08/01/2023] [Indexed: 08/12/2023]
Abstract
AIM Awareness of heart attack symptoms may enhance health-seeking behaviour and prevent premature deaths from out-of-hospital cardiac arrest (OHCA). We sought to investigate the impact of a national awareness campaign on emergency medical service (EMS) attendances for chest pain and OHCA. METHODS Between January 2005 and December 2017, we included registry data for 97,860 EMS-attended OHCA cases from 3 Australian regions and dispatch data for 1,631,217 EMS attendances for chest pain across 5 Australian regions. Regions were exposed to between 11 and 28 months of television, radio, and print media activity. Multivariable negative binomial models were used to explore the effect of campaign activity on the monthly incidence of EMS attendances for chest pain and OHCA. RESULTS Months with campaign activity were associated with an 8.8% (IRR 1.09, 95% CI: 1.07, 1.11) increase in the incidence of EMS attendances for chest pain and a 5.6% (IRR 0.94, 95% CI: 0.92, 0.97) reduction in OHCA attendances. Larger intervention effects were associated with increasing months of campaign activity, increasing monthly media spending and media exposure in 2013. In stratified analyses of OHCA cases, the largest reduction in incidence during campaign months was observed for unwitnessed arrests (IRR 0.93, 95% CI: 0.90, 0.96), initial non-shockable arrests (IRR 0.93, 95% CI: 0.90, 0.97) and arrests occurring in private residences (IRR 0.95, 95% CI: 0.91, 0.98). CONCLUSION A national awareness campaign targeting knowledge of heart attack symptoms was associated with an increase in EMS use for chest pain and a reduction in OHCA incidence and may serve as an effective primary prevention strategy for OHCA.
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Affiliation(s)
- Ziad Nehme
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Centre for Research and Evaluation,Ambulance Victoria, Blackburn North, Victoria, Australia; Department of Paramedicine, Monash University, Frankston, Victoria, Australia.
| | - Peter Cameron
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Alfred Hospital,Alfred Health, Prahran, Victoria, Australia
| | - Emily Nehme
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Centre for Research and Evaluation,Ambulance Victoria, Blackburn North, Victoria, Australia
| | - Judith Finn
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; PRECRU, School of Nursing, Curtin University, Western Australia, Australia; St John Ambulance, Belmont, Western Australia, Australia
| | - Emma Bosley
- Queensland Ambulance Service, Queensland Government Department of Health, Brisbane, Queensland, Australia; School of Clinical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Deon Brink
- PRECRU, School of Nursing, Curtin University, Western Australia, Australia; St John Ambulance, Belmont, Western Australia, Australia
| | - Stephen Ball
- PRECRU, School of Nursing, Curtin University, Western Australia, Australia; St John Ambulance, Belmont, Western Australia, Australia
| | - Tan N Doan
- Queensland Ambulance Service, Queensland Government Department of Health, Brisbane, Queensland, Australia; Department of Medicine at The Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Janet E Bray
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; PRECRU, School of Nursing, Curtin University, Western Australia, Australia
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6
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Marijon E, Narayanan K, Smith K, Barra S, Basso C, Blom MT, Crotti L, D'Avila A, Deo R, Dumas F, Dzudie A, Farrugia A, Greeley K, Hindricks G, Hua W, Ingles J, Iwami T, Junttila J, Koster RW, Le Polain De Waroux JB, Olasveengen TM, Ong MEH, Papadakis M, Sasson C, Shin SD, Tse HF, Tseng Z, Van Der Werf C, Folke F, Albert CM, Winkel BG. The Lancet Commission to reduce the global burden of sudden cardiac death: a call for multidisciplinary action. Lancet 2023; 402:883-936. [PMID: 37647926 DOI: 10.1016/s0140-6736(23)00875-9] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 04/13/2023] [Accepted: 04/25/2023] [Indexed: 09/01/2023]
Abstract
Despite major advancements in cardiovascular medicine, sudden cardiac death (SCD) continues to be an enormous medical and societal challenge, claiming millions of lives every year. Efforts to prevent SCD are hampered by imperfect risk prediction and inadequate solutions to specifically address arrhythmogenesis. Although resuscitation strategies have witnessed substantial evolution, there is a need to strengthen the organisation of community interventions and emergency medical systems across varied locations and health-care structures. With all the technological and medical advances of the 21st century, the fact that survival from sudden cardiac arrest (SCA) remains lower than 10% in most parts of the world is unacceptable. Recognising this urgent need, the Lancet Commission on SCD was constituted, bringing together 30 international experts in varied disciplines. Consistent progress in tackling SCD will require a completely revamped approach to SCD prevention, with wide-sweeping policy changes that will empower the development of both governmental and community-based programmes to maximise survival from SCA, and to comprehensively attend to survivors and decedents' families after the event. International collaborative efforts that maximally leverage and connect the expertise of various research organisations will need to be prioritised to properly address identified gaps. The Commission places substantial emphasis on the need to develop a multidisciplinary strategy that encompasses all aspects of SCD prevention and treatment. The Commission provides a critical assessment of the current scientific efforts in the field, and puts forth key recommendations to challenge, activate, and intensify efforts by both the scientific and global community with new directions, research, and innovation to reduce the burden of SCD worldwide.
