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人类指数在预测10年ASCVD风险方面的比较有效性:从NHANES数据的见解
1Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Frontiers in cardiovascular medicine
|March 15, 2024
概括
身体形状指数 (ABSI) 是10年动脉样硬化心血管疾病 (ASCVD) 风险的最准确预测指标. 这一发现有助于识别早期干预和预防策略的个人.
科学领域:
- 心脏病学 心脏病学
- 公共卫生 公共卫生
- 生物统计学 生物统计学
背景情况:
- 心血管疾病是全球主要的死亡原因.
- 准确的10年动脉样硬化心血管疾病 (ASCVD) 风险预测对于干预至关重要.
- 这项研究评估了ASCVD风险评估的人类指数.
研究的目的:
- 评估6个人类指数对10年ASCVD风险的预测性能.
- 为了确定ASCVD风险分层的最准确指数.
- 为了确定风险评估的最佳截止值.
主要方法:
- 利用了来自11,863名参与者的NHANES数据 (1999-2018).
- 计算了六个人类指数:WC,BMI,WHtR,ABSI,BRI,WHT.5R. 这些指数包括:
- 通过ACC/AHA指南和聚合的队列方程,以及ROC曲线分析,评估了10年ASCVD风险.
主要成果:
- 在ASCVD风险组之间观察到显著的基线差异 (<7.5%对比>=7.5%),按性别分层.
- 与年龄增加,WC,BMI和不健康行为相关的ASCVD风险更高.
- 身体形状指数 (ABSI) 证明了 ASCVD 风险的最高预测精度 (AUC) 在两种性别.
结论:
- 人类测量指数,特别是ABSI,对于预测10年ASCVD风险很重要.
- ABSI可以有效地识别ASCVD风险较高的个体.
- 这些发现支持ABSI在ASCVD早期干预和预防策略中的作用.
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