脑血管病患者介入术后脑灰质和白质密度变化及其与神经功能缺损程度的相关性OACSTPCD

Objective:To explore the changes of gray matter and white matter density in cerebral vascular disease patients after interventional operation,and the correlation between the changes of gray matter and white matter density and the degree of neurological impairment.Methods:A total of 163 patients with ischemic cerebrovascular disease who received interventional surgery in our hospital from March 2019 to March 2022 were selected as the study objects,and the degree of neurological impairment was divided into mild(53 cases),moderate(61 cases),and severe(49 cases)groups according to the score of the National Institute of Health Stroke Scale(NIHSS).Multivariate Logistic regression analysis was performed to identify significant factors associated with severe neurological impairment,including hypersensitive C-reactive protein,white blood cell count,neutrophil count,S100 calcium-binding protein B,and the density difference between gray matter and white matter(P＜0.05).The effect of density difference between gray matter and white matter on neurological impairment was evaluated by stratified analysis.Receiver operator characteristic(ROC)curves were plotted to evaluate the predictive value of gray matter and white matter density differences for the severity of neurological impairment.A predicted model based on the Logistic regression equation y=1-1/(1+e-z)was developed,and the area under ROC curve,and the consistency index was used to evaluate the model's differentiation and accuracy.Results:Hypersensitive C-reactive protein,white blood cells,neutrophils,S100 calcium-binding protein B,the density difference between gray matter and white matter were independent risk factors for severe neurological impairment(P＜0.05).There was a positive correlation between the density difference of gray matter and white matter and the degree of neurological impairment.When the density difference between gray matter and white matter ≥14.08 HU,the probability of severe neurological impairment after interventional cerebrovascular disease was significantly increased.Through Bootstrap self-sampling,the prediction model has good differentiation and accuracy.Conclusion:After intervention,changes in both gray matter and white matter densities were closely related to the severity of neurological impairment in patients with cerebrovascular disease,while densities gradually increased in patients with severe cerebrovascular disease.