Nutritional markers and body composition in hemodialysis patients

Autores
Valtuille, Rodolfo; Casos, Maria Elisa; Fernandez, Elmer Andres; Guinsburg, Adrian; Marelli, Cristian
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The aims of this study were to analyse body composition, to detect the presence of undernutrition, and to establish a relationship between undernutrition and the biological markers routinely used as indicators of nutritional status in hemodialysis (HD) patients (pts). We used a body composition monitor (BCM) that expresses body weight in terms of lean tissue mass (LTM) and fat tissue mass (FTM) independent of hydration status. From nine HD units, 934 pts were included. Undernutrition was defined as having a lean tissue index (LTI = LTM/height2) below the 10th percentile of a reference population. Biochemical markers and parameters delivered by BCM were used to compare low LTI and normal LTI groups. Undernutrition prevalence was 58.8% of the population studied. Low LTI pts were older, were significantly more frequently overhydrated, and had been on HD for a longer period of time than the normal LTI group. FTI (FTI = FTM/ height2) was significantly higher in low LTI pts and increased according to BMI. LTI was not influenced by different BMI levels. Albumin and C-reactive protein correlated inversely (). However neither of them was statistically different when considering undernourished and normal LTI pts. Our BCM study was able to show a high prevalence of undernutrition, as expressed by low LTI. In our study, BMI and other common markers, such as albumin, failed to predict malnutrition as determined by BCM.
Fil: Valtuille, Rodolfo. Fresenius Medical Care; Argentina
Fil: Casos, Maria Elisa. Fresenius Medical Care; Argentina
Fil: Fernandez, Elmer Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Desarrollo en Inmunología y Enfermedades Infecciosas. Universidad Católica de Córdoba. Centro de Investigación y Desarrollo en Inmunología y Enfermedades Infecciosas; Argentina
Fil: Guinsburg, Adrian. FME Burzaco; Argentina
Fil: Marelli, Cristian. FME Burzaco; Argentina
Materia
HEMODIALYSIS
BIOMARKERS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/59867
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Nutritional markers and body composition in hemodialysis patientsValtuille, RodolfoCasos, Maria ElisaFernandez, Elmer AndresGuinsburg, AdrianMarelli, CristianHEMODIALYSISBIOMARKERShttps://purl.org/becyt/ford/3.4https://purl.org/becyt/ford/3The aims of this study were to analyse body composition, to detect the presence of undernutrition, and to establish a relationship between undernutrition and the biological markers routinely used as indicators of nutritional status in hemodialysis (HD) patients (pts). We used a body composition monitor (BCM) that expresses body weight in terms of lean tissue mass (LTM) and fat tissue mass (FTM) independent of hydration status. From nine HD units, 934 pts were included. Undernutrition was defined as having a lean tissue index (LTI = LTM/height2) below the 10th percentile of a reference population. Biochemical markers and parameters delivered by BCM were used to compare low LTI and normal LTI groups. Undernutrition prevalence was 58.8% of the population studied. Low LTI pts were older, were significantly more frequently overhydrated, and had been on HD for a longer period of time than the normal LTI group. FTI (FTI = FTM/ height2) was significantly higher in low LTI pts and increased according to BMI. LTI was not influenced by different BMI levels. Albumin and C-reactive protein correlated inversely (). However neither of them was statistically different when considering undernourished and normal LTI pts. Our BCM study was able to show a high prevalence of undernutrition, as expressed by low LTI. In our study, BMI and other common markers, such as albumin, failed to predict malnutrition as determined by BCM.Fil: Valtuille, Rodolfo. Fresenius Medical Care; ArgentinaFil: Casos, Maria Elisa. Fresenius Medical Care; ArgentinaFil: Fernandez, Elmer Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Desarrollo en Inmunología y Enfermedades Infecciosas. Universidad Católica de Córdoba. Centro de Investigación y Desarrollo en Inmunología y Enfermedades Infecciosas; ArgentinaFil: Guinsburg, Adrian. FME Burzaco; ArgentinaFil: Marelli, Cristian. FME Burzaco; ArgentinaHindawi Publishing Corporation2015-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/59867Valtuille, Rodolfo; Casos, Maria Elisa; Fernandez, Elmer Andres; Guinsburg, Adrian; Marelli, Cristian; Nutritional markers and body composition in hemodialysis patients; Hindawi Publishing Corporation; International Scholarly Research Notices; 2015; 1-2015; 1-8‎2356-7872CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.hindawi.com/archive/2015/695263/info:eu-repo/semantics/altIdentifier/doi/10.1155/2015/695263info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:16:38Zoai:ri.conicet.gov.ar:11336/59867instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:16:39.28CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Nutritional markers and body composition in hemodialysis patients
title Nutritional markers and body composition in hemodialysis patients
spellingShingle Nutritional markers and body composition in hemodialysis patients
Valtuille, Rodolfo
HEMODIALYSIS
BIOMARKERS
