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Hegde SM, Claggett BL, Wang X, Jering K, Prasad N, Roshanali F, Masri A, Nassif ME, Barriales-Villa R, Abraham TP, Cardim N, Coats CJ, Kramer CM, Maron MS, Michels M, Olivotto I, Saberi S, Jacoby DL, Heitner SB, Kupfer S, Meng L, Wohltman A, Malik FI, Solomon SD. Impact of Aficamten on Echocardiographic Cardiac Structure and Function in Symptomatic Obstructive Hypertrophic Cardiomyopathy. J Am Coll Cardiol 2024; 84:1789-1802. [PMID: 39217556 DOI: 10.1016/j.jacc.2024.08.002] [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: 07/23/2024] [Revised: 08/07/2024] [Accepted: 08/08/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Aficamten, a next-in-class cardiac myosin inhibitor, improved peak oxygen uptake (pVO2) and lowered resting and Valsalva left ventricular outflow (LVOT) gradients in adults with symptomatic obstructive hypertrophic cardiomyopathy (oHCM) in SEQUOIA-HCM (Phase 3 Trial to Evaluate the Efficacy and Safety of Aficamten Compared to Placebo in Adults With Symptomatic oHCM), a phase 3, multicenter, randomized, double-blinded, placebo-controlled study. OBJECTIVES The authors sought to evaluate the effect of aficamten on echocardiographic measures of cardiac structure and function in SEQUOIA-HCM. METHODS Serial echocardiograms were performed over 28 weeks in patients randomized to receive placebo or aficamten in up to 4 individually titrated escalating doses (5-20 mg daily) over 24 weeks based on Valsalva LVOT gradients and left ventricular ejection fraction (LVEF). RESULTS Among 282 patients (mean age 59 ± 13 years; 41% female, 79% White, 19% Asian), mean LVEF was 75% ± 6% with resting and Valsalva LVOT gradients of 55 ± 30 mm Hg and 83 ± 32 mm Hg, respectively. Over 24 weeks, aficamten significantly lowered resting and Valsalva LVOT gradients, and improved left atrial volume index, lateral and septal e' velocities, and lateral and septal E/e' (all P ≤ 0.001). LV end-systolic volume increased and wall thickness decreased (all P ≤ 0.003). Aficamten resulted in a mild reversible decrease in LVEF (-4.8% [95% CI: -6.4% to -3.3%]; P < 0.001) and absolute LV global circumferential strain (-3.7% [95% CI: 1.8%-5.6%]; P < 0.0010), whereas LV global longitudinal strain was unchanged. Several measures, including LVEF, LVOT gradients, and E/e' returned to baseline following washout. Among those treated with aficamten, improved pVO2 and reduction in N-terminal pro-B-type natriuretic peptide (NT-proBNP) were associated with improvement in lateral e' velocity and septal and lateral E/e' (all P < 0.03), whereas improvement in Kansas City Cardiomyopathy Questionnaire Clinical Summary Scores (KCCQ-CSS) was associated with a decrease in both LVOT gradients (all P < 0.001). CONCLUSIONS Compared with placebo, patients receiving aficamten demonstrated significant improvement in LVOT gradients and measures of LV diastolic function, and several of these measures were associated with improvements in pVO2, KCCQ-CSS, and NT-proBNP. A modest decrease in LVEF occurred yet remained within normal range. These findings suggest aficamten improved multiple structural and physiological parameters in oHCM without significant adverse changes in LV systolic function. (Phase 3 Trial to Evaluate the Efficacy and Safety of Aficamten Compared to Placebo in Adults With Symptomatic oHCM [SEQUOIA-HCM]; NCT05186818).
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Affiliation(s)
- Sheila M Hegde
- Brigham and Women's Hospital, Boston, Massachusetts, USA.
| | | | - Xiaowen Wang
- Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Karola Jering
- Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | | | - Ahmad Masri
- Oregon Health & Science University, Portland, Oregon, USA
| | - Michael E Nassif
- University of Missouri Kansas City Healthcare Institute for Innovations in Quality and Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA
| | | | | | | | - Caroline J Coats
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom
| | - Christopher M Kramer
- Cardiology Division, Department of Medicine, University of Virginia Health System Charlottesville, Charlottesville, Virginia, USA
| | - Martin S Maron
- Lahey Hospital and Medical Center, Burlington, Massachusetts, USA
| | - Michelle Michels
- Erasmus Medical Center, Cardiovascular Institute, Thoraxcenter, Department of Cardiology, Rotterdam, the Netherlands
| | - Iacopo Olivotto
- Meyer Children's Hospital, Istituto di Ricovero e Cura a Carattere Scientifico, Florence, Italy
| | - Sara Saberi
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Daniel L Jacoby
- Cytokinetics, Incorporated, South San Francisco, California, USA
| | | | - Stuart Kupfer
- Cytokinetics, Incorporated, South San Francisco, California, USA
| | - Lisa Meng
- Cytokinetics, Incorporated, South San Francisco, California, USA
| | - Amy Wohltman
- Cytokinetics, Incorporated, South San Francisco, California, USA
| | - Fady I Malik
- Cytokinetics, Incorporated, South San Francisco, California, USA
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2
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Rocco M, Flavia N, Margherita L, Monaco ML, Collaku E, Nudi A, Gad A, Procopio C, Ioppolo A, Bertella E. Coronary Microvascular Dysfunction: Searching the Strongest Imaging Modality in Different Scenarios. Echocardiography 2024; 41:e70022. [PMID: 39494979 DOI: 10.1111/echo.70022] [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: 08/31/2024] [Revised: 10/16/2024] [Accepted: 10/18/2024] [Indexed: 11/05/2024] Open
Abstract
Coronary microvascular dysfunction is a clinical condition very diffuse in many different settings. Often the diagnosis can be very tricky, and choosing the proper diagnostic strategy can be fundamental for reaching the goal. The aim of this review is to evaluate the properties and the feasibility of our tests in specific scenarios by looking at the performances of each methodology reported in the literature.
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Affiliation(s)
- Mollace Rocco
- Advanced Cardiovascular Imaging Unit, Humanitas Gavazzeni, Bergamo, Italy
- Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Nicoli Flavia
- Advanced Cardiovascular Imaging Unit, Humanitas Gavazzeni, Bergamo, Italy
| | | | - Maria Lo Monaco
- Advanced Cardiovascular Imaging Unit, Humanitas Gavazzeni, Bergamo, Italy
| | - Elona Collaku
- Advanced Cardiovascular Imaging Unit, Humanitas Gavazzeni, Bergamo, Italy
| | - Alessandro Nudi
- Advanced Cardiovascular Imaging Unit, Humanitas Gavazzeni, Bergamo, Italy
| | - Alessandro Gad
- Advanced Cardiovascular Imaging Unit, Humanitas Gavazzeni, Bergamo, Italy
| | - Cristina Procopio
- Advanced Cardiovascular Imaging Unit, Humanitas Gavazzeni, Bergamo, Italy
| | | | - Erika Bertella
- Advanced Cardiovascular Imaging Unit, Humanitas Gavazzeni, Bergamo, Italy
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Ding Z, Liu Q, Luo H, Yang M, Zhang Y, Wang S, Luo Y, Chen S. A preoperative planning procedure of septal myectomy for hypertrophic obstructive cardiomyopathy using image-based computational fluid dynamics simulations and shape optimization. Sci Rep 2024; 14:24617. [PMID: 39426997 PMCID: PMC11490630 DOI: 10.1038/s41598-024-74091-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Accepted: 09/23/2024] [Indexed: 10/21/2024] Open
Abstract
Although septal myectomy is the preferred treatment for medication-refractory hypertrophic obstructive cardiomyopathy (HOCM), the procedure remains subjective. A preoperative planning procedure is proposed using computational fluid dynamics simulations and shape optimization to assist in the objective assessment of the adequacy of the resection. 3 patients with HOCM were chosen for the application of the proposed procedure. The geometries of the preoperative left ventricular outflow tract (LVOT) of patients in the systolic phase were reconstructed from medical images. Computaional fluid dynamics (CFD) simulations were performed to assess hemodynamics within LVOT. Sensitivity analysis was performed to determine the resection extent on the septal wall, and the depth of the resection was optimized to relieve LVOT obstruction while minimizing damage to the septum. The optimized resection was then transferred from systole to diastole to provide surgeons with instructive guidance for septal myectomy. Comparison between preoperative and postoperative hemodynamics showed an evident improvement with respect to the pressure gradient throughout the LVOT. The resected myocardium in the diastolic phase is more extended and thinner than its state in the systolic phase. The proposed preoperative planning procedure may be a viable addition to the current preoperative assessment of patients with HOCM.
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Affiliation(s)
- Zhihao Ding
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Department of Technology, Boea Wisdom (Hangzhou) Network Technology Co., Ltd., Hangzhou, 310000, China
| | - Qianwen Liu
- Department of Technology, Boea Wisdom (Hangzhou) Network Technology Co., Ltd., Hangzhou, 310000, China
| | - Huan Luo
- Department of Technology, Boea Wisdom (Hangzhou) Network Technology Co., Ltd., Hangzhou, 310000, China
| | - Ming Yang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Yining Zhang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Shilin Wang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yuanming Luo
- Department of Mechanical Engineering, The University of Iowa, Iowa City, 52242, USA.
| | - Shu Chen
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
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4
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Wysocki A, Macek P, Dziadkowiec-Macek B, Poręba M, Gać P, Poręba R. The Importance of Cardiac Magnetic Resonance in the Assessment Risk of Cardiac Arrhythmias in Patients with Arterial Hypertension. J Clin Med 2024; 13:5383. [PMID: 39336870 PMCID: PMC11432360 DOI: 10.3390/jcm13185383] [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: 07/18/2024] [Revised: 08/25/2024] [Accepted: 09/10/2024] [Indexed: 09/30/2024] Open
Abstract
Objectives: Arterial hypertension (AH) is one of the major risk factors for cardiovascular diseases. An association between untreated AH and arrhythmia is observed. Cardiac magnetic resonance (CMR) assesses myocardial fibrosis by detecting foci of late gadolinium enhancement (LGE). Clinical significance of LGE at the right ventricular insertion point (RVIP) is not fully established. This study aimed to assess the relationship between the presence of LGE at the RVIP determined by CMR and the incidence of arrhythmia in a group suffering from arterial hypertension. Methods: The study group consisted of 81 patients with AH (37 men and 44 women, age: 56.7 ± 7.1 years). All subjects underwent CMR and 24 h Holter ECG monitoring. Two subgroups were distinguished in the study group based on the criterion of the presence of LGE at the RVIP in CMR. The RVIP+ subgroup consisted of patients with LGE at the RVIP, while the RVIP- group consisted of patients without LGE at the RVIP. Results: The RVIP+ subgroup was characterized by higher maximum and minimum heart rates in 24 h Holter ECG recordings compared to the RVIP- subgroup (p < 0.05). The RVIP+ subgroup had a statistically significantly higher number of single premature supraventricular beats, supraventricular tachycardias, and single premature ventricular beats than the RVIP- subgroup (p < 0.05). Regression analysis documented that a longer duration of AH (counted from diagnosis) as well as the occurrence of LGE at the RVIP (assessed by CMR) are independent risk factors for arrhythmia (p < 0.05). Conclusions: Due to the possibility of detecting LGE at the RVIP, CMR may be a useful diagnostic method in estimating the risk of arrhythmias in the group of patients with AH.
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Affiliation(s)
- Andrzej Wysocki
- Centre of Diagnostic Imaging, 4th Military Hospital, 50-981 Wroclaw, Poland
| | - Piotr Macek
- Department of Internal and Occupational Diseases, Hypertension and Clinical Oncology, Wroclaw Medical University, 50-556 Wroclaw, Poland
| | - Barbara Dziadkowiec-Macek
- Department of Internal and Occupational Diseases, Hypertension and Clinical Oncology, Wroclaw Medical University, 50-556 Wroclaw, Poland
| | - Małgorzata Poręba
- Department of Paralympic Sports, Wroclaw University of Health and Sport Sciences, 51-617 Wroclaw, Poland
| | - Paweł Gać
- Centre of Diagnostic Imaging, 4th Military Hospital, 50-981 Wroclaw, Poland
- Department of Environmental Health, Occupational Medicine and Epidemiology, Wroclaw Medical University, 50-345 Wroclaw, Poland
| | - Rafał Poręba
- Centre of Diagnostic Imaging, 4th Military Hospital, 50-981 Wroclaw, Poland
- Department of Angiology and Internal Medicine, Wroclaw Medical University, 50-556 Wroclaw, Poland
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Owens AT, Desai M, Wheeler MT, Rodonski A, Merali S, Sehnert AJ, Saberi S. Mavacamten for Obstructive Hypertrophic Cardiomyopathy: Rationale for Clinically Guided Dose Titration to Optimize Individual Response. J Am Heart Assoc 2024; 13:e033767. [PMID: 39206723 PMCID: PMC11646538 DOI: 10.1161/jaha.124.033767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Mavacamten is the first and only cardiac myosin inhibitor approved in 5 continents for the treatment of adults with symptomatic New York Heart Association class II and III obstructive hypertrophic cardiomyopathy. An evidence-based rationale was used to develop individualized mavacamten dosing, guided by commonly used clinical parameters. Echocardiography is recommended as part of routine clinical assessment of patients with hypertrophic cardiomyopathy, and left ventricular (LV) outflow tract gradient and LV ejection fraction are parameters that can be readily assessed and monitored by echocardiography. Therefore, an echocardiography-based, clinically guided dose-titration strategy was developed to optimize patient benefit from mavacamten for the treatment of symptomatic obstructive hypertrophic cardiomyopathy while minimizing the risk of LV ejection fraction reduction. Results from clinical trials paired with extensive modeling and simulation analyses support a dose-titration and monitoring strategy based on serial echocardiographic measures of Valsalva LV outflow tract gradient and LV ejection fraction. This dosing approach allows for the identification of the lowest individualized mavacamten dose and exposure required to provide improvements in LV outflow tract obstruction, functional capacity, and symptoms. Mavacamten is primarily metabolized by CYP2C19 (cytochrome P450 2C19), and CYP2C19 metabolizer phenotype has an effect on mavacamten exposure. Therefore, this approach has also been demonstrated to provide a favorable safety profile irrespective of patients' CYP2C19 metabolizer status. The dose-titration strategy includes additional considerations for the potential onset of systolic dysfunction in the context of intercurrent illness, and for the potential of drug-drug interactions with inhibitors and substrates of cytochrome P450 enzymes. This posology is reflected in the mavacamten US prescribing information.
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Affiliation(s)
- Anjali T. Owens
- University of PennsylvaniaPerelman School of MedicinePhiladelphiaPAUSA
| | - Milind Desai
- Heart, Vascular, and Thoracic InstituteCleveland ClinicClevelandOHUSA
| | - Matthew T. Wheeler
- Division of Cardiovascular MedicineStanford University School of MedicineStanfordCAUSA
| | | | | | | | - Sara Saberi
- Division of Cardiovascular MedicineUniversity of MichiganAnn ArborMIUSA
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Dhont S, Verbrugge FH, Verwerft J, Bertrand PB. Non-invasive imaging in acute decompensated heart failure with preserved ejection fraction. EUROPEAN HEART JOURNAL. ACUTE CARDIOVASCULAR CARE 2024; 13:575-582. [PMID: 38683589 DOI: 10.1093/ehjacc/zuae041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/28/2024] [Accepted: 03/24/2024] [Indexed: 05/01/2024]
Abstract
Non-invasive imaging plays an increasingly important role in emergency medicine, given the trend towards smaller, portable ultrasound devices, the integration of ultrasound imaging across diverse medical disciplines, and the growing evidence supporting its clinical benefits for the patient. Heart failure with preserved ejection fraction (HFpEF) provides a compelling illustration of the impactful role that imaging plays in distinguishing diverse clinical presentations of heart failure with numerous associated comorbidities, including pulmonary, renal, or hepatic diseases. While a preserved left ventricular ejection fraction might misguide the clinician away from diagnosing cardiac disease, there are several clues provided by cardiac, vascular, and lung ultrasonography, as well as other imaging modalities, to rapidly identify (decompensated) HFpEF. Congestion remains the primary reason why patients with heart failure (irrespective of ejection fraction) seek emergency care. Furthermore, comprehensive phenotyping is becoming increasingly important, considering the development of targeted treatments for conditions exhibiting HFpEF physiology, such as cardiac amyloidosis. Timely recognition in such cases has lasting implications for long-term outcomes.
