Inflammatory Marker but Not Adipokine Predicts Mortality among Long-Term Hemodialysis Patients release_jqmahbsk2fa4zh4i3degwlqera

by 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

Published in Mediators of Inflammation by Hindawi Limited.

2007   Volume 2007, p1-5

Abstract

<jats:italic>Aims</jats:italic>: 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.<jats:italic>Materials and methods</jats:italic>: we enrolled 181 hemodialysis patients (men: 97, mean age:<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="E1"><mml:mrow><mml:mtext>56</mml:mtext><mml:mtext>.3</mml:mtext><mml:mo>±</mml:mo><mml:mtext>13</mml:mtext><mml:mtext>.6</mml:mtext></mml:mrow></mml:math>) and analyzed predictors of long-term outcomes.<jats:italic>Results</jats:italic>: 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<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="E2"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>.001</mml:mn></mml:mrow></mml:math>). 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.<jats:italic>Conclusion</jats:italic>: the presence of underlying disease, advanced age, and markers of chronic inflammation is strongly related to survival rate in long-term hemodialysis patients.
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Year   2007
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DOI  10.1155/2007/19891
PubMed  18288267
PMC  PMC2220026
Wikidata  Q36417503
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