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Abstract Details

Research on Prediction Model of Severe Autoimmune Encephalitis
Autoimmune Neurology
P3 - Poster Session 3 (12:00 PM-1:00 PM)
010
This study aimed to identify the factors that influencing the severity of autoimmune encephalitis and establish a predictive model for severe autoimmune encephalitis.

Recognizing the predictors of disease severity in autoimmune encephalitis is essential for individualized treatment strategy. 

Clinical information were retrospectively collected from suspected autoimmune encephalitis patients at Beijing Tongren Hospital between February 2012 and May 2022. Patients meeting inclusion criteria were divided into development and validation cohorts based on the timing of antibody detection. Disease severity was assessed by modified Rankin scale (mRS) and the Clinical Assessment Scale for Autoimmune Encephalitis (CASE). Univariate and logistic regression were employed to identify factors impacting disease severity. A nomogram was constructed for predicting severe autoimmune encephalitis.
A total of 207 patients with autoimmune encephalitis were included in the analysis of factors related to disease severity. A nomogram was developed to predict severity, incorporating variables such as age, psychiatric and/or behavioral abnormalities, seizures, impaired consciousness, cognitive impairment, involuntary movements, combined tumors, admission to ICU, increased intrathecal synthesis rate of IgG. In the development cohort, the area under curve (AUC) was 0.831 (95% CI: 0.762 - 0.899); in internal validation using the Bootstrap method, the AUC was 0.832 (95% CI: 0.707 - 0.902); in the external validation AUC was 0.800 (95% CI 0.645 - 0.956), the calibration curve shows well calibration effect.
This study established and validated a nomogram for predicting severe autoimmune encephalitis, demonstrating robust discrimination and calibration.
Authors/Disclosures
Ka-Ho Wong (U of U Neurology Clinic)
PRESENTER 		The institution of Mr. Wong has received research support from The Sumaira Foundation . The institution of Mr. Wong has received research support from The Siegel Rare Neuroimmune Association.
Lei Liu, MD, PhD (Beijing Tongren Hospital,Capital Medical University) Dr. Liu has nothing to disclose.
Jingxiao Zhang Dr. Zhang has nothing to disclose.