Role of Cardiac Biomarkers in Epidemiology and Risk Outcomes

医学 生物标志物 疾病 肌钙蛋白 观察研究 重症监护医学 利钠肽 人口 风险评估 生物标志物发现 临床试验 内科学 生物信息学 心力衰竭 心肌梗塞 蛋白质组学 生物 生物化学 计算机安全 环境卫生 计算机科学 基因
作者
P Haller,Benedikt N Beer,Andrew Tonkin,Stefan Blankenberg,Johannes Neumann
出处
期刊:Clinical Chemistry [American Association for Clinical Chemistry]
卷期号:67 (1): 96-106 被引量:9
标识
DOI:10.1093/clinchem/hvaa228
摘要

Abstract Background The use of biomarkers associated with cardiovascular disease (CVD) is established for diagnostic purposes. Cardiac troponins, as specific markers of myocardial injury, and natriuretic peptides, reflecting myocardial dilation, are routinely used for diagnosis in clinical practice. In addition, a substantial body of research has shed light on the ability of biomarkers to reflect the risk of future major cardiovascular events. Among biomarkers, troponin and members of the natriuretic peptide family have been investigated extensively in the general population, in those at higher risk, and in patients with known CVD. Both biomarkers have been shown to contribute substantially to statistical models describing cardiovascular risk, in addition to and independently of important clinical characteristics. The more precise identification of individuals at risk by appropriate use of biomarkers might lead to an earlier initiation of preventive therapies and potentially avoid significant events. Content We summarize the current evidence concerning risk prediction using cardiac biomarkers at different stages in the development of CVD and provide examples of observational studies and large-scale clinical trials testing such application. Beyond the focus on troponin and natriuretic peptides, we also discuss other important and emerging biomarkers in the field with potential for such application, including growth differentiation factor-15, soluble ST2 (alias for IL1RL1 [interleukin 1 receptor like 1), and galectin-3. Summary Incorporating biomarkers in risk prediction models might allow more precise identification of individuals at risk. Among the various biomarkers, cardiac troponin appears to be the most promising for prediction of future cardiovascular events in a wide variety of patient populations.

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
sunrise_99完成签到,获得积分10
2秒前
WXR完成签到,获得积分10
2秒前
lq完成签到,获得积分10
2秒前
辛勤如柏完成签到,获得积分10
2秒前
3秒前
花花子完成签到 ,获得积分10
3秒前
woxyk发布了新的文献求助10
3秒前
3秒前
直率苡完成签到,获得积分10
5秒前
PhD-SCAU完成签到,获得积分10
5秒前
5秒前
6秒前
小飞爱科研完成签到,获得积分10
8秒前
Ecokarster完成签到,获得积分10
8秒前
mhy完成签到 ,获得积分10
9秒前
托托完成签到,获得积分10
9秒前
12秒前
BLUE发布了新的文献求助30
12秒前
hmy完成签到 ,获得积分10
13秒前
13秒前
香蕉觅云应助juzi采纳,获得10
13秒前
不想起昵称完成签到,获得积分10
14秒前
15秒前
16秒前
16秒前
ranran完成签到,获得积分10
17秒前
18秒前
cebr完成签到,获得积分10
18秒前
于佳完成签到,获得积分10
19秒前
20秒前
北风发布了新的文献求助10
20秒前
20秒前
gzy发布了新的文献求助10
21秒前
CYH发布了新的文献求助10
21秒前
顾矜应助李金玉采纳,获得10
22秒前
周子淦发布了新的文献求助10
24秒前
kong完成签到,获得积分10
24秒前
25秒前
武陵济世完成签到,获得积分10
25秒前
meimei完成签到,获得积分10
26秒前
高分求助中
Psychopathic Traits and Quality of Prison Life 1000
Chemistry and Physics of Carbon Volume 18 800
The formation of Australian attitudes towards China, 1918-1941 660
Signals, Systems, and Signal Processing 610
天津市智库成果选编 600
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6451706
求助须知:如何正确求助?哪些是违规求助? 8263440
关于积分的说明 17608260
捐赠科研通 5516344
什么是DOI,文献DOI怎么找? 2903718
邀请新用户注册赠送积分活动 1880647
关于科研通互助平台的介绍 1722664