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Xu X, Divakaran S, Weber BN, Hainer J, Laychak SS, Auer B, Kijewski MF, Blankstein R, Dorbala S, Trinquart L, Slomka P, Zhang L, Brown JM, Di Carli MF. Relationship of Subendocardial Perfusion to Myocardial Injury, Cardiac Structure, and Clinical Outcomes Among Patients With Hypertension. Circulation 2024; 150:1075-1086. [PMID: 39166326 PMCID: PMC11526823 DOI: 10.1161/circulationaha.123.067083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 07/29/2024] [Indexed: 08/22/2024]
Abstract
BACKGROUND Coronary microvascular dysfunction has been implicated in the development of hypertensive heart disease and heart failure, with subendocardial ischemia identified as a driver of sustained myocardial injury and fibrosis. We aimed to evaluate the relationships of subendocardial perfusion with cardiac injury, structure, and a composite of major adverse cardiac and cerebrovascular events consisting of death, heart failure hospitalization, myocardial infarction, and stroke. METHODS Layer-specific blood flow and myocardial flow reserve (MFR; stress/rest myocardial blood flow) were assessed by 13N-ammonia perfusion positron emission tomography in consecutive patients with hypertension without flow-limiting coronary artery disease (summed stress score <3) imaged at Brigham and Women's Hospital (Boston, MA) from 2015 to 2021. In this post hoc observational study, biomarkers, echocardiographic parameters, and longitudinal clinical outcomes were compared by tertiles of subendocardial MFR (MFRsubendo). RESULTS Among 358 patients, the mean age was 70.6±12.0 years, and 53.4% were male. The median MFRsubendo was 2.57 (interquartile range, 2.08-3.10), and lower MFRsubendo was associated with older age, diabetes, lower renal function, greater coronary calcium burden, and higher systolic blood pressure (P<0.05 for all). In cross-sectional multivariable regression analyses, the lowest tertile of MFRsubendo was associated with myocardial injury and with greater left ventricular wall thickness and volumes compared with the highest tertile. Relative to the highest tertile, low MFRsubendo was independently associated with an increased rate of major adverse cardiac and cerebrovascular events (adjusted hazard ratio, 2.99 [95% CI, 1.39-6.44]; P=0.005) and heart failure hospitalization (adjusted hazard ratio, 2.76 [95% CI, 1.04-7.32; P=0.042) over 1.1 (interquartile range, 0.6-2.8) years median follow-up. CONCLUSIONS Among patients with hypertension without flow-limiting coronary artery disease, impaired MFRsubendo was associated with cardiovascular risk factors, elevated cardiac biomarkers, cardiac structure, and clinical events.
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Affiliation(s)
- Xiaolei Xu
- Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Cardiology, and Institute for Developmental and Regenerative Cardiovascular Medicine, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Sanjay Divakaran
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Heart and Vascular Center, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Brittany N. Weber
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Heart and Vascular Center, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Jon Hainer
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Shelby S. Laychak
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Benjamin Auer
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Marie F. Kijewski
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Ron Blankstein
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Heart and Vascular Center, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Sharmila Dorbala
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Ludovic Trinquart
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
- Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA, USA
| | - Piotr Slomka
- Division of Artificial Intelligence, Department of Medicine, Cedars Sinai, Los Angeles, CA
| | - Li Zhang
- Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Department of Cardiology, and Institute for Developmental and Regenerative Cardiovascular Medicine, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jenifer M. Brown
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Heart and Vascular Center, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Marcelo F. Di Carli
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Heart and Vascular Center, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
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2
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Jia Y, Hu Y, Yang L, Diao X, Li Y, Wang Y, Wang R, Cao J, Li S. Prognostic value of transient ischemic dilatation by 13N-ammonia PET MPI for short-term outcomes in patients with non-obstructive CAD. Ann Nucl Med 2024:10.1007/s12149-024-01976-8. [PMID: 39251470 DOI: 10.1007/s12149-024-01976-8] [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: 04/13/2024] [Accepted: 09/01/2024] [Indexed: 09/11/2024]
Abstract
OBJECTIVE Transient ischaemic dilatation (TID) had incremental diagnostic and prognostic value in obstructive coronary artery disease (CAD), but its clinical significance in patients with non-obstructive CAD remains unknown. We aimed to explore the prognostic value of TID in patients with non-obstructive CAD by 13N-ammonia PET imaging. METHODS We retrospectively studied 131 consecutive patients with non-obstructive CAD undergoing one-day rest-stress 13N-ammonia PET myocardial perfusion imaging (MPI). TID was automatically generated using CardIQ Physio software. The receiver operative characteristic (ROC) curve was used to determine the optimal threshold of TID. The follow-up outcome was major adverse cardiac events (MACE), a composite of re-hospitalization for heart failure or unstable angina, late revascularization, non-fatal myocardial infarction, and cardiac death. Cardiac event-free survivals for normal and abnormal TID were compared using Kaplan-Meier plots and log-rank tests. RESULTS During a median follow-up of 42.08 ± 17.67 months, 22 (16.7%) patients occurred MACE. The optimal cut-off value of TID was 1.03 based on MACE. Our preliminary outcome analysis suggests that TID-abnormal subjects had a lower overall survival probability. Furthermore, our multivariate analysis reveals abnormal TID was the only independent predictor for MACE in non-obstructive CAD. In the subgroup analysis, an abnormal TID was an independent predictor for MACE in patients with abnormal perfusion patterns. CONCLUSION Among patients with non-obstructive CAD, PET-derived TID ≥ 1.03 may identify those with a high risk of subsequent MACE independently. It was also an independent risk factor for poor prognosis in patients with abnormal perfusion.
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Affiliation(s)
- Yanni Jia
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- School of Forensic Medicine, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Yingqi Hu
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Shanxi Key Laboratory of Molecular Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Lihong Yang
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- School of Forensic Medicine, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Xin Diao
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Shanxi Key Laboratory of Molecular Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Yuanyuan Li
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Shanxi Key Laboratory of Molecular Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Yanhui Wang
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Shanxi Key Laboratory of Molecular Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Ruonan Wang
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Shanxi Key Laboratory of Molecular Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jianbo Cao
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Sijin Li
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, Shanxi Medical University, Taiyuan, Shanxi, China.
