Study on the Multidimensional Predictive Model of Serum IL-6 Combined with MoCA Score and CHANGE Risk Score for Post-Stroke Cognitive Impairment
10.13241/j.cnki.pmb.2025.18.014
- VernacularTitle:血清IL-6联合MoCA评分、CHANGE风险评分对急性脑卒中后认知障碍的多维度预测模型研究
- Author:
Guan-ying GUO
1
;
Ke SHU
1
;
Ruo-yi WANG
1
;
Jin-rong YA
1
;
He-yun YANG
1
Author Information
1. 昆明市第一人民医院(昆明医科大学附属甘美医院)神经内科 云南 昆明 650011
- Publication Type:Journal Article
- Keywords:
Acute stroke;
Post-stroke cognitive impairment;
Interleukin-6;
Montreal Cognitive Assessment;
CHANGE risk score
- From:
Progress in Modern Biomedicine
2025;25(18):2981-2987
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the predictive value of serum interleukin-6(IL-6)combined with Montreal Cognitive Assessment(MoCA)score and CHANGE risk score for post-stroke cognitive impairment(PSCI),and to provide a basis for early identification and intervention of high-risk patients.Methods:The general data of 200 patients with acute stroke who were admitted to our hospital from October 2022 to September 2024 were retrospectively analyzed,they were divided into PSCI group(49 cases)and non PSCI group(151 cases)based on whether PSCI occurred 3 months after acute stroke.The general data of two groups were compared,multiple logistic regression was used to analyze the influencing factors of PSCI,and receiver operating characteristic(ROC)curves were used to evaluate predictive efficiency of serum IL-6,MoCA score and CHANGE risk score for of PSCI.Results:There was a statistically significant difference in age and education level between the two groups(P＜0.05).The serum IL-6 level and CHANGE risk score in the PSCI group were higher than those in the non PSCI group,while the MoCA score was lower than that in the non PSCI group(P＜0.05).Multivariate logistic regression showed that elevated IL-6 levels(OR=1.851,P=0.001)and elevated CHANGE risk scores(OR=1.076,P=0.016)were independent risk factors of the occurrence of PSCI,while elevated in MoCA score(OR=0.806,P=0.001)was a protective factor(P＜0.05).IL-6 levels,MoCA scores and CHANGE risk scores have high predictive efficiency for the occurrence of PSCI,the area under the curve(AUC)for predicting occurrence of PSCI by the three alone were 0.783,0.825 and 0.857 respectively,the AUC for the combined detection of the three indicators was 0.912,significantly higher than that of each indicator detected separately.Conclusion:Elevated serum IL-6,decreased MoCA score and increased CHANGE risk score are risk factors for PSCI,the combined detection model of the three has the highest predictive efficiency for occurrence of PSCI and can provide scientific basis for early clinical intervention.
