| Journal of Cardiovascular Magnetic Resonance | |
| Intra-thoracic fat volume is associated with myocardial infarction in patients with metabolic syndrome | |
| James A White4  Maria Drangova2  Tisha Joy1  Matthew Brymer1  Immaculate Nevis1  John Stirrat1  Terry Peters2  Charles McKenzie2  Abraam Soliman5  Umjeet S Jolly3  | |
| [1] Robarts Research Institute, University of Western Ontario, London, Ontario, Canada;Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada;Department of Medicine, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada;Cardiovascular MRI Clinical Research (CMCR) Program, London Health Sciences Center, 339 Windermere Road, London, Ontario N6A 5A5, Canada;Biomedical Engineering, University of Western Ontario, London, Ontario, Canada | |
| 关键词: Myocardial infarction; Metabolic syndrome; Adiposity; Fat distribution; | |
| Others : 805451 DOI : 10.1186/1532-429X-15-77 |
|
| received in 2013-02-28, accepted in 2013-08-22, 发布年份 2013 | |
PDF
|
|
【 摘 要 】
Background
Visceral adiposity is increased in those with Metabolic Syndrome (MetS) and atherosclerotic disease burden. In this study we evaluate for associations between intra-thoracic fat volume (ITFV) and myocardial infarction (MI) in patients with MetS.
Methods
Ninety-four patients with MetS, MI or both were identified from a cardiovascular CMR clinical registry. MetS was defined in accordance to published guidelines; where-as MI was defined as the presence of subendocardial-based injury on late gadolinium enhancement imaging in a coronary vascular distribution. A healthy control group was also obtained from the same registry. Patients were selected into the following groups: MetS+/MI- (N = 32), MetS-/MI + (N = 30), MetS+/MI + (N = 32), MetS-/MI- (N = 16). ITFV quantification was performed using signal threshold analysis of sequential sagittal CMR datasets (HASTE) and indexed to body mass index.
Results
The mean age of the population was 59.8 ± 12.5 years. MetS+ patients (N=64) demonstrated a significantly higher indexed ITFV compared to MetS- patients (p = 0.05). Patients in respective MetS-/MI-, MetS+/MI-, MetS-/MI+, and MetS+/MI + study groups demonstrated a progressive elevation in the indexed ITFV (22.3 ± 10.6, 28.6 ± 12.6, 30.6 ± 12.3, and 35.2 ± 11.4 ml/kg/m2, (p = 0.002)). Among MetS+ patients those with MI showed a significantly higher indexed ITFV compared to those without MI (p = 0.02).
Conclusions
ITFV is elevated in patients with MetS and incrementally elevated among those with evidence of prior ischemic myocardial injury. Accordingly, the quantification of ITFV may be a valuable marker of myocardial infarction risk among patients with MetS and warrants further investigation.
【 授权许可】
2013 Jolly et al.; licensee BioMed Central Ltd.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 20140708080056690.pdf | 898KB | ||
| Figure 5. | 52KB | Image | |
| Figure 4. | 53KB | Image | |
| Figure 3. | 54KB | Image | |
| Figure 2. | 79KB | Image | |
| Figure 1. | 93KB | Image |
【 图 表 】
Figure 1.
Figure 2.
Figure 3.
Figure 4.
Figure 5.
【 参考文献 】
- [1]Mahabadi AA, Massaro JM, Rosito GA, Levy D, Murabito JM, Wolf PA et al.. Association of pericardial fat, intrathoracic fat, and visceral abdominal fat with cardiovascular disease burden: the Framingham Heart Study. Eur Heart J. 2009; 30:850-856.
- [2]Iwasaki K, Matsumoto T, Aono H, Furukawa H, Samukawa M. Relationship between epicardial Fat measured by 64-multidetector computed tomography and coronary artery disease. Clin Cardiol. 2011; 34(3):166-171.
- [3]Rosito GA, Massaro JM, Hoffmann U, Ruberg FL, Mahabadi AA, Vasan RS et al.. Pericardial fat, visceral abdominal fat, cardiovascular disease risk factors, and vascular calcification in a community-based sample: the Framingham Heart Study. Circulation. 2008; 117:605-613.
- [4]Momesso DP, Bussade I, Epifanio MA, Schettino CD, Russo LA, Kupfer R. Increased epicardial adipose tissue in type 1 diabetes is associated with central obesity and metabolic syndrome. Diabetes Res Clin Pract. 2011; 91:47-53.
- [5]Iacobellis G, Leonetti F. Epicardial adipose tissue and insulin resistance in obese subjects. J Clin Endocrinol Metab. 2005; 90:6300-6302.
- [6]Yun CH, Lin TY, Wu YJ, Liu CC, Kuo JY, Yeh HI et al.. Pericardial and thoracic peri-aortic adipose tissues contribute to systemic inflammation and calcified coronary atherosclerosis independent of body fat composition, anthropometric measures and traditional cardiovascular risks. Eur J Radiol. 2011; 81(4):749-756.
