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Heydari B, Satriano A, Jerosch-Herold M, Kolm P, Kim DY, Cheng K, Choi YL, Antiochos P, White JA, Mahmod M, Chan K, Raman B, Desai MY, Ho CY, Dolman SF, Desvigne-Nickens P, Maron MS, Friedrich MG, Schulz-Menger J, Piechnik SK, Appelbaum E, Weintraub WS, Neubauer S, Kramer CM, Kwong RY. 3-Dimensional Strain Analysis of Hypertrophic Cardiomyopathy: Insights From the NHLBI International HCM Registry. JACC Cardiovasc Imaging 2023; 16:478-491. [PMID: 36648040 PMCID: PMC10802851 DOI: 10.1016/j.jcmg.2022.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 10/04/2022] [Accepted: 10/13/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Abnormal global longitudinal strain (GLS) has been independently associated with adverse cardiac outcomes in both obstructive and nonobstructive hypertrophic cardiomyopathy. OBJECTIVES The goal of this study was to understand predictors of abnormal GLS from baseline data from the National Heart, Lung, and Blood Institute (NHLBI) Hypertrophic Cardiomyopathy Registry (HCMR). METHODS The study evaluated comprehensive 3-dimensional left ventricular myocardial strain from cine cardiac magnetic resonance in 2,311 patients from HCMR using in-house validated feature-tracking software. These data were correlated with other imaging markers, serum biomarkers, and demographic variables. RESULTS Abnormal median GLS (> -11.0%) was associated with higher left ventricular (LV) mass index (93.8 ± 29.2 g/m2 vs 75.1 ± 19.7 g/m2; P < 0.0001) and maximal wall thickness (21.7 ± 5.2 mm vs 19.3 ± 4.1 mm; P < 0.0001), lower left (62% ± 9% vs 66% ± 7%; P < 0.0001) and right (68% ± 11% vs 69% ± 10%; P < 0.01) ventricular ejection fractions, lower left atrial emptying functions (P < 0.0001 for all), and higher presence and myocardial extent of late gadolinium enhancement (6 SD and visual quantification; P < 0.0001 for both). Elastic net regression showed that adjusted predictors of GLS included female sex, Black race, history of syncope, presence of systolic anterior motion of the mitral valve, reverse curvature and apical morphologies, LV ejection fraction, LV mass index, and both presence/extent of late gadolinium enhancement and baseline N-terminal pro-B-type natriuretic peptide and troponin levels. CONCLUSIONS Abnormal strain in hypertrophic cardiomyopathy is associated with other imaging and serum biomarkers of increased risk. Further follow-up of the HCMR cohort is needed to understand the independent relationship between LV strain and adverse cardiac outcomes in hypertrophic cardiomyopathy.
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Affiliation(s)
- Bobak Heydari
- Stephenson Cardiac Imaging Center, Department of Cardiac Sciences, University of Calgary, Calgary, Canada
| | - Alessandro Satriano
- Stephenson Cardiac Imaging Center, Department of Cardiac Sciences, University of Calgary, Calgary, Canada
| | | | - Paul Kolm
- MedStar Heart and Vascular Institute, Washington, DC, USA
| | - Dong-Yun Kim
- National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - Kathleen Cheng
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Yuna L Choi
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | - James A White
- Stephenson Cardiac Imaging Center, Department of Cardiac Sciences, University of Calgary, Calgary, Canada
| | - Masliza Mahmod
- Division of Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom
| | - Kenneth Chan
- Division of Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom
| | - Betty Raman
- Division of Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom
| | | | - Carolyn Y Ho
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | | | - Martin S Maron
- Lahey Hospital & Medical Center, Boston, Massachusetts, USA
| | | | - Jeanette Schulz-Menger
- Charité Experimental Clinical Research Center and Helios Clinics Berlin-Buch, Berlin, Germany
| | - Stefan K Piechnik
- Division of Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom
| | | | | | - Stefan Neubauer
- Division of Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom
| | - Christopher M Kramer
- Cardiovascular Division, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Raymond Y Kwong
