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Rodríguez-González E, Martínez-Legazpi P, González-Mansilla A, Espinosa MÁ, Mombiela T, Guzmán De-Villoria JA, Borja MG, Díaz-Otero F, Gómez de Antonio R, Fernández-García P, Fernández-Ávila AI, Pascual-Izquierdo C, Del Álamo JC, Bermejo J. Cardiac stasis imaging, stroke, and silent brain infarcts in patients with nonischemic dilated cardiomyopathy. Am J Physiol Heart Circ Physiol 2024; 327:H446-H453. [PMID: 38847759 DOI: 10.1152/ajpheart.00245.2024] [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: 04/18/2024] [Revised: 05/23/2024] [Accepted: 05/31/2024] [Indexed: 07/17/2024]
Abstract
Cardioembolic stroke is one of the most devastating complications of nonischemic dilated cardiomyopathy (NIDCM). However, in clinical trials of primary prevention, the benefits of anticoagulation are hampered by the risk of bleeding. Indices of cardiac blood stasis may account for the risk of stroke and be useful to individualize primary prevention treatments. We performed a cross-sectional study in patients with NIDCM and no history of atrial fibrillation (AF) from two sources: 1) a prospective enrollment of unselected patients with left ventricular (LV) ejection fraction <45% and 2) a retrospective identification of patients with a history of previous cardioembolic neurological event. The primary end point integrated a history of ischemic stroke or the presence intraventricular thrombus, or a silent brain infarction (SBI) by imaging. From echocardiography, we calculated blood flow inside the LV, its residence time (TR) maps, and its derived stasis indices. Of the 89 recruited patients, 18 showed a positive end point, 9 had a history of stroke or transient ischemic attack (TIA) and 9 were diagnosed with SBIs in the brain imaging. Averaged TR, [Formula: see text] performed well to identify the primary end point [AUC (95% CI) = 0.75 (0.61-0.89), P = 0.001]. When accounting only for identifying a history of stroke or TIA, AUC for [Formula: see text] was 0.92 (0.85-1.00) with odds ratio = 7.2 (2.3-22.3) per cycle, P < 0.001. These results suggest that in patients with NIDCM in sinus rhythm, stasis imaging derived from echocardiography may account for the burden of stroke.NEW & NOTEWORTHY Patients with nonischemic dilated cardiomyopathy (NIDCM) are at higher risk of stroke than their age-matched population. However, the risk of bleeding neutralizes the benefit of preventive oral anticoagulation. In this work, we show that in patients in sinus rhythm, the burden of stroke is related to intraventricular stasis metrics derived from echocardiography. Therefore, stasis metrics may be useful to personalize primary prevention anticoagulation in these patients.
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Affiliation(s)
- Elena Rodríguez-González
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Department of Medicine, Facultad de Medicina, Universidad Complutense, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
| | - Pablo Martínez-Legazpi
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
- Department of Mathematical Physics and Fluids, Facultad de Ciencias, Universidad Nacional de Educación a Distancia, Madrid, Spain
| | - Ana González-Mansilla
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Department of Medicine, Facultad de Medicina, Universidad Complutense, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
| | - M Ángeles Espinosa
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Department of Medicine, Facultad de Medicina, Universidad Complutense, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
| | - Teresa Mombiela
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Department of Medicine, Facultad de Medicina, Universidad Complutense, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
| | - Juan A Guzmán De-Villoria
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Department of Radiology, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Maria Guadalupe Borja
- Department of Mechanical and Aerospace Engineering, University of California San Diego, La Jolla, California, United States
| | - Fernando Díaz-Otero
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Department of Neurology, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Rubén Gómez de Antonio
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Department of Hematology, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Pilar Fernández-García
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Ana I Fernández-Ávila
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Department of Medicine, Facultad de Medicina, Universidad Complutense, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
| | - Cristina Pascual-Izquierdo
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Department of Hematology, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Juan C Del Álamo
- Division of Cardiology, Department of Mechanical Engineering, Center for Cardiovascular Biology, University of Washington, Seattle, Washington, United States
| | - Javier Bermejo
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Department of Medicine, Facultad de Medicina, Universidad Complutense, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
