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In this review, we briefly introduce recent developments and updates in neurocritical care in the treatment of stroke, including both ischemic and hemorrhagic stroke. Time to recanalization remains the major rate limiting step in the treatment of acute ischemic stroke as only a minority of patients arrive within a timeframe appropriate for treatment. Whether caring for a patient following ischemic or hemorrhagic stroke, the principle focus of neurocritical care for acute brain catastrophes is the identification and prevention of secondary brain injury. While much advancement is still needed for optimum care of patients suffering from ischemic or hemorrhagic stroke, the field continues to evolve in ways that promote improved patient outcomes.

The last 10 years have seen a major shift in management of large vessel ischemic stroke with changes towards ever-expanding use of reperfusion therapies (intravenous thrombolysis and mechanical thrombectomy). These strategies 'open the door' to acute therapeutics for ischemic tissue, and we should investigate novel therapeutic approaches to enhance survival of recently reperfused brain. Key insights into new approaches have been provided through translational research models and preclinical paradigms, and through detailed research on ischemic mechanisms. Additional recent clinical trials offer exciting salvos into this new strategy of pairing reperfusion with neuroprotective therapy. This pairing strategy can be employed using drugs that have shown neuroprotective efficacy; neurointerventionalists can administer these during or immediately after reperfusion therapy. This represents a crucial moment when we emphasize reperfusion, and have the technological capability along with the clinical trial experience to lead the way in multiprong approaches to stroke treatment. [ABSTRACT FROM AUTHOR]

Background: Emergent Large Vessel Occlusion (ELVO) stroke causes devastating vascular events which can lead to significant cognitive decline and dementia. In the subset of ELVO subjects treated with mechanical thrombectomy (MT) at our institution, we aimed to identify systemic and intracranial proteins predictive of cognitive function at time of discharge and at 90-days. These proteomic biomarkers may serve as prognostic indicators of recovery, as well as potential targets for novel/existing therapeutics to be delivered during the subacute stage of stroke recovery. Methods: At the University of Kentucky Center for Advanced Translational Stroke Sciences, the BACTRAC tissue registry (clinicaltrials.gov; NCT 03153683) of human biospecimens acquired during ELVO stroke by MT is utilized for research. Clinical data are collected on each enrolled subject who meets inclusion criteria. Blood samples obtained during thrombectomy were sent to Olink Proteomics for proteomic expression values. Montreal Cognitive Assessments (MoCA) were evaluated with categorical variables using ANOVA and t-tests, and continuous variables using Pearson correlations. Results: There were n = 52 subjects with discharge MoCA scores and n = 28 subjects with 90-day MoCA scores. Several systemic and intracranial proteins were identified as having significant correlations to discharge MoCA scores as well as 90-day MoCA scores. Highlighted proteins included s-DPP4, CCL11, IGFBP3, DNER, NRP1, MCP1, and COMP. Conclusion: We set out to identify proteomic predictors and potential therapeutic targets related to cognitive outcomes in ELVO subjects undergoing MT. Here, we identify several proteins which predicted MoCA after MT, which may serve as therapeutic targets to lessen post-stroke cognitive decline. [ABSTRACT FROM AUTHOR]

Background Emergent large vessel occlusion (ELVO) acute ischemic stroke is a time- sensitive disease. Objective To describe our experience with artificial intelligence (AI) for automated ELVO detection and its impact on stroke workflow. Methods We conducted a retrospective chart review of code stroke cases in which VizAI was used for automated ELVO detection. Patients with ELVO identified by VizAI were compared with patients with ELVO identified by usual care. Details of treatment, CT angiography (CTA) interpretation by blinded neuroradiologists, and stroke workflow metrics were collected. Univariate statistical comparisons and linear regression analysis were performed to quantify time savings for stroke metrics. Results Six hundred and eighty consecutive code strokes were evaluated by AI; 104 patients were diagnosed with ELVO during the study period. Forty-five patients with ELVO were identified by AI and 59 by usual care. Sixty-nine mechanical thrombectomies were performed. Median time from CTA to team notification was shorter for AI ELVOs (7 vs 26 min; p<0.001). Door to arterial puncture was faster for transfer patients with ELVO detected by AI versus usual care transfer patients (141 vs 185 min; p=0.027). AI yielded a time savings of 22 min for team notification and a 23 min reduction in door to arterial puncture for transfer patients. Conclusions AI automated alerts can be incorporated into a comprehensive stroke center hub and spoke system of care. The use of AI to detect ELVO improves clinically meaningful stroke workflow metrics, resulting in faster treatment times for mechanical thrombectomy. [ABSTRACT FROM AUTHOR]

Background: Cerebral venous sinus thrombosis (CVST) is a rare but potentially morbid disease in the pediatric population, and the optimal treatment is not fully understood. Endovascular intervention for this condition has been rarely reported.Methods: The Stroke Thrombectomy and Aneurysm Registry was queried for patients aged less than or equal to 18 years undergoing endovascular treatment for CVST in the past 10 years. Clinical charts and radiographic data were retrospectively reviewed. Modified Rankin Score (mRS) at 90 days postprocedure was determined as the primary outcome.Results: A total of seven patients across five pediatric centers ranging from 7 to 16 years of age were identified with a mean follow-up of 28 months. All had underlying conditions predisposing to CVST. Endovascular intervention was undertaken due to neurological deterioration despite systemic anticoagulation; venous infarct was evident preoperatively in six of seven patients. Mechanical venous thrombectomy was attempted in all individuals, and intrasinus thrombolytic therapy was also performed in three cases. Six patients had favorable outcome with mRS 0 or 1 at 90 days postprocedure; one remained neurologically devastated.Conclusions: Endovascular treatment by an experienced interventionalist may be safe and effective in severe cases of CVST in children failing frontline therapy. Children with radiographic or clinical progression despite anticoagulation may be considered for endovascular intervention in a timely manner. [ABSTRACT FROM AUTHOR]

The rapid processing of perfusion and diffusion (RAPID) system for automating perfusion and diffusion data from head computed tomography has improved acute ischemic stroke treatment by quickly and accurately identifying those patients who may benefit from thrombectomy. Collateral scoring (CS) of cerebral arteries using computed tomography angiography (CTA) has proven useful in predicting postintervention infarct volumes and functional outcomes in ischemic stroke patients. Here we evaluate the relationship between CS and RAPID software in an effort to augment triage and provide improved predictability of functional outcomes in ischemic stroke patients. A retrospective review of 77 mechanical thrombectomy patients from January 2017 to October 2018 with large vessel occlusions of the anterior circulation who underwent RAPID and CTA imaging was performed. Baseline characteristics, RAPID data, CS, modified Rankin Scale score, and procedural data were collected. magnetic resonance imaging was used to calculate the postintervention stroke volume. CS inversely correlates with the volume of RAPID cerebral blood flow <30% (β= –18.131, 95% confidence interval [CI] –24.384 to –11.879, P < 0.001), RAPID Tmax >6s (β= –22.205, 95% CI –39.125 to –5.285, P = 0.011), postintervention stroke volume (β= –30.637, 95% CI –41.554 to –19.720, P < 0.001), and discharge National Institutes of Health Stroke Scale score (β= –1.922, 95% CI –3.575 to –0.269, P = 0.023). CS on CTA may be a useful way to identify patients who would benefit from mechanical thrombectomy and predict functional outcomes postintervention. CS may allow the stroke team to optimize the care of patients who may not be able to obtain RAPID analysis. [ABSTRACT FROM AUTHOR]