Renal Dysfunction, Metabolic Syndrome and Cardiovascular Disease Mortality
Renal Dysfunction, Metabolic Syndrome and Cardiovascular Disease Mortality
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DOI：
10.1155/2010/167162
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发表时间：
2010-01-01
影响因子：
2.2
通讯作者：
Norris, AndKeith
中科院分区：
文献类型：
--
作者：
Martins, David;Ani, Chizobam;Norris, AndKeith
背景。肾脏疾病通常被描述为代谢综合征 (MetS) 的并发症，但最近的一些研究表明，慢性肾脏病 (CKD) 实际上可能先于代谢综合征 (MetS) 发生。很少有研究探讨 CKD 与 MetS 共聚类对心血管疾病 (CVD) 死亡率的预测效用。方法。使用了具有全国代表性的美国成年人样本 (NHANES) 的数据。选择了 13115 名年龄 >= 35 岁的非怀孕个体样本，并进行了后续死亡率评估。多变量 Cox 比例风险回归分析技术探讨了共聚类 CKD、MetS 和 CVD 死亡率之间的关系。贝叶斯分析技术使用共聚类 MetS 和 CKD 以及单独使用 MetS 测试了两个模型对 CVD 死亡率的预测准确性。结果。与没有 MetS 和无 CKD 的个体相比，早期和晚期 CKD 的共聚类分别导致 CVD 死亡风险显着升高（HR = 1.80，CI = 1.45-2.23，HR = 3.23，CI = 2.56-3.70）。与单独使用 MetS 的模型相比，包含早期 CKD 和 MetS 的模型具有更高的预测准确性（72.0% 与 67.6%）、ROC 下面积（0.74 与 0.66）以及 Cohen's kappa（0.38 与 0.21）。结论。研究结果表明，早期 CKD 与 MetS 的共同聚类提高了 CVD 死亡率风险预测的准确性。的
Background. Renal disease is commonly described as a complication of metabolic syndrome (MetS) but some recent studies suggest that Chronic Kidney disease (CKD) may actually antecede MetS. Few studies have explored the predictive utility of co-clustering CKD with MetS for cardiovascular disease (CVD) mortality. Methods. Data from a nationally representative sample of United States adults (NHANES) was utilized. A sample of 13115 non-pregnant individuals aged >= 35 years, with available follow-up mortality assessment was selected. Multivariable Cox Proportional hazard regression analysis techniques explored the relationship between co-clustered CKD, MetS and CVD mortality. Bayesian analysis techniques tested the predictive accuracy for CVD Mortality of two models using co-clustered MetS and CKD and MetS alone. Results. Co-clustering early and late CKD respectively resulted in statistically significant higher hazard for CVD mortality (HR = 1.80, CI = 1.45-2.23, and HR = 3.23, CI = 2.56-3.70) when compared with individuals with no MetS and no CKD. A model with early CKD and MetS has a higher predictive accuracy (72.0% versus 67.6%), area under the ROC (0.74 versus 0.66), and Cohen's kappa (0.38 versus 0.21) than that with MetS alone. Conclusion. The study findings suggest that the co-clustering of early CKD with MetS increases the accuracy of risk prediction for CVD mortality. of