Usefulness of Muscle Ultrasound to Study Sarcopenic Obesity

Background and objectives: Sarcopenic obesity (SO) is an emerging problem, especially in candidates for bariatric surgery (BS). We hypothesized that musculoskeletal ultrasound (MUS), a simple and accessible method, could be a reliable index of SO. Materials and Methods: A cross-sectional pilot study...

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Detalles Bibliográficos
Autores: Simó-Servat, Andreu|||0000-0002-1092-1327, Ibarra, Montse, Libran, Mireia, Rodríguez, Silvia, Perea, Verónica|||0000-0001-8104-7326, Quirós, Carmen|||0000-0002-0423-6446, Orois, Aida, Pérez, Noelia, Simó Canonge, Rafael|||0000-0003-0475-3096, Barahona, María-José|||0000-0003-2935-6521
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:292264
Acceso en línea:https://ddd.uab.cat/record/292264
https://dx.doi.org/urn:doi:10.3390/jcm11102886
Access Level:acceso abierto
Palabra clave:Sarcopenic obesity
Fat mass
Lean mass
Ultrasound
Descripción
Sumario:Background and objectives: Sarcopenic obesity (SO) is an emerging problem, especially in candidates for bariatric surgery (BS). We hypothesized that musculoskeletal ultrasound (MUS), a simple and accessible method, could be a reliable index of SO. Materials and Methods: A cross-sectional pilot study including 122 subjects (90 cases and 32 controls, 73% female, mean age: 51.2 years) who underwent BS was conducted at University Hospital Mútua Terrassa. The lean mass (LM) was calculated by bioelectrical impedance analysis (BIA) and the thigh muscle thickness (TMT) by MUS. To identify the subjects with SO by BIA, we used skeletal muscle index (SMI). The validity of MUS was determined using the ROC curve. Results: The mean BMI in the obesity group was 44.22 kg/m 2. We observed a correlation between the LM and SMI assessed by BIA and the TMT assessed by MUS (R = 0.46, p < 0.001). This correlation was maintained at significant levels in the SO group (n = 40): R = 0.79; p = 0.003). The TMT assessed by MUS was able to predict SMI using BIA (AUC 0.77; 95% CI: 0.68242 to 0.84281). The optimal cut-off point for maximum efficiency was 1.57 cm in TMT (sensitivity = 75.6% and specificity = 71.1%). Conclusions: The TMT of the quadriceps assessed by US is a useful tool for identifying subjects with SO. Larger studies to validate this simple low-cost screening strategy are warranted.

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