在预测心血管疾病方面,传统的脂蛋白测试与非脂蛋白测试的比较
在PubMed上查看摘要
概括
此摘要是机器生成的。标准的脂质测量,包括总胆固醇和高密度脂蛋白胆固醇 (HDL-C),足以预测心血管疾病 (CVD) 的风险. 添加其他脂质,如LDL-C或阿波利波蛋白,并不能显著改善风险评估.
科学领域
- 心脏病学
- 生物化学
- 公共卫生
背景情况
- 心血管疾病 (CVD) 风险评估主要依赖于总胆固醇和高密度脂蛋白胆固醇 (HDL-C).
- 除了HDL-C,其他脂质测量对心脏病风险预测的附加值仍在争论中.
研究的目的
- 评估非HDL-C,LDL-C和apolipoproteins (ApoA1,ApoB) 除了标准脂质对心血管疾病风险的增量预测效用.
- 在非他类药物和他类药物使用者中比较不同脂质标志物的预测性能.
主要方法
- 在没有基线心血管疾病或他类药物使用的大型英国生物库队列 (n=346,686) 中分析脂质特征和心血管疾病事件.
- 考克斯比例危险模型用于评估脂质与心血管疾病的关联,并对经典风险因素进行调整.
- 使用C指数和净重新分类指数量化预测效益,并对他类药物使用者进行验证.
主要成果
- 阿波蛋白B (ApoB),LDL-C和非HDL-C与心血管疾病风险有很强的相关性,彼此相似.
- 将ApoB或LDL- C添加到总胆固醇和HDL- C的模型中没有显著改善心血管疾病风险预测.
- 在他类药物使用者中,非HDL- C和ApoB比经典因素改善了风险预测,但将ApoB添加到非HDL- C中没有进一步的益处.
结论
- 在非禁食时测量总胆固醇和HDL-C足以捕捉与脂质相关的心血管疾病风险.
- 在CVD风险预测中,除了标准的脂质测量之外,加入无脂蛋白或LDL- C并没有显著改善.
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