Clinical prognosis of acute posterior circulation large artery occlusive stroke via endovascular therapy
- VernacularTitle:急性后循环大动脉闭塞性脑卒中血管内治疗的临床预后分析
- Author:
Wei CHEN
1
;
Lu DING
;
Zhou ZHOU
;
Kan CAO
;
Zhaojun MEI
;
Bo CHEN
;
Xinyu LU
Author Information
- Keywords: vertebral artery; basilar artery; large vessel occlusion; endovascular treatment; stroke; prognosis
- From: Journal of Clinical Medicine in Practice 2024;28(19):100-104
- CountryChina
- Language:Chinese
- Abstract: Objective To summarize the clinical characteristics of patients with acute posterior circulation large artery occlusive stroke within 6 hours via endovascular therapy and analyze the risk factors for poor prognosis.Methods Clinical data of 43 patients with acute posterior circulation large artery occlusive stroke within 6 hours from January 2017 to June 2023 in the Department of Neurosur-gery of the Affiliated People's Hospital of Jiangsu University were collected.The baseline data,the vascular recanalization rate,symptomatic intracranial hemorrhage rate,90 d good prognosis[modified Rankin Scale(mRS)score≤2]rate,and mortality were analyzed retrospectively.Univariate and multivariate Logistic regression analyses were applied to analyze the risk factors associated with poor prognosis(mRS score＞2).Results After endovascular treatment,successful revascularization was achieved in 34 cases,and 4 cases developed symptomatic intracranial hemorrhage.At the 90-day fol-low-up,20 patients had good outcomes,12 had poor outcomes,and 11 died.Univariate analysis sug-gested that there was a statistically significant difference in preoperative NIHSS scores between the two groups(P＜0.05).Binary logistic regression analysis showed that a high preoperative NIHSS score was an independent risk factor for poor prognosis.Conclusion Early endovascular treatment can sig-nificantly improve the revascularization rate and prognosis of patients with acute posterior circulation large artery occlusion stroke.Preoperative NIHSS score can be used as an independent influencing fac-tor to predict the prognosis of patients.
