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Predictive outcome of late window ischemic stroke patients following endovascular therapy: a multi-center study.

作者信息

Zhou Sijie, Mofatteh Mohammad, Chen Zhikai, Tang Jinyan, Ma Jicai, Ouyang Ziqi, Wang Jian, Luo Senrong, He Yuankang, Li Zhenzhang, Lai Yuzheng, Liao Xuxing

机构信息

Department of Surgery of Cerebrovascular Diseases, First People's Hospital of Foshan, Foshan, China.

School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom.

出版信息

Front Neurol. 2025 Mar 27;16:1489714. doi: 10.3389/fneur.2025.1489714. eCollection 2025.


DOI:10.3389/fneur.2025.1489714
PMID:40212610
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11983449/
Abstract

BACKGROUND AND PURPOSE: Stroke is a leading cause of morbidity and mortality worldwide. Endovascular therapy (EVT) has been established as a gold standard option to treat acute ischemic stroke (AIS) patients with large vessel occlusion (LVO) presenting within 6 h of symptom onset. However, there is a paucity of information regarding patient outcome and mortality in patients presenting in late time window within 6 to 24 h. In this study, we aimed to assess for predictors of outcomes in late window stroke patients following EVT. METHODS: We analyzed data from 202 patients treated with EVT from four comprehensive stroke centers. All patients were above 18 years of age and had symptoms onset of 6-24 h. mRS of 0-2 after three months was defined as favorable outcome. RESULTS: Patients with favorable outcome had lower median age ( 0.003), lower pre-EVT National Institute of Health Stroke Scale (NIHSS) score ( 0.000), lower diabetes mellitus ( 0.041), stroke history ( 0.041), parenchymal hematoma (PH) ( 0.000) and fewer attempts to achieve successful recanalization ( 0.001). Multivariate regression analysis found age ( 0.007), diabetes mellitus ( 0.022), successful recanalization (mTICI≥2b) ( 0.006), NIHSS at onset ( 0.000), and PH1 + PH2 Heidelberg bleeding classification ( 0.009) as predictors of functional outcome. CONCLUSION: Age, diabetes mellitus history, baseline NIHSS score, successful recanalization, and PH are predictors of 90-day functional outcome of late-window ischemic stroke patients undergoing EVT.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93a9/11983449/22f77b023f71/fneur-16-1489714-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93a9/11983449/22f77b023f71/fneur-16-1489714-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93a9/11983449/22f77b023f71/fneur-16-1489714-g001.jpg

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Predictive outcome of late window ischemic stroke patients following endovascular therapy: a multi-center study.

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[7]
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引用本文的文献

[1]
Decompressive craniectomy after endovascular thrombectomy in acute ischemic stroke: a systematic review.

Acta Neurochir (Wien). 2025-7-7

本文引用的文献

[1]
Postinterventional Petechial Hemorrhage Associated With Poor Functional Outcome After Successful Recanalization Following Endovascular Therapy.

Neurosurgery. 2025-2-1

[2]
Predictive modelling and identification of key risk factors for stroke using machine learning.

Sci Rep. 2024-5-20

[3]
The Association Between National Institutes of Health Stroke Scale Score and Clinical Outcome in Patients with Large Core Infarctions Undergoing Endovascular Treatment.

Neurol Ther. 2024-6

[4]
Predicting 90-day prognosis for patients with stroke: a machine learning approach.

Front Neurol. 2023-12-7

[5]
Predictors of failure of early neurological improvement in early time window following endovascular thrombectomy: a multi-center study.

Front Neurol. 2023-9-14

[6]
Endovascular Therapy for Stroke Presenting Beyond 24 Hours: A Systematic Review and Meta-analysis.

JAMA Netw Open. 2023-5-1

[7]
Developing and predicting of early mortality after endovascular thrombectomy in patients with acute ischemic stroke.

Front Neurosci. 2022-12-20

[8]
Association of Thrombectomy With Functional Outcome for Patients With Ischemic Stroke Who Presented in the Extended Time Window With Extensive Signs of Infarction.

JAMA Netw Open. 2022-10-3

[9]
Machine learning is an effective method to predict the 90-day prognosis of patients with transient ischemic attack and minor stroke.

BMC Med Res Methodol. 2022-7-16

[10]
Machine Learning-Based Identification of Target Groups for Thrombectomy in Acute Stroke.

Transl Stroke Res. 2023-6

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