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

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

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.

___

  • 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.
Medical Records-Cover
  • Yayın Aralığı: Yılda 3 Sayı
  • Başlangıç: 2019
  • Yayıncı: Zülal ÖNER
Sayıdaki Diğer Makaleler

Determination of Antioxidant and Anticancer Activities of C. Sativa Leaf Extracts on MCF7 Human Breast Cancer Cell Line

Fadime BEYAZYÜZ, Elif GÜLBAHÇE MUTLU, Serife ALPA, Fatma Zehra ERBAYRAM, Fatma Nur TÜRKOĞLU, Şemsettin KULAÇ

Did the COVID-19 Pandemic Period Increased Suicide Attempts in Society?

Ahmet UZUN, Bora ÇEKMEN

Application the Beck Depression Test to Screen for Depressive Findings Before and After Treatment in Patients with Iron Deficiency Anemia and/or Vitamin D Deficiency

Cem SELİM

Ankle Bone Anatomy in Turkish Population: A Radiological Study

Aybars KIVRAK, İbrahim ULUSOY, Mehmet YILMAZ

Investigation of the Sox-9 and Caspase-6 Immune Activity in Placentas of Pregnant Women with GDM

Ece ÖCAL, Senem ALKAN AKALIN, Engin DEVECİ

Ultrastructural Changes and Inflammatory Processes of Day-Dependent Cisplatin Administration on Rat Cardiac Tissue

Tuba OZCAN METİN, Gulsen BAYRAK, Selma YAMAN, Adem DOĞANER, Atila YOLDAŞ, Nadire ESER, Duygun ALTINTAŞ AYKAN, Banu YILMAZ, Akif Hakan KURT, Mehmet ŞAHİN, Gulsah GURBUZ

Can Neutrophil-Lymphocyte and Platelet-Lymphocyte Ratios Predict the Risk of Developing New Ischemic Lesions After Carotid Stenting?

Ahmet YABALAK, Muhammed Nur ÖĞÜN

Can Cranium Size be Predicted from Orbit Dimensions?

Hatice GÜLER, Halil YILMAZ

Determination of the Most Appropriate Ultrasound Device in Healthcare Institutions with the Critic-GRA Hybrid Method

Hakan Murat ARSLAN

The Use of Botulinum Toxin in Temporomandibular Disorders: A Bibliometric Study

Serkan YILDIZ, Feridun ABAY, S. Kutalmış BÜYÜK