Objective To explore the effect of collateral status on prognosis in elderly patients with acute ischemic stroke due to large vessel occlusion(AIS-LVO)after Solitaire stent retriever in combination with the intracranial support catheter aspiration for mechanical thrombectomy(SWIM),and construct a prediction model for prognosis.Methods A retrospective analysis was performed on 240 elderly AIS-LVO patients who underwent SWIM technique in our hospital be-tween February 2019 and February 2024.According to gender,age,occlusion sites and TOAST classifications,they were divided into a modeling group(180 cases)and a verification group(60 cases)in a ratio of 3∶1.Based on the results of modified Rankin scale(mRS)at 3 months after surgery,the patients in the modeling group were further divided into good prognosis subgroup(mRS score:0-2,97 cases)and poor prognosis subgroup(mRS score:3-6,83 cases).Multivari-ate logistic regression analysis was applied to evaluate the relationship between preoperative col-lateral circulation status and prognosis and to identify the influencing factors for prognosis.Then a prediction model for prognosis was constructed,and its performance was evaluated by ROC curve analysis.Results In the modeling group at 3 months of follow-up,the poor prognosis subgroup had significantly larger proportions of posterior circulation occlusion,cardiogenic embolism,ASITN/SIR grades 3-4 and hemorrhage transformation,higher NIHSS score at admission and longer interval from onset to vascular recanalization,while lower ASPECTS score at admission when compared with the good prognosis subgroup(P＜0.01).Multivariate logistic regression analysis showed that occlusion site,TOAST classification,NIHSS score at admission,interval from onset to vascular recanalization and hemorrhage transformation were independent risk fac-tors for poor prognosis,while ASPECTS score at admission and collateral circulation were protec-tive factors of good prognosis in the elderly AIS-LVO patients after SWIM technique(P＜0.01).Hosmer-Lemeshow test showed that the regression equation obtained goodness of fit in the mod-eling group(P=0.435).ROC curve analysis revealed that the AUC,sensitivity and specificity of then constructed prediction model for poor prognosis was 0.855[95％CI(0.797-0.913)],81.93％and 79.38％,respectively.The model was further verified in the data of the verification group(34 cases in good prognosis and 26 cases with poor prognosis),the AUC value,sensitivity and speci-ficity was 0.839[95％CI(0.732-0.947)],84.62％and 79.41％,respectively.Conclusion Our pre-diction model constructed based on screened risk factors for poor prognosis has good validity in patients with AIS-LVO after SWIM technique,which can identify the patients at high risk for poor prognosis.

Objective To explore the effect of collateral status on prognosis in elderly patients with acute ischemic stroke due to large vessel occlusion(AIS-LVO)after Solitaire stent retriever in combination with the intracranial support catheter aspiration for mechanical thrombectomy(SWIM),and construct a prediction model for prognosis.Methods A retrospective analysis was performed on 240 elderly AIS-LVO patients who underwent SWIM technique in our hospital be-tween February 2019 and February 2024.According to gender,age,occlusion sites and TOAST classifications,they were divided into a modeling group(180 cases)and a verification group(60 cases)in a ratio of 3∶1.Based on the results of modified Rankin scale(mRS)at 3 months after surgery,the patients in the modeling group were further divided into good prognosis subgroup(mRS score:0-2,97 cases)and poor prognosis subgroup(mRS score:3-6,83 cases).Multivari-ate logistic regression analysis was applied to evaluate the relationship between preoperative col-lateral circulation status and prognosis and to identify the influencing factors for prognosis.Then a prediction model for prognosis was constructed,and its performance was evaluated by ROC curve analysis.Results In the modeling group at 3 months of follow-up,the poor prognosis subgroup had significantly larger proportions of posterior circulation occlusion,cardiogenic embolism,ASITN/SIR grades 3-4 and hemorrhage transformation,higher NIHSS score at admission and longer interval from onset to vascular recanalization,while lower ASPECTS score at admission when compared with the good prognosis subgroup(P＜0.01).Multivariate logistic regression analysis showed that occlusion site,TOAST classification,NIHSS score at admission,interval from onset to vascular recanalization and hemorrhage transformation were independent risk fac-tors for poor prognosis,while ASPECTS score at admission and collateral circulation were protec-tive factors of good prognosis in the elderly AIS-LVO patients after SWIM technique(P＜0.01).Hosmer-Lemeshow test showed that the regression equation obtained goodness of fit in the mod-eling group(P=0.435).ROC curve analysis revealed that the AUC,sensitivity and specificity of then constructed prediction model for poor prognosis was 0.855[95％CI(0.797-0.913)],81.93％and 79.38％,respectively.The model was further verified in the data of the verification group(34 cases in good prognosis and 26 cases with poor prognosis),the AUC value,sensitivity and speci-ficity was 0.839[95％CI(0.732-0.947)],84.62％and 79.41％,respectively.Conclusion Our pre-diction model constructed based on screened risk factors for poor prognosis has good validity in patients with AIS-LVO after SWIM technique,which can identify the patients at high risk for poor prognosis.

Objective By using high-resolution magnetic resonance angiography to display the vascular wall imaging so as to evaluate the relationship between plaque characteristics and postoperative in-stent restenosis(ISR)in patients with middle cerebral artery stenosis.Methods A total of 66 patients with symptomatic atherosclerotic middle cerebral artery stenosis,who were admitted to the Affiliated Hospital of Chengde Medical College of China from January 2019 to March 2023,were enrolled in this study.Before stent implantation,all the 66 patients completed high-resolution magnetic resonance angiography.According to the postoperative imaging follow-up results,the patients were divided into ISR group and non-ISR group.The preoperative plaque characteristics,which were assessed by high-resolution magnetic resonance imaging,were compared between the two groups.Results ISR group had 14 patients and non-ISR group had 52 patients.Most of the plaques were located in the inferior lateral wall(37.8％)and the ventral lateral wall(28.7％),in which no statistically significant difference existed between the two groups(P＞0.05).Compared with non-ISR group,in ISR group the negative remodeling degree was obviously higher and the difference between the two groups was statistically significant(x2=6.026,P=0.049).The plaque load in ISR group and non-ISR group was 79.09±8.82 and 69.46±10.49 respectively,and the difference between the two groups was statistically significant(t=3.143,P=0.003).The homocysteine level in ISR group and non-ISR group was(16.02±4.24)mol/L and(12.05±3.34)mol/L respectively,and the difference between the two groups was statistically significant(t=3.717,P＜0.001).In ISR group,there were more significantly contrast-enhanced plaques(78.5％vs.42.3％),with statistically significant difference(x2=6.311,P=0.043).Multivariate logistic regression analysis showed that plaque load(OR=1.225,95％CI:1.040-1.443,P=0.015)and homocysteine level(OR=1.676,95％CI:1.150-2.442,P=0.007)were the independent risk factors for ISR.ROC curve analysis showed that in predicting ISR,the AUC,specificity and sensitivity of the plaque load were 0.765(95％CI:0.622-0.908,P=0.002),0.731 and 0.714 respectively,which of the homocysteine level were 0.767(95％CI:0.623-0.911,P=0.002),0.942 and 0.500 respectively.The combination use of plaque load and homocysteine level could achieve the best predictive effect,its AUC,specificity and sensitivity were 0.887(95％CI:0.794-0.981,P＜0.001),0.904 and 0.714 respectively.Conclusion The plaque load assessed by high-resolution magnetic resonance imaging and the homocysteine level have higher specificity and sensitivity in predicting ISR in patients with middle cerebral artery stenosis.