Automated ASPECTS Segmentation and Scoring Tool: a Method Tailored for a Colombian Telestroke Network.

To evaluate our two non-machine learning (non-ML)-based algorithmic approaches for detecting early ischemic infarcts on brain CT images of patients with acute ischemic stroke symptoms, tailored to our local population, to be incorporated in our telestroke software. One-hundred and thirteen acute stroke patients, excluding hemorrhagic, subacute, and chronic patients, with accessible brain CT images were divided into calibration and test sets. The gold standard was determined through consensus among three neuroradiologist. Four neuroradiologist independently reported Alberta Stroke Program Early CT Scores (ASPECTSs). ASPECTSs were also obtained using a commercial ML solution (CMLS), and our two methods, namely the Mean Hounsfield Unit (HU) relative difference (RELDIF) and the density distribution equivalence test (DDET), which used statistical analyze the of the HUs of each region and its contralateral side. Automated segmentation was perfect for cortical regions, while minimal adjustment was required for basal ganglia regions. For dichotomized-ASPECTSs (ASPECTS < 6) in the test set, the area under the receiver operating characteristic curve (AUC) was 0.85 for the DDET method, 0.84 for the RELDIF approach, 0.64 for the CMLS, and ranged from 0.71-0.89 for the neuroradiologist. The accuracy was 0.85 for the DDET method, 0.88 for the RELDIF approach, and was ranged from 0.83 - 0.96 for the neuroradiologist. Equivalence at a margin of 5% was documented among the DDET, RELDIF, and gold standard on mean ASPECTSs. Noninferiority tests of the AUC and accuracy of infarct detection revealed similarities between both DDET and RELDIF, and the CMLS, and with at least one neuroradiologist. The alignment of our methods with the evaluations of neuroradiologist and the CMLS indicates the potential of our methods to serve as supportive tools in clinical settings, facilitating prompt and accurate stroke diagnosis, especially in health care settings, such as Colombia, where neuroradiologist are limited.

Poor prediction of stroke mimics using validated stroke mimic scales in a large academic telestroke network.

INTRODUCTION: Telestroke enables timely and remote evaluation of patients with acute stroke syndromes. However, stroke mimics represent more than 30% of this population. Given the resources required for the management of suspected acute ischemic stroke, several scales have been developed to help identify stroke mimics. Our objective was to externally validate four mimic scales (Khan Score (KS), TeleStroke Mimic Score (TS), simplified FABS (sFABS), and FABS) in a large, academic telestroke network. METHODS: This is a retrospective, Institutional Review Board-exempt study of all patients who presented with suspected acute stroke syndromes and underwent video evaluation between 2019 and 2020 at a large academic telestroke network. Detailed chart review was conducted to extract both the variables needed to apply the mimic scales, the final diagnosis confirmed by final imaging, and discharge diagnosis (cerebral ischemic vs stroke mimic). Overall score performance was assessed by calculating the area under curve (AUC). Youden cutpoint was established for each scale and used to calculate sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and accuracy. RESULTS: A total of 1043 patients were included in the final analysis. Final diagnosis of cerebral ischemia was made in 63.5% of all patients, and stroke mimic was diagnosed in 381 patients (36.5%). To predict stroke mimic, TS had the highest AUC (68.3), sensitivity (99.2%), and NPV (77.3%); KS had the highest accuracy (67.5%); FABS had the highest specificity (55.1%), and PPV (72.5%). CONCLUSIONS: While each scale offers unique strengths, none was able to identify stroke mimics effectively enough to confidently apply in clinical practice. There remains a need for significant clinical judgment to determine the likelihood of stroke mimic at presentation.

Closing the Sex-Based Differences in Stroke Care: Insights from a Large Telestroke Network on Treatment and Postacute Management.