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Affiliation(s)
- Sebastiaan Dhont
- Faculty of Medicine and Life Sciences, Hasselt University, LCRC, Agoralaan, Diepenbeek 3590, Belgium
- Department of Cardiology, Ziekenhuis Oost-Limburg, Synaps Park 1, Genk 3600, Belgium
- Department of Future Health, Ziekenhuis Oost-Limburg, Synaps Park 1, Genk 3600, Belgium
| | - Frederik H Verbrugge
- Centre for Cardiovascular Diseases, University Hospital Brussels, Jette, Belgium
- Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium
| | - Jan Verwerft
- Faculty of Medicine and Life Sciences, Hasselt University, LCRC, Agoralaan, Diepenbeek 3590, Belgium
- Department of Cardiology, Jessa Hospital, Hasselt, Belgium
| | - Philippe B Bertrand
- Faculty of Medicine and Life Sciences, Hasselt University, LCRC, Agoralaan, Diepenbeek 3590, Belgium
- Department of Cardiology, Ziekenhuis Oost-Limburg, Synaps Park 1, Genk 3600, Belgium
- Department of Future Health, Ziekenhuis Oost-Limburg, Synaps Park 1, Genk 3600, Belgium
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7
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Cardim N. Hypertrophic cardiomyopathy: Paradigm shifts in the last 30 years (Part 1). Rev Port Cardiol 2024; 43:429-431. [PMID: 38432475 DOI: 10.1016/j.repc.2023.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 10/28/2023] [Accepted: 10/29/2023] [Indexed: 03/05/2024] Open
Affiliation(s)
- Nuno Cardim
- Nova Medical School, Lisbon, Portugal; Hospital CUF Descobertas, Lisbon, Portugal.
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Liu X, Li Y, Li W, Zhang Y, Zhang S, Ma Y, Yang F, Zhu Y. Diagnostic value of multimodal cardiovascular imaging technology coupled with biomarker detection in elderly patients with coronary heart disease. Br J Hosp Med (Lond) 2024; 85:1-10. [PMID: 38941970 DOI: 10.12968/hmed.2024.0123] [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] [Indexed: 06/30/2024]
Abstract
Aims/Background Coronary heart disease is a common disease in the elderly and has a complex pathogenesis, which complicates the clinical diagnostic process. Thus, enhancing the diagnostic efficiency for coronary heart disease is imperative to improve the life expectancy of the elderly. This study aimed to explore the diagnostic value of multimodal cardiovascular imaging technology coupled with biomarker detection in elderly patients with coronary heart disease. Methods The medical records of 421 patients with suspected coronary heart disease obtained from the geriatric department of the First Affiliated Hospital of Hebei North University from February 2020 to February 2023 were retrospectively analysed. After excluding 10 patients who did not meet the inclusion criteria, the remaining 411 patients were included in this study. The included subjects had undergone coronary computed tomography angiography and were divided into coronary heart disease group (n=208) and non-coronary heart disease group (n=203) according to the diagnostic results. Multimodal cardiovascular imaging (coronary computed tomography angiography and echocardiography) and detection of serum biomarkers such as small dense low-density lipoprotein, lipoprotein a, and gamma-glutamyl transferase were performed in both groups. The clinical indicators of the two groups were compared, and the combined diagnostic efficacy of multimodal cardiovascular imaging and biomarker detection was evaluated. Results Compared to the non-coronary heart disease group, the coronary heart disease group had significantly higher levels of maximum area stenosis, total plaque volume, total plaque burden and fibrotic plaque volume (p < ..001), and lower left ventricular ejection fraction level (p < ..001). Additionally, the coronary heart disease group exhibited higher levels of left ventricular end-diastolic volume, left ventricular end-systolic volume and stroke volume than the non-coronary heart disease group (p < ..001), and had higher levels of small dense low-density lipoprotein, lipoprotein a and gamma-glutamyl transferase (p < ..001). Our results demonstrated that combined diagnosis had better diagnostic efficacy than individual approaches, marked by higher area under the curve and sensitivity of the former (p < ..001). Conclusion Multimodal cardiovascular imaging technology combined with biomarker detection can distinctly improve the accuracy of coronary heart disease diagnosis in elderly patients.
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Affiliation(s)
- Xiaocheng Liu
- Department of Medical Imaging, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, China
| | - Yong Li
- Department of Medical Imaging, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, China
| | - Weitian Li
- Department of Ultrasound Medicine, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, China
| | - Youtao Zhang
- Department of Geriatric Medicine, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, China
| | - Shaolei Zhang
- Department of Nuclear Medicine, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, China
| | - Yongqing Ma
- Department of Medical Imaging, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, China
| | - Fei Yang
- Department of Medical Imaging, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, China
| | - Yuexiang Zhu
- Department of Medical Imaging, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, China
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Li J, Fang J, Liu Y, Wei X. Apical hypertrophic cardiomyopathy: pathophysiology, diagnosis and management. Clin Res Cardiol 2024; 113:680-693. [PMID: 37982860 PMCID: PMC11026226 DOI: 10.1007/s00392-023-02328-8] [Citation(s) in RCA: 1] [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: 07/03/2023] [Accepted: 10/18/2023] [Indexed: 11/21/2023]
Abstract
Since the first description of apical hypertrophic cardiomyopathy (ApHCM) in 1976, contrasting information from all over the world has emerged regarding the natural history of the disease. However, the recommended guidelines on hypertrophic cardiomyopathy (HCM) pay a cursory reference to ApHCM, without ApHCM-specific recommendations to guide the diagnosis and management. In addition, cardiologists may not be aware of certain aspects that are specific to this disease subtype, and a robust understanding of specific disease features can facilitate recognition and timely diagnosis. Therefore, the review covers the incidence, pathogenesis, and characteristics of ApHCM and imaging methods. Echocardiography and cardiovascular magnetic resonance imaging (CMR) are the most commonly used imaging methods. Moreover, this review presents the management strategies of this heterogeneous clinical entity. In this review, we introduce a novel transapical beating-heart septal myectomy procedure for ApHCM patients with a promising short-time result.
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Affiliation(s)
- Jiangtao Li
- Division of Cardiovascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave., Wuhan, 430030, China
- Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, China
- NHC Key Laboratory of Organ Transplantation, Ministry of Health, Wuhan, China
| | - Jing Fang
- Division of Cardiovascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave., Wuhan, 430030, China
- Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, China
- NHC Key Laboratory of Organ Transplantation, Ministry of Health, Wuhan, China
| | - Yani Liu
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave., Wuhan, 430030, China.
| | - Xiang Wei
- Division of Cardiovascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave., Wuhan, 430030, China.
- Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, China.
- NHC Key Laboratory of Organ Transplantation, Ministry of Health, Wuhan, China.
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Zhi Y, Gui FD, Xue M, Long YT, Miao W, Yi Y, Gao LC, Bing F, Pan SY. Focal ischemic myocardial fibrosis assessed by late gadolinium enhancement cardiovascular magnetic resonance in patients with hypertrophic cardiomyopathy. BMC Cardiovasc Disord 2024; 24:203. [PMID: 38594610 PMCID: PMC11003119 DOI: 10.1186/s12872-024-03859-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 03/25/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND In patients with hypertrophic cardiomyopathy (HCM), ischemic myocardial fibrosis assessed by late gadolinium enhancement (I-LGE) using cardiovascular magnetic resonance (CMR) have been reported. However, the clinical significance of I-LGE has not been completely understood. We aim to evaluate the I-LGE differ phenotypically from HCM without LGE or nonischemic myocardial fibrosis assessed by late gadolinium enhancement (NI-LGE) in the left ventricle (LV). METHODS The patients with HCM whom was underwent CMR were enrolled, using cine cardiac magnetic resonance to evaluate LV function and LGE to detect the myocardial fibrosis. Three groups were assorted: 1) HCM without LGE; 2) HCM with LGE involved the subendocardial layer was defined as I-LGE; 3) HCM with LGE not involved the subendocardial layer was defined as NI-LGE. RESULTS We enrolled 122 patients with HCM in the present study. LGE was detected in 58 of 122 (48%) patients with HCM, and 22 (18%) of patients reported I-LGE. HCM with I-LGE had increased higher left ventricular mass index (LVMI) (P < 0.0001) than HCM with NI-LGE or without LGE. In addition, HCM with I-LGE had a larger LV end- systolic volume (P = 0.045), lower LV ejection fraction (LVEF) (P = 0.026), higher LV myocardial mass (P < 0.001) and thicker LV wall (P < 0.001) more than HCM without LGE alone. The I-LGE were significantly associated with LVEF (OR: 0.961; P = 0.016), LV mass (OR: 1.028; P < 0.001), and maximal end-diastolic LVWT (OR: 1.567; P < 0.001). On multivariate analysis, LVEF (OR: 0.948; P = 0.013) and maximal end-diastolic LVWT (OR: 1.548; P = 0.001) were associated with higher risk for I-LGE compared to HCM without LGE. Noticeably, the maximal end-diastolic LVWT (OR: 1.316; P = 0.011) was the only associated with NI-LGE compared to HCM without LGE. CONCLUSIONS I-LGE is not uncommon in patients with HCM. HCM with I-LGE was associated with significant LV hypertrophy, extensive LGE and poor LV ejection fraction. We should consider focal ischemic myocardial fibrosis when applying LGE to risk stratification for HCM.
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Affiliation(s)
- Yang Zhi
- Department of Radiology, Chengdu Fifth People's Hospital, 33# Ma Shi Street, Chengdu, 611130, China
| | - Fu-Dan Gui
- Department of Cardiology, Chengdu Fifth People's Hospital, 33# Ma Shi Street, Chengdu, 611130, China
| | - Meng Xue
- Department of Radiology, Chengdu Fifth People's Hospital, 33# Ma Shi Street, Chengdu, 611130, China
| | - Yi-Tian Long
- Department of Radiology, Chengdu Fifth People's Hospital, 33# Ma Shi Street, Chengdu, 611130, China
| | - Wen Miao
- Department of Radiology, Chengdu Fifth People's Hospital, 33# Ma Shi Street, Chengdu, 611130, China
| | - You Yi
- Department of Radiology, Chengdu Fifth People's Hospital, 33# Ma Shi Street, Chengdu, 611130, China
| | - Liang-Chao Gao
- Department of Rheumatology and Immunology, Chengdu Fifth People's Hospital, Chengdu, China
| | - Fu Bing
- Department of Radiology, Chengdu Fifth People's Hospital, 33# Ma Shi Street, Chengdu, 611130, China.
| | - Shu-Yue Pan
- Department of Rheumatology and Immunology, Chengdu Fifth People's Hospital, Chengdu, China.
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11
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Steen H, Montenbruck M, Kallifatidis A, André F, Frey N, Kelle S, Korosoglou G. Multi-parametric non-contrast cardiac magnetic resonance for the differentiation between cardiac amyloidosis and hypertrophic cardiomyopathy. Clin Res Cardiol 2024; 113:469-480. [PMID: 38095711 DOI: 10.1007/s00392-023-02348-4] [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: 09/10/2023] [Accepted: 11/20/2023] [Indexed: 02/22/2024]
Abstract
AIM To evaluate the ability of fast strain-encoded (SENC) cardiac magnetic resonance (CMR) derived myocardial strain and native T1 mapping to discriminate between hypertrophic cardiomyopathy (HCM) and cardiac amyloidosis. METHODS Ninety nine patients (57 with hypertrophic cardiomyopathy and 42 with cardiac amyloidosis) were systematically analysed. LV-ejection fraction, LV-mass index, septal wall thickness and native T1 mapping values were assessed. In addition, global circumferential and longitudinal strain and segmental circumferential and longitudinal strain in basal, mid-ventricular, and apical segments were calculated. A ratio was built by dividing native T1 values by basal segmental strain (T1-to-basal segmental strain ratio). RESULTS Myocardial strain was equally distributed in apical and basal segments in HCM patients, whereas an apical sparing with less impaired apical strain was noticed in cardiac amyloidosis (apical-to-basal-ratio of 1.01 ± 0.23 versus 1.20 ± 0.28, p < 0.001). T1 values were significantly higher in amyloidosis compared to HCM patients (1170.7 ± 66.4 ms versus 1078.3 ± 57.4ms, p < 0.001). The T1-to-basal segmental strain ratio exhibited high accuracy for the differentiation between the two clinical entities (Sensitivity = 85%, Specificity = 77%, AUC = 0.90, 95% CI = 0.81-0.95, p < 0.001). Multivariable analysis showed that age and the T1-to-basal-strain-ratio were the most robust factors for the differentiation between HCM and cardiac amyloidosis. CONCLUSION The T1-to-basal-segmental strain ratio, combining information from segmental circumferential and longitudinal strain and native T1 mapping aids the differentiation between HCM and cardiac amyloidosis with high accuracy and within a fast CMR protocol, obviating the need for contrast agent administration.
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Affiliation(s)
- Henning Steen
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | | | | | - Florian André
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Norbert Frey
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Sebastian Kelle
- Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité Berlin, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Grigorios Korosoglou
- Departments of Cardiology, Vascular Medicine and Pneumology, GRN Hospital Weinheim, Roentgenstrasse 1, 69469, Weinheim, Germany.
- Weinheim Imaging Center, GRN Hospital Weinheim, Hector Foundation, Weinheim, Germany.
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12
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Hirano Y, Amano M, Obokata M, Izumo M, Utsunomiya H. Practice guidance for stress echocardiography. J Echocardiogr 2024; 22:1-15. [PMID: 38358595 DOI: 10.1007/s12574-024-00643-1] [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: 11/26/2023] [Revised: 12/17/2023] [Accepted: 01/04/2024] [Indexed: 02/16/2024]
Abstract
Stress echocardiography has been one of the most promising methods for the diagnosis of ischemic heart disease, hypertrophic cardiomyopathy, and pulmonary hypertension. The Japanese Society of Echocardiography produced practical guidance for the implementation of stress echocardiography in 2018. At that time, stress echocardiography was not yet widely disseminated in Japan; therefore, the 2018 practical guidance for the implementation of stress echocardiography included a report on stress echocardiography and a specific protocol to promote its use at many institutions in Japan in the future. And now, an era of renewed interest and enthusiasm surrounding the diagnosis and treatment of valvular heart disease and heart failure with preserved ejection fraction (HFpEF) has come, which are driven by emerging trans-catheter procedures and new recommended guideline-directed medical therapy. Based on the continued evidence of stress echocardiography, the new practical guideline that describes the safe and effective methodology of stress echocardiography is now created by the Guideline Development Committee of the Japanese Society of Echocardiography and is designed to expand the use of stress echocardiography for valvular heart disease and HFpEF, as well as ischemic heart disease, hypertrophic cardiomyopathy, and pulmonary hypertension. The readers are encouraged to perform stress echocardiography which will enhance the diagnosis and management of these patients.
