Serum brain-derived neurotrophic factor predicts post-stroke cognitive impairment in patients with acute ischemic stroke
10.3760/cma.j.issn.1673-4165.2022.02.004
- VernacularTitle:血清脑源性神经营养因子预测急性缺血性卒中患者卒中后认知损害
- Author:
Jing ZHANG
1
;
Kui ZHANG
;
Li GONG
;
Yunliang ZHU
;
Qianqian MA
Author Information
1. 济宁医学院附属医院神经内三科，济宁 272000
- Keywords:
Stroke;
Brain ischemia;
Brain-derived neurotrophic factor;
Cognition disorders;
Risk factors;
Biomarkers
- From:
International Journal of Cerebrovascular Diseases
2022;30(2):99-103
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the correlation between serum brain-derived neurotrophic factor (BDNF) and post-stroke cognitive impairment (PSCI) in patients with acute ischemic stroke, and to evaluate its predictive value for PSCI.Methods:Patients with acute ischemic stroke admitted to the Affiliated Hospital of Jining Medical University from April 2018 to September 2020 were prospectively enrolled. Cognitive impairment was assessed by Montreal Cognitive Assessment (MoCA) at 3 months after onset. Multivariate logistic analysis was used to determine the independent correlation between serum BDNF and PSCI, and receiver operating characteristics (ROC) curve was used to evaluate its predictive value for PSCI. Results:A total of 511 patients with acute ischemic stroke were enrolled, including 332 males (65.0%), aged 60.67±10.18 (range 49-80) years. The median score of the National Institutes of Health Stroke Scale (NIHSS) at the baseline was 5.0 (interquartile range 2.7-6.7), and 413 patients (80.8%) had anterior circulation stroke. The median of serum BDNF was 11.54 μg/L (interquartile range 6.13-16.25 μg/L). PSCI occurred in 310 patients (60.7%). Univariate analysis showed that there were significant differences in age, history of previous transient ischemic attack, baseline NIHSS score and serum BDNF between the PSCI group and the non-PSCI group (all P<0.05). Multivariate logistic analysis showed that there was a significant independent correlation between serum BDNF and PSCI (odds ratio 0.514, 95% confidence interval 0.356-0.807; P=0.005). ROC curve analysis showed that the area under the curve of serum BDNF predicting PSCI was 0.863 (95% confidence interval 0.830-0.896; P<0.001). The best cut-off value was 10.78 μg/L, and the sensitivity and specificity were 74.9% and 86.8% respectively. Conclusion:Higher baseline serum BDNF was a protective factor for PSCI and had good predictive value for PSCI.
