Vaheb Saeed, Rajaei Ziba, Shaygannejad Vahid, Alaei Hojjatallah, Afshari-Safavi Alireza, Mirmosayyeb Omid
Department of Physiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Neurol Sci. 2025 Apr 25. doi: 10.1007/s10072-025-08193-9.
Multiple Sclerosis (MS) and Neuromyelitis Optica Spectrum Disorder (NMOSD) are both autoimmune inflammatory disorders affecting the central nervous system. Cognitive decline is a common symptom in both disorders, particularly affecting information processing speed (IPS). The current study investigated the association between IPS and clinical parameters in people with MS (PwMS) and NMOSD (PwNMOSD). A total of 945 participants were enrolled in the study, including 617 PwMS, 128 PwNMOSD, and 200 healthy controls. IPS was evaluated using the Symbol Digit Modalities Test (SDMT). Clinical, serological, and radiological factors were retrospectively collected. General Linear Model (GLM) was used for data analysis. Based on GLM multivariate analysis adjusted for age, sex, and educational level, a significant association was observed between IPS and Expanded Disability Status Scale (EDSS), disease progression, disease duration, brain atrophy, and brain lesion load in PwMS. Similarly, significant association was found between IPS and EDSS, Aquaporin-4 (AQP-4) antibody positivity, brain atrophy, and number of cervical lesions in PwNMOSD. This study confirms the association between IPS and key risk factors such as EDSS, brain atrophy, and lesion load in PwMS. Additionally, it reveals a link between IPS and new factors, including AQP-4 antibody positivity and cervical lesions in PwNMOSD. Furthermore, disease progression emerged as a significant factor affecting IPS in PwMS.
多发性硬化症(MS)和视神经脊髓炎谱系障碍(NMOSD)均为影响中枢神经系统的自身免疫性炎症性疾病。认知功能下降是这两种疾病的常见症状,尤其会影响信息处理速度(IPS)。本研究调查了多发性硬化症患者(PwMS)和视神经脊髓炎谱系障碍患者(PwNMOSD)的IPS与临床参数之间的关联。共有945名参与者纳入本研究,其中包括617名PwMS、128名PwNMOSD和200名健康对照者。使用符号数字模式测验(SDMT)评估IPS。回顾性收集临床、血清学和放射学因素。采用一般线性模型(GLM)进行数据分析。基于对年龄、性别和教育水平进行校正的GLM多变量分析,观察到PwMS的IPS与扩展残疾状态量表(EDSS)、疾病进展、病程、脑萎缩和脑病变负荷之间存在显著关联。同样,在PwNMOSD中,发现IPS与EDSS、水通道蛋白4(AQP - 4)抗体阳性、脑萎缩和颈部病变数量之间存在显著关联。本研究证实了PwMS中IPS与EDSS、脑萎缩和病变负荷等关键危险因素之间的关联。此外,还揭示了PwNMOSD中IPS与新因素之间的联系,包括AQP - 4抗体阳性和颈部病变。此外,疾病进展是影响PwMS患者IPS的一个重要因素。