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Dietary intake as a predictor for all-cause mortality in hemodialysis subjects (NUGE-HD study)

This study aimed to identify the factors capable of mortality prediction in patients on hemodialysis, using a prospective cohort with three years of follow-up. We hypothesized that lack of clinical-metabolic control, impairment of nutritional status, and inadequate food consumption are risk factors...

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Autores principales: Balbino, Karla Pereira, Juvanhol, Leidjaira Lopes, Epifânio, Andreza de Paula Santos, Marota, Luciane Domingos, Bressan, Josefina, Hermsdorff, Helen Hermana Miranda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6917285/
https://www.ncbi.nlm.nih.gov/pubmed/31846484
http://dx.doi.org/10.1371/journal.pone.0226568
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author Balbino, Karla Pereira
Juvanhol, Leidjaira Lopes
Epifânio, Andreza de Paula Santos
Marota, Luciane Domingos
Bressan, Josefina
Hermsdorff, Helen Hermana Miranda
author_facet Balbino, Karla Pereira
Juvanhol, Leidjaira Lopes
Epifânio, Andreza de Paula Santos
Marota, Luciane Domingos
Bressan, Josefina
Hermsdorff, Helen Hermana Miranda
author_sort Balbino, Karla Pereira
collection PubMed
description This study aimed to identify the factors capable of mortality prediction in patients on hemodialysis, using a prospective cohort with three years of follow-up. We hypothesized that lack of clinical-metabolic control, impairment of nutritional status, and inadequate food consumption are risk factors for mortality in this population. This is a longitudinal study on a non-probabilistic sample of 85 adults and elderly patients undergoing hemodialysis, aged ≥ 18 years (66.0% male, 61.6±13.7 years). Data on anthropometric, biomarkers, body composition and food intake were obtained. Predictors of mortality were evaluated using Cox regression analysis. During the three years follow-up, 16 patients (18.8%) died. We observed that age (HR = 1.319, CI 95% = 1.131–1.538), calcium-phosphorus product (HR = 1.114, CI 95% = 1.031–1.205), ferritin (HR = 1.001, CI 95% = 1.001–1.002), nitric oxide (HR = 1.082, CI 95% = 1.006–1.164), and vitamin C intake (HR = 1.005, CI 95% = 1.001–1.009) were positively associated with mortality. Serum iron (HR = 0.717, CI 95% = 0.567–0.907), triceps skinfold thickness (HR = 0.704, CI 95% = 0.519–0.954), lean mass (HR = 0.863, CI 95% = 0.787–0.945), and the ratio of dietary monounsaturated/polyunsaturated fat (HR = 0.022, CI 95% = 0.001–0.549) were independent negative predictors of mortality. Our results suggest that dietary intake is also a predictor of mortality in patients on hemodialysis, besides nutritional status, body composition, oxidative stress, inflammation, and bone metabolism, indicating the importance of evaluation of these factors altogether for better prognosis.
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spelling pubmed-69172852019-12-27 Dietary intake as a predictor for all-cause mortality in hemodialysis subjects (NUGE-HD study) Balbino, Karla Pereira Juvanhol, Leidjaira Lopes Epifânio, Andreza de Paula Santos Marota, Luciane Domingos Bressan, Josefina Hermsdorff, Helen Hermana Miranda PLoS One Research Article This study aimed to identify the factors capable of mortality prediction in patients on hemodialysis, using a prospective cohort with three years of follow-up. We hypothesized that lack of clinical-metabolic control, impairment of nutritional status, and inadequate food consumption are risk factors for mortality in this population. This is a longitudinal study on a non-probabilistic sample of 85 adults and elderly patients undergoing hemodialysis, aged ≥ 18 years (66.0% male, 61.6±13.7 years). Data on anthropometric, biomarkers, body composition and food intake were obtained. Predictors of mortality were evaluated using Cox regression analysis. During the three years follow-up, 16 patients (18.8%) died. We observed that age (HR = 1.319, CI 95% = 1.131–1.538), calcium-phosphorus product (HR = 1.114, CI 95% = 1.031–1.205), ferritin (HR = 1.001, CI 95% = 1.001–1.002), nitric oxide (HR = 1.082, CI 95% = 1.006–1.164), and vitamin C intake (HR = 1.005, CI 95% = 1.001–1.009) were positively associated with mortality. Serum iron (HR = 0.717, CI 95% = 0.567–0.907), triceps skinfold thickness (HR = 0.704, CI 95% = 0.519–0.954), lean mass (HR = 0.863, CI 95% = 0.787–0.945), and the ratio of dietary monounsaturated/polyunsaturated fat (HR = 0.022, CI 95% = 0.001–0.549) were independent negative predictors of mortality. Our results suggest that dietary intake is also a predictor of mortality in patients on hemodialysis, besides nutritional status, body composition, oxidative stress, inflammation, and bone metabolism, indicating the importance of evaluation of these factors altogether for better prognosis. Public Library of Science 2019-12-17 /pmc/articles/PMC6917285/ /pubmed/31846484 http://dx.doi.org/10.1371/journal.pone.0226568 Text en © 2019 Balbino et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Balbino, Karla Pereira
Juvanhol, Leidjaira Lopes
Epifânio, Andreza de Paula Santos
Marota, Luciane Domingos
Bressan, Josefina
Hermsdorff, Helen Hermana Miranda
Dietary intake as a predictor for all-cause mortality in hemodialysis subjects (NUGE-HD study)
title Dietary intake as a predictor for all-cause mortality in hemodialysis subjects (NUGE-HD study)
title_full Dietary intake as a predictor for all-cause mortality in hemodialysis subjects (NUGE-HD study)
title_fullStr Dietary intake as a predictor for all-cause mortality in hemodialysis subjects (NUGE-HD study)
title_full_unstemmed Dietary intake as a predictor for all-cause mortality in hemodialysis subjects (NUGE-HD study)
title_short Dietary intake as a predictor for all-cause mortality in hemodialysis subjects (NUGE-HD study)
title_sort dietary intake as a predictor for all-cause mortality in hemodialysis subjects (nuge-hd study)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6917285/
https://www.ncbi.nlm.nih.gov/pubmed/31846484
http://dx.doi.org/10.1371/journal.pone.0226568
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