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Androshchuk V, Chehab O, Wilcox J, McDonaugh B, Montarello N, Rajani R, Prendergast B, Patterson T, Redwood S. Evolving perspectives on aortic stenosis: the increasing importance of evaluating the right ventricle before aortic valve intervention. Front Cardiovasc Med 2025; 11:1506993. [PMID: 39844905 PMCID: PMC11750849 DOI: 10.3389/fcvm.2024.1506993] [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: 10/06/2024] [Accepted: 12/18/2024] [Indexed: 01/24/2025] Open
Abstract
Aortic stenosis (AS) was historically considered a disease of the left side of the heart, with the main pathophysiological impact being predominantly on the left ventricle (LV). However, progressive pressure overload in AS can initiate a cascade of extra-valvular myocardial remodeling that could also precipitate maladaptive alterations in the structure and function of the right ventricle (RV). The haemodynamic and clinical importance of these changes in patients with AS have been largely underappreciated in the past. Contemporary data indicates that RV dilatation or impairment identifies the AS patients who are at increased risk of adverse clinical outcomes after aortic valve replacement (AVR). It is now increasingly recognised that effective quantitative assessment of the RV plays a key role in delineating the late clinical stage of AS, which could improve patient risk stratification. Despite the increasing emphasis on the pathological significance of RV changes in AS, it remains to be established if earlier detection of these changes can improve the timing for intervention. This review will summarise the features of normal RV physiology and the mechanisms responsible for RV impairment in AS. In addition, we will discuss the multimodality approach to the comprehensive assessment of RV size, function and mechanics in AS patients. Finally, we will review the emerging evidence reinforcing the negative impact of RV dysfunction on clinical outcomes in AS patients treated with AVR.
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Affiliation(s)
- Vitaliy Androshchuk
- School of Cardiovascular Medicine & Sciences, Faculty of Life Sciences & Medicine, King’s College London, London, United Kingdom
| | - Omar Chehab
- School of Cardiovascular Medicine & Sciences, Faculty of Life Sciences & Medicine, King’s College London, London, United Kingdom
| | - Joshua Wilcox
- Cardiovascular Directorate, St Thomas’ Hospital, London, United Kingdom
| | | | | | - Ronak Rajani
- School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences & Medicine, King’s College London, London, United Kingdom
| | - Bernard Prendergast
- Heart, Vascular & Thoracic Institute, Cleveland Clinic London, London, United Kingdom
| | - Tiffany Patterson
- Cardiovascular Directorate, St Thomas’ Hospital, London, United Kingdom
| | - Simon Redwood
- School of Cardiovascular Medicine & Sciences, Faculty of Life Sciences & Medicine, King’s College London, London, United Kingdom
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Phillips K, Galloway A. Commentary: The hidden picture: Mechanistic and imaging insights in complex valvular disease. J Thorac Cardiovasc Surg 2024:S0022-5223(24)01028-6. [PMID: 39522712 DOI: 10.1016/j.jtcvs.2024.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2024] [Accepted: 11/05/2024] [Indexed: 11/16/2024]
Affiliation(s)
| | - Aubrey Galloway
- Department of Cardiothoracic Surgery, NYU Langone Health, New York, NY.
