Objective To explore the predictive factors for adverse clinical outcomes in critically ill adult patients with autoimmune encephalitis by analyzing their clinical characteristics and prognosis.Methods Clinical data of patients diagnosed with"confirmed"or"possible"autoimmune encephalitis who were hospitalized in the intensive care unit(ICU)of the Department of Neurology at the Second Xiangya Hospital of Central South University from January 2015 to December 2023 were retrospectively collected.The neurological function of patients at 3,6,and 12 months of onset was followed up,and the modified Rankin Scale(mRS)at 12 months was used as an evaluation index for clinical prognosis;Further analysis was conducted on the relationship between clinical features,auxiliary examinations,and prognosis.Results The 12-month survival rate of critically ill adult patients with autoimmune encephalitis in our center was 90.7％(117/129),and the 6-month poor prognosis rate was 28.7％(37/129).Univariate logistic regression analysis found that age of onset(P＜0.01),presence of tumors(P＜0.01),mechanical ventilation(P＜0.01),Glasgow Coma Scale(GCS)at ICU admission(P＜0.01),Acute Physiology and Chronic Health Evaluation Ⅱ(APACHE Ⅱ)score(P＜0.01),cerebrospinal fluid glucose(P＜0.01),cerebrospinal fluid protein level(P=0.02),epileptic waves in electroencephalography(EEG)(P=0.03),use of glucocorticoids(P=0.04),and time interval between initiation of intravenous immunoglobulin(IVIG)and onset(P=0.04)were associated with prognosis.The results of multiple logistic regression analysis showed that mechanical ventilation[P=0.01,area under the curve(AUC)=0.72)],APACHEⅡ score(P=0.04,AUC=0.68),cerebrospinal fluid protein content(P=0.04,AUC=0.65),and the time interval between initiation of IVIG and onset(P=0.02,AUC=0.64)were independent predictive factors for the prognosis of adult critical autoimmune encephalitis.The prognostic prediction model for adult critical autoimmune encephalitis established by combining these four indicators has a higher AUC(0.85).Conclusions Mechanical ventilation,APACHE Ⅱ score,cerebrospinal fluid protein level,and the time interval between initiation of IVIG and onset are predictive factors for poor clinical outcomes in critically ill autoimmune encephalitis in adults;The prognostic prediction model for adult critical autoimmune encephalitis established by combining these four indicators can identify patients with poor prognosis early,which is beneficial for early comprehensive management and intervention treatment to improve patient prognosis.
Autoimmune encephalitisCritical illnessPrognosisPredictive model
维普
万方数据
