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简短的、自我报告的纤维肌痛筛查器在慢性疼痛患者样本中的评估。

Brief, self-report fibromyalgia screener evaluated in a sample of chronic pain patients.

机构信息

Department of Anesthesiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

出版信息

Pain Med. 2013 May;14(5):730-5. doi: 10.1111/pme.12114. Epub 2013 Apr 11.

Abstract

OBJECTIVE

To validate a self-report fibromyalgia screener in a chronic pain population.

DESIGN

Adults with chronic pain were evaluated with a six-item, self-report fibromyalgia screening tool based on revised American College of Rheumatology (ACR) fibromyalgia diagnostic criteria, with fibromyalgia diagnosed when patients experienced chronic pain and scored ≥13 on the ACR fibromyalgia symptom severity scale. Patients were independently assigned clinical diagnoses by treating clinicians.

SETTING

University-based, tertiary care pain clinic.

SUBJECTS

Three hundred thirty-seven mixed chronic pain patients.

RESULTS

Agreement between the clinical diagnosis and screener diagnosis was good (P < 0.001), with 76% sensitivity and 82% specificity.

CONCLUSION

A self-administered, brief fibromyalgia screening questionnaire can effectively identify chronic pain patients who will likely have clinical fibromyalgia.

摘要

目的

在慢性疼痛人群中验证一种自我报告的纤维肌痛筛查工具。

设计

对慢性疼痛患者进行评估,采用基于修订后的美国风湿病学会(ACR)纤维肌痛诊断标准的六项目自我报告纤维肌痛筛查工具,当患者经历慢性疼痛且 ACR 纤维肌痛症状严重程度量表得分为≥13 分时诊断为纤维肌痛。由治疗临床医生为患者独立分配临床诊断。

地点

大学附属、三级护理疼痛诊所。

受试者

337 例混合慢性疼痛患者。

结果

临床诊断和筛查诊断之间具有良好的一致性(P<0.001),具有 76%的敏感性和 82%的特异性。

结论

自我管理的简短纤维肌痛筛查问卷可有效识别可能患有临床纤维肌痛的慢性疼痛患者。

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Do sleep disorders contribute to pain sensitivity?睡眠障碍是否会导致痛觉敏感?
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