Research Article
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Year 2023, Volume: 5 Issue: 3, 438 - 44, 18.09.2023
https://doi.org/10.37990/medr.1241128

Abstract

References

  • Danaei G, Singh GM, Paciorek CJ, et al. The global cardiovascular risk transition: associations of four metabolic risk factors with national income, urbanization, and western diet in 1980 and 2008. Circulation. 2013;127:1493-502.
  • Horton R. Offline: chronic diseases—the social justice issue of our time. The Lancet. 2015;386:2378.
  • Sanchis-Gomar F, Perez-Quilis C, Leischik R, Lucia A. Epidemiology of coronary heart disease and acute coronary syndrome. Ann Transl Med. 2016;4:256.
  • Murray CJ, Lopez AD. Alternative projections of mortality and disability by cause 1990–2020: global burden of disease study. The Lancet. 1997;349:1498-504.
  • Bağcı A. Syntax Score in Coronary Artery Disease. SDU J Health Sci. 2018;9:44-50.
  • Nagashima Y, Iijima R, Nakamura M, Sugi K. Utility of the syntax score in predicting outcomes after coronary intervention for chronic total occlusion. Herz. 2015;40:1090-6.
  • Sianos G, Morel MA, Kappetein AP, et al. The syntax score: an angiographic tool grading the complexity of coronary artery disease. EuroInterv. 2005;1:219-27.
  • Kolh P, Windecker S, Alfonso F, et al. 2014 esc/eacts guidelines on myocardial revascularization: the task force on myocardial revascularization of the european society of cardiology (esc) and the european association for cardio-thoracic surgery (eacts) developed with the special contribution of the european association of percutaneous cardiovascular interventions (eapci). Eur J Cardiothorac Surg. 2014;46:517-92.
  • Bagci A, Aksoy F, Bas HA. Relationship between development of contrast nephropathy and Syntax score in acutecoronary syndrome. Cukurova Med J. 2019;44:1181-8.
  • Misumida N, Ahmed AE, Barlow M, et al. Prognostic value of anatomical syntax score and syntax score ii in veterans with left main and/or three-vessel coronary artery disease. Am J Cardiol. 2018;122:213-9.
  • Herrera VM, Casas JP, Miranda JJ, et al. Interethnic differences in the accuracy of anthropometric indicators of obesity in screening for high risk of coronary heart disease. Int J Obes. 2009;33:568-76.
  • Casadei K, Kiel J. Anthropometric measurement. In StatPearls [Internet]. StatPearls Publishing, 2020.
  • Solomons N, Kruger HS, Puoane T. Association between dietary adherence, anthropometric measurements and blood pressure in an urban black population, south africa. South Afr J Clin Nutr. 2020;33:1-9.
  • Silva KC, Paiva NS, de Faria FR, et al. predictive ability of seven anthropometric indices for cardiovascular risk markers and metabolic syndrome in adolescents. J Adolesc Health. 2020;66:491-8.
  • Mookadam F, Goel R, Alharthi MS, et al. Epicardial fat and its association with cardiovascular risk: a cross-sectional observational study. Heart views. 2010;11:103.
  • Bertaso AG, Bertol D, Duncan BB, Foppa M. Epicardial fat: definition, measurements and systematic review of main outcomes. Arq Bras Cardiol. 2013;101:18-28.
  • Gottdiener JS, Bednarz J, Devereux R, et al. American Society of Echocardiography recommendations for use of echocardiography in clinical trials. J Am Soc Echocardiogr. 2004;17:1086-119.
  • Huttin O, Petit MA, Bozec E, et al. Assessment of left ventricular ejection fraction calculation on long-axis views from cardiac magnetic resonance imaging in patients with acute myocardial infarction. Medicine. 2015;94:1-7.
  • Kolh P, Wijns W, Danchin N, et al. Guidelines on myocardial revascularisation. Eur J Cardiothorac Surg. 2010;38:1–52.
  • Hillis LD, Smith PK, Anderson JL, et al. 2011 accf/aha guideline for coronary artery bypass graft surgery: executive summary: a report of the american college of cardiology foundation/ american heart association task force on practice guidelines. Circulation. 2011;124:2610–42.
  • Head SJ, Farooq V, Serruys PW, Kappetein AP. The syntax score and its clinical implications. Heart. 2014;100:169-77.
  • Tanboga IH, Aksakal E, Kurt M, et al. Computed tomography-based syntax score: a case report. Eurasian J Med. 2013;45:65.
  • Karakurt A, Yildiz C, Yildiz A, Başbuğ HS. Assessment of relation between aortic elastic properties and the complexity of coronary artery disease. Acta Cardiol. 2016;71:267-73.
  • World Health Organization. Global action plan for the prevention and control of non-communicable diseases 2013-2020. 2013.
  • Nowbar AN, Gitto M, Howard JP, et al. Mortality from ischemic heart disease: analysis of data from the world health organization and coronary artery disease risk factors from ncd risk factor collaboration. Circ Cardiovasc Qual Outcomes. 2019;12:e005375.
  • Ripka WL, Orsso CE, Haqq AM, et al. Validity and accuracy of body fat prediction equations using anthropometrics measurements in adolescents. Eat Weight Disord. 2021;26:879-86.
  • Ceniccola GD, Castro MG, Piovacari SMF, et al. Current technologies in body composition assessment: advantages and disadvantages. Nutrition. 2019;62:25-31.
  • Ho HCH, Maddaloni E, Buzzetti R. Risk factors and predictive biomarkers of early cardiovascular disease in obese youth. Diabetes Metab Res Rev. 2019;35:e3134.
  • Wu F, Ho V, Fraser BJ, et al. Predictive utility of childhood anthropometric measures on adult glucose homeostasis measures: a 20-year cohort study. Int J Obes. 2018;42:1762-70.
  • Silva KC, Paiva NS, de Faria FR, et al. Predictive ability of seven anthropometric indices for cardiovascular risk markers and metabolic syndrome in adolescents. J Adolesc Health. 2020;66:491-8.
  • Tran NTT, Blizzard CL, Luong KN, et al. The importance of waist circumference and body mass index in cross-sectional relationships with risk of cardiovascular disease in vietnam. PLoS One. 2018;13:e0198202.
  • Lv YB, Liu S, Yin ZX, et al. Associations of body mass index and waist circumference with 3-year all-cause mortality among the oldest old: evidence from a chinese community-based prospective cohort study. J Am Med Dir Assoc. 2018;19:672-78.
  • Zen V, Fuchs FD, Wainstein MV, et al. Neck circumference and central obesity are independent predictors of coronary artery disease in patients undergoing coronary angiography. Am J Cardiovasc Dis. 2012;2:323.
  • Guzel FB, Altunoren O, Gunes H, et al. The relation between epicardial fat tissue thickness and atrial fibrillation ın hemodialysis patients. Semin Dial. 2020;33:428-34.
  • Erdoğan T, Durakoğlugil ME, Çetin M, et al. Epicardial adipose tissue predicts carotid intima-media thickness independently of body mass index and waist circumference. Acta Cardiol Sin. 2019;35:32.

