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Comparison between automatic and visual scorings of REM sleep without atonia for the diagnosis of REM sleep behavior disorder in Parkinson disease

机译:REM睡眠自动和视觉扫描之间的比较,无Adia在帕金森病中诊断REM睡眠行为障碍的诊断

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ABSTRACT: Study Objectives: To compare three different methods, two visual and one automatic, for the quantification of rapid eye movement (REM) sleep without atonia (RSWA) in the diagnosis of REM sleep behavior disorder (RBD) in Parkinson's disease (PD) patients. Methods: Sixty-two consecutive patients with idiopathic PD underwent video-polysomnographic recording and showed more than 5 minutes of REM sleep. The electromyogram during REM sleep was analyzed by means of two visual methods (Montréal and SINBAR) and one automatic analysis (REM Atonia Index or RAI). RBD was diagnosed according to standard criteria and a series of diagnostic accuracy measures were calculated for each method, as well as the agreement between them. Results: RBD was diagnosed in 59.7% of patients. The accuracy (85.5%), receiver operating characteristic (ROC) area (0.833) and Cohen's K coefficient (0.688) obtained with RAI were similar to those of the visual parameters. Visual tonic parameters, alone or in combination with phasic activity, showed high values of accuracy (93.5-95.2%), ROC area (0.92-0.94), and Cohen's K (0.862-0.933). Similarly, the agreement between the two visual methods was very high, and the agreement between each visual methods and RAI was substantial. Visual phasic measures alone performed worse than all the other measures. Conclusion: The diagnostic accuracy of RSWA obtained with both visual and automatic methods was high and there was a general agreement between methods. RAI may be used as the first line method to detect RSWA in the diagnosis of RBD in PD, together with the visual inspection of video-recorded behaviors, while the visual analysis of RSWA might be used in doubtful cases.
机译:摘要:研究目标:比较三种不同的方法,两个视觉和一个自动,用于量化快速眼球运动(REM)睡眠,没有Adonia(RSWA)在帕金森病(PD)中的REM睡眠行为障碍(RBD)的诊断中耐心。方法:六十二次连续发作性PD患者进行视频多瘤录制,并显示超过5分钟的REM睡眠。通过两种可视方法(MONTRÉAL和SINBAR)分析REM睡眠期间的电灰度图和一个自动分析(REM ATONIA指数或RAI)。根据标准标准诊断RBD,针对每种方法以及它们之间的协议计算了一系列诊断准确措施。结果:RBD被诊断为59.7%的患者。用RAI获得的精度(85.5%),接收器操作特征(ROC)和COHEN的K系数(0.688)与视觉参数的相似。视觉滋补参数,单独或与相位活动组合,显示出高精度(93.5-95.2%),ROC区域(0.92-0.94)和Cohen的K(0.862-0.933)。同样,两种视觉方法之间的协议非常高,每种视觉方法和rai之间的协议很大。单独的视觉相位措施比所有其他措施更差。结论:具有视觉和自动方法的RSWA的诊断准确性高,方法之间存在一般同意。 RAI可以用作检测RSWA在PD中RBD诊断中的第一线方法,以及视频记录行为的目视检查,而RSWA的视觉分析可能用于令人满意的情况。

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