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Wang J, Zhang J, Liu W, Pu L, Qi W, Xu Y, Wan K, Gkoutos GV, Han Y, Chen Y. Prognostic Value of Myocardial T1 Mapping for Predicting Adverse Events in Hypertrophic Cardiomyopathy. Circ Cardiovasc Imaging 2025; 18:e017174. [PMID: 39957669 DOI: 10.1161/circimaging.124.017174] [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: 06/25/2024] [Accepted: 12/10/2024] [Indexed: 02/18/2025]
Abstract
BACKGROUND In patients with hypertrophic cardiomyopathy, the prognostic value of myocardial T1 and extracellular volume fraction for adverse cardiovascular events has not been well defined. METHODS A total of 663 consecutive participants with hypertrophic cardiomyopathy who underwent 3T cardiovascular magnetic resonance were recruited. The follow-up end points included heart failure (HF)-related death, HF hospitalization, and sudden cardiac death or aborted sudden cardiac death. RESULTS On Cox proportional hazards regression multivariable analyses, global native T1 excluding late gadolinium enhancement areas (hazard ratio [HR], 1.04 [95% CI, 0.99-1.09]; P=0.094) and global extracellular volume fraction excluding late gadolinium enhancement (HR, 1.02 [95% CI, 0.95-1.10]; P=0.565) were not associated with sudden cardiac death. Conversely, global native T1 (HR, 1.08 per 10 ms increase [95% CI, 1.02-1.16], P=0.014; HR, 1.05 per 10 ms increase [95% CI, 1.01-1.09]; P=0.009) and global extracellular volume fraction (HR, 1.23 per 1% increase [95% CI, 1.11-1.36], P<0.001; HR, 1.10 per 1% increase [95% CI, 1.04-1.16]; P<0.001) were independently associated with HF-related death and the composite end point of HF-related death or HF hospitalization in multivariable Cox models, respectively. CONCLUSIONS In this study of patients with hypertrophic cardiomyopathy, we found global native T1 and global extracellular volume fraction (excluding late gadolinium enhancement) to be both independently associated with HF-related events, but not sudden cardiac death in multivariable analysis. These findings are hypothesis-generating and will require external validation in larger cohorts. REGISTRATION URL: https://www.chictr.org.cn; Unique identifier: ChiCTR1900024094.
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MESH Headings
- Humans
- Cardiomyopathy, Hypertrophic/diagnostic imaging
- Cardiomyopathy, Hypertrophic/mortality
- Cardiomyopathy, Hypertrophic/physiopathology
- Cardiomyopathy, Hypertrophic/complications
- Male
- Female
- Middle Aged
- Prognosis
- Magnetic Resonance Imaging, Cine/methods
- Predictive Value of Tests
- Death, Sudden, Cardiac/etiology
- Death, Sudden, Cardiac/epidemiology
- Aged
- Risk Factors
- Contrast Media/administration & dosage
- Heart Failure/etiology
- Heart Failure/mortality
- Heart Failure/physiopathology
- Heart Failure/therapy
- Risk Assessment
- Adult
- Myocardium/pathology
- Ventricular Function, Left
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Affiliation(s)
- Jie Wang
- Department of Cardiology (J.W., W.L., L.P., W.Q., Y.X., Y.C.), West China Hospital, Sichuan University, Chengdu, China
- Cardiac Imaging and Target Therapy Lab (J.W., Y.C.), West China Hospital, Sichuan University, Chengdu, China
- College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences (J.W., G.V.G.), University of Birmingham, United Kingdom
| | - Jinquan Zhang
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, United Kingdom (J.Z.)
| | - Wei Liu
- Department of Cardiology (J.W., W.L., L.P., W.Q., Y.X., Y.C.), West China Hospital, Sichuan University, Chengdu, China
| | - Lutong Pu
- Department of Cardiology (J.W., W.L., L.P., W.Q., Y.X., Y.C.), West China Hospital, Sichuan University, Chengdu, China
| | - Weitang Qi
- Department of Cardiology (J.W., W.L., L.P., W.Q., Y.X., Y.C.), West China Hospital, Sichuan University, Chengdu, China
| | - Yuanwei Xu
- Department of Cardiology (J.W., W.L., L.P., W.Q., Y.X., Y.C.), West China Hospital, Sichuan University, Chengdu, China
| | - Ke Wan
- Department of Geriatrics (K.W.), West China Hospital, Sichuan University, Chengdu, China
| | - Georgios V Gkoutos
- College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences (J.W., G.V.G.), University of Birmingham, United Kingdom
- Center for Health Data Sciences (G.V.G.), University of Birmingham, United Kingdom
- Institute of Translational Medicine, University Hospitals Birmingham NHS Foundation Trust, United Kingdom (G.V.G.)
- Health Data Research UK, Midlands Site (G.V.G.)
| | - Yuchi Han
- Cardiovascular Division, Wexner Medical Center, The Ohio State University, Columbus (Y.H.)
| | - Yucheng Chen
- Department of Cardiology (J.W., W.L., L.P., W.Q., Y.X., Y.C.), West China Hospital, Sichuan University, Chengdu, China
- Cardiac Imaging and Target Therapy Lab (J.W., Y.C.), West China Hospital, Sichuan University, Chengdu, China
- Center of Rare Diseases (Y.C.), West China Hospital, Sichuan University, Chengdu, China
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Liu C, Ma Y, Qiao S, Li K, Qi M, Gu C, Zhang L, Wei J, Gao D. Impact of self-reported SARS-CoV-2 antibody positivity on cardiac structure and function: findings from UK Biobank CMR cohort. Front Cardiovasc Med 2025; 12:1462263. [PMID: 40083818 PMCID: PMC11903740 DOI: 10.3389/fcvm.2025.1462263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Accepted: 02/14/2025] [Indexed: 03/16/2025] Open
Abstract
Background SARS-CoV-2 antibody positivity, whether due to natural infection or vaccination, is known to be associated with specific cardiac and vascular damage, yet its impact on cardiac structure and function in prospective cohorts remains incompletely understood. Objective We aimed to assess cardiac changes in the UK Biobank cohort among individuals with self-reported seropositive results for SARS-CoV-2 antibodies. Methods UK Biobank participants with self-reported serological results for SARS-CoV-2 antibodies, who underwent their first cardiac magnetic resonance (CMR) scan after 2019 were included. Cardiac changes potentially associated with SARS-CoV-2 antibody positivity were assessed, with measurements of left ventricular (LV) parameters, including volume, dimensions, wall thickness, myocardial mass, cardiac output (CO), and cardiac index (CI), manually extracted from the CMR images. Propensity score matching (PSM) was used to pair seropositive and seronegative individuals. Native T1 was used to assess the within-subject changes in seropositive individuals. Logistic regression was performed to assess the association between SARS-CoV-2 antibody status and the incidence of LV hypertrophy. Results A total of 720 participants were included, with 453 individuals self-reporting as SARS-CoV-2 antibody positive. After PSM, 261 participants remained in each group. Over an average follow-up period of 110 days, significant decreases in CO and CI were observed in the paired participants. Additionally, native T1 values appeared to be elevated in seropositive participants (852.77 ± 53.55 ms vs. 860.01 ± 47.81 ms, P = 0.012). Logistic regression analysis in the overall cohort indicated an association between SARS-CoV-2 antibody positivity and an increased risk of LV hypertrophy, with an adjusted odds ratio of 3.257 [95% CI (1.036-10.239), P = 0.043]. Conclusions Our findings suggest subtle cardiac changes associated with SARS-CoV-2 antibody positivity within approximately hundred days. SARS-CoV-2 antibody positivity appeared to be associated with an increased risk of LV hypertrophy. However, these results are exploratory, and further longitudinal studies with extended follow-up are needed to better understand the long-term cardiac impact of SARS-CoV-2 antibody positivity.