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Affiliation(s)
- Yutaka Hirano
- Faculty of Medicine, Center for Medical Education and Clinical Training, Kindai University, 377-2 Ohnohigasi, Osakasayama, Osaka, 589-8511, Japan.
| | - Masashi Amano
- Department of Heart Failure and Transplantation, National Cerebral and Cardiovascular Center, 5‑7‑1 Fujishiro‑dai, Suita Osaka, 565‑8565, Japan
| | - Masaru Obokata
- Department of Cardiovascular Medicine, Gunma University Graduate School of Medicine, 3-39-22 Showa-Machi, Maebashi, Gunma, 371-8511, Japan
| | - Masaki Izumo
- Department of Cardiology, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae-Ku, Kawasaki, Kanagawa, 216-8511, Japan
| | - Hiroto Utsunomiya
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8551, Japan
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13
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Santoro F, Vitale E, Ragnatela I, Cetera R, Leopzzi A, Mallardi A, Matera A, Mele M, Correale M, Brunetti ND. Multidisciplinary approach in cardiomyopathies: From genetics to advanced imaging. Heart Fail Rev 2024; 29:445-462. [PMID: 38041702 DOI: 10.1007/s10741-023-10373-8] [Citation(s) in RCA: 1] [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] [Accepted: 11/23/2023] [Indexed: 12/03/2023]
Abstract
Cardiomyopathies are myocardial diseases characterized by mechanical and electrical dysfunction of the heart muscle which could lead to heart failure and life-threatening arrhythmias. Certainly, an accurate anamnesis, a meticulous physical examination, and an ECG are cornerstones in raising the diagnostic suspicion. However, cardiovascular imaging techniques are indispensable to diagnose a specific cardiomyopathy, to stratify the risk related to the disease and even to track the response to the therapy. Echocardiography is often the first exam that the patient undergoes, because of its non-invasiveness, wide availability, and cost-effectiveness. Cardiac magnetic resonance imaging allows to integrate and implement the information obtained with the echography. Furthermore, cardiomyopathies' genetic basis has been investigated over the years and the list of genetic mutations deemed potentially pathogenic is expected to grow further. The aim of this review is to show echocardiographic, cardiac magnetic resonance imaging, and genetic features of several cardiomyopathies: dilated cardiomyopathy (DMC), hypertrophic cardiomyopathy (HCM), arrhythmogenic cardiomyopathy (ACM), left ventricular noncompaction cardiomyopathy (LVNC), myocarditis, and takotsubo cardiomyopathy.
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Affiliation(s)
- Francesco Santoro
- Department of Medical and Surgical Sciences, Cardiology Unit, Policlinico "Riuniti", University of Foggia, Viale Pinto n.1, 71122, Foggia, Italy.
| | - Enrica Vitale
- Department of Medical and Surgical Sciences, Cardiology Unit, Policlinico "Riuniti", University of Foggia, Viale Pinto n.1, 71122, Foggia, Italy
| | - Ilaria Ragnatela
- Department of Medical and Surgical Sciences, Cardiology Unit, Policlinico "Riuniti", University of Foggia, Viale Pinto n.1, 71122, Foggia, Italy
| | - Rosa Cetera
- Department of Medical and Surgical Sciences, Cardiology Unit, Policlinico "Riuniti", University of Foggia, Viale Pinto n.1, 71122, Foggia, Italy
| | | | | | - Annalisa Matera
- Department of Medical and Surgical Sciences, Cardiology Unit, Policlinico "Riuniti", University of Foggia, Viale Pinto n.1, 71122, Foggia, Italy
| | - Marco Mele
- Department of Medical and Surgical Sciences, Cardiology Unit, Policlinico "Riuniti", University of Foggia, Viale Pinto n.1, 71122, Foggia, Italy
| | - Michele Correale
- Department of Medical and Surgical Sciences, Cardiology Unit, Policlinico "Riuniti", University of Foggia, Viale Pinto n.1, 71122, Foggia, Italy
| | - Natale Daniele Brunetti
- Department of Medical and Surgical Sciences, Cardiology Unit, Policlinico "Riuniti", University of Foggia, Viale Pinto n.1, 71122, Foggia, Italy
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14
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Zhou N, Liu A, Weng H, Liu W, Tian F, Zhao W, Ma J, Guo W, Chen H, Pan C, Shu X. Three-dimensional echocardiography reveals early mitral valve alterations in hypertrophic cardiomyopathy genetic mutation carriers. Int J Cardiol 2024; 395:131576. [PMID: 37949234 DOI: 10.1016/j.ijcard.2023.131576] [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: 04/18/2023] [Revised: 09/23/2023] [Accepted: 11/06/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND The mitral valve undergoes structural modifications in response to cardiac functional changes, often predating cardiac decompensation and overt clinical signs. Our study assessed the potential of mitral valve morphological changes as early indicators for detecting carriers of hypertrophic cardiomyopathy (HCM)-associated gene mutations. METHODS We studied 505 participants: 189 without the pathogenic gene mutations and left ventricular hypertrophy (G-/LVH-), 149 carriers without LV hypertrophy (G+/LVH-), and 167 manifest HCM patients (G+/LVH+). We juxtaposed the mitral valve morphology and associated metrics across these groups, emphasizing those carrying MYH7 and MYBPC3 mutations. RESULTS We discerned pronounced disparities in the mitral annulus and leaflet structures across the groups. The mitral valve apparatus in mutation carriers exhibited a tendency towards a flattened profile. Detailed analysis spotlighted MYBPC3 mutation carriers, whose mitral valves were notably flatter (with notably lower AHCWR values than non-carriers); this contrast was not evident in MYH7 mutation carriers. This mitral valve flattening, manifest in the mutation carriers, suggests it might be an adaptive response to incipient cardiac dysfunction in HCM's nascent stages. CONCLUSIONS Three-dimensional echocardiography illuminates the initial mitral valve structural changes in HCM patients bearing pathogenic gene mutations. These morphological signatures hold promise as sensitive imaging markers, especially for asymptomatic carriers of the MYBPC3 mutation.
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Affiliation(s)
- Nianwei Zhou
- Department of Echocardiography, Zhongshan Hospital,Fudan University,Shanghai Institute of Cardiovascular Disease, Shanghai Institute of Medical Imaging, Fenglin Road 180, Xuhui District, Shanghai, China
| | - Ao Liu
- Department of Echocardiography, Zhongshan Hospital,Fudan University,Shanghai Institute of Cardiovascular Disease, Shanghai Institute of Medical Imaging, Fenglin Road 180, Xuhui District, Shanghai, China
| | - Haobo Weng
- Department of Echocardiography, Zhongshan Hospital,Fudan University,Shanghai Institute of Cardiovascular Disease, Shanghai Institute of Medical Imaging, Fenglin Road 180, Xuhui District, Shanghai, China
| | - Wen Liu
- Department of Echocardiography, Zhongshan Hospital,Fudan University,Shanghai Institute of Cardiovascular Disease, Shanghai Institute of Medical Imaging, Fenglin Road 180, Xuhui District, Shanghai, China
| | - Fangyan Tian
- Department of Echocardiography, Zhongshan Hospital,Fudan University,Shanghai Institute of Cardiovascular Disease, Shanghai Institute of Medical Imaging, Fenglin Road 180, Xuhui District, Shanghai, China
| | - Weipeng Zhao
- Department of Echocardiography, Zhongshan Hospital,Fudan University,Shanghai Institute of Cardiovascular Disease, Shanghai Institute of Medical Imaging, Fenglin Road 180, Xuhui District, Shanghai, China
| | - Jing Ma
- Department of Echocardiography, Shanghai Xuhui District Central Hospital, Huaihai Middle Road 966, Xuhui District, Shanghai, China
| | - Wei Guo
- Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Fenglin Road 180, Xuhui District, Shanghai, China
| | - Haiyan Chen
- Department of Echocardiography, Zhongshan Hospital,Fudan University,Shanghai Institute of Cardiovascular Disease, Shanghai Institute of Medical Imaging, Fenglin Road 180, Xuhui District, Shanghai, China
| | - Cuizhen Pan
- Department of Echocardiography, Zhongshan Hospital,Fudan University,Shanghai Institute of Cardiovascular Disease, Shanghai Institute of Medical Imaging, Fenglin Road 180, Xuhui District, Shanghai, China
| | - Xianhong Shu
- Department of Echocardiography, Zhongshan Hospital,Fudan University,Shanghai Institute of Cardiovascular Disease, Shanghai Institute of Medical Imaging, Fenglin Road 180, Xuhui District, Shanghai, China; Department of Echocardiography, Shanghai Xuhui District Central Hospital, Huaihai Middle Road 966, Xuhui District, Shanghai, China.
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15
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Setia A, Mehata AK, Priya V, Pawde DM, Jain D, Mahto SK, Muthu MS. Current Advances in Nanotheranostics for Molecular Imaging and Therapy of Cardiovascular Disorders. Mol Pharm 2023; 20:4922-4941. [PMID: 37699355 DOI: 10.1021/acs.molpharmaceut.3c00582] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/14/2023]
Abstract
Cardiovascular diseases (CVDs) refer to a collection of conditions characterized by abnormalities in the cardiovascular system. They are a global problem and one of the leading causes of mortality and disability. Nanotheranostics implies to the combination of diagnostic and therapeutic capabilities inside a single nanoscale platform that has allowed for significant advancement in cardiovascular diagnosis and therapy. These advancements are being developed to improve imaging capabilities, introduce personalized therapies, and boost cardiovascular disease patient treatment outcomes. Significant progress has been achieved in the integration of imaging and therapeutic capabilities within nanocarriers. In the case of cardiovascular disease, nanoparticles provide targeted delivery of therapeutics, genetic material, photothermal, and imaging agents. Directing and monitoring the movement of these therapeutic nanoparticles may be done with pinpoint accuracy by using imaging modalities such as cardiovascular magnetic resonance (CMR), computed tomography (CT), positron emission tomography (PET), photoacoustic/ultrasound, and fluorescence imaging. Recently, there has been an increasing demand of noninvasive for multimodal nanotheranostic platforms. In these platforms, various imaging technologies such as optical and magnetic resonance are integrated into a single nanoparticle. This platform helps in acquiring more accurate descriptions of cardiovascular diseases and provides clues for accurate diagnosis. Advances in surface functionalization methods have strengthened the potential application of nanotheranostics in cardiovascular diagnosis and therapy. In this Review, we have covered the potential impact of nanomedicine on CVDs. Additionally, we have discussed the recently developed various nanoparticles for CVDs imaging. Moreover, advancements in the CMR, CT, PET, ultrasound, and photoacoustic imaging for the CVDs have been discussed. We have limited our discussion to nanomaterials based clinical trials for CVDs and their patents.
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Affiliation(s)
- Aseem Setia
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh 221005, India
| | - Abhishesh Kumar Mehata
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh 221005, India
| | - Vishnu Priya
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh 221005, India
| | - Datta Maroti Pawde
- School of Pharmacy & Technology Management, SVKM's Narsee Monjee Institute of Management Studies (NMIMS) Deemed-to-be University, Shirpur, Dhule, Maharashtra 425405, India
| | - Dharmendra Jain
- Department of Cardiology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh 221005, India
| | - Sanjeev Kumar Mahto
- School of Biomedical Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh 221005, India
| | - Madaswamy S Muthu
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh 221005, India
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16
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Arbelo E, Protonotarios A, Gimeno JR, Arbustini E, Barriales-Villa R, Basso C, Bezzina CR, Biagini E, Blom NA, de Boer RA, De Winter T, Elliott PM, Flather M, Garcia-Pavia P, Haugaa KH, Ingles J, Jurcut RO, Klaassen S, Limongelli G, Loeys B, Mogensen J, Olivotto I, Pantazis A, Sharma S, Van Tintelen JP, Ware JS, Kaski JP. 2023 ESC Guidelines for the management of cardiomyopathies. Eur Heart J 2023; 44:3503-3626. [PMID: 37622657 DOI: 10.1093/eurheartj/ehad194] [Citation(s) in RCA: 794] [Impact Index Per Article: 397.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/26/2023] Open
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17
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Reddy S, Teja D, R R, Vishal L, Gattu H, Nagilla MR. Cardiac Remodeling and Functional Changes in Patients With Hypertrophic Cardiomyopathy: A Longitudinal Observational Study. Cureus 2023; 15:e46610. [PMID: 37936986 PMCID: PMC10626149 DOI: 10.7759/cureus.46610] [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: 08/15/2023] [Accepted: 10/06/2023] [Indexed: 11/09/2023] Open
Abstract
BACKGROUND Hypertrophic cardiomyopathy (HCM) is a hereditary cardiac disorder characterized by abnormal thickening of the left ventricular myocardium. This can lead to various clinical manifestations, including sudden death. AIM To investigate the cardiac remodeling and functional changes in patients with HCM over a specific time period and explore the impact of different treatment regimens on disease progression. METHODS We conducted a prospective longitudinal observational study involving 100 patients diagnosed with HCM. Baseline clinical data, including demographics, medical history, and echocardiographic measurements, were collected. Follow-up assessments were performed at regular intervals over 24 months to track changes in cardiac structure, function, and clinical status. Statistical analysis, including paired t-tests and subgroup analysis, was conducted to identify significant associations and differences between treatment groups. RESULTS A total of 100 patients (mean age = 55 years, 50% male) were enrolled in the study. At baseline, echocardiography revealed increased left ventricular wall thickness (mean = 18.5 mm), left atrial dimensions (mean = 39 mm), and ventricular mass (mean = 230 g). During the follow-up period, there was a progressive increase in left ventricular wall thickness (mean change = 1.0 mm/year, p < 0.001), left atrial dimensions (mean change = 3.0 mm/year, p < 0.001), and ventricular mass (mean change = 8 g/year, p = 0.003). Additionally, alterations in diastolic and systolic function parameters were noted, with a decline in E/A ratio (mean change = -0.1 units/year, p = 0.008) and a reduction in ejection fraction (mean change = -2.0% per year, p = 0.001). CONCLUSION Our longitudinal observational study provides important insights into the cardiac remodeling and functional changes in patients with HCM over time. The progressive increase in cardiac parameters indicates ongoing disease progression. Additionally, beta-blocker therapy was associated with a slower rate of left ventricular wall thickening. These findings contribute to a better understanding of HCM's natural history and may guide targeted therapeutic approaches to improve patient outcomes.
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Affiliation(s)
- Shabarnadh Reddy
- Department of General Medicine, Narayana Medical College, Nellore, IND
| | - Dharma Teja
- Department of General Medicine, Mamata Medical College, Khammam, IND
| | - Rithvika R
- Department of General Medicine, Osmania Medical College and Hospital, Hyderabad, IND
| | - Loney Vishal
- Department of General Medicine, Osmania Medical College and Hospital, Hyderabad, IND
| | - Harshadeep Gattu
- Department of General Medicine, Osmania Medical College and Hospital, Hyderabad, IND
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18
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Baron T, Gerovasileiou S, Flachskampf FA. The role of imaging in the selection of patients for HFpEF therapy. Eur Heart J Cardiovasc Imaging 2023; 24:1343-1351. [PMID: 37399510 PMCID: PMC10531123 DOI: 10.1093/ehjci/jead137] [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: 05/30/2023] [Accepted: 06/06/2023] [Indexed: 07/05/2023] Open
Abstract
Heart failure with preserved ejection fraction (HFpEF) traditionally has been characterized as a form of heart failure without therapeutic options, in particular with a lack of response to the established therapies of heart failure with reduced ejection fraction (HFrEF). However, this is no longer true. Besides physical exercise, risk factor modification, aldosterone blocking agents, and sodium-glucose cotransporter 2 inhibitors, specific therapies are emerging for specific HFpEF etiologies, such as hypertrophic cardiomyopathy or cardiac amyloidosis. This development justifies increased efforts to arrive at specific diagnoses within the umbrella of HFpEF. Cardiac imaging plays by far the largest role in this effort and is discussed in the following review.
