Lovin Sînziana, Veale Dan, Cernomaz Andrei, Mihăescu Traian
UMF Gr. T. Popa Iaşi.
Pneumologia. 2007 Oct-Dec;56(4):194-201.
The obstructive sleep apnea syndrome (OSAS) is a condition characterized by repeated breathing pauses during sleep and associated with sleep fragmentation, intermittent hypoxia and increased, cardiovascular risk. The diagnosis of OSAS requires polysomnography, an expensive and time consuming technique, which still represents the gold-standard method. Several predictive mathematical models have been developed for the prediction of OSAS. These models combine subjective parameters (such as sleepiness, witnessed apneas and snoring), morphometric data (body mass index, neck circumference and cephalometric measures), associated co morbidities (such as hypertension), and oximetry data.
阻塞性睡眠呼吸暂停综合征(OSAS)是一种以睡眠期间反复呼吸暂停为特征的病症,与睡眠片段化、间歇性缺氧以及心血管风险增加相关。OSAS的诊断需要多导睡眠图检查,这是一种昂贵且耗时的技术,仍然是金标准方法。已经开发了几种预测性数学模型来预测OSAS。这些模型结合了主观参数(如嗜睡、目睹的呼吸暂停和打鼾)、形态学数据(体重指数、颈围和头影测量)、相关合并症(如高血压)以及血氧饱和度测定数据。