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Affiliation(s)
- Chang Liu
- Department of Cardiology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yao Ma
- Department of Cardiology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Shiyuan Qiao
- Department of Cardiology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Kexin Li
- Department of Cardiology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Mengyao Qi
- Department of Cardiology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Chunyu Gu
- Department of Cardiology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China
| | - Lanxin Zhang
- Department of Cardiology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China
| | - Jia Wei
- Department of Cardiology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Dengfeng Gao
- Department of Cardiology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
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Ren Y, Du X, Li M, Chen L, Liu J, Wu Y, Lu Y. CMR assessment of epicardial edipose tissue in relation to myocardial inflammation and fibrosis in patients with new-onset atrial arrhythmias after STEMI. BMC Cardiovasc Disord 2025; 25:34. [PMID: 39833688 PMCID: PMC11748530 DOI: 10.1186/s12872-025-04486-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2024] [Accepted: 01/08/2025] [Indexed: 01/22/2025] Open
Abstract
BACKGROUND Previous studies have shown that epicardial edipose tissue(EAT) appears to be associated with myocardial inflammation and fibrosis, but this is not clear in patients with new-onset atrial arrhythmias after STEMI. The present study focused on using CMR to assess the association of epicardial fat with myocardial inflammation and fibrosis and its predictive value in patients with new-onset atrial arrhythmias after STEMI. METHODS This was a single-centre, retrospective study. We consecutively selected patients who completed CMR during their hospitalisation for PCI after STEMI from May 2019-January 2023, and then underwent regular follow-up, grouped by the presence or absence of new atrial arrhythmias, and enrolled patients were divided into atrial arrhythmia and non-atrial arrhythmia groups. RESULTS In the atrial arrhythmia group, age, heart rate, Peak hs-TnT, PeakNT-proBNP, EATV, LAES, LAED, T1 native, T1*, ECV, and T2 were higher than those in the non-atrial arrhythmia group, and LVEF was lower than those in the non-atrial arrhythmia group. EATV showed a positive and significant correlation with T1native, T1*, ECV, and T2. (T1 native: r = 0.476,p < 0.001; ECV: r = 0.529,p < 0.001; T1*: r = 0.467,p < 0.001; T2: r = 0.538,p < 0.001). Multifactorial logistic regression analysis showed age, LVEF, EATV, T1*,ECV, T2 as independent risk factors for atrial arrhythmia. (p < 0.05) ROC analysis showed that the AUC for age was 0.568; AUC for LVEF was 0.656; AUC for EATV was 0.768; AUC for ECV was 0.705; AUC for T1* was 0.612; and AUC for T2 was 0.772. CONCLUSION In patients with STEMI, EAT is associated with myocardial inflammation, fibrosis. Age, LVEF, EATV, T1*,ECV, T2 are independent risk factors for new onset atrial arrhythmias and have good predictive value.
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Affiliation(s)
- Yanfei Ren
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Xinjia Du
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Maochen Li
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Lei Chen
- Department of Cardiology, Tongji University School of Medicine, Shanghai Tenth People's Hospital, Shanghai, China
| | - Jiahua Liu
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Yixuan Wu
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China
| | - Yuan Lu
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99#, Huaihai West Road, Xuzhou, 221002, China.
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Tsampras T, Karamanidou T, Papanastasiou G, Stavropoulos TG. Deep learning for cardiac imaging: focus on myocardial diseases, a narrative review. Hellenic J Cardiol 2025; 81:18-24. [PMID: 39662734 DOI: 10.1016/j.hjc.2024.12.002] [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: 11/11/2024] [Accepted: 12/04/2024] [Indexed: 12/13/2024] Open
Abstract
The integration of computational technologies into cardiology has significantly advanced the diagnosis and management of cardiovascular diseases. Computational cardiology, particularly, through cardiovascular imaging and informatics, enables a precise diagnosis of myocardial diseases utilizing techniques such as echocardiography, cardiac magnetic resonance imaging, and computed tomography. Early-stage disease classification, especially in asymptomatic patients, benefits from these advancements, potentially altering disease progression and improving patient outcomes. Automatic segmentation of myocardial tissue using deep learning (DL) algorithms improves efficiency and consistency in analyzing large patient populations. Radiomic analysis can reveal subtle disease characteristics from medical images and can enhance disease detection, enable patient stratification, and facilitate monitoring of disease progression and treatment response. Radiomic biomarkers have already demonstrated high diagnostic accuracy in distinguishing myocardial pathologies and promise treatment individualization in cardiology, earlier disease detection, and disease monitoring. In this context, this narrative review explores the current state of the art in DL applications in medical imaging (CT, CMR, echocardiography, and SPECT), focusing on automatic segmentation, radiomic feature phenotyping, and prediction of myocardial diseases, while also discussing challenges in integration of DL models in clinical practice.
