Bianka Suchá, Pavel Šiarnik, Stela Biathová, Stanislava Klobucká, Žofia Rádiková, Katarína Klobučníková, Peter Turčáni, Branislav Kollár
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Plasma neurofilament light chain level (pNfL, a promising marker of neurodegeneration) was assessed. Variables in the CI vs. non-CI group were compared.</p><p><strong>Results: </strong>In cognition, we observed statistically significant differences between the CI and the non-CI group in multiple measures. In the degree of functional disability, we found statistically significant differences between the groups in all measures. However, we found no statistically significant differences in depression, pNfL, type of disease-modifying therapy, or education. The Digit Span Forward (longest line) (OR: 0.375, 95%CI: 0.156-0.901, p = 0.028) and Trail Making Test-B (OR: 0.066, 95%CI: 0.013-0.339, p = 0.001) were the only independent variables in a model that predicted CI in binary logistic regression analysis.</p><p><strong>Conclusion: </strong>Our cross-sectional study design failed to reveal the association of CI with various disease characteristics, or markers of neurodegeneration. 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引用次数: 0
摘要
背景:多发性硬化(MS)是一种影响中枢神经系统的疾病。其表现之一是认知障碍(CI),它会对MS患者的生活质量产生负面影响。本研究旨在探讨多发性硬化症患者CI的性质及其与各种疾病特征的关系。方法:符号数字模态测试和认知测试适用于斯洛伐克人口作为神经病学电池的一部分。对于抑郁症的评估,采用患者健康问卷-9。为了评估功能障碍的程度,使用了扩展残疾状态量表、定时25英尺步行和9孔Peg测试。评估血浆神经丝轻链水平(pNfL,一种有前途的神经变性标志物)。比较CI组和非CI组的变量。结果:在认知方面,我们观察到CI组与非CI组在多项测量中存在统计学差异。在功能障碍程度上,我们发现两组在所有测量指标上都有统计学上的显著差异。然而,我们发现在抑郁、pNfL、疾病改善治疗类型或教育方面没有统计学上的显著差异。在二元logistic回归分析中,数字跨距(最长线)(OR: 0.375, 95%CI: 0.156-0.901, p = 0.028)和Trail Making Test-B (OR: 0.066, 95%CI: 0.013-0.339, p = 0.001)是预测CI的模型中仅有的独立变量。结论:我们的横断面研究设计未能揭示CI与各种疾病特征或神经变性标志物的关联。为此,对pwMS的纵向观察和未来的前瞻性研究是非常必要的。
Disease characteristics and cognitive impairment in multiple sclerosis: A short-term observation is not enough.
Background: Multiple sclerosis (MS) is a disease that affects the central nervous system. One of its manifestations is cognitive impairment (CI), which can negatively affect the quality of life in people with MS (pwMS). This study aimed to investigate the nature of CI in MS and its associations with various disease characteristics.
Methods: Symbol Digit Modalities Test and cognitive tests adapted for the Slovak population as part of the NEUROPSY battery were used. For the assessment of depression, the Patient Health Questionnaire-9 was used. To assess the degree of functional disability, the Expanded Disability Status Scale, Timed 25-Foot Walk, and 9-Hole Peg Test were used. Plasma neurofilament light chain level (pNfL, a promising marker of neurodegeneration) was assessed. Variables in the CI vs. non-CI group were compared.
Results: In cognition, we observed statistically significant differences between the CI and the non-CI group in multiple measures. In the degree of functional disability, we found statistically significant differences between the groups in all measures. However, we found no statistically significant differences in depression, pNfL, type of disease-modifying therapy, or education. The Digit Span Forward (longest line) (OR: 0.375, 95%CI: 0.156-0.901, p = 0.028) and Trail Making Test-B (OR: 0.066, 95%CI: 0.013-0.339, p = 0.001) were the only independent variables in a model that predicted CI in binary logistic regression analysis.
Conclusion: Our cross-sectional study design failed to reveal the association of CI with various disease characteristics, or markers of neurodegeneration. For this purpose, longitudinal observation of pwMS, and future prospective studies are highly warranted.