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Affiliation(s)
- Tomasz Baron
- Department of Medical Sciences, Cardiology and Clinical Physiology, Uppsala University and Uppsala University Hospital, 751 85 Uppsala, Sweden
- Uppsala Clinical Research, 751 85 Uppsala, Sweden
| | - Spyridon Gerovasileiou
- Department of Medical Sciences, Cardiology and Clinical Physiology, Uppsala University and Uppsala University Hospital, 751 85 Uppsala, Sweden
- VO Medicin, Lasarettet i Enköping, all 785 81 Uppsala, Sweden
| | - Frank A Flachskampf
- Department of Medical Sciences, Cardiology and Clinical Physiology, Uppsala University and Uppsala University Hospital, 751 85 Uppsala, Sweden
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19
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Cardim N, Lopes LR, Quarta G. Editorial: Comprehensive risk prediction in cardiomyopathies: new genetic and imaging markers of risk, volume II. Front Cardiovasc Med 2023; 10:1282587. [PMID: 37781310 PMCID: PMC10534966 DOI: 10.3389/fcvm.2023.1282587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 09/05/2023] [Indexed: 10/03/2023] Open
Affiliation(s)
- Nuno Cardim
- Cardiology Department, Hospital CUF Descobertas, Lisbon, Portugal
- Nova Medical School, Lisbon, Portugal
| | - Luis Rocha Lopes
- Barts Heart Centre, St. Bartholomew’s Hospital, London, United Kingdom
- Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Giovanni Quarta
- Cardiovascular department, Papa Giovanni XXIII Hospital, Bergamo, Italy
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20
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Yang S, Zhao K, Yang K, Song J, Yu S, Wang J, Dong Z, Ma X, Yin G, Li J, Cheng H, Lu M, Chen X, Zhao S. Subendocardial Involvement as an Underrecognized LGE Subtype Related to Adverse Outcomes in Hypertrophic Cardiomyopathy. JACC Cardiovasc Imaging 2023; 16:1163-1177. [PMID: 37204388 DOI: 10.1016/j.jcmg.2023.03.011] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 02/16/2023] [Accepted: 03/15/2023] [Indexed: 05/20/2023]
Abstract
BACKGROUND Late gadolinium enhancement (LGE) has been established as an independent predictor for adverse outcomes in hypertrophic cardiomyopathy (HCM). However, the prevalence and clinical significance of some LGE subtypes have not been well demonstrated. OBJECTIVES In this study, the authors sought to investigate the prognostic value of subendocardium-involved LGE pattern and location of right ventricle insertion points (RVIPs) with LGE in HCM patients. METHODS In this single-center retrospective study, 497 consecutive HCM patients with LGE confirmed by cardiac magnetic resonance (CMR) were included. Subendocardium-involved LGE was defined as LGE involving subendocardium not corresponding to a coronary vascular distribution. Subjects with ischemic heart disease that would contribute to subendocardial LGE were excluded. Endpoints included a composite of heart failure-related events, arrhythmic events, and stroke. RESULTS Of the 497 patients, subendocardium-involved LGE and RVIP LGE were observed in 184 (37.0%) and 414 (83.3%), respectively. Extensive LGE (≥15% of left ventricular mass) was detected in 135 patients. During a median follow-up of 57.9 months, 66 patients (13.3%) experienced composite endpoints. Patients with extensive LGE had a significantly higher annual incidence of adverse events (5.1% vs 1.9% per year; P < 0.001). However, spline analysis showed that the association between LGE extent and HRs for adverse outcomes tended to be nonlinear. The risk of composite endpoint increased with percentage increase in LGE extent in patients with extensive LGE, whereas a similar trend was not observed in patients with nonextensive LGE (<15%). In patients with extensive LGE, LGE extent significantly correlated with composite endpoints (HR: 1.05; P = 0.03) after adjusting for left ventricular ejection fraction <50%, atrial fibrillation, and nonsustained ventricular tachycardia, whereas in patients with nonextensive LGE, subendocardium-involved LGE rather than LGE extent was independently associated with adverse outcomes (HR: 2.12; P = 0.03). RVIP LGE was not significantly associated with poor outcomes. CONCLUSIONS In HCM patients with nonextensive LGE, the presence of subendocardium-involved LGE rather than LGE extent is associated with unfavorable outcomes. Given that the prognostic value of extensive LGE has been broadly recognized, subendocardial involvement as an underrecognized LGE pattern shows the potential to improve risk stratification in HCM patients with nonextensive LGE.
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Affiliation(s)
- Shujuan Yang
- MR Center, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Kankan Zhao
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Kai Yang
- MR Center, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jialin Song
- MR Center, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Shiqin Yu
- MR Center, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jiaxin Wang
- MR Center, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Zhixiang Dong
- MR Center, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Xuan Ma
- MR Center, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Gang Yin
- MR Center, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jinghui Li
- MR Center, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Huaibing Cheng
- Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Minjie Lu
- MR Center, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Xiuyu Chen
- MR Center, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.
| | - Shihua Zhao
- MR Center, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.
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21
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Kim SR, Park SM. Role of cardiac imaging in management of heart failure. Korean J Intern Med 2023; 38:607-619. [PMID: 37641801 PMCID: PMC10493450 DOI: 10.3904/kjim.2023.262] [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: 06/16/2023] [Revised: 08/21/2023] [Accepted: 08/22/2023] [Indexed: 08/31/2023] Open
Abstract
The significant advancement in cardiac imaging in recent years led to improved diagnostic accuracy in identifying the specific causes of heart failure and also provided physicians with guidelines for appropriately managing patients with heart failure. Diseases that were once considered rare are now more easily detected with the aid of cardiac imaging. Various cardiac imaging techniques are used to evaluate patients with heart failure, and each technique plays a distinct yet complementary role. This review aimed to discuss the comprehensive role of different types of cardiac imaging in the management of heart failure.
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Affiliation(s)
- So Ree Kim
- Division of Cardiology, Korea University Anam Hospital, Seoul, Korea
| | - Seong-Mi Park
- Division of Cardiology, Korea University Anam Hospital, Seoul, Korea
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22
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Filomena D, Vandenberk B, Dresselaers T, Willems R, Van Cleemput J, Olivotto I, Robyns T, Bogaert J. Apical papillary muscle displacement is a prevalent feature and a phenotypic precursor of apical hypertrophic cardiomyopathy. Eur Heart J Cardiovasc Imaging 2023; 24:1009-1016. [PMID: 37114736 DOI: 10.1093/ehjci/jead078] [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: 02/19/2023] [Revised: 03/24/2023] [Accepted: 03/27/2023] [Indexed: 04/29/2023] Open
Abstract
AIMS Papillary muscle (PM) abnormalities are considered part of the phenotypic spectrum of hypertrophic cardiomyopathy (HCM). The aim of this study was to evaluate the presence and frequency of PM displacement in different HCM phenotypes. METHODS AND RESULTS We retrospectively analysed cardiovascular magnetic resonance (CMR) findings in 156 patients (25% females, median age 57 years). Patients were divided into three groups: septal hypertrophy (Sep-HCM, n = 70, 45%), mixed hypertrophy (Mixed-HCM, n = 48, 31%), and apical hypertrophy (Ap-HCM, n = 38, 24%). Fifty-five healthy subjects were enrolled as controls. Apical PM displacement was observed in 13% of controls and 55% of patients, which was most common in the Ap-HCM group, followed by the Mixed-HCM and Sep-HCM groups (respectively: inferomedial PM 92 vs. 65 vs. 13%, P < 0.001; anterolateral PM 61 vs. 40 vs. 9%, P < 0.001). Significant differences in PM displacement were found when comparing healthy controls with patients with Ap- and Mixed-HCM subtypes but not when comparing them with patients with the Sep-HCM subtype. T-wave inversion in the inferior and lateral leads was more frequent in patients with Ap-HCM (100 and 65%, respectively) when compared with Mixed-HCM (89 and 29%, respectively) and Sep-HCM (57 and 17%, respectively; P < 0.001 for both). Eight patients with Ap-HCM had prior CMR examinations because of T-wave inversion [median interval 7 (3-8) years], and in the first CMR study, none showed apical hypertrophy [median apical wall thickness 8 (7-9) mm], while all of them presented with apical PM displacement. CONCLUSION Apical PM displacement is part of the phenotypic Ap-HCM spectrum and may precede the development of hypertrophy. These observations suggest a potential pathogenetic, mechanical link between apical PM displacement and Ap-HCM.
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Affiliation(s)
- Domenico Filomena
- Department of Imaging and Pathology, KU Leuven, Herestraat 49, Leuven B-3000, Belgium
| | - Bert Vandenberk
- Department of Imaging and Pathology, KU Leuven, Herestraat 49, Leuven B-3000, Belgium
| | - Tom Dresselaers
- Department of Imaging and Pathology, KU Leuven, Herestraat 49, Leuven B-3000, Belgium
| | - Rik Willems
- Department of Imaging and Pathology, KU Leuven, Herestraat 49, Leuven B-3000, Belgium
| | - Johan Van Cleemput
- Department of Imaging and Pathology, KU Leuven, Herestraat 49, Leuven B-3000, Belgium
| | - Iacopo Olivotto
- Department of Imaging and Pathology, KU Leuven, Herestraat 49, Leuven B-3000, Belgium
| | - Tomas Robyns
- Department of Imaging and Pathology, KU Leuven, Herestraat 49, Leuven B-3000, Belgium
| | - Jan Bogaert
- Department of Imaging and Pathology, KU Leuven, Herestraat 49, Leuven B-3000, Belgium
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23
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Dasari M, Arun Kumar P, Bhattad PB, Jha A, Sherif AA, Mishra AK, Ramsaran E. Yamaguchi syndrome - An updated review article of electrocardiographic and echocardiographic findings. Am J Med Sci 2023; 366:27-31. [PMID: 37003508 DOI: 10.1016/j.amjms.2023.03.025] [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: 10/08/2022] [Accepted: 03/27/2023] [Indexed: 04/03/2023]
Abstract
Apical hypertrophic cardiomyopathy (ApHCM) is thought to be an uncommon variant of hypertrophic cardiomyopathy (HCM). This article is a literature review focusing on the characteristic electrocardiogram (EKG) and 2D echocardiogram findings as currently there are no specific ACC/AHA/ESC guidelines set as diagnostic criteria for ApHCM.
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Affiliation(s)
- Mahati Dasari
- Department of Internal Medicine, Saint Vincent Hospital, Worcester, MA, USA.
| | - Pramukh Arun Kumar
- Department of Internal Medicine, Saint Vincent Hospital, Worcester, MA, USA
| | | | - Anil Jha
- Department of Cardiovascular Medicine, Saint Vincent Hospital, Worcester, MA, USA
| | - Akil A Sherif
- Department of Cardiovascular Medicine, Saint Vincent Hospital, Worcester, MA, USA
| | - Ajay K Mishra
- Department of Cardiovascular Medicine, Saint Vincent Hospital, Worcester, MA, USA
| | - Eddison Ramsaran
- Department of Cardiovascular Medicine, Saint Vincent Hospital, Worcester, MA, USA
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24
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Toste A, Cardim N. The role of papillary muscle abnormalities in hypertrophic cardiomyopathy: a new paradigm shift? Eur Heart J Cardiovasc Imaging 2023:7185854. [PMID: 37248791 DOI: 10.1093/ehjci/jead115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/31/2023] Open
Affiliation(s)
- Alexandra Toste
- Hospital da Luz Cardiology Department Av Lusíada, 100 1500-650 Lisbon, Portugal
- Nova Medical School, Campo Mártires da Patria 130, 1169-056 Lisbon, Portugal
| | - Nuno Cardim
- Nova Medical School, Campo Mártires da Patria 130, 1169-056 Lisbon, Portugal
- Cardiology Department Hospital CUF- Descobertas, Rua Mário Botas, 1998-018 Lisbon, Portugal
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25
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Castiglione V, Aimo A, Todiere G, Barison A, Fabiani I, Panichella G, Genovesi D, Bonino L, Clemente A, Cademartiri F, Giannoni A, Passino C, Emdin M, Vergaro G. Role of Imaging in Cardiomyopathies. Card Fail Rev 2023; 9:e08. [PMID: 37427006 PMCID: PMC10326670 DOI: 10.15420/cfr.2022.26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 11/07/2022] [Indexed: 07/11/2023] Open
Abstract
Imaging has a central role in the diagnosis, classification, and clinical management of cardiomyopathies. While echocardiography is the first-line technique, given its wide availability and safety, advanced imaging, including cardiovascular magnetic resonance (CMR), nuclear medicine and CT, is increasingly needed to refine the diagnosis or guide therapeutic decision-making. In selected cases, such as in transthyretin-related cardiac amyloidosis or in arrhythmogenic cardiomyopathy, the demonstration of histological features of the disease can be avoided when typical findings are observed at bone-tracer scintigraphy or CMR, respectively. Findings from imaging techniques should always be integrated with data from the clinical, electrocardiographic, biomarker, genetic and functional evaluation to pursue an individualised approach to patients with cardiomyopathy.
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Affiliation(s)
- Vincenzo Castiglione
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
- Health Science Interdisciplinary Center, Scuola Superiore Sant’AnnaPisa, Italy
| | - Alberto Aimo
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
- Health Science Interdisciplinary Center, Scuola Superiore Sant’AnnaPisa, Italy
| | - Giancarlo Todiere
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
| | - Andrea Barison
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
- Health Science Interdisciplinary Center, Scuola Superiore Sant’AnnaPisa, Italy
| | - Iacopo Fabiani
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
| | - Giorgia Panichella
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
| | - Dario Genovesi
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
| | - Lucrezia Bonino
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
| | - Alberto Clemente
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
| | - Filippo Cademartiri
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
| | - Alberto Giannoni
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
- Health Science Interdisciplinary Center, Scuola Superiore Sant’AnnaPisa, Italy
| | - Claudio Passino
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
- Health Science Interdisciplinary Center, Scuola Superiore Sant’AnnaPisa, Italy
| | - Michele Emdin
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
- Health Science Interdisciplinary Center, Scuola Superiore Sant’AnnaPisa, Italy
| | - Giuseppe Vergaro
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
- Health Science Interdisciplinary Center, Scuola Superiore Sant’AnnaPisa, Italy
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26
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Liu Q, Lu Q, Chai Y, Tao Z, Wu Q, Jiang M, Pu J. Papillary-Muscle-Derived Radiomic Features for Hypertrophic Cardiomyopathy versus Hypertensive Heart Disease Classification. Diagnostics (Basel) 2023; 13:diagnostics13091544. [PMID: 37174935 PMCID: PMC10177511 DOI: 10.3390/diagnostics13091544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 04/23/2023] [Accepted: 04/24/2023] [Indexed: 05/15/2023] Open
Abstract
Purpose: This study aimed to assess the value of radiomic features derived from the myocardium (MYO) and papillary muscle (PM) for left ventricular hypertrophy (LVH) detection and hypertrophic cardiomyopathy (HCM) versus hypertensive heart disease (HHD) differentiation. Methods: There were 345 subjects who underwent cardiovascular magnetic resonance (CMR) examinations that were analyzed. After quality control and manual segmentation, the 3D radiomic features were extracted from the MYO and PM. The data were randomly split into training (70%) and testing (30%) datasets. Feature selection was performed on the training dataset. Five machine learning models were evaluated using the MYO, PM, and MYO+PM features in the detection and differentiation tasks. The optimal differentiation model was further evaluated using CMR parameters and combined features. Results: Six features were selected for the MYO, PM, and MYO+PM groups. The support vector machine models performed best in both the detection and differentiation tasks. For LVH detection, the highest area under the curve (AUC) was 0.966 in the MYO group. For HCM vs. HHD differentiation, the best AUC was 0.935 in the MYO+PM group. Comparing the radiomics models to the CMR parameter models for the differentiation tasks, the radiomics models achieved significantly improved the performance (p = 0.002). Conclusions: The radiomics model with the MYO+PM features showed similar performance to the models developed from the MYO features in the detection task, but outperformed the models developed from the MYO or PM features in the differentiation task. In addition, the radiomic models performed better than the CMR parameters' models.
