已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

AHA PREVENT Equations and Lipoprotein(a) for Cardiovascular Disease Risk

医学 比例危险模型 危险系数 内科学 动脉粥样硬化性心血管疾病 脂蛋白(a) 心力衰竭 人口 心脏病学 疾病 弗雷明翰风险评分 队列 队列研究 广义估计方程 脂蛋白 置信区间 胆固醇 环境卫生 统计 数学
作者
Harpreet Bhatia,Matthew Ambrosio,Alexander C. Razavi,Pamela L. Alebna,Calvin Yeang,Jared Spitz,Jaideep Patel,Michael Y. Tsai,Laurence Sperling,Michael D. Shapiro,Sotirios Tsimikas,Anurag Mehta
出处
期刊:JAMA Cardiology [American Medical Association]
卷期号:10 (8): 810-810 被引量:21
标识
DOI:10.1001/jamacardio.2025.1603
摘要

Importance: Lipoprotein(a) [Lp(a)] is independently associated with atherosclerotic cardiovascular disease (ASCVD) risk but is not included in the new American Heart Association Predicting Risk of Cardiovascular Disease Events (PREVENT) equations for CVD risk assessment. Objective: To evaluate the performance of these equations in individuals with elevated Lp(a). Design, Setting, and Participants: Cohort study involving 314 783 participants from the multicenter Multi-Ethnic Study of Atherosclerosis (MESA, 2000-2018; n = 6670) and the population-based UK Biobank (UKB, 2006-2022; n = 308 113) without known cardiovascular disease with available Lp(a) measurements. Analyses were conducted March 25, 2025. Exposure: Elevated Lp(a) level of 125 nmol/L or higher. Main Outcomes and Measures: Coronary heart disease (CHD), ASCVD, heart failure (HF), and total CVD. Participants were categorized as low (<5%), borderline (5% to <7.5%) intermediate (7.5% to <20%), and high (≥20%) risk of each outcome. Ten-year observed event rates were calculated, and the association between elevated Lp(a) and outcomes overall and by risk category was evaluated in age- and sex-adjusted Cox proportional hazards models. Improvement in risk prediction with the addition of elevated Lp(a) was evaluated using continuous and categorical net reclassification improvement (NRI) (using the above cut points). Results: Among the 314 783 participants (mean [SD] age, 62.1 [10.2] years and 3523 females [53%] in MESA; mean [SD] age, 56.3 [8.1] years; 169 648 females [55%] in the UKB), observed 10-year ASCVD event rates generally fell within the bounds of predicted risk categories regardless of Lp(a) level, although participants with elevated Lp(a) had higher event rates than did those with nonelevated Lp(a) (hazard ratio [HR], 1.30; 95% CI, 1.22-1.38) with similar results for CHD, HF, and total CVD. For CHD, the strongest association was among low-risk individuals (P for interaction = .31). The addition of elevated Lp(a) values to PREVENT modestly improved ASCVD risk prediction (category-free NRI, 0.058; 95% CI, 0.043-0.065; categorical NRI, 0.006, 95% CI, 0.004-0.011) with the greatest improvement in borderline-risk; when Lp(a) was evaluated continuously, the greatest improvement in prediction was among individuals at low risk. For CHD, the greatest improvement in prediction was in low- and high-risk individuals. Conclusions and Relevance: In this analysis of 2 cohort studies, the novel PREVENT equations performed well for risk prediction overall, including among individuals with elevated Lp(a). However, Lp(a) values remain independently associated with higher risk, and Lp(a) may improve personalized risk assessment, particularly among specific subgroups.
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
科研通AI6.3应助Zack采纳,获得10
3秒前
今后应助Jane采纳,获得10
3秒前
SciGPT应助Jane采纳,获得10
3秒前
4秒前
初景发布了新的文献求助100
4秒前
CodeCraft应助莫里亚蒂采纳,获得10
4秒前
Owen应助叶落滴滴哒哒采纳,获得30
5秒前
所所应助人类后腿采纳,获得10
5秒前
8秒前
9秒前
SSS完成签到 ,获得积分10
9秒前
10秒前
之组长了完成签到 ,获得积分10
11秒前
11秒前
11秒前
莫里亚蒂完成签到,获得积分10
13秒前
hcdb完成签到,获得积分10
13秒前
limeng发布了新的文献求助10
14秒前
15秒前
17秒前
莫里亚蒂发布了新的文献求助10
17秒前
暴发户发布了新的文献求助30
17秒前
熊猫海发布了新的文献求助10
18秒前
zsssss发布了新的文献求助10
18秒前
18秒前
上官若男应助美好斓采纳,获得30
21秒前
星月发布了新的文献求助10
22秒前
无花果应助紧张的大树采纳,获得10
23秒前
无极微光应助wl采纳,获得20
23秒前
23秒前
momo完成签到,获得积分10
24秒前
24秒前
25秒前
Jasper应助ZY采纳,获得10
25秒前
CodeCraft应助ben采纳,获得10
26秒前
27秒前
zz发布了新的文献求助10
27秒前
陈英杰发布了新的文献求助10
30秒前
大海u发货发布了新的文献求助10
30秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 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 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 7252185
求助须知:如何正确求助?哪些是违规求助? 8874579
关于积分的说明 18732879
捐赠科研通 6932240
什么是DOI,文献DOI怎么找? 3199651
关于科研通互助平台的介绍 2374362
邀请新用户注册赠送积分活动 2174251