Objective:To analyze the immunology-related risk factors for short-term prognosis in patients with demyelinating diseases of central nervous system, and to evaluate their predictive value.Methods:From January 2012 to October 2022 in Beijing Tiantan Hospital of Capital Medical University and General Hospital of Tianjin Medical University, the clinical data of 362 patients with demyelinating diseases of central nervous system were analyzed, including neuromyelitis optic spectrum disease (NMOSD) 181 cases, multiple sclerosis (MS) 129 cases, anti-myelin oligodendrocyte glycoprotein antibody associated disease (MOGAD) 38 cases, acute disseminated encephalomyelopathy (ADEM) 14 cases. According to the expanded disability status scale (EDSS) score at discharge, the patients were divided into good prognosis group (EDSS≤3 scores, 267 cases) and poor prognosis group (EDSS>3 scores, 95 cases). The clinical data, admission severity (admission EDSS score), treatment, autoantibodies and immunoglobulin level and serum inflammatory factor level were compared between two groups. Multivariate Logistic regression was used to analyze the independent risk factors of short-term prognosis in patients with demyelinating diseases of central nervous system; and the predictive efficacy was evaluated by receiver operating characteristic (ROC) curve.Results:Compared with the good prognosis group, the admission EDSS score in the poor prognosis group was significantly higher: 2.5 (1.5) scores vs. 6.5 (3.5) scores. The positive rates of autoimmune disease-related antibody, systemic autoantibody, anti-nuclear antibody, anti-extractable nuclear antigen antibody, thyroid peroxidase antibody and thyroid globulin antibody were significantly higher: 89.5% (85/95) vs. 59.6% (159/267), 75.8% (72/95) vs. 52.1% (139/267), 65.3% (62/95) vs. 38.6% (103/267), 42.1% (40/95) vs. 23.2% (62/267), 40.0% (38/95) vs. 19.1% (51/267) and 42.1% (40/95) vs. 19.9% (53/267). The serum IgM was significantly lower: 0.84 (0.78) g/L vs. 1.00 (0.75) g/L. The serum tumor necrosis factor-α, interleukin-2 receptor and cerebrospinal fluid IgG were significantly higher: 8 055 (3 118) pg/L vs. 6 830 (3 515) pg/L, 348 (175) kU/L vs. 314 (146) kU/L and 47.50 (46.50) g/L vs. 33.00 (24.00) g/L. And there were statistical differences ( P<0.01 or <0.05). Multivariate Logistic regression analysis result showed that the admission EDSS score and anti-nuclear antibody positive were the independent risk factors of short-term prognosis in patients with demyelinating diseases of central nervous system ( OR = 5.034 and 6.942, 95% CI 3.289 to 7.705 and 2.250 to 21.422, P<0.01). ROC curve analysis result showed that the area under the curve of anti-nuclear antibody positive combined with admission EDSS score predicted the short-term prognosis in patients with demyelinating diseases of central nervous system was 0.972, with a sensitivity of 90.5%, and a specificity of 92.5%. Conclusions:The admission EDSS score and anti-nuclear antibody positive are the independent risk factors for poor prognosis in patients with demyelinating diseases of central nervous system. And the combination of two indexes can better predict the short-term prognosis.

Objective:To identify the potential intracranial inflammation in neuromyelitis optica spectrum disorders(NMOSD) patients without supratentorial MRI lesions using quantitative susceptibility mapping (QSM).Methods:Seventy NMOSD patients and 35 age- and gender-matched healthy controls (NC) underwent QSM, 3D-T 1, diffusion MRI from Beijing Tiantan Hospital during June 2019 to June 2021. Susceptibility was compared among NMOSD patients with acute attack (ANMOSD), NMOSD patients in chronic phase (CNMOSD) and NC. The correlation between susceptibility in several brain regions and the cerebrospinal fluid levels of inflammatory makers were analyzed. Results:NMOSD patients showed different susceptibility in several brain regions including bilateral hippocampus, precuneus, right cuneus, putamen, superior parietal and inferior temporal ( P<0.001) and the posr-hoc showed it is higher than normal. Compared to CNMOSD patients, the ANMOSD patients showed increased susceptibility in the cuneus (0.009 ± 0.004 vs. 0.005 ± 0.004, P<0.05). There was significant positive correlations between susceptibility and CSF levels of sTREM2 which reflect the active of microglial cells ( r = 0.494, P<0.05). Conclusions:Despite the absence of supratentorial lesions on MRI, increased susceptibility suggests underlying inflammation in the cerebral cortex in both patients with ANMOSD and CNMOSD, and some of them are obviously related to inflammatory markers in CSF. QSM sequence can be used to explore the potential inflammation in NMOSD patients without obvious supratentorial lesions.