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3
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Thottakara T, Padmanabhan A, Tanriverdi T, Thambidurai T, Diaz-RG JA, Amonkar SR, Olgin JE, Long CS, Roselle Abraham M. Single-nucleus RNA/ATAC-seq in early-stage HCM models predicts SWI/SNF-activation in mutant-myocytes, and allele-specific differences in fibroblasts. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.24.589078. [PMID: 38903075 PMCID: PMC11188105 DOI: 10.1101/2024.04.24.589078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/22/2024]
Abstract
Hypertrophic cardiomyopathy (HCM) is associated with phenotypic variability. To gain insights into transcriptional regulation of cardiac phenotype, single-nucleus linked RNA-/ATAC-seq was performed in 5-week-old control mouse-hearts (WT) and two HCM-models (R92W-TnT, R403Q-MyHC) that exhibit differences in heart size/function and fibrosis; mutant data was compared to WT. Analysis of 23,304 nuclei from mutant hearts, and 17,669 nuclei from WT, revealed similar dysregulation of gene expression, activation of AP-1 TFs (FOS, JUN) and the SWI/SNF complex in both mutant ventricular-myocytes. In contrast, marked differences were observed between mutants, for gene expression/TF enrichment, in fibroblasts, macrophages, endothelial cells. Cellchat predicted activation of pro-hypertrophic IGF-signaling in both mutant ventricular-myocytes, and profibrotic TGFβ-signaling only in mutant-TnT fibroblasts. In summary, our bioinformatics analyses suggest that activation of IGF-signaling, AP-1 TFs and the SWI/SNF chromatin remodeler complex promotes myocyte hypertrophy in early-stage HCM. Selective activation of TGFβ-signaling in mutant-TnT fibroblasts contributes to genotype-specific differences in cardiac fibrosis.
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Affiliation(s)
- Tilo Thottakara
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
- Department of Cardiology, University Heart and Vascular Center Hamburg, Germany
| | - Arun Padmanabhan
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
- Gladstone Institutes, San Francisco, CA, USA
| | - Talha Tanriverdi
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
| | - Tharika Thambidurai
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
| | - Jose A. Diaz-RG
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
| | - Sanika R. Amonkar
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
| | - Jeffrey E. Olgin
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
| | - Carlin S. Long
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
| | - M. Roselle Abraham
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
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4
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Giannopoulos AA, Buechel RR, Kaufmann PA. Coronary microvascular disease in hypertrophic and infiltrative cardiomyopathies. J Nucl Cardiol 2023; 30:800-810. [PMID: 35915323 PMCID: PMC10125945 DOI: 10.1007/s12350-022-03040-2] [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: 04/27/2022] [Accepted: 05/20/2022] [Indexed: 11/30/2022]
Abstract
Pathologic hypertrophy of the cardiac muscle is a commonly encountered phenotype in clinical practice, associated with a variety of structural and non-structural diseases. Coronary microvascular disease is considered to play an important role in the natural history of this pathological phenotype. Non-invasive imaging modalities, most prominently positron emission tomography and cardiac magnetic resonance, have provided insights into the pathophysiological mechanisms of the interplay between hypertrophy and the coronary microvasculature. This article summarizes the current knowledge on coronary microvascular dysfunction in the most frequently encountered forms of pathologic hypertrophy.
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Affiliation(s)
- Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
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5
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Gould KL, Nguyen T, Kirkeeide R, Roby AE, Bui L, Kitkungvan D, Patel MB, Madjid M, Haynie M, Lai D, Li R, Narula J, Johnson NP. Subendocardial and Transmural Myocardial Ischemia: Clinical Characteristics, Prevalence, and Outcomes With and Without Revascularization. JACC Cardiovasc Imaging 2023; 16:78-94. [PMID: 36599572 DOI: 10.1016/j.jcmg.2022.05.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 05/19/2022] [Accepted: 05/23/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND Subendocardial ischemia is commonly diagnosed but not quantified by imaging. OBJECTIVES This study sought to define size and severity of subendocardial and transmural stress perfusion deficits, clinical associations, and outcomes. METHODS Regional rest-stress perfusion in mL/min/g, coronary flow reserve, coronary flow capacity (CFC), relative stress flow, subendocardial stress-to-rest ratio and stress subendocardial-to-subepicardial ratio as percentage of left ventricle were measured by positron emission tomography (PET) with rubidium Rb 82 and dipyridamole stress in serial 6,331 diagnostic PETs with prospective 10-year follow-up for major adverse cardiac events with and without revascularization. RESULTS Of 6,331 diagnostic PETs, 1,316 (20.7%) had severely reduced CFC with 41.4% having angina or ST-segment depression (STΔ) >1 mm during hyperemic stress, increasing with size. For 5,015 PETs with no severe CFC abnormality, 402 (8%) had angina or STΔ during stress, and 82% had abnormal subendocardial perfusion with 8.7% having angina or STΔ >1 mm during dipyridamole stress. Of 947 cases with stress-induced angina or STΔ >1 mm, 945 (99.8%) had reduced transmural or subendocardial perfusion reflecting sufficient microvascular function to increase coronary blood flow and reduce intracoronary pressure, causing reduced subendocardial perfusion; only 2 (0.2%) had normal subendocardial perfusion, suggesting microvascular disease as the cause of the angina. Over 10-year follow-up (mean 5 years), severely reduced CFC associated with major adverse cardiac events of 44.4% compared to 8.8% for no severe CFC (unadjusted P < 0.00001) and mortality of 15.2% without and 6.9% with revascularization (P < 0.00002) confirmed by multivariable Cox regression modeling. For no severe CFC, mortality was 3% with and without revascularization (P = 0.90). CONCLUSIONS Reduced subendocardial perfusion on dipyridamole PET without regional stress perfusion defects is common without angina, has low risk of major adverse cardiac events, reflecting asymptomatic nonobstructive diffuse coronary artery disease, or angina without stenosis. Severely reduced CFC causes angina in fewer than one-half of cases but incurs high mortality risk that is significantly reduced after revascularization.
