Vakulin Andrew, Catcheside Peter G, Baulk Stuart D, Antic Nick A, Banks Siobhan, Dorrian Jillian, McEvoy R Doug
Adelaide Institute for Sleep Health, Repatriation General Hospital, Daws Road, Daw Park, Adelaide, Australia ; Sleep and Circadian Research Group and NHMRC Centre for Integrated Research and Understanding of Sleep (CIRUS), Woolcock Institute of Medical Research, Central Clinical School, University of Sydney, Australia ; Department of Medicine, Flinders University, Bedford Park, South Australia, Australia.
Adelaide Institute for Sleep Health, Repatriation General Hospital, Daws Road, Daw Park, Adelaide, Australia ; Department of Medicine, Flinders University, Bedford Park, South Australia, Australia.
J Clin Sleep Med. 2014 Jun 15;10(6):647-55. doi: 10.5664/jcsm.3792.
Obstructive sleep apnea (OSA) is associated with driving impairment and road crashes. However, daytime function varies widely between patients presenting a clinical challenge when assessing crash risk. This study aimed to determine the proportion of patients showing "normal" versus "abnormal" driving simulator performance and examine whether anthropometric, clinical, and neurobehavioral measures predict abnormal driving.
Thirty-eight OSA patients performed a 90-min simulated driving task under 3 conditions: normal sleep, restricted sleep (4 h in bed), and normal sleep + alcohol (BAC∼0.05 g/dL). Patients were classified as "resilient" drivers if, under all 3 experimental conditions their mean steering deviation fell within 2 standard deviations of the mean steering deviation of 20 controls driving under baseline normal sleep conditions, or a "vulnerable" driver if mean steering deviation was outside this range in at least one experimental condition. Potentially predictive baseline anthropometric, clinical, neurocognitive, and cortical activation measures were examined.
Of the 38 OSA patients examined, 23 (61%) and 15 (39%) were classified as resilient and vulnerable drivers, respectively. There were no differences in baseline measures between the groups, although the proportion of females was greater and self-reported weekly driving exposure was less among vulnerable drivers (p < 0.05). On univariate analysis gender, weekly driving hours, and auditory event related potential P2 amplitude were weakly associated with group status. Multivariate analysis showed weekly driving hours (OR 0.69, 95%CI, 0.51-0.94, p = 0.02) and P2 amplitude (OR 1.34, 95%CI 1.02-1.76, p = 0.035) independently predicted vulnerable drivers.
Most OSA patients demonstrated normal simulated driving performance despite exposure to further sleep loss or alcohol. Most baseline measures did not differentiate between resilient and vulnerable drivers, although prior driving experience and cortical function were predictive. Novel measures to assist identification of OSA patients at risk of driving impairment and possibly accidents are needed.
Data presented in this manuscript was collected as part of a clinical trial "Experimental Investigations of Driving Impairment in Obstructive Sleep Apnea." Trial ID: ACTRN12610000009011, URL: http://www.anzctr.org.au/trial_view.aspx?ID=334979.
阻塞性睡眠呼吸暂停(OSA)与驾驶能力受损和道路交通事故相关。然而,在评估事故风险时,患者的日间功能差异很大,这给临床带来了挑战。本研究旨在确定驾驶模拟器表现为“正常”与“异常”的患者比例,并研究人体测量学、临床和神经行为指标是否能预测异常驾驶情况。
38名OSA患者在三种条件下进行了90分钟的模拟驾驶任务:正常睡眠、睡眠受限(卧床4小时)以及正常睡眠+酒精(血液酒精浓度约为0.05g/dL)。如果在所有三种实验条件下,患者的平均转向偏差落在20名在基线正常睡眠条件下驾驶的对照组平均转向偏差的2个标准差范围内,则该患者被归类为“有弹性”的驾驶员;如果在至少一种实验条件下平均转向偏差超出此范围,则该患者被归类为“易受影响”的驾驶员。研究人员检查了可能具有预测性的基线人体测量学、临床、神经认知和皮质激活指标。
在接受检查的38名OSA患者中,分别有23名(61%)和15名(39%)被归类为有弹性和易受影响的驾驶员。两组之间的基线指标没有差异,不过易受影响的驾驶员中女性比例更高,且自我报告的每周驾驶时长更少(p<0.05)。单因素分析显示,性别、每周驾驶时长和听觉事件相关电位P2波幅与组别状态弱相关。多因素分析显示,每周驾驶时长(比值比0.69,95%置信区间,0.51 - 0.94,p = 0.02)和P2波幅(比值比1.34,95%置信区间1.02 - 1.76,p = 0.035)可独立预测易受影响的驾驶员。
尽管存在进一步的睡眠剥夺或饮酒情况,但大多数OSA患者的模拟驾驶表现正常。大多数基线指标无法区分有弹性和易受影响的驾驶员,不过既往驾驶经验和皮质功能具有预测性。需要新的措施来帮助识别有驾驶能力受损风险甚至可能发生事故的OSA患者。
本手稿中呈现的数据是作为一项临床试验“阻塞性睡眠呼吸暂停驾驶能力受损的实验研究”的一部分收集的。试验编号:ACTRN12610000009011,网址:http://www.anzctr.org.au/trial_view.aspx?ID=334979。