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系统性炎症反应指数与阻塞性睡眠呼吸暂停的严重程度相关的回顾性研究

Shamnaz Shahul¹, Sindaghatta Krishnarao Chaya¹, Sana Khader Mathamveed²

¹Department of Respiratory Medicine, JSS Academy of Higher Education and Research, Mysuru 570 015, India.

Diagnostics (Basel, Switzerland)

|August 28, 2025

概括

系统性炎症反应指数 (SIRI) 有效预测严重的阻塞性睡眠呼吸暂停 (OSA). 这种简单的生物标志物有助于早期检测和转诊,特别是在资源有限的环境中.

科学领域:

睡眠医学
炎症生物标志物
诊断的准确性

背景情况:

阻塞性睡眠呼吸暂停 (OSA) 涉及间歇性缺氧和睡眠碎片化,与全身炎症有关.
系统性炎症反应指数 (SIRI) 是潜在的炎症状况生物标志物.
调查SIRI与OSA严重性的关联对于了解疾病进展至关重要.

研究的目的:

评估SIRI在预测严重阻塞性睡眠呼吸暂停 (OSA) 的诊断性能.
将SIRI与其他炎症标志物 (NLR,PLR) 和临床评分 (STOP-BANG) 进行比较,以评估OSA的严重程度.
确定SIRI作为OSA早期检测的具有成本效益的生物标志物的实用性.

主要方法:

通过呼吸暂停指数 (AHI) 分类的150名OSA患者的回顾性分析.
根据血液参数计算炎症指数,包括SIRI,NLR和PLR.
使用相关性,ROC和回归分析来评估与OSA严重性的标志物相关性.

主要成果:

对于严重的OSA,SIRI具有很好的预测能力 (AUC: 0. 960).
结合SIRI和STOP-BANG得分显著改善了歧视 (AUC: 0.983).
通过SIRI,STOP-BANG,PLR和CRP的组合,可以实现完美的分辨率 (AUC: 1. 00).

结论:

SIRI是一个非常有价值和准确的生物标志物,用于识别严重的OSA.
它的简单性和成本效益使其适用于早期识别和转诊,特别是在初级保健中.
SIRI可以显著帮助临床医生管理OSA患者,特别是在资源有限的环境中.

关键词:

无呼吸低呼吸指数阻塞性睡眠呼吸暂停追溯研究系统性炎症系统性炎症反应指数

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