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嗜睡量表是否适用于脑卒中患者?

Is the Epworth sleepiness scale suitable for use in stroke?

机构信息

Lancashire Teaching Hospitals NHS Foundation Trust, Preston, UK The Walton Centre NHS Foundation Trust, Liverpool, UK.

出版信息

Top Stroke Rehabil. 2013 Nov-Dec;20(6):493-9. doi: 10.1310/tsr2006-493.

Abstract

BACKGROUND

The Epworth Sleepiness Scale (ESS-8) is frequently used in stroke but has never been validated for this condition. There is concern regarding the suitability of the driving item (item 8). A summed raw score of 10 or more (from a maximum of 24) signifies pathological sleepiness.

OBJECTIVE

To determine the construct validity of the ESS-8 by Rasch analysis and in particular to determine whether omission of item 8 confounds the scale.

METHOD

A pack containing the ESS-8 and questions regarding sleep and demographics was sent to 999 patients who had experienced a stroke within the past 4 years. Data were assessed for fit to the Rasch model.

RESULTS

Analysis of 269 records revealed a unidimensional scale that was free from differential item functioning by age and sex with good overall fit to the Rasch model. Item 4 had disordered thresholds. Analysis of the ESS without item 8 (ESS-7) also revealed a valid scale. Equating person locations between the ESS-8 and ESS-7 showed no differences below a summed raw score of 18.

CONCLUSION

The ESS-8 has good construct validity for use in stroke and is reliable at the cutpoint of 10. Summed raw scores below 18 will be unaffected if nondrivers either score as zero or simply omit item 8. The scale is therefore robust for detecting cases of pathological sleepiness in stroke but may not be suitable for measuring high levels of sleepiness in a sample containing both drivers and nondrivers. Instead, the ESS-7 could be used for this purpose.

摘要

背景

Epworth 嗜睡量表(ESS-8)常用于中风患者,但从未对此类患者进行验证。人们担心驾驶项目(第 8 项)是否合适。原始总分达到 10 或以上(满分 24 分)表明存在病理性嗜睡。

目的

通过 Rasch 分析确定 ESS-8 的结构效度,特别是确定删除第 8 项是否会混淆量表。

方法

向 999 名过去 4 年内发生过中风的患者发送包含 ESS-8 以及睡眠和人口统计学问题的问卷包。对数据进行 Rasch 模型适配性评估。

结果

对 269 份记录的分析显示,该量表具有一维性,且不受年龄和性别的差异影响,总体上符合 Rasch 模型。第 4 项的阈值存在紊乱。不包含第 8 项的 ESS-8(ESS-7)分析也揭示了一个有效的量表。在 ESS-8 和 ESS-7 之间进行等比定位,总分低于 18 时没有差异。

结论

ESS-8 具有良好的结构效度,可用于中风患者,且在 10 分的截断值处具有可靠性。如果非驾驶员的分数为零或直接删除第 8 项,总分低于 18 不会受到影响。因此,该量表可用于检测中风患者的病理性嗜睡病例,但可能不适用于包含驾驶员和非驾驶员的样本中测量较高水平的嗜睡。在这种情况下,可使用 ESS-7 进行测量。

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