Background: The evolution of ischemic stroke is different accordin'g to sex and is one of the main causes of death in women. Previous studies have shown that women are less likely to receive acute treatment, and stroke center type is an important predictor of door-to-needle times. We investigated whether women are attended in a similar way to men in the telestroke network with specialized stroke physicians. Methods: A prospective registry of ischemic strokes recorded in the centralized Andalusian telestroke network was analyzed, focusing on sex differences. Demographic data, clinical characteristics, neuroimaging data, treatment intervals, follow-up visits, and clinical outcomes were collected. Results: A total of 3009 suspected stroke patients were attended to in the telestroke network from 2019 to 2023, of which 42.74% were women. Women were older (p < 0.001) and less independent upon arrival (p = 0.006) than men. There was no difference in the treatment received or in the treatment time intervals between the groups. Importantly, there was no difference in modified Rankin scale scores at 3 months between sexes. At 3 months post-stroke follow-up, women had fewer imaging tests (p = 0.018) and fewer outpatient visits (p < 0.001) than men. Conclusions: No significant difference between men and women has been found in the acute treatment of stroke in a large telestroke network. However, the same is not true for the follow-up and management of patients after the acute phase. This fact supports that strict adherence to protocols and specialization of care lead to equal care that avoids sex differences in stroke treatment and functional outcomes.

Implementation of an optimised tele-medicine platform for stroke in South Australia improves patient care.

Background: Patients with a large vessel occlusion require a transfer from a primary stroke centre to access thrombectomy, often over significant distances in regional areas. We sought to optimise stroke care access in the regional South Australian Tele-Strokeservice (SATS) to improve patient access to thrombectomy. Methods: We undertook a 24-month interventional historically controlled cohort study comparing acute stroke care metrics in the SATS. This consisted of a 12-month control period and a 12-month intervention monitoring period. The study intervention considered of an education package provided to the regional hospitals, a stroke neurologist roster to receive consultations and the intervention of a centralised tele-stroke system to provide treatment advice and organise patient transfers where needed. The SATS services 61 rural hospitals in South Australia, and Alice Springs in the Northern Territory. Suspected acute stroke patients presenting to the participating regional hospitals in SATS network where a telehealth consultation took place. Results: Over the study period, there were 919 patient referrals, with 449 consultations in the pre-intervention phase and 470 in the post-intervention phase. Demographic features in both epochs were similar. The post-intervention phase was associated with shorter door-to-scan time (35 min, IQR: 18,70; vs. 49 min, IQR:25,102, p < 0.0001), faster door-to-thrombolysis time (58 min, IQR: 39,91, vs.83 min, IQR: 55,100, p = 0.0324) and a higher portion of patients treated with thrombectomy (54, 11.5% vs. 26, 5.8%, p = 0.002). Conclusion: An optimised implementation of a streamlined telehealth platform with ongoing education and feedback to referring sites was associated with improved stroke workflow metrics and higher thrombectomy rates.

Holo-Stroke: Assessing for Immersive Stroke Care Through Stroke Hologram Teleportation.

Background: Augmented reality enables the wearer to see both their physical environment and virtual objects. Holograms could allow 3D video of providers to be transmitted to distant sites, allowing patients to interact with virtual providers as if they are in the same physical space. Our aim was to determine if Tele-Stroke augmented with Holo-Stroke, compared with Tele-Stroke alone, could improve satisfaction and perception of immersion for the patient. Methods: Kinect cameras positioned at 90-degree intervals around the hub practitioner were used. Cameras streamed real-time optical video to a unity point-cloud program where the data were stitched together in a 360-degree view. The resultant hologram was positioned in 3D space and was visible through the head-mounted display by the patient. Radiology images were shared in Tele-Stroke and via hologram. Likert satisfaction questions were administered. Wilcoxon signed-rank testing was used. Results: Each of the 30 neurology clinic participants scored both Tele-Stroke and Holo-Stroke. Out of these, 29 patients completed the assessments (1 failure owing to computer reboot). Average age was 52 years, with 53.3% of the patients being female, 70.0% being White, and 13.3% being Hispanic. Likert scale score median "Overall" was 32 Tele-Stroke versus 48 Holo-Stroke (p < 0.00001), "Immersion" was 5 versus 10 (p < 0.00001), "Beneficial Technique" was 6 versus 10 (p < 0.00001), and "Ability to See Images" was 5 versus 10 (p < 0.00001). Discussion: Holo-Stroke 3D holographic Tele-Stroke exams resulted in feasibility, satisfaction, and high perception of immersion for the patient. Patients were enthusiastic for the more immersive, personal discussion with their provider and a robust way to experience radiology images. Though further assessments are needed, Holo-Stroke can help the provider "be there, not just see there!"

