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Wazzan AA, Taconne M, Rolle VL, Forsaa MI, Haugaa KH, Galli E, Hernandez A, Edvardsen T, Donal E. Risk profiles for ventricular arrhythmias in hypertrophic cardiomyopathy through clustering analysis including left ventricular strain. Int J Cardiol 2024; 409:132167. [PMID: 38797198 DOI: 10.1016/j.ijcard.2024.132167] [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: 01/21/2024] [Revised: 04/21/2024] [Accepted: 05/11/2024] [Indexed: 05/29/2024]
Abstract
AIMS The prediction of ventricular arrhythmia (VA) in hypertrophic cardiomyopathy (HCM) remains challenging. We sought to characterize the VA risk profile in HCM patients through clustering analysis combining clinical and conventional imaging parameters with information derived from left ventricular longitudinal strain analysis (LV-LS). METHODS A total of 434 HCM patients (65% men, mean age 56 years) were included from two referral centers and followed longitudinally (mean duration 6 years). Mechanical and temporal parameters were automatically extracted from the LV-LS segmental curves of each patient in addition to conventional clinical and imaging data. A total of 287 features were analyzed using a clustering approach (k-means). The principal endpoint was VA. RESULTS 4 clusters were identified with a higher rhythmic risk for clusters 1 and 4 (VA rates of 26%(28/108), 13%(13/97), 12%(14/120), and 31%(34/109) for cluster 1,2,3 and 4 respectively). These 4 clusters differed mainly by LV-mechanics with a severe and homogeneous decrease of myocardial deformation for cluster 4, a small decrease for clusters 2 and 3 and a marked deformation delay and temporal dispersion for cluster 1 associated with a moderate decrease of the GLS (p < 0.0001 for GLS comparison between clusters). Patients from cluster 4 had the most severe phenotype (mean LV mass index 123 vs. 112 g/m2; p = 0.0003) with LV and left atrium (LA) remodeling (LA-volume index (LAVI) 46.6 vs. 41.5 ml/m2, p = 0.04 and LVEF 59.7 vs. 66.3%, p < 0.001) and impaired exercise capacity (% predicted peak VO2 58.6 vs. 69.5%; p = 0.025). CONCLUSION Processing LV-LS parameters in HCM patients 4 clusters with specific LV-strain patterns and different rhythmic risk levels are identified. Automatic extraction and analysis of LV strain parameters improves the risk stratification for VA in HCM patients.
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Affiliation(s)
- Adrien Al Wazzan
- Department of Cardiology, University of Rennes, CHU Rennes, Inserm, LTSI - UMR 1099, Rennes, France.
| | - Marion Taconne
- Department of Cardiology, University of Rennes, CHU Rennes, Inserm, LTSI - UMR 1099, Rennes, France.
| | - Virginie Le Rolle
- Department of Cardiology, University of Rennes, CHU Rennes, Inserm, LTSI - UMR 1099, Rennes, France.
| | - Marianne Inngjerdingen Forsaa
- Department of Cardiology, University of Oslo, Oslo University Hospital, ProCardio Center for Innovation, Oslo, Norway
| | - Kristina Hermann Haugaa
- Department of Cardiology, University of Oslo, Oslo University Hospital, ProCardio Center for Innovation, Oslo, Norway.
| | - Elena Galli
- Department of Cardiology, University of Rennes, CHU Rennes, Inserm, LTSI - UMR 1099, Rennes, France.
| | - Alfredo Hernandez
- Department of Cardiology, University of Rennes, CHU Rennes, Inserm, LTSI - UMR 1099, Rennes, France.
| | - Thor Edvardsen
- Department of Cardiology, University of Oslo, Oslo University Hospital, ProCardio Center for Innovation, Oslo, Norway.
| | - Erwan Donal
- Department of Cardiology, University of Rennes, CHU Rennes, Inserm, LTSI - UMR 1099, Rennes, France.
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Ródenas-Alesina E, Lozano-Torres J, Vila-Olives R, Calvo-Barceló M, Badia-Molins C, Tobías-Castillo PE, Ferreira-González I, Rodríguez-Palomares J. Mechanical Dispersion Is Associated With Ventricular Arrhythmias and Sudden Cardiac Death in Nonischemic Dilated Cardiomyopathy. J Am Soc Echocardiogr 2024; 37:469-471. [PMID: 38159616 DOI: 10.1016/j.echo.2023.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 12/11/2023] [Accepted: 12/15/2023] [Indexed: 01/03/2024]
Affiliation(s)
- Eduard Ródenas-Alesina
- Department of Cardiology, Vall d'Hebron University Hospital, Department of Medicine, Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Jordi Lozano-Torres
- Department of Cardiology, Vall d'Hebron University Hospital, Department of Medicine, Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Rosa Vila-Olives
- Department of Cardiology, Vall d'Hebron University Hospital, Department of Medicine, Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Maria Calvo-Barceló
- Department of Cardiology, Vall d'Hebron University Hospital, Department of Medicine, Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Clara Badia-Molins
- Department of Cardiology, Vall d'Hebron University Hospital, Department of Medicine, Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Pablo Eduardo Tobías-Castillo
- Department of Cardiology, Vall d'Hebron University Hospital, Department of Medicine, Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Ignacio Ferreira-González
- Department of Cardiology, Vall d'Hebron University Hospital, Department of Medicine, Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron 119-129, 08035 Barcelona, Spain.
| | - José Rodríguez-Palomares
- Department of Cardiology, Vall d'Hebron University Hospital, Department of Medicine, Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron 119-129, 08035 Barcelona, Spain
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Levene J, Voigt A, Thoma F, Mulukutla S, Bhonsale A, Kancharla K, Shalaby A, Estes NM, Jain S, Saba S. Patient Outcomes by Ventricular Systolic and Diastolic Function. J Am Heart Assoc 2024; 13:e033211. [PMID: 38353214 PMCID: PMC11010111 DOI: 10.1161/jaha.123.033211] [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: 10/24/2023] [Accepted: 12/27/2023] [Indexed: 02/21/2024]
Abstract
BACKGROUND Left ventricular dysfunction is characterized by systolic and diastolic parameters, leading to heart failure (HF) with reduced or preserved ejection fraction (EF), respectively. The goal of this study is to examine the impact of left ventricular systolic and diastolic dysfunction (DD) on patient outcomes. METHODS AND RESULTS Two cohorts were used in this analysis: Cohort A included 136 455 patients with EF ≥50%, stratified by the presence and grade of DD. Cohort B included 16 850 patients with EF <50%, stratified by EF quartiles. Patients were followed to the end points of all-cause death and cardiovascular, HF, or cardiac arrest hospitalizations. Over a median follow-up of 3.42 years, 23 946 (16%) patients died and 31 113 (20%), 13 305 (9%), and 1269 (1%) were hospitalized for cardiovascular, HF, or cardiac arrest causes, respectively. With adjustment for comorbidities, the risk of all-cause mortality and of cardiovascular and HF hospitalizations increased steadily with increasing grade of DD in patients with normal EF, and even more so in patients with worsening EF. The risk of hospitalization for cardiac arrest in patients with grade III DD, however, was comparable to that of patients with EF <25% (hazard ratio, 1.00 [95% CI, 0.98-1.01]) and worse than that of patients in better EF quartiles. CONCLUSIONS Although systolic dysfunction is associated with a greater risk of overall death and HF hospitalizations than DD, the risk of cardiac arrest in patients with grade II and III DD is comparable to that of patients with moderate and severe systolic dysfunction, respectively. Future studies are needed to examine treatment strategies than can improve these outcomes.
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Affiliation(s)
- Jacqueline Levene
- Heart and Vascular Institute at the University of Pittsburgh School of MedicinePittsburghPAUSA
| | - Andrew Voigt
- Heart and Vascular Institute at the University of Pittsburgh School of MedicinePittsburghPAUSA
| | - Floyd Thoma
- Heart and Vascular Institute at the University of Pittsburgh School of MedicinePittsburghPAUSA
| | - Suresh Mulukutla
- Heart and Vascular Institute at the University of Pittsburgh School of MedicinePittsburghPAUSA
| | - Aditya Bhonsale
- Heart and Vascular Institute at the University of Pittsburgh School of MedicinePittsburghPAUSA
| | - Krishna Kancharla
- Heart and Vascular Institute at the University of Pittsburgh School of MedicinePittsburghPAUSA
| | - Alaa Shalaby
- Heart and Vascular Institute at the University of Pittsburgh School of MedicinePittsburghPAUSA
| | - N.A. Mark Estes
- Heart and Vascular Institute at the University of Pittsburgh School of MedicinePittsburghPAUSA
| | - Sandeep Jain
- Heart and Vascular Institute at the University of Pittsburgh School of MedicinePittsburghPAUSA
| | - Samir Saba
- Heart and Vascular Institute at the University of Pittsburgh School of MedicinePittsburghPAUSA
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Donal E, Neveu A, Stankovic I. Assessing left ventricular myocardial work and the risk for malignant arrhythmias: does it work? Eur Heart J Cardiovasc Imaging 2023; 25:37-38. [PMID: 37552792 DOI: 10.1093/ehjci/jead198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 08/03/2023] [Indexed: 08/10/2023] Open
Affiliation(s)
- Erwan Donal
- Service de Cardiologie, Hôpital Pontchaillou, CHU Rennes, F-35033 Rennes, France
| | - Antoine Neveu
- Service de Cardiologie, Hôpital Pontchaillou, CHU Rennes, F-35033 Rennes, France
| | - Ivan Stankovic
- Clinical Hospital Centre Zemun, Faculty of Medicine, University of Belgrade, Serbia
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5
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Kirkels FP, Rootwelt-Norberg C, Bosman LP, Aabel EW, Muller SA, Castrini AI, Taha K, van Osta N, Lie ØH, Asselbergs FW, Lumens J, te Riele ASJM, Hasselberg NE, Cramer MJ, Haugaa KH, Teske AJ. The added value of abnormal regional myocardial function for risk prediction in arrhythmogenic right ventricular cardiomyopathy. Eur Heart J Cardiovasc Imaging 2023; 24:1710-1718. [PMID: 37474315 PMCID: PMC10667035 DOI: 10.1093/ehjci/jead174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/13/2023] [Accepted: 07/13/2023] [Indexed: 07/22/2023] Open
Abstract
AIMS A risk calculator for individualized prediction of first-time sustained ventricular arrhythmia (VA) in arrhythmogenic right ventricular cardiomyopathy (ARVC) patients has recently been developed and validated (www.ARVCrisk.com). This study aimed to investigate whether regional functional abnormalities, measured by echocardiographic deformation imaging, can provide additional prognostic value. METHODS AND RESULTS From two referral centres, 150 consecutive patients with a definite ARVC diagnosis, no prior sustained VA, and an echocardiogram suitable for deformation analysis were included (aged 41 ± 17 years, 50% female). During a median follow-up of 6.3 (interquartile range 3.1-9.8) years, 37 (25%) experienced a first-time sustained VA. All tested left and right ventricular (LV and RV) deformation parameters were univariate predictors for first-time VA. While LV function did not add predictive value in multivariate analysis, two RV deformation parameters did; RV free wall longitudinal strain and regional RV deformation patterns remained independent predictors after adjusting for the calculator-predicted risk [hazard ratio 1.07 (95% CI 1.02-1.11); P = 0.004 and 4.45 (95% CI 1.07-18.57); P = 0.040, respectively] and improved its discriminative value (from C-statistic 0.78 to 0.82 in both; Akaike information criterion change > 2). Importantly, all patients who experienced VA within 5 years from the echocardiographic assessment had abnormal regional RV deformation patterns at baseline. CONCLUSIONS This study showed that regional functional abnormalities measured by echocardiographic deformation imaging can further refine personalized arrhythmic risk prediction when added to the ARVC risk calculator. The excellent negative predictive value of normal RV deformation could support clinicians considering the timing of implantable cardioverter defibrillator implantation in patients with intermediate arrhythmic risk.
