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通过精制和简化的复合自主症状评分评估纤维肌痛自主功能障碍的主要成分。

The Principal Components of Autonomic Dysfunction in Fibromyalgia Assessed by the Refined and Abbreviated Composite Autonomic Symptom Score.

机构信息

Faculty of Health and Wellbeing, University of Winchester, Winchester, Hampshire SO22 4NR, UK.

Department of Medicine, University of Southampton, Southampton SO17 1BJ, UK.

出版信息

Rev Recent Clin Trials. 2023;18(2):140-145. doi: 10.2174/1574887118666230315120413.

Abstract

BACKGROUND

We have recently confirmed that non-pain autonomic dysfunction symptoms occur in fibromyalgia and can be assessed with the 31-item Composite Autonomic Symptom Score (COMPASS 31) instrument. Fibromyalgia patients have been found to have higher scores than matched controls across all six domains of this instrument.

OBJECTIVES

To analyse the principal components of the autonomic COMPASS 31 domain scores in fibromyalgia patients to understand better the fundamental dimensions of dysautonomia in this disorder.

METHODS

A principal component analysis of fibromyalgia autonomic domain scores was carried out using a varimax orthogonal rotation with decomposition being based on the correlation matrix and setting a threshold of greater than one for the eigenvalues.

RESULTS

Three mutually orthogonal principal components, accounting for over 80% of the total variance, were identified. The first was a function of the secretomotor, orthostatic intolerance and pupillomotor domains; the second was a function of the vasomotor and urinary bladder domains; and the third was a function of the gastrointestinal and orthostatic intolerance domains. There was a positive correlation between symptom domain scores of the Revised Fibromyalgia Impact Questionnaire and the first principal component scores (r = 0.536, p = 0.006).

CONCLUSION

This analysis has reduced the dimensionality of autonomic dysfunction in fibromyalgia patients from six to three. The internal structure of the fibromyalgia dysautonomia data reflected by these results may help in the elucidation of the aetiology of this complex and difficult-to-treat disorder.

摘要

背景

我们最近证实,纤维肌痛症患者会出现非疼痛自主神经功能障碍症状,并且可以使用 31 项综合自主症状评分(COMPASS 31)量表进行评估。与匹配对照组相比,纤维肌痛症患者在该量表的所有六个领域的得分都更高。

目的

分析纤维肌痛症患者自主 COMPASS 31 域评分的主要成分,以更好地了解该疾病中自主神经功能障碍的基本维度。

方法

使用方差极大正交旋转的主成分分析对纤维肌痛症自主神经域评分进行分析,分解基于相关矩阵,并为特征值设置大于一的阈值。

结果

确定了三个相互正交的主要成分,占总方差的 80%以上。第一个主要成分是分泌运动、直立不耐受和瞳孔运动功能的函数;第二个主要成分是血管运动和膀胱功能的函数;第三个主要成分是胃肠和直立不耐受功能的函数。修订后的纤维肌痛影响问卷的症状域评分与第一主成分评分之间存在正相关(r = 0.536,p = 0.006)。

结论

该分析将纤维肌痛症患者的自主神经功能障碍的维度从六个减少到三个。这些结果反映的纤维肌痛症自主神经功能障碍数据的内部结构可能有助于阐明这种复杂且难以治疗的疾病的病因。

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