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Affiliation(s)
- Eloi Marijon
- Division of Cardiology, European Georges Pompidou Hospital, AP-HP, Paris, France; Université Paris Cité, Inserm, PARCC, Paris, France; Paris-Sudden Death Expertise Center (Paris-SDEC), Paris, France.
| | - Kumar Narayanan
- Université Paris Cité, Inserm, PARCC, Paris, France; Paris-Sudden Death Expertise Center (Paris-SDEC), Paris, France; Medicover Hospitals, Hyderabad, India
| | - Karen Smith
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Silverchain Group, Melbourne, VIC, Australia
| | - Sérgio Barra
- Department of Cardiology, Hospital da Luz Arrábida, Vila Nova de Gaia, Portugal
| | - Cristina Basso
- Cardiovascular Pathology Unit-Azienda Ospedaliera and Department of Cardiac Thoracic and Vascular Sciences and Public Health, University of Padua, Padua, Italy
| | - Marieke T Blom
- Department of General Practice, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Lia Crotti
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy; Istituto Auxologico Italiano, IRCCS, Center for Cardiac Arrhythmias of Genetic Origin, Cardiomyopathy Unit and Laboratory of Cardiovascular Genetics, Department of Cardiology, Milan, Italy
| | - Andre D'Avila
- Department of Cardiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Cardiology, Hospital SOS Cardio, Santa Catarina, Brazil
| | - Rajat Deo
- Department of Cardiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Florence Dumas
- Université Paris Cité, Inserm, PARCC, Paris, France; Paris-Sudden Death Expertise Center (Paris-SDEC), Paris, France; Emergency Department, Cochin Hospital, Paris, France
| | - Anastase Dzudie
- Cardiology and Cardiac Arrhythmia Unit, Department of Internal Medicine, DoualaGeneral Hospital, Douala, Cameroon; Yaounde Faculty of Medicine and Biomedical Sciences, University of Yaounde 1, Yaounde, Cameroon
| | - Audrey Farrugia
- Hôpitaux Universitaires de Strasbourg, France, Strasbourg, France
| | - Kaitlyn Greeley
- Division of Cardiology, European Georges Pompidou Hospital, AP-HP, Paris, France; Université Paris Cité, Inserm, PARCC, Paris, France; Paris-Sudden Death Expertise Center (Paris-SDEC), Paris, France
| | | | - Wei Hua
- Cardiac Arrhythmia Center, FuWai Hospital, Beijing, China
| | - Jodie Ingles
- Centre for Population Genomics, Garvan Institute of Medical Research and UNSW Sydney, Sydney, NSW, Australia
| | - Taku Iwami
- Kyoto University Health Service, Kyoto, Japan
| | - Juhani Junttila
- MRC Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - Rudolph W Koster
- Heart Center, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | | | - Theresa M Olasveengen
- Department of Anesthesia and Intensive Care Medicine, Oslo University Hospital and Institute of Clinical Medicine, Oslo, Norway
| | - Marcus E H Ong
- Singapore General Hospital, Duke-NUS Medical School, Singapore
| | - Michael Papadakis
- Cardiovascular Clinical Academic Group, St George's University of London, London, UK
| | | | - Sang Do Shin
- Department of Emergency Medicine at the Seoul National University College of Medicine, Seoul, South Korea
| | - Hung-Fat Tse
- University of Hong Kong, School of Clinical Medicine, Queen Mary Hospital, Hong Kong Special Administrative Region, China; Cardiac and Vascular Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Zian Tseng
- Division of Cardiology, UCSF Health, University of California, San Francisco Medical Center, San Francisco, California
| | - Christian Van Der Werf
- University of Amsterdam, Heart Center, Amsterdam, Netherlands; Department of Clinical and Experimental Cardiology, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Fredrik Folke
- Department of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Christine M Albert
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Bo Gregers Winkel
- Department of Cardiology, University Hospital Copenhagen, Rigshospitalet, Copenhagen, Denmark
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7
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Luo L, Zhao C, Chen N, Dong Y, Li Z, Bai Y, Wu P, Gao C, Guo X. Characterization of global research trends and prospects on sudden coronary death: A literature visualization analysis. Heliyon 2023; 9:e18586. [PMID: 37576229 PMCID: PMC10413084 DOI: 10.1016/j.heliyon.2023.e18586] [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: 03/12/2023] [Revised: 07/12/2023] [Accepted: 07/21/2023] [Indexed: 08/15/2023] Open
Abstract
Background Sudden coronary death is a major global public health issue that has a significant impact on both individuals and society. Nowadays, scholars are active in sudden coronary death all over the world. However, no relevant bibliometric studies have been published. Here, we aim to gain a better understanding the current state of research and to explore potential new research directions through bibliometric analysis. Methods Articles and reviews on sudden coronary death from 2012 to 2023 were retrieved from the Web of Science Core Collection (WoSCC). The topic search was conducted using the following keywords: ((("sudden cardiac death" OR "sudden death") AND (coronary OR "myocardial infarction")) OR "sudden coronary death"). Knowledge maps of authors, countries, institutions, journals, keywords, and citations were conducted by CiteSpace. Publication dynamics, hotspots, and frontiers were analyzed independently by authors. Results A total of 2914 articles were identified from January 1, 2012 to June 20, 2023. The USA (n = 972) contributed the greatest absolute productivity and UK (centrality = 0.13) built a robust global collaboration. Harvard University was the institution with the highest number of publications (n = 143). Huikuri HV and Junttila MJ were the most published authors who devoted to searching for biomarkers of sudden coronary death. American Journal of Cardiology was the journal with the most publications, and Circulation was the most cited journal. Left ventricular ejection fraction, society, inflammation, and fractional flow reserve became novel burst words that lasted until 2023. Research on etiology and pathology, role of early risk factors in risk stratification, potential predictive biomarkers and novel measurement methods for the prevention and management of sudden coronary death were identified as the research hotspots and frontiers. Conclusion Our knowledge and understanding of sudden coronary death have significantly improved. Ongoing efforts should focus on the various etiologies and pathologies of sudden coronary death. Furthermore, a novel sudden coronary death risk model, large-scale population studies, and the rational use of multiple indicators to individualize the assessment of sudden coronary death and other risk factors are other emerging research trends.
