Cargando…
Mid-arm circumference, body fat, nutritional and inflammatory biomarkers, blood glucose, dialysis adequacy influence all-cause mortality in hemodialysis patients: A prospective cohort study
Hemodialysis patients are at the high risk for morbidity and mortality. Evaluation and management of body composition and biochemical values are important to improve dialysis outcomes. We aimed to examine the effects of the mid-arm circumference, body fat, nutritional and inflammatory biomarkers, bl...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708842/ https://www.ncbi.nlm.nih.gov/pubmed/30896655 http://dx.doi.org/10.1097/MD.0000000000014930 |
_version_ | 1783446069808463872 |
---|---|
author | Duong, Tuyen Van Wu, Pei-Yu Wong, Te-Chih Chen, Hsi-Hsien Chen, Tso-Hsiao Hsu, Yung-Ho Peng, Sheng-Jeng Kuo, Ko-Lin Liu, Hsiang-Chung Lin, En-Tzu Feng, Yi-Wei Yang, Shwu-Huey |
author_facet | Duong, Tuyen Van Wu, Pei-Yu Wong, Te-Chih Chen, Hsi-Hsien Chen, Tso-Hsiao Hsu, Yung-Ho Peng, Sheng-Jeng Kuo, Ko-Lin Liu, Hsiang-Chung Lin, En-Tzu Feng, Yi-Wei Yang, Shwu-Huey |
author_sort | Duong, Tuyen Van |
collection | PubMed |
description | Hemodialysis patients are at the high risk for morbidity and mortality. Evaluation and management of body composition and biochemical values are important to improve dialysis outcomes. We aimed to examine the effects of the mid-arm circumference, body fat, nutritional and inflammatory biomarkers, blood glucose, and dialysis adequacy on the mortality. A prospective cohort study was conducted on 375 patients from 7 hospital-based dialysis centers. At baseline between September 2013 and April 2017, we assessed patients’ characteristics using chart review, body composition using the bioelectrical impedance analysis, and biochemical parameters using available laboratory tests. Patients were followed-up for all-cause mortality until April 2018. Kaplan–Meier Curves with Log-rank test, and Cox proportional hazards models were used to analyze the effects of assessed factors on the mortality. During the median of follow-up time of 1.4 (1.0–3.2) years, 47 (12.5%) patients died. In the multivariate analysis, mid-arm circumference (hazard ratio, HR, 0.90; 95% confidence interval, 95%CI, 0.82–0.99; P = .036), body fat mass (HR, 0.95; 95%CI, 0.91–1.00; P = .031), percent body fat (HR, 0.96; 95%CI, 0.92–0.99; P = .024), serum creatinine (HR, 0.81; 95%CI, 0.68–0.96; P = .015), and eKt/V (HR, 0.07; 95%CI, 0.01–0.33; P = .001) reduced the mortality risk. Inflammation (HR, 2.90; 95%CI, 1.59–5.27; P < .001), hyperglycemia (HR, 2.16; 95%CI, 1.06–4.40; P = .033), and low serum uric acid (HR, 2.22; 95%CI, 1.15–4.31; P = .018) increased the death risk. In hemodialysis patients, the higher values of the mid-arm circumference, body fat, serum creatinine, uric acid, and dialysis adequacy were associated with lower mortality, whereas, inflammation and hyperglycemia associated with higher mortality. |
format | Online Article Text |
id | pubmed-6708842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-67088422019-10-01 Mid-arm circumference, body fat, nutritional and inflammatory biomarkers, blood glucose, dialysis adequacy influence all-cause mortality in hemodialysis patients: A prospective cohort study Duong, Tuyen Van Wu, Pei-Yu Wong, Te-Chih Chen, Hsi-Hsien Chen, Tso-Hsiao Hsu, Yung-Ho Peng, Sheng-Jeng Kuo, Ko-Lin Liu, Hsiang-Chung Lin, En-Tzu Feng, Yi-Wei Yang, Shwu-Huey Medicine (Baltimore) Research Article Hemodialysis patients are at the high risk for morbidity and mortality. Evaluation and management of body composition and biochemical values are important to improve dialysis outcomes. We aimed to examine the effects of the mid-arm circumference, body fat, nutritional and inflammatory biomarkers, blood glucose, and dialysis adequacy on the mortality. A prospective cohort study was conducted on 375 patients from 7 hospital-based dialysis centers. At baseline between September 2013 and April 2017, we assessed patients’ characteristics using chart review, body composition using the bioelectrical impedance analysis, and biochemical parameters using available laboratory tests. Patients were followed-up for all-cause mortality until April 2018. Kaplan–Meier Curves with Log-rank test, and Cox proportional hazards models were used to analyze the effects of assessed factors on the mortality. During the median of follow-up time of 1.4 (1.0–3.2) years, 47 (12.5%) patients died. In the multivariate analysis, mid-arm circumference (hazard ratio, HR, 0.90; 95% confidence interval, 95%CI, 0.82–0.99; P = .036), body fat mass (HR, 0.95; 95%CI, 0.91–1.00; P = .031), percent body fat (HR, 0.96; 95%CI, 0.92–0.99; P = .024), serum creatinine (HR, 0.81; 95%CI, 0.68–0.96; P = .015), and eKt/V (HR, 0.07; 95%CI, 0.01–0.33; P = .001) reduced the mortality risk. Inflammation (HR, 2.90; 95%CI, 1.59–5.27; P < .001), hyperglycemia (HR, 2.16; 95%CI, 1.06–4.40; P = .033), and low serum uric acid (HR, 2.22; 95%CI, 1.15–4.31; P = .018) increased the death risk. In hemodialysis patients, the higher values of the mid-arm circumference, body fat, serum creatinine, uric acid, and dialysis adequacy were associated with lower mortality, whereas, inflammation and hyperglycemia associated with higher mortality. Wolters Kluwer Health 2019-03-22 /pmc/articles/PMC6708842/ /pubmed/30896655 http://dx.doi.org/10.1097/MD.0000000000014930 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 |
spellingShingle | Research Article Duong, Tuyen Van Wu, Pei-Yu Wong, Te-Chih Chen, Hsi-Hsien Chen, Tso-Hsiao Hsu, Yung-Ho Peng, Sheng-Jeng Kuo, Ko-Lin Liu, Hsiang-Chung Lin, En-Tzu Feng, Yi-Wei Yang, Shwu-Huey Mid-arm circumference, body fat, nutritional and inflammatory biomarkers, blood glucose, dialysis adequacy influence all-cause mortality in hemodialysis patients: A prospective cohort study |
title | Mid-arm circumference, body fat, nutritional and inflammatory biomarkers, blood glucose, dialysis adequacy influence all-cause mortality in hemodialysis patients: A prospective cohort study |
title_full | Mid-arm circumference, body fat, nutritional and inflammatory biomarkers, blood glucose, dialysis adequacy influence all-cause mortality in hemodialysis patients: A prospective cohort study |
title_fullStr | Mid-arm circumference, body fat, nutritional and inflammatory biomarkers, blood glucose, dialysis adequacy influence all-cause mortality in hemodialysis patients: A prospective cohort study |
title_full_unstemmed | Mid-arm circumference, body fat, nutritional and inflammatory biomarkers, blood glucose, dialysis adequacy influence all-cause mortality in hemodialysis patients: A prospective cohort study |
title_short | Mid-arm circumference, body fat, nutritional and inflammatory biomarkers, blood glucose, dialysis adequacy influence all-cause mortality in hemodialysis patients: A prospective cohort study |
title_sort | mid-arm circumference, body fat, nutritional and inflammatory biomarkers, blood glucose, dialysis adequacy influence all-cause mortality in hemodialysis patients: a prospective cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708842/ https://www.ncbi.nlm.nih.gov/pubmed/30896655 http://dx.doi.org/10.1097/MD.0000000000014930 |
work_keys_str_mv | AT duongtuyenvan midarmcircumferencebodyfatnutritionalandinflammatorybiomarkersbloodglucosedialysisadequacyinfluenceallcausemortalityinhemodialysispatientsaprospectivecohortstudy AT wupeiyu midarmcircumferencebodyfatnutritionalandinflammatorybiomarkersbloodglucosedialysisadequacyinfluenceallcausemortalityinhemodialysispatientsaprospectivecohortstudy AT wongtechih midarmcircumferencebodyfatnutritionalandinflammatorybiomarkersbloodglucosedialysisadequacyinfluenceallcausemortalityinhemodialysispatientsaprospectivecohortstudy AT chenhsihsien midarmcircumferencebodyfatnutritionalandinflammatorybiomarkersbloodglucosedialysisadequacyinfluenceallcausemortalityinhemodialysispatientsaprospectivecohortstudy AT chentsohsiao midarmcircumferencebodyfatnutritionalandinflammatorybiomarkersbloodglucosedialysisadequacyinfluenceallcausemortalityinhemodialysispatientsaprospectivecohortstudy AT hsuyungho midarmcircumferencebodyfatnutritionalandinflammatorybiomarkersbloodglucosedialysisadequacyinfluenceallcausemortalityinhemodialysispatientsaprospectivecohortstudy AT pengshengjeng midarmcircumferencebodyfatnutritionalandinflammatorybiomarkersbloodglucosedialysisadequacyinfluenceallcausemortalityinhemodialysispatientsaprospectivecohortstudy AT kuokolin midarmcircumferencebodyfatnutritionalandinflammatorybiomarkersbloodglucosedialysisadequacyinfluenceallcausemortalityinhemodialysispatientsaprospectivecohortstudy AT liuhsiangchung midarmcircumferencebodyfatnutritionalandinflammatorybiomarkersbloodglucosedialysisadequacyinfluenceallcausemortalityinhemodialysispatientsaprospectivecohortstudy AT linentzu midarmcircumferencebodyfatnutritionalandinflammatorybiomarkersbloodglucosedialysisadequacyinfluenceallcausemortalityinhemodialysispatientsaprospectivecohortstudy AT fengyiwei midarmcircumferencebodyfatnutritionalandinflammatorybiomarkersbloodglucosedialysisadequacyinfluenceallcausemortalityinhemodialysispatientsaprospectivecohortstudy AT yangshwuhuey midarmcircumferencebodyfatnutritionalandinflammatorybiomarkersbloodglucosedialysisadequacyinfluenceallcausemortalityinhemodialysispatientsaprospectivecohortstudy |