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使用三种经过验证的睡眠评估工具评估睡眠问题的程度及其与慢性疼痛严重程度的关系。

Extent of sleep problems and relationship with severity of chronic pain using three validated sleep assessment tools.

作者信息

Vaughan Rachel, Galley Helen F, Kanakarajan Saravana

机构信息

School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.

Department of Anaesthesia, NHS Grampian, Aberdeen, UK.

出版信息

Br J Pain. 2022 Jun;16(3):281-289. doi: 10.1177/20494637211054698. Epub 2021 Nov 12.

DOI:10.1177/20494637211054698
PMID:35646340
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9136990/
Abstract

OBJECTIVE

Chronic pain can impact on sleep, but the extent and nature of sleep problems in patients with chronic pain are incompletely clear. Several validated tools are available for sleep assessment but they each capture different aspects. We aimed to describe the extent of sleep issues in patients with chronic non-malignant pain using three different validated sleep assessment tools and to determine the relationship of sleep issues with pain severity recorded using the Brief Pain Inventory (BPI), a commonly used self-assessment tool in pain clinics. The BPI has a single question on the interference of pain on sleep and we also compared this with the validated sleep tools.

DESIGN

Prospective, cross-sectional study.

SETTING

Pain management clinic at a large teaching hospital in the United Kingdom.

SUBJECTS

Adult patients (with chronic non-malignant pain of at least 3 months' duration) attending clinic during a 2-month period.

METHODS

Participants completed the Pittsburgh Sleep Quality Index (PSQI), the Pain and Sleep Questionnaire-3 (PSQ-3) and the Verran Snyder-Halpern (VSH) sleep scale, plus the BPI. Duration and type of pain, current medications and demographic data were recorded.

RESULTS

We recruited 51 patients and 82% had poor sleep quality as shown by PSQIscores above five. PSQI ( = 0.0002), PSQ-3 ( = 0.0032), VSH sleep efficiency ( = 0.012), sleep disturbance ( = 0.0014) and waking after sleep onset ( = 0.0005) scores were associated with worse BPI pain scores. BPI sleep interference scores concurred broadly with the validated sleep tools. Median [range] sleep duration was 5.5 [3.0-10.0] hours and was also related to pain score ( = 0.0032).

CONCLUSION

Chronic pain has a marked impact on sleep regardless of the assessment tool used. The sleep interference question in the BPI could be used routinely for initial identification of sleep problems in patients with chronic pain.

摘要

目的

慢性疼痛会影响睡眠,但慢性疼痛患者睡眠问题的程度和性质尚不完全清楚。有几种经过验证的工具可用于睡眠评估,但它们各自捕捉的是不同方面。我们旨在使用三种不同的经过验证的睡眠评估工具来描述慢性非恶性疼痛患者的睡眠问题程度,并确定睡眠问题与使用简明疼痛量表(BPI)记录的疼痛严重程度之间的关系,BPI是疼痛诊所常用的自我评估工具。BPI有一个关于疼痛对睡眠干扰的单一问题,我们还将其与经过验证的睡眠工具进行了比较。

设计

前瞻性横断面研究。

地点

英国一家大型教学医院的疼痛管理诊所。

研究对象

在2个月期间到诊所就诊的成年患者(患有持续至少3个月的慢性非恶性疼痛)。

方法

参与者完成匹兹堡睡眠质量指数(PSQI)、疼痛与睡眠问卷-3(PSQ-3)和韦兰·斯奈德-哈尔彭(VSH)睡眠量表,以及BPI。记录疼痛的持续时间和类型、当前用药情况和人口统计学数据。

结果

我们招募了51名患者,PSQI评分高于5分表明82%的患者睡眠质量差。PSQI(=0.0002)、PSQ-3(=0.0032)、VSH睡眠效率(=0.012)、睡眠干扰(=0.0014)和睡眠开始后觉醒(=0.0005)评分与更差的BPI疼痛评分相关。BPI睡眠干扰评分与经过验证的睡眠工具大致一致。中位[范围]睡眠时间为5.5[3.0 - 10.0]小时,也与疼痛评分相关(=0.0032)。

结论

无论使用何种评估工具,慢性疼痛对睡眠都有显著影响。BPI中的睡眠干扰问题可常规用于慢性疼痛患者睡眠问题的初步识别。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8237/9136990/7386d90e3fc3/10.1177_20494637211054698-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8237/9136990/85f5e6306fa1/10.1177_20494637211054698-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8237/9136990/bd04ae6812d4/10.1177_20494637211054698-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8237/9136990/d633523d077a/10.1177_20494637211054698-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8237/9136990/d1ed7fe96bcc/10.1177_20494637211054698-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8237/9136990/7386d90e3fc3/10.1177_20494637211054698-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8237/9136990/85f5e6306fa1/10.1177_20494637211054698-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8237/9136990/bd04ae6812d4/10.1177_20494637211054698-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8237/9136990/d633523d077a/10.1177_20494637211054698-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8237/9136990/d1ed7fe96bcc/10.1177_20494637211054698-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8237/9136990/7386d90e3fc3/10.1177_20494637211054698-fig4.jpg

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