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
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Kramer CM, DiMarco JP, Kolm P, Ho CY, Desai MY, Kwong RY, Dolman SF, Desvigne-Nickens P, Geller N, Kim DY, Maron MS, Appelbaum E, Jerosch-Herold M, Friedrich MG, Schulz-Menger J, Piechnik SK, Mahmod M, Jacoby D, White J, Chiribiri A, Helms A, Choudhury L, Michels M, Bradlow W, Salerno M, Dawson DK, Weinsaft JW, Berry C, Nagueh SF, Buccarelli-Ducci C, Owens A, Casadei B, Watkins H, Weintraub WS, Neubauer S. Predictors of Major Atrial Fibrillation Endpoints in the National Heart, Lung, and Blood Institute HCMR. JACC Clin Electrophysiol 2021; 7:1376-1386. [PMID: 34217663 PMCID: PMC8605982 DOI: 10.1016/j.jacep.2021.04.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 04/06/2021] [Accepted: 04/07/2021] [Indexed: 01/22/2023]
Abstract
OBJECTIVES This study sought to identify predictors of major clinically important atrial fibrillation endpoints in hypertrophic cardiomyopathy. BACKGROUND Atrial fibrillation (AF) is a common morbidity associated with hypertrophic cardiomyopathy (HCM). The HCMR (Hypertrophic Cardiomyopathy Registry) trial is a prospective natural history study of 2,755 patients with HCM with comprehensive phenotyping. METHODS All patients received yearly telephone follow-up. Major AF endpoints were defined as requiring electrical cardioversion, catheter ablation, hospitalization for >24 h, or clinical decisions to accept permanent AF. Penalized regression via elastic-net methodology identified the most important predictors of major AF endpoints from 46 variables. This was applied to 10 datasets, and the variables were ranked. Predictors that appeared in all 10 sets were then used in a Cox model for competing risks and analyzed as time to first event. RESULTS Data from 2,631 (95.5%) patients were available for analysis after exclusions. A total of 127 major AF endpoints events occurred in 96 patients over 33.3 ± 12.4 months. In the final model, age, body mass index (BMI), left atrial (LA) volume index, LA contractile percent (active contraction), moderate or severe mitral regurgitation (MR), and history of arrhythmia the most important. BMI, LA volume index, and LA contractile percent were age-dependent. Obesity was a stronger risk factor in younger patients. Increased LA volume, reduced LA contractile percent, and moderate or severe MR put middle-aged and older adult patients at increased risk. CONCLUSIONS The major predictors of major AF endpoints in HCM include older age, high BMI, moderate or severe MR, history of arrhythmia, increased LA volume, and reduced LA contractile percent. Prospective testing of a risk score based on these parameters may be warranted.
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Affiliation(s)
| | - John P DiMarco
- University of Virginia Health System, Charlottesville, Virginia, USA
| | - Paul Kolm
- MedStar Health Research Institute, Washington, DC, USA
| | - Carolyn Y Ho
- Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | | | | | | | - Nancy Geller
- National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - Dong-Yun Kim
- National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | | | | | | | | | - Jeanette Schulz-Menger
- Charité Experimental Clinical Research Center and Helios Clinics Berlin-Buch, Berlin, Germany
| | | | | | | | - James White
- University of Calgary, Calgary, Alberta, Canada
| | | | - Adam Helms
- University of Michigan, Anne Arbor, Michigan, USA
| | | | | | | | - Michael Salerno
- University of Virginia Health System, Charlottesville, Virginia, USA
| | | | | | - Colin Berry
- University of Glasgow, Glasgow, United Kingdom
| | | | | | - Anjali Owens