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Chen Q, Zhang Z, Chen L, Zhou Z, Lu Y, Zhang C, Li C, Zhang Z, Chen W. Association between cardiac magnetic resonance ventricular strain and left ventricular thrombus in patients with ST-segment elevation myocardial infarction. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2024; 40:1735-1744. [PMID: 38884697 DOI: 10.1007/s10554-024-03163-2] [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: 12/08/2023] [Accepted: 06/11/2024] [Indexed: 06/18/2024]
Abstract
BACKGROUND Myocardial strain can analyze early myocardial dysfunction after myocardial infarction (MI). However, the correlation between left ventricular (LV) strain (including regional and global strain) obtained by cardiac magnetic resonance (CMR) imaging and left ventricular thrombus (LVT) after ST-segment elevation myocardial infarction (STEMI) is unclear. METHODS The retrospective clinical observation study included patients with LVT (n = 20) and non-LVT (n = 195) who underwent CMR within two weeks after STEMI. CMR images were analyzed using CVI 42 (Circle Cardiovascular Imaging, Canada) to obtain LV strain values. Logistic regression analysis identified risk factors for LVT among baseline characteristics, CMR ventricular strain, and left ventricular ejection fraction (LVEF). Considering potential correlations between strains, the ability of LV strain to identify LVT was evaluated using 9 distinct models. Receiver operating characteristic curves were generated with GraphPad Prism, and the area under the curve (AUC) of LVEF, apical longitudinal strain (LS), and circumferential strain (CS) was calculated to determine their capacity to distinguish LVT. RESULTS Among 215 patients, 9.3% developed LVT, with a 14.5% incidence in those with anterior MI. Univariate regression indicated associations of LAD infarct-related artery, lower NT-proBNP, lower LVEF, and reduced global, midventricular, and apical strain with LVT. Further multivariable regression analysis showed that apical LS, LVEF and NT-proBNP were still independently related to LVT (Apical LS: OR = 1.14, 95%CI (1.01, 1.30), P = 0.042; LVEF: OR = 0.91, 95%CI (0.85, 0.97), P = 0.005; NT-proBNP: OR = 2.35, 95%CI (1.04, 5.31) ). CONCLUSION Reduced apical LS on CMR is independently associated with LVT after STEMI.
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Affiliation(s)
- Qing Chen
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Zeqing Zhang
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Lei Chen
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ziyu Zhou
- School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China
| | - Yuan Lu
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Chaoqun Zhang
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Chengzong Li
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Zhuoqi Zhang
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China.
| | - Wensu Chen
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China.
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Sacoransky E, Yu Jia Ke D, Dave P, Alexander B, El Sherbini A, Abunassar J, Abuzeid W. Incidence of left ventricular thrombus following STEMI in the modern era via multimodality imaging: A systematic review and meta-analysis. IJC HEART & VASCULATURE 2024; 52:101396. [PMID: 38584672 PMCID: PMC10992728 DOI: 10.1016/j.ijcha.2024.101396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 03/26/2024] [Indexed: 04/09/2024]
Abstract
Background Left ventricular thrombus (LVT) is a significant complication in STEMI. Previous studies were conducted prior to modern timely percutaneous reperfusion networks. Current expert opinion suggests incidence in the current era has decreased. We conducted a systematic review and meta-analysis to better understand the incidence and diagnosis of LVT in patients with STEMI treated with timely percutaneous techniques as assessed by multimodality imaging. Methods Cochrane, EMBASE, LILACS, and MEDLINE were searched over the last 10 years only including studies using contemporary techniques. The primary outcome was detection of LVT in patients via echocardiogram with or without contrast or Cardiac MRI (cMRI) following STEMI (both anterior and any territory) treated with PCI. Data was pooled across studies and statistical analysis was conducted via random effects model. Results 31 studies were included. 18 studies included data on any territory STEMI, totaling 14,172 patients, and an incidence of 5.6% [95% CI 4.3-7.0]. 18 studies were included in analysis for anterior STEMI, totaling 7382 patients and incidence of 12.7% [95% CI 9.8-15.6]. Relative to cMRI as a gold standard, the sensitivity of non-contrast echocardiography to detect LVT was 58.2% [95% CI 46.6-69.2] with a specificity of 97.8% [95% CI 96.3-98.8]. Conclusions Incidence of LVT in STEMI patients treated with contemporary timely percutaneous revascularization is in keeping with historical data and remains significant, suggesting this remains an ongoing issue for further investigation. Numerically, both cMRI and contrast echo detected more LVT compared to non-contrast echo in any-territory STEMI patients.
