Atherosclerotic Cardiovascular Disease Risk Estimates Using the Predicting Risk of Cardiovascular Disease Events Equations

医学 动脉粥样硬化性心血管疾病 弗雷明翰风险评分 疾病 内科学 心脏病学
作者
Timothy S. Anderson,Linnea M. Wilson,Jeremy B. Sussman
出处
期刊:JAMA Internal Medicine [American Medical Association]
卷期号:184 (8): 963-963 被引量:16
标识
DOI:10.1001/jamainternmed.2024.1302
摘要

Importance In 2023, the American Heart Association (AHA) developed the Predicting Risk of Cardiovascular Disease Events (PREVENT) equations to estimate 10-year risk of atherosclerotic cardiovascular disease (ASCVD), as an update to the 2013 pooled cohort equations (PCEs). The PREVENT equations were derived from contemporary cohorts and removed race and added variables for kidney function and statin use. Objective To compare national estimates of 10-year ASCVD risk using the PCEs and PREVENT equations and how these equations affect recommendations for primary prevention statin therapy. Design, Setting, and Participants This cross-sectional study included adults aged 40 to 75 years who participated in the National Health and Nutrition Examination Survey from 2017 to March 2020. Adults were defined as eligible for primary prevention statin use based on the 2019 AHA/American College of Cardiology guideline on the primary prevention of cardiovascular disease. Data were weighted to be nationally representative and were analyzed from December 27, 2023, to January 31, 2024. Main Outcomes and Measures The 10-year ASCVD risk and eligibility for primary prevention statin therapy based on PREVENT and PCE calculations. Results In the weighted sample of 3785 US adults (mean [SD] age, 55.7 [9.7] years; 52.5% women) without known ASCVD, 20.7% reported current statin use. The mean estimated 10-year ASCVD risk was 8.0% (95% CI, 7.6%-8.4%) using the PCEs and 4.3% (95% CI, 4.1%-4.5%) using the PREVENT equations. Across all age, sex, and racial subgroups, compared with the PCEs, the mean estimated 10-year ASCVD risk was lower using the PREVENT equations, with the largest difference for Black adults (10.9% [95% CI, 10.1%-11.7%] vs 5.1% [95% CI 4.7%-5.4%]) and individuals aged 70 to 75 years (22.8% [95% CI, 21.6%-24.1%] vs 10.2% [95% CI, 9.6%-10.8%]). The use of the PREVENT equations instead of the PCEs could reduce the number of adults meeting criteria for primary prevention statin therapy from 45.4 million (95% CI, 40.3 million-50.4 million) to 28.3 million (95% CI, 25.2 million-31.4 million). In other words, 17.3 million (95% CI, 14.8 million-19.7 million) adults recommended statins based on the PCEs would no longer be recommended statins based on PREVENT equations, including 4.1 million (95% CI, 2.8 million-5.5 million) adults currently taking statins. Based on the PREVENT equations, 44.1% (95% CI, 38.6%-49.5%) of adults eligible for primary prevention statin therapy reported currently taking statins, equating to 15.8 million (95% CI, 13.4 million-18.2 million) individuals eligible for primary prevention statins who reported not taking statins. Conclusions and Relevance This cross-sectional study found that use of the PREVENT equations was associated with fewer US adults being eligible for primary prevention statin therapy; however, the majority of adults eligible for receiving such therapy based on PREVENT equations did not report statin use.
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
Yenom完成签到 ,获得积分10
刚刚
1秒前
1秒前
SciGPT应助浩浩大人采纳,获得10
1秒前
迅速冰岚发布了新的文献求助10
1秒前
1秒前
WTT完成签到,获得积分20
2秒前
2秒前
苹果煎饼发布了新的文献求助10
2秒前
yan发布了新的文献求助10
2秒前
云肜发布了新的文献求助30
2秒前
Hello应助FatDanny采纳,获得10
3秒前
斯文败类应助娜行采纳,获得10
3秒前
庄小因完成签到,获得积分10
3秒前
热心市民小刘给热心市民小刘的求助进行了留言
3秒前
小钟完成签到,获得积分10
3秒前
徐慕源发布了新的文献求助10
3秒前
4秒前
深情安青应助任医生采纳,获得10
4秒前
4秒前
sherrinford完成签到,获得积分10
4秒前
科研通AI2S应助VDC采纳,获得10
5秒前
YAOYAO发布了新的文献求助10
5秒前
舒适豌豆完成签到,获得积分10
5秒前
Amber应助reck采纳,获得10
5秒前
Renhong完成签到,获得积分10
6秒前
7秒前
桐桐应助咕噜仔采纳,获得10
7秒前
季宇完成签到,获得积分10
8秒前
8秒前
科研通AI2S应助大脸妹采纳,获得10
8秒前
AA发布了新的文献求助10
9秒前
9秒前
9秒前
小二郎应助小喵采纳,获得10
10秒前
10秒前
stt发布了新的文献求助10
10秒前
11秒前
Oak完成签到 ,获得积分10
11秒前
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527469
求助须知:如何正确求助?哪些是违规求助? 3107497
关于积分的说明 9285892
捐赠科研通 2805298
什么是DOI,文献DOI怎么找? 1539865
邀请新用户注册赠送积分活动 716714
科研通“疑难数据库(出版商)”最低求助积分说明 709678