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Affiliation(s)
- Feddo P Kirkels
- Division of Heart and Lungs, Department of Cardiology, University Medical Centre Utrecht, Heidelberglaan 100, Utrecht 3582 CX, The Netherlands
- Netherlands Heart Institute, Utrecht, The Netherlands
- Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- ProCardio Centre for Innovation, Department of Cardiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Christine Rootwelt-Norberg
- ProCardio Centre for Innovation, Department of Cardiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Laurens P Bosman
- Division of Heart and Lungs, Department of Cardiology, University Medical Centre Utrecht, Heidelberglaan 100, Utrecht 3582 CX, The Netherlands
| | - Eivind W Aabel
- ProCardio Centre for Innovation, Department of Cardiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Steven A Muller
- Division of Heart and Lungs, Department of Cardiology, University Medical Centre Utrecht, Heidelberglaan 100, Utrecht 3582 CX, The Netherlands
- Netherlands Heart Institute, Utrecht, The Netherlands
| | - Anna I Castrini
- ProCardio Centre for Innovation, Department of Cardiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Karim Taha
- Division of Heart and Lungs, Department of Cardiology, University Medical Centre Utrecht, Heidelberglaan 100, Utrecht 3582 CX, The Netherlands
| | - Nick van Osta
- Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Øyvind H Lie
- ProCardio Centre for Innovation, Department of Cardiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Folkert W Asselbergs
- Department of Cardiology, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
- Health Data Research UK and Institute of Health Informatics, University College London, London, UK
| | - Joost Lumens
- Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Anneline S J M te Riele
- Division of Heart and Lungs, Department of Cardiology, University Medical Centre Utrecht, Heidelberglaan 100, Utrecht 3582 CX, The Netherlands
- Netherlands Heart Institute, Utrecht, The Netherlands
| | - Nina E Hasselberg
- ProCardio Centre for Innovation, Department of Cardiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Maarten J Cramer
- Division of Heart and Lungs, Department of Cardiology, University Medical Centre Utrecht, Heidelberglaan 100, Utrecht 3582 CX, The Netherlands
| | - Kristina H Haugaa
- ProCardio Centre for Innovation, Department of Cardiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Arco J Teske
- Division of Heart and Lungs, Department of Cardiology, University Medical Centre Utrecht, Heidelberglaan 100, Utrecht 3582 CX, The Netherlands
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Faro DC, Losi V, Rodolico MS, Torrisi EM, Colomba P, Duro G, Monte IP. Sex Differences in Anderson-Fabry Cardiomyopathy: Clinical, Genetic, and Imaging Analysis in Women. Genes (Basel) 2023; 14:1804. [PMID: 37761944 PMCID: PMC10531426 DOI: 10.3390/genes14091804] [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: 08/18/2023] [Revised: 09/07/2023] [Accepted: 09/11/2023] [Indexed: 09/29/2023] Open
Abstract
Anderson-Fabry Disease (AFD) is a rare, systemic lysosomal storage disease triggered by mutations in the GLA gene, leading to α-galactosidase A (α-Gal A) deficiency. The disease's X-linked inheritance leads to more severe, early-onset presentations in males, while females exhibit variable, often insidious, manifestations, notably impacting cardiac health. This study aims to examine gender-based AFD cardiac manifestations in correlation with the variant type: classical (CL), late-onset (LO), or variants of uncertain significance (VUS). We analyzed data from 72 AFD patients (53 females, 19 males) referred to the "G. Rodolico" University Hospital, employing enzyme activity measurements, genetic analysis, periodic lyso-Gb3 monitoring, comprehensive medical histories, and advanced cardiac imaging techniques. Statistical analysis was performed using SPSS version 26. Our AFD cohort, with an average age of 45 ± 16.1 years, comprised 12 individuals with hypertrophy (AFD-LVH) and 60 without (AFD-N). Women, representing about 75% of the subjects, were generally older than men (47.2 ± 16.2 vs. 38.8 ± 14.6, p = 0.046). In the female group, 17% had CL variants, 43.3% LO, and 39.6% had VUS, compared to 21.1%, 36.8%, and 31.6% in the male group, respectively. Females exhibited significantly higher α-Gal A values (median 7.9 vs. 1.8 nmol/mL/h, p < 0.001) and lower lyso-Gb3 levels (1.5 [IQR 1.1-1.7] vs. 1.9 [1.5-17.3] nmol/L, p = 0.02). Regarding the NYHA class distribution, 70% of women were in class I and 28% in class II, compared to 84% and 16% of men, respectively. Among women, 7.5% exhibited ventricular arrhythmias (10.5% in men), and 9.4% had atrial fibrillation (10.5% in men). Cardiac MRIs revealed fibrosis in 57% of examined women, compared to 87% of men. Even among patients without LVH, significant differences persisted in α-Gal A and lyso-Gb3 levels (p = 0.003 and 0.04), as well as LVMi (61.5 vs. 77.5 g/sqm, p = 0.008) and GLS values (-20% vs. -17%, p = 0.01). The analysis underscored older age, decreased lyso-Gb3 deposition, reduced hypertrophy, and lesser GLS compromise in females, suggesting later disease onset. Severe cardiac patterns were associated with classic variants, while more nuanced manifestations were noted in those with VUS. Early GLS impairment in males, irrespective of hypertrophy, emphasized the role of subclinical damage in AFD.
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Affiliation(s)
- Denise Cristiana Faro
- Department of Surgery and Medical-Surgical Specialties, University of Catania, Via Santa Sofia 78, 95123 Catania, Italy
| | - Valentina Losi
- Department of Surgery and Medical-Surgical Specialties, University of Catania, Via Santa Sofia 78, 95123 Catania, Italy
| | - Margherita Stefania Rodolico
- Institute for Biomedical Research and Innovation, National Research Council (IRIB-CNR), Section of Catania, Via P. Gaifami 18, 95126 Catania, Italy
| | - Elvira Mariateresa Torrisi
- Department of Surgery and Medical-Surgical Specialties, University of Catania, Via Santa Sofia 78, 95123 Catania, Italy
| | - Paolo Colomba
- Institute for Biomedical Research and Innovation, National Research Council (IRIB-CNR), Via Ugo La Malfa 153, 90146 Palermo, Italy
| | - Giovanni Duro
- Institute for Biomedical Research and Innovation, National Research Council (IRIB-CNR), Via Ugo La Malfa 153, 90146 Palermo, Italy
| | - Ines Paola Monte
- Department of Surgery and Medical-Surgical Specialties, University of Catania, Via Santa Sofia 78, 95123 Catania, Italy
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De Lio F, Andreis A, De Lio G, Bellettini M, Pidello S, Raineri C, Gallone G, Alunni G, Frea S, Imazio M, Castagno D, De Ferrari GM. Cardiac imaging for the prediction of sudden cardiac arrest in patients with heart failure. Heliyon 2023; 9:e17710. [PMID: 37456051 PMCID: PMC10338975 DOI: 10.1016/j.heliyon.2023.e17710] [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: 03/13/2022] [Revised: 06/11/2023] [Accepted: 06/26/2023] [Indexed: 07/18/2023] Open
Abstract
The identification of heart failure (HF) patients at risk for arrhythmic sudden cardiac arrest (SCA) is a major challenge in the cardiovascular field. In addition to optimal medical treatment for HF, implantable cardioverter defibrillator (ICD) is currently recommended to prevent SCA in patients with reduced left ventricular ejection fraction (LVEF). The indication for an ICD implantation, in addition to HF etiology, New York Health Association (NYHA) class and life expectancy, mainly depends on LVEF value at echocardiography. However, the actual role of LVEF in the prediction of SCA has recently been debated, while newer multimodality imaging techniques with increased prognostic accuracy have been developed. Speckle tracking imaging allows the quantification of mechanical dispersion, a marker of electrophysiological heterogeneity predisposing to malignant arrhythmias, while advanced cardiac magnetic resonance techniques such as myocardial T1-mapping and extracellular volume fraction assessment allow the evaluation of interstitial diffuse fibrosis. Nuclear imaging is helpful for the appraisal of sympathetic nervous system dysfunction, while newer computed tomography techniques assessing myocardial delayed enhancement allow the identification of focal myocardial scar. This review will focus on the most modern advances in the field of cardiovascular imaging along with its applications for the prediction of SCA in patients with HF. Modern artificial intelligence applications in cardiovascular imaging will also be discussed.
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Affiliation(s)
- Francesca De Lio
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Alessandro Andreis
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Giulia De Lio
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Matteo Bellettini
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Stefano Pidello
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Claudia Raineri
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Guglielmo Gallone
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Gianluca Alunni
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Simone Frea
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Massimo Imazio
- Cardiology Unit, Cardiothoracic Department, University Hospital “Santa Maria della Misericordia”, Udine, Italy
| | - Davide Castagno
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Gaetano Maria De Ferrari
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
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Tastet L, Ramakrishna S, Lim LJ, Bibby D, Olgin JE, Connolly AJ, Moffatt E, Tseng ZH, Delling FN. Mechanical Dispersion Discriminates between Arrhythmic and Non-Arrhythmic Sudden Death: From the POST SCD Study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.22.23290353. [PMID: 37293041 PMCID: PMC10246127 DOI: 10.1101/2023.05.22.23290353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Background Global longitudinal strain (GLS) and mechanical dispersion (MD) by speckle-tracking echocardiography can predict sudden cardiac death (SCD) beyond left ventricular ejection fraction (LVEF) alone. However, prior studies have presumed cardiac cause from EMS records or death certificates rather than gold-standard autopsies. Objectives We sought to investigate whether abnormal GLS and MD, reflective of underlying myocardial fibrosis, are associated with autopsy-defined sudden arrhythmic death (SAD) in a comprehensive postmortem study. Methods We identified and autopsied all World Health Organization-defined (presumed) SCDs ages 18-90 via active surveillance of out of hospital deaths in the ongoing San Francisco POstmortem Systematic InvesTigation of Sudden Cardiac Death (POST SCD) Study to refine presumed SCDs to true cardiac causes. We retrieved all available pre-mortem echocardiograms and assessed LVEF, LV-GLS, and MD. The extent of LV myocardial fibrosis was assessed and quantified histologically. Results Of 652 autopsied subjects, 65 (10%) had echocardiograms available for primary review, obtained at a mean 1.5 years before SCD. Of these, 37 (56%) were SADs and 29 (44%) were non-SADs; fibrosis was quantified in 38 (58%). SADs were predominantly male, but had similar age, race, baseline comorbidities, and LVEF compared to non-SADs (all p>0.05). SADs had significantly reduced LV-GLS (median: -11.4% versus -18.5%, p=0.008) and increased MD (median: 14.8 ms versus 9.4 ms, p=0.006) compared to non-SADs. MD was associated with total LV fibrosis by linear regression in SADs (r=0.58, p=0.002). Conclusion In this countywide postmortem study of all sudden deaths, autopsy-confirmed arrhythmic deaths had significantly lower LV-GLS and increased MD than non-arrhythmic sudden deaths. Increased MD correlated with higher histologic levels of LV fibrosis in SADs. These findings suggest that increased MD, which is a surrogate for the extent of myocardial fibrosis, may improve risk stratification and specification for SAD beyond LVEF. PERSPECTIVES Competency in medical knowledge: Mechanical dispersion derived from speckle tracking echocardiography provides better discrimination between autopsy-defined arrhythmic vs non-arrhythmic sudden death than LVEF or LV-GLS. Histological ventricular fibrosis correlates with increased mechanical dispersion in SAD.Translational outlook: Speckle tracking echocardiography parameters, in particular mechanical dispersion, may be considered as a non-invasive surrogate marker for myocardial fibrosis and risk stratification in SCD.
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Bjerregaard CL, Skaarup KG, Lassen MCH, Biering-Sørensen T, Olsen FJ. Strain Imaging and Ventricular Arrhythmia. Diagnostics (Basel) 2023; 13:diagnostics13101778. [PMID: 37238262 DOI: 10.3390/diagnostics13101778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Revised: 05/11/2023] [Accepted: 05/13/2023] [Indexed: 05/28/2023] Open
Abstract
Ventricular arrhythmia is one of the main causes of sudden cardiac death. Hence, identifying patients at risk of ventricular arrhythmias and sudden cardiac death is important but can be challenging. The indication for an implantable cardioverter defibrillator as a primary preventive strategy relies on the left ventricular ejection fraction as a measure of systolic function. However, ejection fraction is flawed by technical constraints and is an indirect measure of systolic function. There has, therefore, been an incentive to identify other markers to optimize the risk prediction of malignant arrhythmias to select proper candidates who could benefit from an implantable cardioverter defibrillator. Speckle-tracking echocardiography allows for a detailed assessment of cardiac mechanics, and strain imaging has repeatedly been shown to be a sensitive technique to identify systolic dysfunction unrecognized by ejection fraction. Several strain measures, including global longitudinal strain, regional strain, and mechanical dispersion, have consequently been proposed as potential markers of ventricular arrhythmias. In this review, we will provide an overview of the potential use of different strain measures in the context of ventricular arrhythmias.
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Affiliation(s)
- Caroline Løkke Bjerregaard
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, 2900 Hellerup, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Kristoffer Grundtvig Skaarup
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, 2900 Hellerup, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Mats Christian Højbjerg Lassen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, 2900 Hellerup, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Tor Biering-Sørensen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, 2900 Hellerup, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Flemming Javier Olsen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, 2900 Hellerup, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
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10
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Considering Both GLS and MD for a Prognostic Value in Non-ST-Segment Elevated Acute Coronary Artery Syndrome. Diagnostics (Basel) 2023; 13:diagnostics13040745. [PMID: 36832233 PMCID: PMC9955699 DOI: 10.3390/diagnostics13040745] [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: 01/12/2023] [Revised: 02/06/2023] [Accepted: 02/13/2023] [Indexed: 02/18/2023] Open
Abstract
Global longitudinal strain (GLS) and mechanical dispersion (MD), as determined by 2D speckle tracking echocardiography, have been demonstrated to be reliable indicators of prognosis in a variety of cardiovascular illnesses. There are not many papers that discuss the prognostic significance of GLS and MD in a population with non-ST-segment elevated acute coronary syndrome (NSTE-ACS). Our study objective was to examine the predictive utility of the novel GLS/MD two-dimensional strain index in NSTE-ACS patients. Before discharge and four to six weeks later, echocardiography was performed on 310 consecutive hospitalized patients with NSTE-ACS and effective percutaneous coronary intervention (PCI). Cardiac mortality, malignant ventricular arrhythmia, or readmission owing to heart failure or reinfarction were the major end points. A total of 109 patients (35.16%) experienced cardiac incidents during the follow-up period (34.7 ± 8 months). The GLS/MD index at discharge was determined to be the greatest independent predictor of composite result by receiver operating characteristic analysis. The ideal cut-off value was -0.229. GLS/MD was determined to be the top independent predictor of cardiac events by multivariate Cox regression analysis. Patients with an initial GLS/MD > -0.229 that deteriorated after four to six weeks had the worst prognosis for a composite outcome, readmission, and cardiac death according to a Kaplan-Meier analysis (all p < 0.001). In conclusion, the GLS/MD ratio is a strong indicator of clinical fate in NSTE-ACS patients, especially if it is accompanied by deterioration.
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11
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Sharifkazemi M, Rezaian G, Lotfi M. Evaluation of myocardial performance by serial speckle tracking echocardiography in diagnosis and follow-up of a patient with eosinophilic myocarditis. Echo Res Pract 2023; 10:1. [PMID: 36698163 PMCID: PMC9878865 DOI: 10.1186/s44156-022-00013-6] [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: 12/12/2021] [Accepted: 11/25/2022] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Speckle tracking echocardiography (STE) has been used as an adjunct diagnostic modality in patients with eosinophilic myocarditis. Its serial dynamic nature, however, has never been reported before. CASE PRESENTATION A 17-year-old boy presented in cardiogenic shock state. His full blood count revealed an absolute eosinophilic count of 11.18 × 103/μL. An emergency 2D echocardiogram (2DE) showed global left ventricular hypokinesia with LVEF = 9.0% by Simpson's method and a large amount of pericardial effusion. STE showed a global longitudinal strain (GLS) of - 4.1%. Because of his poor clinical status and presence of marked hypereosinophilia and the possibility of eosinophilic myocarditis (EM), parenteral pulse therapy with methylprednisolone and inotropes was started with subsequent improvement within the next 48 h. Over the next few days, he had his first cardiovascular magnetic resonance imaging (CMR), which showed late gadolinium enhancement (LGE) in different cardiac regions. After two weeks of therapy, he left the hospital in a stable condition, with LVEF = 38.0%, and GLS = - 13.9%. He did well during his two months of outpatient follow-ups and was found to have an absolute eosinophil count of 0.0% on several occasions. Unfortunately, he was re-admitted because of treatment non-compliance with almost the same, albeit milder, symptoms. The WBC count was 18.1 × 103 per microliter, and the eosinophilic count was 5.04 × 103/μL (28%). Heart failure treatment and high-dose prednisolone were started. After 15 days of admission, he got better and was discharged. During both hospital admissions and several months of follow-up, he had multiple 2DEs, STE, and two CMR studies. None of his STEs were identical to the prior studies and were dynamic with frequent wax and wanes throughout the admissions and follow-ups. Thus a single admission-time STE study was not sufficient enough to properly predict the patient's outcome. Follow-up STEs showed new sites of myocardial involvement despite the absence of eosinophilia. CONCLUSION The use of STE in this patient, proved to have an added value in the evaluation and stratification of the left ventricular function in patients with EM and can be used as a diagnostic adjunct to CMR for diagnosis of EM.
