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重症肌无力患者的疲劳

Fatigue in Myasthenia Gravis patients.

作者信息

Kittiwatanapaisan Waraluk, Gauthier Dorothy K, Williams Anne M, Oh Shin J

机构信息

University of Alabama School of Nursing, University of Alabama, Birmingham, USA.

出版信息

J Neurosci Nurs. 2003 Apr;35(2):87-93, 106. doi: 10.1097/01376517-200304000-00004.

DOI:10.1097/01376517-200304000-00004
PMID:12795035
Abstract

The purposes of this study were to validate psychometric properties of the Myasthenia Gravis Fatigue Scale (MGFS) and to use the MGFS to study the relationship of selected demographic and clinical variables to fatigue in a myasthenia gravis (MG) patient population. The MGFS, an existing scale, was developed to measure fatigue severity in MG patients. A convenience sample of 67 MG patients was approached on return visit to the Neuromuscular Disease Clinic. After giving consent, participants filled out four questionnaires: the MGFS, the Chalder Fatigue Scale, the Center for Epidemiologic Studies-Depression Scale, and a Demographic and Clinical Data Form. Participants' muscle weakness was evaluated using the Modified Quantitative MG Score for Disease Severity assessment form (13 muscles tested). Three days after the clinic visit, a copy of the MGFS was mailed to participants to allow retest at 5 to 7 days after initial testing. Findings showed that the MGFS demonstrated adequate internal consistency and test-retest reliability. In addition, the fatigue severity (MGFS) score correlated moderately with depression. We adjusted for the effect of depression and noted a relationship between the fatigue score and two of nine selected demographic and clinical characteristics--activity restriction and number of years since diagnosis. These results lay the groundwork for further investigation of fatigue in MG patients and identification of mitigating or coping methods.

摘要

本研究的目的是验证重症肌无力疲劳量表(MGFS)的心理测量特性,并使用MGFS研究选定的人口统计学和临床变量与重症肌无力(MG)患者群体疲劳之间的关系。MGFS是一个现有的量表,用于测量MG患者的疲劳严重程度。在神经肌肉疾病诊所复诊时,选取了67名MG患者作为便利样本。在获得同意后,参与者填写了四份问卷:MGFS、查尔德疲劳量表、流行病学研究中心抑郁量表以及一份人口统计学和临床数据表格。使用改良定量MG疾病严重程度评估量表(测试13块肌肉)对参与者的肌肉无力情况进行评估。在诊所就诊三天后,将MGFS的副本邮寄给参与者,以便在初次测试后5至7天进行重新测试。结果表明,MGFS具有足够的内部一致性和重测信度。此外,疲劳严重程度(MGFS)得分与抑郁呈中度相关。我们对抑郁的影响进行了校正,并注意到疲劳得分与九个选定的人口统计学和临床特征中的两个特征——活动受限和诊断后的年数之间存在关联。这些结果为进一步研究MG患者的疲劳以及确定缓解或应对方法奠定了基础。

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引用本文的文献

1
Fatigue and associated factors in myasthenia gravis: a nationwide registry study.重症肌无力疲劳及其相关因素:一项全国登记研究。
J Neurol. 2024 Aug;271(8):5665-5670. doi: 10.1007/s00415-024-12490-2. Epub 2024 Jun 13.
2
Development of the Myasthenia Gravis (MG) Symptoms PRO: a case study of a patient-centred outcome measure in rare disease.重症肌无力(MG)症状 PRO 的开发:以患者为中心的罕见病结局衡量标准的案例研究。
Orphanet J Rare Dis. 2021 Oct 30;16(1):457. doi: 10.1186/s13023-021-02064-0.
3
Fatigue in patients with myasthenia gravis.
重症肌无力患者的疲劳。
J Neurol. 2018 Oct;265(10):2312-2321. doi: 10.1007/s00415-018-8995-4. Epub 2018 Aug 11.
4
Concomitant presentation of Anderson-Tawil syndrome and myasthenia gravis in an adult patient: A case report.成年患者安德森-陶威尔综合征与重症肌无力并存:一例报告
Exp Ther Med. 2016 Oct;12(4):2435-2438. doi: 10.3892/etm.2016.3673. Epub 2016 Sep 6.
5
Fatigue in myasthenia gravis: is it more than muscular weakness?重症肌无力中的疲劳:仅仅是肌肉无力那么简单吗?
BMC Neurol. 2013 Oct 3;13:132. doi: 10.1186/1471-2377-13-132.
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Demographic correlates of fatigue in the US general population: results from the patient-reported outcomes measurement information system (PROMIS) initiative.美国普通人群疲劳的人口统计学相关性:来自患者报告的结果测量信息系统(PROMIS)倡议的结果。
J Psychosom Res. 2011 Sep;71(3):117-23. doi: 10.1016/j.jpsychores.2011.04.007. Epub 2011 Jul 18.