Visceral fat index: a novel predictor for coronary collateral circulation
Arch. endocrinol. metab. (Online)
;
64(2): 150-158, Mar.-Apr. 2020. tab, graf
Artigo
em Inglês
| 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.
Texto completo:
DisponíveL
Índice:
LILACS (Américas)
Assunto principal:
Doença da Artéria Coronariana
/
Circulação Colateral
/
Circulação Coronária
/
Gordura Intra-Abdominal
Tipo de estudo:
Estudo prognóstico
/
Fatores de risco
Limite:
Idoso
/
Feminino
/
Humanos
/
Masculino
Idioma:
Inglês
Revista:
Arch. endocrinol. metab. (Online)
Assunto da revista:
Endocrinologia
/
Metabolismo
Ano de publicação:
2020
Tipo de documento:
Artigo
País de afiliação:
Turquia
Instituição/País de afiliação:
Akdeniz University/TR
/
University of Health Sciences Antalya/TR
Similares
MEDLINE
...
LILACS
LIS