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Affiliation(s)
- Mohammadbagher Sharifkazemi
- grid.412571.40000 0000 8819 4698Department of Cardiology, Nemazee Hospital, Shiraz University of Medical Sciences, Nemazee Square, Shiraz, 71936-13311 Iran
| | - Gholamreza Rezaian
- grid.412571.40000 0000 8819 4698Department of Cardiology, Nemazee Hospital, Shiraz University of Medical Sciences, Nemazee Square, Shiraz, 71936-13311 Iran
| | - Mehrzad Lotfi
- grid.412571.40000 0000 8819 4698Department of Radiology, Shahid Faghihi Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
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12
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Brunetti G, Graziano F, Cavigli L, Cipriani A, D'Ascenzi F, Bauce B, Pilichou K, Perazzolo Marra M, Corrado D, Zorzi A. Reproducibility of ventricular arrhythmias at exercise testing for prediction of non-ischaemic left ventricular scar in athletes. Eur J Prev Cardiol 2023; 30:107-116. [PMID: 36166397 DOI: 10.1093/eurjpc/zwac224] [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: 07/01/2022] [Revised: 09/21/2022] [Accepted: 09/24/2022] [Indexed: 01/27/2023]
Abstract
AIMS The non-ischaemic left ventricular scar (NILVS) is an emerging substrate of ventricular arrhythmias (VA) in the athlete. We tested the diagnostic value of VA reproducibility at repeated exercise testing (ET). METHODS AND RESULTS We included consecutive athletes who underwent cardiac magnetic resonance (CMR) for evaluation of VA and two consecutive ET off-therapy within 12 months. Those with a positive family history of premature sudden death/cardiomyopathy, syncope/pre-syncope, ECG or echocardiography abnormalities, or low-risk VA (exercise-suppressed infundibular or fascicular VA) were excluded. The NILVS was defined as subepicardial/midmyocardial stria of late gadolinium enhancement involving >5% of the LV mass. Reproducibility was defined as the occurrence of VA with the same pattern and behaviour during repeated ET. Of 325 athletes who underwent CMR for evaluation of VA, 75 were included, and 30 showed NILVS involving three [2-4] LV segments. At first ET, athletes with NILVS showed a higher prevalence of exercise-induced VA (93% vs. 53%, P < 0.001), while other VA characteristics did not differ between groups. At repeated ET, reproducibility was observed in 97% of athletes with vs. 13% without NILVS (P < 0.001). The remaining 87% of athletes with normal CMR either did not show any VA at repeated ET (59%) or showed arrhythmias with different patterns, mostly infundibular. Reproducibility yielded a positive predictive value for NILVS of 83% and a negative predictive value of 98%. CONCLUSION VA reproducibility at repeated ET predicted an underlying NILVS in athletes with VA and otherwise normal clinical work-up. This finding may improve risk stratification and appropriate CMR referral of athletes with apparently idiopathic VA.
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Affiliation(s)
- Giulia Brunetti
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Via Giustiniani 2, 35128 Padova, Italy
| | - Francesca Graziano
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Via Giustiniani 2, 35128 Padova, Italy
| | - Luna Cavigli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, 53100 Siena, Italy
| | - Alberto Cipriani
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Via Giustiniani 2, 35128 Padova, Italy
| | - Flavio D'Ascenzi
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, 53100 Siena, Italy
| | - Barbara Bauce
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Via Giustiniani 2, 35128 Padova, Italy
| | - Kalliopi Pilichou
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Via Giustiniani 2, 35128 Padova, Italy
| | - Martina Perazzolo Marra
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Via Giustiniani 2, 35128 Padova, Italy
| | - Domenico Corrado
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Via Giustiniani 2, 35128 Padova, Italy
| | - Alessandro Zorzi
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Via Giustiniani 2, 35128 Padova, Italy
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13
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Galli E, Baritussio A, Sitges M, Donnellan E, Jaber WA, Gimelli A. Multi-modality imaging to guide the implantation of cardiac electronic devices in heart failure: is the sum greater than the individual components? Eur Heart J Cardiovasc Imaging 2023; 24:163-176. [PMID: 36458875 DOI: 10.1093/ehjci/jeac237] [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: 07/22/2022] [Accepted: 11/03/2022] [Indexed: 12/05/2022] Open
Abstract
Heart failure is a clinical syndrome with an increasing prevalence and incidence worldwide that impacts patients' quality of life, morbidity, and mortality. Implantable cardioverter-defibrillator and cardiac resynchronization therapy are pillars of managing patients with HF and reduced left ventricular ejection fraction. Despite the advances in cardiac imaging, the assessment of patients needing cardiac implantable electronic devices relies essentially on the measure of left ventricular ejection fraction. However, multi-modality imaging can provide important information concerning the aetiology of heart failure, the extent and localization of myocardial scar, and the pathophysiological mechanisms of left ventricular conduction delay. This paper aims to highlight the main novelties and progress in the field of multi-modality imaging to identify patients who will benefit from cardiac resynchronization therapy and/or implantable cardioverter-defibrillator. We also want to underscore the boundaries that prevent the application of imaging-derived parameters to patients who will benefit from cardiac implantable electronic devices and orient the choice of the device. Finally, we aim at providing some reflections for future research in this field.
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Affiliation(s)
- Elena Galli
- Department of Cardiology, University Hospital of Rennes, 35000 Rue Henri Le Guilloux, Rennes, France
| | - Anna Baritussio
- Cardiology, Department of Cardiac, Vascular, Thoracic Sciences and Public Health, University Hospital of Padua, 35121 Via Nicolò Giustiniani, Padua, Italy
| | - Marta Sitges
- Cardiovascular Institute, Hospital Clínic, Universitat de Barcelona, 08036 C. de Villarroel, Barcelona, Spain
| | - Eoin Donnellan
- Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, USA
| | - Wael A Jaber
- Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, USA
| | - Alessia Gimelli
- Fondazione Toscana G. Monasterio, 56124 Via Giuseppe Moruzzi, Pisa, Italy
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14
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Beneyto M, Maury P, Rollin A, Mondoly P, Mandel F, Pascal P, Cariou E, Carrié D, Galinier M, Lairez O. Phase analysis for ventricular arrhythmia prediction: A retrospective monocentric cohort study. J Nucl Cardiol 2022; 29:3086-3098. [PMID: 34877639 DOI: 10.1007/s12350-021-02864-8] [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: 10/05/2021] [Accepted: 11/01/2021] [Indexed: 01/22/2023]
Abstract
BACKGROUND Prediction of ventricular arrhythmias (VA) mostly relies on left ventricular ejection fraction (LVEF), but with limited performance. New echocardiographic parameters such as mechanical dispersion have emerged, but acoustic window sometimes precludes this measurement. Nuclear imaging may be an alternative. We aimed to assess the ability of mechanical dispersion, measured with phase standard deviation (PSD) on radionuclide angiocardiography (RNA), to predict VAs. METHODS This retrospective monocentric observational study included all patients who underwent a tomographic RNA from 2015 to 2019. Phase analysis yielded PSD and follow-up was examined to identify VAs, heart transplantation, and death. RESULTS The study population consisted of 937 patients, mainly with LVEF ≤ 35% (425, 45%). Most had ischemic (334, 36%) or dilated cardiomyopathies (245, 26%). We identified 86 (9%) VAs. PSD was strongly associated with the occurrence of VA [hazard ratio per 10 ms increase (HR10) 1.12 (1.09-1.16)], heart transplantation [HR10 1.09 (1.06-1.12)], and death [HR10 1.03 (1.00-1.05)]. The association between PSD and VA persisted after adjustment for age, sex, QRS duration, LVEF, global longitudinal strain (GLS), and echocardiography-assessed mechanical dispersion. CONCLUSION The occurrence of ventricular arrhythmias was predicted by mechanical dispersion assessed by RNA, even after adjustment for LVEF and GLS.
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Affiliation(s)
- Maxime Beneyto
- Department of Cardiology, Toulouse University Hospital, Toulouse, France.
- Cardiac Imaging Center, Toulouse University Hospital, Toulouse, France.
| | - Philippe Maury
- Department of Pacing and Electrophysiology, Toulouse University Hospital, Toulouse, France
- I2MC, INSERM UMR 1297, Toulouse, France
| | - Anne Rollin
- Department of Pacing and Electrophysiology, Toulouse University Hospital, Toulouse, France
| | - Pierre Mondoly
- Department of Pacing and Electrophysiology, Toulouse University Hospital, Toulouse, France
| | - Franck Mandel
- Department of Pacing and Electrophysiology, Toulouse University Hospital, Toulouse, France
| | - Pierre Pascal
- Department of Nuclear Medicine, Toulouse University Hospital, Toulouse, France
| | - Eve Cariou
- Department of Cardiology, Toulouse University Hospital, Toulouse, France
- Cardiac Imaging Center, Toulouse University Hospital, Toulouse, France
| | - Didier Carrié
- Department of Cardiology, Toulouse University Hospital, Toulouse, France
| | - Michel Galinier
- Department of Cardiology, Toulouse University Hospital, Toulouse, France
| | - Olivier Lairez
- Department of Cardiology, Toulouse University Hospital, Toulouse, France
- Cardiac Imaging Center, Toulouse University Hospital, Toulouse, France
- Department of Nuclear Medicine, Toulouse University Hospital, Toulouse, France
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15
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Régis C, Rouzet F. A new perspective for phase analysis of radionuclide angiocardiography. J Nucl Cardiol 2022; 29:3099-3101. [PMID: 35137338 DOI: 10.1007/s12350-022-02912-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 01/06/2022] [Indexed: 01/18/2023]
Affiliation(s)
- Claudine Régis
- Nuclear Medicine Department, Hôpital Bichat-Claude Bernard, AP-HP, Paris, France
- Department of Medical Imaging, Institut de cardiologie de Montréal, Université de Montréal, Montréal, QC, Canada
| | - François Rouzet
- Nuclear Medicine Department, Hôpital Bichat-Claude Bernard, AP-HP, Paris, France.
- Université de Paris and Inserm U1148, Paris, France.
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16
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Zhao X, Zhao X, Jin F, Wang L, Zhang L. Prognostic Value of
Cardiac‐MRI
Scar Heterogeneity Combined With Left Ventricular Strain in Patients With Myocardial Infarction. J Magn Reson Imaging 2022. [DOI: 10.1002/jmri.28478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/29/2022] [Accepted: 09/29/2022] [Indexed: 11/16/2022] Open
Affiliation(s)
- Xiaoying Zhao
- Department of Radiology The Second Affiliated Hospital of Kunming Medical University Kunming China
| | - Xinxiang Zhao
- Department of Radiology The Second Affiliated Hospital of Kunming Medical University Kunming China
| | - Fuwei Jin
- Department of Radiology The Second Affiliated Hospital of Kunming Medical University Kunming China
| | - Lujing Wang
- Department of Radiology The Second Affiliated Hospital of Kunming Medical University Kunming China
| | - Li Zhang
- Department of Radiology The Second Affiliated Hospital of Kunming Medical University Kunming China
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17
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Edvardsen T, Asch FM, Davidson B, Delgado V, DeMaria A, Dilsizian V, Gaemperli O, Garcia MJ, Kamp O, Lee DC, Neglia D, Neskovic AN, Pellikka PA, Plein S, Sechtem U, Shea E, Sicari R, Villines TC, Lindner JR, Popescu BA. Non-Invasive Imaging in Coronary Syndromes: Recommendations of The European Association of Cardiovascular Imaging and the American Society of Echocardiography, in Collaboration with The American Society of Nuclear Cardiology, Society of Cardiovascular Computed Tomography, and Society for Cardiovascular Magnetic Resonance. J Cardiovasc Comput Tomogr 2022; 16:362-383. [PMID: 35729014 DOI: 10.1016/j.jcct.2022.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Thor Edvardsen
- Department of Cardiology, Oslo University Hospital, Rikshospitalet, University of Oslo, Oslo, Norway.
| | - Federico M Asch
- MedStar Health Research Institute, Georgetown University, Washington, District of Columbia
| | - Brian Davidson
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon; VA Portland Health Care System, Portland, Oregon
| | - Victoria Delgado
- Department of Cardiology, Leiden University Medical Centre, Leiden, the Netherlands
| | | | - Vasken Dilsizian
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Medical Center, Baltimore, Maryland
| | | | - Mario J Garcia
- Division of Cardiology, Montefiore-Einstein Center for Heart and Vascular Care, Bronx, New York
| | - Otto Kamp
- Department of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Daniel C Lee
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Danilo Neglia
- Department of Cardiology, Istituto di Scienze della Vita Scuola Superiore Sant Anna Pisa, Pisa, Italy
| | - Aleksandar N Neskovic
- Faculty of Medicine, Department of Cardiology, Clinical Hospital Center Zemun, University of Belgrade, Belgrade, Serbia
| | - Patricia A Pellikka
- Division of Cardiovascular Ultrasound, Department of Cardiovascular Medicine, Rochester, Minnesota
| | - Sven Plein
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Udo Sechtem
- Cardiologicum Stuttgart and Department of Cardiology, Robert Bosch Krankenhaus, Stuttgart, Germany
| | - Elaine Shea
- Alta Bates Summit Medical Center, Berkeley and Oakland, Berkeley, California
| | - Rosa Sicari
- CNR, Institute of Clinical Physiology, Pisa, Italy
| | - Todd C Villines
- Division of Cardiovascular Medicine, University of Virginia Health System, University of Virginia Health Center, Charlottesville, Virginia
| | - Jonathan R Lindner
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Bogdan A Popescu
- Department of Cardiology, University of Medicine and Pharmacy Carol Davila Euroecolab, Emergency Institute for Cardiovascular Diseases Prof. Dr. C. C. Iliescu, Bucharest, Romania
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18
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Edvardsen T, Asch FM, Davidson B, Delgado V, DeMaria A, Dilsizian V, Gaemperli O, Garcia MJ, Kamp O, Lee DC, Neglia D, Neskovic AN, Pellikka PA, Plein S, Sechtem U, Shea E, Sicari R, Villines TC, Lindner JR, Popescu BA. Non-Invasive Imaging in Coronary Syndromes: Recommendations of The European Association of Cardiovascular Imaging and the American Society of Echocardiography, in Collaboration with The American Society of Nuclear Cardiology, Society of Cardiovascular Computed Tomography, and Society for Cardiovascular Magnetic Resonance. J Am Soc Echocardiogr 2022; 35:329-354. [PMID: 35379446 DOI: 10.1016/j.echo.2021.12.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Thor Edvardsen
- Department of Cardiology, Oslo University Hospital, Rikshospitalet, University of Oslo, Oslo, Norway.
