Improvements in endovascular stroke treatment workflow over 5 years: ESCAPE to ESCAPE-NA1

五年内血管内卒中治疗流程的改进:从 ESCAPE 到 ESCAPE-NA1

阅读:1

Abstract

Background and PurposeRapid treatment is a major determinant of outcome in acute ischemic stroke patients with large vessel occlusion. We used patient-level data from the ESCAPE and ESCAPE-NA1 trials to evaluate whether and to what extent workflow interval times have improved over time.MethodsData were derived from the ESCAPE and the ESCAPE-NA1 randomized trials. Workflow interval times and reperfusion quality were summarized using descriptive statistics and compared on a patient level between the two trials using the Wilcoxon rank sum test and Fisher's exact test. The effect of patient baseline characteristics, including patient age, sex and stroke severity as measured by the National Institutes of Health Stroke Scale, on workflow times was determined using linear regression.ResultsAll patients from the ESCAPE trial (n = 315) and the ESCAPE-NA1 trials (n = 1105) were included in the analysis. For endovascular interval times, control patients from the ESCAPE trial were excluded. All in-hospital workflow interval times, including door-to-reperfusion times, were significantly shorter in ESCAPE-NA1 (median 91 min [IQR 69-120] vs. 110 [IQR 89-143], P < .001). These improvements were mainly observed in patients directly presenting to an EVT-capable hospital. Onset-to-randomization times did not differ significantly between the two trials (ESCAPE-NA1: median 188 [122-319] vs. ESCAPE: 174 [119-285], P = .152). There was no effect of procedural sedation use, age, sex, stroke severity or evidence of a learning effect over the duration of each trial.ConclusionWorkflow interval times in endovascular stroke treatment have significantly improved over time, particularly in patients directly presenting to an EVT-capable hospital.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。