Last Electrically Well: Intraoperative Neurophysiological Monitoring for Identification and Triage of Large Vessel Occlusions.


Journal

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
ISSN: 1532-8511
Titre abrégé: J Stroke Cerebrovasc Dis
Pays: United States
ID NLM: 9111633

Informations de publication

Date de publication:
Oct 2020
Historique:
received: 09 06 2020
accepted: 12 07 2020
entrez: 11 9 2020
pubmed: 12 9 2020
medline: 11 11 2020
Statut: ppublish

Résumé

Intra-operative stroke (IOS) is associated with poor clinical outcome as detection is often delayed and time of symptom onset or patient's last known well (LKW) is uncertain. Intra-operative neurophysiological monitoring (IONM) is uniquely capable of detecting onset of neurological dysfunction in anesthetized patients, thereby precisely defining time last electrically well (LEW). This novel parameter may aid in the detection of large vessel occlusion (LVO) and prompt treatment with endovascular thrombectomy (EVT). We performed a retrospective analysis of a prospectively maintained AIS and LVO database from May 2018-August 2019. Inclusion criteria required any surgical procedure under general anesthesia (GA) utilizing EEG (electroencephalography) and/or SSEP (somatosensory evoked potentials) monitoring with development of intraoperative focal persistent changes using predefined alarm criteria and who were considered for EVT. Five cases were identified. LKW to closure time ranged from 66 to 321 minutes, while LEW to closure time ranged from 43 to 174 min. All LVOs were in the anterior circulation. Angiography was not pursued in two cases due to large established infarct (both patients expired in the hospital). EVT was pursued in two cases with successful recanalization and spontaneous recanalization was noted in one patient (mRS 0-3 at 90 days was achieved in all 3 cases). This study demonstrates that significant IONM changes can accurately identify patients with an acute LVO in the operative setting. Given the challenges of recognizing peri-operative stroke, LEW may be an appropriate surrogate to quickly identify and treat IOS.

Identifiants

pubmed: 32912500
pii: S1052-3057(20)30576-0
doi: 10.1016/j.jstrokecerebrovasdis.2020.105158
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105158

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest BAG: Consultant: Microvention.

Auteurs

Katherine M Anetakis (KM)

The Departments of Neurology and Neurological Surgery, University of Pittsburgh Medical, Center, Pittsburgh, PA USA.

Jay N Dolia (JN)

The Departments of Neurology and Neurological Surgery, University of Pittsburgh Medical, Center, Pittsburgh, PA USA.

Shashvat M Desai (SM)

The Departments of Neurology and Neurological Surgery, University of Pittsburgh Medical, Center, Pittsburgh, PA USA.

Jeffrey R Balzer (JR)

The Departments of Neurology and Neurological Surgery, University of Pittsburgh Medical, Center, Pittsburgh, PA USA.

Donald J Crammond (DJ)

The Departments of Neurology and Neurological Surgery, University of Pittsburgh Medical, Center, Pittsburgh, PA USA.

Parthasarathy D Thirumala (PD)

The Departments of Neurology and Neurological Surgery, University of Pittsburgh Medical, Center, Pittsburgh, PA USA.

James F Castellano (JF)

The Departments of Neurology and Neurological Surgery, University of Pittsburgh Medical, Center, Pittsburgh, PA USA.

Bradley A Gross (BA)

The Departments of Neurology and Neurological Surgery, University of Pittsburgh Medical, Center, Pittsburgh, PA USA.

Ashutosh P Jadhav (AP)

The Departments of Neurology and Neurological Surgery, University of Pittsburgh Medical, Center, Pittsburgh, PA USA. Electronic address: jadhav.library@gmail.com.

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