Classification of Hydration in Clinical Conditions: Indirect and Direct Approaches Using Bioimpedance.


Por: Lukaski HC, Vega Diaz N, Talluri A and Nescolarde L

Publicada: 10 abr 2019 Ahead of Print: 10 abr 2019
Resumen:
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.

Filiaciones:
Lukaski HC:
 Department of Kinesiology and Public Health Education, University of North Dakota, Grand Forks, ND 58202-7166, USA.

Vega Diaz N:
 Nephrology Service, University Hospital of Grand Canary and Faculty of Science, University Los Palmas, 35019 Los Palmas, Grand Canary, Spain.

Talluri A:
 Antonio Talluri, Fatbyte, Inc., 50012 Bagno a Ripoli, Florence, Italy.

Nescolarde L:
 Department of Electronic Engineering, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain.
ISSN: 20726643





Nutrients
Editorial
MDPI, MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND, Suiza
Tipo de documento: Article
Volumen: 11 Número: 4
Páginas:
WOS Id: 000467749800102
ID de PubMed: 30974817
imagen Open Access

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