Predictors of objective level of daytime sleepiness in patients with sleep-related breathing disorders.
Predictors of objective level of daytime sleepiness in patients with sleep-related breathing disorders.
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DOI：
10.1378/chest.95.6.1202
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发表时间：
1989-06
期刊：
影响因子：
9.6
通讯作者：
T. Roehrs;F. Zorick;R. Wittig;William A. Conway;T. Roth
中科院分区：
文献类型：
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作者：
T. Roehrs;F. Zorick;R. Wittig;William A. Conway;T. Roth
白天过度嗜睡是OSAS最常见的症状，被认为是由于睡眠不完整或睡眠期间低氧血症引起的。收集了466例呼吸暂停患者的夜间睡眠、睡眠呼吸和日间嗜睡的测量结果，以评估这两种假设。各种参数进行相关性和多元回归分析，以预测白天嗜睡的测量MPEGLE。RAI测量与呼吸紊乱相关的睡眠觉醒次数（最佳片段相关性），与MPERS评分的相关性高于TMES（最佳低氧血症相关性）;然而，这些测量结果高度相关，并且确定哪些参数独立预测MPERS的多元回归分析显示，RAI是唯一最佳预测因子。TST和PSG 1解释了MSTs评分的额外独立方差。低氧血症的措施提供了很少或没有独立的预测信息。这些数据支持睡眠片段化是呼吸暂停患者日间嗜睡的重要决定因素的假设。
Excessive daytime sleepiness, the most prevalent symptom associated with the OSAS, is hypothesized to result from either fragmentation of sleep or hypoxemia during sleep. Measures of nocturnal sleep, respiration during sleep, and daytime sleepiness in 466 patients with apnea were collected to evaluate these two hypotheses. The various parameters were submitted to correlation and multiple regression analyses to predict daytime sleepiness as measured by the MSLT. The RAI, which measures the number of arousals from sleep associated with respiratory disturbances (best fragmentation correlation), produced a higher correlation with MSLT scores than did TMES (best hypoxemia correlation); however, the measures were highly intercorrelated, and multiple regression analyses to determine which parameters independently predicted MSLT showed the single best predictor to be the RAI. Additional independent variance in MSLT score was explained by TST and PSG1. Measures of hypoxemia provided little or no independent predictive information. These data support the hypothesis that sleep fragmentation is an important determinant of daytime sleepiness in patients with apnea.