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Affiliation(s)
| | - Danny Yu Jia Ke
- School of Medicine, Queen’s University, Kingston, ON, Canada
| | - Prasham Dave
- School of Medicine, Queen’s University, Kingston, ON, Canada
- Division of Cardiology, Kingston Health Sciences Network, Kingston, ON, Canada
| | - Bryce Alexander
- School of Medicine, Queen’s University, Kingston, ON, Canada
- Division of Cardiology, Kingston Health Sciences Network, Kingston, ON, Canada
| | - Adham El Sherbini
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
| | - Joseph Abunassar
- School of Medicine, Queen’s University, Kingston, ON, Canada
- Division of Cardiology, Kingston Health Sciences Network, Kingston, ON, Canada
| | - Wael Abuzeid
- School of Medicine, Queen’s University, Kingston, ON, Canada
- Division of Cardiology, Kingston Health Sciences Network, Kingston, ON, Canada
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Rodríguez-González E, Martínez-Legazpi P, Mombiela T, González-Mansilla A, Delgado-Montero A, Guzmán-De-Villoria JA, Díaz-Otero F, Prieto-Arévalo R, Juárez M, García Del Rey MDC, Fernández-García P, Flores Ó, Postigo A, Yotti R, García-Villalba M, Fernández-Avilés F, Del Álamo JC, Bermejo J. Stasis imaging predicts the risk of cardioembolic events related to acute myocardial infarction: the ISBITAMI study. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2024:S1885-5857(24)00149-X. [PMID: 38729343 PMCID: PMC11543922 DOI: 10.1016/j.rec.2024.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 04/25/2024] [Indexed: 05/12/2024]
Abstract
INTRODUCTION AND OBJECTIVES In the setting of ST-segment elevation myocardial infarction (STEMI), imaging-based biomarkers could be useful for guiding oral anticoagulation to prevent cardioembolism. Our objective was to test the efficacy of intraventricular blood stasis imaging for predicting a composite primary endpoint of cardioembolic risk during the first 6 months after STEMI. METHODS We designed a prospective clinical study, Imaging Silent Brain Infarct in Acute Myocardial Infarction (ISBITAMI), including patients with a first STEMI, an ejection fraction ≤ 45% and without atrial fibrillation to assess the performance of stasis metrics to predict cardioembolism. Patients underwent ultrasound-based stasis imaging at enrollment followed by heart and brain magnetic resonance at 1-week and 6-month visits. From the stasis maps, we calculated the average residence time, RT, of blood inside the left ventricle and assessed its performance to predict the primary endpoint. The longitudinal strain of the 4 apical segments was quantified by speckle tracking. RESULTS A total of 66 patients were assigned to the primary endpoint. Of them, 17 patients had 1 or more events: 3 strokes, 5 silent brain infarctions, and 13 mural thromboses. No systemic embolisms were observed. RT (OR, 3.73; 95%CI, 1.75-7.9; P<.001) and apical strain (OR, 1.47; 95%CI, 1.13-1.92; P=.004) showed complementary prognostic value. The bivariate model showed a c-index=0.86 (95%CI, 0.73-0.95), a negative predictive value of 1.00 (95%CI, 0.94-1.00), and positive predictive value of 0.45 (95%CI, 0.37-0.77). The results were confirmed in a multiple imputation sensitivity analysis. Conventional ultrasound-based metrics were of limited predictive value. CONCLUSIONS In patients with STEMI and left ventricular systolic dysfunction in sinus rhythm, the risk of cardioembolism may be assessed by echocardiography by combining stasis and strain imaging. Registered at ClinicalTrials.gov (NCT02917213).
