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纤维肌痛症状群的纵向稳定性。

Longitudinal stability of fibromyalgia symptom clusters.

机构信息

Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.

Division of General Internal Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.

出版信息

Arthritis Res Ther. 2018 Feb 27;20(1):37. doi: 10.1186/s13075-018-1532-0.

DOI:10.1186/s13075-018-1532-0
PMID:29486783
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5830338/
Abstract

BACKGROUND

Using self-report questionnaires of key fibromyalgia symptom domains (pain, fatigue, sleep disturbance, function, stiffness, dyscognition, depression, and anxiety), we previously identified four unique symptom clusters. The purpose of this study was to examine the stability of fibromyalgia symptom clusters between baseline and 2-year follow-up.

METHODS

Women with a diagnosis of fibromyalgia completed the Brief Pain Inventory, Profile of Mood States, Medical Outcomes Study Sleep measure, Multidimensional Fatigue Inventory, Multiple Ability Self-Report Questionnaire, Revised Fibromyalgia Impact Questionnaire, and the 36-Item Short Form Survey Instrument at baseline. Follow-up measures were completed approximately 2 years later. The hierarchical agglomerative clustering algorithm previously developed was applied; agreement between baseline and follow-up was assessed with the κ statistic.

RESULTS

Among 433 participants, the mean age was 56 (range 20-85) years. The median Revised Fibromyalgia Impact Questionnaire total score was 57 (range 8-96). More than half of participants (58%) remained in the same cluster at follow-up as at baseline, which represented moderate agreement between baseline and follow-up (κ = 0.44, 95% confidence interval (CI) 0.37-0.50). Only two patients changed from high symptom intensity to low symptom intensity; similarly, only three moved from low to high.

CONCLUSIONS

Fibromyalgia patients classified into four unique symptom clusters based on the key domains of pain, fatigue, sleep disturbance, function, stiffness, dyscognition, depression, and anxiety showed moderate stability in cluster assignment after 2 years. Few patients moved between the two extremes of severity, and it was slightly more common to move to a lower symptom level than to worsen.

TRIAL REGISTRATION

Not applicable.

摘要

背景

我们先前使用关键纤维肌痛症状领域(疼痛、疲劳、睡眠障碍、功能、僵硬、认知障碍、抑郁和焦虑)的自我报告问卷,确定了四个独特的症状集群。本研究的目的是检查纤维肌痛症状集群在基线和 2 年随访之间的稳定性。

方法

患有纤维肌痛诊断的女性在基线时完成简短疼痛量表、情绪状态简表、医疗结局研究睡眠量表、多维疲劳量表、多项能力自我报告问卷、修订纤维肌痛影响问卷和 36 项简短健康调查问卷。约 2 年后完成随访测量。应用先前开发的层次凝聚聚类算法;采用κ统计量评估基线和随访之间的一致性。

结果

在 433 名参与者中,平均年龄为 56 岁(范围 20-85 岁)。修订纤维肌痛影响问卷总分为 57 分(范围 8-96 分)。超过一半的参与者(58%)在随访时仍处于与基线相同的集群,这表明基线和随访之间具有中度一致性(κ=0.44,95%置信区间[CI]0.37-0.50)。只有两名患者从高症状强度变为低症状强度;同样,只有三人从低到高。

结论

基于疼痛、疲劳、睡眠障碍、功能、僵硬、认知障碍、抑郁和焦虑等关键领域对纤维肌痛患者进行分类,分为四个独特的症状集群,在 2 年后集群分配上显示出中度稳定性。很少有患者在严重程度的两个极端之间移动,而且向较低症状水平移动比恶化更常见。

试验注册

不适用。

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OMERACT-based fibromyalgia symptom subgroups: an exploratory cluster analysis.基于OMERACT的纤维肌痛症状亚组:一项探索性聚类分析
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