Literature DB >> 31494924

Endovascular treatment for ischemic stroke beyond the time window: A meta-analysis.

Xuefei Li1, Lingshan Wu1, Hongxian Xie2, Yuxian Bao3, Dan He2, Xiang Luo1.   

Abstract

Currently, endovascular treatment has been proven to be effective when conducted within 6 hours of symptom onset. However, when patients have symptoms for more than 6 hours, have a daytime-unwitnessed stroke (DUS) or wake up with a stroke (wake-up stroke, WUS), the safety and efficacy of endovascular treatment need to be further elucidated. Therefore, we performed a systematic review and meta-analysis to compare the clinical outcomes of endovascular treatment in patients with ischemic stroke beyond the time window with that ≤6 hours. PubMed, EMBASE, and Ovid MEDLINE were searched from inception to November 2018. The following outcomes were evaluated by a random-effects model: efficacy outcomes, that is, functional independence and successful recanalization, and safety outcomes, that is, symptomatic intracranial hemorrhage and mortality. Subgroup analyses were also performed to examine whether patient or study characteristics were associated with the outcomes. Nine observational studies, including 5192 patients (1414 patients with extended time windows [ETWs]; 3778 patients ≤6 hours), were eligible for analysis. The overall analysis demonstrated that the functional independence was worse in patients with ETWs vs those ≤6 hours (OR, 0.78; 95% CI, 0.68-0.90, P = .0006). However, subgroup analysis showed that there was no significant difference in functional independence between the two groups when patients were selected for a perfusion mismatch by imaging (OR, 1.00; 95% CI, 0.70-1.43, P = 1.000). Therefore, compared with a window ≤6 hours, endovascular treatment with ETWs for ischemic stroke may not result in poor outcomes when patients are typically selected by perfusion techniques.
© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  6 hours; acute ischemic stroke; daytime-unwitnessed stroke; endovascular treatment; meta-analysis; wake-up stroke

Mesh:

Year:  2019        PMID: 31494924     DOI: 10.1111/ane.13161

Source DB:  PubMed          Journal:  Acta Neurol Scand        ISSN: 0001-6314            Impact factor:   3.209


  2 in total

1.  MRI radiomic features-based machine learning approach to classify ischemic stroke onset time.

Authors:  Yi-Qun Zhang; Ao-Fei Liu; Feng-Yuan Man; Ying-Ying Zhang; Chen Li; Yun-E Liu; Ji Zhou; Ai-Ping Zhang; Yang-Dong Zhang; Jin Lv; Wei-Jian Jiang
Journal:  J Neurol       Date:  2021-07-04       Impact factor: 4.849

2.  Proteomics-Based Approach to Identify Novel Blood Biomarker Candidates for Differentiating Intracerebral Hemorrhage From Ischemic Stroke-A Pilot Study.

Authors:  David Malicek; Ilka Wittig; Sebastian Luger; Christian Foerch
Journal:  Front Neurol       Date:  2021-12-17       Impact factor: 4.003

  2 in total

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