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Puls M, Beuthner BE, Topci R, Jacob CF, Steinhaus KE, Paul N, Beißbarth T, Toischer K, Jacobshagen C, Hasenfuß G. Patients with paradoxical low-flow, low-gradient aortic stenosis gain the least benefit from TAVI among all hemodynamic subtypes. Clin Res Cardiol 2024:10.1007/s00392-024-02482-7. [PMID: 38953944 DOI: 10.1007/s00392-024-02482-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Accepted: 06/17/2024] [Indexed: 07/04/2024]
Abstract
BACKGROUND Substantial controversy exists regarding the clinical benefit of patients with severe paradoxical low-flow, low-gradient aortic stenosis (PLF-LG AS) from TAVI. Therefore, we compared post-TAVI benefit by long-term mortality (all-cause, CV and SCD), clinical improvement of heart failure symptoms, and cardiac reverse remodelling in guideline-defined AS subtypes. METHODS We prospectively included 250 consecutive TAVI patients. TTE, 6mwt, MLHFQ, NYHA status and NT-proBNP were recorded at baseline and 6 months. Long-term mortality and causes of death were assessed. RESULTS 107 individuals suffered from normal EF, high gradient AS (NEF-HG AS), 36 from low EF, high gradient AS (LEF-HG), 52 from "classic" low-flow, low-gradient AS (LEF-LG AS), and 38 from paradoxical low-flow, low-gradient AS (PLF-LG AS). TAVI lead to a significant decrease in MLHFQ score and NT-proBNP levels in all subtypes except for PLF-LG. Regarding reverse remodelling, a significant increase in EF and decrease in LVEDV was present only in subtypes with reduced baseline EF, whereas a significant decrease in LVMI and LAVI could be observed in all subtypes except for PLF-LG. During a follow-up of 3-5 years, PLF-LG patients exhibited the poorest survival among all subtypes (HR 4.2, P = 0.0002 for CV mortality; HR 7.3, P = 0.004 for SCD, in comparison with NEF-HG). Importantly, PLF-LG was independently predictive for CV mortality (HR 2.9 [1.3-6.9], P = 0.009). CONCLUSIONS PLF-LG patients exhibit the highest mortality (particularly CV and SCD), the poorest symptomatic benefit and the least reverse cardiac remodelling after TAVI among all subtypes. Thus, this cohort seems to gain the least benefit.
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Affiliation(s)
- Miriam Puls
- Clinic of Cardiology and Pneumology, University Medical Center Göttingen, 37099, Göttingen, Germany.
| | - Bo Eric Beuthner
- Clinic of Cardiology and Pneumology, University Medical Center Göttingen, 37099, Göttingen, Germany
| | - Rodi Topci
- Clinic of Cardiology and Pneumology, University Medical Center Göttingen, 37099, Göttingen, Germany
| | | | | | - Niels Paul
- Department of Medical Bioinformatics, University Medical Center Göttingen, 37099, Göttingen, Germany
| | - Tim Beißbarth
- Department of Medical Bioinformatics, University Medical Center Göttingen, 37099, Göttingen, Germany
| | - Karl Toischer
- Clinic of Cardiology and Pneumology, University Medical Center Göttingen, 37099, Göttingen, Germany
| | - Claudius Jacobshagen
- Department of Cardiology, Vincentius-Diakonissen Hospital Karlsruhe, 76135, Karlsruhe, Germany
| | - Gerd Hasenfuß
- Clinic of Cardiology and Pneumology, University Medical Center Göttingen, 37099, Göttingen, Germany
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Lo Iacono F, Maragna R, Guglielmo M, Chiesa M, Fusini L, Annoni A, Babbaro M, Baggiano A, Carerj ML, Cilia F, Del Torto A, Formenti A, Mancini ME, Marchetti F, Muratori M, Mushtaq S, Penso M, Pirola S, Tassetti L, Volpe A, Guaricci AI, Fontana M, Tamborini G, Treibel T, Moon J, D A Corino V, Pontone G. Identification of subclinical cardiac amyloidosis in aortic stenosis patients undergoing transaortic valve replacement using radiomic analysis of computed tomography myocardial texture. J Cardiovasc Comput Tomogr 2023; 17:286-288. [PMID: 37130761 DOI: 10.1016/j.jcct.2023.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 04/05/2023] [Accepted: 04/12/2023] [Indexed: 05/04/2023]
Affiliation(s)
- Francesca Lo Iacono
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy
| | - Riccardo Maragna
- Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Marco Guglielmo
- Department of Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Mattia Chiesa
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy; Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Bioinformatics and Artificial Intelligence Facility, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Laura Fusini
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy; Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Andrea Annoni
- Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Mario Babbaro
- Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Andrea Baggiano
- Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Maria Ludovica Carerj
- Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Diagnostic and Interventional Radiology Unit, Department of Biomedical Sciences and Morphological and Functional Imaging, "G. Martino" University Hospital Messina, Messina, Italy
| | - Francesco Cilia
- Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Alberico Del Torto
- Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Alberto Formenti
- Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Maria Elisabetta Mancini
- Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Francesca Marchetti
- Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Manuela Muratori
- Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Saima Mushtaq
- Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Marco Penso
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy; Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Sergio Pirola
- Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Cardiac Surgery, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Luigi Tassetti
- Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Alessandra Volpe
- Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Andrea Igoren Guaricci
- Institute of Cardiovascular Disease, Department of Interdisciplinary Medicine, University Hospital "Policlinico" of Bari, Bari, Italy
| | - Marianna Fontana
- National Amyloidosis Centre, University College London, Royal Free Campus, London, United Kingdom
| | - Gloria Tamborini
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Thomas Treibel
- Institute of Cardiovascular Science, University College London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom
| | - James Moon
- Institute of Cardiovascular Science, University College London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom
| | - Valentina D A Corino
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy; Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Gianluca Pontone
- Department of perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy.
