ABC | Volume 111, Nº5, November 2018

Brief Communication Scorsatto et al Metabolically healthy obese women Arq Bras Cardiol. 2018; 111(5):733-737 Figure 1 – Accuracy and Receiver operating characteristic (ROC) curves for waist circumference and visceral adiposity index at cutoff values of 108.2 cm and 99.2, respectively. LR, Likelihood ratio; AUC: area under the receiver operating characteristic curve; 95% CI: 95% confidence interval; LR: Likelihood ratio; AUC: area under the receiver operating characteristic curve; 95% CI: 95% confidence interval. Waist circumference Visceral adiposity index Sensitivity Sensitivity 1 – Specificity 1 – Specificity AUC ROC = 0.718 AUC ROC = 0.710 1.0 1.0 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 0.0 0.0 1.0 1.0 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 0.0 0.0 Sensitivity (%) 95% CI Specificity (%) 95% CI AUC (95% CI) LR (+) RV (–) Waist circumference (108.2 cm) 72.4 (59.8–82.3) 66.9 (59.7–73.3) 0.72 (59.7–73.3) 2.18 0.41 Visceral adiposity index (VAI-99.2) 89.7 (79.2–95.2) 48.6 (41.4–55.9) 48.6 (41.4–55.9) 1.75 0.21 1. Roberson LL, Aneni EC, MaziakW, Agatston A, Feldman T, Rouseff M, et al. Beyond BMI: The “Metabolically healthy obese” phenotype& its association with clinical/ subclinical cardiovascular disease and all-cause mortality – a systematic review. BMC Public Health. 2014 Jan 14;14:14. 2. RamiresEK,MenezesRC,Longo-SilvaG,SantosTG,MarinhoPM,Silveira JA. Prevalencia e fatores associados coma SindromeMetabolica na populaço adulta brasileira: pesquisa nacional de saude – 2013. Arq Bras Cardiol. 2018;110(5):455-66. 3. LinH, Zhang L, Zheng R,Zheng Y. The prevalence, metabolic risk and effects of lifestyle intervention for metabolically healthy obesity: a systematic review and meta-analysis A PRISMA-compliant article. Medicine (Baltimore). 2017;96(47):e8838. 4. Pimentel AC, ScorsattoM, Oliveira GM, Rosa G, Luiz, RR. Characterization of metabolically healthy obese Brazilians and cardiovascular risk prediction. Nutrition. 2015;31(6):827-33. 5. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC et al. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations inman. Diabetologia. 1985;28(7):412–9. 6. Eckel N, Li Y, Kuxhaus O, Stefan N, Hu FB, Schulze MB. Transition from metabolic healthy to unhealthy phenotypes and association with cardiovascular disease risk across BMI categories in 90 257 women (the Nurses’ Health Study): 30 year follow-up from a prospective cohort study. Lancet Diabetes Endocrinol 2018;6(9):714-724. 7. Berezina A, Belyaeva O, Berkovich O, Baranova E, Karonova T, Bazhenova E, et al. Prevalence, risk factors, and genetic traits in metabolically healthy and unhealthy obese individuals. Biomed Res Int. 2015; 2015:548734. 8. Iliodromiti S, Celis-Morales CA, Lyall DM, Anderson J, Gray SR, Mackay DF, et al. The impact of confounding on the associations of different adiposity measures with the incidence of cardiovascular disease: a cohort study of 296 535 adults of white European descent. Eur Heart J. 2018;39(17):1514-20. 9. Yang F, Wang G, Wang Z, Sun M, Cao M, Zhu Z, et al. Visceral adiposity index may be a surrogate marker for the assessment of the effects of obesity on arterial stiffness. PLoS One. 2014;9(8):e104365. 10. Hamer M, Bell JA, Sabia S, Batty GD, Kivimäki M. Stability of metabolically healthy obesity over 8 years: the English Longitudinal Study of Ageing. Eur J Endocrinol. 2015;173(5):703-8. References 736