基于网络模型的OSA与非OSA人群BMI-血氧饱和度-睡眠体位-心率变异性的差异研究

Study on the differences in BMI-oxygen saturation-sleep position-heart rate variability between OSA and non-OSA populations based on a network model

中文关键词:  阻塞性睡眠呼吸暂停  睡眠监测  BMI  心率变异性  网络分析

英文关键词:Obstructive sleep apnea  Sleep monitoring  Body mass index  Heart rate variability  Network analysis

中文摘要:

      背景 近年来，我国阻塞性睡眠呼吸暂停（OSA）患者数量持续攀升，已造成严重的疾病负担。然而，既往关于OSA影响因素（如肥胖、睡眠体位等）的研究多为横断面研究，难以揭示多因素间的动态交互机制，不利于个体化干预方案的制定。目的 探究OSA患者与非OSA人群体质量指数（BMI）-血氧饱和度-睡眠体位-心率变异性（HRV）网络模型的差异，为OSA的早期诊断及干预提供参考。方法 纳入2022年7月12日—2023年10月11日在西南医科大学附属医院进行睡眠监测的384名成年被试为研究对象。以呼吸暂停低通气指数（AHI）=5次/h作为诊断阈值，将患者分为OSA组（n=203）和对照组（n=181），分别构建BMI-血氧饱和度-睡眠体位-HRV网络并进行比较。结果 对照组与OSA组的网络模型整体边线权重（P=0.55）及整体强度（P=0.28）比较，差异均无统计学意义。两个网络模型特定节点间的连接强度（如“最低血氧饱和度”与“BMI”“俯卧位”“心搏间期平均值”之间）、特定节点的中心性指标（“平均血氧饱和度”“最低血氧饱和度”“立位AHI”“右侧卧位AHI”“平均心率”）比较，差异均有统计学意义（P均<0.05）。结论 非OSA人群与OSA人群在睡眠体位、心率、血氧饱和度等方面存在差异。

英文摘要:

      Background In recent years， the prevalence of obstructive sleep apnea （OSA） is escalating in China， leading to a serious disease burden. However， previous studies on the influencing factors of OSA， such as obesity and sleep position， were mostly cross-sectional studies. This approach inherently hinders the identification of dynamic interaction mechanism among multiple variables， consequently obstructing the formulation of individualized intervention strategies.Objective To investigate the differences in body mass index （BMI）-oxygen saturation-sleep position-heart rate variability （HRV） network models between OSA and non-OSA populations， thereby offering a reference for the early detection and management of OSA.Methods A total of 384 adult participants undergoing sleep monitoring at the Affiliated Hospital of Southwest Medical University from July 12， 2022 to October 11， 2023 were included. Subjects were categorized into OSA group （n=203） and control group （n=181） based on an apnea-hypopnea index （AHI） threshold of 5 events per hour. Subsequently， BMI-oxygen saturation-sleep position-HRV networks were constructed and compared between two groups.Results There was no significant difference in the overall edge weight （P=0.55） and overall strength （P=0.28） of the network model between control group and OSA group. Notable differences emerged in both the node connection strength （e.g.， minimum oxygen saturation with BMI， sleep in prone position， and mean RR interval） and node centrality indices （mean oxygen saturation， minimum oxygen saturation， AHI in upright position， AHI in right lateral position and mean heart rate） within the two network models （P<0.05）.Conclusion Significant differences are observed between the non-OSA and OSA populations in specific factors， including sleep position， heart rate and oxygen saturation.