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The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study

Dietary energy intake strongly linked to dialysis outcomes. We aimed to explore the optimal cut-off point of energy intake (EI) for identification of metabolic syndrome (MetS) in hemodialysis patients. The cross-sectional data of 243 hemodialysis patients from multi-dialysis centers in Taiwan was us...

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Autores principales: Duong, Tuyen Van, Wong, Te-Chih, Chen, Hsi-Hsien, Chen, Tzen-Wen, Chen, Tso-Hsiao, Hsu, Yung-Ho, Peng, Sheng-Jeng, Kuo, Ko-Lin, Wang, Chi-Sin, Tseng, I-Hsin, Feng, Yi-Wei, Chang, Tai-Yue, Su, Chien-Tien, Yang, Shwu-Huey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5851580/
https://www.ncbi.nlm.nih.gov/pubmed/29538427
http://dx.doi.org/10.1371/journal.pone.0193742
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author Duong, Tuyen Van
Wong, Te-Chih
Chen, Hsi-Hsien
Chen, Tzen-Wen
Chen, Tso-Hsiao
Hsu, Yung-Ho
Peng, Sheng-Jeng
Kuo, Ko-Lin
Wang, Chi-Sin
Tseng, I-Hsin
Feng, Yi-Wei
Chang, Tai-Yue
Su, Chien-Tien
Yang, Shwu-Huey
author_facet Duong, Tuyen Van
Wong, Te-Chih
Chen, Hsi-Hsien
Chen, Tzen-Wen
Chen, Tso-Hsiao
Hsu, Yung-Ho
Peng, Sheng-Jeng
Kuo, Ko-Lin
Wang, Chi-Sin
Tseng, I-Hsin
Feng, Yi-Wei
Chang, Tai-Yue
Su, Chien-Tien
Yang, Shwu-Huey
author_sort Duong, Tuyen Van
collection PubMed
description Dietary energy intake strongly linked to dialysis outcomes. We aimed to explore the optimal cut-off point of energy intake (EI) for identification of metabolic syndrome (MetS) in hemodialysis patients. The cross-sectional data of 243 hemodialysis patients from multi-dialysis centers in Taiwan was used. The dietary intake was assessed by using the three-day dietary questionnaire, and a 24-hour dietary recall, clinical and biochemical data were also evaluated. The MetS was diagnosed by the Harmonized Metabolic Syndrome criteria. The receiver operating characteristic (ROC) curve was to depict the optimal cut-off value of EI for the diagnosis of MetS. The logistic regression was also used to explore the association between inadequate EI and MetS. The optimal cut-off points of EI for identifying the MetS were 26.7 kcal/kg/day for patients aged less than 60 years, or with non-diabetes, and 26.2 kcal/kg/day for patients aged 60 years and above, or with diabetes, respectively. The likelihood of the MetS increased with lower percentiles of energy intake in hemodialysis patients. In the multivariate analysis, the inadequate dietary energy intake strongly determined 3.24 folds of the MetS. The assessment of dietary EI can help healthcare providers detecting patients who are at risk of metabolic syndrome.
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spelling pubmed-58515802018-03-23 The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study Duong, Tuyen Van Wong, Te-Chih Chen, Hsi-Hsien Chen, Tzen-Wen Chen, Tso-Hsiao Hsu, Yung-Ho Peng, Sheng-Jeng Kuo, Ko-Lin Wang, Chi-Sin Tseng, I-Hsin Feng, Yi-Wei Chang, Tai-Yue Su, Chien-Tien Yang, Shwu-Huey PLoS One Research Article Dietary energy intake strongly linked to dialysis outcomes. We aimed to explore the optimal cut-off point of energy intake (EI) for identification of metabolic syndrome (MetS) in hemodialysis patients. The cross-sectional data of 243 hemodialysis patients from multi-dialysis centers in Taiwan was used. The dietary intake was assessed by using the three-day dietary questionnaire, and a 24-hour dietary recall, clinical and biochemical data were also evaluated. The MetS was diagnosed by the Harmonized Metabolic Syndrome criteria. The receiver operating characteristic (ROC) curve was to depict the optimal cut-off value of EI for the diagnosis of MetS. The logistic regression was also used to explore the association between inadequate EI and MetS. The optimal cut-off points of EI for identifying the MetS were 26.7 kcal/kg/day for patients aged less than 60 years, or with non-diabetes, and 26.2 kcal/kg/day for patients aged 60 years and above, or with diabetes, respectively. The likelihood of the MetS increased with lower percentiles of energy intake in hemodialysis patients. In the multivariate analysis, the inadequate dietary energy intake strongly determined 3.24 folds of the MetS. The assessment of dietary EI can help healthcare providers detecting patients who are at risk of metabolic syndrome. Public Library of Science 2018-03-14 /pmc/articles/PMC5851580/ /pubmed/29538427 http://dx.doi.org/10.1371/journal.pone.0193742 Text en © 2018 Duong 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
Duong, Tuyen Van
Wong, Te-Chih
Chen, Hsi-Hsien
Chen, Tzen-Wen
Chen, Tso-Hsiao
Hsu, Yung-Ho
Peng, Sheng-Jeng
Kuo, Ko-Lin
Wang, Chi-Sin
Tseng, I-Hsin
Feng, Yi-Wei
Chang, Tai-Yue
Su, Chien-Tien
Yang, Shwu-Huey
The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study
title The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study
title_full The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study
title_fullStr The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study
title_full_unstemmed The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study
title_short The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study
title_sort cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: a clinical cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5851580/
https://www.ncbi.nlm.nih.gov/pubmed/29538427
http://dx.doi.org/10.1371/journal.pone.0193742
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