脂质组风险评分以提高心血管风险分层,用于初级预防
Jingqin Wu1, Corey Giles2, Aleksandar Dakic3
1Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Baker Department of Cardiometabolic Health, Melbourne University, Melbourne, Victoria, Australia.
Journal of the American College of Cardiology
|July 24, 2024
概括
一个新的脂质增强风险评分 (LRS) 改善了中等风险个体的心血管疾病 (CVD) 风险预测. 这种基于血液测试的得分有助于更好地分层患者进行预防和管理.
科学领域:
- 心血管疾病的研究研究.
- 发现生物标志物的发现.
- 风险预测建模风险预测建模
背景情况:
- 准确的心血管疾病 (CVD) 风险分层对于初级预防至关重要.
- 像弗雷明汉风险评分 (FRS) 这样的传统工具对于中等风险的个人可能缺乏准确性.
- 需要在这个多样化的人口群体中改进风险评估.
研究的目的:
- 为改善心血管疾病风险预测开发一个脂质增强风险评分 (LRS).
- 特别加强在中等风险类别内的风险重新分类.
- 将LRS与已建立的弗雷明汉风险评分 (FRS) 进行基准比较.
主要方法:
- 在澳大利亚糖尿病,肥胖和生活方式研究 (AusDiab) 队列上使用机器学习工作流 (回归) 开发了LRS.
- 在布塞尔顿健康研究队列中外部验证了LRS.
- 评估了BioHEART队列中冠状动脉评分 (CACS) 结果的预测效用.
主要成果:
- 在整个验证队伍中,LRS显著改善了中等风险组的歧视指标和CVD事件预测.
- 显示了显著的净重新分类改进,这表明风险的分类更好.
- 与FRS相比,实现了基于CACS的结果的优异预测,简化版本显示了可比性能.
结论:
- 对于中等风险分层来说,LRS在FRS上提供了潜在的进步.
- 它使用简单的血液检测预测动脉样硬化标志物,促进临床应用.
- LRS可以帮助患者进行像CACS一样的成像诊断,促进预防心血管疾病的精准医学.
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