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Affiliation(s)
- K Lance Gould
- Weatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medial Medical School, University of Texas, and Memorial Hermann Hospital, Houston, Texas, USA.
| | - Tung Nguyen
- Weatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medial Medical School, University of Texas, and Memorial Hermann Hospital, Houston, Texas, USA
| | - Richard Kirkeeide
- Weatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medial Medical School, University of Texas, and Memorial Hermann Hospital, Houston, Texas, USA
| | - Amanda E Roby
- Weatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medial Medical School, University of Texas, and Memorial Hermann Hospital, Houston, Texas, USA
| | - Linh Bui
- Weatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medial Medical School, University of Texas, and Memorial Hermann Hospital, Houston, Texas, USA
| | - Danai Kitkungvan
- Weatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medial Medical School, University of Texas, and Memorial Hermann Hospital, Houston, Texas, USA
| | - Monica B Patel
- Weatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medial Medical School, University of Texas, and Memorial Hermann Hospital, Houston, Texas, USA
| | - Mohammad Madjid
- Weatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medial Medical School, University of Texas, and Memorial Hermann Hospital, Houston, Texas, USA
| | - Mary Haynie
- Weatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medial Medical School, University of Texas, and Memorial Hermann Hospital, Houston, Texas, USA
| | - Dejian Lai
- University of Texas School of Public Health, Houston, Texas, USA
| | - Ruosha Li
- University of Texas School of Public Health, Houston, Texas, USA
| | - Jagat Narula
- Mount Sinai Heart at Mount Sinai Morningside and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Nils P Johnson
- Weatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medial Medical School, University of Texas, and Memorial Hermann Hospital, Houston, Texas, USA
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6
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Benz DC, Kaufmann PA, Dorbala S. Transmural perfusion: A new direction for myocardial blood flow. J Nucl Cardiol 2022; 29:1952-1955. [PMID: 35292939 DOI: 10.1007/s12350-022-02945-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 02/13/2022] [Indexed: 10/18/2022]
Affiliation(s)
- Dominik C Benz
- CV Imaging Program, Cardiovascular Division, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
- Amyloidosis Program, Division of Cardiology, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
- Division of Nuclear Medicine, Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
| | - Philipp A Kaufmann
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Sharmila Dorbala
- CV Imaging Program, Cardiovascular Division, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
- Amyloidosis Program, Division of Cardiology, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Nuclear Medicine, Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA
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7
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Pristera N, Bhargava A. Tricked by transient ischemic dilation: A case of hypertrophic cardiomyopathy. J Nucl Cardiol 2021; 28:2415-2418. [PMID: 32914320 DOI: 10.1007/s12350-020-02350-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 08/17/2020] [Indexed: 11/30/2022]
Affiliation(s)
- Nicole Pristera
- Cardiovascular Medicine, Cleveland Clinic Foundation, Cleveland, USA
| | - Ajay Bhargava
- Cardiovascular Medicine, Cleveland Clinic Foundation, Cleveland, USA.
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8
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Hughes RK, Camaioni C, Augusto JB, Knott K, Quinn E, Captur G, Seraphim A, Joy G, Syrris P, Elliott PM, Mohiddin S, Kellman P, Xue H, Lopes LR, Moon JC. Myocardial Perfusion Defects in Hypertrophic Cardiomyopathy Mutation Carriers. J Am Heart Assoc 2021; 10:e020227. [PMID: 34310159 PMCID: PMC8475659 DOI: 10.1161/jaha.120.020227] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Background Impaired myocardial blood flow (MBF) in the absence of epicardial coronary disease is a feature of hypertrophic cardiomyopathy (HCM). Although most evident in hypertrophied or scarred segments, reduced MBF can occur in apparently normal segments. We hypothesized that impaired MBF and myocardial perfusion reserve, quantified using perfusion mapping cardiac magnetic resonance, might occur in the absence of overt left ventricular hypertrophy (LVH) and late gadolinium enhancement, in mutation carriers without LVH criteria for HCM (genotype‐positive, left ventricular hypertrophy‐negative). Methods and Results A single center, case‐control study investigated MBF and myocardial perfusion reserve (the ratio of MBF at stress:rest), along with other pre‐phenotypic features of HCM. Individuals with genotype‐positive, left ventricular hypertrophy‐negative (n=50) with likely pathogenic/pathogenic variants and no evidence of LVH, and matched controls (n=28) underwent cardiac magnetic resonance. Cardiac magnetic resonance identified LVH‐fulfilling criteria for HCM in 5 patients who were excluded. Individuals with genotype‐positive, left ventricular hypertrophy‐negative had longer indexed anterior mitral valve leaflet length (12.52±2.1 versus 11.55±1.6 mm/m2, P=0.03), lower left ventricular end‐systolic volume (21.0±6.9 versus 26.7±6.2 mm/m2, P≤0.005) and higher left ventricular ejection fraction (71.9±5.5 versus 65.8±4.4%, P≤0.005). Maximum wall thickness was not significantly different (9.03±1.95 versus 8.37±1.2 mm, P=0.075), and no subject had significant late gadolinium enhancement (minor right ventricle‒insertion point late gadolinium enhancement only). Perfusion mapping demonstrated visual perfusion defects in 9 (20%) carriers versus 0 controls (P=0.011). These were almost all septal or near right ventricle insertion points. Globally, myocardial perfusion reserve was lower in carriers (2.77±0.83 versus 3.24±0.63, P=0.009), with a subendocardial:subepicardial myocardial perfusion reserve gradient (2.55±0.75 versus 3.2±0.65, P=<0.005; 3.01±0.96 versus 3.47±0.75, P=0.026) but equivalent MBF (2.75±0.82 versus 2.65±0.69 mL/g per min, P=0.826). Conclusions Regional and global impaired myocardial perfusion can occur in HCM mutation carriers, in the absence of significant hypertrophy or scarring.