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Sanghvi MM, Ramírez J, Chadalavada S, Aung N, Munroe PB, Donos N, Petersen SE. The Association Between Periodontal Disease and Cardiovascular Disease: Insights From Imaging, Observational, and Genetic Data. JACC. ADVANCES 2024; 3:101241. [PMID: 39290820 PMCID: PMC11406040 DOI: 10.1016/j.jacadv.2024.101241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 08/06/2024] [Accepted: 08/06/2024] [Indexed: 09/19/2024]
Abstract
Background Periodontal disease is the sixth most common disease worldwide and may be a contributory risk factor for cardiovascular disease (CVD). Objectives This study utilizes noninvasive cardiac imaging and longitudinal and genetic data to characterize the association between periodontal disease and both cardiovascular magnetic resonance (CMR) imaging biomarkers of remodeling and incident coronary artery disease (CAD). Methods From the UK Biobank, 481,915 individuals were included, 91,022 (18.9%) of whom had self-reported periodontal disease. For imaging analysis, 59,019 had paired CMR data. Multivariable linear regression models were constructed to examine the association of periodontal disease on CMR outcomes. The endpoints for the CMR analyses were left ventricle (LV) end-diastolic volume, LV ejection fraction, LV mass, LV mass:volume ratio, LV global longitudinal strain, and native T1 values. The relationship between periodontal disease and CVD was assessed using Cox proportional hazards regression models, with incident CAD as the endpoint. To examine the relationship of genetically determined periodontal disease on CAD, a genome-wide polygenic risk score was constructed. Results Periodontal disease was associated with a significantly higher LV mass:volume ratio (effect size: 0.00233; 95% CI: 0.0006-0.004) and significantly lower T1 values (effect size: -0.86 ms; 95% CI: -1.63 to -0.09). Periodontal disease was independently associated with an increased hazard of incident CAD (HR: 1.09; 95% CI: 1.07-1.13) at a median follow-up time of 13.8 years. Each SD increase in the periodontal disease polygenic risk score was associated with increased odds of CAD (OR: 1.03; 95% CI: 1.02-1.05). Conclusions Using an integrated approach across imaging, observational, and genomic data, periodontal disease is associated with biomarkers of subclinical remodeling as well as incident CAD. These findings highlight the potential importance of periodontal disease in the broader context of CVD prevention.
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Affiliation(s)
- Mihir M Sanghvi
- William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
- Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom
| | - Julia Ramírez
- William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
- Aragon Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain
- Centro de Investigación Biomédica en Red-Biomedicina, Bioingeniería y Nanomedicina, Zaragoza, Spain
| | - Sucharitha Chadalavada
- William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
- Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom
| | - Nay Aung
- William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
- Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom
| | - Patricia B Munroe
- William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
| | - Nikolaos Donos
- Institute of Dentistry, Centre for Oral Clinical Research, Faculty of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Steffen E Petersen
- William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
- Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom
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Fenski M, Abazi E, Gröschel J, Hadler T, Kappelmayer D, Kolligs F, Prieto C, Botnar R, Kunze KP, Schulz-Menger J. Cardiovascular magnetic resonance reveals myocardial involvement in patients with active stage of inflammatory bowel disease. Clin Res Cardiol 2024:10.1007/s00392-024-02503-5. [PMID: 39102000 DOI: 10.1007/s00392-024-02503-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 07/22/2024] [Indexed: 08/06/2024]
Abstract
BACKGROUND Active inflammatory bowel disease (A-IBD) but not remission (R-IBD) has been associated with an increased risk of cardiovascular death and hospitalization for heart failure. OBJECTIVES Using cardiovascular magnetic resonance (CMR), this study aims to assess adverse myocardial remodeling in patients with IBD in correlation with disease activity. METHODS Forty-four IBD patients without cardiovascular disease (24 female, median-age: 39.5 years, 26 A-IBD, 18 R-IBD) and 44 matched healthy volunteers (HV) were prospectively enrolled. The disease stage was determined by endoscopic and patient-reported criteria. Participants underwent CMR for cardiac phenotyping: cine imaging and strain analysis were performed to assess ventricular function. T1 mapping, extracellular volume and late-gadolinium enhanced images were obtained to assess focal and diffuse myocardial fibrosis. Simultaneous T1 and T2 elevation (T1 > 1049.3 ms, T2 > 54 ms) was considered to indicate a myocardial segment was inflamed. RESULTS 16/44 (16.4%) IBD patients described dyspnea on exertion and 10/44 (22.7%) reported chest pain. A-IBD patients showed impaired ventricular function, indicated by reduced global circumferential and radial strain despite preserved left-ventricular ejection fraction. 16% of all IBD patients had focal fibrosis in a non-ischemic pattern. A-IDB patients had increased markers of diffuse left ventricular fibrosis (T1-values: A-IBD: 1022.0 ± 34.83 ms, R-IBD: 1010.10 ± 32.88 ms, HV: 990.61 ± 29.35 ms, p < .01). Significantly more participants with A-IDB (8/26, 30.8%) had at least one inflamed myocardial segment than patients in remission (0/18) and HV (1/44, 2.3%, p < .01). Markers of diffuse fibrosis correlated with disease activity. CONCLUSION This study, using CMR, provides evidence of myocardial involvement and patterns of adverse left ventricular remodeling in patients with IBD. CLINICAL TRIAL REGISTRATION ISRCTN30941346.
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Affiliation(s)
- Maximilian Fenski
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research CenterMax-Delbrück Center for Molecular MedicineDepartment of Cardiology and Nephrology, Charité Medical Faculty, HELIOS Klinikum Berlin Buch, Charité - Universitätsmedizin Berlin Lindenberger Weg 80, 13125, Berlin, Germany
| | - Endri Abazi
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research CenterMax-Delbrück Center for Molecular MedicineDepartment of Cardiology and Nephrology, Charité Medical Faculty, HELIOS Klinikum Berlin Buch, Charité - Universitätsmedizin Berlin Lindenberger Weg 80, 13125, Berlin, Germany
| | - Jan Gröschel
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research CenterMax-Delbrück Center for Molecular MedicineDepartment of Cardiology and Nephrology, Charité Medical Faculty, HELIOS Klinikum Berlin Buch, Charité - Universitätsmedizin Berlin Lindenberger Weg 80, 13125, Berlin, Germany
| | - Thomas Hadler
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research CenterMax-Delbrück Center for Molecular MedicineDepartment of Cardiology and Nephrology, Charité Medical Faculty, HELIOS Klinikum Berlin Buch, Charité - Universitätsmedizin Berlin Lindenberger Weg 80, 13125, Berlin, Germany
| | - Diane Kappelmayer
- Department of Internal Medicine and Gastroenterology, HELIOS Klinikum Berlin Buch, Berlin, Germany
| | - Frank Kolligs
- Department of Internal Medicine and Gastroenterology, HELIOS Klinikum Berlin Buch, Berlin, Germany
| | - Claudia Prieto
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Rene Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
- Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Karl-Philipp Kunze
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK
| | - Jeanette Schulz-Menger
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research CenterMax-Delbrück Center for Molecular MedicineDepartment of Cardiology and Nephrology, Charité Medical Faculty, HELIOS Klinikum Berlin Buch, Charité - Universitätsmedizin Berlin Lindenberger Weg 80, 13125, Berlin, Germany.
- DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
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Raisi-Estabragh Z, Szabo L, Schuermans A, Salih AM, Chin CWL, Vágó H, Altmann A, Ng FS, Garg P, Pavanello S, Marwick TH, Petersen SE. Noninvasive Techniques for Tracking Biological Aging of the Cardiovascular System: JACC Family Series. JACC Cardiovasc Imaging 2024; 17:533-551. [PMID: 38597854 DOI: 10.1016/j.jcmg.2024.03.001] [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: 10/04/2023] [Revised: 03/01/2024] [Accepted: 03/01/2024] [Indexed: 04/11/2024]
Abstract
Population aging is one of the most important demographic transformations of our time. Increasing the "health span"-the proportion of life spent in good health-is a global priority. Biological aging comprises molecular and cellular modifications over many years, which culminate in gradual physiological decline across multiple organ systems and predispose to age-related illnesses. Cardiovascular disease is a major cause of ill health and premature death in older people. The rate at which biological aging occurs varies across individuals of the same age and is influenced by a wide range of genetic and environmental exposures. The authors review the hallmarks of biological cardiovascular aging and their capture using imaging and other noninvasive techniques and examine how this information may be used to understand aging trajectories, with the aim of guiding individual- and population-level interventions to promote healthy aging.
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Affiliation(s)
- Zahra Raisi-Estabragh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom.
| | - Liliana Szabo
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom; Semmelweis University, Heart and Vascular Center, Budapest, Hungary
| | - Art Schuermans
- Faculty of Medicine, KU Leuven, Leuven, Belgium; Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts, USA; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ahmed M Salih
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Department of Population Health Sciences, University of Leicester, Leicester UK; Department of Computer Science, Faculty of Science, University of Zakho, Zakho, Kurdistan Region, Iraq
| | - Calvin W L Chin
- Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore; Cardiovascular Academic Clinical Programme, Duke National University of Singapore Medical School, Singapore, Singapore
| | - Hajnalka Vágó
- Semmelweis University, Heart and Vascular Center, Budapest, Hungary
| | - Andre Altmann
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Fu Siong Ng
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Pankaj Garg
- University of East Anglia, Norwich Medical School, Norwich, United Kingdom; Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, United Kingdom
| | - Sofia Pavanello
- Occupational Medicine, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, Padua, Italy; Padua Hospital, Occupational Medicine Unit, Padua, Italy; University Center for Space Studies and Activities "Giuseppe Colombo" - CISAS, University of Padua, Padua, Italy
| | | | - Steffen E Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom; Health Data Research UK, London, United Kingdom
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Schuermans A, Vlasschaert C, Nauffal V, Cho SMJ, Uddin MM, Nakao T, Niroula A, Klarqvist MDR, Weeks LD, Lin AE, Saadatagah S, Lannery K, Wong M, Hornsby W, Lubitz SA, Ballantyne C, Jaiswal S, Libby P, Ebert BL, Bick AG, Ellinor PT, Natarajan P, Honigberg MC. Clonal haematopoiesis of indeterminate potential predicts incident cardiac arrhythmias. Eur Heart J 2024; 45:791-805. [PMID: 37952204 PMCID: PMC10919923 DOI: 10.1093/eurheartj/ehad670] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 09/07/2023] [Accepted: 09/26/2023] [Indexed: 11/14/2023] Open
Abstract
BACKGROUND AND AIMS Clonal haematopoiesis of indeterminate potential (CHIP), the age-related expansion of blood cells with preleukemic mutations, is associated with atherosclerotic cardiovascular disease and heart failure. This study aimed to test the association of CHIP with new-onset arrhythmias. METHODS UK Biobank participants without prevalent arrhythmias were included. Co-primary study outcomes were supraventricular arrhythmias, bradyarrhythmias, and ventricular arrhythmias. Secondary outcomes were cardiac arrest, atrial fibrillation, and any arrhythmia. Associations of any CHIP [variant allele fraction (VAF) ≥ 2%], large CHIP (VAF ≥10%), and gene-specific CHIP subtypes with incident arrhythmias were evaluated using multivariable-adjusted Cox regression. Associations of CHIP with myocardial interstitial fibrosis [T1 measured using cardiac magnetic resonance (CMR)] were also tested. RESULTS This study included 410 702 participants [CHIP: n = 13 892 (3.4%); large CHIP: n = 9191 (2.2%)]. Any and large CHIP were associated with multi-variable-adjusted hazard ratios of 1.11 [95% confidence interval (CI) 1.04-1.18; P = .001] and 1.13 (95% CI 1.05-1.22; P = .001) for supraventricular arrhythmias, 1.09 (95% CI 1.01-1.19; P = .031) and 1.13 (95% CI 1.03-1.25; P = .011) for bradyarrhythmias, and 1.16 (95% CI, 1.00-1.34; P = .049) and 1.22 (95% CI 1.03-1.45; P = .021) for ventricular arrhythmias, respectively. Associations were independent of coronary artery disease and heart failure. Associations were also heterogeneous across arrhythmia subtypes and strongest for cardiac arrest. Gene-specific analyses revealed an increased risk of arrhythmias across driver genes other than DNMT3A. Large CHIP was associated with 1.31-fold odds (95% CI 1.07-1.59; P = .009) of being in the top quintile of myocardial fibrosis by CMR. CONCLUSIONS CHIP may represent a novel risk factor for incident arrhythmias, indicating a potential target for modulation towards arrhythmia prevention and treatment.
