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美国心脏协会预防方程与脂蛋白(a)对心血管疾病风险的评估:来自多族裔动脉粥样硬化研究(MESA)和英国生物银行的见解

AHA PREVENT Equations and Lipoprotein(a) for Cardiovascular Disease Risk : Insights From MESA and the UK Biobank.

作者信息

Bhatia Harpreet S, Ambrosio Matthew, Razavi Alexander C, Alebna Pamela L, Yeang Calvin, Spitz Jared A, Patel Jaideep, Tsai Michael Y, Sperling Laurence, Shapiro Michael D, Tsimikas Sotirios, Mehta Anurag

机构信息

Division of Cardiovascular Medicine, University of California, San Diego, La Jolla.

Department of Biostatistics, Virginia Commonwealth University, Richmond.

出版信息

JAMA Cardiol. 2025 Jun 4. doi: 10.1001/jamacardio.2025.1603.

Abstract

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.

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,但未被纳入美国心脏协会新的心血管疾病事件预测 (PREVENT) 方程以进行心血管疾病风险评估。

目的

评估这些方程在Lp(a) 升高个体中的性能。

设计、设置和参与者:队列研究,涉及来自多中心动脉粥样硬化多民族研究 (MESA,2000 - 2018 年;n = 6670) 和基于人群的英国生物银行 (UKB,2006 - 2022 年;n = 308113) 的 314783 名参与者,这些参与者无已知心血管疾病且有可用的Lp(a) 测量值。分析于2025年3月25日进行。

暴露

Lp(a) 水平升高至125 nmol/L或更高。

主要结局和测量指标

冠心病 (CHD)、ASCVD、心力衰竭 (HF) 和总心血管疾病。参与者被分为低(<5%)、临界(5% 至 <7.5%)、中度(7.5% 至 <20%)和高(≥20%)每种结局风险类别。计算10年观察到的事件发生率,并在年龄和性别调整的Cox比例风险模型中评估Lp(a) 升高与总体结局以及按风险类别划分的结局之间的关联。使用连续和分类净重新分类改善 (NRI)(使用上述切点)评估添加升高的Lp(a) 后风险预测的改善情况。

结果

在314783名参与者中(MESA中,平均 [标准差] 年龄为62.1 [10.2] 岁,女性3523名 [53%];UKB中,平均 [标准差] 年龄为56.3 [8.1] 岁,女性169648名 [55%]),无论Lp(a) 水平如何,观察到的10年ASCVD事件发生率总体上落在预测风险类别的范围内,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% 置信区间,1.22 - 1.38),CHD、HF和总心血管疾病的结果相似。对于CHD,最强的关联存在于低风险个体中(交互作用P值 = 0.31)。将升高的Lp(a) 值添加到PREVENT方程中适度改善了ASCVD风险预测(无类别NRI,0.058;95% 置信区间,0.043 - 0.065;分类NRI,0.006,95% 置信区间,0.004 - 0.011),临界风险的改善最大;当连续评估Lp(a) 时,预测改善最大的是低风险个体。对于CHD,预测改善最大的是低风险和高风险个体。

结论和相关性

在这项对两项队列研究的分析中,新的PREVENT方程在总体风险预测方面表现良好,包括在Lp(a) 升高的个体中。然而,Lp(a) 值仍然与较高风险独立相关,并且Lp(a) 可能改善个性化风险评估,特别是在特定亚组中。

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