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预测慢性冠状动脉疾病在没有阻塞性睡眠呼吸暂停综合征的患者中的多式预后模型
Yanan Xu1, Jun Wang2, Zhen Zhou3
1Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China.
Archives of medical research
|December 7, 2023
概括
一个新的名图预测慢性冠状动脉疾病 (CCD) 患者的主要不良心血管事件 (MACE) 通过整合临床数据,呼吸暂停-呼吸暂停指数 (AHI) 和甘油三糖指数 (TyG). 该工具有助于评估CCD和潜在阻塞性睡眠呼吸暂停综合征 (OSAS) 患者的预后.
科学领域:
- 心脏病学 心脏病学
- 睡眠医学 睡眠医学
- 代谢障碍 代谢障碍 代谢障碍
背景情况:
- 阻塞性睡眠呼吸暂停综合征 (OSAS) 与代谢障碍和冠状动脉疾病 (CAD) 有关.
- 患有慢性冠状动脉疾病 (CCD) 的患者往往有心血管事件的高风险.
- 准确预测CCD患者的预后对于有效管理至关重要.
研究的目的:
- 在CCD患者中开发主要心血管不良事件 (MACE) 的预测性名录.
- 整合多式联络数据,包括睡眠呼吸暂停指标和代谢标记,以提高预后准确度.
- 在这个患者群体中确定MACE的独立风险因素.
主要方法:
- 使用最小绝对收缩和选择运算符 (LASSO) 和多重考克斯回归分析,开发了一个名图.
- 分析了393名CCD患者的数据,这些患者的OSAS预测概率低至中等.
- 确定了独立的风险因素,并纳入了nomogram.
主要成果:
- 诺米图包括七个变量:年龄,之前的CAD,酒精消费,子周长,呼吸暂停-呼吸暂停指数 (AHI) 和甘油三糖指数 (TyG).
- 该名录显示出良好的区分能力,C指数为0.79 (训练组) 和0.78 (验证组).
- 预测和实际MACE之间的高度相关性被观察到,具有很好的临床效用.
结论:
- 为预测CCD患者的MACEs,开发了一种集成的可视化预后名录.
- 诺米图有效地结合了临床特征,AHI和TyG指数,以提高预测准确度.
- 这种多式模式的方法显示了提高慢性冠状动脉疾病患者的预后评估的潜力.
关键词:
呼吸暂停-呼吸暂停指数慢性冠心病是一种慢性冠心病.主要的不良心血管事件.阻塞性睡眠呼吸暂停综合征预测名ogram 预测名ogram 是一个预测名ogram.三甘油三糖指数是指三甘油三糖的含量.更多相关视频
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