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Affiliation(s)
- Qiming Liu
- Department of Cardiology, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200120, China
| | - Qifan Lu
- Department of Cardiology, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200120, China
| | - Yezi Chai
- Department of Cardiology, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200120, China
| | - Zhengyu Tao
- Department of Cardiology, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200120, China
| | - Qizhen Wu
- Department of Cardiology, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200120, China
| | - Meng Jiang
- Department of Cardiology, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200120, China
| | - Jun Pu
- Department of Cardiology, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200120, China
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27
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Diao K, Liang HQ, Yin HK, Yuan MJ, Gu M, Yu PX, He S, Sun J, Song B, Li K, He Y. Multi-channel deep learning model-based myocardial spatial-temporal morphology feature on cardiac MRI cine images diagnoses the cause of LVH. Insights Imaging 2023; 14:70. [PMID: 37093501 PMCID: PMC10126185 DOI: 10.1186/s13244-023-01401-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 03/08/2023] [Indexed: 04/25/2023] Open
Abstract
BACKGROUND To develop a fully automatic framework for the diagnosis of cause for left ventricular hypertrophy (LVH) via cardiac cine images. METHODS A total of 302 LVH patients with cine MRI images were recruited as the primary cohort. Another 53 LVH patients prospectively collected or from multi-centers were used as the external test dataset. Different models based on the cardiac regions (Model 1), segmented ventricle (Model 2) and ventricle mask (Model 3) were constructed. The diagnostic performance was accessed by the confusion matrix with respect to overall accuracy. The capability of the predictive models for binary classification of cardiac amyloidosis (CA), hypertrophic cardiomyopathy (HCM) or hypertensive heart disease (HHD) were also evaluated. Additionally, the diagnostic performance of best Model was compared with that of 7 radiologists/cardiologists. RESULTS Model 3 showed the best performance with an overall classification accuracy up to 77.4% in the external test datasets. On the subtasks for identifying CA, HCM or HHD only, Model 3 also achieved the best performance with AUCs yielding 0.895-0.980, 0.879-0.984 and 0.848-0.983 in the validation, internal test and external test datasets, respectively. The deep learning model showed non-inferior diagnostic capability to the cardiovascular imaging expert and outperformed other radiologists/cardiologists. CONCLUSION The combined model based on the mask of left ventricular segmented from multi-sequences cine MR images shows favorable and robust performance in diagnosing the cause of left ventricular hypertrophy, which could be served as a noninvasive tool and help clinical decision.
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Affiliation(s)
- Kaiyue Diao
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Hong-Qing Liang
- Department of Radiology, First Affiliated Hospital to Army Medical University (Third Military Medical University Southwest Hospital), Chongqing, China
| | - Hong-Kun Yin
- Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China
| | - Ming-Jing Yuan
- Department of Radiology, Yongchuan Hospital, Chongqing Medical University, Chongqing, China
| | - Min Gu
- Department of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, China
| | - Peng-Xin Yu
- Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China
| | - Sen He
- Department of Cardiology, West China Hospital of Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Jiayu Sun
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Bin Song
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Department of Radiology, Sanya Municipal People's Hospital, Sanya, Hainan, China
| | - Kang Li
- West China Biomedical Big Data Center, Med-X Center for Informatics, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
- Med-X Center for Informatics, Sichuan University, Chengdu, China.
| | - Yong He
- Department of Cardiology, West China Hospital of Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
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28
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Ünlü S, Özden Ö, Çelik A. Imaging in Heart Failure with Preserved Ejection Fraction: A Multimodality Imaging Point of View. Card Fail Rev 2023; 9:e04. [PMID: 37387734 PMCID: PMC10301698 DOI: 10.15420/cfr.2022.27] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 10/18/2022] [Indexed: 07/01/2023] Open
Abstract
Heart failure with preserved ejection fraction (HFpEF) is an important global health problem. Despite increased prevalence due to improved diagnostic options, limited improvement has been achieved in cardiac outcomes. HFpEF is an extremely complex syndrome and multimodality imaging is important for diagnosis, identifying its different phenotypes and determining prognosis. Evaluation of left ventricular filling pressures using echocardiographic diastolic function parameters is the first step of imaging in clinical practice. The role of echocardiography is becoming more popular and with the recent developments in deformation imaging, cardiac MRI is extremely important as it can provide tissue characterisation, identify fibrosis and optimal volume measurements of cardiac chambers. Nuclear imaging methods can also be used in the diagnosis of specific diseases, such as cardiac amyloidosis.
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Affiliation(s)
- Serkan Ünlü
- Department of Cardiology, Gazi UniversityAnkara, Turkey
| | - Özge Özden
- Cardiology Department, Memorial Bahçelievler HospitalIstanbul, Turkey
| | - Ahmet Çelik
- Department of Cardiology, Mersin UniversityMersin, Turkey
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29
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Novo Matos J, Sargent J, Silva J, Payne JR, Seo J, Spalla I, Borgeat K, Loureiro J, Pereira N, Simcock IC, Hutchinson JC, Arthurs OJ, Luis Fuentes V. Thin and hypokinetic myocardial segments in cats with cardiomyopathy. J Vet Cardiol 2023; 46:5-17. [PMID: 36893525 DOI: 10.1016/j.jvc.2023.02.002] [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: 02/22/2022] [Revised: 01/30/2023] [Accepted: 02/08/2023] [Indexed: 02/12/2023]
Abstract
INTRODUCTION/OBJECTIVES Thin and hypokinetic myocardial segments (THyMS) represent adverse ventricular (LV) remodeling in human hypertrophic cardiomyopathy. We describe the echocardiographic features and outcome in cats with THyMS, and in a subpopulation, the echocardiographic phenotype before LV wall thinning was detected (pre-THyMS). ANIMALS Eighty client-owned cats. MATERIALS AND METHODS Retrospective multicenter study. Clinical records were searched for cats with THyMS, defined as LV segment(s) with end-diastolic wall thickness (LVWT) <3 mm and hypokinesis in the presence of ≥one LV segment(s) with LVWT >4 mm and normal wall motion. When available, echocardiograms pre-THyMS were assessed. Survival time was defined as time from first presentation with THyMS to death. RESULTS Mean thickest LV wall segment (MaxLVWT) was 6.1 mm (95% CI 5.8-6.4 mm) and thinnest (MinLVWT) was 1.7 mm (95% CI 1.6-1.9 mm). The LV free wall was affected in 74%, apex in 13% and septum in 5%. Most cats (85%) presented with heart failure and/or arterial thromboembolism. Median circulating troponin I concentration was 1.4 ng/mL ([range 0.07-180 ng/mL]). Prior echocardiography results were available for 13/80 cats, a mean of 2.5 years pre-THyMS. In segments subsequently undergoing thinning, initial MaxLVWT measured 6.7 mm (95% CI 5.8-7.7 mm) vs. 1.9 mm (95% CI 1.5-2.4 mm) at last echocardiogram (P<0.0001). Survival data were available for 56/80 cats, median survival time after diagnosing THyMS was 153 days (95% CI 83-223 days). Cardiac histopathology in one cat revealed that THyMS was associated with severe transmural scarring. CONCLUSIONS Cats with THyMS had advanced cardiomyopathy and a poor prognosis.
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Affiliation(s)
- J Novo Matos
- Department of Veterinary Medicine, University of Cambridge, Madingley Road, CB3 0ES, Cambridge, UK; Clinical Science and Services, Royal Veterinary College, Hawkshead Lane, Hatfield, Hertfordshire, AL9 7TA, London, UK.
| | - J Sargent
- Southern Counties Veterinary Specialists, Unit 6, Forest Corner Farm, Hangersley, BH24 3JW, Ringwood, Hampshire, UK
| | - J Silva
- Department of Veterinary Medicine, University of Cambridge, Madingley Road, CB3 0ES, Cambridge, UK; North Downs Specialist Referrals, The Friesian Buildings 3 & 4, Brewer Street, RH1 4QP, Bletchingley, Surrey, UK
| | - J R Payne
- Langford Vets Small Animal Referral Hospital, University of Bristol, Langford House, BS40 5DU, Langford, UK
| | - J Seo
- Animal Referral Centre, 224 Albany Highway, Schnapper Rock, 0632, Auckland, New Zealand
| | - I Spalla
- Ospedale Veterinario San Francesco, Via Feltrina, 29, 31038, Castagnole, Milan, Italy
| | - K Borgeat
- Langford Vets Small Animal Referral Hospital, University of Bristol, Langford House, BS40 5DU, Langford, UK
| | - J Loureiro
- North Downs Specialist Referrals, The Friesian Buildings 3 & 4, Brewer Street, RH1 4QP, Bletchingley, Surrey, UK
| | - N Pereira
- Freelance Cardiology, Salstrasse 92, 8400, Winterthur, Switzerland
| | - I C Simcock
- Department of Clinical Radiology, Great Ormond Street Hospital for Children, Great Ormond Street, WC1N 3JH, London, UK; UCL Great Ormond Street Institute of Child Health, Great Ormond Street Hospital for Children, Great Ormond Street, WC1N 3JH, London, UK; NIHR Great Ormond Street Hospital Biomedical Research Centre, Great Ormond Street Hospital Biomedical Research Centre, London, UK
| | - J C Hutchinson
- Department of Clinical Radiology, Great Ormond Street Hospital for Children, Great Ormond Street, WC1N 3JH, London, UK; UCL Great Ormond Street Institute of Child Health, Great Ormond Street Hospital for Children, Great Ormond Street, WC1N 3JH, London, UK; NIHR Great Ormond Street Hospital Biomedical Research Centre, Great Ormond Street Hospital Biomedical Research Centre, London, UK
| | - O J Arthurs
- Department of Clinical Radiology, Great Ormond Street Hospital for Children, Great Ormond Street, WC1N 3JH, London, UK; UCL Great Ormond Street Institute of Child Health, Great Ormond Street Hospital for Children, Great Ormond Street, WC1N 3JH, London, UK; NIHR Great Ormond Street Hospital Biomedical Research Centre, Great Ormond Street Hospital Biomedical Research Centre, London, UK
| | - V Luis Fuentes
- Clinical Science and Services, Royal Veterinary College, Hawkshead Lane, Hatfield, Hertfordshire, AL9 7TA, London, UK
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Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right…on Time. LIFE (BASEL, SWITZERLAND) 2023; 13:life13010171. [PMID: 36676118 PMCID: PMC9863627 DOI: 10.3390/life13010171] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/25/2022] [Accepted: 12/29/2022] [Indexed: 01/09/2023]
Abstract
Hypertrophic cardiomyopathy (HCM) follows highly variable paradigms and disease-specific patterns of progression towards heart failure, arrhythmias and sudden cardiac death. Therefore, a generalized standard approach, shared with other cardiomyopathies, can be misleading in this setting. A multimodality imaging approach facilitates differential diagnosis of phenocopies and improves clinical and therapeutic management of the disease. However, only a profound knowledge of the progression patterns, including clinical features and imaging data, enables an appropriate use of all these resources in clinical practice. Combinations of various imaging tools and novel techniques of artificial intelligence have a potentially relevant role in diagnosis, clinical management and definition of prognosis. Nonetheless, several barriers persist such as unclear appropriate timing of imaging or universal standardization of measures and normal reference limits. This review provides an overview of the current knowledge on multimodality imaging and potentialities of novel tools, including artificial intelligence, in the management of patients with sarcomeric HCM, highlighting the importance of specific "red alerts" to understand the phenotype-genotype linkage.
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31
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Anzai I, Hayashi H, Nguyen S, Vedula V, Leb JS, Shimada YJ, Weiner SD, Takayama H. The Septal Band: How Imaging and 3-Dimensional Printing Guides Septal Myectomy. INNOVATIONS-TECHNOLOGY AND TECHNIQUES IN CARDIOTHORACIC AND VASCULAR SURGERY 2023; 18:11-15. [PMID: 36397296 DOI: 10.1177/15569845221120039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Affiliation(s)
- Isao Anzai
- Division of Cardiothoracic and Vascular Surgery, New York Presbyterian Hospital, Columbia University Medical Center, New York, NY, USA
| | - Hideyuki Hayashi
- Division of Cardiothoracic and Vascular Surgery, New York Presbyterian Hospital, Columbia University Medical Center, New York, NY, USA
| | - Stephanie Nguyen
- Division of Cardiothoracic and Vascular Surgery, New York Presbyterian Hospital, Columbia University Medical Center, New York, NY, USA
| | - Vijay Vedula
- Department of Mechanical Engineering, Columbia University, New York, NY, USA
| | - Jay S Leb
- Department of Radiology, New York Presbyterian Hospital, Columbia University Medical Center, New York, NY, USA
| | - Yuichi J Shimada
- Department of Medicine, Division of Cardiology, New York Presbyterian Hospital, Columbia University Medical Center, New York, NY, USA
| | - Shepard D Weiner
- Department of Medicine, Division of Cardiology, New York Presbyterian Hospital, Columbia University Medical Center, New York, NY, USA
| | - Hiroo Takayama
- Division of Cardiothoracic and Vascular Surgery, New York Presbyterian Hospital, Columbia University Medical Center, New York, NY, USA
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32
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Pelliccia F, Cecchi F, Olivotto I, Camici PG. Microvascular Dysfunction in Hypertrophic Cardiomyopathy. J Clin Med 2022; 11:jcm11216560. [PMID: 36362787 PMCID: PMC9658510 DOI: 10.3390/jcm11216560] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 10/31/2022] [Accepted: 11/03/2022] [Indexed: 11/10/2022] Open
Abstract
Myocardial ischemia is an established pathophysiological feature of hypertrophic cardiomyopathy (HCM) that impacts various clinical features, including heart failure (HF) and sudden cardiac death (SCD). The major determinant of myocardial ischemia in HCM is coronary microvascular dysfunction (CMD) in the absence of epicardial coronary artery abnormalities. Despite the impossibility to directly visualize microcirculation in vivo, a multimodality approach can allow a detailed assessment of microvascular dysfunction and ischemia. Accordingly, the non-invasive assessment of CMD using transthoracic Doppler echocardiography, positron emission tomography, and cardiac magnetic resonance should now be considered mandatory in any HCM patient. Noteworthy, a complete diagnostic work-up for myocardial ischemia plays a major role in the approach of the patients with HCM and their risk stratification. Chronic and recurrent episodes of ischemia can contribute to fibrosis, culminating in LV remodeling and HF. Ischemia can potentially constitute an arrhythmic substrate and might prove to have an added value in risk stratification for SCD. Accordingly, strategies for the early diagnosis of CMD should now be considered an important challenge for the scientific community.
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Affiliation(s)
- Francesco Pelliccia
- Department of Cardiovascular Sciences, Sapienza University, 00166 Rome, Italy
- Correspondence:
| | - Franco Cecchi
- IRCCS Istituto Auxologico Italiano, Department of Cardiovascular, Neural and Metabolic Sciences, San Luca Hospital, 20100 Milan, Italy
| | - Iacopo Olivotto
- Department of Experimental and Clinical Medicine, University of Florence, Meyer Children Hospital and Careggi University Hospital, 50123 Florence, Italy
| | - Paolo G. Camici
- San Raffaele Hospital, Vita-Salute University, 20121 Milan, Italy
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Pálinkás ED, Re F, Peteiro J, Tesic M, Pálinkás A, Torres MAR, Dikic AD, Beleslin B, Van De Heyning CM, D’Alfonso MG, Mori F, Ciampi Q, de Castro Silva Pretto JL, Simova I, Nagy V, Boda K, Sepp R, Olivotto I, Pellikka PA, Picano E. Pulmonary congestion during Exercise stress Echocardiography in Hypertrophic Cardiomyopathy. Int J Cardiovasc Imaging 2022; 38:2593-2604. [DOI: 10.1007/s10554-022-02620-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 04/09/2022] [Indexed: 11/30/2022]
Abstract
Abstract
Background
B-lines detected by lung ultrasound (LUS) during exercise stress echocardiography (ESE), indicating pulmonary congestion, have not been systematically evaluated in patients with hypertrophic cardiomyopathy (HCM).