| | - Federico M Asch
- MedStar Health Research Institute, Georgetown University, Washington, District of Columbia
| | - Brian Davidson
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon; VA Portland Health Care System, Portland, Oregon
| | - Victoria Delgado
- Department of Cardiology, Leiden University Medical Centre, Leiden, the Netherlands
| | | | - Vasken Dilsizian
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Medical Center, Baltimore, Maryland
| | | | - Mario J Garcia
- Division of Cardiology, Montefiore-Einstein Center for Heart and Vascular Care, Bronx, New York
| | - Otto Kamp
- Department of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Daniel C Lee
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Danilo Neglia
- Department of Cardiology, Istituto di Scienze della Vita Scuola Superiore Sant'Anna - Pisa, Pisa, Italy
| | - Aleksandar N Neskovic
- Faculty of Medicine, Department of Cardiology, Clinical Hospital Center Zemun, University of Belgrade, Belgrade, Serbia
| | - Patricia A Pellikka
- Division of Cardiovascular Ultrasound, Department of Cardiovascular Medicine, Rochester, Minnesota
| | - Sven Plein
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Udo Sechtem
- Cardiologicum Stuttgart and Department of Cardiology, Robert Bosch Krankenhaus, Stuttgart, Germany
| | - Elaine Shea
- Alta Bates Summit Medical Center, Berkeley and Oakland, Berkeley, California
| | - Rosa Sicari
- CNR, Institute of Clinical Physiology, Pisa, Italy
| | - Todd C Villines
- Division of Cardiovascular Medicine, University of Virginia Health System, University of Virginia Health Center, Charlottesville, Virginia
| | - Jonathan R Lindner
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Bogdan A Popescu
- Department of Cardiology, University of Medicine and Pharmacy "Carol Davila"-Euroecolab, Emergency Institute for Cardiovascular Diseases "Prof. Dr. C. C. Iliescu", Bucharest, Romania
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19
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Zhang H, Shi K, Fei M, Fan X, Liu L, Xu C, Qin S, Zhang J, Wang J, Zhang Y, Lv Z, Che W, Yu F. A Left Ventricular Mechanical Dyssynchrony-Based Nomogram for Predicting Major Adverse Cardiac Events Risk in Patients With Ischemia and No Obstructive Coronary Artery Disease. Front Cardiovasc Med 2022; 9:827231. [PMID: 35369339 PMCID: PMC8971375 DOI: 10.3389/fcvm.2022.827231] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 02/18/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThe risk stratification of patients with ischemia and no obstructive coronary artery disease (INOCA) remains suboptimal. This study aims to establish a left ventricular mechanical dyssynchrony (LVMD)-based nomogram to improve the present situation.MethodsPatients with suspected coronary artery disease (CAD) were retrospectively enrolled and divided into three groups: normal (stenosis <50%, without myocardial ischemia), INOCA (stenosis <50%, summed stress score >4, summed difference score ≥2), and obstructive CAD (stenosis ≥50%). LVMD was defined by ROC analysis. INOCA group were followed up for the occurrence of major adverse cardiac events (MACEs: cardiovascular death, non-fatal myocardial infarction, revascularization, stroke, heart failure, and hospitalization for unstable angina). Nomogram was established using multivariate Cox regression analysis.ResultsAmong 334 patients (118 [35.3%] INOCA), LVMD parameters were significantly higher in INOCA group versus normal group but they did not differ between obstructive CAD groups. In INOCA group, 27 (22.9%) MACEs occurred during a 26-month median follow-up. Proportion of LVMD was significantly higher with MACEs under both stress (63.0% vs. 22.0%, P < 0.001) and rest (51.9% vs. 20.9%, P = 0.002). Kaplan–Meier analysis revealed significantly higher rate of MACEs (stress log-rank: P = 0.002; rest log-rank: P < 0.001) in LVMD patients. Multivariate Cox regression analysis showed that stress LVMD (HR: 3.82; 95% CI: 1.30–11.20; P = 0.015) was an independent predictor of MACEs. The internal bootstrap resampling approach indicates that the C-index of nomogram was 0.80 (95% CI: 0.71–0.89) and the AUC values for 1 and 3 years of risk prediction were 0.68 (95% CI: 0.46–0.89) and 0.84 (95% CI: 0.72–0.95), respectively.ConclusionLVMD-based nomogram might provide incremental prognostic value and improve the risk stratification in INOCA patients.
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Affiliation(s)
- Han Zhang
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Nuclear Medicine, Tongji University School of Medicine, Shanghai, China
| | - Kuangyu Shi
- Department of Nuclear Medicine, University of Bern, Bern, Switzerland
- Department of Informatics, Technical University of Munich, Munich, Germany
| | - Mengyu Fei
- Department of Radiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xin Fan
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Nuclear Medicine, Tongji University School of Medicine, Shanghai, China
| | - Lu Liu
- Department of Cardiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chong Xu
- Department of Cardiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
| | - Shanshan Qin
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Nuclear Medicine, Tongji University School of Medicine, Shanghai, China
| | - Jiajia Zhang
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Nuclear Medicine, Tongji University School of Medicine, Shanghai, China
| | - Junpeng Wang
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Nuclear Medicine, Tongji University School of Medicine, Shanghai, China
| | - Yu Zhang
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Nuclear Medicine, Tongji University School of Medicine, Shanghai, China
| | - Zhongwei Lv
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Nuclear Medicine, Tongji University School of Medicine, Shanghai, China
- *Correspondence: Zhongwei Lv,
| | - Wenliang Che
- Department of Cardiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Wenliang Che,
| | - Fei Yu
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Nuclear Medicine, Tongji University School of Medicine, Shanghai, China
- Fei Yu,
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20
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Aagaard EN, Lyngbakken MN, Kvisvik B, Berge T, Pervez MO, Ariansen I, Tveit A, Steine K, Røsjø H, Omland T. Associations between cardiovascular risk factors, biomarkers, and left ventricular mechanical dispersion: insights from the ACE 1950 Study. EUROPEAN HEART JOURNAL OPEN 2022; 2:oeac006. [PMID: 35919126 PMCID: PMC9242045 DOI: 10.1093/ehjopen/oeac006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 01/22/2022] [Indexed: 11/14/2022]
Abstract
Aims Mechanical dispersion measures left ventricular contraction heterogeneity and is associated with the risk of sudden cardiac death. However, the associations between mechanical dispersion and cardiovascular risk factors in early mid-life, and established biomarkers of sub-clinical myocardial injury and dysfunction are not known. We aimed to examine this in the general population. Methods and results During 2012–15, we included 2527 Norwegian individuals from the general population born in 1950, with measurements of mechanical dispersion by 2D speckle tracking echocardiography and concentrations of high-sensitivity cardiac troponin T (hs-cTnT) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) available. Mechanical dispersion was calculated as the standard deviation of the contraction duration of 17 strain segments. We assessed the associations between mechanical dispersion, concentrations of hs-cTnT and NT-proBNP, and cardiovascular risk factors collected at a national health screening survey two decades earlier. At echocardiography baseline, median age was 64 (interquartile range 63.5–64.5) years, 49.8% were women, 59.1% had hypertension, and 5.9% reported established coronary artery disease. Median mechanical dispersion was 38.0 (29.5–47.0) ms, median hs-cTnT concentration 6 (4–8) ng/L, and the median NT-proBNP concentration 54 (34–93) ng/L. Mechanical dispersion was associated with both hs-cTnT and NT-proBNP concentrations in multivariable models adjusted for clinical and echocardiographic variables. High body mass index, serum triglyceride concentrations, and low resting heart rate at Age 40 were independently associated with increased mechanical dispersion two decades later. Conclusion Established risk factors at Age 40 are associated with mechanical dispersion two decades later, and mechanical dispersion is cross-sectionally associated with biomarkers of subclinical myocardial injury and dysfunction.
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Affiliation(s)
- Erika N Aagaard
- Division of Medicine, Department of Cardiology, Akershus University Hospital , Lørenskog, Norway
- Faculty of Medicine, Institute for Clinical Medicine, University of Oslo , Oslo, Norway
| | - Magnus N Lyngbakken
- Division of Medicine, Department of Cardiology, Akershus University Hospital , Lørenskog, Norway
- Faculty of Medicine, Institute for Clinical Medicine, University of Oslo , Oslo, Norway
| | - Brede Kvisvik
- Division of Medicine, Department of Cardiology, Akershus University Hospital , Lørenskog, Norway
- Faculty of Medicine, Institute for Clinical Medicine, University of Oslo , Oslo, Norway
| | - Trygve Berge
- Department of Medical Research, Bærum Hospital, Vestre Viken Hospital Trust , Norway
| | - Mohammad O Pervez
- Division of Medicine, Department of Cardiology, Akershus University Hospital , Lørenskog, Norway
| | - Inger Ariansen
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health , Oslo, Norway
| | - Arnljot Tveit
- Faculty of Medicine, Institute for Clinical Medicine, University of Oslo , Oslo, Norway
- Department of Medical Research, Bærum Hospital, Vestre Viken Hospital Trust , Norway
| | - Kjetil Steine
- Division of Medicine, Department of Cardiology, Akershus University Hospital , Lørenskog, Norway
- Faculty of Medicine, Institute for Clinical Medicine, University of Oslo , Oslo, Norway
| | - Helge Røsjø
- Faculty of Medicine, Institute for Clinical Medicine, University of Oslo , Oslo, Norway
- Division of Research and Innovation, Akershus University Hospital , Sykehusveien 25, 1478 Lørenskog, Norway
| | - Torbjørn Omland
- Division of Medicine, Department of Cardiology, Akershus University Hospital , Lørenskog, Norway
- Faculty of Medicine, Institute for Clinical Medicine, University of Oslo , Oslo, Norway
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21
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Frodi DM, Kolk MZH, Langford J, Andersen TO, Knops RE, Tan HL, Svendsen JH, Tjong FVY, Diederichsen SZ. Rationale and design of the SafeHeart study: Development and testing of a mHealth tool for the prediction of arrhythmic events and implantable cardioverter-defibrillator therapy. CARDIOVASCULAR DIGITAL HEALTH JOURNAL 2022; 2:S11-S20. [PMID: 35265921 PMCID: PMC8890037 DOI: 10.1016/j.cvdhj.2021.10.002] [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] [Indexed: 11/22/2022] Open
Abstract
Background Patients with an implantable cardioverter-defibrillator (ICD) are at a high risk of malignant ventricular arrhythmias. The use of remote ICD monitoring, wearable devices, and patient-reported outcomes generate large volumes of potential valuable data. Artificial intelligence–based methods can be used to develop personalized prediction models and improve early-warning systems. Objective The purpose of this study was to develop an integrated web-based personalized prediction engine for ICD therapy. Methods This international, multicenter, prospective, observational study consists of 2 phases: (1) a development study and (2) a feasibility study. We plan to enroll 400 participants with an ICD (with or without cardiac resynchronization therapy) on remote monitoring: 300 participants in the development study and 100 in the feasibility study. During 12-month follow-up, electronic health record data, remote monitoring data, accelerometry-assessed physical behavior data, and patient-reported data are collected. By using machine- and deep-learning approaches, a prediction engine is developed to assess the risk probability of ICD therapy (shock and antitachycardia pacing). The feasibility of the prediction engine as a clinical tool, the SafeHeart Platform, is assessed during the feasibility study. Results Development study recruitment commenced in 2021. The feasibility study starts in 2022. Conclusion SafeHeart is the first study to prospectively collect a multimodal data set to construct a personalized prediction engine for ICD therapy. Moreover, SafeHeart explores the integration and added value of detailed objective accelerometer data in the prediction of clinical events. The translation of the SafeHeart Platform to clinical practice is examined during the feasibility study.
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Affiliation(s)
- Diana M Frodi
- Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Maarten Z H Kolk
- Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Joss Langford
- Activinsights Ltd., Kimbolton, United Kingdom.,College of Life and Environmental Sciences, University of Exeter, Exeter, United Kingdom
| | - Tariq O Andersen
- Vital Beats, Copenhagen, Denmark.,Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Reinoud E Knops
- Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Hanno L Tan
- Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Netherlands Heart Institute, Utrecht, The Netherlands
| | - Jesper H Svendsen
- Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Fleur V Y Tjong
- Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Soeren Z Diederichsen
- Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
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22
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Bennett S, Tafuro J, Duckett S, Appaji A, Khan JN, Heatlie G, Cubukcu A, Kwok CS. Definition, prevalence, and clinical significance of mitral annular disjunction in different patient cohorts: A systematic review. Echocardiography 2022; 39:514-523. [PMID: 35122307 DOI: 10.1111/echo.15299] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 11/27/2021] [Accepted: 01/01/2022] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Mitral annular disjunction (MAD) is a structural abnormality involving a distinct separation of the left atrium/mitral valve annulus and myocardium continuum. The literature around MAD has increased over recent years, thus we sought to review the current data on the definition, prevalence, and clinical outcomes of MAD. METHODS A search of MEDLINE and EMBASE was conducted to identify studies which evaluated MAD in any patient cohort. The study results were synthesized narratively. RESULTS A total of 12 studies were included with 3925 patients (average age 62 years, 63% male). The pooled prevalence of MAD in patients with mitral valve prolapse and/or Barlow's disease was 30.1%. In a general population, MAD prevalence was 8.7%. The definition of MAD was not consistent across all studies. In terms of clinical outcomes, only one study reported MAD to be associated with ventricular arrhythmias. CONCLUSIONS MAD is an increasingly recognized finding amongst patients undergoing cardiac imaging. This review highlights the need for agreed definitions for clinically significant MAD and how identified MAD should be managed. At present, there is insufficient evidence that MAD is associated adverse clinical outcomes.
