Department of Neurology, Brugmann University Hospital, Université Libre de Bruxelles, Place A.Van Gehuchten 4, 1020, Brussels, Belgium.
Acta Neurol Belg. 2023 Dec;123(6):2147-2153. doi: 10.1007/s13760-022-02127-4. Epub 2022 Nov 9.
Multiple sclerosis (MS) is associated with high prevalence of cognitive impairment, ranging from 40 to 80%. The purpose of this single-center retrospective study was to examine the relation between cognitive function, as measured by Symbol Digit Modalities Test (SDMT), with fatigue, anxiety, and depression symptoms in a Belgian cohort of patients with MS.
Sociodemographic and clinical data were analyzed in 66 (F:40, M:26) Belgian patients with a diagnosis of MS. The cognitive function was assessed with the oral version of SDMT, depression and anxiety symptoms with the Hospital Anxiety and Depression scale (HAD), fatigue symptoms with the French valid version of the Fatigue Impact Scale in MS (EMIF-SEP), which is a scale composed of four dimensions (cognitive, physical, social, and psychological) allowing a multidimensional evaluation of fatigue.
The multivariate linear regression analysis demonstrated that lower SDMT scores were associated with higher EDSS score and psychological dimension of fatigue symptoms. No association were found between SDMT and anxiety or depression symptoms. Conversely, higher depression and anxiety symptoms were associated with higher total fatigue symptoms, but lower physical dimension of fatigue symptoms. Higher anxiety symptoms were also independently associated with higher social dimension of fatigue symptoms.
A complex relationship exists between cognitive performance, fatigue, and neuropsychiatric symptoms in Belgian people with MS. The level of disability and fatigue adversely affects the cognitive function in MS, whereas depression and anxiety seem to not have a significant effect. A more complex relationship exists between fatigue and neuropsychiatric symptoms, with a divergent interplay between the different dimensions of fatigue that supports the multidimensional approach to assessing fatigue in MS.
多发性硬化症(MS)与认知障碍的高患病率相关,范围为 40%至 80%。本单中心回顾性研究的目的是在比利时 MS 患者队列中,检查认知功能(通过符号数字模态测验(SDMT)测量)与疲劳、焦虑和抑郁症状之间的关系。
分析了 66 名(女性 40 名,男性 26 名)比利时 MS 患者的社会人口统计学和临床数据。认知功能通过 SDMT 的口头版本进行评估,抑郁和焦虑症状通过医院焦虑和抑郁量表(HAD)进行评估,疲劳症状通过法国 MS 有效疲劳影响量表(EMIF-SEP)进行评估,这是一个由四个维度(认知、身体、社会和心理)组成的量表,允许对疲劳进行多维评估。
多元线性回归分析表明,较低的 SDMT 分数与较高的 EDSS 评分和疲劳症状的心理维度相关。SDMT 与焦虑或抑郁症状之间没有关联。相反,较高的抑郁和焦虑症状与更高的总疲劳症状相关,但与较低的身体维度疲劳症状相关。较高的焦虑症状也与更高的社会维度疲劳症状独立相关。
在比利时 MS 患者中,认知表现、疲劳和神经精神症状之间存在复杂的关系。残疾程度和疲劳水平会对 MS 患者的认知功能产生不利影响,而抑郁和焦虑似乎没有显著影响。疲劳和神经精神症状之间存在更复杂的关系,不同维度的疲劳之间存在不同的相互作用,这支持了 MS 疲劳评估的多维方法。