Guilleminault C, Partinen M, Quera-Salva M A, Hayes B, Dement W C, Nino-Murcia G
Sleep Disorders Center, Stanford University School of Medicine, CA.
Chest. 1988 Jul;94(1):32-7. doi: 10.1378/chest.94.1.32.
To investigate determinants of daytime sleepiness in obstructive sleep apnea syndrome (OSAS), we studied 100 unselected OSAS patients by nocturnal polygraphic recording and the Multiple Sleep Latency Test (MSLT). Data obtained were submitted to three types of analysis. Respiratory disturbance index, oxygen saturation indices, body mass index, and total nocturnal sleep time did not significantly correlate with daytime sleepiness, as measured by the MSLT. Analysis of subgroups based on weight and degree of alertness also showed a nonsignificant correlation with daytime sleepiness. The best predictor of the excessive daytime sleepiness (EDS) frequently found in OSAS patients was the nocturnal polygraphic recording of the sleep disturbances and sleep structure anomalies that reflect the brain's overall dysfunction in OSAS. Understanding why an electroencephalogram arousal response occurs during sleep in association with abnormal breathing and how this response can become blunted may help us to better predict the development of EDS.
为了研究阻塞性睡眠呼吸暂停综合征（OSAS）患者日间嗜睡的决定因素，我们通过夜间多导睡眠图记录和多次睡眠潜伏期试验（MSLT）对100例未经筛选的OSAS患者进行了研究。所获得的数据进行了三种类型的分析。呼吸紊乱指数、血氧饱和度指数、体重指数和夜间总睡眠时间与通过MSLT测量的日间嗜睡无显著相关性。基于体重和警觉程度的亚组分析也显示与日间嗜睡无显著相关性。OSAS患者中常见的日间过度嗜睡（EDS）的最佳预测指标是夜间多导睡眠图记录的睡眠障碍和睡眠结构异常，这些反映了OSAS中大脑的整体功能障碍。了解睡眠期间与异常呼吸相关的脑电图觉醒反应为何会发生以及这种反应如何变得迟钝，可能有助于我们更好地预测EDS的发展。
