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Handgrip strength as an instrument for assessing the risk of malnutrition and inflammation in hemodialysis patients
INDRODUCTION: Establishing which parameters to use for diagnosing malnutrition in hemodialysis patients is a challenge in clinical practice. The handgrip strength (HGS) has stood out as a method of assessing nutritional status. Thus, the aim of this study was to determine the cut-off point for HGS i...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Nefrologia
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860643/ https://www.ncbi.nlm.nih.gov/pubmed/32672327 http://dx.doi.org/10.1590/2175-8239-JBN-2019-0177 |
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author | Sostisso, Caroline Finger Olikszechen, Mayara Sato, Melissa Nihi Oliveira, Miriam de Aguiar Souza Cruz Karam, Scheila |
author_facet | Sostisso, Caroline Finger Olikszechen, Mayara Sato, Melissa Nihi Oliveira, Miriam de Aguiar Souza Cruz Karam, Scheila |
author_sort | Sostisso, Caroline Finger |
collection | PubMed |
description | INDRODUCTION: Establishing which parameters to use for diagnosing malnutrition in hemodialysis patients is a challenge in clinical practice. The handgrip strength (HGS) has stood out as a method of assessing nutritional status. Thus, the aim of this study was to determine the cut-off point for HGS in the assessment of the risk of malnutrition and inflammation in HD patients, and its association with other parameters. METHODS: Study carried out in hemodialysis units in the city of Curitiba, Brazil. We obtained the cut-off point of the HGS through the ROC curve, using the malnutrition and inflammation score (MIS) as a reference. We checked the relationship (Odds ratio) between the variables “MIS” and “HGS” with the other study variables using the multivariate analysis (logistic regression). RESULTS: We assessed 238 patients (132 men), between 18 and 87 years of age (median = 59). The HGS cut-off point for diagnosing malnutrition and inflammation according to the reference used was <14.5 kg for women, and <23.5 kg for men. According to the HGS criteria, malnourished patients were older (OR = 0.958), with lower arm circumference (OR = 1.328) and higher scores in the malnutrition and inflammation score (OR = 0.85). CONCLUSION: HGS was significantly correlated with other nutritional assessment parameters. These results suggest that HGS is a valid screening tool to identify the risk of malnutrition and inflammation in hemodialysis patients. |
format | Online Article Text |
id | pubmed-7860643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Sociedade Brasileira de Nefrologia |
record_format | MEDLINE/PubMed |
spelling | pubmed-78606432021-02-16 Handgrip strength as an instrument for assessing the risk of malnutrition and inflammation in hemodialysis patients Sostisso, Caroline Finger Olikszechen, Mayara Sato, Melissa Nihi Oliveira, Miriam de Aguiar Souza Cruz Karam, Scheila J Bras Nefrol Original Article INDRODUCTION: Establishing which parameters to use for diagnosing malnutrition in hemodialysis patients is a challenge in clinical practice. The handgrip strength (HGS) has stood out as a method of assessing nutritional status. Thus, the aim of this study was to determine the cut-off point for HGS in the assessment of the risk of malnutrition and inflammation in HD patients, and its association with other parameters. METHODS: Study carried out in hemodialysis units in the city of Curitiba, Brazil. We obtained the cut-off point of the HGS through the ROC curve, using the malnutrition and inflammation score (MIS) as a reference. We checked the relationship (Odds ratio) between the variables “MIS” and “HGS” with the other study variables using the multivariate analysis (logistic regression). RESULTS: We assessed 238 patients (132 men), between 18 and 87 years of age (median = 59). The HGS cut-off point for diagnosing malnutrition and inflammation according to the reference used was <14.5 kg for women, and <23.5 kg for men. According to the HGS criteria, malnourished patients were older (OR = 0.958), with lower arm circumference (OR = 1.328) and higher scores in the malnutrition and inflammation score (OR = 0.85). CONCLUSION: HGS was significantly correlated with other nutritional assessment parameters. These results suggest that HGS is a valid screening tool to identify the risk of malnutrition and inflammation in hemodialysis patients. Sociedade Brasileira de Nefrologia 2020-07-15 2020 /pmc/articles/PMC7860643/ /pubmed/32672327 http://dx.doi.org/10.1590/2175-8239-JBN-2019-0177 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Sostisso, Caroline Finger Olikszechen, Mayara Sato, Melissa Nihi Oliveira, Miriam de Aguiar Souza Cruz Karam, Scheila Handgrip strength as an instrument for assessing the risk of malnutrition and inflammation in hemodialysis patients |
title | Handgrip strength as an instrument for assessing the risk of malnutrition and inflammation in hemodialysis patients |
title_full | Handgrip strength as an instrument for assessing the risk of malnutrition and inflammation in hemodialysis patients |
title_fullStr | Handgrip strength as an instrument for assessing the risk of malnutrition and inflammation in hemodialysis patients |
title_full_unstemmed | Handgrip strength as an instrument for assessing the risk of malnutrition and inflammation in hemodialysis patients |
title_short | Handgrip strength as an instrument for assessing the risk of malnutrition and inflammation in hemodialysis patients |
title_sort | handgrip strength as an instrument for assessing the risk of malnutrition and inflammation in hemodialysis patients |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860643/ https://www.ncbi.nlm.nih.gov/pubmed/32672327 http://dx.doi.org/10.1590/2175-8239-JBN-2019-0177 |
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