Khadra Maha Abou, McConnell Keith, VanDyke Rhonda, Somers Virend, Fenchel Matthew, Quadri Syed, Jefferies Jenny, Cohen Aliza P, Rutter Michael, Amin Raouf
Department of Pediatrics, Cairo University, Cairo, Egypt.
Am J Respir Crit Care Med. 2008 Oct 15;178(8):870-5. doi: 10.1164/rccm.200802-321OC. Epub 2008 Jul 24.
An association between neurocognitive deficits and pediatric sleep-disordered breathing has been suggested; however, weak correlations between disease severity and functional outcomes underscore the lack of knowledge regarding factors modulating cognitive morbidity of sleep-disordered breathing.
To identify the parameters affected by sleep-disordered breathing that modulate cerebral oxygenation, an important determinant of cognition. A further objective was to use these parameters with demographic data to develop a predictive statistical model of pediatric cerebral oxygenation.
Ninety-two children (14 control subjects, 32 with primary snoring, and 46 with obstructive sleep apnea) underwent polysomnography with continuous monitoring of cerebral oxygenation and blood pressure. Analysis of covariance was used to relate the blood pressure, sleep diagnostic parameters, and demographic characteristics to regional cerebral oxygenation.
To account for anatomic variability, an index of cerebral oxygenation during sleep was derived by referencing the measurement obtained during sleep to that obtained during wakefulness. In a repeated measures model predicting the index of cerebral oxygenation, mean arterial pressure, rapid eye movement (REM) sleep, female sex, age, and oxygen saturation had a positive effect on cerebral oxygenation levels, whereas arousal index and non-REM (NREM) sleep had a negative effect.
Increasing mean arterial pressure, age, oxygen saturation, and REM sleep augment cerebral oxygenation, while sleep-disordered breathing, male sex, arousal index, and NREM sleep diminish it. The proposed model may explain the sources of variability in cognitive function of children with sleep-disordered breathing.
已有研究表明神经认知缺陷与儿童睡眠呼吸障碍之间存在关联;然而,疾病严重程度与功能结果之间的弱相关性凸显了我们对调节睡眠呼吸障碍认知发病率的因素缺乏了解。
确定受睡眠呼吸障碍影响且调节脑氧合的参数,脑氧合是认知的一个重要决定因素。另一个目的是将这些参数与人口统计学数据结合起来,建立一个预测儿童脑氧合的统计模型。
92名儿童(14名对照受试者、32名原发性打鼾儿童和46名阻塞性睡眠呼吸暂停儿童)接受了多导睡眠监测,并持续监测脑氧合和血压。采用协方差分析将血压、睡眠诊断参数和人口统计学特征与局部脑氧合联系起来。
为了考虑解剖学变异性,通过将睡眠期间获得的测量值与清醒期间获得的测量值进行参照,得出了睡眠期间脑氧合指数。在一个预测脑氧合指数的重复测量模型中,平均动脉压、快速眼动(REM)睡眠、女性性别、年龄和血氧饱和度对脑氧合水平有正向影响,而觉醒指数和非快速眼动(NREM)睡眠有负向影响。
平均动脉压升高、年龄增长、血氧饱和度升高和REM睡眠增加会增强脑氧合,而睡眠呼吸障碍、男性性别、觉醒指数和NREM睡眠则会降低脑氧合。所提出的模型可能解释了睡眠呼吸障碍儿童认知功能变异性的来源。