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Lo Iacono F, Maragna R, Pontone G, Corino VDA. A robust radiomic-based machine learning approach to detect cardiac amyloidosis using cardiac computed tomography. FRONTIERS IN RADIOLOGY 2023; 3:1193046. [PMID: 37588665 PMCID: PMC10426499 DOI: 10.3389/fradi.2023.1193046] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 05/26/2023] [Indexed: 08/18/2023]
Abstract
Introduction Cardiac amyloidosis (CA) shares similar clinical and imaging characteristics (e.g., hypertrophic phenotype) with aortic stenosis (AS), but its prognosis is generally worse than severe AS alone. Recent studies suggest that the presence of CA is frequent (1 out of 8 patients) in patients with severe AS. The coexistence of the two diseases complicates the prognosis and therapeutic management of both conditions. Thus, there is an urgent need to standardize and optimize the diagnostic process of CA and AS. The aim of this study is to develop a robust and reliable radiomics-based pipeline to differentiate the two pathologies. Methods Thirty patients were included in the study, equally divided between CA and AS. For each patient, a cardiac computed tomography (CCT) was analyzed by extracting 107 radiomics features from the LV wall. Feature robustness was evaluated by means of geometrical transformations to the ROIs and intra-class correlation coefficient (ICC) computation. Various correlation thresholds (0.80, 0.85, 0.90, 0.95, 1), feature selection methods [p-value, least absolute shrinkage and selection operator (LASSO), semi-supervised LASSO, principal component analysis (PCA), semi-supervised PCA, sequential forwards selection] and machine learning classifiers (k-nearest neighbors, support vector machine, decision tree, logistic regression and gradient boosting) were assessed using a leave-one-out cross-validation. Data augmentation was performed using the synthetic minority oversampling technique. Finally, explainability analysis was performed by using the SHapley Additive exPlanations (SHAP) method. Results Ninety-two radiomic features were selected as robust and used in the further steps. Best performances of classification were obtained using a correlation threshold of 0.95, PCA (keeping 95% of the variance, corresponding to 9 PCs) and support vector machine classifier reaching an accuracy, sensitivity and specificity of 0.93. Four PCs were found to be mainly dependent on textural features, two on first-order statistics and three on shape and size features. Conclusion These preliminary results show that radiomics might be used as non-invasive tool able to differentiate CA from AS using clinical routine available images.
