超越生命的基本 8:优化心血管健康指标来预测死亡率
Yang Peng1,2
1Greater Brisbane Clinical School, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
概括
使用生命的基本8 (LE8) 模型,通过恢复和加权,改善心血管健康 (CVH) 评估,可以提高死亡风险的预测. 较高的CVH显著降低了所有原因和心血管疾病死亡率的风险.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 心血管医学 心血管医学
背景情况:
- 心血管健康 (CVH),通过美国心脏协会的生命必需8 (LE8) 指标来衡量,与死亡率有关.
- 恢复或加权LE8组件对死亡率预测的影响需要进一步调查.
研究的目的:
- 评估CVH类别与所有原因和心血管疾病 (CVD) 死亡率之间的关联.
- 为了比较原始,rescored和权重的LE8模型对死亡风险的预测性能.
主要方法:
- 利用了2005-2018年全国健康和营养检查调查 (NHANES) 对32,076名美国成年人的数据.
- 采用考克斯的比例危险模型来评估CVH和死亡率之间的关联,比较三个评分方法:原始LE8,恢复LE8和加权LE8.
- 使用C统计和净重新分类改进 (NRI) 评估模型性能.
主要成果:
- 较高的CVH与所有原因 (58%-78%) 和心血管疾病 (64%-87%) 的死亡风险明显降低有关.
- 恢复模型改善了心血管疾病死亡风险的重新分类,而加权模型提高了歧视.
- 与原来的LE8模型相比,复苏和加权模型在预测所有原因死亡率方面都显示出适度的改进.
结论:
- 良好的心血管健康是预防死亡的一个强有力的保护因素.
- 通过恢复和加权来完善LE8评分方法,可以改善死亡风险预测,帮助制定有针对性的预防策略.
- 单个CVH成分对死亡风险的贡献有很大差异,这突显了加权分析的价值.
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