Abstract

The optimal management of emergent large vessel occlusion due to underlying intracranial stenosis (intracranial stenosis related large vessel occlusion) remains unknown. The primary aim of this survey analysis was to measure variation in the clinical management of intracranial stenosis related large vessel occlusion during mechanical thrombectomy. A survey was designed using a web-based survey-building platform and distributed via the Society of NeuroInterventional Surgery (SNIS) and the Society of Vascular and Interventional Neurology (SVIN) websites for a response. Predictors of respondents' level of comfortability stenting were estimated using a binomial logistic regression model. We received 105 responses to the survey. Most respondents (54.3%) practiced at an academic Stroke Center. Nearly half of the respondents (49%) had been practicing for 5 or more years independently after fellowship. An average of 54 mechanical thrombectomies were performed by each respondent annually. There was variation in the definition of intracranial stenosis related large vessel occlusion, number of passes performed before pursuing rescue stenting, as well as intra and post-procedural antiplatelet management. Of respondents, 58% felt rescue stenting was very risky, and 55.7% agreed that there was equipoise regarding emergent angioplasty and/or stenting versus medical therapy for intracranial stenosis related large vessel occlusion. Respondents who encountered intracranial stenosis related large vessel occlusion more frequently thought that rescue stenting was less risky. There is notable variability in the diagnosis and management of intracranial stenosis related large vessel occlusion during mechanical thrombectomy. While most respondents felt rescue stenting was risky, the majority believed the benefit could outweigh the risk. The majority of respondents agreed that equipoise exists regarding the management of intracranial stenosis related large vessel occlusion, highlighting the need for clinical trials in this rare patient population.

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