• Eur. J. Intern. Med. · Jun 2024

    Cardiometabolic risk stratification using a novel obesity phenotyping system based on body adiposity and waist circumference.

    • Javier Gómez-Ambrosi, Victoria Catalán, Beatriz Ramírez, Laura Salmón-Gómez, Rocío Marugán-Pinos, Amaia Rodríguez, Sara Becerril, Maite Aguas-Ayesa, Patricia Yárnoz-Esquíroz, Laura Olazarán, Carolina M Perdomo, Camilo Silva, Javier Escalada, and Gema Frühbeck.
    • Metabolic Research Laboratory, Clínica Universidad de Navarra, Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Pamplona, Spain; Obesity and Adipobiology Group, Instituto de Investigación Sanitaria de Navarra (IdiSNA) Pamplona, Spain. Electronic address: jagomez@unav.es.
    • Eur. J. Intern. Med. 2024 Jun 1; 124: 546054-60.

    BackgroundThe estimation of obesity-associated cardiometabolic risk does not usually take into account body composition or the distribution of adiposity. The aim of the present study was to assess the clinical usefulness of a novel obesity phenotyping system based on the combination of actual body fat percentage (BF%) and waist circumference (WC) according to the cardiometabolic risk estimation.MethodsA classification matrix combining BF% and WC as measures of both amount and distribution of adiposity establishing nine body phenotypes (3 BF% x 3 WC) was developed. Individuals were grouped in five different cardiometabolic risk phenotypes. We conducted a validation study in a large cohort of White subjects from both genders representing a wide range of ages and adiposity (n = 12,754; 65 % females, aged 18-88 years).ResultsThe five risk groups using the matrix combination of BF% and WC exhibited a robust linear distribution regarding cardiometabolic risk, estimated by the Metabolic Syndrome Severity Score, showing a continuous increase between groups with significant differences (P < 0.001) among them, as well as in other cardiometabolic risk factors. An additional 24 % of patients at very high risk was detected with the new classification system proposed (P < 0.001) as compared to an equivalent matrix using BMI and WC instead of BF% and WC.ConclusionsA more detailed phenotyping should be a priority in the diagnosis and management of patients with obesity. Our classification system allows to gradually estimate the cardiometabolic risk according to BF% and WC, thus representing a novel and useful tool for both research and clinical practice.Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.

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