- [7]Dey D, Wong ND, Tamarappoo B, Nakazato R, Gransar H, Cheng VY et al.. Computer-aided non-contrast CT-based quantification of pericardial and thoracic fat and their associations with coronary calcium and Metabolic Syndrome. Atherosclerosis. 2010; 209:136-141.
- [8]Forouzandeh F, Chang SM, Muhyieddeen K, Zaid RR, Trevino AR, Xu J et al.. Does quantifying epicardial and intrathoracic fat with noncontrast computed tomography improve risk stratification beyond calcium scoring alone? Circ Cardiovasc Imaging. 2013; 6:58-66.
- [9]Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA et al.. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009; 120:1640-1645.
- [10]Food and Drug Administration, Information for healthcare professionals [homepage on the internet]. Gadolinium-based contrast agents for magnetic resonance imaging (marketed as magnevist, multihance, omniscan, optimark, prohance). 2010. Available from http://www. fda.gov/Drugs/DrugSafety/PostmarketDrugSafetyInformationforPatientsandProviders/ucm142884.htm webcite
- [11]Kim RJ, Shah DJ, Judd RM. How we perform delayed enhancement imaging. J Cardiovasc Magn Reson. 2003; 5:505-514.
- [12]Mahrholdt H, Wagner A, Holly TA, Elliott MD, Bonow RO, Kim RJ et al.. Reproducibility of chronic infarct size measurement by contrast-enhanced magnetic resonance imaging. Circulation. 2002; 106:2322-2327.
- [13]Dey D, Suzuki Y, Suzuki S, Ohba M, Slomka PJ, Polk D et al.. Automated quantitation of pericardiac fat from noncontrast CT. Invest Radiol. 2008; 43:145-153.
- [14]Wang TD, Lee WJ, Shih FY, Huang CH, Chang YC, Chen WJ et al.. Relations of epicardial adipose tissue measured by multidetector computed tomography to components of the metabolic syndrome are region-specific and independent of anthropometric indexes and intraabdominal visceral fat. J Clin Endocrinol Metab. 2009; 94:662-669.
- [15]Kissebah AH, Vydelingum N, Murray R, Evans DJ, Hartz AJ, Kalkhoff RK et al.. Relation of body fat distribution to metabolic complications of obesity. J Clin Endocrinol Metab. 1982; 54:254-260.
- [16]Sharma AM. Mediastinal fat, insulin resistance, and hypertension. Hypertension. 2004; 44:117-118.
- [17]Baker AR, Silva NF, Quinn DW, Harte AL, Pagano D, Bonser RS et al.. Human epicardial adipose tissue expresses a pathogenic profile of adipocytokines in patients with cardiovascular disease. Cardiovasc Diabetol. 2006; 5:1. BioMed Central Full Text
- [18]Chaowalit N, Lopez-Jimenez F. Epicardial adipose tissue: friendly companion or hazardous neighbour for adjacent coronary arteries? Eur Heart J. 2008; 29:695-697.
- [19]Ridker PM. C-reactive protein and the prediction of cardiovascular events among those at intermediate risk: moving an inflammatory hypothesis toward consensus. J Am Coll Cardiol. 2007; 49:2129-2138.
- [20]Liu J, Fox CS, Hickson D, Sarpong D, Ekunwe L, May WD et al.. Pericardial adipose tissue, atherosclerosis, and cardiovascular disease risk factors: the Jackson heart study. Diabetes Care. 2010; 33:1635-1639.
- [21]Brinkley TE, Jerosch-Herold M, Folsom AR, Carr JJ, Hundley WG, Allison MA et al.. Pericardial fat and myocardial perfusion in asymptomatic adults from the Multi-Ethnic Study of Atherosclerosis. PLoS One. 2011; 6:e28410.
- [22]Lehman SJ, Massaro JM, Schlett CL, O’Donnell CJ, Hoffmann U, Fox CS. Peri-aortic fat, cardiovascular disease risk factors, and aortic calcification: the Framingham Heart Study. Atherosclerosis. 2010; 210:656-661.
- [23]Wong CX, Abed HS, Molaee P, Nelson AJ, Brooks AG, Sharma G, Leong DP, Lau DH, Middeldorp ME, Roberts-Thomson KC, Wittert GA, Abhayaratna WP, Worthley SG, Sanders P. Pericardial fat is associated with atrial fibrillation severity and ablation outcome. J Am Coll Cardiol. 2011; 57(17):1745-1751.
- [24]Berglund J, Johansson L, Ahlström H, Kullberg J. Three-point dixon method enables whole-body water and fat imaging of obese subjects. Magn Reson Med. 2010; 63:1659-1668.
PDF