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帕金森病中夜间睡眠功能障碍与疼痛亚型的关系。

Relationship of Nocturnal Sleep Dysfunction and Pain Subtypes in Parkinson's Disease.

作者信息

Martinez-Martin Pablo, Rizos Alexandra M, Wetmore John B, Antonini Angelo, Odin Per, Pal Suvankar, Sophia Rani, Carroll Camille, Martino Davide, Falup-Pecurariu Cristian, Kessel Belinda, Andrews Thomasin, Paviour Dominic, Trenkwalder Claudia, Chaudhuri Kallol Ray

机构信息

National Center of Epidemiology, Carlos III Institute of Health Madrid Spain.

Center for Networked Biomedical Research in Neurodegenerative Diseases (CIBERNED), Carlos III Institute of Health Madrid Spain.

出版信息

Mov Disord Clin Pract. 2018 Nov 8;6(1):57-64. doi: 10.1002/mdc3.12694. eCollection 2019 Jan.

Abstract

BACKGROUND

Little research has been conducted regarding the relationship between sleep disorders and different pain types in Parkinson's disease (PD).

OBJECTIVE

To explore the influence of the various pain subtypes experienced by PD patients on sleep.

METHODS

Three hundred consecutive PD patients were assessed with the PD Sleep Scale-Version 2 (PDSS-2), King's PD Pain Scale (KPPS), King's PD Pain Questionnaire (KPPQ), Visual Analog Scales for Pain (VAS-Pain), and Hospital Anxiety and Depression Scale.

RESULTS

According to the PDSS-2, 99.3% of our sample suffered from at least one sleep issue. Those who reported experiencing any modality of pain suffered significantly more from sleep disorders than those who did not (all,  < 0.003). The PDSS-2 showed moderate-to-high correlations with the KPPS (r = 0.57), KPPQ (0.57), and VAS-Pain (0.35). When PDSS-2 items 10 to 12 (pain-related) were excluded, the correlation values decreased to 0.50, 0.51, and 0.28, respectively, while these items showed moderate-to-high correlations with KPPS (0.56), KPPQ (0.54), and VAS-Pain (0.42). Among the variables analyzed, multiple linear regression models suggested that KPPS and KPPQ were the most relevant predictors of sleep disorders (as per the PDSS-2), although following exclusion of PDSS-2 pain items, depression was the relevant predictor. Depression and anxiety were the most relevant predictors in the analysis involving the VAS-Pain. Regression analysis, considering only the KPPS domains, showed that nocturnal and musculoskeletal pains were the best predictors of overall nocturnal sleep disorder.

CONCLUSIONS

Pain showed a moderate association with nocturnal sleep dysfunction in PD. Some pain subtypes had a greater effect on sleep than others.

摘要

背景

关于帕金森病(PD)睡眠障碍与不同疼痛类型之间的关系,相关研究较少。

目的

探讨帕金森病患者经历的各种疼痛亚型对睡眠的影响。

方法

连续纳入300例帕金森病患者,采用帕金森病睡眠量表第2版(PDSS-2)、国王帕金森病疼痛量表(KPPS)、国王帕金森病疼痛问卷(KPPQ)、视觉模拟疼痛量表(VAS-Pain)以及医院焦虑抑郁量表进行评估。

结果

根据PDSS-2,我们样本中的99.3%至少存在一种睡眠问题。报告经历任何疼痛形式的患者比未经历疼痛的患者睡眠障碍问题严重得多(所有P值均<0.003)。PDSS-2与KPPS(r = 0.57)、KPPQ(0.57)和VAS-Pain(0.35)呈中度至高度相关。当排除PDSS-2的第10至12项(与疼痛相关)时,相关值分别降至0.50、0.51和0.28,而这些项目与KPPS(0.56)、KPPQ(0.54)和VAS-Pain(0.42)呈中度至高度相关。在分析的变量中,多元线性回归模型表明,KPPS和KPPQ是睡眠障碍(根据PDSS-2)的最相关预测因素,尽管排除PDSS-2疼痛项目后,抑郁是相关预测因素。在涉及VAS-Pain的分析中,抑郁和焦虑是最相关的预测因素。仅考虑KPPS领域的回归分析表明,夜间疼痛和肌肉骨骼疼痛是总体夜间睡眠障碍的最佳预测因素。

结论

疼痛与帕金森病患者的夜间睡眠功能障碍呈中度关联。某些疼痛亚型对睡眠的影响比其他亚型更大。

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