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Affiliation(s)
- Rebecca K Hughes
- Institute of Cardiovascular ScienceUniversity College London London UK.,Barts Heart CentreThe Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases UnitSt Bartholomew's Hospital London UK
| | - Claudia Camaioni
- Barts Heart CentreThe Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases UnitSt Bartholomew's Hospital London UK
| | - João B Augusto
- Institute of Cardiovascular ScienceUniversity College London London UK.,Barts Heart CentreThe Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases UnitSt Bartholomew's Hospital London UK
| | - Kristopher Knott
- Institute of Cardiovascular ScienceUniversity College London London UK.,Barts Heart CentreThe Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases UnitSt Bartholomew's Hospital London UK
| | - Ellie Quinn
- Barts Heart CentreThe Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases UnitSt Bartholomew's Hospital London UK
| | - Gabriella Captur
- Institute of Cardiovascular ScienceUniversity College London London UK.,Department of Cardiology Inherited Heart Muscle Conditions ClinicRoyal Free HospitalNHS Trust London UK.,University College London MRC Unit of Lifelong Health and Ageing London UK
| | - Andreas Seraphim
- Institute of Cardiovascular ScienceUniversity College London London UK.,Barts Heart CentreThe Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases UnitSt Bartholomew's Hospital London UK
| | - George Joy
- Barts Heart CentreThe Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases UnitSt Bartholomew's Hospital London UK
| | - Petros Syrris
- Institute of Cardiovascular ScienceUniversity College London London UK
| | - Perry M Elliott
- Institute of Cardiovascular ScienceUniversity College London London UK.,Barts Heart CentreThe Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases UnitSt Bartholomew's Hospital London UK
| | - Saidi Mohiddin
- Barts Heart CentreThe Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases UnitSt Bartholomew's Hospital London UK.,William Harvey instituteQueen Mary University of London London UK
| | - Peter Kellman
- National Heart, Lung, and Blood InstituteNational Institutes of HealthDHHS Bethesda MD
| | - Hui Xue
- National Heart, Lung, and Blood InstituteNational Institutes of HealthDHHS Bethesda MD
| | - Luis R Lopes
- Institute of Cardiovascular ScienceUniversity College London London UK.,Barts Heart CentreThe Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases UnitSt Bartholomew's Hospital London UK
| | - James C Moon
- Institute of Cardiovascular ScienceUniversity College London London UK.,Barts Heart CentreThe Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases UnitSt Bartholomew's Hospital London UK
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9
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Bhattacharya M, Lu DY, Ventoulis I, Greenland GV, Yalcin H, Guan Y, Marine JE, Olgin JE, Zimmerman SL, Abraham TP, Abraham MR, Shatkay H. Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model. CJC Open 2021; 3:801-813. [PMID: 34169259 PMCID: PMC8209373 DOI: 10.1016/j.cjco.2021.01.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 01/25/2021] [Indexed: 02/07/2023] Open
Abstract
Background Hypertrophic cardiomyopathy (HCM) patients have a high incidence of atrial fibrillation (AF) and increased stroke risk, even with low CHA2DS2-VASc (congestive heart failure, hypertension, age diabetes, previous stroke/transient ischemic attack) scores. Hence, there is a need to understand the pathophysiology of AF/stroke in HCM. In this retrospective study, we develop and apply a data-driven, machine learning–based method to identify AF cases, and clinical/imaging features associated with AF, using electronic health record data. Methods HCM patients with documented paroxysmal/persistent/permanent AF (n = 191) were considered AF cases, and the remaining patients in sinus rhythm (n = 640) were tagged as No-AF. We evaluated 93 clinical variables; the most informative variables useful for distinguishing AF from No-AF cases were selected based on the 2-sample t test and the information gain criterion. Results We identified 18 highly informative variables that are positively (n = 11) and negatively (n = 7) correlated with AF in HCM. Next, patient records were represented via these 18 variables. Data imbalance resulting from the relatively low number of AF cases was addressed via a combination of oversampling and undersampling strategies. We trained and tested multiple classifiers under this sampling approach, showing effective classification. Specifically, an ensemble of logistic regression and naïve Bayes classifiers, trained based on the 18 variables and corrected for data imbalance, proved most effective for separating AF from No-AF cases (sensitivity = 0.74, specificity = 0.70, C-index = 0.80). Conclusions Our model (HCM-AF-Risk Model) is the first machine learning–based method for identification of AF cases in HCM. This model demonstrates good performance, addresses data imbalance, and suggests that AF is associated with a more severe cardiac HCM phenotype.
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Affiliation(s)
- Moumita Bhattacharya
- Computational Biomedicine and Machine Learning Lab, Department of Computer and Information Sciences, University of Delaware, Newark, Delaware, USA
| | - Dai-Yin Lu
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland, USA.,Division of General Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.,Institute of Public Health, National Yang-Ming University, Taipei, Taiwan.,Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California San Francisco, San Francisco, California, USA
| | - Ioannis Ventoulis
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland, USA
| | - Gabriela V Greenland
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland, USA.,Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California San Francisco, San Francisco, California, USA
| | - Hulya Yalcin
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland, USA
| | - Yufan Guan
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland, USA
| | - Joseph E Marine
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland, USA
| | - Jeffrey E Olgin
- Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California San Francisco, San Francisco, California, USA
| | - Stefan L Zimmerman
- Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Theodore P Abraham
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland, USA.,Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California San Francisco, San Francisco, California, USA
| | - M Roselle Abraham
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland, USA.,Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California San Francisco, San Francisco, California, USA
| | - Hagit Shatkay
- Computational Biomedicine and Machine Learning Lab, Department of Computer and Information Sciences, University of Delaware, Newark, Delaware, USA
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10
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Sciagrà R. Transient ischemic dilation in hypertrophic cardiomyopathy: A complex sign in a complex disease. J Nucl Cardiol 2020; 27:2044-2047. [PMID: 30547297 DOI: 10.1007/s12350-018-01567-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Accepted: 12/04/2018] [Indexed: 10/27/2022]
Affiliation(s)
- Roberto Sciagrà
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Largo Brambilla 3, 50134, Florence, Italy.