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Affiliation(s)
- Francesca Lo Iacono
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Riccardo Maragna
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Gianluca Pontone
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Valentina D. A. Corino
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
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6
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Shah SM, Shah J, Lakey SM, Garg P, Ripley DP. Pathophysiology, emerging techniques for the assessment and novel treatment of aortic stenosis. Open Heart 2023; 10:e002244. [PMID: 36963766 PMCID: PMC10040005 DOI: 10.1136/openhrt-2022-002244] [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: 12/23/2022] [Accepted: 03/09/2023] [Indexed: 03/26/2023] Open
Abstract
Our perspectives on aortic stenosis (AS) are changing. Evolving from the traditional thought of a passive degenerative disease, developing a greater understanding of the condition's mechanistic underpinning has shifted the paradigm to an active disease process. This advancement from the 'wear and tear' model is a result of the growing economic and health burden of AS, particularly within industrialised countries, prompting further research. The pathophysiology of calcific AS (CAS) is complex, yet can be characterised similarly to that of atherosclerosis. Progressive remodelling involves lipid-protein complexes, with lipoprotein(a) being of particular interest for diagnostics and potential future treatment options.There is an unmet clinical need for asymptomatic patient management; no pharmacotherapies are proven to slow progression and intervention timing varies. Novel approaches are developing to address this through: (1) screening with circulating biomarkers; (2) development of drugs to slow disease progression and (3) early valve intervention guided by medical imaging. Existing biomarkers (troponin and brain natriuretic peptide) are non-specific, but cost-effective predictors of ventricular dysfunction. In addition, their integration with cardiovascular MRI can provide accurate risk stratification, aiding aortic valve replacement decision making. Currently, invasive intervention is the only treatment for AS. In comparison, the development of lipoprotein(a) lowering therapies could provide an alternative; slowing progression of CAS, preventing left ventricular dysfunction and reducing reliance on surgical intervention.The landscape of AS management is rapidly evolving. This review outlines current understanding of the pathophysiology of AS, its management and future perspectives for the condition's assessment and treatment.
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Affiliation(s)
- Syed Muneeb Shah
- School of Medicine, Faculty of Health Sciences and Wellbeing, University of Sunderland, Sunderland, UK
| | - Jay Shah
- School of Medicine, Faculty of Health Sciences and Wellbeing, University of Sunderland, Sunderland, UK
| | - Samuel Mark Lakey
- Department of Cardiology, Northumbria Healthcare NHS Foundation Trust, North Shields, UK
| | - Pankaj Garg
- Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, Norfolk, UK
- Department of Cardiology, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, Norfolk, UK
| | - David Paul Ripley
- School of Medicine, Faculty of Health Sciences and Wellbeing, University of Sunderland, Sunderland, UK
- Department of Cardiology, Northumbria Healthcare NHS Foundation Trust, North Shields, UK
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7
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Abstract
Aortic valve stenosis has become the most common valvular heart disease on account of aging population and increasing life expectancy. Echocardiography is the primary diagnosis tool for this, but it still has many flaws. Therefore, advanced cardiovascular multimodal imaging techniques are continuously being developed in order to overcome these limitations. Cardiac magnetic resonance imaging (CMR) allows a comprehensive morphological and functional evaluation of the aortic valve and provides important data for the diagnosis and risk stratification in patients with aortic stenosis. CMR can functionally assess the aortic flow using two-dimensional and time-resolved three-dimensional velocity-encoded phase-contrast techniques. Furthermore, by late gadolinium enhancement and T1-mapping, CMR can reveal the presence of both irreversible replacement and diffuse interstitial myocardial fibrosis. Moreover, its role in guiding aortic valve replacement procedures is beginning to take shape. Recent studies have rendered the importance of active and passive biomechanics in risk stratification and prognosis prediction in patients with aortic stenosis, but more work is required is just in its infancy, but data are promising. In addition, cardiac computed tomography is particularly useful for the diagnosis of aortic valve stenosis, and in preprocedural evaluation of the aorta, while positron emission tomography can be also used to assess valvular inflammation and active calcification. The purpose of this review is to provide a comprehensive overview of current available data regarding advanced cardiovascular multimodal imaging in aortic stenosis.
