Impact of the new EASO obesity definition on the detection of atheromatosis in subjects with low-to-moderate cardiovascular risk
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background Traditional body mass index (BMI) does not adequately reflect adipose tissue distribution and associated cardiovascular (CV) risk. To improve risk stratification, the European Association for the Study of Obesity (EASO) proposes to extend the diagnosis of obesity to include individuals with a BMI of 25–30 kg/m², a waist-to-height ratio (WtHR) ≥0.5, and any obesity-related complication. Objective To examine whether this new definition of obesity can better identify the presence of subclinical atheromatosis disease (SAD) in terms of arterial plaque burden compared to the classical BMI-based definition. Methods A cross-sectional including 8,330 participants from the ILERVAS project (ClinicalTrials.gov Identifier: NCT03228459), aged 45–70 years with low-to-moderate CV risk and no previous CV disease, was included. Obesity was classified using traditional (BMI ≥ 30 kg/m²) and new definitions. Atherosclerosis was assessed through Doppler ultrasound of carotid and femoral arteries. Logistic regression models adjusted for cardiovascular risk factors were used to evaluate associations between obesity definitions and SAD. Results The new definition increased obesity prevalence from 37.2% to 71.7%. It also revealed higher detection of atheromatous plaques (72.9% vs. 68.6%, p < 0.001) and affected more vascular territories. Multivariable analysis showed the new definition independently predicted overall plaque presence (OR 1.54, 95% CI 1.22–1.94, p < 0.001) and femoral atherosclerosis (OR 1.36, 95% CI 1.10–1.68, p = 0.004). Similar results were obtained when only WtHR was considered, excluding obesity-related complications. Conclusion The new obesity definition identifies more efficiently individuals at risk for atherosclerosis, especially in the femoral region, compared to the classic BMI definition. Further studies to assess the cost-effectiveness of this approach seem warranted.
Source: Frontiers in Endocrinology
Institutions: Universitat de Lleida, Hospital Universitari Arnau de Vilanova, Instituto de Investigación Biomédica de Lleida, Instituto de Salud Carlos III, Universitat Autònoma de Barcelona, Hospital de Sant Pau, Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas, Corporació Sanitària Parc Taulí, Institute of Research and Innovation Parc Tauli, Vall d'Hebron Institut de Recerca
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
Awards: ANGEL: A machine learning algorithm to predict atherosclerotic cardiovascular disease., ¿CONOCER LA PREDISPOSICIÓN GENETICA DEL PACIENTE CON OBESIDAD AYUDA A MEJORAR LA EFICACIA DE LA CIRUGÍA BARIÁTRICA?, SUSCEPTIBILIDAD GENÉTICA PARA PREDECIR LA PÉRDIDA DE PESO TRAS LA CIRUGÍA BARIÁTRICA., Papel de PTEN en la reabsorcion tubular renal de proteinas. Implicaciones en nefropatias proteinuricas., G7334572374
OpenAlex ID: W4415029234