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Affiliation(s)
- Li Luo
- Department of Pathology, School of Forensic Medicine, Shanxi Medical University, Taiyuan, China
| | - Chunmei Zhao
- Department of Pathology, School of Forensic Medicine, Shanxi Medical University, Taiyuan, China
| | - Niannian Chen
- Department of Pathology, School of Forensic Medicine, Shanxi Medical University, Taiyuan, China
| | - Yiming Dong
- Department of Pathology, School of Forensic Medicine, Shanxi Medical University, Taiyuan, China
| | - Zhanpeng Li
- Department of Pathology, School of Forensic Medicine, Shanxi Medical University, Taiyuan, China
| | - Yaqin Bai
- Department of Pathology, School of Forensic Medicine, Shanxi Medical University, Taiyuan, China
| | - Peng Wu
- Department of Pathology, School of Forensic Medicine, Shanxi Medical University, Taiyuan, China
| | - Cairong Gao
- Department of Pathology, School of Forensic Medicine, Shanxi Medical University, Taiyuan, China
| | - Xiangjie Guo
- Department of Pathology, School of Forensic Medicine, Shanxi Medical University, Taiyuan, China
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8
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Holmström L, Zhang FZ, Ouyang D, Dey D, Slomka PJ, Chugh SS. Artificial Intelligence in Ventricular Arrhythmias and Sudden Death. Arrhythm Electrophysiol Rev 2023; 12:e17. [PMID: 37457439 PMCID: PMC10345967 DOI: 10.15420/aer.2022.42] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 03/16/2023] [Indexed: 07/18/2023] Open
Abstract
Sudden cardiac arrest due to lethal ventricular arrhythmias is a major cause of mortality worldwide and results in more years of potential life lost than any individual cancer. Most of these sudden cardiac arrest events occur unexpectedly in individuals who have not been identified as high-risk due to the inadequacy of current risk stratification tools. Artificial intelligence tools are increasingly being used to solve complex problems and are poised to help with this major unmet need in the field of clinical electrophysiology. By leveraging large and detailed datasets, artificial intelligence-based prediction models have the potential to enhance the risk stratification of lethal ventricular arrhythmias. This review presents a synthesis of the published literature and a discussion of future directions in this field.
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Affiliation(s)
- Lauri Holmström
- Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Health System, Los Angeles, CA, US
- Center for Cardiac Arrest Prevention, Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA, US
| | - Frank Zijun Zhang
- Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Health System, Los Angeles, CA, US
| | - David Ouyang
- Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Health System, Los Angeles, CA, US
| | - Damini Dey
- Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Health System, Los Angeles, CA, US
| | - Piotr J Slomka
- Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Health System, Los Angeles, CA, US
| | - Sumeet S Chugh
- Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Health System, Los Angeles, CA, US
- Center for Cardiac Arrest Prevention, Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA, US
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9
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Garcia R, Warming PE, Narayanan K, Defaye P, Guedon-Moreau L, Blangy H, Piot O, Leclercq C, Marijon E. Dynamic changes in nocturnal heart rate predict short-term cardiovascular events in patients using the wearable cardioverter-defibrillator: from the WEARIT-France cohort study. Europace 2023; 25:euad062. [PMID: 37021342 PMCID: PMC10227653 DOI: 10.1093/europace/euad062] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 01/31/2023] [Indexed: 04/07/2023] Open
Abstract
AIMS While elevated resting heart rate measured at a single point of time has been associated with cardiovascular outcomes, utility of continuous monitoring of nocturnal heart rate (NHR) has never been evaluated. We hypothesized that dynamic NHR changes may predict, at short term, impending cardiovascular events in patients equipped with a wearable cardioverter-defibrillator (WCD). METHODS AND RESULTS The WEARIT-France prospective cohort study enrolled heart failure patients with WCD between 2014 and 2018. Night-time was defined as midnight to 7 a.m. NHR initial trajectories were classified into four categories based on mean NHR in the first week (High/Low) and NHR evolution over the second week (Up/Down) of WCD use. The primary endpoint was a composite of cardiovascular death and heart failure hospitalization. A total of 1013 [61 (interquartile range, IQR 53-68) years, 16% women, left ventricular ejection fraction 26% (IQR 22-30)] were included. During a median WCD wear duration of 68 (IQR 44-90) days, 58 patients (6%) experienced 69 events. After considering potential confounders, High-Up NHR trajectory was significantly associated with the primary endpoint compared to Low-Down [adjusted hazard ratio (HR) 6.08, 95% confidence interval (CI) 2.56-14.45, P < 0.001]. Additionally, a rise of >5 bpm in weekly average NHR from the preceding week was associated with 2.5 higher composite event risk (HR 2.51, 95% CI 1.22-5.18, P = 0.012) as well as total mortality (HR 11.21, 95% CI 3.55-35.37, P < 0.001) and cardiovascular hospitalization (HR 2.70, 95% CI 1.51-4.82, P < 0.001). CONCLUSION Dynamic monitoring of NHR may allow timely identification of impending cardiovascular events, with the potential for 'pre-emptive' action. REGISTRATION NUMBER Clinical Trials.gov Identifier: NCT03319160.
