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警觉度维持测试能否预测实际驾驶能力?

Can real-life driving ability be predicted by the Maintenance of Wakefulness Test?

机构信息

a Division of Medical Imaging, Department of Clinical Neurophysiology, Turku University Hospital , Turku , Finland.

b Department of Clinical Neurophysiology, TYKS-SAPA, Hospital District of Southwest Finland , Turku , Finland.

出版信息

Traffic Inj Prev. 2019;20(6):601-606. doi: 10.1080/15389588.2019.1630828. Epub 2019 Jul 22.

Abstract

Drowsy driving is a profound road safety issue. In patients with excessive daytime sleepiness (EDS), the Maintenance of Wakefulness Test (MWT) is commonly used to evaluate driving ability. However, there is little evidence that MWT predicts driving performance, and several sleep latency cutoffs have been suggested. Based on a retrospective chart analysis of patients with an MWT and a driving ability assessment between January 2006 and November 2014, we identified 63 studies in 60 patients. The driving ability assessment judged the patients as qualified or disqualified for commercial driving. MWT latencies to 3 s of alpha activity, 3 s of drowsiness (microsleep), and sleep onset were compared between qualified and disqualified patients and their validity to identify driving qualification was evaluated. Disqualified patients had shorter alpha, microsleep, and sleep latencies, but the latency distributions were widely overlapping. MWT accuracy to predict driving performance was poor: two thirds of short sleep latencies were false positives. Adding information from alpha and microsleep latencies added little extra accuracy. MWT results correlate poorly with driving performance in a 2-h test irrespective of sleep latency cutoff or added alpha/microsleep latency data. Better diagnostic tools are needed to evaluate driving performance in patients with EDS.

摘要

嗜睡驾驶是一个严重的道路安全问题。对于日间过度嗜睡(EDS)的患者,通常使用维持觉醒试验(MWT)来评估驾驶能力。然而,MWT 预测驾驶表现的证据很少,并且已经提出了几种睡眠潜伏期截止值。

我们基于 2006 年 1 月至 2014 年 11 月期间 MWT 和驾驶能力评估的回顾性图表分析,确定了 63 项研究中的 60 名患者。驾驶能力评估判断患者是否有资格从事商业驾驶。比较了合格和不合格患者的 3s 阿尔法活动、3s 嗜睡(微睡眠)和睡眠起始的 MWT 潜伏期,并评估了其识别驾驶资格的有效性。不合格患者的阿尔法、微睡眠和睡眠潜伏期较短,但潜伏期分布广泛重叠。MWT 预测驾驶表现的准确性较差:三分之二的短睡眠潜伏期是假阳性。添加来自阿尔法和微睡眠潜伏期的信息几乎没有增加额外的准确性。

无论睡眠潜伏期截止值或添加的阿尔法/微睡眠潜伏期数据如何,MWT 结果与 2 小时测试中的驾驶表现相关性都很差。需要更好的诊断工具来评估 EDS 患者的驾驶表现。

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