血液透析患者的细胞因子模式与生存。
Cytokine patterns and survival in haemodialysis patients.
机构信息
Division of Renal Diseases and Hypertension, Department of Medicine, George Washington University, Washington, DC, USA.
出版信息
Nephrol Dial Transplant. 2010 Apr;25(4):1239-43. doi: 10.1093/ndt/gfp625. Epub 2009 Dec 11.
BACKGROUND
Increased pro-inflammatory cytokine levels are associated with decreased survival. We performed factor analyses to determine if pro-inflammatory and anti-inflammatory cytokines in haemodialysis (HD) patients load onto one or two discrete factors and assessed if patients with a specific pattern of high pro-inflammatory cytokines have decreased survival compared to patients with a high anti-inflammatory cytokine pattern.
METHODS
We evaluated 231 HD patients and analyzed them based on the three most common cytokine distribution patterns seen: a high pro-inflammatory group, a high anti-inflammatory group and all others. Survival and Cox regression analyses were performed.
RESULTS
Factor analyses of individual cytokines showed that they loaded onto a single factor. Sixty-five patients had a pro-inflammatory pattern of high IL-1, IL-6 and TNF-alpha levels and low anti-inflammatory parameters, including IL-2, IL-4, IL-5, IL-12, CH50 and T-cell number. The next most frequent cytokine pattern was found in 20 patients with high levels of anti-inflammatory parameters. The patients with high pro-inflammatory cytokines had decreased survival compared to patients without a characteristic cytokine pattern.
CONCLUSIONS
Further research is needed to better define the underlying causes of increased inflammation among end-stage renal disease patients and to apply anti-inflammatory therapies that may mitigate adverse effects on patient outcomes.
背景
促炎细胞因子水平升高与生存率降低有关。我们进行了因子分析,以确定血液透析(HD)患者中的促炎和抗炎细胞因子是否可以加载到一个或两个离散因子上,并评估具有特定高促炎细胞因子模式的患者与具有高抗炎细胞因子模式的患者相比,生存率是否降低。
方法
我们评估了 231 名 HD 患者,并根据三种最常见的细胞因子分布模式进行了分析:高促炎组、高抗炎组和其他所有患者。进行了生存和 Cox 回归分析。
结果
对单个细胞因子的因子分析表明,它们加载到单个因子上。65 名患者的 IL-1、IL-6 和 TNF-α 水平升高且抗炎参数低,包括 IL-2、IL-4、IL-5、IL-12、CH50 和 T 细胞数。下一个最常见的细胞因子模式见于 20 名抗炎参数水平较高的患者。与没有特征性细胞因子模式的患者相比,高促炎细胞因子的患者生存率降低。
结论
需要进一步研究,以更好地定义终末期肾病患者炎症增加的根本原因,并应用抗炎治疗,以减轻对患者预后的不利影响。