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多频站立位和仰卧位生物电阻抗法预测韩国老年人四肢骨骼肌质量的方程。

Prediction Equations of the Multifrequency Standing and Supine Bioimpedance for Appendicular Skeletal Muscle Mass in Korean Older People.

机构信息

Department of Health and Human Performance, Northwestern State University, Natchitoches, LA 71497, USA.

Department of Food Science & Nutrition, Soonchunhyang University, Asan 31438, Korea.

出版信息

Int J Environ Res Public Health. 2020 Aug 12;17(16):5847. doi: 10.3390/ijerph17165847.

DOI:10.3390/ijerph17165847
PMID:32806737
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7459522/
Abstract

Bioimpedance analysis (BIA) has been demanded for the assessment of appendicular skeletal muscle mass (ASM) in clinical and epidemiological settings. This study aimed to validate BIA equations for predicting ASM in the standing and supine positions; externally to cross-validate the new and published and built-in BIA equations for group and individual predictive accuracy; and to assess the overall agreement between the measured and predicted ASM index as sarcopenia diagnosis. In total, 199 healthy older adults completed the measurements of multifrequency BIA (InBody770 and InBodyS10) and dual-energy X-ray absorptiometry (DXA). Multiple regression analysis was used to validate the new multifrequency bioelectrical impedance analysis (MF-BIA) prediction equations. Each MF-BIA equation in the standing and supine position developed in the entire group included height/resistance, sex, and reactance as predictors ( = 92.7% and 92.8%, SEE = 1.02 kg and 1.01 kg ASM for the standing and supine MF-BIA). The new MF-BIA equations had a specificity positive predictive value and negative predictive value of 85% or more except for a sensitivity of about 60.0%. The new standing and supine MF-BIA prediction equation are useful for epidemiological and field settings as well as a clinical diagnosis of sarcopenia. Future research is needed to improve the sensitivity of diagnosis of sarcopenia using MF-BIA.

摘要

生物阻抗分析(BIA)已在临床和流行病学环境中用于评估四肢骨骼肌量(ASM)。本研究旨在验证 BIA 方程在站立和仰卧位预测 ASM 的能力;外部交叉验证新的和已发表的内置 BIA 方程在组和个体预测准确性方面的表现;评估测量和预测 ASM 指数之间的总体一致性作为肌少症诊断。共有 199 名健康老年人完成了多频 BIA(InBody770 和 InBodyS10)和双能 X 射线吸收法(DXA)的测量。多元回归分析用于验证新的多频生物电阻抗分析(MF-BIA)预测方程。整个组中开发的站立和仰卧位的每个 MF-BIA 方程都包含身高/电阻、性别和电抗作为预测因子(站立和仰卧 MF-BIA 的 =92.7%和 92.8%,SEE=1.02kg 和 1.01kg ASM)。新的 MF-BIA 方程具有 85%或更高的特异性阳性预测值和阴性预测值,但敏感性约为 60.0%。新的站立和仰卧 MF-BIA 预测方程可用于流行病学和现场设置以及肌少症的临床诊断。未来需要使用 MF-BIA 来提高肌少症诊断的敏感性的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/522d/7459522/d55872af095e/ijerph-17-05847-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/522d/7459522/aa66d190c321/ijerph-17-05847-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/522d/7459522/65320292b938/ijerph-17-05847-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/522d/7459522/d55872af095e/ijerph-17-05847-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/522d/7459522/aa66d190c321/ijerph-17-05847-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/522d/7459522/65320292b938/ijerph-17-05847-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/522d/7459522/d55872af095e/ijerph-17-05847-g003a.jpg

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