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11
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Lu DY, Yalçin H, Sivalokanathan S, Greenland GV, Vasquez N, Yalçin F, Zhao M, Valenta I, Ganz P, Pampaloni MH, Zimmerman S, Schindler TH, Abraham TP, Abraham MR. Higher incidence of vasodilator-induced left ventricular cavity dilation by PET when compared to treadmill exercise-ECHO in hypertrophic cardiomyopathy. J Nucl Cardiol 2020; 27:2031-2043. [PMID: 30456498 DOI: 10.1007/s12350-018-01521-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Accepted: 10/26/2018] [Indexed: 11/30/2022]
Abstract
BACKGROUND Vasodilator-induced transient left ventricular cavity dilation (LVCD) by positron emission tomography (PET) is associated with microvascular dysfunction in hypertrophic cardiomyopathy (HCM). Here we assessed whether HCM patients who develop LVCD by PET during vasodilator stress also develop LV cavity dilation by echocardiography (ECHO-LVCD) following exercise stress. METHODS A retrospective analysis of cardiac function and myocardial blood flow (MBF) was conducted in 108 HCM patients who underwent perfusion-PET and exercise-ECHO as part of their clinical evaluation. We performed a head-to-head comparison of LV volumes and ejection fraction (LVEF) at rest and stress (during vasodilator stress, post-exercise), in 108 HCM patients. A ratio > 1.13 of stress to rest LV volumes was used to define PET-LVCD, and a ratio > 1.17 of stress to rest LVESV was used to define ECHO-LVCD. Patients were divided into 2 groups based on the presence/absence of PET-LVCD. MBF and myocardial flow reserve were quantified by PET, and global longitudinal strain (GLS) was assessed by ECHO at rest/stress in the two groups. RESULTS PET-LVCD was observed in 51% (n = 55) of HCM patients, but only one patient had evidence of ECHO-LVCD (ratio = 1.36)-this patient also had evidence of PET-LVCD (ratio = 1.20). The PET-LVCD group had lower PET-LVEF during vasodilator stress, but ECHO-LVEF increased in both groups post-exercise. The PET-LVCD group demonstrated higher LV mass, worse GLS at rest/stress, and lower myocardial flow reserve. Incidence of ischemic ST-T changes was higher in the PET-LVCD group during vasodilator stress (42 vs 17%), but similar (30%) in the two groups during exercise. CONCLUSION PET-LVCD reflects greater degree of myopathy and microvascular dysfunction in HCM. Differences in the cardiac effects of exercise and vasodilators and timing of stress-image acquisition could underlie discordance in ischemic EKG changes and LVCD by ECHO and PET, in HCM.
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Affiliation(s)
- Dai-Yin Lu
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, MD, USA
- Division of Cardiology, Taipei Veterans General Hospital, Taipei, Taiwan
- Institute of Public Health, National Yang-Ming University, Taipei, Taiwan
| | - Hulya Yalçin
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, MD, USA
| | - Sanjay Sivalokanathan
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, MD, USA
| | - Gabriela V Greenland
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, MD, USA
- Division of Cardiology, University of California San Francisco, 555 Mission Bay Blvd South, Smith Cardiovascular Research Building, 452K, San Francisco, CA, 94158, USA
| | - Nestor Vasquez
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, MD, USA
| | - Fatih Yalçin
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, MD, USA
| | - Min Zhao
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Ines Valenta
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Peter Ganz
- Division of Cardiology, University of California San Francisco, 555 Mission Bay Blvd South, Smith Cardiovascular Research Building, 452K, San Francisco, CA, 94158, USA
| | - Miguel Hernandez Pampaloni
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
| | - Stefan Zimmerman
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Thomas H Schindler
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Theodore P Abraham
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, MD, USA
- Division of Cardiology, University of California San Francisco, 555 Mission Bay Blvd South, Smith Cardiovascular Research Building, 452K, San Francisco, CA, 94158, USA
| | - M Roselle Abraham
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, MD, USA.
- Division of Cardiology, University of California San Francisco, 555 Mission Bay Blvd South, Smith Cardiovascular Research Building, 452K, San Francisco, CA, 94158, USA.
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12
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EANM procedural guidelines for PET/CT quantitative myocardial perfusion imaging. Eur J Nucl Med Mol Imaging 2020; 48:1040-1069. [PMID: 33135093 PMCID: PMC7603916 DOI: 10.1007/s00259-020-05046-9] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 09/17/2020] [Indexed: 12/19/2022]
Abstract
The use of cardiac PET, and in particular of quantitative myocardial perfusion PET, has been growing during the last years, because scanners are becoming widely available and because several studies have convincingly demonstrated the advantages of this imaging approach. Therefore, there is a need of determining the procedural modalities for performing high-quality studies and obtaining from this demanding technique the most in terms of both measurement reliability and clinical data. Although the field is rapidly evolving, with progresses in hardware and software, and the near perspective of new tracers, the EANM Cardiovascular Committee found it reasonable and useful to expose in an updated text the state of the art of quantitative myocardial perfusion PET, in order to establish an effective use of this modality and to help implementing it on a wider basis. Together with the many steps necessary for the correct execution of quantitative measurements, the importance of a multiparametric approach and of a comprehensive and clinically useful report have been stressed.