Prehospital neurologic assessment using mobile phones: Comparison between neurologists and emergency physicians.

BACKGROUND: Ambulance-based telestroke may be a promising solution to improving stroke care. We assessed the technical feasibility and reliability of prehospital evaluations using commercial mobile phones with fifth-generation wireless communication technology. METHODS: Six standardized patients portrayed scripted stroke scenarios during ambulance transport in an urban city and were remotely evaluated by independent raters using tablets (three neurologists and three emergency physicians) in a hospital, assisted by paramedics (trained in National Institute of Health Stroke Scale [NIHSS] assessment) in the ambulance; commercial cellular networks were utilized for videoconferencing transmission. The primary outcomes were mean difference (MD) and correlation of NIHSS scores between the face-to-face and remote assessments. We also examined the Bland-Altman plot for itemized NIHSS components, and Kaplan-Meier curves were used to compare the differences in the duration of the two evaluations between neurologists and emergency physicians. RESULTS: We conducted 32 ambulance runs and successfully completed all NIHSS examinations. No significant difference was found between the face-to-face and remote evaluations (MD, 0.782; 95% confidence interval [CI], -0.520-0.395). The correlation of NIHSS scores between the two methods was 0.994 (95% CI, 0.945-1.026), and three items exhibited the highest frequency of runs, with score differences between the two methods. There were no significant differences between neurologists and emergency physicians in the mean evaluation duration and NIHSS scores for the two methods. CONCLUSION: Prehospital evaluation using commercial mobile phones with fifth-generation wireless communication technology is feasible and reliable during ambulance transport in urban areas. Emergency physicians and neurologists performed similarly in stroke evaluations.

The Role of Artificial Intelligence-Powered Imaging in Cerebrovascular Accident Detection.

Cerebrovascular accidents (CVAs) often occur suddenly and abruptly, leaving patients with long-lasting disabilities that place a huge emotional and economic burden on everyone involved. CVAs result when emboli or thrombi travel to the brain and impede blood flow; the subsequent lack of oxygen supply leads to ischemia and eventually tissue infarction. The most important factor determining the prognosis of CVA patients is time, specifically the time from the onset of disease to treatment. Artificial intelligence (AI)-assisted neuroimaging alleviates the time constraints of analysis faced using traditional diagnostic imaging modalities, thus shortening the time from diagnosis to treatment. Numerous recent studies support the increased accuracy and processing capabilities of AI-assisted imaging modalities. However, the learning curve is steep, and huge barriers still exist preventing a full-scale implementation of this technology. Thus, the potential for AI to revolutionize medicine and healthcare delivery demands attention. This paper aims to elucidate the progress of AI-powered imaging in CVA diagnosis while considering traditional imaging techniques and suggesting methods to overcome adoption barriers in the hope that AI-assisted neuroimaging will be considered normal practice in the near future. There are multiple modalities for AI neuroimaging, all of which require collecting sufficient data to establish inclusive, accurate, and uniform detection platforms. Future efforts must focus on developing methods for data harmonization and standardization. Furthermore, transparency in the explainability of these technologies needs to be established to facilitate trust between physicians and AI-powered technology. This necessitates considerable resources, both financial and expertise wise which are not available everywhere.

Telestroke network to robotic telestroke network: How to upgrade regional stroke care to include remote robotics?

