Markers of inflammation predict the long-term risk of developing chronic kidney disease: a population-based cohort study.
Markers of inflammation predict the long-term risk of developing chronic kidney disease: a population-based cohort study.
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DOI：
10.1038/ki.2011.283
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发表时间：
2011-12
影响因子：
19.6
通讯作者：
中科院分区：
文献类型：
--
作者：
在动物模型中，炎症过程已被证明在肾脏疾病的发展中起着重要作用。然而，在人类中，炎症标志物和慢性肾脏疾病(CKD)风险之间的独立关系尚不清楚。为了阐明这一点，我们研究了几种炎症生物标志物水平(高敏C-反应蛋白、肿瘤坏死因子-α受体2、白细胞计数和白细胞介素6)与慢性肾脏病发病风险的关系。在横断面分析中，我们发现所有这些炎症标志物都与感兴趣的、流行的CKD的结局呈正相关。然而，在纵向分析中，只有肿瘤坏死因子-α受体2、白细胞计数和白介素6水平(风险比最高和最低的三分位数分别为2.1、1.9和1.45)和C反应蛋白(风险比为1.09)与慢性肾脏病的发生呈正相关。因此，大多数炎症标志物的升高可以预测发生CKD的风险。每个标记物都应独立验证。
In animal models, inflammatory processes have been shown to have an important role in the development of kidney disease. In humans, however, the independent relation between markers of inflammation and the risk of chronic kidney disease (CKD) is not known. To clarify this, we examined the relationship of several inflammatory biomarker levels (high-sensitivity C-reactive protein, tumor necrosis factor-α receptor 2, white blood cell count, and interleukin-6) with the risk of developing CKD in a population-based cohort of up to 4926 patients with 15 years of follow-up. In cross-sectional analyses, we found that all these inflammation markers were positively associated with the outcome of interest, prevalent CKD. However, in longitudinal analyses examining the risk of developing incident CKD among those who were CKD-free at baseline, only tumor necrosis factor-α receptor 2, white blood cell count, and interleukin-6 levels (hazard ratios comparing highest with the lowest tertile of 2.10, 1.90, and 1.45, respectively), and not C-reactive protein (hazard ratio 1.09), were positively associated with incident CKD. Thus, elevations of most markers of inflammation predict the risk of developing CKD. Each marker should be independently verified.
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DOI：
10.1053/j.ajkd.2008.10.044
发表时间：
2009-04
期刊：
American journal of kidney diseases : the official journal of the National Kidney Foundation
影响因子：
--
作者：
Bash LD;Erlinger TP;Coresh J;Marsh-Manzi J;Folsom AR;Astor BC
通讯作者：
Astor BC
影响因子：
13.2
作者：
Erlinger, TP;Tarver-Carr, ME;Brancati, FL
通讯作者：
Brancati, FL
影响因子：
19.6
作者：
Festa, A;D'Agostino, R;Haffner, SM
通讯作者：
Haffner, SM
影响因子：
37.8
作者：
Pearson, TA;Mensah, GA;Vinicor, F
通讯作者：
Vinicor, F
影响因子：
19.6
作者：
Levey, AS;Eckardt, KU;Eknoyan, G
通讯作者：
Eknoyan, G