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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Neubauer S, Kolm P, Ho CY, Kwong RY, Desai MY, Dolman SF, Appelbaum E, Desvigne-Nickens P, DiMarco JP, Friedrich MG, Geller N, Harper AR, Jarolim P, Jerosch-Herold M, Kim DY, Maron MS, Schulz-Menger J, Piechnik SK, Thomson K, Zhang C, Watkins H, Weintraub WS, Kramer CM. Distinct Subgroups in Hypertrophic Cardiomyopathy in the NHLBI HCM Registry. J Am Coll Cardiol 2020; 74:2333-2345. [PMID: 31699273 DOI: 10.1016/j.jacc.2019.08.1057] [Citation(s) in RCA: 137] [Impact Index Per Article: 34.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 08/19/2019] [Accepted: 08/23/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND The HCMR (Hypertrophic Cardiomyopathy Registry) is a National Heart, Lung, and Blood Institute-funded, prospective registry of 2,755 patients with hypertrophic cardiomyopathy (HCM) recruited from 44 sites in 6 countries. OBJECTIVES The authors sought to improve risk prediction in HCM by incorporating cardiac magnetic resonance (CMR), genetic, and biomarker data. METHODS Demographic and echocardiographic data were collected. Patients underwent CMR including cine imaging, late gadolinium enhancement imaging (LGE) (replacement fibrosis), and T1 mapping for measurement of extracellular volume as a measure of interstitial fibrosis. Blood was drawn for the biomarkers N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (cTnT), and genetic analysis. RESULTS A total of 2,755 patients were studied. Mean age was 49 ± 11 years, 71% were male, and 17% non-white. Mean ESC (European Society of Cardiology) risk score was 2.48 ± 0.56. Eighteen percent had a resting left ventricular outflow tract (LVOT) gradient ≥30 mm Hg. Thirty-six percent had a sarcomere mutation identified, and 50% had any LGE. Sarcomere mutation-positive patients were more likely to have reverse septal curvature morphology, LGE, and no significant resting LVOT obstruction. Those that were sarcomere mutation negative were more likely to have isolated basal septal hypertrophy, less LGE, and more LVOT obstruction. Interstitial fibrosis was present in segments both with and without LGE. Serum NT-proBNP and cTnT levels correlated with increasing LGE and extracellular volume in a graded fashion. CONCLUSIONS The HCMR population has characteristics of low-risk HCM. Ninety-three percent had no or only mild functional limitation. Baseline data separated patients broadly into 2 categories. One group was sarcomere mutation positive and more likely had reverse septal curvature morphology, more fibrosis, but less resting obstruction, whereas the other was sarcomere mutation negative and more likely had isolated basal septal hypertrophy with obstruction, but less fibrosis. Further follow-up will allow better understanding of these subgroups and development of an improved risk prediction model incorporating all these markers.
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Affiliation(s)
- Stefan Neubauer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Paul Kolm
- MedStar Heart and Vascular Institute, Washington, DC
| | - Carolyn Y Ho
- Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Raymond Y Kwong
- Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Milind Y Desai
- Cardiovascular Institute, Cleveland Clinic, Cleveland, Ohio
| | | | - Evan Appelbaum
- Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | | | - John P DiMarco
- Cardiovascular Division, University of Virginia Health System, Charlottesville, Virginia
| | - Matthias G Friedrich
- Departments of Medicine and Diagnostic Radiology, McGill University, Montreal, Quebec, Canada
| | - Nancy Geller
- National Heart, Lung, and Blood Institute, Bethesda, Maryland
| | - Andrew R Harper
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Petr Jarolim
- Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Michael Jerosch-Herold
- Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Dong-Yun Kim
- National Heart, Lung, and Blood Institute, Bethesda, Maryland
| | - Martin S Maron
- Division of Cardiology, Tufts New England Medical Center, Boston, Massachusetts
| | - Jeanette Schulz-Menger
- Cardiology Department, Charite' Experimental Clinical Research Center and Helios Clinics Berlin-Buch, Berlin, Germany
| | - Stefan K Piechnik
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Kate Thomson
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Cheng Zhang
- MedStar Heart and Vascular Institute, Washington, DC
| | - Hugh Watkins
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | | | - Christopher M Kramer
- Cardiovascular Division, University of Virginia Health System, Charlottesville, Virginia.
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