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Affiliation(s)
- Rodrigue Garcia
- Department of Cardiology, University Hospital of Poitiers, 86021 Poitiers, France
- Centre d'Investigation Clinique CIC1402, CHU Poitiers, 86000, Poitiers, France
| | - Peder Emil Warming
- Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Kumar Narayanan
- Department of Cardiology, Medicover Hospitals, Hyderabad, Telangana 500081, India
- Université Paris Cité, Inserm, PARCC, F-75015 Paris, France
| | - Pascal Defaye
- Department of Cardiology, University Hospital Grenoble Alpes, Grenoble 38043, France
| | | | - Hugues Blangy
- Department of Cardiology, University Hospital of Nancy, Vandoeuvre-Lès-Nancy 54500, France
| | - Olivier Piot
- Department of Cardiology, Cardiology Center of Nord, Saint Denis 93200, France
| | - Christophe Leclercq
- Department of Cardiology, University Hospital Pontchaillou, Rennes 35000, France
| | - Eloi Marijon
- Department of Cardiology, European Georges Pompidou Hospital, Paris Cedex 15, 75908, France
- Université Paris Cité, Inserm, PARCC, F-75015 Paris, France
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10
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Weizman O, Empana JP, Blom M, Tan HL, Jonsson M, Narayanan K, Ringh M, Marijon E, Jouven X. Incidence of Cardiac Arrest During Sports Among Women in the European Union. J Am Coll Cardiol 2023; 81:1021-1031. [PMID: 36922087 DOI: 10.1016/j.jacc.2023.01.015] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 01/10/2023] [Accepted: 01/13/2023] [Indexed: 03/18/2023]
Abstract
BACKGROUND Women represent a growing proportion of sports participants. Still, few original data regarding sudden cardiac arrest during sports (Sr-SCA) in women are available. OBJECTIVES The authors sought to assess the incidence, characteristics, and outcomes of women presenting with Sr-SCA. METHODS Data were analyzed from 3 population-based European registries (ESCAPE-NET 2020 Horizon Program) that prospectively and exhaustively collect every case of SCA: SDEC (Paris-Sudden Death Expertise Center), ARREST (AmsteRdam REsuscitation Studies), and SRCR (Swedish Register for Cardiopulmonary Resuscitation). Sr-SCA was defined as SCA during or ≤1 hour after cessation of sports activity. RESULTS Of 34,826 SCA between 2006 and 2017, 760 Sr-SCA (2.2%) were identified, including 54 in women. The average annual incidence of Sr-SCA in women in the 3 registries ranged from 0.10 per million (95% CI: 0.01-0.71 per million) to 0.38 per million (95% CI: 0.14-1.04 per million). Overall, the average annual incidence rate of Sr-SCA in women was 0.19 per million (95% CI: 0.14-0.24 per million), >10-fold lower compared with men (2.63 per million [95% CI: 2.45-2.83 per million]; P < 0.0001). When extrapolating to the total European population and accounting for age and sex, this yields 98 cases per year (95% CI: 72-123 cases per year) in women and 1,350 cases per year (95% CI: 1,256-1,451 cases per year) in men. Subject characteristics and circumstances of occurrence were similar in women vs men. Bystander response, time to defibrillation, and survival rate at hospital admission (58.8% vs 58.5%; P = 0.99) and 30 days did not differ significantly between women and men. CONCLUSIONS These findings emphasize the dramatically lower risk of Sr-SCA in women compared with men, despite similar subject characteristics. This should be considered in designing preparticipation screening strategies in the future.
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Affiliation(s)
- Orianne Weizman
- Université Paris Cité, Inserm, PARCC, Paris, France; Paris Sudden Death Expertise Center (Paris-SDEC), Paris, France
| | - Jean-Philippe Empana
- Université Paris Cité, Inserm, PARCC, Paris, France; Paris Sudden Death Expertise Center (Paris-SDEC), Paris, France
| | - Marieke Blom
- Cardiology Department, Academic Medical Center, Amsterdam, the Netherlands
| | - Hanno L Tan
- Cardiology Department, Academic Medical Center, Amsterdam, the Netherlands
| | - Martin Jonsson
- Center for Resuscitation Science, Karolinska Institute, Stockholm, Sweden
| | - Kumar Narayanan
- Université Paris Cité, Inserm, PARCC, Paris, France; Paris Sudden Death Expertise Center (Paris-SDEC), Paris, France
| | - Mattias Ringh
- Center for Resuscitation Science, Karolinska Institute, Stockholm, Sweden
| | - Eloi Marijon
- Université Paris Cité, Inserm, PARCC, Paris, France; Paris Sudden Death Expertise Center (Paris-SDEC), Paris, France; Hôpital Européen Georges Pompidou, Paris, France.