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Affiliation(s)
- Art Schuermans
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, 75 Ames St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | | | - Victor Nauffal
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, 75 Ames St., Cambridge, MA 02142, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - So Mi Jemma Cho
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, 75 Ames St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
- Integrative Research Center for Cerebrovascular and Cardiovascular Diseases, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Md Mesbah Uddin
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, 75 Ames St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
| | - Tetsushi Nakao
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, 75 Ames St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Abhishek Niroula
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, 75 Ames St., Cambridge, MA 02142, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Laboratory Medicine, Lund University, Lund, Sweden
| | | | - Lachelle D Weeks
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Amy E Lin
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Kim Lannery
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, 75 Ames St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
| | - Megan Wong
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, 75 Ames St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
| | - Whitney Hornsby
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, 75 Ames St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
| | - Steven A Lubitz
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, 75 Ames St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, 25 Shattuck St., Boston, MA 02115, USA
| | | | - Siddhartha Jaiswal
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Peter Libby
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Benjamin L Ebert
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, 25 Shattuck St., Boston, MA 02115, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Alexander G Bick
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Patrick T Ellinor
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, 75 Ames St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, 25 Shattuck St., Boston, MA 02115, USA
| | - Pradeep Natarajan
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, 75 Ames St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, 25 Shattuck St., Boston, MA 02115, USA
| | - Michael C Honigberg
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, 75 Ames St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, 25 Shattuck St., Boston, MA 02115, USA
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9
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Zuriaga MA, Pascual-Figal D, Fuster JJ. Clonal haematopoiesis and cardiac arrythmias: rhythm-altering mutations. Eur Heart J 2024; 45:806-808. [PMID: 38320247 DOI: 10.1093/eurheartj/ehae052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2024] Open
Affiliation(s)
- María A Zuriaga
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Domingo Pascual-Figal
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares, (CIBERCV), Madrid, Spain
- Hospital Universitario Virgen de la Arrixaca, Universidad de Murcia, Murcia, Spain
| | - José J Fuster
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares, (CIBERCV), Madrid, Spain
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10
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Thomas KE, Lukaschuk E, Shanmuganathan M, Kitt JA, Popescu IA, Neubauer S, Piechnik SK, Ferreira VM. Misclassification of females and males in cardiovascular magnetic resonance parametric mapping: the importance of sex-specific normal ranges for diagnosis of health vs. disease. Eur Heart J Cardiovasc Imaging 2024; 25:339-346. [PMID: 37788638 PMCID: PMC10883727 DOI: 10.1093/ehjci/jead247] [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: 07/05/2023] [Revised: 08/31/2023] [Accepted: 09/24/2023] [Indexed: 10/05/2023] Open
Abstract
AIMS Cardiovascular magnetic resonance parametric mapping enables non-invasive quantitative myocardial tissue characterization. Human myocardium has normal ranges of T1 and T2 values, deviation from which may indicate disease or change in physiology. Normal myocardial T1 and T2 values are affected by biological sex. Consequently, normal ranges created with insufficient numbers of each sex may result in sampling biases, misclassification of healthy values vs. disease, and even misdiagnoses. In this study, we investigated the impact of using male normal ranges for classifying female cases as normal or abnormal (and vice versa). METHODS AND RESULTS One hundred and forty-two healthy volunteers (male and female) were scanned on two Siemens 3T MR systems, providing averaged global myocardial T1 and T2 values on a per-subject basis. The Monte Carlo method was used to generate simulated normal ranges from these values to estimate the statistical accuracy of classifying healthy female or male cases correctly as 'normal' when using sex-specific vs. mixed-sex normal ranges. The normal male and female T1- and T2-mapping values were significantly different by sex, after adjusting for age and heart rate. CONCLUSION Using 15 healthy volunteers who are not sex specific to establish a normal range resulted in a typical misclassification of up to 36% of healthy females and 37% of healthy males as having abnormal T1 values and up to 16% of healthy females and 12% of healthy males as having abnormal T2 values. This paper highlights the potential adverse impact on diagnostic accuracy that can occur when local normal ranges contain insufficient numbers of both sexes. Sex-specific reference ranges should thus be routinely adopted in clinical practice.
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Affiliation(s)
- Katharine E Thomas
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Level 0, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
| | - Elena Lukaschuk
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Level 0, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
| | - Mayooran Shanmuganathan
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Level 0, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
| | - Jamie A Kitt
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Level 0, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
| | - Iulia A Popescu
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Level 0, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Level 0, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
| | - Stefan K Piechnik
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Level 0, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
| | - Vanessa M Ferreira
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Level 0, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
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11
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Sengupta PP, Chandrashekhar Y. Advancing Myocardial Tissue Analysis Using Echocardiography. JACC Cardiovasc Imaging 2024; 17:228-231. [PMID: 38325962 DOI: 10.1016/j.jcmg.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
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12
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Wong MYZ, Vargas JD, Naderi H, Sanghvi MM, Raisi-Estabragh Z, Suinesiaputra A, Bonazzola R, Attar R, Ravikumar N, Hann E, Neubauer S, Piechnik SK, Frangi AF, Petersen SE, Aung N. Concurrent Left Ventricular Myocardial Diffuse Fibrosis and Left Atrial Dysfunction Strongly Predict Incident Heart Failure. JACC Cardiovasc Imaging 2023:S1936-878X(23)00505-3. [PMID: 38180417 DOI: 10.1016/j.jcmg.2023.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 11/06/2023] [Accepted: 11/16/2023] [Indexed: 01/06/2024]
Affiliation(s)
- Mark Y Z Wong
- Centre for Advanced Cardiovascular Imaging, William Harvey Research Institute, NIHR Biomedical Research Centre at Barts, Queen Mary University of London, Charterhouse Square, London, United Kingdom
| | - Jose D Vargas
- Veterans Affairs Medical Center, Washington, DC, USA; Georgetown University, Washington, DC, USA
| | - Hafiz Naderi
- Centre for Advanced Cardiovascular Imaging, William Harvey Research Institute, NIHR Biomedical Research Centre at Barts, Queen Mary University of London, Charterhouse Square, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, United Kingdom
| | - Mihir M Sanghvi
- Centre for Advanced Cardiovascular Imaging, William Harvey Research Institute, NIHR Biomedical Research Centre at Barts, Queen Mary University of London, Charterhouse Square, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, United Kingdom
| | - Zahra Raisi-Estabragh
- Centre for Advanced Cardiovascular Imaging, William Harvey Research Institute, NIHR Biomedical Research Centre at Barts, Queen Mary University of London, Charterhouse Square, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, United Kingdom
| | | | | | - Rahman Attar
- School of Computing, University of Leeds, Leeds, United Kingdom
| | | | - Evan Hann
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Stefan K Piechnik
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | | | - Steffen E Petersen
- Centre for Advanced Cardiovascular Imaging, William Harvey Research Institute, NIHR Biomedical Research Centre at Barts, Queen Mary University of London, Charterhouse Square, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, United Kingdom; Health Data Research UK, London, United Kingdom; Alan Turing Institute, London, United Kingdom
| | - Nay Aung
- Centre for Advanced Cardiovascular Imaging, William Harvey Research Institute, NIHR Biomedical Research Centre at Barts, Queen Mary University of London, Charterhouse Square, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, United Kingdom.
