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改善免疫介导性神经病的疲劳评估:改良的 Rasch 构建疲劳严重程度量表。

Improving fatigue assessment in immune-mediated neuropathies: the modified Rasch-built fatigue severity scale.

机构信息

Department of Neurology, Erasmus Medical Centre Rotterdam, Rotterdam, The Netherlands.

出版信息

J Peripher Nerv Syst. 2009 Dec;14(4):268-78. doi: 10.1111/j.1529-8027.2009.00238.x.

Abstract

Fatigue is a major disabling complaint in patients with immune-mediated neuropathies (IN). The 9-item fatigue severity scale (FSS) has been used to assess fatigue in these conditions, despite having limitations due to its classic ordinal construct. The aim was to improve fatigue assessment in IN through evaluation of the FSS using a modern clinimetric approach [Rasch unidimensional measurement model (RUMM2020)]. Included were 192 stable patients with Guillain-Barré syndrome (GBS), chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) or polyneuropathy associated with monoclonal gammopathy of undetermined significance (MGUSP). The obtained FSS data were exposed to RUMM2020 model to investigate whether this scale would meet its expectations. Also, reliability and validity studies were performed. The original FSS did not meet the Rasch model expectations, primarily based on two misfitting items, one of these also showing bias towards the factor 'walking independent.' After removing these two items and collapsing the original 7-point Likert options to 4-point response categories for the remaining items, we succeeded in constructing a 7-item Rasch-built scale that fulfilled all requirements of unidimensionality, linearity, and rating scale model. Good reliability and validity were also obtained for the modified FSS scale. In conclusion, a 7-item linearly weighted Rasch-built modified FSS is presented for more proper assessment of fatigue in future studies in patients with immune-mediated neuropathies.

摘要

疲劳是免疫介导性神经病(IN)患者的主要致残主诉。尽管 9 项疲劳严重程度量表(FSS)具有经典的有序结构限制,但仍被用于评估这些疾病中的疲劳。目的是通过使用现代临床计量学方法[Rasch 单维测量模型(RUMM2020)]评估 FSS,从而改善 IN 中的疲劳评估。纳入了 192 例稳定的吉兰-巴雷综合征(GBS)、慢性炎症性脱髓鞘性多发性神经病(CIDP)或与意义未明的单克隆免疫球蛋白相关的多发性神经病(MGUSP)患者。对获得的 FSS 数据进行 RUMM2020 模型分析,以调查该量表是否符合预期。同时还进行了可靠性和有效性研究。原始 FSS 主要基于两个拟合不良的项目,不符合 Rasch 模型的预期,其中一个项目也显示出对“独立行走”因子的偏差。在删除这两个项目并将原始 7 点 Likert 选项合并为 4 点反应类别后,我们成功构建了一个 7 项基于 Rasch 的量表,满足了单维性、线性和评分量表模型的所有要求。改良后的 FSS 量表也具有良好的可靠性和有效性。总之,提出了一个 7 项线性加权的 Rasch 构建的改良 FSS,以便在未来的免疫介导性神经病患者研究中更恰当地评估疲劳。

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