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Associations of Dietary Protein and Energy Intakes With Protein-Energy Wasting Syndrome in Hemodialysis Patients

INTRODUCTION: The associations of dietary protein and/or energy intakes with protein or energy wasting in patients on maintenance hemodialysis are controversial. We examined these in the Hemodialysis (HEMO) Study. METHODS: In 1487 participants in the HEMO Study, baseline dietary protein intake (gram...

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Autores principales: Beddhu, Srinivasan, Wei, Guo, Chen, Xiaorui, Boucher, Robert, Kiani, Rabia, Raj, Dominic, Chonchol, Michel, Greene, Tom, Murtaugh, Maureen A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5733766/
https://www.ncbi.nlm.nih.gov/pubmed/29270488
http://dx.doi.org/10.1016/j.ekir.2017.04.002
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author Beddhu, Srinivasan
Wei, Guo
Chen, Xiaorui
Boucher, Robert
Kiani, Rabia
Raj, Dominic
Chonchol, Michel
Greene, Tom
Murtaugh, Maureen A.
author_facet Beddhu, Srinivasan
Wei, Guo
Chen, Xiaorui
Boucher, Robert
Kiani, Rabia
Raj, Dominic
Chonchol, Michel
Greene, Tom
Murtaugh, Maureen A.
author_sort Beddhu, Srinivasan
collection PubMed
description INTRODUCTION: The associations of dietary protein and/or energy intakes with protein or energy wasting in patients on maintenance hemodialysis are controversial. We examined these in the Hemodialysis (HEMO) Study. METHODS: In 1487 participants in the HEMO Study, baseline dietary protein intake (grams per kilogram per day) and dietary energy intake (kilocalories per kilograms per day) were related to the presence of the protein-energy wasting (PEW) syndrome at month 12 (defined as the presence of at least 1 criteria in 2 of the 3 categories of low serum chemistry, low body mass, and low muscle mass) in logistic regression models. In additional separate models, protein intake estimated from equilibrated normalized protein catabolic rate (enPCR) was also related to the PEW syndrome. RESULTS: Compared with the lowest quartile, the highest quartile of baseline dietary protein intake was paradoxically associated with increased risk of the PEW syndrome at month 12 (odds ratio [OR]: 4.11; 95% confidence interval [CI]: 2.79–6.05). This relationship was completely attenuated (OR: 1.35; 95% CI: 0.88–2.06) with adjustment for baseline body weight, which suggested mathematical coupling. Results were similar for dietary energy intake. Compared with the lowest quartile of baseline enPCR, the highest quartile was not associated with the PEW syndrome at 12 months (OR: 0.78; 95% CI: 0.54–1.12). DISCUSSION: These data do not support the use of dietary protein intake or dietary energy intake criteria in the definition of the PEW syndrome in patients on maintenance hemodialysis.
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spelling pubmed-57337662017-12-21 Associations of Dietary Protein and Energy Intakes With Protein-Energy Wasting Syndrome in Hemodialysis Patients Beddhu, Srinivasan Wei, Guo Chen, Xiaorui Boucher, Robert Kiani, Rabia Raj, Dominic Chonchol, Michel Greene, Tom Murtaugh, Maureen A. Kidney Int Rep Clinical Research INTRODUCTION: The associations of dietary protein and/or energy intakes with protein or energy wasting in patients on maintenance hemodialysis are controversial. We examined these in the Hemodialysis (HEMO) Study. METHODS: In 1487 participants in the HEMO Study, baseline dietary protein intake (grams per kilogram per day) and dietary energy intake (kilocalories per kilograms per day) were related to the presence of the protein-energy wasting (PEW) syndrome at month 12 (defined as the presence of at least 1 criteria in 2 of the 3 categories of low serum chemistry, low body mass, and low muscle mass) in logistic regression models. In additional separate models, protein intake estimated from equilibrated normalized protein catabolic rate (enPCR) was also related to the PEW syndrome. RESULTS: Compared with the lowest quartile, the highest quartile of baseline dietary protein intake was paradoxically associated with increased risk of the PEW syndrome at month 12 (odds ratio [OR]: 4.11; 95% confidence interval [CI]: 2.79–6.05). This relationship was completely attenuated (OR: 1.35; 95% CI: 0.88–2.06) with adjustment for baseline body weight, which suggested mathematical coupling. Results were similar for dietary energy intake. Compared with the lowest quartile of baseline enPCR, the highest quartile was not associated with the PEW syndrome at 12 months (OR: 0.78; 95% CI: 0.54–1.12). DISCUSSION: These data do not support the use of dietary protein intake or dietary energy intake criteria in the definition of the PEW syndrome in patients on maintenance hemodialysis. Elsevier 2017-04-18 /pmc/articles/PMC5733766/ /pubmed/29270488 http://dx.doi.org/10.1016/j.ekir.2017.04.002 Text en © 2017 International Society of Nephrology. Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Clinical Research
Beddhu, Srinivasan
Wei, Guo
Chen, Xiaorui
Boucher, Robert
Kiani, Rabia
Raj, Dominic
Chonchol, Michel
Greene, Tom
Murtaugh, Maureen A.
Associations of Dietary Protein and Energy Intakes With Protein-Energy Wasting Syndrome in Hemodialysis Patients
title Associations of Dietary Protein and Energy Intakes With Protein-Energy Wasting Syndrome in Hemodialysis Patients
title_full Associations of Dietary Protein and Energy Intakes With Protein-Energy Wasting Syndrome in Hemodialysis Patients
title_fullStr Associations of Dietary Protein and Energy Intakes With Protein-Energy Wasting Syndrome in Hemodialysis Patients
title_full_unstemmed Associations of Dietary Protein and Energy Intakes With Protein-Energy Wasting Syndrome in Hemodialysis Patients
title_short Associations of Dietary Protein and Energy Intakes With Protein-Energy Wasting Syndrome in Hemodialysis Patients
title_sort associations of dietary protein and energy intakes with protein-energy wasting syndrome in hemodialysis patients
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5733766/
https://www.ncbi.nlm.nih.gov/pubmed/29270488
http://dx.doi.org/10.1016/j.ekir.2017.04.002
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