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使用PREVENT方程预测不同种族群体的死亡风险。

Predicting mortality risk using the PREVENT equation across diverse racial groups.

作者信息

Kobo Ofer, Rutter Martin K, Misra Shivani, Michos Erin D, Myint Phyo K, Roguin Ariel, Sun Louise Y, Mamas Mamas A

机构信息

Keele Cardiovascular Research Group, Centre for Prognosis Research, Keele University, David Weatherall Building, Keele, Staffordshire ST5 5BG, United Kingdom. Email:

出版信息

Am J Manag Care. 2025 May 1;31(5):e113-e119. doi: 10.37765/ajmc.2025.89734.

Abstract

OBJECTIVES

The Predicting Risk of CVD Events (PREVENT) score offers a contemporary tool for assessing cardiovascular risk without incorporating race, which has raised concerns about its performance across diverse racial and ethnic groups. We aimed to validate the performance of the PREVENT cardiovascular risk equation across diverse racial and ethnic groups and assess its association with long-term all-cause and cardiovascular mortality.

STUDY DESIGN

Observational cohort study using nationally representative data from the National Health and Nutrition Examination Survey (NHANES) linked with mortality data.

METHODS

Using 10-year data from the NHANES (2009-2018), we analyzed a cohort of more than 177 million adults in the US to evaluate the association between baseline cardiovascular risk, as determined by the PREVENT overall cardiovascular disease risk equation, and long-term all-cause and cardiovascular mortality across racial and ethnic groups. The cohort was stratified by race and ethnicity. We employed Cox proportional hazards models to assess the relationship between cardiovascular risk and mortality.

RESULTS

Our analysis revealed significant variations in baseline cardiovascular risk across racial and ethnic groups. Across all groups, there was a consistent incremental increase in both cardiovascular and all-cause mortality rates with higher estimated cardiovascular risk. During up to a decade of follow-up, we found that individuals at high risk had a 6-fold higher risk of all-cause mortality and a 9-fold higher risk of cardiovascular mortality compared with individuals at low cardiovascular risk. The association between cardiovascular risk and mortality remained consistent across all racial and ethnic groups, albeit with very different risk estimates. For every 5% increase in estimated 10-year cardiovascular risk, there was a 54% increase in all-cause mortality and a 57% increase in cardiovascular mortality.

CONCLUSIONS

These study findings validate PREVENT scores across diverse racial and ethnic populations, highlighting the tool's effectiveness in predicting cardiovascular risk and mortality regardless of race or ethnicity.

摘要

目的

心血管疾病事件预测(PREVENT)评分提供了一种评估心血管风险的现代工具,且未纳入种族因素,这引发了人们对其在不同种族和族裔群体中表现的担忧。我们旨在验证PREVENT心血管风险方程在不同种族和族裔群体中的性能,并评估其与长期全因死亡率和心血管死亡率的关联。

研究设计

使用来自国家健康与营养检查调查(NHANES)的具有全国代表性的数据,并与死亡率数据相链接的观察性队列研究。

方法

利用NHANES(2009 - 2018年)的10年数据,我们分析了美国超过1.77亿成年人的队列,以评估由PREVENT总体心血管疾病风险方程确定的基线心血管风险与不同种族和族裔群体的长期全因死亡率和心血管死亡率之间的关联。该队列按种族和族裔分层。我们采用Cox比例风险模型来评估心血管风险与死亡率之间的关系。

结果

我们的分析揭示了不同种族和族裔群体在基线心血管风险方面存在显著差异。在所有群体中,随着估计的心血管风险增加,心血管死亡率和全因死亡率均持续稳步上升。在长达十年的随访期间,我们发现心血管高风险个体的全因死亡风险比心血管低风险个体高6倍,心血管死亡风险高9倍。心血管风险与死亡率之间的关联在所有种族和族裔群体中均保持一致,尽管风险估计差异很大。估计的10年心血管风险每增加5%,全因死亡率增加54%,心血管死亡率增加57%。

结论

这些研究结果验证了PREVENT评分在不同种族和族裔人群中的有效性,突出了该工具在预测心血管风险和死亡率方面的有效性,无论种族或族裔如何。

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