估计低密度脂蛋白-甘油三含量的方程及其用于心血管疾病风险分层的应用
Anna Wolska1, Maureen Sampson2, Rafael Zubirán1
1Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States.
低密度脂蛋白 (LDL-TG) 的甘油三含量比LDL胆固醇 (LDL-C) 更好地预测动脉样硬化心血管疾病 (ASCVD) 事件. 估计LDL-TG (eLDL-TG) 的方程可以改善ASCVD风险分层.
科学领域:
- 心脏病学 心脏病学
- 生物化学 生化学
- 预防医学 预防医学
背景情况:
- 低密度脂蛋白三糖体 (LDL-TG) 含量是动脉样硬化心血管疾病 (ASCVD) 事件的更强有力的预测因素,而不是LDL胆固醇 (LDL-C).
- 标准的脂质面板广泛可用,为改善心血管风险评估提供了潜在的资源.
研究的目的:
- 使用标准脂质面板结果开发估计LDL-TG (eLDL-TG) 的方程.
- 为了比较eLDL-TG与估计的LDL-C (eLDL-C) 的疗效,作为ASCVD风险分层的生物标志物.
主要方法:
- 在一个大数据集 (N=40,202) 上使用最小平方回归分析开发了一个 eLDL-TG方程.
- 在独立队列中验证了eLDL-TG和eLDL-C与ASCVD风险标志物和事件的关联 (NHANES,英国生物银行,ARIC).
- 使用回归分析,Wilcoxon Chi-Square和接收运行特征 (ROC) 分析来比较生物标志物性能.
主要成果:
- 在英国生物库队列中,eLDL-TG与LDL-C相比显示出更高的ASCVD风险分层 (Wilcoxon Chi-Square: 2,099.6与418.7).
- ROC分析显示,eLDL-TG与ASCVD事件的关联比LDL-C更强 (AUC:0.596与0.542).
- 低LDL-C但高LDL-TG的个体表现出与高LDL-C和高LDL-TG的个体相似的ASCVD风险,表明LDL-TG的独立风险贡献.
结论:
- eLDL-TG可以从标准脂质面板计算出来,类似于LDL-C.
- 与eLDL-C相比,eLDL-TG作为ASCVD初级预防的更有效的风险标志物.
- eLDL-TG的整合有可能显著提高最初的ASCVD风险分层,并更准确地识别有风险的个体.
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