Evaluation of the Correlations of SYNTAX scores, Anthropometric Measurements and Epicardial Fat Tissue in Predicting the Risk of Coronary Artery Disease

Year 2023, Volume: 5 Issue: 3, 438 - 44, 18.09.2023
https://doi.org/10.37990/medr.1241128

Abstract

Aim: To investigate the strength of correlations between some anthropometric parameters, SYNTAX scores and epicardial adipose tissue (EFT) in coronary artery disease (CAD). Also to determine for the first time that the upper half of the chest circumference (CCuH) and neck circumference (NC)/neck length (NL) ratio may be an indicator for predicting cardiovascular risk
Material and Methods: This study included 370 individuals (198 males and 172 females), who were either diagnosed with CAD (n=300) or who were the control group participants (n=70). The EFT was measured and calculated SYNTAX score. Anthropometric measurements included height, weight, NL, NC, Waist circumference (WC), CCuH, Hip circumference (HC), and sagittal abdominal diameter (SAD), Body Mass Index (BMI), Waist circumference/Hip circumference ratio (WHR), and NC/NL ratio. The study was approved by the Niğde Ömer Halisdemir University Non-Interventional Clinical Research Ethics Committee (Protocol number: 2019/29).
Results: The statistical differences in the NL, CCuH, HC, and SAD were observed to be non-significant between the CAD patients and the control group. The NC (367.06±1.99, 37.49±2.64, p=0.04), NC/NL ratio (2.44±0.16, 2.50±0.21, p=0.02), WC (104.69±8.27, 107.55±10.77, p=0.04), Left Ventricular Ejection Fraction (LVEF) (62)-(51) (p<0.001), and EFT (3.06±0.33)-(3.41±0.80) were statistically significantly different between the control group and the CAD group (p<0.001). Elevated SYNTAX scores (r=0.15, p=0.01) and increased EFT (r=0.21, p<0.001) were more common in male patients.
Conclusion: The SYNTAX score was determined to be correlated with the NC, NC/NL ratio, CCuH, WC, HC, WHR, SAD, and EFT and it was found that these parameters increased significantly with increasing SYNTAX scores. These results show that, in addition to the SYNTAX score, anthropometric measurements and EFT quantity can be used for determining the severity of CAD.

