在高血压中优化阻塞性睡眠呼吸暂停风险评估:在中国开发预测性诺莫图
Yitian Yang1, Xishi Sun2, Jinhua Liang1
1The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524003, People's Republic of China.
Nature and science of sleep
|February 17, 2025
概括
这项研究开发了一种名谱来预测高血压患者的阻塞性睡眠呼吸暂停 (OSA) 风险,使用性别,年龄,BMI,子周长和爱普沃思睡眠度量表. 该模型准确识别了OSA风险,有助于临床决策.
科学领域:
- 心脏病学 心脏病学
- 肺部病理学 肺部病理学
- 睡眠医学 睡眠医学
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 在被诊断为高血压的患者中非常普遍.
- 在高血压患者中准确预测OSA的风险对于及时干预至关重要.
研究的目的:
- 开发和验证一个客观的nomogram来预测高血压患者的OSA风险.
- 确定OSA风险评估在这个人群中的关键临床指标.
主要方法:
- 对接受多睡眠图 (PSG) 的高血压患者的回顾性分析.
- 在训练组 (n=303) 中使用后勤回归和LASSO回归进行预测名ogram的开发.
- 在单独的验证组 (n=217) 上使用C指数,校准曲线,DCA和CICA验证名ogram的性能 (n=217).
主要成果:
- 纳米图包括性别,年龄,体重指数 (BMI),子周长 (NC) 和爱普沃思睡眠度量表 (ESS).
- 诺米图表显示出强大的预测准确性,C指数为0.840 (训练) 和0.808 (验证).
- 该模型的曲线下面面积 (AUC) 在各种呼吸暂停-呼吸暂停指数 (AHI) 值中超过了STOP-Bang得分.
结论:
- 使用五个临床因素的验证名图可以有效预测高血压患者的OSA风险.
- 开发的诺米图为评估OSA风险提供了临床上有用的工具,可能有助于改善患者管理.
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