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Affiliation(s)
- Elena Rodríguez-González
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Pablo Martínez-Legazpi
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain; Departamento de Física Matemática y Fluidos, Facultad de Ciencias, Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain.
| | - Teresa Mombiela
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Ana González-Mansilla
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Antonia Delgado-Montero
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Juan A Guzmán-De-Villoria
- Servicio de Radiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Fernando Díaz-Otero
- Servicio de Neurología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Raquel Prieto-Arévalo
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Miriam Juárez
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - María Del Carmen García Del Rey
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Pilar Fernández-García
- Servicio de Radiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Óscar Flores
- Departamento de Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Leganés, Madrid, Spain
| | - Andrea Postigo
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Raquel Yotti
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | | | - Francisco Fernández-Avilés
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Juan C Del Álamo
- Mechanical Engineering Department, Center for Cardiovascular Biology, Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, United States
| | - Javier Bermejo
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
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5
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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: 1] [Impact Index Per Article: 1.0] [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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6
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Chen X, Pan J, Hu Y, Hu H, Pan Y. Feasibility of one breath-hold cardiovascular magnetic resonance compressed sensing cine for left ventricular strain analysis. Front Cardiovasc Med 2022; 9:903203. [PMID: 36035944 PMCID: PMC9411808 DOI: 10.3389/fcvm.2022.903203] [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: 03/24/2022] [Accepted: 07/25/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveTo investigate the feasibility of 3D left ventricular global and regional strain by using one breath-hold (BH) compressed sensing cine (CSC) protocol and determine the agreement between CSC and conventional cine (CC) protocols.MethodsA total of 30 volunteers were enrolled in this study. Cardiovascular magnetic resonance (CMR) images were acquired using a 1.436 T magnetic resonance imaging (MRI) system. The CSC protocols included one BH CSC and the shortest BH CSC protocols with different parameters and were only performed in short-axis (SA) view following CC protocols. Left ventricular (LV) end-diastole volume (EDV), end-systole volume (ESV), stroke volume (SV), and ejection fraction (EF) global and regional strain were calculated by CC, one BH CSC, and shortest BH CSC protocols. The intraclass correlation coefficient (ICC) and coefficient of variance (CV) of these parameters were used to determine the agreement between different acquisitions.ResultsThe agreement of all volumetric variables and EF between the CC protocol and one BH CSC protocol was excellent (ICC > 0.9). EDV, ESV, and SV between CC and shortest BH CSC protocols also had a remarkable coherence (ICC > 0.9). The agreement of 3D LV global strain assessment between CC protocol and one BH CSC protocol was good (ICC > 0.8). Most CVs of variables were also good (CV < 15%). ICCs of all variables were lower than 0.8. CVs of all parameters were higher than 15% except global longitudinal strain (GLS) between CC and shortest BH CSC protocols. The agreement of regional strain between CC and BH CSC protocols was heterogeneous (-0.2 < ICC < 0.7). Many variables of CVs were poor.ConclusionNotably, one BH CSC protocol can be used for 3D global strain analysis, along with a good correlation with the CC protocol. The regional strain should continue to be computed by the CC protocol due to poor agreement and a remarkable variation between the protocols. The shortest BH CSC protocol was insufficient to replace the CC protocol for 3D global and regional strain.
