Visceral fat index: a novel predictor for coronary collateral circulation

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Sahinturk Y., Kucukseymen S., Avci R., Akarsu A., Yolcular B. O., Koker G., ...Daha Fazla

ARCHIVES OF ENDOCRINOLOGY METABOLISM, cilt.64, sa.2, ss.150-158, 2020 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 64 Sayı: 2
  • Basım Tarihi: 2020
  • Doi Numarası: 10.20945/2359-3997000000218
  • Dergi Adı: ARCHIVES OF ENDOCRINOLOGY METABOLISM
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CAB Abstracts, EMBASE, MEDLINE, Veterinary Science Database, Directory of Open Access Journals
  • Sayfa Sayıları: ss.150-158
  • Anahtar Kelimeler: Obstructive coronary artery disease, coronary collateral circulation, visceral adiposity, hypertension, body mass index, ADIPOSITY INDEX, CARDIOVASCULAR-DISEASE, VESSEL DEVELOPMENT, METABOLIC SYNDROME, DIABETES-MELLITUS, BODY-FAT, ARTERY, ASSOCIATION, FLOW, DETERMINANTS
  • Akdeniz Üniversitesi Adresli: Evet

Özet

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.