References

  • Danaei G, Singh GM, Paciorek CJ, et al. The global cardiovascular risk transition: associations of four metabolic risk factors with national income, urbanization, and western diet in 1980 and 2008. Circulation. 2013;127:1493-502.
  • Horton R. Offline: chronic diseases—the social justice issue of our time. The Lancet. 2015;386:2378.
  • Sanchis-Gomar F, Perez-Quilis C, Leischik R, Lucia A. Epidemiology of coronary heart disease and acute coronary syndrome. Ann Transl Med. 2016;4:256.
  • Murray CJ, Lopez AD. Alternative projections of mortality and disability by cause 1990–2020: global burden of disease study. The Lancet. 1997;349:1498-504.
  • Bağcı A. Syntax Score in Coronary Artery Disease. SDU J Health Sci. 2018;9:44-50.
  • Nagashima Y, Iijima R, Nakamura M, Sugi K. Utility of the syntax score in predicting outcomes after coronary intervention for chronic total occlusion. Herz. 2015;40:1090-6.
  • Sianos G, Morel MA, Kappetein AP, et al. The syntax score: an angiographic tool grading the complexity of coronary artery disease. EuroInterv. 2005;1:219-27.
  • Kolh P, Windecker S, Alfonso F, et al. 2014 esc/eacts guidelines on myocardial revascularization: the task force on myocardial revascularization of the european society of cardiology (esc) and the european association for cardio-thoracic surgery (eacts) developed with the special contribution of the european association of percutaneous cardiovascular interventions (eapci). Eur J Cardiothorac Surg. 2014;46:517-92.
  • Bagci A, Aksoy F, Bas HA. Relationship between development of contrast nephropathy and Syntax score in acutecoronary syndrome. Cukurova Med J. 2019;44:1181-8.
  • Misumida N, Ahmed AE, Barlow M, et al. Prognostic value of anatomical syntax score and syntax score ii in veterans with left main and/or three-vessel coronary artery disease. Am J Cardiol. 2018;122:213-9.
  • Herrera VM, Casas JP, Miranda JJ, et al. Interethnic differences in the accuracy of anthropometric indicators of obesity in screening for high risk of coronary heart disease. Int J Obes. 2009;33:568-76.
  • Casadei K, Kiel J. Anthropometric measurement. In StatPearls [Internet]. StatPearls Publishing, 2020.
  • Solomons N, Kruger HS, Puoane T. Association between dietary adherence, anthropometric measurements and blood pressure in an urban black population, south africa. South Afr J Clin Nutr. 2020;33:1-9.
  • Silva KC, Paiva NS, de Faria FR, et al. predictive ability of seven anthropometric indices for cardiovascular risk markers and metabolic syndrome in adolescents. J Adolesc Health. 2020;66:491-8.
  • Mookadam F, Goel R, Alharthi MS, et al. Epicardial fat and its association with cardiovascular risk: a cross-sectional observational study. Heart views. 2010;11:103.
  • Bertaso AG, Bertol D, Duncan BB, Foppa M. Epicardial fat: definition, measurements and systematic review of main outcomes. Arq Bras Cardiol. 2013;101:18-28.
  • Gottdiener JS, Bednarz J, Devereux R, et al. American Society of Echocardiography recommendations for use of echocardiography in clinical trials. J Am Soc Echocardiogr. 2004;17:1086-119.
  • Huttin O, Petit MA, Bozec E, et al. Assessment of left ventricular ejection fraction calculation on long-axis views from cardiac magnetic resonance imaging in patients with acute myocardial infarction. Medicine. 2015;94:1-7.
  • Kolh P, Wijns W, Danchin N, et al. Guidelines on myocardial revascularisation. Eur J Cardiothorac Surg. 2010;38:1–52.
  • Hillis LD, Smith PK, Anderson JL, et al. 2011 accf/aha guideline for coronary artery bypass graft surgery: executive summary: a report of the american college of cardiology foundation/ american heart association task force on practice guidelines. Circulation. 2011;124:2610–42.