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13
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Sciagrà R, Milan E, Giubbini R, Kubik T, Di Dato R, Gallo L, Camoni L, Allocca M, Calabretta R. Sub-endocardial and sub-epicardial measurement of myocardial blood flow using 13NH 3 PET in man. J Nucl Cardiol 2020; 27:1665-1674. [PMID: 30238298 DOI: 10.1007/s12350-018-1445-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 09/05/2018] [Indexed: 11/25/2022]
Abstract
BACKGROUND This study examined whether measuring myocardial blood flow (MBF) in the sub-endocardial (SEN) and sub-epicardial (SEP) layers of the left ventricular myocardium using 13NH3 positron emission tomography (PET) and an automated procedure gives reasonable results in patients with known or suspected coronary artery disease (CAD). METHODS Resting and stress 13NH3 dynamic PET were performed in 70 patients. Using ≥ 70% diameter stenosis in invasive coronary angiography (ICA) to identify significant CAD, we examined the diagnostic value of SEN- and SEP-MBF, and coronary flow reserve (CFR) vs. the corresponding conventional data averaged on the whole wall thickness. RESULTS ICA demonstrated 36 patients with significant CAD. Their global stress average [1.61 (1.26, 1.87) mL·min-1·g-1], SEN [1.39 (1.2, 1.59) mL·min-1·g-1] and SEP [1.22 (0.96, 1.44) mL·min-1·g-1] MBF were significantly lower than in the 34 no-CAD patients: 2.05 (1.76, 2.52), 1.72 (1.53, 1.89) and 1.46 (1.23, 1.89) mL·min-1·g-1, respectively, all P < .005. In the 60 CAD vs. the 150 non-CAD territories, stress average MBF was 1.52 (1.10, 1.83) vs. 2.06 (1.69, 2.48) mL·min-1·g-1, SEN-MBF 1.33 (1.02, 1.58) vs. 1.66 (1.35, 1.93) mL·min-1·g-1, and SEP-MBF 1.07 (0.80, 1.29) vs. 1.40 (1.12, 1.69) mL·min-1·g-1, respectively, all P < .05. Using receiver operating characteristics analysis for the presence of significant CAD, the areas under the curve (AUC) were all significant (P < .0001 vs. AUC = 0.5) and similar: stress average MBF = 0.79, SEN-MBF = 0.75, and SEP-MBF = 0.73. AUC was 0.77 for the average CFR, 0.75 for SEN, and 0.70 for SEP CFR. The stress transmural perfusion gradient (TPG) AUC (0.51) was not significant. However, stress TPG was significantly lower in segments subtended by totally occluded arteries vs. those subtended by sub-total stenoses: 1.10 (0.86, 1.33) vs. 1.24 (0.98, 1.56), respectively, P < .005. CONCLUSION Automatic assessment of SEN- and SEP-MBF (and CFR) using 13NH3 PET gives reasonable results that are in good agreement with the conventional average whole wall thickness data. Further studies are needed to examine the utility of layer measurements such as in patients with hibernating myocardium or microvascular disease.
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Affiliation(s)
- Roberto Sciagrà
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Largo Brambilla 3, 50134, Florence, Italy.
| | - Elisa Milan
- Nuclear Medicine Unit, San Giacomo Apostolo Hospital, Castelfranco Veneto, TV, Italy
| | - Raffaele Giubbini
- Chair of Nuclear Medicine and Nuclear Medicine Unit, Department of Medical Imaging, University and Spedali Civili, Brescia, Italy
| | - Tomasz Kubik
- PMOD Technologies LLC, Zurich, Switzerland
- Institute of Metrology and Biomedical Engineering, Warsaw University of Technology, Warsaw, Poland
| | - Rossella Di Dato
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Largo Brambilla 3, 50134, Florence, Italy
| | - Lara Gallo
- Nuclear Medicine Unit, San Giacomo Apostolo Hospital, Castelfranco Veneto, TV, Italy
| | - Luca Camoni
- Chair of Nuclear Medicine and Nuclear Medicine Unit, Department of Medical Imaging, University and Spedali Civili, Brescia, Italy
| | - Michela Allocca
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Largo Brambilla 3, 50134, Florence, Italy
| | - Raffaella Calabretta
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Largo Brambilla 3, 50134, Florence, Italy
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Schindler TH, Brown DL, Sadhu JS. Adding clinical value with coronary flow assessment in hypertrophic obstructive cardiomyopathy. IJC HEART & VASCULATURE 2020; 27:100512. [PMID: 32310245 PMCID: PMC7154312 DOI: 10.1016/j.ijcha.2020.100512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Accepted: 03/30/2020] [Indexed: 11/28/2022]
Affiliation(s)
- Thomas H. Schindler
- Mallinckrodt Institute of Radiology, Division of Nuclear Medicine, Washington University School of Medicine, St. Louis, MO, USA
- Cardiovascular Division, John T. Milliken Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - David L. Brown
- Cardiovascular Division, John T. Milliken Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Justin S. Sadhu
- Cardiovascular Division, John T. Milliken Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA
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15
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Schindler TH. Emergence of endocardium/epicardium flow gradient as novel risk biomarker in patients with hypertrophic cardiomyopathy. IJC HEART & VASCULATURE 2020; 26:100467. [PMID: 32142065 PMCID: PMC7046536 DOI: 10.1016/j.ijcha.2019.100467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2019] [Accepted: 12/30/2019] [Indexed: 11/23/2022]
Affiliation(s)
- Thomas H. Schindler
- Corresponding author at: Washington University in St. Louis, Mallinckrodt Institute of Radiology-Division of Nuclear Medicine, 510 S. Kingshighway, Campus Box 8223, St. Louis, MO 63110, USA.
