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Nutritional Markers and Body Composition in Hemodialysis Patients

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 moni...

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Autores principales: Valtuille, Rodolfo, Casos, Maria Elisa, Fernandez, Elmer Andres, Guinsburg, Adrian, Marelli, Cristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4897264/
https://www.ncbi.nlm.nih.gov/pubmed/27347538
http://dx.doi.org/10.1155/2015/695263
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author Valtuille, Rodolfo
Casos, Maria Elisa
Fernandez, Elmer Andres
Guinsburg, Adrian
Marelli, Cristina
author_facet Valtuille, Rodolfo
Casos, Maria Elisa
Fernandez, Elmer Andres
Guinsburg, Adrian
Marelli, Cristina
author_sort Valtuille, Rodolfo
collection PubMed
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/height(2)) 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/ height(2)) 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 (r = −0.28). 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.
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spelling pubmed-48972642016-06-26 Nutritional Markers and Body Composition in Hemodialysis Patients Valtuille, Rodolfo Casos, Maria Elisa Fernandez, Elmer Andres Guinsburg, Adrian Marelli, Cristina Int Sch Res Notices Research Article 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/height(2)) 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/ height(2)) 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 (r = −0.28). 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. Hindawi Publishing Corporation 2015-01-11 /pmc/articles/PMC4897264/ /pubmed/27347538 http://dx.doi.org/10.1155/2015/695263 Text en Copyright © 2015 Rodolfo Valtuille et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Valtuille, Rodolfo
Casos, Maria Elisa
Fernandez, Elmer Andres
Guinsburg, Adrian
Marelli, Cristina
Nutritional Markers and Body Composition in Hemodialysis Patients
title 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_short Nutritional Markers and Body Composition in Hemodialysis Patients
title_sort nutritional markers and body composition in hemodialysis patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4897264/
https://www.ncbi.nlm.nih.gov/pubmed/27347538
http://dx.doi.org/10.1155/2015/695263
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