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Affiliation(s)
- Sadie Bennett
- Department of Cardiology, University Hospitals of North Midlands, Heart and Lung Centre, Royal Stoke University Hospital, Stoke-on-Trent, UK
| | - Jacopo Tafuro
- Department of Cardiology, University Hospitals of North Midlands, Heart and Lung Centre, Royal Stoke University Hospital, Stoke-on-Trent, UK
| | - Simon Duckett
- Department of Cardiology, University Hospitals of North Midlands, Heart and Lung Centre, Royal Stoke University Hospital, Stoke-on-Trent, UK.,Keele University, Keele, UK
| | - Anik Appaji
- Department of Cardiology, University Hospitals of North Midlands, Heart and Lung Centre, Royal Stoke University Hospital, Stoke-on-Trent, UK
| | - Jamal Nasir Khan
- Department of Cardiology, University Hospitals of Coventry and Warwickshire NHS Trust, Coventry, UK.,University of Warwick, Coventry, UK
| | - Grant Heatlie
- Department of Cardiology, University Hospitals of North Midlands, Heart and Lung Centre, Royal Stoke University Hospital, Stoke-on-Trent, UK
| | - Arzu Cubukcu
- Department of Cardiology, Macclesfield District General Hospital, Macclesfield, UK
| | - Chun Shing Kwok
- Department of Cardiology, University Hospitals of North Midlands, Heart and Lung Centre, Royal Stoke University Hospital, Stoke-on-Trent, UK.,Keele University, Keele, UK
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23
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Prognostic value of non-contrast myocardial T1 mapping in cardiovascular diseases: a systematic review and meta-analysis. Heart Fail Rev 2022; 27:1899-1909. [DOI: 10.1007/s10741-021-10191-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/03/2021] [Indexed: 11/25/2022]
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24
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Fernandes GC, Singh JP. Beyond Ejection Fraction - Is there a Role for the Use of Mechanical Dispersion in Predicting Ventricular Arrhythmias? J Am Soc Echocardiogr 2021; 35:366-368. [PMID: 34942333 DOI: 10.1016/j.echo.2021.12.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 12/14/2021] [Indexed: 11/28/2022]
Affiliation(s)
- Gilson C Fernandes
- Cardiac Arrhythmia Service, Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Jagmeet P Singh
- Cardiac Arrhythmia Service, Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States..
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25
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Appadurai V, Scalia GM, Lau K, Chamberlain R, Edwards N, Bushell H, Scalia W, Tomlinson S, Hamilton-Craig C, Chan J. Impact of inter-vendor variability on evaluation of left ventricular mechanical dispersion. Echocardiography 2021; 39:54-64. [PMID: 34873750 DOI: 10.1111/echo.15270] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 10/31/2021] [Accepted: 11/16/2021] [Indexed: 12/01/2022] Open
Abstract
PURPOSE Left ventricular mechanical dispersion (LVMD) is a novel speckle tracking parameter for prognostic assessment of arrhythmic risk prediction. There is growing evidence to support its use in a variety of cardiomyopathic processes. There is paucity of data addressing any presence of inter-vendor discrepancies for LVMD. The aim of this study was to assess inter-vendor variability of LVMD in vendor specific software (VSS) and vendor independent software (VIS) in subjects with preserved and reduced left ventricular function. METHODS Fifty-nine subjects (14 normal subjects and 45 subjects with cardiac disease) were recruited and 2D speckle tracking echocardiographic images were acquired on two different ultrasound machines (GE and Philips). LVMD was measured by two different VSS (EchoPac GE and QLAB Philips) and one VIS (TomTec Arena). RESULTS There was significant bias and wide limits of agreement (LOA) in the overall cohort observed between two different VSS (17.6 ms; LOA: -29.6 to 64.8; r: .47). There was acceptable bias and narrower LOA with good agreement for LVMD between images obtained on different vendors when performed on VIS (-3.1 ms; LOA: -27.6 to 21.4; r: .75). QLAB LVMD was consistently higher than GE LVMD and TomTec LVMD in both preserved and reduced left ventricular function. LVMD measurements have high intra-vendor reproducibility with excellent inter and intra-observer agreement. CONCLUSIONS There was acceptable bias and narrower LOA for LVMD assessment on a VIS. Inter-vendor variability exists for LVMD assessment between VSS. Serial measurements of LVMD should be performed using a single vendor for consistent and reliable results.
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Affiliation(s)
- Vinesh Appadurai
- Department of Cardiology, The Prince Charles Hospital, Queensland, Australia.,School of Medicine, The University of Queensland, Queensland, Australia
| | - Gregory M Scalia
- Department of Cardiology, The Prince Charles Hospital, Queensland, Australia.,School of Medicine, The University of Queensland, Queensland, Australia
| | - Katherine Lau
- Department of Cardiology, The Prince Charles Hospital, Queensland, Australia.,School of Medicine, The University of Queensland, Queensland, Australia
| | - Robert Chamberlain
- Department of Cardiology, The Prince Charles Hospital, Queensland, Australia.,School of Medicine, Griffith University, Queensland, Australia
| | - Natalie Edwards
- Department of Cardiology, The Prince Charles Hospital, Queensland, Australia.,School of Medicine, Griffith University, Queensland, Australia
| | - Hannah Bushell
- Department of Cardiology, The Prince Charles Hospital, Queensland, Australia
| | - William Scalia
- Department of Cardiology, The Prince Charles Hospital, Queensland, Australia.,School of Medicine, The University of Queensland, Queensland, Australia
| | - Stephen Tomlinson
- Department of Cardiology, The Prince Charles Hospital, Queensland, Australia.,School of Medicine, Griffith University, Queensland, Australia
| | - Christian Hamilton-Craig
- Department of Cardiology, The Prince Charles Hospital, Queensland, Australia.,School of Medicine, The University of Queensland, Queensland, Australia.,School of Medicine, Griffith University, Queensland, Australia
| | - Jonathan Chan
- Department of Cardiology, The Prince Charles Hospital, Queensland, Australia.,School of Medicine, Griffith University, Queensland, Australia
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26
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Overhoff D, Ansari U, Hohneck A, Tülümen E, Rudic B, Kuschyk J, Lossnitzer D, Baumann S, Froelich MF, Waldeck S, Akin I, Borggrefe M, Schoenberg SO, Papavassiliu T. Prediction of cardiac events with non-contrast magnetic resonance feature tracking in patients with ischaemic cardiomyopathy. ESC Heart Fail 2021; 9:574-584. [PMID: 34818694 PMCID: PMC8788051 DOI: 10.1002/ehf2.13712] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 09/24/2021] [Accepted: 10/31/2021] [Indexed: 11/23/2022] Open
Abstract
Aims The aim of this study was to evaluate the prognostic value of feature tracking (FT) derived cardiac magnetic resonance (CMR) strain parameters of the left ventricle (LV)/right ventricle (RV) in ischaemic cardiomyopathy (ICM) patients treated with an implantable cardioverter‐defibrillator (ICD). Current guidelines suggest a LV‐ejection fraction ≤35% as major criterion for ICD implantation in ICM, but this is a poor predictor for arrhythmic events. Supplementary parameters are missing. Methods and results Ischaemic cardiomyopathy patients (n = 242), who underwent CMR imaging prior to primary and secondary implantation of ICD, were classified depending on EF ≤ 35% (n = 188) or >35% (n = 54). FT parameters were derived from steady‐state free precession cine views using dedicated software. The primary endpoint was a composite of cardiovascular mortality (CVM) and/or appropriate ICD therapy. There were no significant differences in FT‐function or LV‐/RV‐function parameters in patients with an EF ≤ 35% correlating to the primary endpoint. In patients with EF > 35%, standard CMR functional parameters, such as LV‐EF, did not reveal significant differences. However, significant differences in most FT parameters correlating to the primary endpoint were observed in this subgroup. LV‐GLS (left ventricular‐global longitudinal strain) and RV‐GRS (right ventricular‐global radial strain) revealed the best diagnostic performance in ROC curve analysis. The combination of LV‐GLS and RV‐GRS showed a sensitivity of 85% and a specificity of 76% for the prediction of future events. Conclusions The impact of FT derived measurements in the risk stratification of patients with ICM depends on LV function. The combination of LV‐GLS/RV‐GRS seems to be a predictor of cardiovascular mortality and/or appropriate ICD therapy in patients with EF > 35%.
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Affiliation(s)
- Daniel Overhoff
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.,Department of Radiology and Neuroradiology, German Federal Armed Forces Central Hospital, Koblenz, Germany
| | - Uzair Ansari
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany.,DZHK (German Centre for Cardiovascular Research) partner site Mannheim, Mannheim, Germany
| | - Anna Hohneck
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany.,DZHK (German Centre for Cardiovascular Research) partner site Mannheim, Mannheim, Germany
| | - Erol Tülümen
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany
| | - Boris Rudic
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany
| | - Jürgen Kuschyk
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany
| | - Dirk Lossnitzer
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany.,DZHK (German Centre for Cardiovascular Research) partner site Mannheim, Mannheim, Germany
| | - Stefan Baumann
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany.,DZHK (German Centre for Cardiovascular Research) partner site Mannheim, Mannheim, Germany
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
| | - Stephan Waldeck
- Department of Radiology and Neuroradiology, German Federal Armed Forces Central Hospital, Koblenz, Germany
| | - Ibrahim Akin
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany.,DZHK (German Centre for Cardiovascular Research) partner site Mannheim, Mannheim, Germany
| | - Martin Borggrefe
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany.,DZHK (German Centre for Cardiovascular Research) partner site Mannheim, Mannheim, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
| | - Theano Papavassiliu
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany.,DZHK (German Centre for Cardiovascular Research) partner site Mannheim, Mannheim, Germany
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27
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Edvardsen T, Asch FM, Davidson B, Delgado V, DeMaria A, Dilsizian V, Gaemperli O, Garcia MJ, Kamp O, Lee DC, Neglia D, Neskovic AN, Pellikka PA, Plein S, Sechtem U, Shea E, Sicari R, Villines TC, Lindner JR, Popescu BA. Non-invasive Imaging in Coronary Syndromes - Recommendations of the European Association of Cardiovascular Imaging and the American Society of Echocardiography, in Collaboration with the American Society of Nuclear Cardiology, Society of Cardiovascular Computed Tomography and Society for Cardiovascular Magnetic Resonance. Eur Heart J Cardiovasc Imaging 2021; 23:e6-e33. [PMID: 34751391 DOI: 10.1093/ehjci/jeab244] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 11/08/2021] [Indexed: 11/14/2022] Open
Abstract
Coronary artery disease (CAD) is one of the major causes of mortality and morbidity worldwide, with a high socioeconomic impact.(1) Non-invasive imaging modalities play a fundamental role in the evaluation and management of patients with known or suspected CAD. Imaging end-points have served as surrogate markers in many observational studies and randomized clinical trials that evaluated the benefits of specific therapies for CAD.(2) A number of guidelines and recommendations have been published about coronary syndromes by cardiology societies and associations, but have not focused on the excellent opportunities with cardiac imaging. The recent European Society of Cardiology (ESC) 2019 guideline on chronic coronary syndromes (CCS) and 2020 guideline on acute coronary syndromes in patients presenting with non-ST-segment elevation (NSTE-ACS) highlight the importance of non-invasive imaging in the diagnosis, treatment, and risk assessment of the disease.(3)(4) The purpose of the current recommendations is to present the significant role of non-invasive imaging in coronary syndromes in more detail. These recommendations have been developed by the European Association of Cardiovascular Imaging (EACVI) and the American Society of Echocardiography (ASE), in collaboration with the American Society of Nuclear Cardiology, the Society of Cardiovascular Computed Tomography, and the Society for Cardiovascular Magnetic Resonance, all of which have approved the final document.
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Affiliation(s)
- Thor Edvardsen
- Dept of Cardiology, Oslo University Hospital, Rikshospitalet, Oslo Norway, and University of Oslo, Norway
| | - Federico M Asch
- MedStar Health Research Institute, Georgetown University, Washington, DC, . USA
| | - Brian Davidson
- Knight Cardiovascular Institute, Oregon Health & Science University; VA Portland Health Care System, Portland, OR, USA
| | - Victoria Delgado
- Department of Cardiology, Leiden University Medical Centre, 2300RC, Leiden, The Netherlands
| | | | - Vasken Dilsizian
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, USA
| | | | - Mario J Garcia
- Division of Cardiology, Montefiore-Einstein Center for Heart and Vascular Care, 111 East 210th Street, Bronx, New York, 10467, USA
| | - Otto Kamp
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, The Netherlands
| | - Daniel C Lee
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Danilo Neglia
- Department of Cardiology, Fondazione Toscana G. Monastrerio, Pisa, Italy
| | - Aleksandar N Neskovic
- Dept of Cardiology, Clinical Hospital Zemun, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Patricia A Pellikka
- Division of Cardiovascular Ultrasound, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Sven Plein
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Udo Sechtem
- Cardiologicum Stuttgart and Department of Cardiology, Robert Bosch Krankenhaus, Stuttgart, Germany
| | - Elaine Shea
- Alta Bates Summit Medical Center, Berkeley and Oakland, California, ., USA
| | - Rosa Sicari
- CNR, Institute of Clinical Physiology, Pisa and Milan, Italy
| | - Todd C Villines
- Division of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, VA, USA
| | - Jonathan R Lindner
- Knight Cardiovascular Institute and Oregon National Primate Research Center, Oregon Health & Science University, Portland, OR, USA
| | - Bogdan A Popescu
- Department of Cardiology, University of Medicine and Pharmacy "Carol Davila" - Euroecolab, Emergency Institute for Cardiovascular Diseases "Prof. Dr. C. C. Iliescu", Bucharest, Romania
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28
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Tan NS, Deva DP, Connelly KA, Angaran P, Mangat I, Jimenez-Juan L, Ng MY, Ahmad K, Kotha VK, Lima JAC, Crean AM, Dorian P, Yan AT. Myocardial strain assessment using cardiovascular magnetic resonance imaging in recipients of implantable cardioverter defibrillators. J Cardiovasc Magn Reson 2021; 23:115. [PMID: 34670574 PMCID: PMC8529844 DOI: 10.1186/s12968-021-00806-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 08/16/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Cardiovascular magnetic resonance (CMR) is increasingly used in the evaluation of patients who are potential candidates for implantable cardioverter-defibrillator (ICD) therapy to assess left ventricular (LV) ejection fraction (LVEF), myocardial fibrosis, and etiology of cardiomyopathy. It is unclear whether CMR-derived strain measurements are predictive of appropriate shocks and death among patients who receive an ICD. We evaluated the prognostic value of LV strain parameters on feature-tracking (FT) CMR in patients who underwent subsequent ICD implant for primary or secondary prevention of sudden cardiac death. METHODS Consecutive patients from 2 Canadian tertiary care hospitals who underwent ICD implant and had a pre-implant CMR scan were included. Using FT-CMR, a single, blinded, reader measured LV global longitudinal (GLS), circumferential (GCS), and radial (GRS) strain. Cox proportional hazards regression was performed to assess the associations between strain measurements and the primary composite endpoint of all-cause death or appropriate ICD shock that was independently ascertained. RESULTS Of 364 patients (mean 61 years, mean LVEF 32%), 64(17.6%) died and 118(32.4%) reached the primary endpoint over a median follow-up of 62 months. Univariate analyses showed significant associations between GLS, GCS, and GRS and appropriate ICD shocks or death (all p < 0.01). In multivariable Cox models incorporating LVEF, GLS remained an independent predictor of both the primary endpoint (HR 1.05 per 1% higher GLS, 95% CI 1.01-1.09, p = 0.010) and death alone (HR 1.06 per 1% higher GLS, 95% CI 1.02-1.11, p = 0.003). There was no significant interaction between GLS and indication for ICD implant, presence of ischemic heart disease or late gadolinium enhancement (all p > 0.30). CONCLUSIONS GLS by FT-CMR is an independent predictor of appropriate shocks or mortality in ICD patients, beyond conventional prognosticators including LVEF. Further study is needed to elucidate the role of LV strain analysis to refine risk stratification in routine assessment of ICD treatment benefit.
