在越南重新评估心血管风险分层:从SCORE2和原始SCORE模型的见解
Tran Nguyen Phuong Hai1, Nguyen Nhat Tai1,2, Nguyen Minh Kha2,3
1Department of Interventional Cardiology, Cho Ray Hospital, Ho Chi Minh City. Vietnam.
概括
与原来的SCORE相比,SCORE2模型在越南显著提高了心血管风险检测,识别了更多的高风险个人,特别是年轻男性,以便制定更好的预防策略.
科学领域:
- 心脏病学 心脏病学
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 心血管疾病 (CVD) 是全球主要的健康负担,特别是在越南.
- 现有的风险分层模型,如SCORE,对于预防策略至关重要.
- 通过包括非致命事件和区域重新校准,SCORE2模型提供了改进的预测.
研究的目的:
- 为了比较SCORE2和原始SCORE模型的性能.
- 评估SCORE2在越南人口中在一般健康检查期间的适用性.
主要方法:
- 在越南的Cho Ray医院进行了一项横截面研究.
- 从317名参与者中收集了人口统计,临床和实验室数据.
- 用SCORE和SCORE2模型计算心血管风险得分.
主要成果:
- 与SCORE相比,SCORE2将大量的个体重新分类为更高风险类别 (p < 0.001).
- 值得注意的是,44.2%的SCORE认为低至中等风险的患者被SCORE重新归类为高风险患者2.
- SCORE2发现了50岁以下的高风险人群,特别是男性.
结论:
- 与越南成年人的原始SCORE相比,SCORE2显示出更好的心血管风险分层.
- 这些发现表明,SCORE2可以更好地指导临床实践中的预防性心血管战略.
- SCORE2在识别年轻人和男性人群中更高风险方面具有特别的好处.
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