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16
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Lu DY, Ventoulis I, Liu H, Kudchadkar SM, Greenland GV, Yalcin H, Kontari E, Goyal S, Corona-Villalobos CP, Vakrou S, Zimmerman SL, Abraham TP, Abraham MR. Sex-specific cardiac phenotype and clinical outcomes in patients with hypertrophic cardiomyopathy. Am Heart J 2020; 219:58-69. [PMID: 31726421 DOI: 10.1016/j.ahj.2019.10.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 10/06/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND It is unknown whether sex-specific differences in mortality observed in HCM are due to older age of women at presentation, or whether women have greater degree of LV myopathy than men. METHODS We retrospectively compared clinical/imaging characteristics and outcomes between women and men in our overall cohort composed of 728 HCM patients, and in an age-matched subgroup comprised of 400 age-matched patients. We examined sex-specific differences in LV myopathy, and dissected the influence of age and sex on outcomes. LV myopathy was assessed by measuring LV mass, LVEF, global peak longitudinal systolic strain (LV-GLS), diastolic function (E/A, E/e'), late gadolinium enhancement (LV-LGE) and myocardial blood flow (MBF) at rest/stress. The primary endpoint was a composite outcome, comprising heart failure (HF), atrial fibrillation (AFib), ventricular tachycardia/fibrillation (VT/VF) and death; individual outcomes were defined as the secondary endpoint. RESULTS Women in the overall cohort were older by 6 years. Women were more symptomatic and more likely to have obstructive HCM. Women had smaller LV cavity size, stroke volume and LV mass, higher indexed maximum wall thickness (IMWT), more hyperdynamic LVEF and higher/similar LV-GLS. Women had similar LV-LGE and E/A, but higher E/e' and rest/stress MBF. Female sex was independently associated with the composite outcome in the overall cohort, and with HF in the overall cohort and age-matched subgroup after adjusting for obstructive HCM, LA diameter, LV-GLS. CONCLUSIONS Our results suggest that sex-specific differences in LV geometry, hyper-contractility and diastolic function, not greater degree of LV myopathy, contribute to a higher, age-independent risk of diastolic HF in women with HCM.
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17
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Positron emission tomography ( 15O-water, 11C-acetate, 11C-HED) risk markers and nonsustained ventricular tachycardia in hypertrophic cardiomyopathy. IJC HEART & VASCULATURE 2019; 26:100452. [PMID: 32140548 PMCID: PMC7046493 DOI: 10.1016/j.ijcha.2019.100452] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Accepted: 12/06/2019] [Indexed: 12/25/2022]
Abstract
Background The objectives of the study were to describe positron emission tomography (PET) parameters, using the tracers 15O-water at rest/stress, 11C-acetate, and 11C-HED, with regard to nonsustained ventricular tachycardia (NSVT) in hypertrophic cardiomyopathy (HCM). PET offers quantitative assessment of pathophysiology throughout the left ventricular segments, including the endocardium/epicardium. The potential use PET in risk stratification remains to be elucidated. NSVT provides a marker for sudden cardiac death. Methods Patients with a validated diagnosis of HCM who had an implantable cardioverter-defibrillator were interrogated at 12 months and independently of PET-examinations. Results In total, 25 patients (mean age 56.8 ± 12.9 years, 76% males) were included and 10 reported NSVT. Mean myocardial blood flow (MBF) at rest was 0.91 ml/g/min and decreased at stress, 1.59 ml/g/min. The mean gradient (endocardium/epicardium quotient) at rest was 1.14 ± 0.09, while inverse at stress (mean 0.92 ± 0.16). Notably, MBF gradient at stress was significantly lower in patients with NSVT (p = 0.022) and borderline at rest (p = 0.059) while global MBF at rest and stress were not. Mean myocardial oxygen consumption (MVO2) was 0.088 ml/g/min (higher in NSVT, p = 0.023) and myocardial external efficiency 18.5%. Using 11C-HED, the mean retention index was 0.11 min−1 and a higher volume of distribution (p = 0.089) or transmural gradient of clearance rate (p = 0.061) or lower clearance rate (p = 0.052) showed a tendency of association of NSVT. Conclusions The endocardium/epicardium MBF gradient at stress is significantly lower in HCM patients with NSVT. This provides a novel approach to further refine risk stratification of sudden cardiac death.
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18
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Yalcin H, Valenta I, Zhao M, Tahari A, Lu DY, Higuchi T, Yalcin F, Kucukler N, Soleimanifard Y, Zhou Y, Pomper MG, Abraham TP, Tsui B, Lodge MA, Schindler TH, Roselle Abraham M. Comparison of two software systems for quantification of myocardial blood flow in patients with hypertrophic cardiomyopathy. J Nucl Cardiol 2019; 26:1243-1253. [PMID: 29359273 DOI: 10.1007/s12350-017-1155-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Accepted: 10/17/2017] [Indexed: 10/18/2022]
Abstract
BACKGORUND Quantification of myocardial blood flow (MBF) by positron emission tomography (PET) is important for investigation of angina in hypertrophic cardiomyopathy (HCM). Several software programs exist for MBF quantification, but they have been mostly evaluated in patients (with normal cardiac geometry), referred for evaluation of coronary artery disease (CAD). Software performance has not been evaluated in HCM patients who frequently have hyperdynamic LV function, LV outflow tract (LVOT) obstruction, small LV cavity size, and variation in the degree/location of LV hypertrophy. AIM We compared results of MBF obtained using PMod, which permits manual segmentation, to those obtained by FDA-approved QPET software which has an automated segmentation algorithm. METHODS 13N-ammonia PET perfusion data were acquired in list mode at rest and during pharmacologic vasodilation, in 76 HCM patients and 10 non-HCM patients referred for evaluation of CAD (CAD group.) Data were resampled to create static, ECG-gated and 36-frame-dynamic images. Myocardial flow reserve (MFR) and MBF (in ml/min/g) were calculated using QPET and PMod softwares. RESULTS All HCM patients had asymmetric septal hypertrophy, and 50% had evidence of LVOT obstruction, whereas non-HCM patients (CAD group) had normal wall thickness and ejection fraction. PMod yielded significantly higher values for global and regional stress-MBF and MFR than for QPET in HCM. Reasonably fair correlation was observed for global rest-MBF, stress-MBF, and MFR using these two softwares (rest-MBF: r = 0.78; stress-MBF: r = 0.66.; MFR: r = 0.7) in HCM patients. Agreement between global MBF and MFR values improved when HCM patients with high spillover fractions (> 0.65) were excluded from the analysis (rest-MBF: r = 0.84; stress-MBF: r = 0.72; MFR: r = 0.8.) Regionally, the highest agreement between PMod and QPET was observed in the LAD territory (rest-MBF: r = 0.82, Stress-MBF: r = 0.68) where spillover fraction was the lowest. Unlike HCM patients, the non-HCM patients (CAD group) demonstrated excellent agreement in MBF/MFR values, obtained by the two softwares, when patients with high spillover fractions were excluded (rest-MBF: r = 0.95; stress-MBF: r = 0.92; MFR: r = 0.95). CONCLUSIONS Anatomic characteristics specific to HCM hearts contribute to lower correlations between MBF/MFR values obtained by PMod and QPET, compared with non-HCM patients. These differences indicate that PMod and QPET cannot be used interchangeably for MBF/MFR analyses in HCM patients.