| | - Xavier Jouven
- Université Paris Cité, Inserm, PARCC, Paris, France; Paris Sudden Death Expertise Center (Paris-SDEC), Paris, France; Hôpital Européen Georges Pompidou, Paris, France
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Hellsén G, Rawshani A, Skoglund K, Bergh N, Råmunddal T, Myredal A, Helleryd E, Taha A, Mahmoud A, Hjärtstam N, Backelin C, Dahlberg P, Hessulf F, Herlitz J, Engdahl J, Rawshani A. Predicting recurrent cardiac arrest in individuals surviving Out-of-Hospital cardiac arrest. Resuscitation 2023; 184:109678. [PMID: 36581182 DOI: 10.1016/j.resuscitation.2022.109678] [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: 10/31/2022] [Revised: 12/16/2022] [Accepted: 12/18/2022] [Indexed: 12/27/2022]
Abstract
BACKGROUND Despite improvements in short-term survival for Out-of-Hospital Cardiac Arrest (OHCA) in the past two decades, long-term survival is still not well studied. Furthermore, the contribution of different variables on long-term survival have not been fully investigated. AIM Examine the 1-year prognosis of patients discharged from hospital after an OHCA. Furthermore, identify factors predicting re-arrest and/or death during 1-year follow-up. METHODS All patients 18 years or older surviving an OHCA and discharged from the hospital were identified from the Swedish Register for Cardiopulmonary Resuscitation (SRCR). Data on diagnoses, medications and socioeconomic factors was gathered from other Swedish registers. A machine learning model was constructed with 886 variables and evaluated for its predictive capabilities. Variable importance was gathered from the model and new models with the most important variables were created. RESULTS Out of the 5098 patients included, 902 (∼18%) suffered a recurrent cardiac arrest or death within a year. For the outcome death or re-arrest within 1 year from discharge the model achieved an ROC (receiver operating characteristics) AUC (area under the curve) of 0.73. A model with the 15 most important variables achieved an AUC of 0.69. CONCLUSIONS Survivors of an OHCA have a high risk of suffering a re-arrest or death within 1 year from hospital discharge. A machine learning model with 15 different variables, among which age, socioeconomic factors and neurofunctional status at hospital discharge, achieved almost the same predictive capabilities with reasonable precision as the full model with 886 variables.
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Affiliation(s)
- Gustaf Hellsén
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden.
| | - Aidin Rawshani
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Kristofer Skoglund
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Niklas Bergh
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Truls Råmunddal
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Anna Myredal
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Edvin Helleryd
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Amar Taha
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Ahmad Mahmoud
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Nellie Hjärtstam
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Charlotte Backelin
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Pia Dahlberg
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Fredrik Hessulf
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Johan Herlitz
- Research Centre PreHospen, University of Borås, Borås, Sweden
| | - Johan Engdahl
- Karolinska Institutet, Department of Clinical Sciences, Danderyds Hospital, Stockholm, Sweden
| | - Araz Rawshani
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
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12
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Koivunen M, Tynkkynen J, Oksala N, Eskola M, Hernesniemi J. Incidence of sudden cardiac arrest and sudden cardiac death after unstable angina pectoris and myocardial infarction. Am Heart J 2023; 257:9-19. [PMID: 36384178 DOI: 10.1016/j.ahj.2022.11.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 09/28/2022] [Accepted: 11/02/2022] [Indexed: 05/11/2023]
Abstract
BACKGROUND Sudden cardiac arrests (SCA) and sudden cardiac deaths (SCD) are believed to account for a large proportion of deaths due to cardiovascular causes. The purpose of this study is to provide comprehensive information on the epidemiology of SCAs and SCDs after acute coronary syndrome. METHODS The incidence of SCA (including SCDs) was studied retrospectively among 10,316 consecutive patients undergoing invasive evaluation for acute coronary syndrome (ACS) between 2007 and 2018 at Tays Heart Hospital (sole provider of specialized cardiac care for a catchment area of over 0.5 million residents). Baseline and follow-up information was collected by combining information from the hospital's electronic health records, death certificate data, and a full-disclosure review of written patient records and accounts of the circumstances leading to death. RESULTS During 12 years of follow-up, the cumulative incidence of SCAs (including SCDs) was 9.8% (0.8% annually) and that of SCDs 5.4% (0.5% annually). Cumulative incidence of SCAs in patients with ST-elevation myocardial infarction, non-ST-elevation myocardial infarction and unstable angina pectoris were: 11.9%,10.2% and 5.7% at 12 years. SCAs accounted for 30.5% (n = 528/1,732) of all deaths due to cardiovascular causes. The vast majority of SCAs (95.6%) occurred in patients without implantable cardioverter defibrillator (ICD) devices or among patients with no recurrent hospitalizations for coronary artery disease (89.1%). CONCLUSIONS SCAs accounted for less than a third of all deaths due to cardiovascular causes among patients with previous ACS. Incidence of SCA is highest among STEMI and NSTEMI patients. After the hospital discharge, most of SCAs happen to NSTEMI patients.
