Arnaldi Dario, Terzaghi Michele, Cremascoli Riccardo, De Carli Fabrizio, Maggioni Giorgio, Pistarini Caterina, Nobili Flavio, Moglia Arrigo, Manni Raffaele
Clinical Neurology, Dept. of Neuroscience (DINOGMI), University of Genoa, Italy.
Sleep Medicine and Epilepsy Unit - C. Mondino National Neurological Institute, IRCCS, Pavia, Italy.
Clin Neurophysiol. 2016 Feb;127(2):1445-1451. doi: 10.1016/j.clinph.2015.10.042. Epub 2015 Nov 6.
This study aimed to evaluate, through polysomnographic analysis, the prognostic value of sleep patterns, compared to other prognostic factors, in patients with disorders of consciousness (DOCs) in the sub-acute phase.
Twenty-seven patients underwent 24-h polysomnography and clinical evaluation 3.5 ± 2 months after brain injury. Their clinical outcome was assessed 18.5 ± 9.9 months later. Polysomnographic recordings were evaluated using visual and quantitative indexes. A general linear model was applied to identify features able to predict clinical outcome. Clinical status at follow-up was analysed as a function of the baseline clinical status, the interval between brain injury and follow-up evaluation, patient age and gender, the aetiology of the injury, the lesion site, and visual and quantitative sleep indexes.
A better clinical outcome was predicted by a visual index indicating the presence of sleep integrity (p=0.0006), a better baseline clinical status (p=0.014), and younger age (p=0.031). Addition of the quantitative sleep index strengthened the prediction.
More structured sleep emerged as a valuable predictor of a positive clinical outcome in sub-acute DOC patients, even stronger than established predictors (e.g. age and baseline clinical condition).
Both visual and quantitative sleep evaluation could be helpful in predicting clinical outcome in sub-acute DOCs.
本研究旨在通过多导睡眠图分析,评估亚急性期意识障碍(DOC)患者的睡眠模式与其他预后因素相比的预后价值。
27例患者在脑损伤后3.5±2个月接受了24小时多导睡眠图检查和临床评估。18.5±9.9个月后评估他们的临床结局。使用视觉和定量指标评估多导睡眠图记录。应用一般线性模型来识别能够预测临床结局的特征。随访时的临床状态作为基线临床状态、脑损伤与随访评估之间的间隔、患者年龄和性别、损伤病因、病变部位以及视觉和定量睡眠指标的函数进行分析。
通过表明存在睡眠完整性的视觉指标(p=0.0006)、更好的基线临床状态(p=0.014)和较年轻的年龄(p=0.031)可预测更好的临床结局。添加定量睡眠指标增强了预测能力。
更有规律的睡眠成为亚急性DOC患者临床结局良好的有价值预测指标,甚至比既定的预测指标(如年龄和基线临床状况)更强。
视觉和定量睡眠评估都有助于预测亚急性DOC患者的临床结局。