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13
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van Duijvenboden S, Ramírez J, Orini M, Aung N, Petersen SE, Doherty A, Tinker A, Munroe PB, Lambiase PD. Prognostic Significance of Different Ventricular Ectopic Burdens During Submaximal Exercise in Asymptomatic UK Biobank Subjects. Circulation 2023; 148:1932-1944. [PMID: 37855144 PMCID: PMC10712993 DOI: 10.1161/circulationaha.123.064633] [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: 03/07/2023] [Accepted: 09/22/2023] [Indexed: 10/20/2023]
Abstract
BACKGROUND The consequences of exercise-induced premature ventricular contractions (PVCs) in asymptomatic individuals remain unclear. This study aimed to assess the association between PVC burdens during submaximal exercise and major adverse cardiovascular events (MI/HF/LTVA: myocardial infarction [MI], heart failure [HF], and life-threatening ventricular arrhythmia [LTVA]), and all-cause mortality. Additional end points were MI, LTVA, HF, and cardiovascular mortality. METHODS A neural network was developed to count PVCs from ECGs recorded during exercise (6 minutes) and recovery (1 minute) in 48 315 asymptomatic participants from UK Biobank. Associations were estimated using multivariable Cox proportional hazard models. Explorative studies were conducted in subgroups with cardiovascular magnetic resonance imaging data (n=6290) and NT-proBNP (N-terminal Pro-B-type natriuretic peptide) levels (n=4607) to examine whether PVC burden was associated with subclinical cardiomyopathy. RESULTS Mean age was 56.8±8.2 years; 51.1% of the participants were female; and median follow-up was 12.6 years. Low PVC counts during exercise and recovery were both associated with MI/HF/LTVA risk, independently of clinical factors: adjusted hazard ratio (HR), 1.2 (1-5 exercise PVCs, P<0.001) and HR, 1.3 (1-5 recovery PVCs, P<0.001). Risks were higher with increasing PVC count: HR, 1.8 (>20 exercise PVCs, P<0.001) and HR, 1.6 (>5 recovery PVCs, P<0.001). A similar trend was observed for all-cause mortality, although associations were only significant for high PVC burdens: HRs, 1.6 (>20 exercise PVCs, P<0.001) and 1.5 (>5 recovery PVCs, P<0.001). Complex PVC rhythms were associated with higher risk compared with PVC count alone. PVCs were also associated with incident HF, LTVA, and cardiovascular mortality, but not MI. In the explorative studies, high PVC burden was associated with larger left ventricular volumes, lower ejection fraction, and higher levels of NT-proBNP compared with participants without PVCs. CONCLUSIONS In this cohort of middle-aged and older adults, PVC count during submaximal exercise and recovery were both associated with MI/HF/LTVA, all-cause mortality, HF, LTVAs, and cardiovascular mortality, independent of clinical and exercise test factors, indicating an incremental increase in risk as PVC count rises. Complex PVC rhythms were associated with higher risk compared with PVC count alone. Underlying mechanisms may include the presence of subclinical cardiomyopathy.
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Affiliation(s)
- Stefan van Duijvenboden
- Institute of Cardiovascular Science, University College London, United Kingdom (S.v.D., M.O., P.D.L.)
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (S.v.D., J.R., N.A., S.E.P., A.T., P.B.M.)
- Nuffield Department of Population Health, University of Oxford, United Kingdom (S.v.D., A.D.)
| | - Julia Ramírez
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (S.v.D., J.R., N.A., S.E.P., A.T., P.B.M.)
- Aragon Institute of Engineering Research, University of Zaragoza, Spain and Centro de Investigación Biomédica en Red – Bioingeniería, Biomateriales y Nanomedicina, Spain (J.R.)
| | - Michele Orini
- Institute of Cardiovascular Science, University College London, United Kingdom (S.v.D., M.O., P.D.L.)
- Barts Heart Centre, St Bartholomew’s Hospital, London, United Kingdom (M.O., N.A., S.E.P. P.D.L.)
| | - Nay Aung
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (S.v.D., J.R., N.A., S.E.P., A.T., P.B.M.)
- Barts Heart Centre, St Bartholomew’s Hospital, London, United Kingdom (M.O., N.A., S.E.P. P.D.L.)
- NIHR Barts Biomedical Research Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (N.A., S.E.P., A.T., P.B.M.)
| | - Steffen E. Petersen
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (S.v.D., J.R., N.A., S.E.P., A.T., P.B.M.)
- Barts Heart Centre, St Bartholomew’s Hospital, London, United Kingdom (M.O., N.A., S.E.P. P.D.L.)
- NIHR Barts Biomedical Research Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (N.A., S.E.P., A.T., P.B.M.)
| | - Aiden Doherty
- Nuffield Department of Population Health, University of Oxford, United Kingdom (S.v.D., A.D.)
| | - Andrew Tinker
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (S.v.D., J.R., N.A., S.E.P., A.T., P.B.M.)
- NIHR Barts Biomedical Research Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (N.A., S.E.P., A.T., P.B.M.)
| | - Patricia B. Munroe
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (S.v.D., J.R., N.A., S.E.P., A.T., P.B.M.)
- NIHR Barts Biomedical Research Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (N.A., S.E.P., A.T., P.B.M.)
| | - Pier D. Lambiase
- Institute of Cardiovascular Science, University College London, United Kingdom (S.v.D., M.O., P.D.L.)
- Barts Heart Centre, St Bartholomew’s Hospital, London, United Kingdom (M.O., N.A., S.E.P. P.D.L.)
