Tamires Tiemi Kishi, Monica Levy Andersen, Ygor Matos Luciano, Viviane Akemi Kakazu, Sergio Tufik, Gabriel Natan Pires
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Only studies with objective measures for REM sleep density analysis in individuals with depression were considered eligible. The final sample comprised 57 articles, covering 64 analyses of REM sleep density. The relative frequency methods were the predominant measurement parameter for analyzing REM sleep density across studies. The most frequently adopted REM estimation unit was the number of REM events followed by mini-epochs containing REM. The most common unit of measurement were frequency/time measures. The results demonstrate that there is no consistency in the methods used to calculate REM sleep density in the literature, and a high percentage of studies do not describe their methods in sufficient detail. The most used method was the number of REM episodes per minute of REM sleep, but its use is neither unanimous nor consensual. The methodological inconsistencies and omissions among studies limit the replicability, comparability, and clinical applicability of REM sleep density. 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引用次数: 0
摘要
快速眼动(REM)睡眠密度是用来解释快速眼动睡眠期间眼球运动量变化的参数。有人建议将快速眼动睡眠密度的变化作为抑郁症和其他精神疾病患者的筛查标准,但其准确性尚未得到适当评估。由于缺乏共识以及评分方法的多样性,降低了结果的外部有效性,阻碍了对其诊断准确性和临床适用性的充分分析。本范围综述旨在确定和量化用于评分快速动眼期睡眠密度的方法,并描述其主要特征。我们在 PubMed、Scopus、PsycInfo 和 Web of Science 上进行了文献检索。只有对抑郁症患者的快速动眼期睡眠密度进行客观分析的研究才符合条件。最终样本包括 57 篇文章,涉及 64 项快速动眼期睡眠密度分析。在所有研究中,相对频率法是分析快速眼动睡眠密度的主要测量参数。最常采用的快速动眼期估计单位是快速动眼期事件的数量,其次是包含快速动眼期的小节段。最常见的测量单位是频率/时间测量。研究结果表明,文献中用于计算快速眼动睡眠密度的方法并不一致,有很大比例的研究没有对其方法进行足够详细的描述。使用最多的方法是每分钟快速动眼期睡眠的快速动眼期发作次数,但这种方法的使用既不一致,也没有达成共识。研究方法的不一致和遗漏限制了快速动眼期睡眠密度的可复制性、可比性和临床适用性。未来的指南应讨论并纳入快速动眼期睡眠密度评分的具体方法,以便在临床服务和研究中得到一致认可。
Methods for REM Sleep Density Analysis: A Scoping Review.
Rapid eye movements (REM) sleep density is the parameter proposed to explain the variability in the amount of eye movements during REM sleep. Alterations in REM sleep density have been proposed as a screening criterion for individuals with depression and other mental health conditions, but its accuracy has not been properly evaluated. The lack of consensus and the variability of the methods used to score it reduces the external validity of the results, hindering an adequate analysis of its diagnostic accuracy and clinical applicability. This scoping review aimed to identify and quantify the methods used to score REM sleep density, describing their main characteristics. A literature search was conducted in PubMed, Scopus, PsycInfo, and Web of Science. Only studies with objective measures for REM sleep density analysis in individuals with depression were considered eligible. The final sample comprised 57 articles, covering 64 analyses of REM sleep density. The relative frequency methods were the predominant measurement parameter for analyzing REM sleep density across studies. The most frequently adopted REM estimation unit was the number of REM events followed by mini-epochs containing REM. The most common unit of measurement were frequency/time measures. The results demonstrate that there is no consistency in the methods used to calculate REM sleep density in the literature, and a high percentage of studies do not describe their methods in sufficient detail. The most used method was the number of REM episodes per minute of REM sleep, but its use is neither unanimous nor consensual. The methodological inconsistencies and omissions among studies limit the replicability, comparability, and clinical applicability of REM sleep density. Future guidelines should discuss and include a specific methodology for the scoring of REM sleep density, so it can be consensually implemented in clinical services and research.