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N 端前脑钠肽,而非高敏 C 反应蛋白,可改善普通人群的心血管风险预测。

N-terminal pro-brain natriuretic peptide, but not high sensitivity C-reactive protein, improves cardiovascular risk prediction in the general population.

作者信息

Olsen Michael H, Hansen Tine W, Christensen Marina K, Gustafsson Finn, Rasmussen Susanne, Wachtell Kristian, Ibsen Hans, Torp-Pedersen Christian, Hildebrandt Per R

机构信息

Research Center for Prevention and Health, Department of Clinical Physiology and Nuclear Medicine, Glostrup University Hospital, DK-2600 Glostrup, Denmark.

出版信息

Eur Heart J. 2007 Jun;28(11):1374-81. doi: 10.1093/eurheartj/ehl448. Epub 2007 Jan 22.

Abstract

AIM

Serum N-terminal pro-brain natriuretic peptide (Nt-proBNP), high sensitivity (hs)-C-reactive protein, and urine albumin/creatinine ratio (UACR) are cardiovascular (CV) risk markers in the general population. The aim of this study was to determine whether they predicted CV events independently of established CV risk factors and whether they did so in an additive fashion.

METHODS AND RESULTS

In a population-based sample of 2656 individuals, 41, 51, 61, and 71 years old, we measured UACR, serum Nt-proBNP, hs-C-reactive protein, insulin, lipids and plasma glucose, clinic blood pressures, body composition, left ventricular (LV) mass index, and ejection fraction (EF) by echocardiography and pulse wave velocity. During the following 9.4 years, the combined CV endpoint (CEP) of CV death (136), non-fatal stroke, or non-fatal myocardial infarction occurred in 219 subjects. After adjustment for established CV risk factors using Cox-regression analyses, CEP and CV death were predicted by log(Nt-proBNP)/SD [hazard ratio (HR) = 1.58 and HR = 1.80, both P < 0.001] and by log(UACR)/SD (HR = 1.44 and HR = 1.52, both P < 0.001) in an additive fashion, but not by log(hs-C-reactive protein)/SD (HR = 1.17, P = 0.06 and HR = 1.13, NS). CV risk functions were constructed on the basis of Cox-regression analyses. Inclusion of Nt-proBNP and UACR did not increase the area under the receiver-operating characteristic plots.

CONCLUSION

Serum Nt-proBNP and UACR, but not hs-C-reactive protein, predicted CV events after adjustment for established CV risk factors including LV EF and relative wall thickness. However, more studies in relevant subgroups are needed before Nt-proBNP and UACR can be recommended for risk prediction in the general population to select subjects for primary prevention.

摘要

目的

血清N末端脑钠肽前体(Nt-proBNP)、高敏(hs)-C反应蛋白及尿白蛋白/肌酐比值(UACR)是普通人群心血管(CV)风险标志物。本研究旨在确定它们是否能独立于已确立的CV风险因素预测CV事件,以及是否以相加方式进行预测。

方法与结果

在一个基于人群的2656名年龄分别为41、51、61和71岁个体的样本中,我们测量了UACR、血清Nt-proBNP、hs-C反应蛋白、胰岛素、血脂和血糖、临床血压、身体成分、左心室(LV)质量指数以及通过超声心动图和脉搏波速度测量的射血分数(EF)。在接下来的9.4年中,219名受试者发生了CV死亡(136例)、非致死性卒中或非致死性心肌梗死的联合CV终点(CEP)。使用Cox回归分析对已确立的CV风险因素进行校正后,CEP和CV死亡通过log(Nt-proBNP)/标准差以相加方式预测(风险比[HR]=1.58和HR = 1.80,P均<0.001)以及通过log(UACR)/标准差预测(HR = 1.44和HR = 1.52,P均<0.001),但不是通过log(hs-C反应蛋白)/标准差预测(HR = 1.17,P = 0.06和HR = 1.13,无统计学意义)。基于Cox回归分析构建CV风险函数。纳入Nt-proBNP和UACR并未增加受试者工作特征曲线下面积。

结论

血清Nt-proBNP和UACR,而非hs-C反应蛋白,在对包括LV EF和相对室壁厚度等已确立的CV风险因素进行校正后可预测CV事件。然而,在推荐将Nt-proBNP和UACR用于普通人群风险预测以选择初级预防对象之前,还需要在相关亚组中进行更多研究。

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