Aim
To assess the clinical, anatomical and functional correlates of pulmonary congestion elicited by exercise in HCM.
Methods
We enrolled 128 HCM patients (age 52 ± 15 years, 72 males) consecutively referred for ESE (treadmill in 46, bicycle in 82 patients) in 10 quality-controlled centers from 7 countries (Belgium, Brazil, Bulgaria, Hungary, Italy, Serbia, Spain). ESE assessment at rest and peak stress included: mitral regurgitation (MR, score from 0 to 3); E/e’; systolic pulmonary arterial pressure (SPAP) and end-diastolic volume (EDV). Change from rest to stress was calculated for each variable. Reduced preload reserve was defined by a decrease in EDV during exercise. B-lines at rest and at peak exercise were assessed by lung ultrasound with the 4-site simplified scan. B-lines positivity was considered if the sum of detected B-lines was ≥ 2.
Results
LUS was feasible in all subjects. B-lines were present in 13 patients at rest and in 38 during stress (10 vs 30%, p < 0.0001). When compared to patients without stress B-lines (n = 90), patients with B-lines (n = 38) had higher resting E/e’ (14 ± 6 vs. 11 ± 4, p = 0.016) and SPAP (33 ± 10 vs. 27 ± 7 mm Hg p = 0.002). At peak exercise, patients with B-lines had higher peak E/e’ (17 ± 6 vs. 13 ± 5 p = 0.003) and stress SPAP (55 ± 18 vs. 40 ± 12 mm Hg p < 0.0001), reduced preload reserve (68 vs. 30%, p = 0.001) and an increase in MR (42 vs. 17%, p = 0.013) compared to patients without congestion. Among baseline parameters, the number of B-lines and SPAP were the only independent predictors of exercise pulmonary congestion.
Conclusions
Two-thirds of HCM patients who develop pulmonary congestion on exercise had no evidence of B-lines at rest. Diastolic impairment and mitral regurgitation were key determinants of pulmonary congestion during ESE. These findings underscore the importance of evaluating hemodynamic stability by physiological stress in HCM, particularly in the presence of unexplained symptoms and functional limitation.
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Zhu Y, Ma J, Zhang Z, Zhang Y, Zhu S, Liu M, Zhang Z, Wu C, Yang X, Cheng J, Ni D, Xie M, Xue W, Zhang L. Automatic view classification of contrast and non-contrast echocardiography. Front Cardiovasc Med 2022; 9:989091. [PMID: 36186996 PMCID: PMC9515903 DOI: 10.3389/fcvm.2022.989091] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 08/22/2022] [Indexed: 12/04/2022] Open
Abstract
Background Contrast and non-contrast echocardiography are crucial for cardiovascular diagnoses and treatments. Correct view classification is a foundational step for the analysis of cardiac structure and function. View classification from all sequences of a patient is laborious and depends heavily on the sonographer's experience. In addition, the intra-view variability and the inter-view similarity increase the difficulty in identifying critical views in contrast and non-contrast echocardiography. This study aims to develop a deep residual convolutional neural network (CNN) to automatically identify multiple views of contrast and non-contrast echocardiography, including parasternal left ventricular short axis, apical two, three, and four-chamber views. Methods The study retrospectively analyzed a cohort of 855 patients who had undergone left ventricular opacification at the Department of Ultrasound Medicine, Wuhan Union Medical College Hospital from 2013 to 2021, including 70.3% men and 29.7% women aged from 41 to 62 (median age, 53). All datasets were preprocessed to remove sensitive information and 10 frames with equivalent intervals were sampled from each of the original videos. The number of frames in the training, validation, and test datasets were, respectively, 19,370, 2,370, and 2,620 from 9 views, corresponding to 688, 84, and 83 patients. We presented the CNN model to classify echocardiographic views with an initial learning rate of 0.001, and a batch size of 4 for 30 epochs. The learning rate was decayed by a factor of 0.9 per epoch. Results On the test dataset, the overall classification accuracy is 99.1 and 99.5% for contrast and non-contrast echocardiographic views. The average precision, recall, specificity, and F1 score are 96.9, 96.9, 100, and 96.9% for the 9 echocardiographic views. Conclusions This study highlights the potential of CNN in the view classification of echocardiograms with and without contrast. It shows promise in improving the workflow of clinical analysis of echocardiography.
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Affiliation(s)
- Ye Zhu
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Junqiang Ma
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen, China
- School of Biomedical Engineering, Health Science Center, Shenzhen University and Medical Ultrasound Image Computing (MUSIC) Lab, Shenzhen, China
| | - Zisang Zhang
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yiwei Zhang
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Shuangshuang Zhu
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Manwei Liu
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Ziming Zhang
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Chun Wu
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Xin Yang
- Media and Communication Lab (MC Lab), Electronics and Information Engineering Department, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Cheng
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen, China
- School of Biomedical Engineering, Health Science Center, Shenzhen University and Medical Ultrasound Image Computing (MUSIC) Lab, Shenzhen, China
| | - Dong Ni
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen, China
- School of Biomedical Engineering, Health Science Center, Shenzhen University and Medical Ultrasound Image Computing (MUSIC) Lab, Shenzhen, China
| | - Mingxing Xie
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Wufeng Xue
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen, China
- School of Biomedical Engineering, Health Science Center, Shenzhen University and Medical Ultrasound Image Computing (MUSIC) Lab, Shenzhen, China
| | - Li Zhang
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
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Zemánek D, Januška J, Honěk T, Čurila K, Kubánek M, Šindelářová Š, Zahálková L, Klofáč P, Laštůvková E, Lichnerová E, Aiglová R, Lhotský J, Vondrák J, Dostálová G, Táborský M, Kasper D, Linhart A. Nationwide screening of Fabry disease in patients with hypertrophic cardiomyopathy in Czech Republic. ESC Heart Fail 2022; 9:4160-4166. [PMID: 36087038 PMCID: PMC9773751 DOI: 10.1002/ehf2.14135] [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: 03/11/2022] [Revised: 06/17/2022] [Accepted: 08/29/2022] [Indexed: 01/19/2023] Open
Abstract
AIMS Fabry disease (FD) is a rare X-linked genetic disorder caused by α-galactosidase A (AGALA) deficiency. Whereas 'classic' variant has multisystemic manifestation, the more recently described 'later-onset' variant is characterized by predominant cardiac involvement that often mimics hypertrophic cardiomyopathy (HCM). METHODS AND RESULTS Consecutive unrelated patients with HCM were screened for FD in 16 (out of 17) cardiac centres in the Czech Republic covering specialized cardiology care from June 2017 to December 2018. AGALA activity and globotriaosylsphingosine (lyso-Gb3 ) levels were measured in all subjects using the dry blood spot method. FD was suspected in male patients with AGALA activity <1.2 μmol/h/L and in females with either low AGALA activity or lyso-Gb3 > 3.5 ng/mL. Positive screening results were confirmed by genetic testing. We evaluated 589 patients (390 males, 66%) with HCM (mean maximal myocardial thickness 19.1 ± 4.3 mm). The average age was 58.4 ± 14.7 years. In total, 17 patients (11 males, 6 females) had a positive screening result, and subsequently, six of them (four males and two females) had a genetically confirmed pathogenic GLA mutation (total prevalence of 1.02%). Five of these patients were carrying the p.N215S mutation known to cause a typical later-onset cardiac FD. CONCLUSIONS We confirmed the prevalence of FD repeatedly reported in previous screening programmes (approximately 1% irrespective of gender) in a non-selected HCM population in Central Europe. Our findings advocate a routine screening for FD in all adult patients with HCM phenotype including both genders. The dry blood spot method used led to identification of clearly pathogenic variants.
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Affiliation(s)
- David Zemánek
- 2nd Department of Internal Medicine Cardiology and AngiologyGeneral University Hospital and 1st Faculty of Medicine of Charles UniversityPragueCzech Republic
| | | | - Tomáš Honěk
- 1st Department of Internal Medicine ‐ CardioangiologySt Anne's University Hospital and Masaryk UniversityBrnoCzech Republic
| | - Karol Čurila
- Department of Cardiology, 3rd Faculty of MedicineCharles University and University Hospital Kralovské VinohradyPragueCzech Republic
| | - Miloš Kubánek
- Department of CardiologyInstitute for Clinical and Experimental MedicinePragueCzech Republic
| | | | - Lucie Zahálková
- 1st Department of Medicine ‐ CardioangiologyCharles University Faculty of Medicine and University HospitalHradec KrálovéCzech Republic
| | - Petr Klofáč
- Department of CardiologyRegional Hospital LiberecLiberecCzech Republic
| | | | - Eva Lichnerová
- Department of Cardiovascular DiseaseUniversity Hospital in OstravaOstravaCzech Republic
| | - Renata Aiglová
- Department of Internal Medicine I ‐ Cardiology, Faculty of Medicine and DentistryPalacký University and University Hospital OlomoucOlomoucCzech Republic
| | - Jan Lhotský
- Department of Cardiology, University Hospital and Faculty of Medicine PilsenCharles UniversityPragueCzech Republic
| | - Jiří Vondrák
- Department of Cardiology, Regional Hospital Pardubice and Faculty of Health StudiesUniversity of PardubicePardubiceCzech Republic
| | - Gabriela Dostálová
- 2nd Department of Internal Medicine Cardiology and AngiologyGeneral University Hospital and 1st Faculty of Medicine of Charles UniversityPragueCzech Republic
| | - Miloš Táborský
- Department of Internal Medicine I ‐ Cardiology, Faculty of Medicine and DentistryPalacký University and University Hospital OlomoucOlomoucCzech Republic
| | | | - Aleš Linhart
- 2nd Department of Internal Medicine Cardiology and AngiologyGeneral University Hospital and 1st Faculty of Medicine of Charles UniversityPragueCzech Republic
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36
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Verheul LM, Groeneveld SA, Kirkels FP, Volders PGA, Teske AJ, Cramer MJ, Guglielmo M, Hassink RJ. State-of-the-Art Multimodality Imaging in Sudden Cardiac Arrest with Focus on Idiopathic Ventricular Fibrillation: A Review. J Clin Med 2022; 11:4680. [PMID: 36012918 PMCID: PMC9410297 DOI: 10.3390/jcm11164680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/01/2022] [Accepted: 08/05/2022] [Indexed: 11/16/2022] Open
Abstract
Idiopathic ventricular fibrillation is a rare cause of sudden cardiac arrest and a diagnosis by exclusion. Unraveling the mechanism of ventricular fibrillation is important for targeted management, and potentially for initiating family screening. Sudden cardiac arrest survivors undergo extensive clinical testing, with a growing role for multimodality imaging, before diagnosing "idiopathic" ventricular fibrillation. Multimodality imaging, considered as using multiple imaging modalities as diagnostics, is important for revealing structural myocardial abnormalities in patients with cardiac arrest. This review focuses on combining imaging modalities (echocardiography, cardiac magnetic resonance and computed tomography) and the electrocardiographic characterization of sudden cardiac arrest survivors and discusses the surplus value of multimodality imaging in the diagnostic routing of these patients. We focus on novel insights obtained through electrostructural and/or electromechanical imaging in apparently idiopathic ventricular fibrillation patients, with special attention to non-invasive electrocardiographic imaging.
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Affiliation(s)
- Lisa M. Verheul
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Sanne A. Groeneveld
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Feddo P. Kirkels
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Paul G. A. Volders
- Department of Cardiology, Maastricht University Medical Center, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands
| | - Arco J. Teske
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Maarten J. Cramer
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Marco Guglielmo
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Rutger J. Hassink
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
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37
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Zhan J, Zhong L, Wu J. Assessment and Treatment for Coronary Microvascular Dysfunction by Contrast Enhanced Ultrasound. Front Cardiovasc Med 2022; 9:899099. [PMID: 35795368 PMCID: PMC9251174 DOI: 10.3389/fcvm.2022.899099] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 05/26/2022] [Indexed: 11/17/2022] Open
Abstract
With growing evidence in clinical practice, the understanding of coronary syndromes has gradually evolved out of focusing on the well-established link between stenosis of epicardial coronary artery and myocardial ischemia to the structural and functional abnormalities at the level of coronary microcirculation, known as coronary microvascular dysfunction (CMD). CMD encompasses several pathophysiological mechanisms of coronary microcirculation and is considered as an important cause of myocardial ischemia in patients with angina symptoms without obstructive coronary artery disease (CAD). As a result of growing knowledge of the understanding of CMD assessed by multiple non-invasive modalities, CMD has also been found to be involved in other cardiovascular diseases, including primary cardiomyopathies as well as heart failure with preserved ejection fraction (HFpEF). In the past 2 decades, almost all the imaging modalities have been used to non-invasively quantify myocardial blood flow (MBF) and promote a better understanding of CMD. Myocardial contrast echocardiography (MCE) is a breakthrough as a non-invasive technique, which enables assessment of myocardial perfusion and quantification of MBF, exhibiting promising diagnostic performances that were comparable to other non-invasive techniques. With unique advantages over other non-invasive techniques, MCE has gradually developed into a novel modality for assessment of the coronary microvasculature, which may provide novel insights into the pathophysiological role of CMD in different clinical conditions. Moreover, the sonothrombolysis and the application of artificial intelligence (AI) will offer the opportunity to extend the use of contrast ultrasound theragnostics.
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38
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Huurman R, van der Velde N, Schinkel AF, Hassing HC, Budde RP, van Slegtenhorst MA, Verhagen JM, Hirsch A, Michels M. Contemporary family screening in hypertrophic cardiomyopathy: the role of cardiovascular magnetic resonance. Eur Heart J Cardiovasc Imaging 2022; 23:1144-1154. [PMID: 35670722 PMCID: PMC9365305 DOI: 10.1093/ehjci/jeac099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 04/29/2022] [Accepted: 05/05/2022] [Indexed: 01/09/2023] Open
Abstract
Aims Genetic testing in relatives of hypertrophic cardiomyopathy (HCM) patients leads to early identification of pathogenic DNA variant carriers (G+), before the onset of left ventricular hypertrophy. Routine phenotyping consists of electrocardiography (ECG) and transthoracic echocardiography (TTE). Cardiovascular magnetic resonance (CMR) has become valuable in the work-up of HCM. In this study, we investigated the value of CMR in phenotyping of G+ family members. Methods and results This study included 91 G+ subjects who underwent ECG, TTE and CMR, with a maximal wall thickness (MWT) <15 mm on TTE. The relative performance of TTE and CMR regarding wall thickness measurements and HCM diagnoses was assessed. HCM was defined as MWT of ≥13 mm. Logistic regression was performed to assess whether ECG and TTE parameters can predict CMR results. Most subjects (75%) had an MWT <13 mm on TTE, of which 23 (34%) were diagnosed with HCM based on CMR. MWT differences (range 1–10 mm) were often caused by an anterobasal hook-shaped thickening of the myocardium not visible on TTE. Two of 23 (9%) subjects with HCM on TTE were reclassified as no HCM on CMR. Normal ECG and TTE results almost excluded reclassifications by CMR. The prevalence of other HCM-related abnormalities on CMR was low. Conclusion CMR reclassified 27% of subjects. Subjects with normal ECG/TTE results were reclassified in a low number of cases, justifying screening with ECG and TTE in G+ relatives. In subjects with abnormal ECGs and/or poor TTE image quality, CMR is indicated.
