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Inflammatory Marker but Not Adipokine Predicts Mortality among Long-Term Hemodialysis Patients
Aims: chronic inflammation contributes significantly to the morbidity and mortality of chronic hemodialysis patients. A recent research has shown that adipokines were associated with inflammation in these patients. We aim to investigate whether biomarkers of inflammation, adipokines, and clinical fe...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2220026/ https://www.ncbi.nlm.nih.gov/pubmed/18288267 http://dx.doi.org/10.1155/2007/19891 |
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author | Tsai, Yu-Che Lee, Chien-Te Huang, Tiao-Lai Cheng, Ben-Chung Kuo, Chien-Chun Su, Yih Ng, Hwee-Yeong Yang, Chih-Chau Chuang, Fong-Rong Liao, Shang-Chih |
author_facet | Tsai, Yu-Che Lee, Chien-Te Huang, Tiao-Lai Cheng, Ben-Chung Kuo, Chien-Chun Su, Yih Ng, Hwee-Yeong Yang, Chih-Chau Chuang, Fong-Rong Liao, Shang-Chih |
author_sort | Tsai, Yu-Che |
collection | PubMed |
description | Aims: chronic inflammation contributes significantly to the morbidity and mortality of chronic hemodialysis patients. A recent research has shown that adipokines were associated with inflammation in these patients. We aim to investigate whether biomarkers of inflammation, adipokines, and clinical features can predict the outcome of hemodialysis patients. Materials and methods: we enrolled 181 hemodialysis patients (men: 97, mean age: [Formula: see text]) and analyzed predictors of long-term outcomes. Results: during the 3-year followup period, 41 patients died; the main causes of death were infection and cardiovascular disease. Elevated serum levels of hsCRP and albumin and advanced age were highly associated with death (all [Formula: see text]). Leptin and adiponectin levels were not significantly different between deceased patients and survivors. Cox-regression analysis indicated that age, diabetes, albumin level, and hsCRP were independent factors predicting mortality. Conclusion: the presence of underlying disease, advanced age, and markers of chronic inflammation is strongly related to survival rate in long-term hemodialysis patients. |
format | Text |
id | pubmed-2220026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-22200262008-02-20 Inflammatory Marker but Not Adipokine Predicts Mortality among Long-Term Hemodialysis Patients Tsai, Yu-Che Lee, Chien-Te Huang, Tiao-Lai Cheng, Ben-Chung Kuo, Chien-Chun Su, Yih Ng, Hwee-Yeong Yang, Chih-Chau Chuang, Fong-Rong Liao, Shang-Chih Mediators Inflamm Research Article Aims: chronic inflammation contributes significantly to the morbidity and mortality of chronic hemodialysis patients. A recent research has shown that adipokines were associated with inflammation in these patients. We aim to investigate whether biomarkers of inflammation, adipokines, and clinical features can predict the outcome of hemodialysis patients. Materials and methods: we enrolled 181 hemodialysis patients (men: 97, mean age: [Formula: see text]) and analyzed predictors of long-term outcomes. Results: during the 3-year followup period, 41 patients died; the main causes of death were infection and cardiovascular disease. Elevated serum levels of hsCRP and albumin and advanced age were highly associated with death (all [Formula: see text]). Leptin and adiponectin levels were not significantly different between deceased patients and survivors. Cox-regression analysis indicated that age, diabetes, albumin level, and hsCRP were independent factors predicting mortality. Conclusion: the presence of underlying disease, advanced age, and markers of chronic inflammation is strongly related to survival rate in long-term hemodialysis patients. Hindawi Publishing Corporation 2007 2007-12-06 /pmc/articles/PMC2220026/ /pubmed/18288267 http://dx.doi.org/10.1155/2007/19891 Text en Copyright © 2007 Yu-Che Tsai et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Tsai, Yu-Che Lee, Chien-Te Huang, Tiao-Lai Cheng, Ben-Chung Kuo, Chien-Chun Su, Yih Ng, Hwee-Yeong Yang, Chih-Chau Chuang, Fong-Rong Liao, Shang-Chih Inflammatory Marker but Not Adipokine Predicts Mortality among Long-Term Hemodialysis Patients |
title | Inflammatory Marker but Not Adipokine Predicts Mortality among Long-Term Hemodialysis Patients |
title_full | Inflammatory Marker but Not Adipokine Predicts Mortality among Long-Term Hemodialysis Patients |
title_fullStr | Inflammatory Marker but Not Adipokine Predicts Mortality among Long-Term Hemodialysis Patients |
title_full_unstemmed | Inflammatory Marker but Not Adipokine Predicts Mortality among Long-Term Hemodialysis Patients |
title_short | Inflammatory Marker but Not Adipokine Predicts Mortality among Long-Term Hemodialysis Patients |
title_sort | inflammatory marker but not adipokine predicts mortality among long-term hemodialysis patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2220026/ https://www.ncbi.nlm.nih.gov/pubmed/18288267 http://dx.doi.org/10.1155/2007/19891 |
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