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生物电阻抗分析(BIA)临床应用的要求。

Requirements for clinical use of bioelectrical impedance analysis (BIA).

作者信息

Lukaski H C

机构信息

United States Department of Agriculture, Agricultural Research Service, Grand Forks Human Nutrition Research Center, North Dakota 58202-9034, USA.

出版信息

Ann N Y Acad Sci. 1999 Apr 20;873:72-6. doi: 10.1111/j.1749-6632.1999.tb09451.x.

DOI:10.1111/j.1749-6632.1999.tb09451.x
PMID:10372152
Abstract

The bioelectrical impedance analysis (BIA) method is an attractive tool for use in the clinical assessment of human body composition. Factors such as ease of use, relatively low cost, noninvasive nature, high degree of reproducibility, and safety of operation provide an impetus for the general application of this method. The preponderance of the published applications of BIA focused on applications in healthy populations and indicated a qualitative validity of the method. More recent applications have augmented the quantitative values of the BIA approach and have reported very good specificity and sensitivity. One potential limitation of the BIA approach is the reliance on regression models, derived in restricted samples of human subjects, which restricts the usefulness of the derived model in other patients who differ from the original sample in which the model was developed. Other investigational approaches that use different physical models (bioelectrical impedance spectroscopy and parallel model) have yielded successful and useful measures of human body composition in clinical studies. If BIA is to gain acceptance in clinical diagnosis and evaluation of therapeutic interventions, further efforts will be needed to ascertain more fully the validity, sensitivity, and specificity of biological parameters estimated with the new BIA approaches, and to establish the prognostic values of the BIA estimates of body composition.

摘要

生物电阻抗分析(BIA)方法是用于人体成分临床评估的一种有吸引力的工具。诸如使用方便、成本相对较低、无创性、高重现性以及操作安全性等因素推动了该方法的广泛应用。已发表的BIA应用大多集中在健康人群,表明该方法具有定性有效性。最近的应用增加了BIA方法的定量价值,并报告了非常好的特异性和敏感性。BIA方法的一个潜在局限性是依赖在有限的人体受试者样本中推导出来的回归模型,这限制了所推导模型在与开发该模型的原始样本不同的其他患者中的实用性。其他使用不同物理模型(生物电阻抗光谱法和平行模型)的研究方法在临床研究中已成功获得了有用的人体成分测量结果。如果BIA要在临床诊断和治疗干预评估中获得认可,还需要进一步努力,以更全面地确定用新BIA方法估计的生物学参数的有效性、敏感性和特异性,并确定BIA人体成分估计值的预后价值。

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