Suppr超能文献

30 种生物标志物对 2 个人群队列 10 年心血管风险评估的贡献:MONICA、风险、遗传学、存档和专论(MORGAM)生物标志物项目。

Contribution of 30 biomarkers to 10-year cardiovascular risk estimation in 2 population cohorts: the MONICA, risk, genetics, archiving, and monograph (MORGAM) biomarker project.

机构信息

Department of Medicine II, Johannes Gutenberg University Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany.

出版信息

Circulation. 2010 Jun 8;121(22):2388-97. doi: 10.1161/CIRCULATIONAHA.109.901413. Epub 2010 May 24.

Abstract

BACKGROUND

Cardiovascular risk estimation by novel biomarkers needs assessment in disease-free population cohorts, followed up for incident cardiovascular events, assaying the serum and plasma archived at baseline. We report results from 2 cohorts in such a continuing study.

METHODS AND RESULTS

Thirty novel biomarkers from different pathophysiological pathways were evaluated in 7915 men and women of the FINRISK97 population cohort with 538 incident cardiovascular events at 10 years (fatal or nonfatal coronary or stroke events), from which a biomarker score was developed and then validated in the 2551 men of the Belfast Prospective Epidemiological Study of Myocardial Infarction (PRIME) cohort (260 events). No single biomarker consistently improved risk estimation in FINRISK97 men and FINRISK97 women and the Belfast PRIME Men cohort after allowing for confounding factors; however, the strongest associations (with hazard ratio per SD in FINRISK97 men) were found for N-terminal pro-brain natriuretic peptide (1.23), C-reactive protein (1.23), B-type natriuretic peptide (1.19), and sensitive troponin I (1.18). A biomarker score was developed from the FINRISK97 cohort with the use of regression coefficients and lasso methods, with selection of troponin I, C-reactive protein, and N-terminal pro-brain natriuretic peptide. Adding this score to a conventional risk factor model in the Belfast PRIME Men cohort validated it by improved c-statistics (P=0.004) and integrated discrimination (P<0.0001) and led to significant reclassification of individuals into risk categories (P=0.0008).

CONCLUSIONS

The addition of a biomarker score including N-terminal pro-brain natriuretic peptide, C-reactive protein, and sensitive troponin I to a conventional risk model improved 10-year risk estimation for cardiovascular events in 2 middle-aged European populations. Further validation is needed in other populations and age groups.

摘要

背景

新型生物标志物的心血管风险评估需要在无疾病人群队列中进行,这些队列需要对基线时采集的血清和血浆进行检测,以跟踪发生心血管事件的情况。我们报告了这项正在进行的研究中的两个队列的结果。

方法和结果

在 FINRISK97 人群队列中,对来自不同病理生理途径的 30 种新型生物标志物进行了评估,该队列有 7915 名男性和女性,随访 10 年(发生致命或非致命性冠状动脉或中风事件),在此基础上制定了生物标志物评分,并在贝尔法斯特前瞻性心肌梗死(PRIME)研究的 2551 名男性中进行了验证(260 例事件)。在 FINRISK97 男性和 FINRISK97 女性以及贝尔法斯特 PRIME 男性队列中,没有一种单一的生物标志物能够在考虑混杂因素后一致提高风险评估;然而,与 FINRISK97 男性的危险比(每标准差)最强的关联是 N 端脑利钠肽前体(1.23)、C 反应蛋白(1.23)、B 型利钠肽(1.19)和敏感肌钙蛋白 I(1.18)。在 FINRISK97 队列中,使用回归系数和套索方法开发了一个生物标志物评分,选择肌钙蛋白 I、C 反应蛋白和 N 端脑利钠肽前体。在贝尔法斯特 PRIME 男性队列中,将该评分添加到常规风险因素模型中,通过提高 c 统计量(P=0.004)和综合判别力(P<0.0001)对其进行了验证,并导致个体在风险类别中的重新分类具有显著意义(P=0.0008)。

结论

在常规风险模型中添加包括 N 端脑利钠肽前体、C 反应蛋白和敏感肌钙蛋白 I 的生物标志物评分,可改善两个欧洲中年人群的 10 年心血管事件风险估计。需要在其他人群和年龄组中进行进一步验证。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验