Markers of imminent myocardial infarction

医学 心肌梗塞 比例危险模型 内科学 队列 心脏病学
作者
Johan Sundström,Erik Lampa,Karin Jensevik Eriksson,Andrea Ganna,Bodil Svennblad,Stefan Gustafsson
出处
期刊:European Journal of Preventive Cardiology [Oxford University Press]
卷期号:30 (Supplement_1)
标识
DOI:10.1093/eurjpc/zwad125.200
摘要

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – EU funding. Main funding source(s): AFA Insurance and the European Commission Seventh Framework Programme. Background and Purpose Myocardial infarction is a leading cause of death globally, but is notoriously difficult to predict. While most studies to date have considered long timeframes for etiological and prediction models, we aimed to identify biomarkers of an imminent first myocardial infarction and design relevant prediction models. Methods We used a novel case–cohort consortium of 2018 persons without prior cardiovascular disease (420 cases, 1598 subcohort representatives) from six European cohorts. We investigated associations of 817 proteins, 1025 metabolites, and 16 clinical variables at baseline with subsequent risk of a first myocardial infarction within 6 months after baseline. Associations in weighted, stratified Cox proportional hazards models that passed multiple testing bounds in the discovery sample were verified in an independent validation sample. We also developed a prediction model for clinical use. Results Forty-eight proteins, 43 metabolites, age, sex, and systolic blood pressure were associated with risk of an imminent first myocardial infarction in models adjusted for technical covariates only (Figure 1). Brain natriuretic peptide (BNP) was most consistently associated with imminent myocardial infarction risk, in models adjusting for additional covariates including age and sex. Using clinically readily available variables, we devised a prediction model (Figure 2) with good ability to discriminate between subsequent cases and non-cases (cross-validated C-index 0.78) to which the addition of BNP did not improve performance. Conclusion We found 94 biomarkers associated with risk of a first myocardial infarction within 6 months in persons without prior cardiovascular disease, and devised a prediction model with good discriminative ability for an imminent first myocardial infarction in the general population, with potential for motivating primary prevention efforts.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
科研通AI6.2应助Tony采纳,获得10
1秒前
1秒前
1秒前
科研通AI6.2应助璨澄采纳,获得10
1秒前
王火火发布了新的文献求助10
2秒前
2秒前
英姑应助ShawnYm采纳,获得10
3秒前
九点半上课了完成签到,获得积分10
3秒前
小胡完成签到,获得积分10
3秒前
4秒前
Stella发布了新的文献求助10
4秒前
Master发布了新的文献求助10
5秒前
kkk发布了新的文献求助30
5秒前
科研通AI6.4应助超帅的黄采纳,获得10
5秒前
科研通AI6.4应助54325346采纳,获得10
6秒前
Lilililili发布了新的文献求助10
6秒前
ly1发布了新的文献求助10
8秒前
8秒前
doctor杨发布了新的文献求助10
8秒前
9秒前
123完成签到,获得积分20
9秒前
追寻微笑完成签到,获得积分10
9秒前
研友_8RyzBZ发布了新的文献求助10
9秒前
peppa发布了新的文献求助10
9秒前
英吉利25发布了新的文献求助10
9秒前
9秒前
9秒前
Hui完成签到,获得积分10
9秒前
9秒前
10秒前
小车发布了新的文献求助10
12秒前
12秒前
坚定凝芙完成签到,获得积分20
13秒前
ruofanfan发布了新的文献求助10
13秒前
安静的青曼应助彭日晓采纳,获得20
13秒前
Miyo发布了新的文献求助10
13秒前
王子祺发布了新的文献求助10
14秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The anomeric effect 1314
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7736275
求助须知:如何正确求助?哪些是违规求助? 9286195
关于积分的说明 20176450
捐赠科研通 7314442
什么是DOI,文献DOI怎么找? 3305313
关于科研通互助平台的介绍 2457655
邀请新用户注册赠送积分活动 2314742