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Affiliation(s)
- Roy Huurman
- Department of Cardiology, Room Rg-419, Thoraxcenter, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, Rotterdam 3015 GD, The Netherlands
| | - Nikki van der Velde
- Department of Cardiology, Room Rg-419, Thoraxcenter, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, Rotterdam 3015 GD, The Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3015 GD, The Netherlands
| | - Arend Fl Schinkel
- Department of Cardiology, Room Rg-419, Thoraxcenter, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, Rotterdam 3015 GD, The Netherlands
| | - H Carlijne Hassing
- Department of Cardiology, Room Rg-419, Thoraxcenter, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, Rotterdam 3015 GD, The Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3015 GD, The Netherlands
| | - Ricardo Pj Budde
- Department of Cardiology, Room Rg-419, Thoraxcenter, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, Rotterdam 3015 GD, The Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3015 GD, The Netherlands
| | - Marjon A van Slegtenhorst
- Department of Clinical Genetics, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3015 GD, The Netherlands
| | - Judith Ma Verhagen
- Department of Clinical Genetics, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3015 GD, The Netherlands
| | - Alexander Hirsch
- Department of Cardiology, Room Rg-419, Thoraxcenter, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, Rotterdam 3015 GD, The Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3015 GD, The Netherlands
| | - Michelle Michels
- Department of Cardiology, Room Rg-419, Thoraxcenter, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, Rotterdam 3015 GD, The Netherlands
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39
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Uncovering hypertrophic cardiomyopathy pathophysiology – the unsolved role of microvascular dysfunction. Rev Port Cardiol 2022; 41:569-571. [DOI: 10.1016/j.repc.2022.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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40
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Mandeş L, Roşca M, Ciupercă D, Călin A, Beladan CC, Enache R, Cuculici A, Băicuş C, Jurcuţ R, Ginghină C, Popescu BA. Electrocardiographic and Echocardiographic Predictors of Atrial Fibrillation in Patients With Hypertrophic Cardiomyopathy. Front Cardiovasc Med 2022; 9:905128. [PMID: 35711369 PMCID: PMC9196883 DOI: 10.3389/fcvm.2022.905128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 05/09/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundPatients with hypertrophic cardiomyopathy (HCM) have an increased prevalence of atrial fibrillation (AF) compared to the general population, and left atrium (LA) remodeling is strongly correlated with the risk of AF. This prospective, monocentric study aimed to assess the role of LA electrocardiographic and echocardiographic (structural and functional) parameters in predicting the risk for incident AF in patients with HCM.Methods and ResultsThe study population consisted of 126 HCM patients in sinus rhythm (52.6 ± 16.2 years, 54 men), 118 of them without documented AF. During a median follow-up of 56 (7–124) months, 39 (30.9%) developed a new episode of AF. Multivariable analysis showed that LA booster pump function (assessed by ASr, HR = 4.24, CI = 1.84–9.75, and p = 0.038) and electrical dispersion (assessed by P wave dispersion – Pd, HR = 1.044, CI = 1.029–1.058, and p = 0.001), and not structural parameters (LA diameter, LA volume) were independent predictors of incident AF. Seventy-two patients had a LA diameter < 45 mm, and 16 of them (22.2%) had an AF episode during follow-up. In this subgroup, only Pd emerged as an independent predictor for incident AF (HR = 1.105, CI = 1.059–1.154, and p = 0.002), with good accuracy (AUC = 0.89).ConclusionLeft atrium booster pump function (ASr) and electrical dispersion (Pd) are related to the risk of incident AF in HCM patients. These parameters can provide further stratification of the risk for AF in this setting, including in patients considered at lower risk for AF based on the conventional assessment of LA size.
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Affiliation(s)
- Leonard Mandeş
- Cardiology Department, University of Medicine and Pharmacy “Carol Davila”- Euroecolab, Bucharest, Romania
- Emergency Institute for Cardiovascular Diseases “Prof. Dr. C. C. Iliescu,” Bucharest, Romania
| | - Monica Roşca
- Cardiology Department, University of Medicine and Pharmacy “Carol Davila”- Euroecolab, Bucharest, Romania
- Emergency Institute for Cardiovascular Diseases “Prof. Dr. C. C. Iliescu,” Bucharest, Romania
| | - Daniela Ciupercă
- Cardiology Department, University of Medicine and Pharmacy “Carol Davila”- Euroecolab, Bucharest, Romania
| | - Andreea Călin
- Cardiology Department, University of Medicine and Pharmacy “Carol Davila”- Euroecolab, Bucharest, Romania
- Emergency Institute for Cardiovascular Diseases “Prof. Dr. C. C. Iliescu,” Bucharest, Romania
| | - Carmen C. Beladan
- Cardiology Department, University of Medicine and Pharmacy “Carol Davila”- Euroecolab, Bucharest, Romania
- Emergency Institute for Cardiovascular Diseases “Prof. Dr. C. C. Iliescu,” Bucharest, Romania
| | - Roxana Enache
- Cardiology Department, University of Medicine and Pharmacy “Carol Davila”- Euroecolab, Bucharest, Romania
- Emergency Institute for Cardiovascular Diseases “Prof. Dr. C. C. Iliescu,” Bucharest, Romania
| | - Andreea Cuculici
- Cardiology Department, University of Medicine and Pharmacy “Carol Davila”- Euroecolab, Bucharest, Romania
- Emergency Institute for Cardiovascular Diseases “Prof. Dr. C. C. Iliescu,” Bucharest, Romania
| | - Cristian Băicuş
- Cardiology Department, University of Medicine and Pharmacy “Carol Davila”- Euroecolab, Bucharest, Romania
| | - Ruxandra Jurcuţ
- Cardiology Department, University of Medicine and Pharmacy “Carol Davila”- Euroecolab, Bucharest, Romania
- Emergency Institute for Cardiovascular Diseases “Prof. Dr. C. C. Iliescu,” Bucharest, Romania
| | - Carmen Ginghină
- Cardiology Department, University of Medicine and Pharmacy “Carol Davila”- Euroecolab, Bucharest, Romania
- Emergency Institute for Cardiovascular Diseases “Prof. Dr. C. C. Iliescu,” Bucharest, Romania
| | - Bogdan A. Popescu
- Cardiology Department, University of Medicine and Pharmacy “Carol Davila”- Euroecolab, Bucharest, Romania
- Emergency Institute for Cardiovascular Diseases “Prof. Dr. C. C. Iliescu,” Bucharest, Romania
- *Correspondence: Bogdan A. Popescu,
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41
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Kitai T, Xanthopoulos A, Nakagawa S, Ishii N, Amano M, Triposkiadis F, Izumi C. Contemporary Diagnosis and Management of Hypertrophic Cardiomyopathy: The Role of Echocardiography and Multimodality Imaging. J Cardiovasc Dev Dis 2022; 9:169. [PMID: 35735798 PMCID: PMC9224724 DOI: 10.3390/jcdd9060169] [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] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 05/15/2022] [Accepted: 05/16/2022] [Indexed: 01/27/2023] Open
Abstract
Hypertrophic cardiomyopathy (HCM) is an underdiagnosed genetic heart disease with an estimated prevalence of 0.2-0.5%. Although the prognosis of HCM is relatively good, with an annual general mortality of ~0.7%, some patients have an increased risk of sudden death, or of developing severe heart failure requiring heart transplantation or left ventricular (LV) assist device therapy. Therefore, earlier diagnosis and proper identification of high-risk patients may reduce disease-related morbidity/mortality by promoting timely treatment. Echocardiography is the primary imaging modality for patients with suspected HCM; it plays central roles in differential diagnosis from other causes of LV hypertrophy and in evaluating morphology, hemodynamic disturbances, LV function, and associated valvular disease. Echocardiography is also an essential tool for the continuous clinical management of patients with confirmed HCM. Other imaging modalities, such as cardiac computed tomography (CT) and cardiac magnetic resonance imaging (MRI), can supplement echocardiography in identifying high-risk as well as milder HCM phenotypes. The role of such multimodality imaging has been steadily expanding along with recent advancements in surgical techniques and minimally invasive procedures, and the emergence of novel pharmacotherapies directly targeting pathogenic molecules such as myosin inhibitors. Here we review essential knowledge surrounding HCM with a specific focus on structural and functional abnormalities assessed by imaging modalities, leading to treatment strategies.
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Affiliation(s)
- Takeshi Kitai
- National Cerebral and Cardiovascular Center, Department of Cardiovascular Medicine, Suita 564-8565, Japan; (S.N.); (N.I.); (M.A.); (C.I.)
| | - Andrew Xanthopoulos
- Department of Cardiology, University Hospital of Larissa, 41110 Larissa, Greece; (A.X.); (F.T.)
| | - Shoko Nakagawa
- National Cerebral and Cardiovascular Center, Department of Cardiovascular Medicine, Suita 564-8565, Japan; (S.N.); (N.I.); (M.A.); (C.I.)
| | - Natsuko Ishii
- National Cerebral and Cardiovascular Center, Department of Cardiovascular Medicine, Suita 564-8565, Japan; (S.N.); (N.I.); (M.A.); (C.I.)
| | - Masashi Amano
- National Cerebral and Cardiovascular Center, Department of Cardiovascular Medicine, Suita 564-8565, Japan; (S.N.); (N.I.); (M.A.); (C.I.)
| | - Filippos Triposkiadis
- Department of Cardiology, University Hospital of Larissa, 41110 Larissa, Greece; (A.X.); (F.T.)
| | - Chisato Izumi
- National Cerebral and Cardiovascular Center, Department of Cardiovascular Medicine, Suita 564-8565, Japan; (S.N.); (N.I.); (M.A.); (C.I.)
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Tang L, Li X, Zhou N, Jiang Y, Pan C, Shu X. Echocardiographic characteristics of PRKAG2 syndrome: a research using three-dimensional speckle tracking echocardiography compared with sarcomeric hypertrophic cardiomyopathy. Cardiovasc Ultrasound 2022; 20:14. [PMID: 35509080 PMCID: PMC9069802 DOI: 10.1186/s12947-022-00284-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/26/2022] [Indexed: 11/25/2022] Open
Abstract
Background PRKAG2 syndrome is a rare disease characterized as left ventricular hypertrophy (LVH), ventricular preexcitation syndrome, and sudden cardiac death. Its natural course, treatment, and prognosis were significantly different from sarcomeric hypertrophic cardiomyopathy (HCM). However, it is often clinically misdiagnosed as sarcomeric HCM. PRKAG2 patients tend to experience delayed treatment. The delay may lead to adverse outcomes. This study aimed to identify the echocardiographic parameters which can differentiate PRKAG2 syndrome from sarcomeric HCM. Methods Nine PRKAG2 patients with LVH, 41 HCM patients with sarcomere gene mutations, and 202 healthy volunteers were enrolled. Clinical characteristics, conventional echocardiography, and three-dimensional images were recorded, and reviewed by an attending cardiologist. We evaluated the parameters of left ventricular strains from three-dimensional speckle tracking echocardiography (3D STE) by TomTec software. Receiver operating characteristic (ROC) curves analysis was used to assess clinical and echocardiographic parameters’ differential diagnosis potential. Results The heart rate (HR) of the PRKAG2 group was significantly lower than both the healthy group (53.11 ± 10.14 vs. 69.22 ± 10.48 bpm, P < 0.001) and the sarcomeric HCM group (53.11 ± 10.14 vs. 67.23 ± 10.32 bpm, P = 0.001). The PRKAG2 group had similar interventricular septal thickness (IVS), posterior wall thickness (PWT), and maximum wall thickness (MWT) to the HCM group (P > 0.05). The absolute value of GLS in the PRKAG2 group was significantly higher than HCM patients (-18.92 ± 4.98 vs. -13.43 ± 4.30%, P = 0.004). SV calculated from EDV and ESV in PRKAG2 syndrome showed a higher value than sarcomeric HCM (61.83 ± 13.52 vs. 44.96 ± 17.53%, P = 0.020). The area under the ROC curve (AUC) for HR + GLS was 0.911 (0.803 -1). For HR + GLS, the sensitivity and specificity of the best cut-off value (0.114) were 69.0% and 100%, respectively. Conclusions PRKAG2 patients present deteriorated LV diastolic function and preserved LV systolic function. Bradycardia and preserved GLS are useful to identify PRKAG2 syndrome from sarcomeric HCM, which may be beneficial for clinical decision-making. Supplementary Information The online version contains supplementary material available at 10.1186/s12947-022-00284-3.
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Affiliation(s)
- Lu Tang
- Department of Echocardiography, Zhongshan Hospital, Shanghai Institute of Cardiovascular Diseases, Shanghai Institute of Medical Imaging, Fudan University, Shanghai, China
| | - Xuejie Li
- Department of Echocardiography, Zhongshan Hospital, Shanghai Institute of Cardiovascular Diseases, Shanghai Institute of Medical Imaging, Fudan University, Shanghai, China
| | - Nianwei Zhou
- Department of Echocardiography, Zhongshan Hospital, Shanghai Institute of Cardiovascular Diseases, Shanghai Institute of Medical Imaging, Fudan University, Shanghai, China
| | - Yingying Jiang
- Department of Echocardiography, Zhongshan Hospital, Shanghai Institute of Cardiovascular Diseases, Shanghai Institute of Medical Imaging, Fudan University, Shanghai, China
| | - Cuizhen Pan
- Department of Echocardiography, Zhongshan Hospital, Shanghai Institute of Cardiovascular Diseases, Shanghai Institute of Medical Imaging, Fudan University, Shanghai, China
| | - Xianhong Shu
- Department of Echocardiography, Zhongshan Hospital, Shanghai Institute of Cardiovascular Diseases, Shanghai Institute of Medical Imaging, Fudan University, Shanghai, China.
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Toste A. Advances in hypertrophic cardiomyopathy: What the cardiologist needs to know. Rev Port Cardiol 2022; 41:499-509. [DOI: 10.1016/j.repc.2021.05.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 04/19/2021] [Accepted: 05/10/2021] [Indexed: 10/18/2022] Open
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Sozzi FB, Iacuzio L, Belmonte M, Schiavone M, Bursi F, Gherbesi E, Levy F, Canetta C, Carugo S. Early diagnosis of cardiomyopathies by cardiac magnetic resonance. Overview of the main criteria. Monaldi Arch Chest Dis 2022; 92. [PMID: 35416001 DOI: 10.4081/monaldi.2022.2151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 03/15/2022] [Indexed: 01/05/2023] Open
Abstract
Cardiomyopathies (CMPs) are diseases of the heart muscle. They include a variety of myocardial disorders that manifest with various structural and functional phenotypes and are frequently genetic. Myocardial disease caused by known cardiovascular causes (such as hypertension, ischemic heart disease, or valvular disease) should be distinguished from CMPs for classification and management purposes. Identification of various CMP phenotypes relies primarily upon echocardiographic evaluation. In selected cases, cardiac magnetic resonance imaging (CMR) or computed tomography may be useful to identify and localize fatty infiltration, inflammation, scar/fibrosis, focal hypertrophy, and better visualize the left ventricular apex and right ventricle. CMR imaging has emerged as a comprehensive tool for the diagnosis and follow-up of patients with CMPs. The accuracy and reproducibility in evaluating cardiac structures, the unique ability of non-invasive tissue characterization and the lack of ionizing radiation, make CMR very attractive as a potential "all-in-one technique". Indeed, it provides valuable data to confirm or establish the diagnosis, screen subclinical cases, identify aetiology, establish the prognosis. Additionally, it provides information for setting a risk stratification (based on evaluation of proved independent prognostic factors as ejection fraction, end-systolic-volume, myocardial fibrosis) and follow-up. Last, it helps to monitor the response to the therapy. In this review, the pivotal role of CMR in the comprehensive evaluation of patients with CMP is discussed, highlighting the key features guiding differential diagnosis and the assessment of prognosis.
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Affiliation(s)
- Fabiola B Sozzi
- Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan.
| | | | - Marta Belmonte
- Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan.
| | | | - Francesca Bursi
- Division of Cardiology, Department of Health Sciences, San Paolo Hospital, University of Milan.
| | - Elisa Gherbesi
- Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan.
| | | | - Ciro Canetta
- Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan.
| | - Stefano Carugo
- Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan.
