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

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 clas...

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Autores: Lukaski HC, Vega Diaz N, Talluri A, Nescolarde L
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Recursos:Fundació Sant Joan de Déu
Repositorio:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
OAI Identifier:oai:fsjd.fundanetsuite.com:p24422
Acesso em linha:https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=24422
Access Level:acceso abierto
Palavra-chave:bioelectrical impedance spectroscopy
bioelectrical impedance vector analysis
fluid overload
malnutrition
reactance
resistance
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spelling Classification of Hydration in Clinical Conditions: Indirect and Direct Approaches Using Bioimpedance.Lukaski HCVega Diaz NTalluri ANescolarde Lbioelectrical impedance spectroscopybioelectrical impedance vector analysisfluid overloadmalnutritionreactanceresistanceAlthough 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.MDPI2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=24422NutrientsISSN: 20726643reponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déuinstname:Fundació Sant Joan de DéuInglésinfo:eu-repo/semantics/openAccessoai:fsjd.fundanetsuite.com:p244222026-05-27T12:37:41Z
dc.title.none.fl_str_mv Classification of Hydration in Clinical Conditions: Indirect and Direct Approaches Using Bioimpedance.
title Classification of Hydration in Clinical Conditions: Indirect and Direct Approaches Using Bioimpedance.
spellingShingle Classification of Hydration in Clinical Conditions: Indirect and Direct Approaches Using Bioimpedance.
Lukaski HC
bioelectrical impedance spectroscopy
bioelectrical impedance vector analysis
fluid overload
malnutrition
reactance
resistance
title_short Classification of Hydration in Clinical Conditions: Indirect and Direct Approaches Using Bioimpedance.
title_full Classification of Hydration in Clinical Conditions: Indirect and Direct Approaches Using Bioimpedance.
title_fullStr Classification of Hydration in Clinical Conditions: Indirect and Direct Approaches Using Bioimpedance.
title_full_unstemmed Classification of Hydration in Clinical Conditions: Indirect and Direct Approaches Using Bioimpedance.
title_sort Classification of Hydration in Clinical Conditions: Indirect and Direct Approaches Using Bioimpedance.
dc.creator.none.fl_str_mv Lukaski HC
Vega Diaz N
Talluri A
Nescolarde L
author Lukaski HC
author_facet Lukaski HC
Vega Diaz N
Talluri A
Nescolarde L
author_role author
author2 Vega Diaz N
Talluri A
Nescolarde L
author2_role author
author
author
dc.subject.none.fl_str_mv bioelectrical impedance spectroscopy
bioelectrical impedance vector analysis
fluid overload
malnutrition
reactance
resistance
topic bioelectrical impedance spectroscopy
bioelectrical impedance vector analysis
fluid overload
malnutrition
reactance
resistance
description 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.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=24422
url https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=24422
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Nutrients
ISSN: 20726643
reponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
instname:Fundació Sant Joan de Déu
instname_str Fundació Sant Joan de Déu
reponame_str r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
collection r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
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repository.mail.fl_str_mv
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