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Visceral fat index: a novel predictor for coronary collateral circulation
Sahinturk, Yasin; Kucukseymen, Selcuk; Avci, Rauf; Akarsu, Ayse; Yolcular, Basak Oguz; Koker, Gokhan; Tokuc, Abdullah; Bayar, Nermin; Arslan, Sakir.
  • Sahinturk, Yasin; University of Health Sciences Antalya. Training and Research Hospital. Departments of Internal Medicine. Antalya. TR
  • Kucukseymen, Selcuk; University of Health Sciences Antalya. Training and Research Hospital. Departments of Cardiology. Antalya. TR
  • Avci, Rauf; University of Health Sciences Antalya. Training and Research Hospital. Departments of Cardiology. Antalya. TR
  • Akarsu, Ayse; University of Health Sciences Antalya. Training and Research Hospital. Departments of Internal Medicine. Antalya. TR
  • Yolcular, Basak Oguz; Akdeniz University. Department of Biostatistics. Antalya. TR
  • Koker, Gokhan; University of Health Sciences Antalya. Training and Research Hospital. Departments of Internal Medicine. Antalya. TR
  • Tokuc, Abdullah; University of Health Sciences Antalya. Training and Research Hospital. Departments of Internal Medicine. Antalya. TR
  • Bayar, Nermin; University of Health Sciences Antalya. Training and Research Hospital. Departments of Cardiology. Antalya. TR
  • Arslan, Sakir; University of Health Sciences Antalya. Training and Research Hospital. Departments of Cardiology. Antalya. TR
Arch. endocrinol. metab. (Online) ; 64(2): 150-158, Mar.-Apr. 2020. tab, graf
Article in English | LILACS | ID: biblio-1131066
ABSTRACT
ABSTRACT Objective This study was designed to investigate the role of visceral adiposity along with other clinical parameters in predicting poor coronary collateral circulation (CCC) among patients with severe obstructive coronary artery disease (CAD). Subjects and methods A total of 135 patients with severe obstructive CAD and good (n = 70) or poor (n = 65) CCC were included. Data on angiographically detected CCC, the quality criteria for CCC (Rentrop scores) and visceral fat index (VFI) obtained via bioelectrical impedance were compared between good and poor CCC groups. Independent predictors of poor CCC, the correlation between VFI and Rentrop score and the role of VFI in the identification of CCC were analyzed. Results A significant negative correlation was noted between VFI and Rentrop scores (r = -0.668, < 0.001). The presence of hypertension (OR 4.244, 95% CI 1.184 to 15.211, p = 0.026) and higher VFI (OR 1.955, 95% CI 1.342 to 2.848, p < 0.001) were shown to be independent predictors of an increased risk for poor CCC. ROC analysis revealed a VFI > 9 (AUC [area under the curve] (95% CI) 0.898 (0.834-0.943), p < 0.0001) to be a potential predictor of poor CCC with a sensitivity of 95.38% and specificity of 85.71%. Conclusion In conclusion, our findings revealed comorbid hypertension and higher VFI to significantly predict the risk of poor CCC in patients with severe obstructive CAD.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Coronary Artery Disease / Collateral Circulation / Coronary Circulation / Intra-Abdominal Fat Type of study: Prognostic study / Risk factors Limits: Aged / Female / Humans / Male Language: English Journal: Arch. endocrinol. metab. (Online) Journal subject: Endocrinology / Metabolism Year: 2020 Type: Article Affiliation country: Turkey Institution/Affiliation country: Akdeniz University/TR / University of Health Sciences Antalya/TR

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Full text: Available Index: LILACS (Americas) Main subject: Coronary Artery Disease / Collateral Circulation / Coronary Circulation / Intra-Abdominal Fat Type of study: Prognostic study / Risk factors Limits: Aged / Female / Humans / Male Language: English Journal: Arch. endocrinol. metab. (Online) Journal subject: Endocrinology / Metabolism Year: 2020 Type: Article Affiliation country: Turkey Institution/Affiliation country: Akdeniz University/TR / University of Health Sciences Antalya/TR