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Affiliation(s)
- Nigel S Tan
- Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | - Djeven P Deva
- Department of Medical Imaging, St. Michael's Hospital and Keenan Research Centre, Li Ka Shing Knowledge Institute, University of Toronto, Toronto, Canada
| | - Kim A Connelly
- Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | - Paul Angaran
- Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | - Iqwal Mangat
- Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | - Laura Jimenez-Juan
- Department of Medical Imaging, St. Michael's Hospital and Keenan Research Centre, Li Ka Shing Knowledge Institute, University of Toronto, Toronto, Canada
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Ming-Yen Ng
- Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, China
| | - Kamran Ahmad
- Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | | | - Joao A C Lima
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD, USA
| | | | - Paul Dorian
- Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | - Andrew T Yan
- Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
- Department of Medical Imaging, St. Michael's Hospital and Keenan Research Centre, Li Ka Shing Knowledge Institute, University of Toronto, Toronto, Canada.
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Carluccio E, Biagioli P, Mengoni A, Zuchi C, Lauciello R, Jacoangeli F, Bardelli G, Oliva V, Ambrosio G. Burden of Ventricular Arrhythmias in Cardiac Resynchronization Therapy Defibrillation and Implantable Cardioverter-Defibrillator Recipients with Recovered Left Ventricular Ejection Fraction: The Additive Role of Speckle-Tracking Echocardiography. J Am Soc Echocardiogr 2021; 35:355-365. [PMID: 34563638 DOI: 10.1016/j.echo.2021.09.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 09/01/2021] [Accepted: 09/14/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND Patients with heart failure undergoing cardiac resynchronization therapy with or without defibrillator function may exhibit recovery of left ventricular ejection fraction (LVEF) during follow-up. Mechanical dispersion (MD; the SD of time to peak longitudinal strain by two-dimensional speckle-tracking echocardiography) is a known predictor of life-threatening ventricular arrhythmias (VAs). Relationships among LVEF recovery, changes in MD, and incidence of VA are still not extensively investigated. METHODS In this retrospective study, recipients of cardiac resynchronization therapy defibrillation (n = 183) or implantable cardioverter-defibrillators only (n = 87) underwent conventional and speckle-tracking echocardiography, both at baseline and after 10 to 12 months, and were followed clinically. Both a ≥10% increase in LVEF and a final LVEF > 35% defined echocardiographic response (EchoResp). Reduction in MD ≥10 msec defined MD response (MDResp). Risk for appropriate implantable cardioverter-defibrillator therapy for VAs was assessed using a multivariable Cox hazard model. RESULTS The prevalence of EchoResp+ and MDResp+ was 39% and 46%, respectively. During follow-up (49.8 ± 33.5 months), 74 VA events occurred. The incidence rate (per 100 patient-years) of VAs was lowest in the EchoResp+/MDResp+ group (1.66%; 95% CI, 0.69%-3.99%), highest in the EchoResp-/MDResp- group (12.8%; 95% CI, 9.53%-17.2%; P < .0001), and intermediate in the EchoResp-/MDResp+ (5.5%; 95% CI, 3.3%-9.4%) or EchoResp+/MDResp- (5.3%; 95% CI, 3.0%-9.4%) group. Multivariable analysis showed that higher MD at follow-up (>71.4 msec) was associated with VAs independent of whether final LVEF was below or above the guideline-reported cutoff of 35% (P < .05). CONCLUSIONS Among ICD recipients, improvements in both left ventricular function and MD are associated with reduced risk for VAs. In patients whose follow-up LVEFs improved to >35%, risk for VAs, although substantially decreased, remained elevated in the presence of still elevated MD.
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Affiliation(s)
- Erberto Carluccio
- Cardiology and Cardiovascular Pathophysiology, University of Perugia, Perugia, Italy.
| | - Paolo Biagioli
- Cardiology and Cardiovascular Pathophysiology, University of Perugia, Perugia, Italy
| | - Anna Mengoni
- Cardiology and Cardiovascular Pathophysiology, University of Perugia, Perugia, Italy
| | - Cinzia Zuchi
- Cardiology and Cardiovascular Pathophysiology, University of Perugia, Perugia, Italy
| | - Rosanna Lauciello
- Cardiology and Cardiovascular Pathophysiology, University of Perugia, Perugia, Italy
| | - Francesca Jacoangeli
- Cardiology and Cardiovascular Pathophysiology, University of Perugia, Perugia, Italy
| | - Giuliana Bardelli
- Cardiology and Cardiovascular Pathophysiology, University of Perugia, Perugia, Italy
| | - Viviana Oliva
- Cardiology and Cardiovascular Pathophysiology, University of Perugia, Perugia, Italy
| | - Giuseppe Ambrosio
- Cardiology and Cardiovascular Pathophysiology, University of Perugia, Perugia, Italy; CERICLET - Interdepartmental Center for Clinical and Translational Research, University of Perugia, Perugia, Italy
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30
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Taha K, Verstraelen TE, de Brouwer R, de Bruin-Bon RHACM, Cramer MJ, Te Rijdt WP, Bouma BJ, de Boer RA, Doevendans PA, Asselbergs FW, Wilde AAM, van den Berg MP, Teske AJ. Optimal echocardiographic assessment of myocardial dysfunction for arrhythmic risk stratification in phospholamban mutation carriers. Eur Heart J Cardiovasc Imaging 2021; 23:1492-1501. [PMID: 34516619 PMCID: PMC9584619 DOI: 10.1093/ehjci/jeab178] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 08/18/2021] [Indexed: 11/21/2022] Open
Abstract
Aims Phospholamban (PLN) p.Arg14del mutation carriers are at risk of developing malignant ventricular arrhythmias (VAs) and/or heart failure. Currently, left ventricular ejection fraction (LVEF) plays an important role in risk assessment for VA in these individuals. We aimed to study the incremental prognostic value of left ventricular mechanical dispersion (LVMD) by echocardiographic deformation imaging for prediction of sustained VA in PLN p.Arg14del mutation carriers. Methods and results We included 243 PLN p.Arg14del mutation carriers, which were classified into three groups according to the ‘45/45’ rule: (i) normal left ventricular (LV) function, defined as preserved LVEF ≥45% with normal LVMD ≤45 ms (n = 139), (ii) mechanical LV dysfunction, defined as preserved LVEF ≥45% with abnormal LVMD >45 ms (n = 63), and (iii) overt LV dysfunction, defined as reduced LVEF <45% (n = 41). During a median follow-up of 3.3 (interquartile range 1.8–6.0) years, sustained VA occurred in 35 individuals. The negative predictive value of having normal LV function at baseline was 99% [95% confidence interval (CI): 92–100%] for developing sustained VA. The positive predictive value of mechanical LV dysfunction was 20% (95% CI: 15–27%). Mechanical LV dysfunction was an independent predictor of sustained VA in multivariable analysis [hazard ratio adjusted for VA history: 20.48 (95% CI: 2.57–162.84)]. Conclusion LVMD has incremental prognostic value on top of LVEF in PLN p.Arg14del mutation carriers, particularly in those with preserved LVEF. The ‘45/45’ rule is a practical approach to echocardiographic risk stratification in this challenging group of patients. This approach may also have added value in other diseases where LVEF deterioration is a relative late marker of myocardial dysfunction.
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Affiliation(s)
- Karim Taha
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.,Netherlands Heart Institute, Utrecht, The Netherlands
| | - Tom E Verstraelen
- Heart Center, Department of Cardiology, Amsterdam University Medical Center, Location Academic Medical Center, Amsterdam, The Netherlands
| | - Remco de Brouwer
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Rianne H A C M de Bruin-Bon
- Heart Center, Department of Cardiology, Amsterdam University Medical Center, Location Academic Medical Center, Amsterdam, The Netherlands
| | - Maarten J Cramer
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Wouter P Te Rijdt
- Netherlands Heart Institute, Utrecht, The Netherlands.,Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Berto J Bouma
- Heart Center, Department of Cardiology, Amsterdam University Medical Center, Location Academic Medical Center, Amsterdam, The Netherlands
| | - Rudolf A de Boer
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Pieter A Doevendans
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.,Netherlands Heart Institute, Utrecht, The Netherlands.,Central Military Hospital, Utrecht, The Netherlands
| | - Folkert W Asselbergs
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.,Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK.,Health Data Research UK and Institute of Health Informatics, University College London, London, UK
| | - Arthur A M Wilde
- Heart Center, Department of Cardiology, Amsterdam University Medical Center, Location Academic Medical Center, Amsterdam, The Netherlands
| | - Maarten P van den Berg
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Arco J Teske
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
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31
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Trivedi SJ, Campbell T, Stefani LD, Thomas L, Kumar S. Strain by speckle tracking echocardiography correlates with electroanatomic scar location and burden in ischaemic cardiomyopathy. Eur Heart J Cardiovasc Imaging 2021; 22:855-865. [PMID: 33585879 DOI: 10.1093/ehjci/jeab021] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/03/2021] [Indexed: 11/13/2022] Open
Abstract
AIMS Ventricular tachycardia (VT) in ischaemic cardiomyopathy (ICM) originates from scar, identified as low-voltage areas with invasive high-density electroanatomic mapping (EAM). Abnormal myocardial deformation on speckle tracking strain echocardiography can non-invasively identify scar. We examined if regional and global longitudinal strain (GLS) can localize and quantify low-voltage scar identified with high-density EAM. METHODS AND RESULTS We recruited 60 patients, 40 ICM patients undergoing VT ablation and 20 patients undergoing ablation for other arrhythmias as controls. All patients underwent an echocardiogram prior to high-density left ventricular (LV) EAM. Endocardial bipolar and unipolar scar location and percentage were correlated with regional and multilayer GLS. Controls had normal GLS and normal bipolar and unipolar voltages. There was a strong correlation between endocardial and mid-myocardial longitudinal strain and endocardial bipolar scar percentage for all 17 LV segments (r = 0.76-0.87, P < 0.001) in ICM patients. Additionally, indices of myocardial contraction heterogeneity, myocardial dispersion (MD), and delta contraction duration (DCD) correlated with bipolar scar percentage. Endocardial and mid-myocardial GLS correlated with total LV bipolar scar percentage (r = 0.83; 0.82, P < 0.001 respectively), whereas epicardial GLS correlated with epicardial bipolar scar percentage (r = 0.78, P < 0.001). Endocardial GLS -9.3% or worse had 93% sensitivity and 82% specificity for predicting endocardial bipolar scar >46% of LV surface area. CONCLUSIONS Multilayer strain analysis demonstrated good linear correlations with low-voltage scar by invasive EAM. Validation studies are needed to establish the utility of strain as a non-invasive tool for quantifying scar location and burden, thereby facilitating mapping and ablation of VT.
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Affiliation(s)
- Siddharth J Trivedi
- Department of Cardiology, Westmead Hospital, Hawkesbury Road, Westmead, NSW 2145, Australia.,Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Westmead Hospital, Hawkesbury Road, Westmead, NSW 2145, Australia
| | - Timothy Campbell
- Department of Cardiology, Westmead Hospital, Hawkesbury Road, Westmead, NSW 2145, Australia.,Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Westmead Hospital, Westmead, NSW 2145, Australia
| | - Luke D Stefani
- Department of Cardiology, Westmead Hospital, Hawkesbury Road, Westmead, NSW 2145, Australia
| | - Liza Thomas
- Department of Cardiology, Westmead Hospital, Hawkesbury Road, Westmead, NSW 2145, Australia.,Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Westmead Hospital, Hawkesbury Road, Westmead, NSW 2145, Australia.,South Western Sydney Clinical School, Faculty of Medicine, University of New South Wales, Liverpool Hospital, Elizabeth Street, Liverpool, NSW 2170, Australia
| | - Saurabh Kumar
- Department of Cardiology, Westmead Hospital, Hawkesbury Road, Westmead, NSW 2145, Australia.,Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Westmead Hospital, Hawkesbury Road, Westmead, NSW 2145, Australia.,Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Westmead Hospital, Westmead, NSW 2145, Australia
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Melichova D, Nguyen TM, Salte IM, Klaeboe LG, Sjøli B, Karlsen S, Dahlslett T, Leren IS, Edvardsen T, Brunvand H, Haugaa KH. Strain echocardiography improves prediction of arrhythmic events in ischemic and non-ischemic dilated cardiomyopathy. Int J Cardiol 2021; 342:56-62. [PMID: 34324947 DOI: 10.1016/j.ijcard.2021.07.044] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 07/18/2021] [Accepted: 07/21/2021] [Indexed: 12/29/2022]
Abstract
BACKGROUND Recent evidence suggests that an implantable cardioverter defibrillator (ICD) in non-ischemic cardiomyopathy (NICM) may not offer mortality benefit. We aimed to investigate if etiology of heart failure and strain echocardiography can improve risk stratification of life threatening ventricular arrhythmia (VA) in heart failure patients. METHODS This prospective multi-center follow-up study consecutively included NICM and ischemic cardiomyopathy (ICM) patients with left ventricular ejection fraction (LVEF) <40%. We assessed LVEF, global longitudinal strain (GLS) and mechanical dispersion (MD) by echocardiography. Ventricular arrhythmia was defined as sustained ventricular tachycardia, sudden cardiac death or appropriate shock from an ICD. RESULTS We included 290 patients (67 ± 13 years old, 74% males, 207(71%) ICM). During 22 ± 12 months follow up, VA occurred in 32(11%) patients. MD and GLS were both markers of VA in patients with ICM and NICM, whereas LVEF was not (p = 0.14). MD independently predicted VA (HR: 1.19; 95% CI 1.08-1.32, p = 0.001), with excellent arrhythmia free survival in patients with MD <70 ms (Log rank p < 0.001). Patients with NICM and MD <70 ms had the lowest VA incidence with an event rate of 3%/year, while patients with ICM and MD >70 ms had highest VA incidence with an event rate of 16%/year. CONCLUSION Patients with NICM and normal MD had low arrhythmic event rate, comparable to the general population. Patients with ICM and MD >70 ms had the highest risk of VA. Combining heart failure etiology and strain echocardiography may classify heart failure patients in low, intermediate and high risk of VA and thereby aid ICD decision strategies.
