在肥胖儿童中识别阻塞性睡眠呼吸暂停:集群分析方法
Dvir Gatt1,2, Mojtaba Ahmadiankalati3, Giorge Voutsas4
1Division of Respiratory Medicine, Hospital for Sick Children, Toronto, Ontario, Canada.
Pediatric pulmonology
|October 3, 2023
概括
儿童肥胖会增加阻塞性睡眠呼吸暂停 (OSA) 的风险. 像BMI,年龄和部高度比率这样的容易测量的因素可以帮助识别高风险的年轻人进行早期OSA检测.
科学领域:
- 儿科肺病学 儿科肺病学
- 睡眠医学 睡眠医学
- 肥胖问题研究研究
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 影响25%-60%的肥胖儿童.
- 目前的诊断工具缺乏有效识别患有OSA高风险的儿童的能力.
研究的目的:
- 确定可以帮助识别儿童肥胖相关的OSA的临床变量.
- 通过集群分析对儿科肥胖症中OSA风险进行分层.
主要方法:
- 一项前性队列研究招募了118名患有肥胖症的儿童 (8-19岁).
- 使用年龄,BMI z-score和部高度比率 (NHR) 进行了K-means集群分析.
- 使用等级集群来确认已识别的集群的稳定性.
主要成果:
- 确定了两个不同的群体,OSA患病率分别为22.4%和58.3%.
- 与集群1相比,具有较高OSA患病率的集群2显示出显著更高的BMIz分数,NHR和年龄.
- 群体之间没有观察到性别或OSA症状的显著差异.
结论:
- 身体质量指数 (BMI),NHR和年龄是现有的临床措施.
- 这些易于获得的变量可以有效地识别患有OSA高风险的肥胖儿童.
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