Literature DB >> 33940955

Detection of Large Vessel Occlusion Stroke in the Prehospital Setting: Electroencephalography as a Potential Triage Instrument.

Laura C C van Meenen1, Maritta N van Stigt2, Arjen Siegers3, Martin D Smeekes4, Joffry A F van Grondelle3, Geertje Geuzebroek3, Henk A Marquering5,6, Charles B L M Majoie6, Yvo B W E M Roos1, Johannes H T M Koelman2, Wouter V Potters1,2, Jonathan M Coutinho1.   

Abstract

A reliable and fast instrument for prehospital detection of large vessel occlusion (LVO) stroke would be a game-changer in stroke care, because it would enable direct transportation of LVO stroke patients to the nearest comprehensive stroke center for endovascular treatment. This strategy would substantially improve treatment times and thus clinical outcomes of patients. Here, we outline our view on the requirements of an effective prehospital LVO detection method, namely: high diagnostic accuracy; fast application and interpretation; user-friendliness; compactness; and low costs. We argue that existing methods for prehospital LVO detection, including clinical scales, mobile stroke units and transcranial Doppler, do not fulfill all criteria, hindering broad implementation of these methods. Instead, electroencephalography may be suitable for prehospital LVO detection since in-hospital studies have shown that quantification of hypoxia-induced changes in the electroencephalography signal have good diagnostic accuracy for LVO stroke. Although performing electroencephalography measurements in the prehospital setting comes with challenges, solutions for fast and simple application of this method are available. Currently, the feasibility and diagnostic accuracy of electroencephalography in the prehospital setting are being investigated in clinical trials.

Entities:  

Keywords:  diagnosis; electroencephalography; ischemic stroke; transportation; triage

Mesh:

Year:  2021        PMID: 33940955     DOI: 10.1161/STROKEAHA.120.033053

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  5 in total

1.  Optimization of Large Vessel Occlusion Detection in Acute Ischemic Stroke Using Machine Learning Methods.

Authors:  Gabor Tarkanyi; Akos Tenyi; Roland Hollos; Peter Janos Kalmar; Laszlo Szapary
Journal:  Life (Basel)       Date:  2022-02-03

Review 2.  Surface electroencephalography (EEG) during the acute phase of stroke to assist with diagnosis and prediction of prognosis: a scoping review.

Authors:  Lou Sutcliffe; Hannah Lumley; Lisa Shaw; Richard Francis; Christopher I Price
Journal:  BMC Emerg Med       Date:  2022-02-28

3.  Resting-state electroencephalography changes in poststroke patients with visuospatial neglect.

Authors:  Yichen Zhang; Linlin Ye; Lei Cao; Weiqun Song
Journal:  Front Neurosci       Date:  2022-08-10       Impact factor: 5.152

4.  ELECTRA-STROKE: Electroencephalography controlled triage in the ambulance for acute ischemic stroke-Study protocol for a diagnostic trial.

Authors:  Maritta N van Stigt; Anita A G A van de Munckhof; Laura C C van Meenen; Eva A Groenendijk; Monique Theunissen; Gaby Franschman; Martin D 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
Journal:  Front Neurol       Date:  2022-10-03       Impact factor: 4.086

5.  Sensory stimulation-based protection from impending stroke following MCA occlusion is correlated with desynchronization of widespread spontaneous local field potentials.

Authors:  Waqas Rasheed; Anirudh Wodeyar; Ramesh Srinivasan; Ron D Frostig
Journal:  Sci Rep       Date:  2022-02-02       Impact factor: 4.379

  5 in total

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