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  • 标题:Classification of Hydration in Clinical Conditions: Indirect and Direct Approaches Using Bioimpedance
  • 本地全文:下载
  • 作者:Henry C. Lukaski ; Nicanor Vega Diaz ; Antonio Talluri
  • 期刊名称:Nutrients
  • 电子版ISSN:2072-6643
  • 出版年度:2019
  • 卷号:11
  • 期号:4
  • 页码:809-830
  • DOI:10.3390/nu11040809
  • 出版社:MDPI Publishing
  • 摘要:Although the need to assess hydration is well recognized, laboratory tests and clinical impressions are impractical and lack sensitivity, respectively, to be clinically meaningful. Different approaches use bioelectrical impedance measurements to overcome some of these limitations and aid in the classification of hydration status. One indirect approach utilizes single or multiple frequency bioimpedance in regression equations and theoretical models, respectively, with anthropometric measurements to predict fluid volumes (bioelectrical impedance spectroscopy—BIS) and estimate fluid overload based on the deviation of calculated to reference extracellular fluid volume. Alternatively, bioimpedance vector analysis (BIVA) uses direct phase-sensitive measurements of resistance and reactance, measured at 50 kHz, normalized for standing height, then plotted on a bivariate graph, resulting in a vector with length related to fluid content, and direction with phase angle that indexes hydration status. Comparison with healthy population norms enables BIVA to classify (normal, under-, and over-) and rank (change relative to pre-treatment) hydration independent of body weight. Each approach has wide-ranging uses in evaluation and management of clinical groups with over-hydration with an evolving emphasis on prognosis. This review discusses the advantages and limitations of BIS and BIVA for hydration assessment with comments on future applications.
  • 关键词:fluid overload; resistance; reactance; bioelectrical impedance vector analysis; bioelectrical impedance spectroscopy; malnutrition fluid overload ; resistance ; reactance ; bioelectrical impedance vector analysis ; bioelectrical impedance spectroscopy ; malnutrition
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