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      The use of transcranial ultrasound and clinical assessment to diagnose ischaemic stroke due to large vessel occlusion in remote and rural areas

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          Abstract

          Rapid endovascular thrombectomy, which can only be delivered in specialist centres, is the most effective treatment for acute ischaemic stroke due to large vessel occlusion (LVO). Pre-hospital selection of these patients is challenging, especially in remote and rural areas due to long transport times and limited access to specialist clinicians and diagnostic facilities. We investigated whether combined transcranial ultrasound and clinical assessment (“TUCA” model) could accurately triage these patients and improve access to thrombectomy. We recruited consecutive patients within 72 hours of suspected stroke, and performed non-contrast transcranial colour-coded ultrasonography within 24 hours of brain computed tomography. We retrospectively collected clinical information, and used hospital discharge diagnosis as the “gold standard”. We used binary regression for diagnosis of haemorrhagic stroke, and an ordinal regression model for acute ischaemic stroke with probable LVO, without LVO, transient ischaemic attacks (TIA) and stroke mimics. We calculated sensitivity, specificity, positive and negative predictive values and performed a sensitivity analysis. We recruited 107 patients with suspected stroke from July 2017 to December 2019 at two study sites: 13/107 (12%) with probable LVO, 50/107 (47%) with acute ischaemic stroke without LVO, 18/107 (17%) with haemorrhagic stroke, and 26/107 (24%) with stroke mimics or TIA. The model identified 55% of cases with probable LVO who would have correctly been selected for thrombectomy and 97% of cases who would not have required this treatment (sensitivity 55%, specificity 97%, positive and negative predictive values 75% and 93%, respectively). Diagnostic accuracy of the proposed model was superior to the clinical assessment alone. These data suggest that our model might be a useful tool to identify pre-hospital patients requiring mechanical thrombectomy, however a larger sample is required with the use of CT angiogram as a reference test.

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          Association Between Time to Treatment With Endovascular Reperfusion Therapy and Outcomes in Patients With Acute Ischemic Stroke Treated in Clinical Practice

          What is the relation between time to treatment and outcome from endovascular-recanalization therapy for acute ischemic stroke (AIS)? In this retrospective cohort study of 6756 patients with AIS in a US nationwide clinical registry, earlier onset to treatment was associated with improved outcomes, including, for every 15 minutes faster treatment: higher rates of independent ambulation (absolute increase, 1.14%), functional independence at discharge (absolute increase, 0.91%), and lower mortality/hospice discharge (absolute decrease, −0.77%). Among patients with AIS treated in routine clinical practice, shorter time to endovascular-recanalization therapy was associated with better outcomes. Randomized clinical trials suggest benefit of endovascular-reperfusion therapy for large vessel occlusion in acute ischemic stroke (AIS) is time dependent, but the extent to which it influences outcome and generalizability to routine clinical practice remains uncertain. To characterize the association of speed of treatment with outcome among patients with AIS undergoing endovascular-reperfusion therapy. Retrospective cohort study using data prospectively collected from January 2015 to December 2016 in the Get With The Guidelines-Stroke nationwide US quality registry, with final follow-up through April 15, 2017. Participants were 6756 patients with anterior circulation large vessel occlusion AIS treated with endovascular-reperfusion therapy with onset-to-puncture time of 8 hours or less. Onset (last-known well time) to arterial puncture, and hospital arrival to arterial puncture (door-to-puncture time). Substantial reperfusion (modified Thrombolysis in Cerebral Infarction score 2b-3), ambulatory status, global disability (modified Rankin Scale [mRS]) and destination at discharge, symptomatic intracranial hemorrhage (sICH), and in-hospital mortality/hospice discharge. Among 6756 patients, the mean (SD) age was 69.5 (14.8) years, 51.2% (3460/6756) were women, and median pretreatment score on the National Institutes of Health Stroke Scale was 17 (IQR, 12-22). Median onset-to-puncture time was 230 minutes (IQR, 170-305) and median door-to-puncture time was 87 minutes (IQR, 62-116), with substantial reperfusion in 85.9% (5433/6324) of patients. Adverse events were sICH in 6.7% (449/6693) of patients and in-hospital mortality/hospice discharge in 19.6% (1326/6756) of patients. At discharge, 36.9% (2132/5783) ambulated independently and 23.0% (1225/5334) had functional independence (mRS 0-2). In onset-to-puncture adjusted analysis, time-outcome relationships were nonlinear with steeper slopes between 30 to 270 minutes than 271 to 480 minutes. In the 30- to 270-minute time frame, faster onset to puncture in 15-minute increments was associated with higher likelihood of achieving independent ambulation at discharge (absolute increase, 1.14% [95% CI, 0.75%-1.53%]), lower in-hospital mortality/hospice discharge (absolute decrease, −0.77% [95% CI, −1.07% to −0.47%]), and lower risk of sICH (absolute decrease, −0.22% [95% CI, −0.40% to −0.03%]). Faster door-to-puncture times were similarly associated with improved outcomes, including in the 30- to 120-minute window, higher likelihood of achieving discharge to home (absolute increase, 2.13% [95% CI, 0.81%-3.44%]) and lower in-hospital mortality/hospice discharge (absolute decrease, −1.48% [95% CI, −2.60% to −0.36%]) for each 15-minute increment. Among patients with AIS due to large vessel occlusion treated in routine clinical practice, shorter time to endovascular-reperfusion therapy was significantly associated with better outcomes. These findings support efforts to reduce time to hospital and endovascular treatment in patients with stroke. This cohort study uses data from the Get With the Guidelines-Stroke registry to report associations between time to treatment and functional outcomes among patients in clinical practice with acute ischemic stroke treated with endovascular recanalization.
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            Mobile stroke units for prehospital thrombolysis, triage, and beyond: benefits and challenges.

