Quantifying microsleep to help assess subjective sleepiness
Quantifying microsleep to help assess subjective sleepiness
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DOI：
10.1016/j.sleep.2006.06.011
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发表时间：
2007-03-01
期刊：
影响因子：
4.8
通讯作者：
Ashtyani, Hormoz
中科院分区：
文献类型：
--
作者：
Blaivas, Allen J.;Patel, Rajeshri;Ashtyani, Hormoz
工作背景：在多次睡眠潜伏期测试（MPEST）中，微睡眠的定性存在已被证明与嗜睡、疲劳、事故/接近事故和间隙驾驶的主观投诉的发生率增加相关。然而，目前还没有数据说明如何量化微睡眠，并将其有效地作为一种诊断工具用于测量嗜睡。本研究的目的是整合微睡眠与MPEG4评分，并确定它是否改善了MPEG4和症状sleeping.Methods之间的相关性：54例MPEG4评分大于5分钟和微睡眠的存在至少一个午睡的患者的图表进行了审查。如果微睡眠存在于特定的小睡中，则它被用作睡眠开始的替代物。然后将该MSL+微睡眠评分（MSL-M）平均为总睡眠潜伏期，并与MSL评分进行比较，以确定其是否改善了与埃普沃思嗜睡量表（ESS）的相关性。一个microsleep午睡百分比（MNP）也获得了与ESS相关，以确定是否可以得到一个更好的关联derived.Results：使用斯皮尔曼相关性的MSL-M改善与ESS的相关性相比，MSL（r = 0.106与r = 0.063），但结果没有统计学意义。值得注意的是，MNP和MSL-M与ESS的相关性都很弱，MNP与ESS的相关性也不好相关系数r = -0.099。将微睡眠开始作为定量评估工具添加到Mackay评分中，未能显著增强主观和客观嗜睡描述之间的相关性，这超出了单独微睡眠的简单存在所带来的MPEG4值的改善。(C)2006 Elsevier B. V.保留所有权利。
Background: The qualitative presence of microsleep during the multiple sleep latency test (MSLT) has been shown to correlate with an increased incidence of subjective complaints of sleepiness, tiredness, accidents/near accidents, and gap driving. However, there is no data on how to quantify microsleep and effectively incorporate it as a diagnostic tool in the measurement of sleepiness. The purpose of this study was to integrate microsleep with the MSLT score and determine if it improved the correlation between the MSLT and symptomatic sleepiness.Methods: The charts of 54 patients who had an MSLT score of greater than 5 min and the presence of microsleep on at least one nap were reviewed. If microsleep was present in a given nap it was used as a surrogate for sleep onset. This MSLT plus microsleep score (MSL-M) was then averaged into the total sleep latency and compared to the MSLT score to determine if it improves correlation with the Epworth sleepiness scale (ESS). A microsleep nap percentage (MNP) was also obtained and correlated with ESS to determine if a better association could be derived.Results: Using the Spearman correlation the MSL-M improved the correlation with the ESS when compared to MSLT (r = 0.106 versus r = 0.063), but the results were not statistically significant. Of note, both the MSLT and MSL-M were only weakly correlated to the ESS. The MNP also did not have a good correlation with ESS (r = -0.099).Conclusions: The addition of microsleep onset to the MSLT score as a quantitative assessment tool failed to significantly enhance the correlation between subjective and objective accounts of sleepiness, beyond the improvement seen in the MSLT value by the simple presence of microsleep alone. (C) 2006 Elsevier B.V. All rights reserved.