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8
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Fleury MA, Clavel MA. Sex and Race Differences in the Pathophysiology, Diagnosis, Treatment, and Outcomes of Valvular Heart Diseases. Can J Cardiol 2021; 37:980-991. [PMID: 33581193 DOI: 10.1016/j.cjca.2021.02.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 01/20/2021] [Accepted: 02/03/2021] [Indexed: 12/22/2022] Open
Abstract
Valvular heart diseases have long been considered to be similar in men and women and across races/ethnicities. Recently, studies have demonstrated major differences between sexes. Unfortunately, studies on valvular heart diseases, as on other cardiovascular diseases, are mostly performed in Caucasian men or in cohorts with a vast majority of Caucasian men. Therefore, our knowledge on valvular diseases in women and non-Caucasians remains limited. Nevertheless, aortic stenosis has been shown to be almost as prevalent in women as in men, and less prevalent in African Americans. Men appear to have a more calcified aortic valve lesion, and women tend to have a more fibrosed one. Primary mitral regurgitation is more frequent in women who have more rheumatic and Barlow etiologies, whereas men have more fibroelastic deficiency and posterior leaflet prolapse/flail. Left ventricular remodelling due to valvular heart diseases is sex related in terms of geometry and probably also in composition of the tissue. Outcomes seem to be worse in women after surgical interventions and better than or equivalent to men after transcatheter ones. Regarding other valvular heart diseases, very few studies are available: Aortic regurgitation is more frequent in men, isolated tricuspid regurgitation more frequent in women. Rheumatic valve diseases are more frequent in women and are mostly represented by mitral and aortic stenoses. Many other sex/gender- and race/ethnic-specific studies are still needed in epidemiology, pathophysiology, presentation, management, and outcomes. This review aims to report the available data on sex differences and race specificities in valvular heart diseases, with a primary focus on aortic stenosis and mitral regurgitation.
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Affiliation(s)
- Marie-Ange Fleury
- Institut Universitaire de Cardiologie et de Pneumologie de Québec/Québec Heart and Lung Institute, Laval University, Québec City, Québec, Canada
| | - Marie-Annick Clavel
- Institut Universitaire de Cardiologie et de Pneumologie de Québec/Québec Heart and Lung Institute, Laval University, Québec City, Québec, Canada.
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9
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Lopez-Candales A, Vallurupalli S. Better Appreciation of the Mechanical Maladaptive Remodeling in Aortic Stenosis: Imaging in Proper Perspective. J Am Soc Echocardiogr 2021; 34:701. [PMID: 33453369 DOI: 10.1016/j.echo.2020.12.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Accepted: 12/26/2020] [Indexed: 11/28/2022]
Affiliation(s)
- Angel Lopez-Candales
- Cardiovascular Medicine Division, Truman Medical Center, University of Missouri-Kansas City, Kansas City, Missouri
| | - Srikanth Vallurupalli
- Division of Cardiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas
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10
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Abstract
Aortic stenosis is a heterogeneous disorder. Variations in the pathological and physiological responses to pressure overload are incompletely understood and generate a range of flow and pressure gradient patterns, which ultimately cause varying microvascular effects. The impact of cardiac-coronary coupling depends on these pressure and flow effects. In this article, we explore important concepts concerning cardiac physiology and the coronary microcirculation in aortic stenosis and their impact on myocardial remodeling, aortic valve flow patterns, and clinical progression.
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Affiliation(s)
- Hannah Z.R. McConkey
- Cardiovascular Division, King’s College London British Heart Foundation Centre of Excellence, The Rayne Institute, St. Thomas’ Hospital Campus, London, United Kingdom (H.Z.R.M., M.M., A.C., S.R.R., B.D.P.)
| | - Michael Marber
- Cardiovascular Division, King’s College London British Heart Foundation Centre of Excellence, The Rayne Institute, St. Thomas’ Hospital Campus, London, United Kingdom (H.Z.R.M., M.M., A.C., S.R.R., B.D.P.)
| | - Amedeo Chiribiri
- Cardiovascular Division, King’s College London British Heart Foundation Centre of Excellence, The Rayne Institute, St. Thomas’ Hospital Campus, London, United Kingdom (H.Z.R.M., M.M., A.C., S.R.R., B.D.P.)
| | - Philippe Pibarot
- Department of Medicine, Institut Universitaire de Cardiologie et de Pneumologie de Québec/Québec Heart and Lung Institute, Laval University, Québec, Canada (P.P.)
| | - Simon R. Redwood
- Cardiovascular Division, King’s College London British Heart Foundation Centre of Excellence, The Rayne Institute, St. Thomas’ Hospital Campus, London, United Kingdom (H.Z.R.M., M.M., A.C., S.R.R., B.D.P.)
| | - Bernard D. Prendergast
- Cardiovascular Division, King’s College London British Heart Foundation Centre of Excellence, The Rayne Institute, St. Thomas’ Hospital Campus, London, United Kingdom (H.Z.R.M., M.M., A.C., S.R.R., B.D.P.)
