心血管疾病风险的AHA预防方程和脂蛋白(a):来自MESA和UK Biobank的见解

IF 14.8 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Harpreet S Bhatia, Matthew Ambrosio, Alexander C Razavi, Pamela L Alebna, Calvin Yeang, Jared A Spitz, Jaideep Patel, Michael Y Tsai, Laurence Sperling, Michael D Shapiro, Sotirios Tsimikas, Anurag Mehta
{"title":"心血管疾病风险的AHA预防方程和脂蛋白(a):来自MESA和UK Biobank的见解","authors":"Harpreet S Bhatia, Matthew Ambrosio, Alexander C Razavi, Pamela L Alebna, Calvin Yeang, Jared A Spitz, Jaideep Patel, Michael Y Tsai, Laurence Sperling, Michael D Shapiro, Sotirios Tsimikas, Anurag Mehta","doi":"10.1001/jamacardio.2025.1603","DOIUrl":null,"url":null,"abstract":"<p><strong>Importance: </strong>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.</p><p><strong>Objective: </strong>To evaluate the performance of these equations in individuals with elevated Lp(a).</p><p><strong>Design, setting, and participants: </strong>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.</p><p><strong>Exposure: </strong>Elevated Lp(a) level of 125 nmol/L or higher.</p><p><strong>Main outcomes and measures: </strong>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).</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions and relevance: </strong>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.</p>","PeriodicalId":14657,"journal":{"name":"JAMA cardiology","volume":" ","pages":""},"PeriodicalIF":14.8000,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12138797/pdf/","citationCount":"0","resultStr":"{\"title\":\"AHA PREVENT Equations and Lipoprotein(a) for Cardiovascular Disease Risk : Insights From MESA and the UK Biobank.\",\"authors\":\"Harpreet S Bhatia, Matthew Ambrosio, Alexander C Razavi, Pamela L Alebna, Calvin Yeang, Jared A Spitz, Jaideep Patel, Michael Y Tsai, Laurence Sperling, Michael D Shapiro, Sotirios Tsimikas, Anurag Mehta\",\"doi\":\"10.1001/jamacardio.2025.1603\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Importance: </strong>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.</p><p><strong>Objective: </strong>To evaluate the performance of these equations in individuals with elevated Lp(a).</p><p><strong>Design, setting, and participants: </strong>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.</p><p><strong>Exposure: </strong>Elevated Lp(a) level of 125 nmol/L or higher.</p><p><strong>Main outcomes and measures: </strong>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).</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions and relevance: </strong>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.</p>\",\"PeriodicalId\":14657,\"journal\":{\"name\":\"JAMA cardiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":14.8000,\"publicationDate\":\"2025-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12138797/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JAMA cardiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1001/jamacardio.2025.1603\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JAMA cardiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1001/jamacardio.2025.1603","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

重要性:脂蛋白(a) [Lp(a)]与动脉粥样硬化性心血管疾病(ASCVD)风险独立相关,但未包括在新的美国心脏协会预测心血管疾病事件风险(prevention)方程中用于CVD风险评估。目的:评价这些方程在Lp(a)升高个体中的表现。设计、设置和参与者:队列研究涉及314人 783名来自多中心多种族动脉粥样硬化研究(MESA, 2000-2018;n = 6670)和以人口为基础的英国生物银行(UKB, 2006-2022;n = 308 113),没有已知的心血管疾病,有可用的Lp(a)测量。分析于2025年3月25日进行。暴露:Lp(a)升高至125 nmol/L或更高。主要结局和指标:冠心病(CHD)、ASCVD、心力衰竭(HF)和总CVD。参与者被分类为低(结果:在314名参与者中 783名参与者(平均[SD]年龄,62.1[10.2]岁,女性3523名[53%]);平均[SD]年龄56.3[8.1]岁;169 648名UKB女性[55%],观察到的10年ASCVD事件发生率一般都在预测的风险类别范围内,无论Lp(a)水平如何,尽管Lp(a)升高的参与者的事件发生率高于Lp(a)未升高的参与者(风险比[HR], 1.30;95% CI, 1.22-1.38),冠心病、心衰和总心血管疾病的结果相似。对于冠心病,低风险个体的相关性最强(相互作用P = 0.31)。增加Lp(a)值来预防ASCVD风险预测略有改善(无类别NRI, 0.058;95% ci, 0.043-0.065;分类NRI, 0.006, 95% CI, 0.004-0.011),临界风险改善最大;当连续评估Lp(a)时,低风险个体的预测改善最大。对于冠心病,预测改善最大的是低风险个体。结论和相关性:在对两项队列研究的分析中,新的prevention方程总体上对风险预测效果良好,包括在Lp(a)升高的个体中。然而,Lp(a)值仍然与较高的风险独立相关,并且Lp(a)可以改善个性化的风险评估,特别是在特定的亚组中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AHA PREVENT Equations and Lipoprotein(a) for Cardiovascular Disease Risk : Insights From MESA and the UK Biobank.

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
JAMA cardiology
JAMA cardiology Medicine-Cardiology and Cardiovascular Medicine
CiteScore
45.80
自引率
1.70%
发文量
264
期刊介绍: JAMA Cardiology, an international peer-reviewed journal, serves as the premier publication for clinical investigators, clinicians, and trainees in cardiovascular medicine worldwide. As a member of the JAMA Network, it aligns with a consortium of peer-reviewed general medical and specialty publications. Published online weekly, every Wednesday, and in 12 print/online issues annually, JAMA Cardiology attracts over 4.3 million annual article views and downloads. Research articles become freely accessible online 12 months post-publication without any author fees. Moreover, the online version is readily accessible to institutions in developing countries through the World Health Organization's HINARI program. Positioned at the intersection of clinical investigation, actionable clinical science, and clinical practice, JAMA Cardiology prioritizes traditional and evolving cardiovascular medicine, alongside evidence-based health policy. It places particular emphasis on health equity, especially when grounded in original science, as a top editorial priority.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信