Development and validation of predictive equation for visceral fat
Abstract
El exceso de grasa visceral constituye un factor de riesgo independiente y se correlaciona más fuertemente con los cambios metabólicos cuando se compara con la grasa abdominal total o subcutánea. El objetivo del estudio fue desarrollar y validar una ecuación predictiva para estimar el tejido adiposo visceral (TAV) a partir de parámetros antropométricos y bioquímicos. Estudio metodológico desarrollado a partir de datos de un diseño transversal involucrando individuos de ambos sexos, con edad ≥20 años, donde se evaluó el IVA (por tomografía computarizada); parámetros antropométricos: índice de masa corporal (IMC), circunferencia de la cintura (AC), circunferencia de la cadera (HC), circunferencia del cuello (NC) y circunferencia del muslo (WCx); bioquímicos: glucosa en ayunas (FG), hemoglobina glucosilada (HbA1C), triglicéridos (TG), colesterol total (TC) y fracciones, proteína C reactiva (PCR) y ácido úrico (AU); y datos demográficos: sexo, edad y raza. Se evaluaron un total de 160 individuos con edades entre 20 y 80 años y una media de 53,2±13,9 años. La ecuación predictiva desarrollada para estimar el TAV en hombres fue TAV= -2307.8 + 5.8 (edad) -34.1(raza) + 722.3 (talla) + 24.2(PC) - 3.2( GJ) + 52.8(HbA1c) + 29.3(AU) ( R2 ajustado: 67,6%). Para mujeres, TAV = - 109,0 + 1,1 (edad) - 2,9 (HC) + 0,3 (TG) + 5,8 (IMC) + 118 (PC) (R2 ajustado: 48,1 %). La capacidad predictiva de las ecuaciones desarrolladas en relación con el VAT determinado por tomografía computarizada fue del 64,1% y 49,6% para hombres y mujeres, respectivamente. Las ecuaciones propuestas y validadas pueden ser utilizadas para estimar el VAT cuando no se disponga de pruebas de imagen, siendo una herramienta de más fácil aplicabilidad y mayor practicidad
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