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Affiliation(s)
- Daniela Melichova
- Department of Medicine, Sorlandet Hospital Arendal, Norway; ProCardio Center for Innovation, Oslo University Hospital, Rikshospitalet, Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Thuy M Nguyen
- Department of Medicine, Sorlandet Hospital Arendal, Norway; ProCardio Center for Innovation, Oslo University Hospital, Rikshospitalet, Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Ivar M Salte
- Department of Medicine, Sorlandet Hospital Arendal, Norway; ProCardio Center for Innovation, Oslo University Hospital, Rikshospitalet, Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Lars Gunnar Klaeboe
- ProCardio Center for Innovation, Oslo University Hospital, Rikshospitalet, Oslo, Norway; Department of Cardiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Benthe Sjøli
- Department of Medicine, Sorlandet Hospital Arendal, Norway
| | - Sigve Karlsen
- Department of Medicine, Sorlandet Hospital Arendal, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Thomas Dahlslett
- Department of Medicine, Sorlandet Hospital Arendal, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Ida S Leren
- ProCardio Center for Innovation, Oslo University Hospital, Rikshospitalet, Oslo, Norway; Department of Medicine, Diakonhjemmet Hospital, Oslo, Norway
| | - Thor Edvardsen
- ProCardio Center for Innovation, Oslo University Hospital, Rikshospitalet, Oslo, Norway; Department of Cardiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Harald Brunvand
- Department of Medicine, Sorlandet Hospital Arendal, Norway; ProCardio Center for Innovation, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Kristina H Haugaa
- ProCardio Center for Innovation, Oslo University Hospital, Rikshospitalet, Oslo, Norway; Department of Cardiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
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33
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Çöllüoğlu T, Önalan O, Çakan F. The diagnostic value of 2D-speckle tracking echocardiography for identifying subclinical ventricular dysfunction in subjects with early repolarization pattern. Echocardiography 2021; 38:1141-1148. [PMID: 34114242 DOI: 10.1111/echo.15128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 05/07/2021] [Accepted: 05/20/2021] [Indexed: 11/29/2022] Open
Abstract
INTRODUCTION Early repolarization pattern (ERP) can exist a silent substrate for arrhytmic events in accordance with the previous studies which have shown there has been evidence of morphological changes in left ventricle (LV) in ERP subjects. Despite structural changes in ERP subjects, it has not exactly known whether a change in LV functional parameters occur in ERP. The aim of our study was to investigate LV functional parameters in ERP athletes evaluated by 2D- speckle tracking echocardiography (2D-STE). METHOD In this study, athletes with ERP (n = 50) and athletes without ERP (n = 50) were recruited between April 2018 and September 2018. For each case, 2D- TTE and 2D- STE evaluation were performed by the same cardiologist. RESULTS Left ventricle mean global longitudinal strain (GLS) (P < .001) and GLS at all apical chamber views (P < .001), longitudinal peak systolic strain rate (SRS) at A3C (P: .011), early diastolic strain rate (SRE) at A3C (P < .001) and late diastolic strain rate (SRA) at A3C (P: .034) in the ERP athletes were significantly lower than those in the athletes without ERP. LV basal segment circumferential SRS (P: .002) and SRE (P: .006) were significantly lower in ERP athletes compared to athletes without ERP. LV mechanical dispersion was significantly higher in ERP athletes compared to athletes without ERP (P < .001). CONCLUSION Our study suggests ERP can be more associated with impaired LV longitudinal function than circumferential function. In addition, both LV inferolateral region and basal segment can be more affected functionally in ERP athletes.
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Affiliation(s)
- Tuğçe Çöllüoğlu
- Cardiology Department, KBU Educational and Research Hospital, Karabük, Turkey
| | - Orhan Önalan
- Cardiology Department, KBU Educational and Research Hospital, Karabük, Turkey
| | - Fahri Çakan
- Cardiology Department, KBU Educational and Research Hospital, Karabük, Turkey
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34
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Merkx R, Leerink JM, Feijen E(LA, Kremer LC, de Baat EC, Bellersen L, van Dalen EC, van Dulmen‐den Broeder E, van der Heiden‐van der Loo M, van den Heuvel‐Eibrink MM, de Korte CL, Loonen J, Louwerens M, Maas AH, Pinto YM, Ronckers CM, Teske AJ, Tissing WJ, de Vries AC, Mavinkurve‐Groothuis AM, van der Pal HJ, Weijers G, Kok WE, Kapusta L. Echocardiography protocol for early detection of cardiac dysfunction in childhood cancer survivors in the multicenter DCCSS LATER 2 CARD study: Design, feasibility, and reproducibility. Echocardiography 2021; 38:951-963. [PMID: 34013999 PMCID: PMC8251836 DOI: 10.1111/echo.15081] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 04/12/2021] [Accepted: 04/27/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Cardiotoxicity is a well-known side effect after anthracyclines and chest radiotherapy in childhood cancer survivors (CCS). The DCCSS LATER 2 CARD (cardiology) study includes evaluation of echocardiographic measurements for early identification of CCS at highest risk of developing heart failure. This paper describes the design, feasibility, and reproducibility of the echocardiography protocol. METHODS Echocardiograms from CCS and sibling controls were prospectively obtained at the participating centers and centrally analyzed. We describe the image acquisition, measurement protocol, and software-specific considerations for myocardial strain analyses. We report the feasibility of the primary outcomes of systolic and diastolic function, as well as reproducibility analyses in 30 subjects. RESULTS We obtained 1,679 echocardiograms. Biplane ejection fraction (LVEF) measurement was feasible in 91% and 96% of CCS and siblings, respectively, global longitudinal strain (GLS) in 80% and 91%, global circumferential strain (GCS) in 86% and 89%, and ≥2 diastolic function parameters in 99% and 100%, right ventricle free wall strain (RVFWS) in 57% and 65%, and left atrial reservoir strain (LASr) in 72% and 79%. Intra-class correlation coefficients for inter-observer variability were 0.85 for LVEF, 0.76 for GLS, 0.70 for GCS, 0.89 for RVFWS and 0.89 for LASr. Intra-class correlation coefficients for intra-observer variability were 0.87 for LVEF, 0.82 for GLS, 0.82 for GCS, 0.85 for RVFWS and 0.79 for LASr. CONCLUSION The DCCSS LATER 2 CARD study includes a protocolized echocardiogram, with feasible and reproducible primary outcome measurements. This ensures high-quality outcome data for prevalence estimates and for reliable comparison of cardiac function parameters.
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Affiliation(s)
- Remy Merkx
- Department of Medical Imaging/RadiologyMedical UltraSound Imaging CentreRadboud university medical centerNijmegenThe Netherlands
| | - Jan M. Leerink
- Department of Clinical and Experimental CardiologyAmsterdam UMCUniversity of AmsterdamAmsterdamThe Netherlands
| | | | | | - Esmée C. de Baat
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands
| | - Louise Bellersen
- Department of CardiologyRadboud university medical centerNijmegenThe Netherlands
| | | | | | | | | | - Chris L. de Korte
- Department of Medical Imaging/RadiologyMedical UltraSound Imaging CentreRadboud university medical centerNijmegenThe Netherlands
| | - Jacqueline Loonen
- Department of HematologyRadboud university medical centerNijmegenThe Netherlands
| | - Marloes Louwerens
- Department of Internal MedicineLeiden University Medical CenterLeidenThe Netherlands
| | - Angela H.E.M. Maas
- Department of CardiologyRadboud university medical centerNijmegenThe Netherlands
| | - Yigal M. Pinto
- Department of Clinical and Experimental CardiologyAmsterdam UMCUniversity of AmsterdamAmsterdamThe Netherlands
| | | | - Arco J. Teske
- Department of CardiologyUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Wim J.E. Tissing
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands
- Department of Pediatric OncologyBeatrix Children's HospitalUniversity Medical Center GroningenGroningenThe Netherlands
| | | | | | | | - Gert Weijers
- Department of Medical Imaging/RadiologyMedical UltraSound Imaging CentreRadboud university medical centerNijmegenThe Netherlands
| | - Wouter E.M. Kok
- Department of Clinical and Experimental CardiologyAmsterdam UMCUniversity of AmsterdamAmsterdamThe Netherlands
| | - Livia Kapusta
- Department of PediatricsPediatric Cardiology UnitTel Aviv Sourasky Medical CenterSackler School of MedicineTel Aviv UniversityTel AvivIsrael
- Department of Pediatric CardiologyAmalia Children’s HospitalRadboud University Medical CenterNijmegenThe Netherlands
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Ciobanu A, Gheorghe GS, Inţă OM, Zhou J, Zhang Q, Tse G. Mutual Information Reveals Non-linear Relationships between Electrocardiographic Conduction or Repolarization Indices and Mechanical Dispersion by Speckle-Tracking Echocardiography in the General Population. ULTRASOUND IN MEDICINE & BIOLOGY 2021; 47:1408-1420. [PMID: 33622621 DOI: 10.1016/j.ultrasmedbio.2021.01.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 01/18/2021] [Accepted: 01/24/2021] [Indexed: 06/12/2023]
Abstract
Electrical inhomogeneities can lead to regional heterogeneity in left ventricular contraction. We investigated the correlation between electrocardiographic parameters of conduction and/or repolarization and myocardial longitudinal strain-derived parameters in a general population. Mean and dispersion (maximum-minimum) values were calculated for the electrocardiographic indices: QT interval, Tpeak-Tend interval (Tpe), JTpeak interval (JTp), JTend interval (JTe), QTpeak interval (QTp). Mechanical dispersion was assessed using the standard deviation (SD) of time-to-peak longitudinal strains (MDSD) and the difference between the longest time and shortest time to peak strain (MDdelta) by speckle-tracking echocardiography. A total of 59 patients, 60 ± 12 y, were included. Tpe, Tpe/QT, Tpe/JTp and Tpe/JTe correlated well with MDSD and MDdelta (r ≥ 0.43, p < 0.001). Mutual information revealed significant non-linear relationships between most of the electrocardiographic indices measured and mechanical dispersion. In conclusion, there is a moderate linear correlation between electrocardiographic indices reflecting repolarization heterogeneities and speckle tracking-assessed mechanical dispersion.
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Affiliation(s)
- Ana Ciobanu
- Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania; Department of Internal Medicine and Cardiology, Theodor Burghele Clinical Hospital, Bucharest, Romania.
| | - Gabriela Silvia Gheorghe
- Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania; Department of Internal Medicine and Cardiology, Theodor Burghele Clinical Hospital, Bucharest, Romania
| | - Oana Mihaela Inţă
- Department of Internal Medicine and Cardiology, Theodor Burghele Clinical Hospital, Bucharest, Romania
| | - Jiandong Zhou
- School of Data Science, City University of Hong Kong, Hong Kong S.A.R., China
| | - Qingpeng Zhang
- School of Data Science, City University of Hong Kong, Hong Kong S.A.R., China
| | - Gary Tse
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China; Xiamen Cardiovascular Hospital, Xiamen University, Xiamen, China
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36
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Friedberg MK. Peeking Beyond Strain's Peak: Regional Strain Patterns and Dispersion in Arrhythmogenic Right Ventricular Cardiomyopathy. JACC Cardiovasc Imaging 2021; 14:911-914. [PMID: 33582065 DOI: 10.1016/j.jcmg.2021.01.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 01/06/2021] [Indexed: 11/26/2022]
Affiliation(s)
- Mark K Friedberg
- Labatt Family Heart Center, Hospital for Sick Children, Toronto, Ontario, Canada.
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37
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Wooten SV, Moestl S, Chilibeck P, Alvero Cruz JR, Mittag U, Tank J, Tanaka H, Rittweger J, Hoffmann F. Age- and Sex-Differences in Cardiac Characteristics Determined by Echocardiography in Masters Athletes. Front Physiol 2021; 11:630148. [PMID: 33536945 PMCID: PMC7848176 DOI: 10.3389/fphys.2020.630148] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 12/29/2020] [Indexed: 01/20/2023] Open
Abstract
Background Cardiac function and morphology are known to differ between men and women. Sex differences seen with echocardiography have not been studied systematically in masters athletes. Purpose To evaluate sex differences in cardiac structure, function and left ventricular (LV) systolic global longitudinal strain among masters athletes. Methods This cross-sectional study comprises of 163 masters athletes (M = 109, 60 ± 12 years; F = 55, 57 ± 12 years, range 36–91 years) who participated at the 23rd World Masters Athletics Championship held in Málaga, Spain. All athletes underwent state-of-the-art echocardiography including cardiac function, morphology, strain and hemodynamic assessment. Results Left ventricular mass was higher in male than in female athletes (174 ± 44 vs. 141 ± 36 g, p < 0.01) due to greater end-diastolic intraventricular septal, LV posterior wall and LV basal diameter. However, LV mass index did not differ between the groups. End-diastolic LV volume and right ventricular area, both indexed to body-surface-area, were greater in men than in women (52.8 ± 11.0 vs. 46.1 ± 8.5 ml/m2, p < 0.01, 9.5 ± 2.4 vs. 8.1 ± 1.7 cm2/m2, p < 0.01). In contrast, women had higher LV systolic global longitudinal strain (-20.2 ± 2.6 vs. -18.8 ± 2.6%, p < 0.01) and LV outflow tract flow velocity (75.1 ± 11.1 vs. 71.2 ± 11.1 cm/s, p = 0.04). Systolic and diastolic blood pressure, LV ejection fraction, and stroke volume index were not different between sexes. Conclusion Cardiac sex differences are present even among masters athletes. Lifelong exercise training does not appear to exasperate morphological difference to a point of cardiac risk or dysfunction in both male and female athletes.
