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全身骨骼肌质量:采用一种新的双能X线吸收法进行评估

Total-body skeletal muscle mass: estimation by a new dual-energy X-ray absorptiometry method.

作者信息

Kim Jaehee, Wang ZiMian, Heymsfield Steven B, Baumgartner Richard N, Gallagher Dympna

机构信息

Obesity Research Center, St Luke's-Roosevelt Hospital and the Institute of Human Nutrition, Columbia University, College of Physicians and Surgeons, New York, NY 10025, USA.

出版信息

Am J Clin Nutr. 2002 Aug;76(2):378-83. doi: 10.1093/ajcn/76.2.378.

Abstract

BACKGROUND

Skeletal muscle (SM) is an important body-composition component that remains difficult and impractical to quantify by most investigators outside of specialized research centers. A large proportion of total-body SM is found in the extremities, and a large proportion of extremity lean soft tissue is SM. A strong link should thus exist between appendicular lean soft tissue (ALST) mass and total-body SM mass.

OBJECTIVE

The objective was to develop prediction models linking ALST estimated by dual-energy X-ray absorptiometry (DXA) with total-body SM quantified by multislice magnetic resonance imaging in healthy adults.

DESIGN

ALST and total-body SM were evaluated with a cross-sectional design in adults [body mass index (in kg/m(2)) < 35] with an SM-prediction model developed and validated in model-development and model-validation groups, respectively. The model-development and model-validation groups included 321 and 93 ethnically diverse adults, respectively.

RESULTS

ALST alone was highly correlated with total-body SM (model 1: R(2) = 0.96, SEE = 1.63 kg, P < 0.001), although multiple regression analyses showed 2 additional predictor variables: age (model 2: 2-variable combined R(2) = 0.96, SEE = 1.58 kg, P < 0.001) and sex (model 3: 3-variable combined R(2) = 0.96, SEE = 1.58 kg, P < 0.001). All 3 models performed well in the validation group. An SM-prediction model based on the SM-ALST ratio was also developed, although this model had limitations when it was applied across all subjects.

CONCLUSION

Total-body SM can be accurately predicted from DXA-estimated ALST, thus affording a practical means of quantifying the large and clinically important SM compartment.

摘要

背景

骨骼肌(SM)是身体组成的重要部分,但对于大多数非专业研究中心的研究人员来说,对其进行量化仍然困难且不切实际。全身大部分的SM位于四肢,而四肢的瘦软组织大部分是SM。因此,上肢瘦软组织(ALST)质量与全身SM质量之间应该存在紧密联系。

目的

目的是建立预测模型,将通过双能X线吸收法(DXA)估计的ALST与健康成年人通过多层磁共振成像量化的全身SM联系起来。

设计

采用横断面设计对成年人[体重指数(kg/m²)<35]的ALST和全身SM进行评估,分别在模型开发组和模型验证组中开发并验证SM预测模型。模型开发组和模型验证组分别包括321名和93名不同种族的成年人。

结果

单独的ALST与全身SM高度相关(模型1:R² = 0.96,标准误 = 1.63 kg,P < 0.001),尽管多元回归分析显示还有另外两个预测变量:年龄(模型2:两变量组合R² = 0.96,标准误 = 1.58 kg,P < 0.001)和性别(模型3:三变量组合R² = 0.96,标准误 = 1.58 kg,P < 0.001)。所有三个模型在验证组中表现良好。还开发了基于SM-ALST比值的SM预测模型,尽管该模型在应用于所有受试者时存在局限性。

结论

可以从DXA估计的ALST准确预测全身SM,从而提供了一种量化庞大且具有临床重要性的SM成分的实用方法。

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