ECEESPE2025 ePoster Presentations Metabolism, Nutrition and Obesity (164 abstracts)
Abdominal adipose tissue ultrasound characterization in patients living with excess body fat: experience from our Centre
Carolina M. Perdomo 1,2,3 , Adrián Gil Korilis 1 , Henar Casal 1 , Marta Zaballos 1 , Isabela Valdes 1 , Patricia Yárnoz 1 , Camilo Silva 1,2,3 , Gema Fruhbeck 1,2,3 & Javier Escalada 1,2,3
1Clínica Universidad de Navarra, Pamplona, Spain; 2IdiSNA, Pamplona, Spain; 3CIBERObn, Pamplona, Spain
JOINT4030
Background: Ultrasound measurement of abdominal fat is precise, reliable, inexpensive, with measurement accuracy equivalent to computed tomography and magnetic resonance imaging. Despite this, widespread adoption has been hampered by lack of experience or reliable standard operating procedures. The aim of our study was to characterize the adipose tissue layers of the abdominal wall trough ultrasound assessment in patients with excess body fat assess and compare our results with recent proposed guidelines.
Methods: Retrospective transversal study including 103 adult patients who underwent abdominal wall ultrasound at Clínica Universidad de Navarra. Exclusion criteria included BMI <25 kg/m2 with normal fat mass. Fat mass was quantified by Clínica Universidad de Navarra-Body Adiposity Estimator. Ultrasound scan was performed in the midpoint between the xiphoid appendix and the navel (1-3 cm above the umbilicus) along the alba line.
Results: Mean age was 46.6 ± 14.4 years and 74.8% were women. Fifty patients (49%) were under GLP-1 analogs. After excluding patient treated with GLP-1 analogs, subcutaneous adipose tissue was moderately (P <0.05) correlated to preperitoneal adipose tissue (r = 0.41), BMI (r = 0.32), tryglicerides level (r = 0.32), the presence of diabetes (r = 0.34), dyslipidemia (r = 0.38) and with the number of metabolic abnormalities (r = 0.29). Preperitoneal adipose tissue was correlated with BMI (r = 0.36), ALT levels (r = 0.28) and triglycerides (r = 0.39). Patients with a subcutaneous adipose tissue measurement >1.8 cm (median value), had a strong correlation with the number of metabolic abnormalities (r = 0.49; P <0.01).
Conclusions: Ultrasound abdominal wall characterization must include the measurement of subcutaneous adipose tissue maximum thickness as it is associated with the presence of metabolic abnormalities, and therefore, metabolic risk. Identification and management/decrease of excess adiposity must be a target in a primary and secondary prevention setting. Abdominal wall ultrasound assessment may be an adequate target in the daily clinical setting.
Volume 110
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Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
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