Abe T, Dankel S J, Bell Z W, Fujita E, Yaginuma Y, Akamine T, Spitz R W, Wong V, Viana R B, Loenneke J P
Takashi Abe, PhD, 224 Turner Center, University, MS 38677, USA, Phone: +1 (662) 915-5521, Fax: +1 (662) 915-5525, Email:
J Frailty Aging. 2020;9(2):90-93. doi: 10.14283/jfa.2019.34.
Previous studies proposed calf circumference cutoff values for predicting dual-energy X-ray absorptiometry (DXA)-derived low muscle mass. However, DXA-derived appendicular lean mass (aLM) includes non-skeletal muscle components such as the appendicular fat-free component of adipose tissue fat cells (aFFAT). The purpose of this study was to compare the calf circumference method of classification before (Model #1) and after (Model #2) eliminating the influence of FFAT in healthy Japanese adults (50 to 79 years; mean age 70 (SD 7) years). Model 1, and Model 2 for classifying low muscle mass had a sensitivity of 78% and 64%, specificity of 76% and 75%, positive predictive value of 31% and 28%, and negative predictive value of 96% and 93%, respectively. Appendicular fat-free component of adipose tissue has the potential to influence the ability of calf circumference to accurately classify individuals with low muscle mass. Consideration should be made when using this as a screening tool for low muscle mass.
以往的研究提出了用于预测双能X线吸收法（DXA）得出的低肌肉量的小腿围度临界值。然而，DXA得出的四肢瘦体重（aLM）包括非骨骼肌成分，如脂肪组织脂肪细胞的四肢无脂肪成分（aFFAT）。本研究的目的是比较在健康日本成年人（50至79岁；平均年龄70（标准差7）岁）中，消除FFAT影响之前（模型#1）和之后（模型#2）小腿围度分类方法。用于分类低肌肉量的模型1和模型2的灵敏度分别为78%和64%，特异性分别为76%和75%，阳性预测值分别为31%和28%，阴性预测值分别为96%和93%。脂肪组织的四肢无脂肪成分有可能影响小腿围度准确分类低肌肉量个体的能力。在将其用作低肌肉量的筛查工具时应予以考虑。