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Affiliation(s)
- Minna Koivunen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
| | - Juho Tynkkynen
- Department of Radiology, Tampere University Hospital, Tampere, Finland
| | - Niku Oksala
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Department of Surgery, Division of Vascular Surgery, Tampere University Hospital, Tampere, Finland; Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Techonology, Tampere University, Tampere, Finland
| | - Markku Eskola
- Heart Center, Department of Cardiology, Tampere University Hospital, Tampere, Finland
| | - Jussi Hernesniemi
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Techonology, Tampere University, Tampere, Finland; Heart Center, Department of Cardiology, Tampere University Hospital, Tampere, Finland
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13
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Nakamaru R, Shiraishi Y, Niimi N, Ueda I, Ikemura N, Suzuki M, Noma S, Inohara T, Numasawa Y, Fukuda K, Kohsaka S. Time Trend in Incidence of Sudden Cardiac Death After Percutaneous Coronary Intervention from 2009 to 2017 (from the Japanese Multicenter Registry). Am J Cardiol 2023; 188:44-51. [PMID: 36470011 DOI: 10.1016/j.amjcard.2022.11.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 10/14/2022] [Accepted: 11/10/2022] [Indexed: 12/12/2022]
Abstract
The advances in the integrated management of patients with coronary artery disease undergoing percutaneous coronary intervention (PCI) have reduced subsequent cardiovascular events. Nonetheless, sudden cardiac death (SCD) remains a major concern. Therefore, we aimed to investigate the time trend in SCD incidence after PCI and to identify the clinical factors contributing to SCD. From a prospective, multicenter cohort registry in Japan, 8,723 consecutive patients with coronary artery disease undergoing PCI between 2009 and 2017 were included. We evaluated the SCD incidence 2 years after PCI; all death events were adjudicated, and SCD was defined as unexpected death without a noncardiovascular cause in a previously stable patient within 24 hours from the onset. The Fine and Gray method was used to identify the factors associated with SCD. Overall, the mean age of the patients was 68.3 ± 11.3 years, and 1,173 patients (13.4%) had heart failure (HF). During the study period, the use of second-generation drug-eluting stents increased. The 2-year cumulative incidence of all-cause mortality and SCD was 4.29% and 0.45%, respectively. All-cause mortality remained stable during the study period (p for trend = 0.98), whereas the crude incidence of SCD tended to decrease over the study period (p for trend = 0.052). HF was the strongest predictor associated with the risk of SCD (crude incidence [vs non-HF] 2.13% vs 0.19%; p <0.001). In conclusion, the incidence of SCD after PCI decreased over the last decade, albeit the high incidence of SCD among patients with HF remains concerning.
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Affiliation(s)
- Ryo Nakamaru
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan; Healthcare Quality Assessment, the University of Tokyo, Tokyo, Japan
| | - Yasuyuki Shiraishi
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan
| | - Nozomi Niimi
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan
| | - Ikuko Ueda
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan
| | - Nobuhiro Ikemura
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan
| | - Masahiro Suzuki
- Department of Cardiology National Hospital Organization Saitama Hospital, Saitama, Japan
| | - Shigetaka Noma
- Department of Cardiology Saiseikai Utsunomiya Hospital, Tochigi, Japan
| | - Taku Inohara
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan
| | - Yohei Numasawa
- Department of Cardiology Japanese Red Cross Ashikaga Hospital, Tochigi, Japan
| | - Keiichi Fukuda
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan
| | - Shun Kohsaka
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan.
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14
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Spaulding C. Peut-ton prédire la mort subite d’origine cardiaque? BULLETIN DE L'ACADÉMIE NATIONALE DE MÉDECINE 2023. [DOI: 10.1016/j.banm.2022.12.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
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15
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Prognostic Implications of Left Ventricular Ejection Fraction and Left Ventricular End-Diastolic Diameter on Clinical Outcomes in Patients with ICD. J Cardiovasc Dev Dis 2022; 9:jcdd9120421. [PMID: 36547418 PMCID: PMC9782887 DOI: 10.3390/jcdd9120421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 11/19/2022] [Accepted: 11/25/2022] [Indexed: 11/30/2022] Open
Abstract
Background: Left ventricular ejection fraction (LVEF) is a suboptimal indicator of risk stratification for patients with an implantable cardioverter defibrillator (ICD). Studies have shown that left ventricular end-diastolic diameter (LVEDD) was associated with all-cause mortality and ventricular arrhythmias. We examined the quantified prognostic value of LVEF and LVEDD for clinical outcomes, respectively. Method: This study retrospectively enrolled patients with ICD implantation in a single center. The associations between LVEF or LVEDD and all-cause mortality and appropriate shocks were analyzed using Cox regression and Fine-gray competing risk regression, respectively. Result: During a median follow up of 59.6 months, 168/630 (26.7%) patients died. LVEF and LVEDD were strongly associated with all-cause mortality (LVEF per 10%: HR 0.77, 95%CI 0.64−0.93, p = 0.006; LVEDD per 10 mm: HR 1.54, 95%CI 1.27−1.85, p < 0.001). After a median interrogation time of 37.1 months, 156 (24.8%) patients received at least one shock. LVEF was not associated with appropriate shock, whereas larger LVEDD (per 10 mm) was significantly associated with a higher risk of shock (HR: 1.27, 95%CI 1.06−1.52, p = 0.008). The addition of LVEF or LVEDD to clinical factors provided incremental prognostic value and discrimination improvement for all-cause mortality, while only the addition of LVEDD to clinical factors improved prognostic value for shock intervention. Conclusions: Baseline LVEF and LVEDD show a linear relationship with all-cause mortality in patients with ICD. However, whereas LVEF is not associated with shock, a linear relationship exists between LVEDD and appropriate shock. LVEDD adds more predictive value in relation to all-cause mortality and appropriate shocks than LVEF.