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11
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Cameli M, Sciaccaluga C, Mandoli GE, D'Ascenzi F, Tsioulpas C, Mondillo S. The role of the left atrial function in the surgical management of aortic and mitral valve disease. Echocardiography 2019; 36:1559-1565. [PMID: 31260141 DOI: 10.1111/echo.14426] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2019] [Revised: 05/06/2019] [Accepted: 06/07/2019] [Indexed: 01/21/2023] Open
Abstract
The right management of both mitral and aortic disease can be challenging, especially in asymptomatic patients. The current guidelines recommend valve repair or replacement when symptoms arise or when there is an evident left ventricular dysfunction. However, deciding the optimal surgical timing can be very difficult, since the line between the absence of symptoms and being minimally symptomatic, especially in the elderly, is blurred. Another relevant issue regards the second surgical criterion: operating on a patient with a reduced left ventricular ejection fraction or with a dilated left ventricle might jeopardize the possibility of a fully reverse remodeling of the heart after surgery. In this scenario, the left atrium might play an important role. In particular, left atrial deformation might be a very useful tool to detect early ultrastructural alterations, and help or support guiding a patient-tailored treatment at an early stage, optimizing the outcome in the long term.
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Affiliation(s)
- Matteo Cameli
- Department of Cardiovascular Disease, University of Siena, Siena, Italy
| | | | - Giulia E Mandoli
- Department of Cardiovascular Disease, University of Siena, Siena, Italy
| | - Flavio D'Ascenzi
- Department of Cardiovascular Disease, University of Siena, Siena, Italy
| | | | - Sergio Mondillo
- Department of Cardiovascular Disease, University of Siena, Siena, Italy
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12
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Jeffrey RR, Hamburger RF, Gooden-Ebanks J, Petersen JW. Speckle Tracking Echocardiography Identifies Impaired Longitudinal Strain as a Common Deficit in Various Cardiac Diseases. CARDIOVASCULAR INNOVATIONS AND APPLICATIONS 2018. [DOI: 10.15212/cvia.2017.0040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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13
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Di Nora C, Cervesato E, Cosei I, Ravasel A, Popescu BA, Zito C, Carerj S, Antonini-Canterin F, Popescu AC. New classification of geometric ventricular patterns in severe aortic stenosis: Could it be clinically useful? Echocardiography 2018; 35:1077-1084. [PMID: 29663506 DOI: 10.1111/echo.13892] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND In severe aortic stenosis, different left ventricle (LV) remodeling patterns as a response to pressure overload have distinct hemodynamic profiles, cardiac function, and outcomes. The most common classification considers LV relative wall thickness and LV mass index to create 4 different groups. A new classification including also end-diastolic volume index has been recently proposed. AIM To describe the prevalence of the newly identified remodeling patterns in patients with severe aortic stenosis and to evaluate their clinical relevance according to symptoms. METHODS We analyzed 286 consecutive patients with isolated severe aortic stenosis. Current guidelines were used for echocardiographic evaluation. Symptoms were defined as the presence of angina, syncope, or NYHA class III-IV. RESULTS The mean age was 75 ± 9 years, 156 patients (54%) were men, while 158 (55%) were symptomatic. According to the new classification, the most frequent remodeling pattern was concentric hypertrophy (57.3%), followed by mixed (18.9%) and dilated hypertrophy (8.4%). There were no patients with eccentric remodeling; only 4 patients had a normalLV geometry. Symptomatic patients showed significantly more mixed hypertrophy (P < .05), while the difference regarding the prevalence of the other patterns was not statistically significant. When we analyzed the distribution of the classic 4 patterns stratified by the presence of symptoms, however, we did not find a significant difference (P = .157). CONCLUSIONS The new classification had refined the description of different cardiac geometric phenotypes that develop as a response to pressure overload. It might be superior to the classic 4 patterns in terms of association with symptoms.
