Department of Nutritional Sciences, University of Wisconsin-Madison, Nutritional Sciences Building, 1415 Linden Drive Suite 266, Madison, WI, 53706, USA.
Section of Healthy Longevity Researches, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan.
Arch Osteoporos. 2018 Sep 14;13(1):97. doi: 10.1007/s11657-018-0508-7.
Fluid volume estimates may help predict functional status and thereby improve sarcopenia diagnosis.
Bioimpedance-derived fluid volume, combined with DXA, improves identification of jump power over traditional measures.
DXA-measured lean mass should be corrected for fluid distribution in older populations; this may be a surrogate of muscle quality.
Sarcopenia, the age-related loss of muscle mass and function, negatively impacts functional status, quality of life, and mortality. We aimed to determine if bioimpedance spectroscopy (BIS)-derived estimates of body water compartments can be used in conjunction with dual-energy X-ray absorptiometry (DXA) measures to aid in the prediction of functional status and thereby, ultimately, improve the diagnosis of sarcopenia.
Participants (≥ 70 years) had physical and muscle function tests, DXA, and BIS performed. Using a BMI correction method, intracellular water (ICW), extracellular water (ECW), and ECW to ICW (E/I) ratio was estimated from standard BIS measures. Jump power was assessed using jump mechanography.
The traditional measure used to diagnose sarcopenia, DXA-derived appendicular lean mass (ALM) corrected for height (ALM/ht), was the least predictive measure explaining jump power variability (r = 0.31, p < 0.0001). The best measure for explaining jump power was a novel variable combining DXA ALM and BIS-derived E/I ratio (ALM/(E/I); r = 0.70, p < 0.0001). ALM/(E/I) and ICW had the highest correlation with jump power and grip strength, specifically jump power (r = 0.84 and r = 0.80, respectively; p < 0.0001).
The creation of a novel variable (ALM/(E/I)) improved the ability of DXA to predict jump power in an older population. ALM/(E/I) substantially outperformed traditional lean mass measures of sarcopenia and could well be an improved diagnostic approach to predict functional status. DXA-measured ALM should be corrected for fluid distribution, i.e., ALM/(E/I); this correction may be considered a surrogate of muscle quality.
液体量估计可能有助于预测功能状态,从而改善肌少症的诊断。
生物阻抗衍生的液体量与 DXA 结合使用,可以提高对跳跃力的识别能力,超过传统测量方法。
在老年人中,DXA 测量的瘦体重应校正液体分布;这可能是肌肉质量的替代指标。
肌少症是一种与年龄相关的肌肉质量和功能丧失,会对功能状态、生活质量和死亡率产生负面影响。我们旨在确定生物阻抗光谱(BIS)衍生的身体水分含量估计值是否可以与双能 X 射线吸收法(DXA)测量值结合使用,以帮助预测功能状态,从而最终改善肌少症的诊断。
对参与者(≥70 岁)进行了身体和肌肉功能测试、DXA 和 BIS 检查。使用 BMI 校正方法,从标准 BIS 测量中估计细胞内液(ICW)、细胞外液(ECW)和 ECW 与 ICW(E/I)的比值。跳跃力通过跳跃力学进行评估。
传统用于诊断肌少症的指标是 DXA 衍生的四肢瘦体重(ALM)除以身高(ALM/ht),是解释跳跃力变异性的预测性最低的指标(r=0.31,p<0.0001)。最能解释跳跃力的指标是一个新的变量,它结合了 DXA 的 ALM 和 BIS 衍生的 E/I 比值(ALM/(E/I);r=0.70,p<0.0001)。ALM/(E/I)和 ICW 与跳跃力和握力的相关性最高,特别是跳跃力(r=0.84 和 r=0.80,分别;p<0.0001)。
创建一个新的变量(ALM/(E/I))提高了 DXA 在老年人群中预测跳跃力的能力。ALM/(E/I)大大优于传统的肌少症瘦体重指标,并且很可能是一种改善预测功能状态的诊断方法。DXA 测量的 ALM 应校正液体分布,即 ALM/(E/I);这种校正可以被认为是肌肉质量的替代指标。