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16
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L Fialho G, Lin K. T-wave heterogeneity in epilepsy: Could we kill two (or three) birds with one stone? Epilepsy Behav 2022; 134:108747. [PMID: 35637101 DOI: 10.1016/j.yebeh.2022.108747] [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: 05/10/2022] [Accepted: 05/12/2022] [Indexed: 11/03/2022]
Affiliation(s)
- Guilherme L Fialho
- Cardiology Division, Federal University of Santa Catarina, (UFSC), Florianópolis, SC, Brazil; Medical Sciences Post-graduate Program, Federal University of Santa Catarina, (UFSC), Florianópolis, SC, Brazil.
| | - Katia Lin
- Medical Sciences Post-graduate Program, Federal University of Santa Catarina, (UFSC), Florianópolis, SC, Brazil; Center for Applied Neurosciences (CeNAp), Federal University of Santa Catarina, (UFSC), Florianópolis, SC, Brazil; Neurology Division, Federal University of Santa Catarina, (UFSC), Florianópolis, SC, Brazil.
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17
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Xintarakou A, Kariki O, Doundoulakis I, Arsenos P, Soulaidopoulos S, Laina A, Xydis P, Kordalis A, Nakas N, Theofilou A, Vlachopoulos C, Tsioufis K, Gatzoulis KA. The Role of Genetics in Risk Stratification Strategy of Dilated Cardiomyopathy. Rev Cardiovasc Med 2022; 23:305. [PMID: 39077708 PMCID: PMC11262384 DOI: 10.31083/j.rcm2309305] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/18/2022] [Accepted: 08/24/2022] [Indexed: 07/31/2024] Open
Abstract
Dilated cardiomyopathy (DCM) is a heart disorder of diverse etiologies that affects millions of people worldwide, associated with increased mortality rate and high risk of sudden cardiac death. Patients with DCM are characterized by a wide range of clinical and pre-clinical phenotypes which are related with different outcomes. Dominant studies have failed to demonstrate the value of the left ventricular ejection fraction as the only indicator for patients' assessment and arrhythmic events prediction, thus making sudden cardiac death (SCD) risk stratification strategy improvement, more crucial than ever. The multifactorial two-step approach, examining non-invasive and invasive risk factors, represents an alternative process that enhances the accurate diagnosis and the individualization of patients' management. The role of genetic testing, regarding diagnosis and decision making, is of great importance, as pathogenic variants have been detected in several patients either they had a disease relative family history or not. At the same time there are specific genes mutations that have been associated with the prognosis of the disease. The aim of this review is to summarize the latest data regarding the genetic substrate of DCM and the value of genetic testing in patients' assessment and arrhythmic risk evaluation. Undoubtedly, the appropriate application of genetic testing and the thoughtful analysis of the results will contribute to the identification of patients who will receive major benefit from an implantable defibrillator as preventive treatment of SCD.
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Affiliation(s)
- Anastasia Xintarakou
- First Cardiology Department, National and Kapodistrian University of Athens, Hippokration General Hospital, 11527 Athens, Greece
| | - Ourania Kariki
- Department of Cardiology, Onassis Cardiac Surgery Center, Athens, 17674 Kallithea, Greece
| | - Ioannis Doundoulakis
- First Cardiology Department, National and Kapodistrian University of Athens, Hippokration General Hospital, 11527 Athens, Greece
| | - Petros Arsenos
- First Cardiology Department, National and Kapodistrian University of Athens, Hippokration General Hospital, 11527 Athens, Greece
| | - Stergios Soulaidopoulos
- First Cardiology Department, National and Kapodistrian University of Athens, Hippokration General Hospital, 11527 Athens, Greece
| | - Aggeliki Laina
- First Cardiology Department, National and Kapodistrian University of Athens, Hippokration General Hospital, 11527 Athens, Greece
| | - Panagiotis Xydis
- First Cardiology Department, National and Kapodistrian University of Athens, Hippokration General Hospital, 11527 Athens, Greece
| | - Athanasios Kordalis
- First Cardiology Department, National and Kapodistrian University of Athens, Hippokration General Hospital, 11527 Athens, Greece
| | - Nikolaos Nakas
- Department of Cardiology, General Hospital of Nikaia-Piraeus “Agios Panteleimon”, Piraeus, 18454 Nikaia, Greece
| | - Alexia Theofilou
- Department of Cardiology, General Hospital of Nikaia-Piraeus “Agios Panteleimon”, Piraeus, 18454 Nikaia, Greece
| | - Charalampos Vlachopoulos
- First Cardiology Department, National and Kapodistrian University of Athens, Hippokration General Hospital, 11527 Athens, Greece
| | - Konstantinos Tsioufis
- First Cardiology Department, National and Kapodistrian University of Athens, Hippokration General Hospital, 11527 Athens, Greece
| | - Konstantinos A Gatzoulis
- First Cardiology Department, National and Kapodistrian University of Athens, Hippokration General Hospital, 11527 Athens, Greece
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18
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Jerkeman M, Sultanian P, Lundgren P, Nielsen N, Helleryd E, Dworeck C, Omerovic E, Nordberg P, Rosengren A, Hollenberg J, Claesson A, Aune S, Strömsöe A, Ravn-Fischer A, Friberg H, Herlitz J, Rawshani A. Trends in survival after cardiac arrest: a Swedish nationwide study over 30 years. Eur Heart J 2022; 43:4817-4829. [PMID: 35924401 PMCID: PMC9726448 DOI: 10.1093/eurheartj/ehac414] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 07/06/2022] [Accepted: 07/14/2022] [Indexed: 01/12/2023] Open