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Affiliation(s)
- Xiaorong Chen
- Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China
- *Correspondence: Xiaorong Chen,
| | - Jiangfeng Pan
- Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China
- Jiangfeng Pan,
| | - Yi Hu
- Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China
| | - Hongjie Hu
- Sir Run Run Shaw Hospital, Hangzhou, China
| | - Yonghao Pan
- Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China
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7
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Brunetti G, Cardaioli F, De Lazzari M, Cipriani A, Cecere A, Cecchetto A, Baritussio A, Motta R, De Conti G, Corrado D, Tarantini G, Iliceto S, Perazzolo Marra M. Left Ventricular Thrombosis Following Apical Myocardial Infarction: Might Cardiac Magnetic Resonance Strain Analysis Tell Us Something? J Am Heart Assoc 2022; 11:e024704. [PMID: 35470681 PMCID: PMC9238624 DOI: 10.1161/jaha.121.024704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Giulia Brunetti
- Cardiology Unit Department of Cardiac, Thoracic, Vascular Sciences and Public Health University of Padua Medical School Padova Italy
| | - Francesco Cardaioli
- Cardiology Unit Department of Cardiac, Thoracic, Vascular Sciences and Public Health University of Padua Medical School Padova Italy
| | - Manuel De Lazzari
- Cardiology Unit Department of Cardiac, Thoracic, Vascular Sciences and Public Health University of Padua Medical School Padova Italy
| | - Alberto Cipriani
- Cardiology Unit Department of Cardiac, Thoracic, Vascular Sciences and Public Health University of Padua Medical School Padova Italy
| | - Annagrazia Cecere
- Cardiology Unit Department of Cardiac, Thoracic, Vascular Sciences and Public Health University of Padua Medical School Padova Italy
| | - Antonella Cecchetto
- Cardiology Unit Department of Cardiac, Thoracic, Vascular Sciences and Public Health University of Padua Medical School Padova Italy
| | - Anna Baritussio
- Cardiology Unit Department of Cardiac, Thoracic, Vascular Sciences and Public Health University of Padua Medical School Padova Italy
| | - Raffaella Motta
- Radiology Unit Department of Medicine Institute of Radiology University of Padua Italy
| | - Giorgio De Conti
- Radiology Unit Department of Medicine Institute of Radiology University of Padua Italy
| | - Domenico Corrado
- Cardiology Unit Department of Cardiac, Thoracic, Vascular Sciences and Public Health University of Padua Medical School Padova Italy
| | - Giuseppe Tarantini
- Cardiology Unit Department of Cardiac, Thoracic, Vascular Sciences and Public Health University of Padua Medical School Padova Italy
| | - Sabino Iliceto
- Cardiology Unit Department of Cardiac, Thoracic, Vascular Sciences and Public Health University of Padua Medical School Padova Italy
| | - Martina Perazzolo Marra
- Cardiology Unit Department of Cardiac, Thoracic, Vascular Sciences and Public Health University of Padua Medical School Padova Italy
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Association between the E-wave propagation index and left ventricular thrombus formation after ST-elevation myocardial infarction. Int J Cardiol 2020; 326:213-219. [PMID: 33152416 DOI: 10.1016/j.ijcard.2020.10.078] [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: 07/31/2020] [Revised: 10/24/2020] [Accepted: 10/28/2020] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To explore the association between E-wave propagation index (EPI) as a marker of apical washout and the risk of left ventricular thrombus (LVT) formation in patients with ST-elevation myocardial infarction (STEMI). METHODS We performed a post-hoc analysis on 364 prospectively enrolled STEMI patients from a single-center. Non-contrast transthoracic echocardiographic examinations were performed a median of 2 days (IQR:1-3 days) after PCI. The endpoint was LVT formation, identified retrospectively. Univariable and multivariable logistic regression was applied to assess the association between EPI and LVT formation. Multivariable adjustments included LVEF, LAD culprit, prior myocardial infarction, heart rate, and early myocardial relaxation velocity. Area under receiver operating characteristic curves (AUC) was used to assess the diagnostic ability. RESULTS AND CONCLUSIONS Among 364 patients, 31 (8.5%) developed LVT. The mean age was 62 years, 75% were men, and mean LVEF was 46%. Patients developing LVT had increased heart rate, lower LVEF, impaired GLS, and more frequently had prior myocardial infarction. Variables associated with low values of EPI included, among others, LVEF, LV aneurysm, and GLS. EPI and LVT formation were significantly associated in the univariable model (OR = 1.87 (1.53-2.28), p < 0.001), and EPI showed an AUC of 0.90. After multivariable adjustments, EPI and LVT formation remained significantly associated (OR = 1.79 (1.42-2.27), p < 0.001). Patients with an EPI < 1.0 had a 23 times higher likelihood of LVT formation (OR = 23.41 (10.06-54.49), p < 0.001). EPI and LVT formation are strongly associated in patients with STEMI, with low values of EPI indicating a markedly increased probability of LVT formation.
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