Requirements for clinical use of bioelectrical impedance analysis (BIA)

Requirements for clinical use of bioelectrical impedance analysis (BIA)
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DOI:
10.1111/j.1749-6632.1999.tb09451.x
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发表时间:
1999-01-01
期刊:
ELECTRICAL BIOIMPEDANCE METHODS: APPLICATIONS TO MEDICINE AND BIOTECHNOLOGY
影响因子:
--
通讯作者:
Lukaski, HC
Lukaski, HC
中科院分区:
其他
文献类型:
--
作者:
Lukaski, HC

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生物阻抗分析(BIA)方法是一种有吸引力的工具,用于临床评估人体成分。使用方便、成本相对较低、无创性、可重复性高、操作安全等因素为该方法的普遍应用提供了动力。已发表的BIA应用的优势集中在健康人群的应用上,表明该方法在定性上是有效的。最近的应用增加了BIA方法的定量价值,并报道了非常好的特异性和敏感性。BIA方法的一个潜在限制是依赖于在有限的人类受试者样本中导出的回归模型,这限制了导出模型在与模型开发的原始样本不同的其他患者中的有用性。其他使用不同物理模型(生物电阻抗谱和平行模型)的研究方法已经在临床研究中产生了成功和有用的人体成分测量方法。如果BIA要在临床诊断和治疗干预的评估中获得认可,还需要进一步的努力来更充分地确定用新的BIA方法估计的生物学参数的有效性、敏感性和特异性,并建立BIA对身体成分估计的预后价值。
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 hale 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 in 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.