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Impact of Percent Body Fat on All-Cause Mortality among Adequate Dialysis Patients with and without Insulin Resistance: A Multi-Center Prospective Cohort Study
The association between body fat and mortality in hemodialysis patients remains controversial. We examined the effect of percent body fat (PBF) on all-cause mortality among adequate hemodialysis patients with and without insulin resistance (IR). A prospective cohort study was conducted on 365 adequa...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6627844/ https://www.ncbi.nlm.nih.gov/pubmed/31181824 http://dx.doi.org/10.3390/nu11061304 |
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author | Duong, Tuyen Van Wong, Te-Chih Chen, Hsi-Hsien Chen, Tso-Hsiao Hsu, Yung-Ho Peng, Sheng-Jeng Kuo, Ko-Lin Liu, Hsiang-Chung Lin, En-Tzu Yang, Shwu-Huey |
author_facet | Duong, Tuyen Van Wong, Te-Chih Chen, Hsi-Hsien Chen, Tso-Hsiao Hsu, Yung-Ho Peng, Sheng-Jeng Kuo, Ko-Lin Liu, Hsiang-Chung Lin, En-Tzu Yang, Shwu-Huey |
author_sort | Duong, Tuyen Van |
collection | PubMed |
description | The association between body fat and mortality in hemodialysis patients remains controversial. We examined the effect of percent body fat (PBF) on all-cause mortality among adequate hemodialysis patients with and without insulin resistance (IR). A prospective cohort study was conducted on 365 adequate hemodialysis patients (equilibrated Kt/V ≥ 1.2) from seven hospitals. Patients’ characteristics and clinical and biochemical parameters were assessed at baseline between September 2013 and April 2017. Patients were followed up for all-cause mortality until April 2018. The median value of homeostatic model assessment (HOMA-IR) was used to classify IR. Cox proportional hazard models were utilized to examine predictors of all-cause mortality. During 1.4 (1.0–3.2) years of follow-up, 46 patients died. In patients with IR (HOMA-IR ≥ 5.18), PBF was significantly higher in the survival group than in the death group (31.3 ± 9.0 vs. 25.4 ± 8.2, p = 0.005). After controlling for confounding factors, PBF was significantly associated with lower risk for all-cause mortality in patients with IR (hazard ratio, 0.94; 95% confidence interval, 0.89–1.00; p = 0.033). The association was not observed in patients without IR. In conclusion, percent body fat shows a protective effect on survival in hemodialysis patients with IR. |
format | Online Article Text |
id | pubmed-6627844 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66278442019-07-23 Impact of Percent Body Fat on All-Cause Mortality among Adequate Dialysis Patients with and without Insulin Resistance: A Multi-Center Prospective Cohort Study Duong, Tuyen Van Wong, Te-Chih Chen, Hsi-Hsien Chen, Tso-Hsiao Hsu, Yung-Ho Peng, Sheng-Jeng Kuo, Ko-Lin Liu, Hsiang-Chung Lin, En-Tzu Yang, Shwu-Huey Nutrients Article The association between body fat and mortality in hemodialysis patients remains controversial. We examined the effect of percent body fat (PBF) on all-cause mortality among adequate hemodialysis patients with and without insulin resistance (IR). A prospective cohort study was conducted on 365 adequate hemodialysis patients (equilibrated Kt/V ≥ 1.2) from seven hospitals. Patients’ characteristics and clinical and biochemical parameters were assessed at baseline between September 2013 and April 2017. Patients were followed up for all-cause mortality until April 2018. The median value of homeostatic model assessment (HOMA-IR) was used to classify IR. Cox proportional hazard models were utilized to examine predictors of all-cause mortality. During 1.4 (1.0–3.2) years of follow-up, 46 patients died. In patients with IR (HOMA-IR ≥ 5.18), PBF was significantly higher in the survival group than in the death group (31.3 ± 9.0 vs. 25.4 ± 8.2, p = 0.005). After controlling for confounding factors, PBF was significantly associated with lower risk for all-cause mortality in patients with IR (hazard ratio, 0.94; 95% confidence interval, 0.89–1.00; p = 0.033). The association was not observed in patients without IR. In conclusion, percent body fat shows a protective effect on survival in hemodialysis patients with IR. MDPI 2019-06-09 /pmc/articles/PMC6627844/ /pubmed/31181824 http://dx.doi.org/10.3390/nu11061304 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Duong, Tuyen Van Wong, Te-Chih Chen, Hsi-Hsien Chen, Tso-Hsiao Hsu, Yung-Ho Peng, Sheng-Jeng Kuo, Ko-Lin Liu, Hsiang-Chung Lin, En-Tzu Yang, Shwu-Huey Impact of Percent Body Fat on All-Cause Mortality among Adequate Dialysis Patients with and without Insulin Resistance: A Multi-Center Prospective Cohort Study |
title | Impact of Percent Body Fat on All-Cause Mortality among Adequate Dialysis Patients with and without Insulin Resistance: A Multi-Center Prospective Cohort Study |
title_full | Impact of Percent Body Fat on All-Cause Mortality among Adequate Dialysis Patients with and without Insulin Resistance: A Multi-Center Prospective Cohort Study |
title_fullStr | Impact of Percent Body Fat on All-Cause Mortality among Adequate Dialysis Patients with and without Insulin Resistance: A Multi-Center Prospective Cohort Study |
title_full_unstemmed | Impact of Percent Body Fat on All-Cause Mortality among Adequate Dialysis Patients with and without Insulin Resistance: A Multi-Center Prospective Cohort Study |
title_short | Impact of Percent Body Fat on All-Cause Mortality among Adequate Dialysis Patients with and without Insulin Resistance: A Multi-Center Prospective Cohort Study |
title_sort | impact of percent body fat on all-cause mortality among adequate dialysis patients with and without insulin resistance: a multi-center prospective cohort study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6627844/ https://www.ncbi.nlm.nih.gov/pubmed/31181824 http://dx.doi.org/10.3390/nu11061304 |
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