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Analysis of influencing factors of death in patients with autoimmune encephalitis |
LI Yimeng WANG Yaoyao SUN Yidi LIAN Yajun CHENG Xuan |
Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Henan Province, Zhengzhou 450052, China
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Abstract Objective To investigate the influencing factors of death in patients with autoimmune encephalitis (AE). Methods Clinical data of 202 patients diagnosed with AE in the First Affiliated Hospital of Zhengzhou University from August 2015 to December 2021 were collected. The patients completed at least six months of follow-up, and were divided into death group (47 cases) and survival group (155 cases) according to their survival during follow-up. The modified Rankin scale (mRS) and clinical assessment scale for AE (CASE) were used to assess the severity of the disease at admission. The clinical data of the two groups were compared, and the influencing factors of death in AE patients were analyzed by logistic regression model. Results There were statistically significant differences in age, seizure, consciousness level, mechanical ventilation, intensive care unit (ICU) admission, deep vein thrombosis, complicated tumor, number of complications, antibody type, mRS score, CASE score, neutrophil/lymphocyte ratio, and monocyte/lymphocyte ratio between the two groups (P<0.05). Univariate logistic regression analysis showed that age, seizure, consciousness level, mechanical ventilation, ICU admission, deep vein thrombosis, complicated tumor, number of complications, antibody type, mRS score, and CASE score were all influencing factors of death in AE patients (P<0.05). Further multivariate logistic regression analysis showed that old age, complicated tumor, multiple complications, antibody type γ-aminobutyric acid B-receptor antibody, and CASE score ≥ 10 points on admission were all independent risk factors for death in AE patients (OR>1, P<0.05). Conclusion The prognosis of AE patients is affected by many factors such as age, comorbidities, antibody type, etc. Physicians should pay special attention to it in clinical work.
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