Simó-Servat Andreu, Ibarra Montse, Libran Mireia, Rodríguez Silvia, Perea Verónica, Quirós Carmen, Orois Aida, Pérez Noelia, Simó Rafael, Barahona Maria-José
Department of Endocrinology and Nutrition, Hospital Universitari Mútua Terrassa, Plaça del Doctor Robert, 5, 08221 Terrassa, Spain.
Department of Medicine, Autonomous University of Barcelona, 08193 Bellaterra, Spain.
J Clin Med. 2022 May 19;11(10):2886. doi: 10.3390/jcm11102886.
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/m2. 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.
肌少性肥胖(SO)是一个新出现的问题,在肥胖症手术(BS)候选者中尤为突出。我们推测,肌肉骨骼超声(MUS)作为一种简单且可及的方法,可能是SO的可靠指标。材料与方法:在特拉萨大学医院开展了一项横断面试点研究,纳入122名接受BS的受试者(90例病例和32名对照,73%为女性,平均年龄:51.2岁)。通过生物电阻抗分析(BIA)计算瘦体重(LM),通过MUS测量大腿肌肉厚度(TMT)。为通过BIA识别SO受试者,我们使用了骨骼肌指数(SMI)。使用ROC曲线确定MUS的有效性。结果:肥胖组的平均体重指数为44.22kg/m²。我们观察到通过BIA评估的LM和SMI与通过MUS评估的TMT之间存在相关性(R = 0.46,p < 0.001)。在SO组(n = 40)中,这种相关性在显著水平上得以维持:R = 0.79;p = 0.003)。通过MUS评估的TMT能够使用BIA预测SMI(AUC 0.77;95%CI:0.68242至0.84281)。最大效率的最佳截断点在TMT中为1.57cm(敏感性 = 75.6%,特异性 = 71.1%)。结论:超声评估的股四头肌TMT是识别SO受试者的有用工具。有必要开展更大规模的研究来验证这种简单低成本的筛查策略。