Objective: Selected patients with large vessel occlusion (LVO) strokes can benefit from endovascular therapy (EVT). However, the effectiveness of EVT is largely dependent on how quickly the patient receives treatment. Recent technological developments have led to the first neurointerventional treatments using robotic assistance, opening up the possibility of performing remote stroke interventions. Existing telestroke networks provide acute stroke care, including remote administration of intravenous thrombolysis (IVT). Therefore, the introduction of remote EVT in distant stroke centers requires an adaptation of the existing telestroke networks. The aim of this work was to propose a framework for centers that are potential candidates for telerobotics according to the resources currently available in these centers. Methods: In this paper, we highlight the future challenges for including remote robotics in telestroke networks. A literature review provides potential solutions. Results: Existing telestroke networks need to determine which centers to prioritize for remote robotic technologies based on objective criteria and cost-effectiveness analysis. Organizational challenges include regional coordination and specific protocols. Technological challenges mainly concern telecommunication networks. Conclusions: Specific adaptations will be necessary if regional telestroke networks are to include remote robotics. Some of these can already be put in place, which could greatly help the future implementation of the technology.

Poisson Modeling Predicts Acute Telestroke Patient Call Volume.

Background: Predicting the frequency of calls for telestroke and emergency teleneurology consultation is essential to prepare staffing for the immediate management of time-sensitive strokes. In this study, we evaluate Poisson distribution count data using a generalized linear model that predicts the volume of hourly telestroke calls over a 24-h period. Methods: We performed an Institutional Review Board approved retrospective cohort review of patients (January 2019-December 2022) from an institutional telestroke database at a large nonprofit multihospital system in the United States. All patients ≥18 years with a telestroke activation were included. Telestroke calls were quantified in frequency per day and analyzed by multiple time and date intervals. Poisson probability mass function (PMF) and cumulative distribution function (CDF) were used to predict call probabilities. A univariable Poisson regression model was fit to predict call volumes. Results: A total of 8,499 patients at 21 hospitals met inclusion criteria, the mean calls/day were 5.82 ± 2.54, and mean calls/day within each hour increment ranged from a minimum of 0.07 from 5 a.m. to 6 a.m. to a maximum of 0.45 from 7 p.m. to 8 p.m. The Poisson distribution was the most appropriate parametric probability model for these data, confirmed by the fit of the data to the expected distributions corresponding to the calculated means. The predicted probabilities of call frequencies by hour were calculated using the Poisson PMF and CDF; the probability of two or fewer calls/day by hour ranged from 98.9% to 99.9%. Univariable Poisson regression modeled an increase of future calls/day from 6.7 calls/day in July 2023 to 7.6 calls/day in October 2025. Conclusion: Poisson modeling closely fits telestroke call volumes, predicts the future volumes, and can be applied to any health system in which the mean call volume is known, which may inform the number of physicians needed to cover calls in real-time.

Extended Window Thrombolytics for Ischemic Stroke: A Telestroke versus In-person Experience.

Background and Purpose: Telestroke evaluation of patients with acute ischemic stroke is supported by American Heart and Stroke Association Guidelines. However, there is no data on outcomes or safety of administering IV thrombolytic stroke therapy using extended window criteria (>4.5 h since onset of symptoms with a hyperacute MRI diffusion T2/FLAIR mismatch) via telestroke. Here, we report adverse events and outcomes of extended-window thrombolysis by telestroke vs in-person care. Methods: We performed a retrospective cohort review from 2020 to 2022 of prospectively collected multinstitutional databases from a large, not-for-profit health system with both in-person stroke and telestroke care. The primary outcome was frequency of symptomatic intracranial hemorrhage (sICH). Secondary outcomes were favorable functional outcome at hospital discharge (modified Rankin Scale, mRS, 0-3) and discharge disposition. Results: A total of 33 patients were treated with extended-window thrombolysis (n = 20 in-person, n = 13 telestroke). The median NIH stroke scale was 6, and time since last known normal was similar (median [95% CI]: in-person 13 h [11-15 h] vs telestroke 12 h [9-16 h], P = .33). The sICH frequency was low and occurred in one patient (4.8% in-person vs 0% by telestroke). Favorable outcome at discharge was not different between in-person and telestroke care (median mRS [95% CI]: 2 [1-3] vs 1 [0-2], OR .0 [.0-1.8], P = .27), and discharge deposition was also similar. Conclusions: In patients eligible for extended window acute stroke treatment with thrombolytics, there was no difference in adverse events between telestroke and in-person care.

