生物阻抗光谱法测定大鼠体内身体成分的精度和准确性。

Dl Smith, Ms Johnson, Tr Nagy
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引用次数: 0

摘要

目的:在过去 30 年中,水合和身体成分的生物电阻抗分析 (BIA) 取得了重大进展。随着生物阻抗光谱(BIS)的发展,生物阻抗已扩展到可靠地预测细胞外液(ECF)和体内总水分(TBW),从而可以计算出无脂质量(FFM)和脂肪质量(FM)。在本研究中,我们评估了专为测量动物身体成分而设计的新型 BIS 设备(ImpediVet™)在测量大鼠 TBW、FFM 和 FM 时的精确度和准确性。方法:在一项验证研究中,使用 BIS 和化学胴体分析 (CCA) 测量了 25 只大鼠的身体成分(TBW、FFM 和 FM)。BIS 精确度通过使用多个 BIS 读数的变异系数来评估,而 BIS 准确度则通过对每个身体分区的 BIS 值和 CCA 值进行回归分析来评估。在交叉验证研究中,将验证组生成的TBW、FFM和FM预测方程应用于通过BIS和CCA测量的25只独立大鼠。使用线性回归分析和配对 t 检验来评估组内关系和测量差异的显著性。结果:在验证研究中,BIS 与 CCA 的 TBW(r(2)=0.988)、FFM(r(2)=0.987)和 FM(r(2)=0.966)高度相关。尽管如此,BIS 还是明显低估了总体重(平均值:-31.07 g,-13.07 g):-31.07克,-13.3%,p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Precision and accuracy of bioimpedance spectroscopy for determination of in vivo body composition in rats.

OBJECTIVE: Bioelectrical impedance analysis (BIA) of hydration and body composition has made significant progress during the past 3 decades. With the development of Bioimpedance spectroscopy (BIS), bioimpedance has been expanded to reliably predict extracellular fluid (ECF) and total body water (TBW), allowing the calculation of fat-free mass (FFM) and fat mass (FM). In this study, a new BIS device (ImpediVet™), designed for body composition measurements in animals, was assessed for precision and accuracy in measuring TBW, FFM and FM in rats. METHODS: In a validation study, 25 rats were measured for body composition (TBW, FFM and FM) using BIS and chemical carcass analysis (CCA). BIS precision was assessed by the coefficient of variation using multiple BIS readings, while BIS accuracy was assessed by regression analysis of BIS and CCA values for each body compartment. In a cross-validation study, prediction equations generated from the validation group for TBW, FFM and FM were applied to an independent cohort of 25 rats that were measured by BIS and CCA. Linear regression analysis and paired t-tests were used to assess significance of relationships and measurement differences within groups. RESULTS: In the validation study, BIS was highly correlated with CCA for TBW (r(2)=0.988), FFM (r(2)=0.987) and FM (r(2)=0.966). Even so, BIS significantly underestimated TBW (mean: -31.07 g, -13.3%, p<0.001) and FFM (-50.69 g, -15.5%, p<0.001), while overestimating FM (+65.75 g, +63.5%, p<0.001). In the independent, cross-validation group of rats the prediction equations accurately predicted carcass values for TBW (-0.2%, p=0.350), FFM (-0.2%, p=0.457) and FM (+1.5%, p=0.508). CONCLUSION: Based on these results, BIS provided a precise and accurate means to determine in vivo body composition in rats.

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