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Comparison of the Nutritional Status Assessment Methods for Hemodialysis Patients

Protein-energy wasting (PEW) is prevalent among hemodialysis (HD) patients and is associated with poor outcomes. There are various methods for nutritional status evaluation in HD patients. Each method has its own advantages and disadvantages. We aimed at comparing the method validities of normalized...

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Autores principales: Sohrabi, Zahra, Kohansal, Atefeh, Mirzahosseini, Hanieh, Naghibi, Moein, Zare, Morteza, Haghighat, Neda, Akbarzadeh, Marzieh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Clinical Nutrition 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8331289/
https://www.ncbi.nlm.nih.gov/pubmed/34386441
http://dx.doi.org/10.7762/cnr.2021.10.3.219
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author Sohrabi, Zahra
Kohansal, Atefeh
Mirzahosseini, Hanieh
Naghibi, Moein
Zare, Morteza
Haghighat, Neda
Akbarzadeh, Marzieh
author_facet Sohrabi, Zahra
Kohansal, Atefeh
Mirzahosseini, Hanieh
Naghibi, Moein
Zare, Morteza
Haghighat, Neda
Akbarzadeh, Marzieh
author_sort Sohrabi, Zahra
collection PubMed
description Protein-energy wasting (PEW) is prevalent among hemodialysis (HD) patients and is associated with poor outcomes. There are various methods for nutritional status evaluation in HD patients. Each method has its own advantages and disadvantages. We aimed at comparing the method validities of normalized protein catabolic ratio (nPCR) and malnutrition universal screening tool (MUST) with subjective global assessment (SGA) in HD patients. We examined 88 HD patients using SGA and MUST questionnaires. The nPCRs were calculated using pre-dialysis and post-dialysis BUN and Kt/v. Also, PEW of patients was assessed based on the criteria of the International Society of Renal Nutrition and Metabolism. Methods' specificity, sensitivity, and precision rates were assessed. Correlations between methods were analyzed using Pearson-correlation. Based on the SGA, MUST, and nPCR methods, almost 41%, 30%, and 60% of patients had malnutrition, respectively. According to the criteria, more than 90% of patients had PEW. SGA was positively and significantly associated with MUST (p ≤ 0.001). Sensitivity for SGA, MUST, and nPCR methods were 100%,100%, 1.8%, and their specificity were 98%, 98%, and 4%, and their precision rates were 99.7%, 98.7%, and 3%, respectively. From various methods of nutritional assessment (SGA, MUST, and nPCR), compared to SGA as the common method of nutrition assessment in hemodialysis patients, MUST had the nearest specificity, sensitivity, and precision rate and nPCR method had the lowest ones. nPCR seems to be a flawed marker of malnutrition and it should be more investigated if MUST can be used instead of SGA.
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spelling pubmed-83312892021-08-11 Comparison of the Nutritional Status Assessment Methods for Hemodialysis Patients Sohrabi, Zahra Kohansal, Atefeh Mirzahosseini, Hanieh Naghibi, Moein Zare, Morteza Haghighat, Neda Akbarzadeh, Marzieh Clin Nutr Res Original Article Protein-energy wasting (PEW) is prevalent among hemodialysis (HD) patients and is associated with poor outcomes. There are various methods for nutritional status evaluation in HD patients. Each method has its own advantages and disadvantages. We aimed at comparing the method validities of normalized protein catabolic ratio (nPCR) and malnutrition universal screening tool (MUST) with subjective global assessment (SGA) in HD patients. We examined 88 HD patients using SGA and MUST questionnaires. The nPCRs were calculated using pre-dialysis and post-dialysis BUN and Kt/v. Also, PEW of patients was assessed based on the criteria of the International Society of Renal Nutrition and Metabolism. Methods' specificity, sensitivity, and precision rates were assessed. Correlations between methods were analyzed using Pearson-correlation. Based on the SGA, MUST, and nPCR methods, almost 41%, 30%, and 60% of patients had malnutrition, respectively. According to the criteria, more than 90% of patients had PEW. SGA was positively and significantly associated with MUST (p ≤ 0.001). Sensitivity for SGA, MUST, and nPCR methods were 100%,100%, 1.8%, and their specificity were 98%, 98%, and 4%, and their precision rates were 99.7%, 98.7%, and 3%, respectively. From various methods of nutritional assessment (SGA, MUST, and nPCR), compared to SGA as the common method of nutrition assessment in hemodialysis patients, MUST had the nearest specificity, sensitivity, and precision rate and nPCR method had the lowest ones. nPCR seems to be a flawed marker of malnutrition and it should be more investigated if MUST can be used instead of SGA. Korean Society of Clinical Nutrition 2021-07-20 /pmc/articles/PMC8331289/ /pubmed/34386441 http://dx.doi.org/10.7762/cnr.2021.10.3.219 Text en Copyright © 2021. The Korean Society of Clinical Nutrition https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Sohrabi, Zahra
Kohansal, Atefeh
Mirzahosseini, Hanieh
Naghibi, Moein
Zare, Morteza
Haghighat, Neda
Akbarzadeh, Marzieh
Comparison of the Nutritional Status Assessment Methods for Hemodialysis Patients
title Comparison of the Nutritional Status Assessment Methods for Hemodialysis Patients
title_full Comparison of the Nutritional Status Assessment Methods for Hemodialysis Patients
title_fullStr Comparison of the Nutritional Status Assessment Methods for Hemodialysis Patients
title_full_unstemmed Comparison of the Nutritional Status Assessment Methods for Hemodialysis Patients
title_short Comparison of the Nutritional Status Assessment Methods for Hemodialysis Patients
title_sort comparison of the nutritional status assessment methods for hemodialysis patients
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8331289/
https://www.ncbi.nlm.nih.gov/pubmed/34386441
http://dx.doi.org/10.7762/cnr.2021.10.3.219
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