Dos Reis Aline S, Santos Heitor O, Limirio Larissa S, de Oliveira Erick P
School of Medicine, Federal University of Uberlandia (UFU), Uberlandia, Minas Gerais, Brazil.
School of Medicine, Federal University of Uberlandia (UFU), Uberlandia, Minas Gerais, Brazil.
Clin Nutr ESPEN. 2018 Dec;28:110-113. doi: 10.1016/j.clnesp.2018.08.021. Epub 2018 Sep 21.
The use of adductor pollicis muscle thickness (APMT) as a predictor of muscle and lean mass is not fully understood and little is known whether the APMT evaluation presents advantages when compared to simpler anthropometric measurements, such as body weight. We aimed to associate APMT, alone and plus body weight, with muscle mass and lean mass in kidney transplantation patients.
A cross-sectional study was carried out with 129 kidney transplantation patients of both sexes that presented a high time of kidney transplant (95.6 ± 78.3 months). Body weight and height were performed and APMT was measured using a caliper. Lean mass and muscle mass were estimated by bioelectrical impedance.
After linear regression analysis, APMT explained the variances of muscle mass and lean mass by 20% (R = 0.208; β = 0.456; p < 0.001) and by 26% (R = 0.264; β = 0.514; p < 0.001), respectively. Body weight predicted muscle mass by 21% (R = 0.216; β = 0.465; p < 0.001) and lean mass by 68% (R = 0.684; β = 0.828; p < 0.001). Analyzing weight plus APMT, the prediction of muscle mass and lean mass increased by 8% (R = 0.29; β = 0.325; p < 0.001) and by 3% (R = 0.71; β = 0.749; p < 0.001), respectively; when compared to weight alone.
Compared with body weight, APMT presented a similar association with muscle mass, but showed a lower prediction of lean mass. In this way, the evaluation of body weight, instead of APMT, seems to have a better cost-benefit to predict both muscle mass and lean mass in kidney transplantation patients.
使用拇收肌厚度(APMT)作为肌肉量和去脂体重的预测指标尚未得到充分理解,与体重等更简单的人体测量指标相比,APMT评估是否具有优势也鲜为人知。我们旨在研究单独的APMT以及APMT加上体重与肾移植患者的肌肉量和去脂体重之间的关系。
对129例肾移植时间较长(95.6±78.3个月)的男女肾移植患者进行了一项横断面研究。测量了体重和身高,并使用卡尺测量了APMT。通过生物电阻抗法估算去脂体重和肌肉量。
线性回归分析后,APMT分别解释了肌肉量和去脂体重方差的20%(R = 0.208;β = 0.456;p < 0.001)和26%(R = 0.264;β = 0.514;p < 0.001)。体重分别预测了21%的肌肉量(R = 0.216;β = 0.465;p < 0.001)和68%的去脂体重(R = 0.684;β = 0.828;p < 0.001)。分析体重加APMT时,与单独体重相比,肌肉量和去脂体重的预测分别增加了8%(R = 0.29;β = 0.325;p < 0.001)和3%(R = 0.71;β = 0.749;p < 0.001)。
与体重相比,APMT与肌肉量的关联相似,但对去脂体重的预测较低。因此,在预测肾移植患者的肌肉量和去脂体重方面,评估体重而非APMT似乎具有更好的成本效益。