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Wang M, Zhang H, Liu Z, Han J, Liu J, Zhang N, Li S, Tang W, Liu P, Tian B, Luo T, Wang J, Meng X, Ye H, Xu L, Zhang H, Jiang W. Scoring model based on cardiac CT and clinical factors to predict early good mitral valve repair in rheumatic mitral disease. Eur Radiol 2024; 34:4963-4976. [PMID: 38252276 DOI: 10.1007/s00330-023-10470-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 09/24/2023] [Accepted: 10/16/2023] [Indexed: 01/23/2024]
Abstract
OBJECTIVE We aimed to evaluate the mitral valve calcification and mitral structure detected by cardiac computed tomography (cardiac CT) and establish a scoring model based on cardiac CT and clinical factors to predict early good mitral valve repair (EGMR) and guide surgical strategy in rheumatic mitral disease (RMD). MATERIALS AND METHODS This is a retrospective bi-center cohort study. Based on cardiac CT, mitral valve calcification and mitral structure in RMD were quantified and evaluated. The primary outcome was EGMR. A logical regression algorithm was applied to the scoring model. RESULTS A total of 579 patients were enrolled in our study from January 1, 2019, to August 31, 2022. Of these, 443 had baseline cardiac CT scans of adequate quality. The calcification quality score, calcification and thinnest part of the anterior leaflet clean zone, and papillary muscle symmetry were the independent CT factors of EGMR. Coronary artery disease and pulmonary artery pressure were the independent clinical factors of EGMR. Based on the above six factors, a scoring model was established. Sensitivity = 95% and specificity = 95% were presented with a cutoff value of 0.85 and 0.30 respectively. The area under the receiver operating characteristic of external validation set was 0.84 (95% confidence interval [CI] 0.73-0.93). CONCLUSIONS Mitral valve repair is recommended when the scoring model value > 0.85 and mitral valve replacement is prior when the scoring model value < 0.30. This model could assist in guiding surgical strategies for RMD. CLINICAL RELEVANCE STATEMENT The model established in this study can serve as a reference indicator for surgical repair in rheumatic mitral valve disease. KEY POINTS • Cardiac CT can reflect the mitral structure in detail, especially for valve calcification. • A model based on cardiac CT and clinical factors for predicting early good mitral valve repair was established. • The developed model can help cardiac surgeons formulate appropriate surgical strategies.
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Affiliation(s)
- Maozhou Wang
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Road, Chaoyang District, Beijing, China
| | - Hongkai Zhang
- Department of Radiology, Beijing Anzhen Hospital, Beijing Institute of Heart, Lung, and Vascular Diseases, Capital Medical University, Beijing, China
| | - Zhou Liu
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China
| | - Jie Han
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Road, Chaoyang District, Beijing, China
| | - Jing Liu
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China
| | - Nan Zhang
- Department of Radiology, Beijing Anzhen Hospital, Beijing Institute of Heart, Lung, and Vascular Diseases, Capital Medical University, Beijing, China
| | - Shuang Li
- Department of Radiology, Beijing Anzhen Hospital, Beijing Institute of Heart, Lung, and Vascular Diseases, Capital Medical University, Beijing, China
| | - Wenjie Tang
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Road, Chaoyang District, Beijing, China
| | - Peiyi Liu
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Road, Chaoyang District, Beijing, China
| | - Baiyu Tian
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Road, Chaoyang District, Beijing, China
| | - Tiange Luo
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Road, Chaoyang District, Beijing, China
| | - Jiangang Wang
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Road, Chaoyang District, Beijing, China
| | - Xu Meng
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Road, Chaoyang District, Beijing, China
| | - Hongyu Ye
- Department of Cardiothoracic Surgery, Zhongshan City People's Hospital, Sun Wenzhong Road, Zhongshan, China.
| | - Lei Xu
- Department of Radiology, Beijing Anzhen Hospital, Beijing Institute of Heart, Lung, and Vascular Diseases, Capital Medical University, Beijing, China.
| | - Hongjia Zhang
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Road, Chaoyang District, Beijing, China.
| | - Wenjian Jiang
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Road, Chaoyang District, Beijing, China.