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Affiliation(s)
- Concetta Di Nora
- Cardiovascular Department, ASUITS, University of Trieste, Trieste, Italy
| | | | - Iulian Cosei
- Institute of Cardiovascular Diseases "Prof. Dr. C. C. Iliescu", Bucharest, Romania
| | - Andreea Ravasel
- Institute of Cardiovascular Diseases "Prof. Dr. C. C. Iliescu", Bucharest, Romania
| | - Bogdan A Popescu
- Institute of Cardiovascular Diseases "Prof. Dr. C. C. Iliescu", Bucharest, Romania.,University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania
| | - Concetta Zito
- Cardiology Department, University of Messina, Messina, Italy
| | - Scipione Carerj
- Cardiology Department, University of Messina, Messina, Italy
| | | | - Andreea C Popescu
- University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania.,Cardiology Department, Elias Emergency Hospital, Bucharest, Romania
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14
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Christensen NL, Dahl JS, Carter-Storch R, Bakkestrøm R, Pecini R, Steffensen FH, Søndergaard EV, Videbæk LM, Møller JE. Relation of Left Atrial Size, Cardiac Morphology, and Clinical Outcome in Asymptomatic Aortic Stenosis. Am J Cardiol 2017; 120:1877-1883. [PMID: 28947308 DOI: 10.1016/j.amjcard.2017.07.101] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Revised: 07/13/2017] [Accepted: 07/20/2017] [Indexed: 12/20/2022]
Abstract
Left atrial (LA) dilation in asymptomatic severe aortic stenosis (AS) may be an indicator of advanced disease. We aimed to investigate the association between LA volume index and left ventricular (LV) morphology assessed with cardiac magnetic resonance imaging (cMRI), and to assess the association with cardiac events. Ninety-two asymptomatic patients with aortic valve area <1 cm2, aortic peak jet velocity >3.5 m/s, and ejection fraction ≥50% were prospectively enrolled and divided according to echocardiographic-derived LA volume index <35 ml/m2. Patients underwent echocardiography, cMRI, exercise testing, and were followed for the composite end point of death, readmission, or aortic valve replacement. Aortic valve area index was similar (0.45 ± 0.08 cm2/m2 vs 0.45 ± 0.09 cm2/m2, p = 0.85) in patients with a dilated and normal LA. On cMRI patients with dilated LA were characterized by higher LV mass index (73 ± 17 g/m2 vs 66 ± 16 g/m2, p = 0.03), increased right ventricle (70 ± 14 ml/m2 vs 63 ± 12 ml/m2, p = 0.01) and LV end-diastolic volume index (84 ± 18 ml/m2 vs 77 ± 16 ml/m2, p = 0.05), and higher brain natriuretic peptide. Late enhancement pattern was similar. During follow-up 20 events were recorded in patients with LA dilation compared with 8 in patients with normal LA (adjusted hazard ratio 2.77, 95% confidence interval 1.19 to 6.46, p = 0.02); also B-type natriuretic peptide >125 pg/ml was associated with adverse outcome (adjusted hazard ratio 3.63, 95% confidence interval interval 1.28 to 10.32, p = 0.02). LA dilation is associated with LV remodeling and provides prognostic information in severe asymptomatic AS.
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15
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Klaeboe LG, Haland TF, Leren IS, ter Bekke RM, Brekke PH, Røsjø H, Omland T, Gullestad L, Aakhus S, Haugaa KH, Edvardsen T. Prognostic Value of Left Ventricular Deformation Parameters in Patients with Severe Aortic Stenosis: A Pilot Study of the Usefulness of Strain Echocardiography. J Am Soc Echocardiogr 2017; 30:727-735.e1. [DOI: 10.1016/j.echo.2017.04.009] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Indexed: 12/15/2022]
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16
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The impact of age on the postoperative response of the diastolic function and left ventricular mass regression after surgical or transcatheter aortic valve replacement for severe aortic stenosis. Surg Today 2016; 47:770-776. [DOI: 10.1007/s00595-016-1458-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2016] [Accepted: 09/29/2016] [Indexed: 11/30/2022]
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