            In acute stroke management, time is brain. Bringing swift treatment to the patient, instead of the conventional approach of awaiting the patient's arrival at the hospital for treatment, is a potential strategy to improve clinical outcomes after stroke. This strategy is based on the use of an ambulance (mobile stroke unit) equipped with an imaging system, a point-of-care laboratory, a telemedicine connection to the hospital, and appropriate medication. Studies of prehospital stroke treatment consistently report a reduction in delays before thrombolysis and cause-based triage in regard to the appropriate target hospital (eg, primary vs comprehensive stroke centre). Moreover, novel medical options for the treatment of stroke patients are also under investigation, such as prehospital differential blood pressure management, reversal of warfarin effects in haemorrhagic stroke, and management of cerebral emergencies other than stroke. However, crucial concerns regarding safety, clinical efficacy, best setting, and cost-effectiveness remain to be addressed in further studies. In the future, mobile stroke units might allow the investigation of novel diagnostic (eg, biomarkers and automated imaging evaluation) and therapeutic (eg, neuroprotective drugs and treatments for haemorrhagic stroke) options in the prehospital setting, thus functioning as a tool for research on prehospital stroke management.
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              Clinical Scales Do Not Reliably Identify Acute Ischemic Stroke Patients With Large-Artery Occlusion.

              It remains debated whether clinical scores can help identify acute ischemic stroke patients with large-artery occlusion and hence improve triage in the era of thrombectomy. We aimed to determine the accuracy of published clinical scores to predict large-artery occlusion.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2 October 2020
                2020
                : 15
                : 10
                : e0239653
                Affiliations
                [1 ] Centre for Rural Health, University of Aberdeen, Inverness, United Kingdom
                [2 ] Department of Radiology, Raigmore Hospital, NHS Highland, Inverness, United Kingdom
                [3 ] Department of Stroke and Rehabilitation Medicine, Raigmore Hospital, NHS Highland, Inverness, United Kingdom
                Instituto Mexicano del Seguro Social (IMSS) HGZ 2, MEXICO
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-0267-1903
                http://orcid.org/0000-0002-4123-8248
                Article
                PONE-D-20-18924
                10.1371/journal.pone.0239653
                7531787
                33007053
                799569e2-2fd7-4609-ba22-501f0c9e1f2d
                © 2020 Antipova et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 19 June 2020
                : 7 September 2020
                Page count
                Figures: 7, Tables: 4, Pages: 18
                Funding
                The authors received no specific funding for this work. Leila Eadie’s work was funded by the European Space Agency SatCare grant. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Diagnostic Medicine
                Diagnostic Radiology
                Ultrasound Imaging
                Research and Analysis Methods
                Imaging Techniques
                Diagnostic Radiology
                Ultrasound Imaging
                Medicine and Health Sciences
                Radiology and Imaging
                Diagnostic Radiology
                Ultrasound Imaging
                Medicine and Health Sciences
                Medical Conditions
                Cerebrovascular Diseases
                Stroke
                Ischemic Stroke
                Medicine and Health Sciences
                Neurology
                Cerebrovascular Diseases
                Stroke
                Ischemic Stroke
                Medicine and Health Sciences
                Vascular Medicine
                Stroke
                Ischemic Stroke
                Medicine and Health Sciences
                Medical Conditions
                Cerebrovascular Diseases
                Stroke
                Hemorrhagic Stroke
                Medicine and Health Sciences
                Neurology
                Cerebrovascular Diseases
                Stroke
                Hemorrhagic Stroke
                Medicine and Health Sciences
                Vascular Medicine
                Stroke
                Hemorrhagic Stroke
                Medicine and Health Sciences
                Clinical Medicine
                Signs and Symptoms
                Hemorrhage
                Medicine and Health Sciences
                Vascular Medicine
                Hemorrhage
                Medicine and Health Sciences
                Critical Care and Emergency Medicine
                Triage
                Physical Sciences
                Physics
                Acoustics
                Medicine and Health Sciences
                Diagnostic Medicine
                Research and Analysis Methods
                Imaging Techniques
                Neuroimaging
                Computed Axial Tomography
                Biology and Life Sciences
                Neuroscience
                Neuroimaging
                Computed Axial Tomography
                Medicine and Health Sciences
                Diagnostic Medicine
                Diagnostic Radiology
                Tomography
                Computed Axial Tomography
                Research and Analysis Methods
                Imaging Techniques
                Diagnostic Radiology
                Tomography
                Computed Axial Tomography
                Medicine and Health Sciences
                Radiology and Imaging
                Diagnostic Radiology
                Tomography
                Computed Axial Tomography
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

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