脑电图
冲程(发动机)
医学
急诊分诊台
接收机工作特性
临床试验
临床终点
心脏病学
急诊医学
内科学
机械工程
精神科
工程类
作者
Maritta N. van Stigt,Anita A. G. A. van de Munckhof,Laura C. C. van Meenen,Eva A. Groenendijk,Monique Theunissen,Gaby Franschman,Martin Smeekes,Joffry A.F. van Grondelle,Geertje Geuzebroek,Arjen Siegers,Henk A. Marquering,Charles B.L.M. Majoie,Yvo B.W.E.M. Roos,Johannes H.T.M. Koelman,Wouter V. Potters,Jonathan M. Coutinho
标识
DOI:10.3389/fneur.2022.1018493
摘要
Background Endovascular thrombectomy (EVT) is the standard treatment for large vessel occlusion stroke of the anterior circulation (LVO-a stroke). Approximately half of EVT-eligible patients are initially presented to hospitals that do not offer EVT. Subsequent inter-hospital transfer delays treatment, which negatively affects patients' prognosis. Prehospital identification of patients with LVO-a stroke would allow direct transportation of these patients to an EVT-capable center. Electroencephalography (EEG) may be suitable for this purpose because of its sensitivity to cerebral ischemia. The hypothesis of ELECTRA-STROKE is that dry electrode EEG is feasible for prehospital detection of LVO-a stroke. Methods ELECTRA-STROKE is an investigator-initiated, diagnostic study. EEG recordings will be performed in patients with a suspected stroke in the ambulance. The primary endpoint is the diagnostic accuracy of the theta/alpha ratio for the diagnosis of LVO-a stroke, expressed by the area under the receiver operating characteristic (ROC) curve. EEG recordings will be performed in 386 patients. Discussion If EEG can be used to identify LVO-a stroke patients with sufficiently high diagnostic accuracy, it may enable direct routing of these patients to an EVT-capable center, thereby reducing time-to-treatment and improving patient outcomes. Clinical trial registration ClinicalTrials.gov , identifier: NCT03699397.
科研通智能强力驱动
Strongly Powered by AbleSci AI