Study to Validate the ESPEN-EASO Algorithm for Diagnosing Sarcopenic Obesity in Adults with Obesity

What this Trial Is About

Researchers are investigating sarcopenic obesity SO, a condition that combines high body fat with low muscle mass, focusing on how it affects muscle function. This study evaluates the ESPEN-EASO algorithm used to diagnose SO by examining its relationship with blood biomarkers and physical abilities. The study aims to improve understanding and validation of SO diagnosis through detailed testing and questionnaires involving adults with and without SO. The study involves enrolling 75 adults with sarcopenic obesity and 75 adults with obesity but without sarcopenia as a control group. Participants will undergo diagnostic tests including dual energy X-ray absorptiometry DXA, ultrasonography, indirect calorimetry, magnetic resonance imagingspectroscopy MRIMRS, and bioimpedentiometry. These tests help measure body composition, muscle mass, and fat distribution, alongside evaluating muscle function and circulating biomarkers. Participants will be assessed at the start and after 6 months to examine associations between diagnostic criteria and various blood markers such as liver enzymes, cholesterol, hormones, inflammatory markers, and muscle strength tests like hand-grip and walking tests. The study also includes questionnaires and multidimensional tests to profile participants more thoroughly. Privacy protections and informed consent are ensured, and the total observation period includes baseline and 6-month follow-up evaluations.

Validation of an Algorithm for the Diagnosis of Sarcopenic Obesity