Abstract
AIMS Trends in characteristics, management, and survival in out-of-hospital cardiac arrest (OHCA) and in-hospital cardiac arrest (IHCA) were studied in the Swedish Cardiopulmonary Resuscitation Registry (SCRR). METHODS AND RESULTS The SCRR was used to study 106 296 cases of OHCA (1990-2020) and 30 032 cases of IHCA (2004-20) in whom resuscitation was attempted. In OHCA, survival increased from 5.7% in 1990 to 10.1% in 2011 and remained unchanged thereafter. Odds ratios [ORs, 95% confidence interval (CI)] for survival in 2017-20 vs. 1990-93 were 2.17 (1.93-2.43) overall, 2.36 (2.07-2.71) for men, and 1.67 (1.34-2.10) for women. Survival increased for all aetiologies, except trauma, suffocation, and drowning. OR for cardiac aetiology in 2017-20 vs. 1990-93 was 0.45 (0.42-0.48). Bystander cardiopulmonary resuscitation increased from 30.9% to 82.2%. Shockable rhythm decreased from 39.5% in 1990 to 17.4% in 2020. Use of targeted temperature management decreased from 42.1% (2010) to 18.2% (2020). In IHCA, OR for survival in 2017-20 vs. 2004-07 was 1.18 (1.06-1.31), showing a non-linear trend with probability of survival increasing by 46.6% during 2011-20. Myocardial ischaemia or infarction as aetiology decreased during 2004-20 from 67.4% to 28.3% [OR 0.30 (0.27-0.34)]. Shockable rhythm decreased from 37.4% to 23.0% [OR 0.57 (0.51-0.64)]. Approximately 90% of survivors (IHCA and OHCA) had no or mild neurological sequelae. CONCLUSION Survival increased 2.2-fold in OHCA during 1990-2020 but without any improvement in the final decade, and 1.2-fold in IHCA during 2004-20, with rapid improvement the last decade. Cardiac aetiology and shockable rhythms were halved. Neurological outcome has not improved.
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Affiliation(s)
| | | | - Peter Lundgren
- Institute of Medicine, Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden,Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Niklas Nielsen
- Department of Clinical Sciences Lund, Anesthesiology and Intensive care, Lund University, Helsingborg Hospital, Lund, Sweden
| | - Edvin Helleryd
- Institute of Medicine, Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Christian Dworeck
- Institute of Medicine, Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden,Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Elmir Omerovic
- Institute of Medicine, Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden,Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Per Nordberg
- Department of Clinical Science and Education, Södersjukhuset, Centre for Resuscitation Science, Karolinska Institutet, Stockholm, Sweden
| | - Annika Rosengren
- Institute of Medicine, Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Jacob Hollenberg
- Department of Clinical Science and Education, Södersjukhuset, Centre for Resuscitation Science, Karolinska Institutet, Stockholm, Sweden
| | - Andreas Claesson
- Department of Clinical Science and Education, Södersjukhuset, Centre for Resuscitation Science, Karolinska Institutet, Stockholm, Sweden
| | - Solveig Aune
- Institute of Medicine, Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Anneli Strömsöe
- Centre for Clinical Research Dalarna, Uppsala University, Falun, Sweden,Department of Clinical Sciences Lund, Anesthesiology and Intensive care, Lund University, Lund, Sweden
| | - Annica Ravn-Fischer
- Institute of Medicine, Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden,Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Hans Friberg
- Department of Clinical Sciences Lund, Anesthesiology and Intensive care, Lund University, Lund, Sweden
| | - Johan Herlitz
- Prehospen—Centre for Prehospital Research, University of Borås, Borås, Sweden,The Swedish Registry for Cardiopulmonary Resuscitation, Centre of Registries, Västra Götaland, Sweden
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19
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Strik M, Bordachar P. Smart interpretation of the smartwatch ECG: consider the false negatives – Authors’ reply. Europace 2022; 24:1710-1711. [DOI: 10.1093/europace/euac073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 04/27/2022] [Indexed: 11/12/2022] Open
Affiliation(s)
- Marc Strik
- Bordeaux University Hospital (CHU), Cardio-Thoracic Unit , F-33600 Pessac , France
- IHU Liryc, Electrophysiology and Heart Modeling Institute, fondation Bordeaux Université , F-33600 Pessac- Bordeaux , France
| | - Pierre Bordachar
- Bordeaux University Hospital (CHU), Cardio-Thoracic Unit , F-33600 Pessac , France
- IHU Liryc, Electrophysiology and Heart Modeling Institute, fondation Bordeaux Université , F-33600 Pessac- Bordeaux , France
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20
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Vetrovec GW. An Important Question, but Not the Correct Answer. CARDIOVASCULAR REVASCULARIZATION MEDICINE 2022; 40:99-100. [PMID: 35738729 DOI: 10.1016/j.carrev.2022.05.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 05/16/2022] [Indexed: 01/04/2023]
Affiliation(s)
- George W Vetrovec
- Professor Emeritus, Virginia Commonwealth University Pauley Heart Center, Richmond, VA, United States of America.
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