PREVENT方程预测了30至79岁成年人发生心血管疾病的风险
Nkiru Osude1, Christopher Granger1
1Duke Clinical Research Institute, Durham, North Carolina, USA (N.O., C.G.).
Annals of internal medicine
|June 3, 2024
概括
美国心脏协会开发了新的PREVENT方程来预测心血管疾病风险. 这些方程使用多样化的群体进行了验证,以改善风险评估,以获得更好的患者结果.
科学领域:
- 心血管科学 心血管科学
- 腎臟病學 (nephrology) 是一種醫學專業.
- 流行病学 流行病学
背景情况:
- 心血管疾病 (CVD) 仍然是全球主要的死亡原因.
- 准确的风险预测对于实施及时的预防策略至关重要.
- 现有的心血管风险计算器在不同人群中存在局限性.
研究的目的:
- 开发和验证美国心脏协会用于预测心血管疾病风险的PREVENT方程.
- 评估各种人口群体新方程的表现.
- 为心血管风险评估提供一个更公平的工具.
主要方法:
- 使用大型,多样化的数据集开发PREVENT方程.
- 使用多个队列的方程的内部和外部验证.
- 评估不同子组的校准和歧视.
- 与现有的CVD风险预测模型进行比较.
主要成果:
- PREVENT方程显示了对预测心血管疾病事件的良好校准和区别.
- 在不同种族和族群中,表现一致.
- 与特定人群中的一些现有模型相比,这些方程的准确性有所提高.
- 验证证实了开发的风险评分的概括性.
结论:
- 美国心脏协会的PREVENT方程为心血管疾病风险预测提供了经过验证的工具.
- 这些方程可以帮助临床医生识别高风险个体.
- 预防方程旨在提高心血管风险评估的公平性和准确性.
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