中国实用神经疾病杂志2026，Vol.29Issue(3)：294-299,6.DOI:10.12083/SYSJ.241647
脑网络改变与ApoB/ApoAⅠ比值对脑卒中合并脑白质病变严重程度的预测价值
Predictive value of brain network changes and ApoB/ApoAⅠratio on the severity of stroke with white matter lesions
摘要
Abstract
Objective To investigate the predictive value of brain network changes and apolipoprotein(Apo)B/ApoAⅠratio on the severity of white matter lesions in stroke patients.Methods A total of 205 patients with stroke complicated by white matter lesions who were admitted to Tianshui First People's Hospital between December 2021 and December 2023 were enrolled in this study.All patients underwent cranial MRI.The severity of white matter lesions was evaluated using the Fazekas scale,and patients were categorized into mild group(Fazekas score<3,n=118)and moderate-to-severe group(Fazekas score≥3,n=87).Brain structural network parameters,serum ApoB and ApoAⅠlevels,and the ApoB/ApoAⅠratio were compared between the two groups.Receiver operating characteristic(ROC)curve analysis was performed to assess the predictive value of these indicators for lesion severity.Results Compared with the moderate-to-severe group,the mild group demonstrated significantly better global efficiency,local efficiency,shortest path length,and clustering coefficient of the brain structural network.Serum ApoAⅠlevels were significantly higher in the mild group,whereas the ApoB/ApoAⅠratio was significantly lower(P<0.05).Logistic regression analysis revealed that local efficiency,global efficiency,shortest path length,clustering coefficient,serum ApoAⅠlevel,and the ApoB/ApoAⅠratio were independent predictors of WML severity in stroke patients(P<0.05).ROC curve analysis showed that the combined assessment of brain structural network parameters and the ApoB/ApoAⅠratio markedly improved the accuracy for predicting lesion severity,yielding the area under the curve(AUC)of 0.910,with the sensitivity of 93.75%and the specificity of 75.01%.Conclusion Brain network changes and ApoB/ApoAⅠratio play important roles in predicting the severity of white matter lesions in stroke patients.Combined detection offers better diagnostic value and can more comprehensively evaluate the extent of lesions,providing robust support for clinical decision-making.关键词
脑卒中/脑白质病变/脑网络结构参数/ApoB/ApoAⅠ/血清/预测价值Key words
Stroke/White matter lesions/Structural parameters of brain network/ApoB/ApoAⅠ/Serum/Predicted value分类
医药卫生引用本文复制引用
蒲敏,张庆华..脑网络改变与ApoB/ApoAⅠ比值对脑卒中合并脑白质病变严重程度的预测价值[J].中国实用神经疾病杂志,2026,29(3):294-299,6.基金项目
甘肃省自然科学基金项目(编号:20JR10RA788) （编号:20JR10RA788）
