Clinical characteristics and influencing factors of secondary autoimmune encephalitis in adult patients with epidemic encephalitis B
10.3760/cma.j.cn431274-20240724-01137
- VernacularTitle:成人流行性乙型脑炎继发自身免疫性脑炎的临床特点及影响因素
- Author:
Shouwen XU
1
;
Jie LIU
1
;
Yanbin LIU
1
Author Information
1. 陕西省汉中市中心医院感染性疾病科，汉中 723000
- Publication Type:Journal Article
- Keywords:
Epidemic encephalitis B;
Autoimmune encephalitis, secondary
- From:
Journal of Chinese Physician
2025;27(5):731-734
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the clinical characteristics and influencing factors of secondary autoimmune encephalitis (AE) in adult patients with epidemic encephalitis B (EEB).Methods:78 adult EEB patients admitted to the Hanzhong Central Hospital from January 2006 to September 2017 were selected and divided into two groups based on the occurrence of secondary AE: group A (with secondary AE) and group B (without secondary AE). Factors influencing secondary AE in EEB patients were analyzed, and the receiver operating characteristic (ROC) curve was used to evaluate the predictive value of each factor for secondary AE.Results:After treatment, 28 out of 78 EEB patients (35.90%) developed secondary AE. The proportions of pulmonary infection, time from onset to admission, neutrophil-to-lymphocyte ratio (NLR), consciousness disorders, and respiratory disorders in the group A were significantly higher than those in the group B (all P<0.05). Binary logistic regression analysis showed that NLR, time from onset to admission, consciousness disorders, pulmonary infection, and respiratory disorders were influencing factors for secondary AE in EEB patients (all P<0.05). ROC curve analysis revealed that the combined detection of NLR, time from onset to admission, consciousness disorders, pulmonary infection, and respiratory disorders had higher sensitivity, specificity, and area under the curve (AUC) for predicting secondary AE than single detection (all P<0.05). Conclusions:The combined prediction of NLR, time from onset to admission, consciousness disorders, pulmonary infection, and respiratory disorders has high value for secondary AE in EEB patients. Clinically, these indicators can be used for early evaluation, and targeted interventions can be timely implemented to reduce the risk of secondary AE.