title_short Nutritional markers and body composition in hemodialysis patients
title_full Nutritional markers and body composition in hemodialysis patients
title_fullStr Nutritional markers and body composition in hemodialysis patients
title_full_unstemmed Nutritional markers and body composition in hemodialysis patients
title_sort Nutritional markers and body composition in hemodialysis patients
dc.creator.none.fl_str_mv Valtuille, Rodolfo
Casos, Maria Elisa
Fernandez, Elmer Andres
Guinsburg, Adrian
Marelli, Cristian
author Valtuille, Rodolfo
author_facet Valtuille, Rodolfo
Casos, Maria Elisa
Fernandez, Elmer Andres
Guinsburg, Adrian
Marelli, Cristian
author_role author
author2 Casos, Maria Elisa
Fernandez, Elmer Andres
Guinsburg, Adrian
Marelli, Cristian
author2_role author
author
author
author
dc.subject.none.fl_str_mv HEMODIALYSIS
BIOMARKERS
topic HEMODIALYSIS
BIOMARKERS
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.4
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv The aims of this study were to analyse body composition, to detect the presence of undernutrition, and to establish a relationship between undernutrition and the biological markers routinely used as indicators of nutritional status in hemodialysis (HD) patients (pts). We used a body composition monitor (BCM) that expresses body weight in terms of lean tissue mass (LTM) and fat tissue mass (FTM) independent of hydration status. From nine HD units, 934 pts were included. Undernutrition was defined as having a lean tissue index (LTI = LTM/height2) below the 10th percentile of a reference population. Biochemical markers and parameters delivered by BCM were used to compare low LTI and normal LTI groups. Undernutrition prevalence was 58.8% of the population studied. Low LTI pts were older, were significantly more frequently overhydrated, and had been on HD for a longer period of time than the normal LTI group. FTI (FTI = FTM/ height2) was significantly higher in low LTI pts and increased according to BMI. LTI was not influenced by different BMI levels. Albumin and C-reactive protein correlated inversely (). However neither of them was statistically different when considering undernourished and normal LTI pts. Our BCM study was able to show a high prevalence of undernutrition, as expressed by low LTI. In our study, BMI and other common markers, such as albumin, failed to predict malnutrition as determined by BCM.
Fil: Valtuille, Rodolfo. Fresenius Medical Care; Argentina
Fil: Casos, Maria Elisa. Fresenius Medical Care; Argentina
Fil: Fernandez, Elmer Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Desarrollo en Inmunología y Enfermedades Infecciosas. Universidad Católica de Córdoba. Centro de Investigación y Desarrollo en Inmunología y Enfermedades Infecciosas; Argentina
Fil: Guinsburg, Adrian. FME Burzaco; Argentina
Fil: Marelli, Cristian. FME Burzaco; Argentina
description The aims of this study were to analyse body composition, to detect the presence of undernutrition, and to establish a relationship between undernutrition and the biological markers routinely used as indicators of nutritional status in hemodialysis (HD) patients (pts). We used a body composition monitor (BCM) that expresses body weight in terms of lean tissue mass (LTM) and fat tissue mass (FTM) independent of hydration status. From nine HD units, 934 pts were included. Undernutrition was defined as having a lean tissue index (LTI = LTM/height2) below the 10th percentile of a reference population. Biochemical markers and parameters delivered by BCM were used to compare low LTI and normal LTI groups. Undernutrition prevalence was 58.8% of the population studied. Low LTI pts were older, were significantly more frequently overhydrated, and had been on HD for a longer period of time than the normal LTI group. FTI (FTI = FTM/ height2) was significantly higher in low LTI pts and increased according to BMI. LTI was not influenced by different BMI levels. Albumin and C-reactive protein correlated inversely (). However neither of them was statistically different when considering undernourished and normal LTI pts. Our BCM study was able to show a high prevalence of undernutrition, as expressed by low LTI. In our study, BMI and other common markers, such as albumin, failed to predict malnutrition as determined by BCM.
publishDate 2015
dc.date.none.fl_str_mv 2015-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/59867
Valtuille, Rodolfo; Casos, Maria Elisa; Fernandez, Elmer Andres; Guinsburg, Adrian; Marelli, Cristian; Nutritional markers and body composition in hemodialysis patients; Hindawi Publishing Corporation; International Scholarly Research Notices; 2015; 1-2015; 1-8
‎2356-7872
CONICET Digital
CONICET
url http://hdl.handle.net/11336/59867
identifier_str_mv Valtuille, Rodolfo; Casos, Maria Elisa; Fernandez, Elmer Andres; Guinsburg, Adrian; Marelli, Cristian; Nutritional markers and body composition in hemodialysis patients; Hindawi Publishing Corporation; International Scholarly Research Notices; 2015; 1-2015; 1-8
‎2356-7872
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.hindawi.com/archive/2015/695263/
info:eu-repo/semantics/altIdentifier/doi/10.1155/2015/695263
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Hindawi Publishing Corporation
publisher.none.fl_str_mv Hindawi Publishing Corporation
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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