Fine-tuning of the prediction of mortality in hemodialysis patients by use of cytokine proteomic determination
Fine-tuning of the prediction of mortality in hemodialysis patients by use of cytokine proteomic determination
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DOI:
10.2215/cjn.02010507
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发表时间:
2008-03-01
影响因子:
9.8
通讯作者:
Dupuy, Anne-Marie
中科院分区:
文献类型:
--
作者:
Badiou, Stephanie;Cristol, Jean-Paul;Dupuy, Anne-Marie
Background and objectives: Inflammation-induced atherosclerosis and enhanced susceptibility to infection are linked to immune dysfunction and account for an important part of mortality in hemodialysis patients. This 4-yr prospective study aimed to use cytokine proteomic determination for predicting cardiovascular and noncardiovascular mortality in hemodialysis patients.Design, setting, participants, & measurements: Levels of 12 cytokines were measured using a proteomic biochip system in 134 patients who were on stable hemodialysis and compared with a control group of 150 healthy volunteers. Cox proportional hazards regression analysis was used to determine the relationship between cytokine and clinical outcome.Results: A proinflammatory state characterized by decreased anti-/proinflammatory cytokine ratio was evidenced in hemodialysis patients compared with control subjects. After adjustment for age, gender, smoking, and high-sensitivity C-reactive protein levels, IL-6 and (IL-4+IL-10)/IL-6 ratio were associated with a significant and specific enhanced hazard ratio of cardiovascular mortality (hazard ratio 11.32 [95% confidence interval 2.52 to 50.90; P < 0.01] and hazard ratio 3.14 [95% confidence interval 1.20 to 8.22; P < 0.05], respectively, when comparing the third and first tertiles). It is interesting that (IL-4+IL-6+IL-10)/(IL-2+IFN-gamma) ratio, used as a marker of lymphocytes T helper subsets cytokine secretion, was associated only with noncardiovascular mortality (hazard ratio 4.93; 95% confidence interval 1.03 to 23.65; P < 0.05).Conclusion: Beyond the strong prediction of cardiovascular mortality by IL-6, determination of cytokine ratios can be useful to identify hemodialysis patients with increased noncardiovascular mortality risk.