• Cleodice Alves Martins, Júlia Rabelo Santos Ferreira, Monica Cattafesta, Edson Theodoro Dos Santos Neto, Jose Luiz Marques Rocha, and Luciane Bresciani Salaroli.
• Graduate Program in Nutrition and Health, Health Sciences Center, Universidade Federal do Espírito Santo, Vitória, Brazil.
• Nutrition. 2023 Feb 1; 106: 111890111890.

ObjectivesAbdominal obesity favors the involvement of cardiometabolic complications in renal patients on hemodialysis. Thus, the aim of the study was to identify the cut-points of the conicity index in individuals undergoing hemodialysis.MethodsThis was a cross-sectional study carried out with 953 individuals undergoing hemodialysis in clinics in a metropolitan region of southeastern Brazil. The conicity index was calculated using the following mathematical equation: waist circumference/0.109 × √weight/height. The receiver operating characteristic (ROC) curve was calculated from the analysis of latent classes by cross-validation through a latent variable of abdominal obesity. This latent variable was defined using the response pattern of the observed anthropometric variables considering the presence and absence of abdominal obesity: waist circumference, waist-to-height ratio, and body shape index. The cut-points identified were elucidated by the area under the curve (AUC), Youden index, sensitivity, and specificity.ResultsThe cut-points for the conicity index found for both sexes were similar, resulting in a cut-point for men of 1.275 (AUC, 0.921; Youden index, 0.666), with a sensitivity and specificity of 83% and 83.6%, and a cut-point for women of 1.285 (AUC, 0.921; Youden index, 0.679), with a sensitivity and specificity of 78.6% and 89.3%, respectively.ConclusionsThe conicity index showed high discriminatory power for the identification of abdominal obesity in hemodialysis patients, therefore it can be a simple and easily accessible tool to be incorporated into clinical practice in this population.Copyright © 2022 Elsevier Inc. All rights reserved.

16 keywords...

hide…