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Boakye E, Dardari Z, Obisesan OH, Osei AD, Wang FM, Honda Y, Dzaye O, Osuji N, Carr JJ, Howard-Claudio CM, Wagenknecht L, Konety S, Coresh J, Matsushita K, Blaha MJ, Whelton SP. Sex-and race-specific burden of aortic valve calcification among older adults without overt coronary heart disease: The Atherosclerosis Risk in Communities Study. Atherosclerosis 2022; 355:68-75. [PMID: 35718559 PMCID: PMC11309802 DOI: 10.1016/j.atherosclerosis.2022.06.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/20/2022] [Accepted: 06/03/2022] [Indexed: 01/22/2023]
Abstract
BACKGROUND AND AIMS The prevalence of aortic valve calcification (AVC) increases with age. However, the sex-and race-specific burden of AVC and associated cardiovascular risk factors among adults ≥75 years are not well studied. METHODS We calculated the sex-and race-specific burden of AVC among 2283 older Black and White adults (mean age:80.5 [SD:4.3] years) without overt coronary heart disease from the Atherosclerosis Risk in Communities Study who underwent non-contrast cardiac-gated CT-imaging at visit 7 (2018-2019). Using Poisson regression with robust variance, we calculated the adjusted prevalence ratios (aPR) of the association of AVC with cardiovascular risk factors. RESULTS The overall AVC prevalence was 44.8%, with White males having the highest prevalence at 58.2%. The prevalence was similar for Black males (40.5%), White females (38.9%), and Black females (36.8%). AVC prevalence increased significantly with age among all race-sex groups. The probability of any AVC at age 80 years was 55.4%, 40.0%, 37.3%, and 36.2% for White males, Black males, White females, and Black females, respectively. Among persons with prevalent AVC, White males had the highest median AVC score (100.9 Agatston Units [AU]), followed by Black males (68.5AU), White females (52.3AU), and Black females (46.5AU). After adjusting for cardiovascular risk factors, Black males (aPR:0.53; 95%CI:0.33-0.83), White females (aPR:0.68; 95%CI:0.61-0.77), and Black females (aPR:0.49; 95%CI:0.31-0.77) had lower AVC prevalence compared to White males. In addition, systolic blood pressure, non-HDL-cholesterol, and lipoprotein (a) were independently associated with AVC, with no significant race/sex interactions. CONCLUSIONS AVC, although highly prevalent, was not universally present in this cohort of older adults. White males had ∼50-60% higher prevalence than other race-sex groups. Moreover, cardiovascular risk factors measured in older age showed significant association with AVC.
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Affiliation(s)
- Ellen Boakye
- Johns Hopkins Ciccarone Centre for the Prevention of Cardiovascular Diseases, Baltimore, MD, USA
| | - Zeina Dardari
- Johns Hopkins Ciccarone Centre for the Prevention of Cardiovascular Diseases, Baltimore, MD, USA
| | | | - Albert D Osei
- Department of Medicine, MedStar Union Memorial Hospital, Baltimore, MD, USA
| | - Frances M Wang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Yasuyuki Honda
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Omar Dzaye
- Johns Hopkins Ciccarone Centre for the Prevention of Cardiovascular Diseases, Baltimore, MD, USA
| | - Ngozi Osuji
- Johns Hopkins Ciccarone Centre for the Prevention of Cardiovascular Diseases, Baltimore, MD, USA
| | - John Jeffery Carr
- Department of Radiology, Vanderbilt University Medical Centre, Nashville, TN, USA
| | | | - Lynne Wagenknecht
- Department of Epidemiology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Suma Konety
- Division of Cardiology, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kunihiro Matsushita
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Michael J Blaha
- Johns Hopkins Ciccarone Centre for the Prevention of Cardiovascular Diseases, Baltimore, MD, USA.
| | - Seamus P Whelton
- Johns Hopkins Ciccarone Centre for the Prevention of Cardiovascular Diseases, Baltimore, MD, USA
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Alqahtani AM, Boczar KE, Kansal V, Chan K, Dwivedi G, Chow BJ. Quantifying Aortic Valve Calcification using Coronary Computed Tomography Angiography. J Cardiovasc Comput Tomogr 2017; 11:99-104. [DOI: 10.1016/j.jcct.2017.01.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Revised: 01/18/2017] [Accepted: 01/25/2017] [Indexed: 01/07/2023]
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Wong C, Chen S, Iyngkaran P. Cardiac Imaging in Heart Failure with Comorbidities. Curr Cardiol Rev 2017; 13:63-75. [PMID: 27492227 PMCID: PMC5324322 DOI: 10.2174/1573403x12666160803100928] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Revised: 06/30/2016] [Accepted: 07/05/2016] [Indexed: 01/19/2023] Open
Abstract
Imaging modalities stand at the frontiers for progress in congestive heart failure (CHF) screening, risk stratification and monitoring. Advancements in echocardiography (ECHO) and Magnetic Resonance Imaging (MRI) have allowed for improved tissue characterizations, cardiac motion analysis, and cardiac performance analysis under stress. Common cardiac comorbidities such as hypertension, metabolic syndromes and chronic renal failure contribute to cardiac remodeling, sharing similar pathophysiological mechanisms starting with interstitial changes, structural changes and finally clinical CHF. These imaging techniques can potentially detect changes earlier. Such information could have clinical benefits for screening, planning preventive therapies and risk stratifying patients. Imaging reports have often focused on traditional measures without factoring these novel parameters. This review is aimed at providing a synopsis on how we can use this information to assess and monitor improvements for CHF with comorbidities.
