Detalle Publicación

ARTÍCULO
Clinical usefulness of abdominal bioimpedance (ViScan) in the determination of visceral fat and its application in the diagnosis and management of obesity and its comorbidities
Título de la revista: CLINICAL NUTRITION
ISSN: 0261-5614
Volumen: 37
Número: 2
Páginas: 580 - 589
Fecha de publicación: 2018
Lugar: WOS
Resumen:
Background & aims: Visceral adipose tissue (VAT) has been shown to be profoundly responsible of most of the obesity-associated metabolic derangements. The measurement of VAT usually implies the use of imaging techniques such as magnetic resonance imaging or computed tomographi(CT), Our aim was to evaluate the accuracy of the determination of VAT by means of abdominal bioimpedance (BIA) with the ViScan device in comparison with Cr and its clinical usefulness in the management of obesity. Methods: We studied a sample of 140 subjects (73 males/67 females) with BMI ranging from 17.7 to 50.4 kg/m(2) to evaluate the accuracy of the ViScan in comparison to CT to determine VAT. To further analyze ViScan's clinical usefulness we studied a separate cohort (n = 2849) analyzing cardiometabolic risk factors. Furthermore, we studied the ability of the ViScan to detect changes in VAT after weight gain (n = 107) or weight loss (n = 335). The study was performed from October 2009 through June 2015. Results: ViScan determines VAT with a good accuracy in individuals with a CT-VAT up to 200 cm(2), and then with lower precision with increasing body mass, exhibiting a moderate high correlation with Cri VAT (r = 0.75, P < 0.001). Importantly, VAT determination with the ViScan exhibits better correlations with several cardiometabolic risk factors such as glucose, triglycerides, HDL-cholesterol and markers of fatty liver than anthropometric measurements such as BMI or waist circumference. ViScan is able to detect VAT variations after body weight changes. Conclusions: Since the possibility of measuring VAT by imaging techniques is not always available, abdominal BIA represents a good alternative to estimate VAT, allowing the identification of patients with increased VAT-related cardiometabolic risk and a better management of obese patients. (C) 2017 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.