Thrombectomy for Treatment of Acute Stroke in the COVID-19 Pandemic

Cerebrovascular Diseases ◽

10.1159/000511729 ◽

2020 ◽

pp. 1-6

Author(s):

Panagiotis Papanagiotou ◽

Guillermo Parrilla ◽

L. Creed Pettigrew

Keyword(s):

Acute Stroke ◽

Embolic Stroke ◽

Large Vessel ◽

Large Vessel Occlusion ◽

Vessel Occlusion ◽

Novel Coronavirus

This commentary will focus on the role of thrombectomy for the treatment of embolic stroke during the 2019 novel coronavirus disease (COVID-19). We will begin with review of recently promulgated guidelines for use of thrombectomy in COVID-19-associated stroke. We will then survey the reported experience of thrombectomy applied to treatment of large-vessel occlusion (LVO) stroke in COVID-19. We will conclude by discussing unusual challenges confronted by neuro-interventionalists seeking to perform thrombectomy in COVID-19 patients with acute LVO stroke.

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Diagnostic value of transcranial ultrasonography for selecting subjects with large vessel occlusion: a systematic review

The Ultrasound Journal ◽

10.1186/s13089-019-0143-6 ◽

2019 ◽

Vol 11 (1) ◽

Cited By ~ 1

Author(s):

Daria Antipova ◽

Leila Eadie ◽

Ashish Stephen Macaden ◽

Philip Wilson

Keyword(s):

Systematic Review ◽

Diagnostic Accuracy ◽

Acute Stroke ◽

Clinical Assessment ◽

Assessment Tools ◽

Large Vessel ◽

Cochrane Library ◽

Direct Transfer ◽

Large Vessel Occlusion ◽

Vessel Occlusion

Abstract Introduction A number of pre-hospital clinical assessment tools have been developed to triage subjects with acute stroke due to large vessel occlusion (LVO) to a specialised endovascular centre, but their false negative rates remain high leading to inappropriate and costly emergency transfers. Transcranial ultrasonography may represent a valuable pre-hospital tool for selecting patients with LVO who could benefit from rapid transfer to a dedicated centre. Methods Diagnostic accuracy of transcranial ultrasonography in acute stroke was subjected to systematic review. Medline, Embase, PubMed, Scopus, and The Cochrane Library were searched. Published articles reporting diagnostic accuracy of transcranial ultrasonography in comparison to a reference imaging method were selected. Studies reporting estimates of diagnostic accuracy were included in the meta-analysis. Results Twenty-seven published articles were selected for the systematic review. Transcranial Doppler findings, such as absent or diminished blood flow signal in a major cerebral artery and asymmetry index ≥ 21% were shown to be suggestive of LVO. It demonstrated sensitivity ranging from 68 to 100% and specificity of 78–99% for detecting acute steno-occlusive lesions. Area under the receiver operating characteristics curve was 0.91. Transcranial ultrasonography can also detect haemorrhagic foci, however, its application is largely restricted by lesion location. Conclusions Transcranial ultrasonography might potentially be used for the selection of subjects with acute LVO, to help streamline patient care and allow direct transfer to specialised endovascular centres. It can also assist in detecting haemorrhagic lesions in some cases, however, its applicability here is largely restricted. Additional research should optimize the scanning technique. Further work is required to demonstrate whether this diagnostic approach, possibly combined with clinical assessment, could be used at the pre-hospital stage to justify direct transfer to a regional thrombectomy centre in suitable cases.

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Role of Non-Perfusion Factors in Mildly Symptomatic Large Vessel Occlusion Stroke

Journal of Stroke and Cerebrovascular Diseases ◽

10.1016/j.jstrokecerebrovasdis.2020.105172 ◽

2020 ◽

Vol 29 (10) ◽

pp. 105172

Author(s):

Omar Hussein ◽

Ahmed Abd Elazim ◽

Khalid Sawalha ◽

Smeer Salam ◽

Kasser Saba ◽

...

Keyword(s):

Large Vessel ◽

Large Vessel Occlusion ◽

Vessel Occlusion

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Abstract P558: Identification of Embolic Stroke in Patients With Large Vessel Occlusion

Stroke ◽

10.1161/str.52.suppl_1.p558 ◽

2021 ◽

Vol 52 (Suppl_1) ◽

Author(s):

Lan Hong ◽

Longting Lin ◽

Gang Li ◽

Jianhong Yang ◽

Geng Yu ◽

...

Keyword(s):

Perfusion Imaging ◽

Delay Time ◽

Validation Cohort ◽

Embolic Stroke ◽

Large Vessel ◽

Smoking History ◽

Large Vessel Occlusion ◽

Vessel Occlusion ◽

Derivation Cohort ◽

History Of

Objective: To develop a simple and objective score using clinical variables and quantified perfusion measures to identify embolic stroke with large vessel occlusions. Methods: Eligible patients from the Chinese centers participating in the International Stroke Perfusion Imaging Registry were included in this study. Patients were split into a derivation cohort (n=213) and a validation cohort (n=116). A score was developed according to the coefficients of independent predictors of embolic stroke from stepwise logistic regression model in the derivation cohort. The performance of the score was validated by assessing its discrimination and calibration. Additionally, a comparison between the area under curve (AUC) of history of atrial fibrillation (AF) alone and history of AF plus the score was also conducted. Results: The independent predictors of embolic stroke made up the Chinese Embolic Stroke Score (CHESS). There were: age (≥64 years, 1 point), non-smoking history (1 point), non-hypertension history (1 point) , baseline NIH Stroke Scale (≥14, 1 point) and delay time>6s volume/delay time>3s volume on perfusion imaging (≥0.23, 2 points). The AUC of CHESS in the derivation cohort and validation cohort were 0.80 and 0.72 respectively. Calibration tests indicated high agreement between predicted and observed probabilities. The AUC of AF-plus-CHESS compared to history of AF alone was significant (derivation cohort P<0.001; validation cohort P=0.01). Conclusions: In a Chinese population, CHESS reliably and independently identified embolic stroke as the cause of large vessel occlusion.