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14
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Chehab O, Abdollahi A, Whelton SP, Wu CO, Ambale-Venkatesh B, Post WS, Bluemke DA, Tsai MY, Lima JAC. Association of Lipoprotein(a) Levels With Myocardial Fibrosis in the Multi-Ethnic Study of Atherosclerosis. J Am Coll Cardiol 2023; 82:2280-2291. [PMID: 38057070 PMCID: PMC11730445 DOI: 10.1016/j.jacc.2023.10.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/21/2023] [Accepted: 10/04/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Lipoprotein(a) (Lp[a]) has been identified as an emerging risk factor for adverse cardiovascular (CV) outcomes, including heart failure. However, the connections among Lp(a), myocardial fibrosis (interstitial and replacement), and cardiac remodeling as pathways to CV diseases remains unclear. OBJECTIVES This study investigated the relationship between Lp(a) levels and myocardial fibrosis by cardiac magnetic resonance (CMR) T1 mapping and late gadolinium enhancement, as well as cardiac remodeling by cine CMR, in the MESA (Multi-Ethnic Study of Atherosclerosis) cohort. METHODS The study included 2,040 participants with baseline Lp(a) measurements and T1 mapping for interstitial myocardial fibrosis (IMF) evaluation in 2010. Lp(a) was analyzed as a continuous variable (per log unit) and using clinical cutoff values of 30 and 50 mg/dL. Multivariate linear and logistic regression were used to assess the associations of Lp(a) with CMR measures of extracellular volume (ECV fraction [ECV%]), native T1 time, and myocardial scar, as well as parameters of cardiac remodeling, in 2,826 participants. RESULTS Higher Lp(a) levels were associated with increased ECV% (per log-unit Lp[a]; β = 0.2%; P = 0.007) and native T1 time (per log-unit Lp[a]; β = 4%; P < 0.001). Similar relationships were observed between elevated Lp(a) levels and a higher risk of clinically significant IMF defined by prognostic thresholds per log-unit Lp(a) of ECV% (OR: 1.20; 95% CI: 1.04-1.43) and native T1 (OR: 1.2; 95% CI: 1.1-1.4) equal to 30% and 955 ms, respectively. Clinically used Lp(a) cutoffs (30 and 50 mg/dL) were associated with greater prevalence of myocardial scar (OR: 1.85; 95% CI: 1.1-3.2 and OR: 1.9; 95% CI: 1.1-3.4, respectively). Finally, higher Lp(a) levels were associated with left atrial enlargement and dysfunction. CONCLUSIONS Elevated Lp(a) levels are linked to greater subclinical IMF, increased myocardial scar prevalence, and left atrial remodeling.
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Affiliation(s)
- Omar Chehab
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Ashkan Abdollahi
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Seamus P Whelton
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Colin O Wu
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Wendy S Post
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - David A Bluemke
- Department of Radiology, University of Wisconsin School of Medicine and Public Heath, Madison, Wisconsin, USA
| | - Michael Y Tsai
- Department of Pathology, University of Minnesota, Saint Paul-Minneapolis, Minneapolis, Minnesota, USA
| | - João A C Lima
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA; Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA.
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15
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Chehab O, Akl E, Abdollahi A, Zeitoun R, Ambale-Venkatesh B, Wu C, Tracy R, Blumenthal RS, Post WS, Lima JAC, Rodriguez A. Higher HDL cholesterol levels are associated with increased markers of interstitial myocardial fibrosis in the MultiEthnic Study of Atherosclerosis (MESA). Sci Rep 2023; 13:20115. [PMID: 37978334 PMCID: PMC10656454 DOI: 10.1038/s41598-023-46811-8] [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: 08/26/2023] [Accepted: 11/06/2023] [Indexed: 11/19/2023] Open
Abstract
Emerging research indicates that high HDL-C levels might not be cardioprotective, potentially worsening cardiovascular disease (CVD) outcomes. Yet, there is no data on HDL-C's association with other CVD risk factors like myocardial fibrosis, a key aspect of cardiac remodeling predicting negative outcomes. We therefore aimed to study the association between HDL-C levels with interstitial myocardial fibrosis (IMF) and myocardial scar measured by CMR T1-mapping and late-gadolinium enhancement (LGE), respectively. There were 1863 participants (mean age of 69 years) who had both serum HDL-C measurements and underwent CMR. Analysis was done among those with available indices of interstitial fibrosis (extracellular volume fraction [ECV]; N = 1172 and native-T1; N = 1863) and replacement fibrosis by LGE (N = 1172). HDL-C was analyzed as both logarithmically-transformed and categorized into < 40 (low),40-59 (normal), and ≥ 60mg/dL (high). Multivariable linear and logistic regression models were constructed to assess the associations of HDL-C with CMR-obtained measures of IMF, ECV% and native-T1 time, and myocardial scar, respectively. In the fully adjusted model, each 1-SD increment of log HDL-C was associated with a 1% increment in ECV% (p = 0.01) and an 18-ms increment in native-T1 (p < 0.001). When stratified by HDL-C categories, those with high HDL-C (≥ 60mg/dL) had significantly higher ECV (β = 0.5%, p = 0.01) and native-T1 (β = 7 ms, p = 0.01) compared with those with normal HDL-C levels. Those with low HDL-C were not associated with IMF. Results remained unchanged after excluding individuals with a history of myocardial infarction. Neither increasing levels of HDL-C nor any HDL-C category was associated with the prevalence of myocardial scar. Increasing levels of HDL-C were associated with increased markers of IMF, with those with high levels of HDL-C being linked to subclinical fibrosis in a community-based setting.
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Affiliation(s)
- Omar Chehab
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Elie Akl
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Ashkan Abdollahi
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Ralph Zeitoun
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | | | - Colin Wu
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Russell Tracy
- Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, VT, USA
| | - Roger S Blumenthal
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Wendy S Post
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Joao A C Lima
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Annabelle Rodriguez
- Center for Vascular Biology, University of Connecticut Health, Farmington, CT, USA.
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Elghazaly H, McCracken C, Szabo L, Malcolmson J, Manisty CH, Davies AH, Piechnik SK, Harvey NC, Neubauer S, Mohiddin SA, Petersen SE, Raisi-Estabragh Z. Characterizing the hypertensive cardiovascular phenotype in the UK Biobank. Eur Heart J Cardiovasc Imaging 2023; 24:1352-1360. [PMID: 37309807 PMCID: PMC10531143 DOI: 10.1093/ehjci/jead123] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Accepted: 05/22/2023] [Indexed: 06/14/2023] Open
Abstract
AIMS To describe hypertension-related cardiovascular magnetic resonance (CMR) phenotypes in the UK Biobank considering variations across patient populations. METHODS AND RESULTS We studied 39 095 (51.5% women, mean age: 63.9 ± 7.7 years, 38.6% hypertensive) participants with CMR data available. Hypertension status was ascertained through health record linkage. Associations between hypertension and CMR metrics were estimated using multivariable linear regression adjusting for major vascular risk factors. Stratified analyses were performed by sex, ethnicity, time since hypertension diagnosis, and blood pressure (BP) control. Results are standardized beta coefficients, 95% confidence intervals, and P-values corrected for multiple testing. Hypertension was associated with concentric left ventricular (LV) hypertrophy (increased LV mass, wall thickness, concentricity index), poorer LV function (lower global function index, worse global longitudinal strain), larger left atrial (LA) volumes, lower LA ejection fraction, and lower aortic distensibility. Hypertension was linked to significantly lower myocardial native T1 and increased LV ejection fraction. Women had greater hypertension-related reduction in aortic compliance than men. The degree of hypertension-related LV hypertrophy was greatest in Black ethnicities. Increasing time since diagnosis of hypertension was linked to adverse remodelling. Hypertension-related remodelling was substantially attenuated in hypertensives with good BP control. CONCLUSION Hypertension was associated with concentric LV hypertrophy, reduced LV function, dilated poorer functioning LA, and reduced aortic compliance. Whilst the overall pattern of remodelling was consistent across populations, women had greater hypertension-related reduction in aortic compliance and Black ethnicities showed the greatest LV mass increase. Importantly, adverse cardiovascular remodelling was markedly attenuated in hypertensives with good BP control.
