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多次睡眠潜伏期试验评分者间信度

Interrater reliability of the multiple sleep latency test.

作者信息

Benbadis S R, Qu Y, Perry M C, Dinner D S, Warnes H

机构信息

Department of Neurology, Cleveland Clinic Foundation, OH 44195, USA.

出版信息

Electroencephalogr Clin Neurophysiol. 1995 Oct;95(4):302-4. doi: 10.1016/0013-4694(95)00157-t.

DOI:10.1016/0013-4694(95)00157-t
PMID:8529561
Abstract

The purpose of this study was to evaluate interrater reliability in the interpretation of the multiple sleep latency test (MSLT). We prospectively analyzed MSLTs performed on 21 patients with excessive daytime sleepiness. MSLTs were recorded on Grass Model 78 polygraphs with EEG, electro-oculogram, and chin EMG. Each test was performed simultaneously at paper speeds of 10 and 30 mm/sec and was scored blindly by 3 readers using standard criteria. For the quantitative variable (sleep latency), a LISREL model was used. For the binary variable (REM present or not), a kappa coefficient was used. Interrater reliability of sleep latency was 0.850 at speed 10, and 0.884 at speed 30. There was no significant difference between speed 10 and 30. Interrater reliability for the presence or absence of REM was 0.515-0.563 at speed 10, and 0.447-0.525 at speed 30. On the MSLT, the estimation of sleep latency showed excellent consistency between different readers. The determination of the presence or absence of REM only showed fair to good agreement among observers. There was no significant difference between a paper speed of 10 vs. 30 mm/sec.

摘要

本研究的目的是评估多导睡眠潜伏期试验(MSLT)解读中的评分者间信度。我们前瞻性分析了对21例日间过度嗜睡患者进行的MSLT。MSLT使用Grass Model 78多导睡眠记录仪记录脑电图、眼电图和颏肌肌电图。每次测试同时以10和30毫米/秒的纸速进行,并由3名阅片者使用标准标准进行盲法评分。对于定量变量(睡眠潜伏期),使用LISREL模型。对于二元变量(是否存在快速眼动睡眠),使用kappa系数。睡眠潜伏期的评分者间信度在10毫米/秒时为0.850,在30毫米/秒时为0.884。10毫米/秒和30毫米/秒之间无显著差异。快速眼动睡眠存在与否的评分者间信度在10毫米/秒时为0.515 - 0.563,在30毫米/秒时为0.447 - 0.525。在MSLT上,不同阅片者对睡眠潜伏期的估计显示出极好的一致性。快速眼动睡眠存在与否的判定在观察者之间仅显示出一般到良好的一致性。10毫米/秒与30毫米/秒的纸速之间无显著差异。

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引用本文的文献

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Enhancements to the multiple sleep latency test.多次睡眠潜伏期试验的改进
Nat Sci Sleep. 2016 May 11;8:145-58. doi: 10.2147/NSS.S103596. eCollection 2016.