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Endovascular Mechanical Thrombectomy for Acute Ischemic Stroke Under General Anesthesia Versus Conscious Sedation: A Systematic Review and Meta-Analysis

Authors :
Thomas J. Buell
Adeel Ilyas
Ching-Jen Chen
Min S. Park
Dale Ding
Bradford B. Worrall
Andrew M. Southerland
Davis G. Taylor
Natasha Ironside
Paul M. Foreman
M. Yashar S. Kalani
Source :
World Neurosurgery. 112:e355-e367
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

Abstract

Background Endovascular mechanical thrombectomy (EMT) is the standard of care for eligible patients presenting with anterior circulation acute ischemic stroke (AIS) due to emergent large vessel occlusion (ELVO). The aim of this systematic review and meta-analysis is to compare the outcomes between patients undergoing general anesthesia (GA) versus conscious sedation (CS) for these procedures. Methods A literature review was performed to identify studies reporting the EMT outcomes of AIS patients who underwent GA or CS for the procedure. Baseline, treatment, and outcomes data were analyzed. Good outcome was defined as a modified Rankin Scale score of 0–2 at 3 months, and successful reperfusion was defined as modified thrombolysis in cerebral infarction grade of 2b–3. Results Nine studies, comprising a total of 1379 patients treated with GA (n = 761) or CS (n = 618) for EMT, were included. Based on pooled data, GA achieved good outcome in 35% and successful reperfusion in 81%, whereas CS achieved good outcome in 41% and successful reperfusion in 75%. Meta-analyses showed no significant differences in the rates of good outcome (P = 0.51) or successful reperfusion (P = 0.39) between the GA and CS groups. The rates of pneumonia were significantly higher in the GA group (21% vs. 11%; P = 0.01). Conclusions The use of either GA or CS during EMT for patients with anterior circulation acute ELVO does not yield significantly different rates of functional independence at 3 months.

Details

ISSN :
18788750
Volume :
112
Database :
OpenAIRE
Journal :
World Neurosurgery
Accession number :
edsair.doi...........cef3ec9da068c6705e440f95970e9161