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...

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Main Authors: Yu-Che Tsai, Chien-Te Lee, Tiao-Lai Huang, Ben-Chung Cheng, Chien-Chun Kuo, Yih Su, Hwee-Yeong Ng, Chih-Chau Yang, Fong-Rong Chuang, Shang-Chih Liao
Format: Article
Language:English
Published: Hindawi Limited 2007-01-01
Series:Mediators of Inflammation
Online Access:http://dx.doi.org/10.1155/2007/19891
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spelling doaj-3748203d81be407c819b41f8fb9730462020-11-24T21:43:30ZengHindawi LimitedMediators of Inflammation0962-93511466-18612007-01-01200710.1155/2007/1989119891Inflammatory Marker but Not Adipokine Predicts Mortality among Long-Term Hemodialysis PatientsYu-Che Tsai0Chien-Te Lee1Tiao-Lai Huang2Ben-Chung Cheng3Chien-Chun Kuo4Yih Su5Hwee-Yeong Ng6Chih-Chau Yang7Fong-Rong Chuang8Shang-Chih Liao9Division of Nephrology, Department of Internal Medicine, Chang-Gung Memorial Hospital, Kaohsiung Medical Center, Chang Gung University, College of Medicine, Kaohsiung Hsien 833, TaiwanDivision of Nephrology, Department of Internal Medicine, Chang-Gung Memorial Hospital, Kaohsiung Medical Center, Chang Gung University, College of Medicine, Kaohsiung Hsien 833, TaiwanDepartment of Psychiatry, Chang-Gung Memorial Hospital, Kaohsiung Medical Center, Chang Gung University, College of Medicine, Kaohsiung Hsien 833, TaiwanDivision of Nephrology, Department of Internal Medicine, Chang-Gung Memorial Hospital, Kaohsiung Medical Center, Chang Gung University, College of Medicine, Kaohsiung Hsien 833, TaiwanDepartment of International Trade, Cheng Shiu University, Kaohsiung Hsien 833, TaiwanDepartment of International Trade, Cheng Shiu University, Kaohsiung Hsien 833, TaiwanDivision of Nephrology, Department of Internal Medicine, Chang-Gung Memorial Hospital, Kaohsiung Medical Center, Chang Gung University, College of Medicine, Kaohsiung Hsien 833, TaiwanDivision of Nephrology, Department of Internal Medicine, Chang-Gung Memorial Hospital, Kaohsiung Medical Center, Chang Gung University, College of Medicine, Kaohsiung Hsien 833, TaiwanDivision of Nephrology, Department of Internal Medicine, Chang-Gung Memorial Hospital, Kaohsiung Medical Center, Chang Gung University, College of Medicine, Kaohsiung Hsien 833, TaiwanDivision of Nephrology, Department of Internal Medicine, Chang-Gung Memorial Hospital, Kaohsiung Medical Center, Chang Gung University, College of Medicine, Kaohsiung Hsien 833, TaiwanAims: 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: 56.3±13.6) 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 P<.001). 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.http://dx.doi.org/10.1155/2007/19891
collection DOAJ
language English
format Article
sources DOAJ
author Yu-Che Tsai
Chien-Te Lee
Tiao-Lai Huang
Ben-Chung Cheng
Chien-Chun Kuo
Yih Su
Hwee-Yeong Ng
Chih-Chau Yang
Fong-Rong Chuang
Shang-Chih Liao
spellingShingle Yu-Che Tsai
Chien-Te Lee
Tiao-Lai Huang
Ben-Chung Cheng
Chien-Chun Kuo
Yih Su
Hwee-Yeong Ng
Chih-Chau Yang
Fong-Rong Chuang
Shang-Chih Liao
Inflammatory Marker but Not Adipokine Predicts Mortality among Long-Term Hemodialysis Patients
Mediators of Inflammation
author_facet Yu-Che Tsai
Chien-Te Lee
Tiao-Lai Huang
Ben-Chung Cheng
Chien-Chun Kuo
Yih Su
Hwee-Yeong Ng
Chih-Chau Yang
Fong-Rong Chuang
Shang-Chih Liao
author_sort Yu-Che Tsai
title 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_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_sort inflammatory marker but not adipokine predicts mortality among long-term hemodialysis patients
publisher Hindawi Limited
series Mediators of Inflammation
issn 0962-9351
1466-1861
publishDate 2007-01-01
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: 56.3±13.6) 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 P<.001). 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.
url http://dx.doi.org/10.1155/2007/19891
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