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Affiliation(s)
- Savannah V Wooten
- Department of Kinesiology and Health Education, The University of Texas at Austin, Austin, TX, United States
| | - Stefan Moestl
- Institute of Aerospace Medicine, German Aerospace Center, University of Cologne, Cologne, Germany
| | - Phil Chilibeck
- Physical Activity Complex, University of Saskatchewan College of Kinesiology, Saskatoon, SK, Canada
| | | | - Uwe Mittag
- Institute of Aerospace Medicine, German Aerospace Center, University of Cologne, Cologne, Germany
| | - Jens Tank
- Institute of Aerospace Medicine, German Aerospace Center, University of Cologne, Cologne, Germany
| | - Hirofumi Tanaka
- Department of Kinesiology and Health Education, The University of Texas at Austin, Austin, TX, United States
| | - Jörn Rittweger
- Institute of Aerospace Medicine, German Aerospace Center, University of Cologne, Cologne, Germany
| | - Fabian Hoffmann
- Institute of Aerospace Medicine, German Aerospace Center, University of Cologne, Cologne, Germany.,Department of Cardiology, University Hospital Cologne, Cologne, Germany
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Edvardsen T, Klæboe LG, Haugaa KH. The infarcted myocardium and mechanical dispersion: another brick in the wall. Eur Heart J Cardiovasc Imaging 2021; 21:1235-1236. [PMID: 32856038 DOI: 10.1093/ehjci/jeaa209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Thor Edvardsen
- Department of Cardiology, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, 0372 Oslo, Norway.,Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Lars Gunnar Klæboe
- Department of Cardiology, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, 0372 Oslo, Norway
| | - Kristina H Haugaa
- Department of Cardiology, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, 0372 Oslo, Norway.,Faculty of Medicine, University of Oslo, Oslo, Norway
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Popa-Fotea NM, Micheu MM, Onciul S, Zamfir D, Dorobanţu M. Combined right and left ventricular mechanical dispersion enhance the arrhythmic risk stratification in hypertrophic cardiomyopathy. J Cardiol 2020; 76:364-370. [PMID: 32507507 DOI: 10.1016/j.jjcc.2020.04.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 03/29/2020] [Accepted: 04/11/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Ventricular arrhythmias are the most frequent cause of sudden cardiac death in individuals with hypertrophic cardiomyopathy (HCM). In the present study we investigated if combined left ventricular (LV) and right ventricular (RV) mechanical dispersion (MD) are correlated with ventricular arrhythmias. We aimed also to analyze if MD enhances the arrhythmic risk stratification in HCM. METHODS The cohort included 47 subjects with HCM and 36 healthy individuals. All the studied population underwent clinical, 24-h electrocardiographic (ECG) monitoring for detection and description of non-sustained ventricular tachycardia (NSVT) in terms of number of events, maximal rate and length and comprehensive transthoracic echocardiography, including strain rate imaging. MD was calculated as standard deviation of time from the peak of R wave on ECG to maximum LV or RV shortening in 17 LV and 3 RV segments. RESULTS HCM subjects with NSVT on ECG monitoring had increased LVMD (81±18ms vs 42±8ms) and RVMD (52±26 vs 25±23ms) compared with the HCM group without NSVT or compared with the healthy controls. On receiver operating characteristic curves the cut-off values associated with optimal specificity and sensitivity were 62ms for LVMD and 39ms for RVMD. LVMD (OR=1.86, 95% CI 1-1.06, p=0.01) and RVMD (OR=1.04, 95% CI 1.01-1.07, p=0.003) were the only independent variables that correlated with longer and faster NSVT and furthermore improved the risk stratification of NSVTs. CONCLUSIONS In a cohort of subjects with HCM, LVMD and RVMD correlates with the presence of NSVT on ECG monitoring. Combined LVMD and RVMD may improve the risk stratification of HCM with NSVT.
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Affiliation(s)
- Nicoleta-Monica Popa-Fotea
- Department of Cardiology, Clinical Emergency Hospital of Bucharest, Bucharest, Romania; University of Medicine and Pharmacy Carol Davila, Bucharest, Romania
| | - Miruna Mihaela Micheu
- Department of Cardiology, Clinical Emergency Hospital of Bucharest, Bucharest, Romania.
| | - Sebastian Onciul
- Department of Cardiology, Clinical Emergency Hospital of Bucharest, Bucharest, Romania; University of Medicine and Pharmacy Carol Davila, Bucharest, Romania
| | - Diana Zamfir
- Department of Cardiology, Clinical Emergency Hospital of Bucharest, Bucharest, Romania
| | - Maria Dorobanţu
- Department of Cardiology, Clinical Emergency Hospital of Bucharest, Bucharest, Romania; University of Medicine and Pharmacy Carol Davila, Bucharest, Romania
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Abou R, Goedemans L, van der Bijl P, Fortuni F, Prihadi EA, Mertens B, Schalij MJ, Ajmone Marsan N, Bax JJ, Delgado V. Correlates and Long-Term Implications of Left Ventricular Mechanical Dispersion by Two-Dimensional Speckle-Tracking Echocardiography in Patients with ST-Segment Elevation Myocardial Infarction. J Am Soc Echocardiogr 2020; 33:964-972. [PMID: 32381361 DOI: 10.1016/j.echo.2020.03.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 03/09/2020] [Accepted: 03/10/2020] [Indexed: 01/10/2023]
Abstract
BACKGROUND Left ventricular (LV) mechanical dispersion (LVMD), measured with speckle-tracking echocardiography (STE) after ST-segment elevation myocardial infarction (STEMI), has been proposed as a measurement of regional heterogeneity of myocardial contraction and may reflect changes in the myocardial structure (e.g., fibrosis or edema). Further insight into this parameter may aid in the risk stratification of STEMI patients. METHODS A total of 1,000 STEMI patients (77% male, 60 ± 12 years) treated with primary percutaneous coronary intervention were retrospectively analyzed. The LVMD was assessed with two-dimensional STE within 48 hours following the index infarction. Patients were followed for the occurrence of all-cause mortality. RESULTS After a median follow-up of 117 months, 229 (23%) patients died. Nonsurvivors showed worse LV ejection fraction (43% ± 10% vs 48% ± 9%; P < .001) and global longitudinal strain (-12.0% ± 3.5% vs -14.2% ± 3.5%; P = .001) and prolonged LVMD (63 [interquartile range, 50-85] msec vs 52 [interquartile range, 42-63] msec; P < .001) compared with survivors. Increasing age, systolic blood pressure, and heart rate at discharge as well as diabetes mellitus, anterior STEMI, TIMI flow < 2, less usage of angiotensin converter enzyme inhibitors or angiotensin receptor blockers, and impaired LV global longitudinal strain were independently associated with more prolonged LVMD. On multivariable analysis, prolonged LVMD was independently associated with increased risk of all-cause mortality (hazard ratio = 1.012; 95% CI, 1.005-1.018; P = .001) and had incremental value for all-cause mortality over clinical and echocardiographic parameters. CONCLUSIONS In contemporary STEMI patients, prolonged LVMD was associated with various clinical and echocardiographic parameters. Prolonged LVMD was associated with worse long-term outcome.
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Affiliation(s)
- Rachid Abou
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Laurien Goedemans
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Pieter van der Bijl
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Federico Fortuni
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Edgard A Prihadi
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Bart Mertens
- Bioinformatics Center of Expertise, Leiden University Medical Center, Leiden, The Netherlands
| | - Martin J Schalij
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Nina Ajmone Marsan
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Victoria Delgado
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
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Klaeboe LG, Brekke PH, Aaberge L, Haugaa K, Edvardsen T. Impact of transcatheter aortic valve implantation on mechanical dispersion. Open Heart 2020; 7:e001199. [PMID: 32153792 PMCID: PMC7046982 DOI: 10.1136/openhrt-2019-001199] [Citation(s) in RCA: 2] [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] [Received: 11/30/2019] [Revised: 01/21/2020] [Accepted: 02/06/2020] [Indexed: 11/04/2022] Open
Abstract
Objectives The physiological determinants of left ventricular (LV) mechanical dispersion (MD) are not fully explored. We aimed to investigate the impact of afterload reduction and changes in ventricular conduction on LV MD after transcatheter aortic valve implantation (TAVI). Methods Patients with severe aortic stenosis (AS) were examined in a prospective, repeated measures observational cohort study before and after an uncomplicated transfemoral TAVI in a single tertiary centre. LV MD was assessed by speckle tracking echocardiography. Valvulo-arterial impedance (ZVA) was used as a measure of global afterload. Results We included 140 consecutive patients (83±8 years old, 49% women, logistic EuroSCORE 16±10) with severe AS (valve area 0.7±0.2 cm2, mean transvalvular gradient 54±18 mm Hg) and a relatively preserved LV ejection fraction (52%±11%). After TAVI, we observed favourable changes in transvalvular gradients and ZVA in all patients. Compared with baseline, postprocedural MD was significantly lower in 108 patients with unchanged ventricular conduction (55±17 ms vs 51±17 ms, p=0.02) and higher in 28 patients with TAVI-induced left bundle branch block (51±13 ms vs 62±19 ms, p≤0.001). During 22±9 months observation, 22 patients died. Postprocedural MD was associated with mortality in a univariate Cox regression model (HR=1.24 (1.01-1.52), p<0.04, per 10 ms increase). Conclusions Isolated afterload reduction was associated with reduction of MD, while concomitant impairment of ventricular conduction resulted in a more pronounced MD after TAVI, indicating that loading conditions and conduction should be considered when evaluating MD. A pronounced postprocedural LV MD was associated with mortality.
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Affiliation(s)
- Lars Gunnar Klaeboe
- Department of Cardiology and Center for Cardiological Innovation, Oslo University Hospital Rikshospitalet, Oslo, Norway.,K.G. Jebsen Center for Cardiac Research, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Pål Haugar Brekke
- Department of Cardiology and Center for Cardiological Innovation, Oslo University Hospital Rikshospitalet, Oslo, Norway
| | - Lars Aaberge
- Department of Cardiology and Center for Cardiological Innovation, Oslo University Hospital Rikshospitalet, Oslo, Norway
| | - Kristina Haugaa
- Department of Cardiology and Center for Cardiological Innovation, Oslo University Hospital Rikshospitalet, Oslo, Norway.,K.G. Jebsen Center for Cardiac Research, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Thor Edvardsen
- Department of Cardiology and Center for Cardiological Innovation, Oslo University Hospital Rikshospitalet, Oslo, Norway.,K.G. Jebsen Center for Cardiac Research, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
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Echocardiographic Prediction of Ventricular Arrhythmias. JACC Cardiovasc Imaging 2020; 13:613-615. [DOI: 10.1016/j.jcmg.2019.07.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 07/29/2019] [Indexed: 11/22/2022]
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Lavall D, Kuprat LK, Kandels J, Stöbe S, Hagendorff A, Laufs U. Left ventricular mechanical dispersion in flow-gradient patterns of severe aortic stenosis with narrow QRS complex. Int J Cardiovasc Imaging 2020; 36:605-614. [PMID: 31933102 PMCID: PMC7125243 DOI: 10.1007/s10554-019-01754-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 12/17/2019] [Indexed: 01/10/2023]
Abstract
Patients with severe aortic stenosis are classified according to flow-gradient patterns. We investigated whether left ventricular (LV) mechanical dispersion, a marker of dyssynchrony and predictor of mortality, is associated with low-flow status in aortic stenosis. 316 consecutive patients with aortic stenosis and QRS duration < 120 ms were included in the retrospective analysis. Patients with severe aortic stenosis (aortic valve area ≤ 1.0 cm2) were classified as normal-flow (NF; stroke volume index > 35 ml/m2) high-gradient (HG; mean transvalvular gradient ≥ 40 mmHg) (n = 79), NF low-gradient (LG) (n = 62), low-flow (LF) LG ejection fraction (EF) ≥ 50% (n = 57), and LF LG EF < 50% (n = 23). Patients with moderate aortic stenosis (aortic valve area 1.5–1.0 cm2; n = 95) served as comparison group. Mechanical dispersion (calculated as standard deviation of time from Q/S onset on electrocardiogram to peak longitudinal strain in 17 left ventricular segments) was similar in patients with NF HG (49.4 ± 14.7 ms), NF LG (43.5 ± 12.9 ms), LF LG EF ≥ 50% (47.2 ± 16.3 ms) and moderate aortic stenosis (44.2 ± 15.7 ms). In patients with LF LG EF < 50%, mechanical dispersion was increased (60.8 ± 20.7 ms, p < 0.05 vs. NF HG, NF LG, LF LG EF ≥ 50% and moderate AS). Mechanical dispersion correlated with global longitudinal strain (r = 0.1354, p = 0.0160) and heart rate (r = 0.1587, p = 0.0047), but not with parameters of aortic stenosis. Mechanical dispersion was similar among flow-gradient subgroups of severe aortic stenosis with preserved LVEF, but increased in patients with low-flow low-gradient and reduced LVEF. These findings indicate that mechanical dispersion is rather a marker of systolic myocardial dysfunction than of aortic stenosis.
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Affiliation(s)
- Daniel Lavall
- Klinik und Poliklinik für Kardiologie, Universitätsklinikum Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany.
| | - Linn Kristin Kuprat
- Klinik und Poliklinik für Kardiologie, Universitätsklinikum Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany
| | - Joscha Kandels
- Klinik und Poliklinik für Kardiologie, Universitätsklinikum Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany
| | - Stephan Stöbe
- Klinik und Poliklinik für Kardiologie, Universitätsklinikum Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany
| | - Andreas Hagendorff
- Klinik und Poliklinik für Kardiologie, Universitätsklinikum Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany
| | - Ulrich Laufs
- Klinik und Poliklinik für Kardiologie, Universitätsklinikum Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany
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Klein AL, Popović ZB, Chetrit M. Disparity of Dispersion in Predicting Ventricular Arrhythmias. JACC Cardiovasc Imaging 2019; 13:573-576. [PMID: 31202760 DOI: 10.1016/j.jcmg.2019.05.002] [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: 04/25/2019] [Revised: 04/29/2019] [Accepted: 05/02/2019] [Indexed: 11/17/2022]
Affiliation(s)
- Allan L Klein
- Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio.
| | - Zoran B Popović
- Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Michael Chetrit
- Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio
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