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Mediators of Inflammation
Volume 2007 (2007), Article ID 19891, 5 pages
http://dx.doi.org/10.1155/2007/19891
Research Article

Inflammatory Marker but Not Adipokine Predicts Mortality among Long-Term Hemodialysis Patients

1Division of Nephrology, Department of Internal Medicine, Chang-Gung Memorial Hospital, Kaohsiung Medical Center, Chang Gung University, College of Medicine, Kaohsiung Hsien 833, Taiwan
2Department of Psychiatry, Chang-Gung Memorial Hospital, Kaohsiung Medical Center, Chang Gung University, College of Medicine, Kaohsiung Hsien 833, Taiwan
3Department of International Trade, Cheng Shiu University, Kaohsiung Hsien 833, Taiwan

Received 24 July 2007; Revised 10 October 2007; Accepted 22 October 2007

Copyright © 2007 Yu-Che Tsai et al. 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.

Abstract

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.