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A Model to Simulate Clinically Relevant Hypoxia in Humans
Published on: December 22, 2016
阻塞性睡眠呼吸暂停严重程度和心血管疾病风险预测的低氧指数:社区人口中的比较和应用
Xinjie Hui1, Wenhao Cao1, Zeyu Xu2
1Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
新指数,死亡率的睡眠呼吸障碍指数 (SBII) 和患病率的呼吸事件导致脱和 (pRED_3p) 的睡眠时间百分比,比传统措施更好地预测阻塞性睡眠呼吸暂停中的心血管疾病风险.
科学领域:
- 睡眠医学 睡眠医学
- 心血管研究研究心血管研究
- 生物统计学 生物统计学
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 具有显著的心血管疾病 (CVD) 风险.
- 传统的指数,如呼吸暂停-呼吸暂停指数 (AHI) 和氧气不和指数 (ODI),在评估这些风险方面存在局限性.
- 新的低氧指数需要全面的验证和比较.
研究的目的:
- 为了比较各种低氧指数在预测心血管疾病死亡率和发病率方面的有效性.
- 为了确定OSA患者风险分层的最佳指数.
主要方法:
- 在睡眠心脏健康研究 (SHHS) 中利用了4485名参与者的数据 (年龄大于40岁).
- 与AHI,ODI,重建的低氧负担 (rHB),pRED_3p和睡眠呼吸障碍指数 (SBII) 的比较.
- 员工调整了考克斯的比例模型来计算心血管疾病结果的危险比率 (HR).
主要成果:
- SBII和pRED_3p与心血管疾病死亡率和发病率有显著的相关性.
- SBII为死亡率提供了最高的调整HR (2.04 [1.25, 3.34]).
- pRED_3p为患病率提供了最高的调整HR (1.43 [1.09-1.88]).
- AHI和ODI没有显示与心血管疾病结果的显著相关性.
结论:
- 分别,SBII和pRED_3p是预测OSA相关心血管疾病死亡率和发病率的优秀指数.
- 有一个开源平台可用于索引计算.
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