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Self-report sleepiness measures, objective sleepiness measures and simulated driving performance in controls and patients with obstructive sleep apnea.

机译:对照和患有阻塞性睡眠呼吸暂停的患者的自我报告嗜睡测量,客观嗜睡测量和模拟驾驶表现。

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The ability of self-report and objective measures of sleepiness to predict performance on the York Driving Simulator was evaluated using two experimental protocols. The first study involved one night of prolonged wakefulness in 16 female participants, aged 18 to 19, who were tested at 2300, 0130, 0400 and 0630 hrs. Each test session consisted of the Stanford Sleepiness Scale, Multiple Sleep Latency Test, Repeated Test of Sustained Wakefulness, Alpha Attenuation Test, Four Choice Reaction Time Test, and a 30-minute simulated driving task during which continuous self-appraisals of sleepiness/alertness were made. As wakefulness was prolonged, participants showed signs of increasing sleepiness on each of the sleepiness measures, and progressive impairments in simulated driving performance. The group of objective sleepiness measures and the group of self-report sleepiness were equally effective predictors of simulated driving ability (R2 = 0.59 and R2 = 0.52, respectively). Further exploration of the association between each individual sleepiness measure and simulated driving ability showed that, although the Repeated Test of Sustained Wakefulness was generally the highest ranked predictor of simulated driving ability, its superiority was matched by self-report sleepiness measures (particularly the online self-appraisal of sleepiness/alertness) and the Multiple Sleep Latency Test. The self-awareness of sleepiness appears to be comparable to measures of physiological sleep tendency in predicting impairments in driving ability. The second study consisted of a pre/post treatment design in 18 patients, aged 28 to 78, who were diagnosed with obstructive sleep apnea. Study 2 was carried out in collaboration with Dr. Michael Fitzpatrick of the Sleep Disorders Laboratory at Kingston General Hospital, who was interested in comparing CPAP treatment outcomes when patients were treated with a laboratory-determined fixed pressure level compared with self-adjusted pressure levels. A randomized crossover design was used, consisting of two 5-week treatment limbs (fixed CPAP and self-adjusted CPAP) separated by a 1-week wash-out period. Patients were tested on four occasions, before and after each treatment limb, with each testing day consisting of the Epworth Sleepiness Scale, Stanford Sleepiness Scale, Maintenance of Wakefulness Test, Alpha Attenuation Test, and a 45-minute simulated driving task during which continuous self-appraisals of sleepiness/alertness were made. Treatment outcome (measured by self-reported sleepiness, physiological sleepiness, and simulated driving performance) did not differ significantly between the fixed versus self-adjusted CPAP limbs. The strongest predictors of simulated driving performance were the Maintenance of Wakefulness Test and the self-assessment of sleepiness/alertness while driving. However, there were no significant differences between the predictive ability of the self-report sleepiness measures and the objective sleepiness measures. The findings suggest that (1) self-titrated CPAP can produce treatment outcomes at least as good as those associated with traditional polysomnographic methods, (2) in patients with sleep apnea, simulated driving ability is predicted by both the Maintenance of Wakefulness Test and the self-assessment of sleepiness while driving.
机译:使用两个实验方案评估了自我报告的能力和客观的嗜睡性指标来预测约克驾驶模拟器的性能。第一项研究涉及18位至19岁的16位女性参与者的一整夜的长时间觉醒,他们在2300、0130、0400和0630小时进行了测试。每个测试环节包括斯坦福嗜睡量表,多次睡眠潜伏期测验,持续清醒的重复测验,阿尔法衰减测试,四项选择反应时间测验以及一个30分钟的模拟驾驶任务,在此过程中,我们对嗜睡/警觉性进行了持续的自我评估。制作。随着觉醒时间的延长,参与者在每种困倦措施中都表现出嗜睡增加的迹象,并且在模拟驾驶性能方面逐渐受到损害。客观困倦测量组和自我报告困倦组是模拟驾驶能力的有效预测指标(分别为R2 = 0.59和R2 = 0.52)。进一步研究每个嗜睡指标与模拟驾驶能力之间的关系表明,尽管“持续清醒的重复测试”通常是模拟驾驶能力的最高预测指标,但其优越性与自我报告的嗜睡衡量指标(尤其是在线自我)相匹配。 -嗜睡/警觉性评估)和多次睡眠潜伏期测试。在预测驾驶能力受损时,嗜睡的自我意识似乎可以与生理睡眠趋势的测量结果相提并论。第二项研究包括对18位年龄在28至78岁,被诊断为阻塞性睡眠呼吸暂停的患者进行治疗前/治疗后设计。研究2与金斯敦综合医院睡眠障碍实验室的迈克尔·菲茨帕特里克(Michael Fitzpatrick)博士合作进行,他对将患者接受实验室确定的固定压力水平与自行调节的压力水平进行比较时的CPAP治疗结果感兴趣。使用随机交叉设计,由两个5周的治疗肢体(固定的CPAP和自行调节的CPAP)组成,相隔1周的清除期。在每个治疗肢体前后,对患者进行了四次测试,每个测试日包括爱泼华嗜睡量表,斯坦福嗜睡量表,维持觉醒测试,阿尔法衰减测试和45分钟的模拟驾驶任务,在此过程中持续自我-进行困倦/警觉性评估。固定和自行调整的CPAP肢体的治疗结果(通过自我报告的嗜睡,生理性嗜睡和模拟驾驶表现来衡量)没有显着差异。模拟驾驶性能的最强预测指标是维持清醒测试和驾驶时的嗜睡/警觉性自我评估。然而,自我报告困倦措施的预测能力与客观困倦措施的预测能力之间没有显着差异。研究结果表明(1)自行调节的CPAP所产生的治疗效果至少与传统的多导睡眠监测方法相近;(2)在睡眠呼吸暂停患者中,通过维持清醒测试和保持睡眠状态可预测模拟驾驶能力驾驶时对困倦的自我评估。

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