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Affiliation(s)
- Chiew Wong
- Flinders University, NT Medical School, Darwin Australia
| | - Sylvia Chen
- Flinders University, NT Medical School, Darwin Australia
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Chang IC, Chareonthaitawee P. Aortic Valve 18F-Fluoride Positron Emission Tomography. Circ Cardiovasc Imaging 2016; 9:CIRCIMAGING.116.005574. [DOI: 10.1161/circimaging.116.005574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Ian C.Y. Chang
- From the Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN
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Musa TA, Plein S, Greenwood JP. The role of cardiovascular magnetic resonance in the assessment of severe aortic stenosis and in post-procedural evaluation following transcatheter aortic valve implantation and surgical aortic valve replacement. Quant Imaging Med Surg 2016; 6:259-73. [PMID: 27429910 PMCID: PMC4929281 DOI: 10.21037/qims.2016.06.05] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Accepted: 04/02/2016] [Indexed: 01/20/2023]
Abstract
Degenerative aortic stenosis (AS) is the most common valvular disease in the western world with a prevalence expected to double within the next 50 years. International guidelines advocate the use of cardiovascular magnetic resonance (CMR) as an investigative tool, both to guide diagnosis and to direct optimal treatment. CMR is the reference standard for quantifying both left and right ventricular volumes and mass, which is essential to assess the impact of AS upon global cardiac function. Given the ability to image any structure in any plane, CMR offers many other diagnostic strengths including full visualisation of valvular morphology, direct planimetry of orifice area, the quantification of stenotic jets and in particular, accurate quantification of valvular regurgitation. In addition, CMR permits reliable and accurate measurements of the aortic root and arch which can be fundamental to appropriate patient management. There is a growing evidence base to indicate tissue characterisation using CMR provides prognostic information, both in asymptomatic AS patients and those undergoing intervention. Furthermore, a number of current clinical trials will likely raise the importance of CMR in routine patient management. This article will focus on the incremental value of CMR in the assessment of severe AS and the insights it offers following valve replacement.
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Affiliation(s)
- Tarique Al Musa
- Multidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Sven Plein
- Multidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - John P Greenwood
- Multidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
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Silva-Palacios A, Königsberg M, Zazueta C. Nrf2 signaling and redox homeostasis in the aging heart: A potential target to prevent cardiovascular diseases? Ageing Res Rev 2016; 26:81-95. [PMID: 26732035 DOI: 10.1016/j.arr.2015.12.005] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Revised: 12/09/2015] [Accepted: 12/21/2015] [Indexed: 10/22/2022]
Abstract
Aging process is often accompanied with a high incidence of cardiovascular diseases (CVD) due to the synergistic effects of age-related changes in heart morphology/function and prolonged exposure to injurious effects of CVD risk factors. Oxidative stress, considered a hallmark of aging, is also an important feature in pathologies that predispose to CVD development, like hypertension, diabetes and obesity. Approaches directed to prevent the occurrence of CVD during aging have been explored both in experimental models and in controlled clinical trials, in order to improve health span, reduce hospitalizations and increase life quality during elderly. In this review we discuss oxidative stress role as a main risk factor that relates CVD with aging. As well as interventions that aim to reduce oxidative stress by supplementing with exogenous antioxidants. In particular, strategies of improving the endogenous antioxidant defenses through activating the nuclear factor related-2 factor (Nrf2) pathway; one of the best studied molecules in cellular redox homeostasis and a master regulator of the antioxidant and phase II detoxification response.
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Hansen KL, Møller-Sørensen H, Pedersen MM, Hansen PM, Kjaergaard J, Lund JT, Nilsson JC, Jensen JA, Nielsen MB. First report on intraoperative vector flow imaging of the heart among patients with healthy and diseased aortic valves. ULTRASONICS 2015; 56:243-250. [PMID: 25128079 DOI: 10.1016/j.ultras.2014.07.015] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2014] [Revised: 07/22/2014] [Accepted: 07/23/2014] [Indexed: 06/03/2023]
Abstract
The vector velocity method Transverse Oscillation (TO) implemented on a conventional ultrasound (US) scanner (ProFocus, BK Medical, Herlev, Denmark) can provide real-time, angle-independent estimates of the cardiac blood flow. During cardiac surgery, epicardial US examination using TO was performed on (A) 3 patients with healthy aortic valve and (B) 3 patients with aortic valve stenosis. In group B, the systolic flow of the ascending aorta had higher velocities, was more aliased and chaotic. The jet narrowed to 44% of the lumen compared to 75% in group A and with a vector concentration, a measure of flow complexity, of 0.41 compared to 0.87 in group A. The two groups had similar secondary flow of the ascending aorta with an average rotation frequency of 4.8 Hz. Simultaneous measurements were obtained with spectral Doppler (SD) and a thermodilution technique (TD). The mean difference in peak systolic velocity compared to SD in group A was 22% and 45% in B, while the mean difference in volume flow compared to TD in group A was 30% and 32% in B. TO can potentially reveal new information of cardiac blood flow, and may become a valuable diagnostic tool in the evaluation of patients with cardiovascular diseases.
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Affiliation(s)
| | - Hasse Møller-Sørensen
- Department of Cardiothoracic Anesthesiology, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Mads Møller Pedersen
- Department of Radiology, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Peter Møller Hansen
- Department of Radiology, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Jesper Kjaergaard
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Jens Teglgaard Lund
- Department of Cardiothoracic Surgery, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Jens Christian Nilsson
- Department of Cardiothoracic Surgery, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Jørgen Arendt Jensen
- Center for Fast Ultrasound Imaging, DTU Elektro, Technical University of Denmark, Denmark
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