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Abstract 1122‐000022: Delays in Care for Patients with Acute Stroke During Hospitalization for Other Reasons

Stroke: Vascular and Interventional Neurology ◽

10.1161/svin.01.suppl_1.000022 ◽

2021 ◽

Vol 1 (S1) ◽

Author(s):

Nicholas Vigilante ◽

Parth Patel ◽

Prasanth Romiyo ◽

Lauren Thau ◽

Mark Heslin ◽

...

Keyword(s):

Acute Stroke ◽

Acute Care ◽

Large Vessel ◽

Large Vessel Occlusion ◽

Single Center ◽

Anterior Circulation ◽

Vessel Occlusion ◽

Symptom Recognition ◽

Risk Patients ◽

Recognition Imaging

Introduction : In‐hospital stroke (IHS) is defined as stroke that occurs during hospitalization for non‐stroke conditions. We aimed to understand the timing of symptom recognition for patients who experienced IHS and its impact on the care they receive. Methods : A prospective, single center registry of adult patients (9/20/19‐2/28/21) was queried for acute anterior circulation IHS. Indications for hospitalization, delays from last known well (LKW) to symptom recognition, imaging, and treatment were explored. Results : Of 928 consecutively evaluated adults with acute stroke, 85 (9%) developed an anterior circulation IHS, 39 (46%) of whom were female, with a median age of 67 years (IQR 60–76) and median NIHSS of 15 (IQR 4–22). Sixty‐eight (80%) had a >1 hour delay from last known well to symptom recognition. Two patients (2%) received IV thrombolysis, although another 38 (45%) would have been eligible if not for a delay in symptom recognition. An ICA, M1, or M2 occlusion was observed in 18 patients (21%), 7 of whom were treated at a median of 174 minutes after LKW (IQR 65–219). Compared to the 11 patients who did not undergo thrombectomy with large vessel occlusion, those who underwent thrombectomy had non‐significantly shorter delays from LKW until neuroimaging (median 85 [IQR 65‐162] vs. 216 [IQR 133‐507], p = 0.12). Conclusions : While uncommon, patients with IHS experience delays in symptom recognition and treatment, which lead to exclusion from acute care treatment such as thrombolysis and thrombectomy. Earlier detection with more frequent nursing assessments or advanced neuromonitoring devices in at‐risk patients may reduce delays in care.

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Epidemiological Surveillance of the Impact of the COVID-19 Pandemic on Stroke Care Using Artificial Intelligence

Stroke ◽

10.1161/strokeaha.120.031960 ◽

2021 ◽

Author(s):

Raul G. Nogueira ◽

Jason M. Davies ◽

Rishi Gupta ◽

Ameer E. Hassan ◽

Thomas Devlin ◽

...

Keyword(s):

Artificial Intelligence ◽

Acute Stroke ◽

Systems Of Care ◽

Ct Perfusion ◽

Stroke Care ◽

Large Vessel ◽

Large Vessel Occlusion ◽

Vessel Occlusion ◽

Number Of Patients ◽

The Impact

Background and Purpose: The degree to which the coronavirus disease 2019 (COVID-19) pandemic has affected systems of care, in particular, those for time-sensitive conditions such as stroke, remains poorly quantified. We sought to evaluate the impact of COVID-19 in the overall screening for acute stroke utilizing a commercial clinical artificial intelligence platform. Methods: Data were derived from the Viz Platform, an artificial intelligence application designed to optimize the workflow of patients with acute stroke. Neuroimaging data on suspected patients with stroke across 97 hospitals in 20 US states were collected in real time and retrospectively analyzed with the number of patients undergoing imaging screening serving as a surrogate for the amount of stroke care. The main outcome measures were the number of computed tomography (CT) angiography, CT perfusion, large vessel occlusions (defined according to the automated software detection), and severe strokes on CT perfusion (defined as those with hypoperfusion volumes >70 mL) normalized as number of patients per day per hospital. Data from the prepandemic (November 4, 2019 to February 29, 2020) and pandemic (March 1 to May 10, 2020) periods were compared at national and state levels. Correlations were made between the inter-period changes in imaging screening, stroke hospitalizations, and thrombectomy procedures using state-specific sampling. Results: A total of 23 223 patients were included. The incidence of large vessel occlusion on CT angiography and severe strokes on CT perfusion were 11.2% (n=2602) and 14.7% (n=1229/8328), respectively. There were significant declines in the overall number of CT angiographies (−22.8%; 1.39–1.07 patients/day per hospital, P <0.001) and CT perfusion (−26.1%; 0.50–0.37 patients/day per hospital, P <0.001) as well as in the incidence of large vessel occlusion (−17.1%; 0.15–0.13 patients/day per hospital, P <0.001) and severe strokes on CT perfusion (−16.7%; 0.12–0.10 patients/day per hospital, P <0.005). The sampled cohort showed similar declines in the rates of large vessel occlusions versus thrombectomy (18.8% versus 19.5%, P =0.9) and comprehensive stroke center hospitalizations (18.8% versus 11.0%, P =0.4). Conclusions: A significant decline in stroke imaging screening has occurred during the COVID-19 pandemic. This analysis underscores the broader application of artificial intelligence neuroimaging platforms for the real-time monitoring of stroke systems of care.

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