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Affiliation(s)
- Hussein Elghazaly
- Department of Surgery and Cancer, Imperial College London and Imperial College NHS Trust, South Kensington, SW7 2BX London, UK
| | - Celeste McCracken
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
| | - Liliana Szabo
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- Semmelweis University, Heart and Vascular Center, BudapestHungary
| | - James Malcolmson
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Charlotte H Manisty
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- Institute of Cardiovascular Science, University College London, London, UK
| | - Alun H Davies
- Department of Surgery and Cancer, Imperial College London and Imperial College NHS Trust, South Kensington, SW7 2BX London, UK
| | - Stefan K Piechnik
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
| | - Saidi A Mohiddin
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Steffen E Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- Health Data Research UK, London, UK
- Alan Turing Institute, London, UK
| | - Zahra Raisi-Estabragh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
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17
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Pan J, Ng SM, Neubauer S, Rider OJ. Phenotyping heart failure by cardiac magnetic resonance imaging of cardiac macro- and microscopic structure: state of the art review. Eur Heart J Cardiovasc Imaging 2023; 24:1302-1317. [PMID: 37267310 PMCID: PMC10531211 DOI: 10.1093/ehjci/jead124] [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: 05/16/2023] [Accepted: 05/26/2023] [Indexed: 06/04/2023] Open
Abstract
Heart failure demographics have evolved in past decades with the development of improved diagnostics, therapies, and prevention. Cardiac magnetic resonance (CMR) has developed in a similar timeframe to become the gold-standard non-invasive imaging modality for characterizing diseases causing heart failure. CMR techniques to assess cardiac morphology and function have progressed since their first use in the 1980s. Increasingly efficient acquisition protocols generate high spatial and temporal resolution images in less time. This has enabled new methods of characterizing cardiac systolic and diastolic function such as strain analysis, exercise real-time cine imaging and four-dimensional flow. A key strength of CMR is its ability to non-invasively interrogate the myocardial tissue composition. Gadolinium contrast agents revolutionized non-invasive cardiac imaging with the late gadolinium enhancement technique. Further advances enabled quantitative parametric mapping to increase sensitivity at detecting diffuse pathology. Novel methods such as diffusion tensor imaging and artificial intelligence-enhanced image generation are on the horizon. Magnetic resonance spectroscopy (MRS) provides a window into the molecular environment of the myocardium. Phosphorus (31P) spectroscopy can inform the status of cardiac energetics in health and disease. Proton (1H) spectroscopy complements this by measuring creatine and intramyocardial lipids. Hyperpolarized carbon (13C) spectroscopy is a novel method that could further our understanding of dynamic cardiac metabolism. CMR of other organs such as the lungs may add further depth into phenotypes of heart failure. The vast capabilities of CMR should be deployed and interpreted in context of current heart failure challenges.
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Affiliation(s)
- Jiliu Pan
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Level 0, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom
| | - Sher May Ng
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Level 0, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom
| | - Stefan Neubauer
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Level 0, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom
| | - Oliver J Rider
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Level 0, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom
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18
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Doughan M, Chehab O, de Vasconcellos HD, Zeitoun R, Varadarajan V, Doughan B, Wu CO, Blaha MJ, Bluemke DA, Lima JAC. Periodontal Disease Associated With Interstitial Myocardial Fibrosis: The Multiethnic Study of Atherosclerosis. J Am Heart Assoc 2023; 12:e8146. [PMID: 36718872 PMCID: PMC9973639 DOI: 10.1161/jaha.122.027974] [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] [Indexed: 02/01/2023]
Abstract
Background Periodontitis is a chronic inflammatory disease common among adults. It has been suggested that periodontal disease (PD) may be a contributing risk factor for cardiovascular disease; however, pathways underlying such a relationship require further investigation. Methods and Results A total of 665 men (mean age 68±9 years) and 611 women (mean age 67±9 years) enrolled in the MESA (Multiethnic Study of Atherosclerosis) underwent PD assessment using a 2-item questionnaire at baseline (2000-2002) and had cardiovascular magnetic resonance 10 years later. PD was defined when participants reported either a history of periodontitis or gum disease or lost teeth caused by periodontitis or gum disease. Multivariable linear regression models were constructed to assess the associations of baseline self-reported PD with cardiovascular magnetic resonance-obtained measures of interstitial myocardial fibrosis (IMF), including extracellular volume and native T1 time. Men with a self-reported history of PD had greater extracellular volume percent (ß=0.6%±0.2, P=0.01). This association was independent of age, left ventricular mass, traditional cardiovascular risk factors, and history of myocardial infarction. In a subsequent model, substituting myocardial infarction for coronary artery calcium score, the association of PD with IMF remained significant (ß=0.6%±0.3, P=0.03). In women, a self-reported history of PD was not linked to higher IMF. Importantly, a self-reported history of PD was not found to be associated with myocardial scar independent of sex (odds ratio, 1.01 [95% CI, 0.62-1.65]; P=0.9). Conclusions In a community-based setting, men but not women with a self-reported PD history at baseline were found to be associated with increased measures of IMF. These findings support a plausible link between PD, a proinflammatory condition, and subclinical IMF.
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Affiliation(s)
- Maria Doughan
- Division of Orthodontics, Department of DentistryUniversity of MarylandBaltimoreMD
| | - Omar Chehab
- Division of Cardiology, Department of MedicineJohns Hopkins UniversityBaltimoreMD
| | | | - Ralph Zeitoun
- Division of Cardiology, Department of MedicineJohns Hopkins UniversityBaltimoreMD
| | - Vinithra Varadarajan
- Division of Cardiology, Department of MedicineJohns Hopkins UniversityBaltimoreMD
| | - Bassel Doughan
- Faculty of Dental SurgeryCôte d’Azur UniversityNiceFrance
| | - Colin O. Wu
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMD
| | - Michael J Blaha
- Division of Cardiology, Department of MedicineJohns Hopkins UniversityBaltimoreMD
| | - David A. Bluemke
- Department of RadiologyUniversity of Wisconsin School of Medicine and Public HeathMadisonWI
| | - Joao A. C. Lima
- Division of Cardiology, Department of MedicineJohns Hopkins UniversityBaltimoreMD
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