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45
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Pontone G, Rossi A, Guglielmo M, Dweck MR, Gaemperli O, Nieman K, Pugliese F, Maurovich-Horvat P, Gimelli A, Cosyns B, Achenbach S. Clinical applications of cardiac computed tomography: a consensus paper of the European Association of Cardiovascular Imaging-part II. Eur Heart J Cardiovasc Imaging 2022; 23:e136-e161. [PMID: 35175348 PMCID: PMC8944330 DOI: 10.1093/ehjci/jeab292] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 12/28/2021] [Indexed: 11/12/2022] Open
Abstract
Cardiac computed tomography (CT) was initially developed as a non-invasive diagnostic tool to detect and quantify coronary stenosis. Thanks to the rapid technological development, cardiac CT has become a comprehensive imaging modality which offers anatomical and functional information to guide patient management. This is the second of two complementary documents endorsed by the European Association of Cardiovascular Imaging aiming to give updated indications on the appropriate use of cardiac CT in different clinical scenarios. In this article, emerging CT technologies and biomarkers, such as CT-derived fractional flow reserve, perfusion imaging, and pericoronary adipose tissue attenuation, are described. In addition, the role of cardiac CT in the evaluation of atherosclerotic plaque, cardiomyopathies, structural heart disease, and congenital heart disease is revised.
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Affiliation(s)
- Gianluca Pontone
- Centro Cardiologico Monzino IRCCS, Via C. Parea 4, 20138 Milan, Italy
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Zurich, Switzerland
| | - Marco Guglielmo
- Centro Cardiologico Monzino IRCCS, Via C. Parea 4, 20138 Milan, Italy
| | - Marc R Dweck
- Centre for Cardiovascular Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Koen Nieman
- Department of Radiology and Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Francesca Pugliese
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK
- Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Pal Maurovich-Horvat
- MTA-SE Cardiovascular Imaging Research Group, Medical Imaging Centre, Semmelweis University, Budapest, Hungary
| | - Alessia Gimelli
- Fondazione CNR/Regione Toscana “Gabriele Monasterio”, Pisa, Italy
| | - Bernard Cosyns
- Department of Cardiology, CHVZ (Centrum voor Hart en Vaatziekten), ICMI (In Vivo Cellular and Molecular Imaging) Laboratory, Universitair ziekenhuis Brussel, Brussel, Belgium
| | - Stephan Achenbach
- Department of Cardiology, Friedrich-Alexander-University of Erlangen, Erlangen, Germany
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Lopes LR, Quarta G, Cardim N, Gimeno JR. Editorial: Comprehensive Risk Prediction in Cardiomyopathies: New Genetic and Imaging Markers of Risk. Front Cardiovasc Med 2022; 9:849882. [PMID: 35345484 PMCID: PMC8957109 DOI: 10.3389/fcvm.2022.849882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 01/31/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Luis Rocha Lopes
- Barts Heart Centre, St. Bartholomew's Hospital, London, United Kingdom
- Institute of Cardiovascular Science, University College London, London, United Kingdom
- *Correspondence: Luis Rocha Lopes
| | | | - Nuno Cardim
- Hospital da Luz, Lisbon, Portugal
- Universidade Nova de Lisboa, Lisbon, Portugal
| | - Juan Ramon Gimeno
- Unidad Centros, Servicios y Unidades de Referencia/European Reference Networks Cardiopatías Familiares, Hospital Clínico Universitario Virgen Arrixaca, Murcia, Spain
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47
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Echocardiographic Deformation Imaging for Early Detection of Genetic Cardiomyopathies: JACC Review Topic of the Week. J Am Coll Cardiol 2022; 79:594-608. [PMID: 35144751 DOI: 10.1016/j.jacc.2021.11.045] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/12/2021] [Accepted: 11/22/2021] [Indexed: 12/14/2022]
Abstract
Clinical screening of the relatives of patients with genetic cardiomyopathies is challenging, as they often lack detectable cardiac abnormalities at presentation. Life-threatening adverse events can already occur in these early stages of disease, so sensitive tools to reveal the earliest signs of disease are needed. The utility of echocardiographic deformation imaging for early detection has been explored for this population in multiple studies but has not been broadly implemented in clinical practice. The authors discuss contemporary evidence on the utility of deformation imaging in relatives of patients with genetic cardiomyopathies. The available body of data shows that deformation imaging reveals early disease-specific abnormalities in dilated cardiomyopathy, hypertrophic cardiomyopathy, and arrhythmogenic cardiomyopathy. Deformation imaging seems promising to enhance the screening and follow-up protocols in relatives, and the authors propose measures to accelerate its implementation in clinical care.
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Monda E, Palmiero G, Lioncino M, Rubino M, Cirillo A, Fusco A, Caiazza M, Verrillo F, Diana G, Mauriello A, Iavarone M, Losi MA, De Rimini ML, Dellegrottaglie S, D’Andrea A, Bossone E, Pacileo G, Limongelli G. Multimodality Imaging in Cardiomyopathies with Hypertrophic Phenotypes. J Clin Med 2022; 11:868. [PMID: 35160323 PMCID: PMC8836956 DOI: 10.3390/jcm11030868] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/29/2022] [Accepted: 02/04/2022] [Indexed: 12/16/2022] Open
Abstract
Multimodality imaging is a comprehensive strategy to investigate left ventricular hypertrophy (LVH), providing morphologic, functional, and often clinical information to clinicians. Hypertrophic cardiomyopathy (HCM) is defined by an increased LV wall thickness not only explainable by abnormal loading conditions. In the context of HCM, multimodality imaging, by different imaging techniques, such as echocardiography, cardiac magnetic resonance, cardiac computer tomography, and cardiac nuclear imaging, provides essential information for diagnosis, sudden cardiac death stratification, and management. Furthermore, it is essential to uncover the specific cause of HCM, such as Fabry disease and cardiac amyloidosis, which can benefit of specific treatments. This review aims to elucidate the current role of multimodality imaging in adult patients with HCM.
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Affiliation(s)
- Emanuele Monda
- Inherited and Rare Cardiovascular Diseases, Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, AORN Ospedali dei Colli-Monaldi Hospital, 80131 Naples, Italy; (E.M.); (G.P.); (M.L.); (M.R.); (A.C.); (A.F.); (M.C.); (F.V.); (G.D.); (A.M.); (M.I.); (G.P.)
| | - Giuseppe Palmiero
- Inherited and Rare Cardiovascular Diseases, Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, AORN Ospedali dei Colli-Monaldi Hospital, 80131 Naples, Italy; (E.M.); (G.P.); (M.L.); (M.R.); (A.C.); (A.F.); (M.C.); (F.V.); (G.D.); (A.M.); (M.I.); (G.P.)
| | - Michele Lioncino
- Inherited and Rare Cardiovascular Diseases, Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, AORN Ospedali dei Colli-Monaldi Hospital, 80131 Naples, Italy; (E.M.); (G.P.); (M.L.); (M.R.); (A.C.); (A.F.); (M.C.); (F.V.); (G.D.); (A.M.); (M.I.); (G.P.)
| | - Marta Rubino
- Inherited and Rare Cardiovascular Diseases, Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, AORN Ospedali dei Colli-Monaldi Hospital, 80131 Naples, Italy; (E.M.); (G.P.); (M.L.); (M.R.); (A.C.); (A.F.); (M.C.); (F.V.); (G.D.); (A.M.); (M.I.); (G.P.)
| | - Annapaola Cirillo
- Inherited and Rare Cardiovascular Diseases, Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, AORN Ospedali dei Colli-Monaldi Hospital, 80131 Naples, Italy; (E.M.); (G.P.); (M.L.); (M.R.); (A.C.); (A.F.); (M.C.); (F.V.); (G.D.); (A.M.); (M.I.); (G.P.)
| | - Adelaide Fusco
- Inherited and Rare Cardiovascular Diseases, Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, AORN Ospedali dei Colli-Monaldi Hospital, 80131 Naples, Italy; (E.M.); (G.P.); (M.L.); (M.R.); (A.C.); (A.F.); (M.C.); (F.V.); (G.D.); (A.M.); (M.I.); (G.P.)
| | - Martina Caiazza
- Inherited and Rare Cardiovascular Diseases, Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, AORN Ospedali dei Colli-Monaldi Hospital, 80131 Naples, Italy; (E.M.); (G.P.); (M.L.); (M.R.); (A.C.); (A.F.); (M.C.); (F.V.); (G.D.); (A.M.); (M.I.); (G.P.)
| | - Federica Verrillo
- Inherited and Rare Cardiovascular Diseases, Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, AORN Ospedali dei Colli-Monaldi Hospital, 80131 Naples, Italy; (E.M.); (G.P.); (M.L.); (M.R.); (A.C.); (A.F.); (M.C.); (F.V.); (G.D.); (A.M.); (M.I.); (G.P.)
| | - Gaetano Diana
- Inherited and Rare Cardiovascular Diseases, Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, AORN Ospedali dei Colli-Monaldi Hospital, 80131 Naples, Italy; (E.M.); (G.P.); (M.L.); (M.R.); (A.C.); (A.F.); (M.C.); (F.V.); (G.D.); (A.M.); (M.I.); (G.P.)
| | - Alfredo Mauriello
- Inherited and Rare Cardiovascular Diseases, Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, AORN Ospedali dei Colli-Monaldi Hospital, 80131 Naples, Italy; (E.M.); (G.P.); (M.L.); (M.R.); (A.C.); (A.F.); (M.C.); (F.V.); (G.D.); (A.M.); (M.I.); (G.P.)
| | - Michele Iavarone
- Inherited and Rare Cardiovascular Diseases, Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, AORN Ospedali dei Colli-Monaldi Hospital, 80131 Naples, Italy; (E.M.); (G.P.); (M.L.); (M.R.); (A.C.); (A.F.); (M.C.); (F.V.); (G.D.); (A.M.); (M.I.); (G.P.)
| | - Maria Angela Losi
- Department of Advanced Biomedical Sciences, Federico II University of Naples, 80138 Naples, Italy;
| | - Maria Luisa De Rimini
- Department of Nuclear Medicine, AORN Ospedali dei Colli-Monaldi Hospital, 80131 Naples, Italy;
| | - Santo Dellegrottaglie
- Cardiovascular MRI Laboratory, Division of Cardiology, Ospedale Medico-Chirurgico Accreditato Villa dei Fiori, 80011 Acerra, Italy;
| | - Antonello D’Andrea
- Unit of Cardiology and Intensive Coronary Care, “Umberto I” Hospital, 84014 Nocera Inferiore, Italy;
| | - Eduardo Bossone
- Department of Cardiology, Cardarelli Hospital, 80131 Naples, Italy;
| | - Giuseppe Pacileo
- Inherited and Rare Cardiovascular Diseases, Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, AORN Ospedali dei Colli-Monaldi Hospital, 80131 Naples, Italy; (E.M.); (G.P.); (M.L.); (M.R.); (A.C.); (A.F.); (M.C.); (F.V.); (G.D.); (A.M.); (M.I.); (G.P.)
| | - Giuseppe Limongelli
- Inherited and Rare Cardiovascular Diseases, Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, AORN Ospedali dei Colli-Monaldi Hospital, 80131 Naples, Italy; (E.M.); (G.P.); (M.L.); (M.R.); (A.C.); (A.F.); (M.C.); (F.V.); (G.D.); (A.M.); (M.I.); (G.P.)
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O'Brien AC, MacDermott R, Keane S, Ryan D, McVeigh N, Durand R, Ferre M, Murphy DJ, Teekakirikul P, Keane D, McDonald K, Ledwidge M, Dodd JD. Cardiac MRI e-prime Predicts Myocardial Late Gadolinium Enhancement and Diastolic Dysfunction in Hypertrophic Cardiomyopathy. Eur J Radiol 2022; 149:110192. [DOI: 10.1016/j.ejrad.2022.110192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/27/2022] [Accepted: 01/29/2022] [Indexed: 11/17/2022]
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50
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Smiseth OA, Morris DA, Cardim N, Cikes M, Delgado V, Donal E, Flachskampf FA, Galderisi M, Gerber BL, Gimelli A, Klein AL, Knuuti J, Lancellotti P, Mascherbauer J, Milicic D, Seferovic P, Solomon S, Edvardsen T, Popescu BA. Multimodality imaging in patients with heart failure and preserved ejection fraction: an expert consensus document of the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging 2022; 23:e34-e61. [PMID: 34729586 DOI: 10.1093/ehjci/jeab154] [Citation(s) in RCA: 179] [Impact Index Per Article: 59.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 08/10/2021] [Indexed: 12/27/2022] Open
Abstract
Nearly half of all patients with heart failure (HF) have a normal left ventricular (LV) ejection fraction (EF) and the condition is termed heart failure with preserved ejection fraction (HFpEF). It is assumed that in these patients HF is due primarily to LV diastolic dysfunction. The prognosis in HFpEF is almost as severe as in HF with reduced EF (HFrEF). In contrast to HFrEF where drugs and devices are proven to reduce mortality, in HFpEF there has been limited therapy available with documented effects on prognosis. This may reflect that HFpEF encompasses a wide range of different pathological processes, which multimodality imaging is well placed to differentiate. Progress in developing therapies for HFpEF has been hampered by a lack of uniform diagnostic criteria. The present expert consensus document from the European Association of Cardiovascular Imaging (EACVI) provides recommendations regarding how to determine elevated LV filling pressure in the setting of suspected HFpEF and how to use multimodality imaging to determine specific aetiologies in patients with HFpEF.
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Affiliation(s)
- Otto A Smiseth
- Department of Cardiology, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, Oslo, Norway.,Institute for Surgical Research, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Daniel A Morris
- Department of Internal Medicine and Cardiology, Campus Virchow Klinikum, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Nuno Cardim
- Cardiology Department, Hospital da Luz, Av. Lusíada, N° 100, Lisbon, Portugal
| | - Maja Cikes
- Department of Cardiovascular Diseases, University of Zagreb School of Medicine and University Hospital Center Zagreb, Zagreb, Croatia
| | - Victoria Delgado
- Department of Cardiology, Leiden University Medical Centre, Albinusdreef 2, Leiden 2300 RC, The Netherlands
| | - Erwan Donal
- Service de Cardiologie Et Maladies Vasculaires Et CIC-IT 1414, CHU Rennes, 35000 Rennes, France.,Université de Rennes 1, LTSI, 35000 Rennes, France
| | - Frank A Flachskampf
- Department of Medical Sciences, Clinical Physiology and Cardiology, Uppsala University Hospital, Uppsala, Sweden
| | - Maurizio Galderisi
- Department of Advanced Biomedical Sciences, Federico II University, Naples, Italy
| | - Bernhard L Gerber
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Av Hippocrate, 10/2806 Brussels, Belgium
| | - Alessia Gimelli
- Fondazione Toscana Gabriele Monasterio, Via Moruzzi, 1, Pisa 56124, Italy
| | - Allan L Klein
- Section of Cardiovascular Imaging, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Juhani Knuuti
- Turku PET Centre, University of Turku, and Turku University Hospital, Turku, Finland
| | - Patrizio Lancellotti
- Department of Cardiology, University of Liège Hospital, Domaine Universitaire du Sart Tilman, Liège B4000, Belgium.,Gruppo Villa Maria Care and Research, Maria Cecilia Hospital, Cotignola, and Anthea Hospital, Bari, Italy
| | - Julia Mascherbauer
- Department of Internal Medicine 3, Karl Landsteiner University of Health Sciences, University Hospital St. Pölten, Krems, Austria
| | - Davor Milicic
- Department of Cardiovascular Diseases, University of Zagreb School of Medicine and University Hospital Center Zagreb, Zagreb, Croatia
| | - Petar Seferovic
- Department of Cardiology, Clinical Center of Serbia, Belgrade, Serbia.,Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Scott Solomon
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Thor Edvardsen
- Department of Cardiology, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, Oslo, Norway.,Institute for Surgical Research, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Bogdan A Popescu
- Department of Cardiology, University of Medicine and Pharmacy "Carol Davila", Euroecolab, Emergency Institute for Cardiovascular Diseases "Prof. Dr. C. C. Iliescu", Sos. Fundeni 258, sector 2, 022328 Bucharest, Romania
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