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Affiliation(s)
- Hulya Yalcin
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Ines Valenta
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Min Zhao
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Abdel Tahari
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Dai-Yin Lu
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- Institute of Public Health, National Yang-Ming University, Taipei, Taiwan
| | | | - Fatih Yalcin
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Nagehan Kucukler
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Yalda Soleimanifard
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Yun Zhou
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Martin G Pomper
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Theodore P Abraham
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Hypertrophic Cardiomyopathy Center, UCSF Division of Cardiology, 555 Mission Bay Blvd South, Smith Cardiovascular Research Building, 252G, San Francisco, CA, USA
| | - Ben Tsui
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Martin A Lodge
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Thomas H Schindler
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - M Roselle Abraham
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins School of Medicine, Baltimore, MD, USA.
- Hypertrophic Cardiomyopathy Center, UCSF Division of Cardiology, 555 Mission Bay Blvd South, Smith Cardiovascular Research Building, 252G, San Francisco, CA, USA.
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Moody WE, Schmitt M, Arumugam P. Coronary microvascular dysfunction in hypertrophic cardiomyopathy detected by Rubidium-82 positron emission tomography and cardiac magnetic resonance imaging. J Nucl Cardiol 2019; 26:666-670. [PMID: 29516367 PMCID: PMC6430745 DOI: 10.1007/s12350-018-1245-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Accepted: 02/15/2018] [Indexed: 11/25/2022]
Affiliation(s)
- William E Moody
- Department of Cardiology, Nuffield House, Queen Elizabeth Hospital Birmingham, Birmingham, B15 2TH, UK.
- Nuclear Medicine Centre, Manchester Royal Infirmary, Manchester, M13 9WL, UK.
| | - Matthias Schmitt
- Department of Cardiology, University Hospital of South Manchester NHS Foundation Trust, Southmoor Road, Wythenshawe, Manchester, M23 9LT, UK
| | - Parthiban Arumugam
- Nuclear Medicine Centre, Manchester Royal Infirmary, Manchester, M13 9WL, UK
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20
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Microvascular Dysfunction in Hypertrophic Cardiomyopathy. CURRENT CARDIOVASCULAR IMAGING REPORTS 2019. [DOI: 10.1007/s12410-019-9478-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Lu DY, Yalçin H, Yalçin F, Zhao M, Sivalokanathan S, Valenta I, Tahari A, Pomper MG, Abraham TP, Schindler TH, Abraham MR. Stress Myocardial Blood Flow Heterogeneity Is a Positron Emission Tomography Biomarker of Ventricular Arrhythmias in Patients With Hypertrophic Cardiomyopathy. Am J Cardiol 2018; 121:1081-1089. [PMID: 29678336 DOI: 10.1016/j.amjcard.2018.01.022] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Revised: 01/03/2018] [Accepted: 01/09/2018] [Indexed: 02/01/2023]
Abstract
Patients with hypertrophic cardiomyopathy (HC) are at increased risk of sudden cardiac death. Abnormalities in myocardial blood flow (MBF) detected by positron emission tomography (PET) are common in HC, but a PET marker that identifies patients at risk of sudden cardiac death is lacking. We hypothesized that disparities in regional myocardial perfusion detected by PET would identify patients with HC at risk of ventricular arrhythmias. To test this hypothesis, we quantified global and regional MBFs by 13NH3-PET at rest and at stress, and developed a heterogeneity index to assess MBF heterogeneity in 133 symptomatic patients with HC. The MBF heterogeneity index was computed by dividing the highest by the lowest regional MBF value, at rest and after vasodilator stress, in each patient. High stress MBF heterogeneity was defined as an index of ≧1.85. Patients with HC were stratified by the presence or the absence of ventricular arrhythmias, defined as sustained ventricular tachycardia (VT) and/or nonsustained VT, during follow-up. We found that global and regional MBFs at rest and stress were similar in patients with HC with or without ventricular arrhythmias. Variability in regional stress MBF was observed in both groups, but the stress MBF heterogeneity index was significantly higher in patients with HC who developed ventricular arrhythmias (1.82 ± 0.77 vs 1.49 ± 0.25, p <0.001). A stress MBF heterogeneity index of ≧1.85 was an independent predictor of both sustained VT (hazard ratio 16.1, 95% confidence interval 3.2 to 80.3) and all-VT (sustained-VT + nonsustained VT: hazard ratio 3.7, 95% confidence interval 1.4 to 9.7). High heterogeneity of stress MBF, reflected by an MBF heterogeneity index of ≥1.85, is a PET biomarker for ventricular arrhythmias in symptomatic patients with HC.
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Affiliation(s)
- Dai-Yin Lu
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland; Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Public Health, National Yang-Ming University, Taipei, Taiwan
| | - Hulya Yalçin
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland
| | - Fatih Yalçin
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland
| | - Min Zhao
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
| | - Sanjay Sivalokanathan
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland
| | - Ines Valenta
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
| | - Abdel Tahari
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
| | - Martin G Pomper
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
| | - Theodore P Abraham
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland; Hypertrophic Cardiomyopathy Center, Division of Cardiology, University of California San Francisco, San Francisco, California
| | - Thomas H Schindler
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
| | - M Roselle Abraham
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland; Hypertrophic Cardiomyopathy Center, Division of Cardiology, University of California San Francisco, San Francisco, California.
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