  • Head SJ, Farooq V, Serruys PW, Kappetein AP. The syntax score and its clinical implications. Heart. 2014;100:169-77.
  • Tanboga IH, Aksakal E, Kurt M, et al. Computed tomography-based syntax score: a case report. Eurasian J Med. 2013;45:65.
  • Karakurt A, Yildiz C, Yildiz A, Başbuğ HS. Assessment of relation between aortic elastic properties and the complexity of coronary artery disease. Acta Cardiol. 2016;71:267-73.
  • World Health Organization. Global action plan for the prevention and control of non-communicable diseases 2013-2020. 2013.
  • Nowbar AN, Gitto M, Howard JP, et al. Mortality from ischemic heart disease: analysis of data from the world health organization and coronary artery disease risk factors from ncd risk factor collaboration. Circ Cardiovasc Qual Outcomes. 2019;12:e005375.
  • Ripka WL, Orsso CE, Haqq AM, et al. Validity and accuracy of body fat prediction equations using anthropometrics measurements in adolescents. Eat Weight Disord. 2021;26:879-86.
  • Ceniccola GD, Castro MG, Piovacari SMF, et al. Current technologies in body composition assessment: advantages and disadvantages. Nutrition. 2019;62:25-31.
  • Ho HCH, Maddaloni E, Buzzetti R. Risk factors and predictive biomarkers of early cardiovascular disease in obese youth. Diabetes Metab Res Rev. 2019;35:e3134.
  • Wu F, Ho V, Fraser BJ, et al. Predictive utility of childhood anthropometric measures on adult glucose homeostasis measures: a 20-year cohort study. Int J Obes. 2018;42:1762-70.
  • Silva KC, Paiva NS, de Faria FR, et al. Predictive ability of seven anthropometric indices for cardiovascular risk markers and metabolic syndrome in adolescents. J Adolesc Health. 2020;66:491-8.
  • Tran NTT, Blizzard CL, Luong KN, et al. The importance of waist circumference and body mass index in cross-sectional relationships with risk of cardiovascular disease in vietnam. PLoS One. 2018;13:e0198202.
  • Lv YB, Liu S, Yin ZX, et al. Associations of body mass index and waist circumference with 3-year all-cause mortality among the oldest old: evidence from a chinese community-based prospective cohort study. J Am Med Dir Assoc. 2018;19:672-78.
  • Zen V, Fuchs FD, Wainstein MV, et al. Neck circumference and central obesity are independent predictors of coronary artery disease in patients undergoing coronary angiography. Am J Cardiovasc Dis. 2012;2:323.
  • Guzel FB, Altunoren O, Gunes H, et al. The relation between epicardial fat tissue thickness and atrial fibrillation ın hemodialysis patients. Semin Dial. 2020;33:428-34.
  • Erdoğan T, Durakoğlugil ME, Çetin M, et al. Epicardial adipose tissue predicts carotid intima-media thickness independently of body mass index and waist circumference. Acta Cardiol Sin. 2019;35:32.
There are 35 citations in total.

Details

Primary Language English
Subjects ​Internal Diseases
Journal Section Original Articles
Authors

Selim Çınaroğlu 0000-0002-4495-6106

Hasan Akkaya 0000-0003-0853-2549

Hacı Keleş 0000-0002-0770-8269

Fatih Çiçek 0000-0002-9377-6187

Early Pub Date May 25, 2023
Publication Date September 18, 2023
Acceptance Date May 4, 2023
Published in Issue Year 2023 Volume: 5 Issue: 3

Cite

AMA Çınaroğlu S, Akkaya H, Keleş H, Çiçek F. Evaluation of the Correlations of SYNTAX scores, Anthropometric Measurements and Epicardial Fat Tissue in Predicting the Risk of Coronary Artery Disease. Med Records. September 2023;5(3):438-44. doi:10.37990/medr.1241128

17741

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Assoc. Prof. Zülal Öner
Address: İzmir Bakırçay University, Department of Anatomy, İzmir, Türkiye

Assoc. Prof. Deniz Şenol
Address: Düzce University, Department of Anatomy, Düzce, Türkiye

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