Bittel Adam J, Bittel Daniel C, Tuttle Lori J, Strube Michael J, Mueller Michael J, Cade W Todd, Sinacore David R
1Program in Physical Therapy, Washington University School of Medicine, St Louis, Missouri. 2Doctor of Physical Therapy Program, School of Exercise and Nutritional Sciences, San Diego State University, San Diego, California.
J Geriatr Phys Ther. 2017 Apr/Jun;40(2):86-94. doi: 10.1519/JPT.0000000000000076.
Excess lower extremity intermuscular adipose tissue (IMAT), reduced strength, and functional limitations are common in obese individuals with and without diabetes (the former termed diabesity). Individuals with diabesity are particularly susceptible to accelerated sarcopenia, which may be underdiagnosed. The purpose of this study was to determine critical values for leg IMAT volume, plantar flexor (PF) muscle strength, and physical performance that help identify individuals with diabesity who have sarcopenia.
Forty-three age- and sex-matched obese adults were studied: 12 with type 2 diabetes, 21 with diabetes and peripheral neuropathy, and 10 nondiabetic controls. Dual-energy x-ray absorptiometry-derived skeletal muscle index determined classification of sarcopenia. Leg fat (% IMAT), ankle (PF) peak torque, and power while ascending 10 steps, were used as explanators of sarcopenia. Receiver operating curves identified critical values for each explanator individually. Logistic regression models using all 3 explanators, and only PF torque and stair power, were also created. Receiver operating curve analyses identified the predicted probability that maximized each model's sensitivity and specificity. A leave-one-out cross validation was used to simulate the models' performance in an independent sample.
Thirty-two participants were sarcopenic, and 11 were not. Critical values for individual explanators were 21% IMAT, 68 Nm PF torque, and 441 watts of stair power. Predicted probabilities of .76 and .67 were chosen as the optimal cutoff probabilities for the model combining all 3 explanators, and the model combining PF torque and stair power, respectively. The cross-validation analysis produced an accuracy of 82.4%, using the cutoff probability of .5, and an accuracy of 76.5% using the cutoff of 0.76. The area under the curve for the cross validation receiver operating curve analysis was 0.82. Critical values of leg % IMAT, PF torque, and stair power can classify individuals with diabesity as sarcopenic. The results of the cross validation give us confidence that the sample used in this study was representative of the target population, and suggests models created from this sample may perform well in externally derived data sets.
Clinicians may be able to use these critical values to select interventions that specifically target sarcopenia. Measures of % IMAT, PF torque, and stair power may offer a customized alternative to traditional sarcopenic classification systems, which may not be optimally suited to the common impairments among individuals with diabesity.
下肢肌间脂肪组织(IMAT)过多、力量下降以及功能受限在患有和未患糖尿病的肥胖个体中都很常见(前者称为糖尿病肥胖症)。糖尿病肥胖症患者尤其易患加速性肌肉减少症,而这种疾病可能未得到充分诊断。本研究的目的是确定腿部IMAT体积、跖屈(PF)肌力量和身体表现的临界值,以帮助识别患有肌肉减少症的糖尿病肥胖症患者。
对43名年龄和性别匹配的肥胖成年人进行了研究:12名2型糖尿病患者,21名患有糖尿病和周围神经病变的患者,以及10名非糖尿病对照组。通过双能X线吸收法得出的骨骼肌指数来确定肌肉减少症的分类。腿部脂肪(%IMAT)、踝关节(PF)峰值扭矩以及上10级台阶时的功率,被用作肌肉减少症的解释变量。受试者工作曲线分别确定了每个解释变量的临界值。还创建了使用所有3个解释变量以及仅使用PF扭矩和楼梯功率的逻辑回归模型。受试者工作曲线分析确定了使每个模型的敏感性和特异性最大化的预测概率。采用留一法交叉验证来模拟模型在独立样本中的表现。
32名参与者患有肌肉减少症,11名未患。单个解释变量的临界值分别为21%IMAT、68 Nm PF扭矩和441瓦楼梯功率。对于结合所有3个解释变量的模型和结合PF扭矩与楼梯功率的模型,预测概率分别选择0.76和0.67作为最佳截断概率。交叉验证分析使用截断概率0.5时的准确率为82.4%,使用截断值0.76时的准确率为76.5%。交叉验证受试者工作曲线分析的曲线下面积为0.82。腿部%IMAT、PF扭矩和楼梯功率的临界值可将糖尿病肥胖症患者分类为患有肌肉减少症。交叉验证的结果让我们相信本研究中使用的样本代表了目标人群,并表明从该样本创建的模型在外部衍生数据集中可能表现良好。
临床医生或许能够利用这些临界值来选择专门针对肌肉减少症的干预措施。%IMAT、PF扭矩和楼梯功率的测量可能为传统的肌肉减少症分类系统提供一种定制化的替代方法,传统系统可能并不最适合糖尿病肥胖症患者中的常见损伤情况。