Article ; Online: Clinical features, cerebrospinal fluid changes, and prognosis in Chinese patients with autoimmune encephalitis.
2024
Abstract: Introduction: Autoimmune encephalitis (AE) is a rare, treatable disease of the central nervous system (CNS) caused by an antibody-related immune response. This study is to investigate the correlation of clinical features, cerebrospinal fluid (CSF) ... ...
| Abstract | Introduction: Autoimmune encephalitis (AE) is a rare, treatable disease of the central nervous system (CNS) caused by an antibody-related immune response. This study is to investigate the correlation of clinical features, cerebrospinal fluid (CSF) characteristics, and prognosis in patients with AE. Methods: A total of 71 patients diagnosed with antibody-positive AE were retrospectively analyzed. The patients were divided into three groups: anti-NMDAR group, anti-LGI1 group, and other types. Clinical data were collected to analyze clinical features and CSF results, and prognosis was determined by modified Rankin Scale (mRS). Results: There was statistical difference in the incidences of decreased consciousness level (P < 0.001), memory loss (P = 0.017), speech disorders (P = 0.035), and dyskinesia (P = 0.001) in different antibodies groups. Younger age (P = 0.018), elevated CSF chloride content (P = 0.006), and white blood cells > 50/mm Conclusion: There are differences in age, gender, clinical characteristics, and CSF results in different subtypes of AE. First-line therapy failure would have poor functional recovery, and delayed therapy would increase the risk of relapse. Chloride ion content and white blood cell count in cerebrospinal fluid are positively correlated with the patient's exacerbation and admission to ICU. These indicators have certain clinical value for the prognosis of AE patients. |
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| Language | English |
| Publishing date | 2024-04-18 |
| Publishing country | Italy |
| Document type | Journal Article |
| ZDB-ID | 127315-2 |
| ISSN | 2240-2993 ; 0300-9009 |
| ISSN (online) | 2240-2993 |
| ISSN | 0300-9009 |
| DOI | 10.1007/s13760-024-02537-6 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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