Recommendations for the organization of the teleconsultation service in a telestroke network.

Telestroke networks aim to improve acute stroke care within their catchment area. Through a teleconsultation service, the network centers provide support to network hospitals that lack continuous neurological expertise for acute stroke management decisions. Although the importance of telemedical treatment in stroke care is steadily increasing, so far no standards exist for the organization of the teleconsultation service in networks.To ensure a high-level of quality for all processes and measures concerning telemedical stroke treatment, the commission for telemedical stroke care of the German Stroke Society (Deutsche Schlaganfall-Gesellschaft, DSG) created the following recommendations on how to organize a teleconsultation service within a telestroke network. The recommendations are the result of an adjustment process between the authors and include guidance on requirements, qualifications, processes and quality management within the teleconsultation service.

The Role of Ophthalmology in Tele-Stroke Consults for Triaging Acute Vision Loss.

Advances in telemedicine have allowed physicians to provide care in areas that were previously geographically or practically inaccessible. Roughly 70% of all US hospital have less than 200 bed capacity and nearly 50% have fewer than 100 beds. These smaller hospitals often do not have specialists available for bedside patient care, making them potential beneficiaries of telemedicine medical specialty services. In 2005, the American Stroke Association proposed implementing telemedicine services in effort to increase access to acute stroke care in neurologically underserved areas such as small hospitals. Tele-stroke services have since become established across the country and are now utilized by approximately 30% of US hospitals. By reducing the time between presentation and evaluation by a stroke specialist, tele-stroke programs have successfully increased patient access to life-saving treatment with tissue-plasminogen activator (t-PA) treatments. This change has been especially profound remote and underserved community hospitals. However in the evaluation of acute vision loss, an area where ophthalmology and stroke care overlap, increased reliance on tele-stroke services has contributed to some unique challenges. Acute vision has a complex differential and is commonly a result of conditions other than stroke. When tele-stroke services are engaged for the evaluation of acute vision loss, the neurologist is asked to make medical decisions without complete information about the eye. This situation can expose patients to costly or inappropriate testing, unnecessary hospitalizations, or lead to delayed diagnosis and treatment of non-neurologic conditions of the eye. The goal of this paper is to provide an overview of the overlap between stroke and vision loss, highlight the challenges inherent in using tele-stroke in evaluating acute vision loss and to offer our comments on how increased communication between emergency medicine, ophthalmology, and neurology services can ensure that patients with vision loss receive the highest standard of care in all hospitals.

Is telestroke more effective than conventional treatment for acute ischemic stroke? A systematic review and meta-analysis of patient outcomes and thrombolysis rates.

BACKGROUND: Telestroke systems operate through remote communication, providing distant stroke evaluation through expert healthcare providers. The aim of this study was to assess whether the implementation of a telestroke system influenced stroke treatment outcomes in acute ischemic stroke (AIS) patients compared with conventional in-person treatment. AIMS: The study group evaluated multiple studies from electronic databases, comparing telemedicine (TM) and non-telemedicine (NTM) AIS patients between 1999 and 2022. We aimed to evaluate baseline characteristics, critical treatment times, and clinical outcomes. SUMMARY OF REVIEW: A total of 12,540 AIS patients were included in our study with 7936 (63.9%) thrombolyzed patients. Of the thrombolyzed patients, 4150 (51.7%) were treated with TM, while 3873 (48.3%) were not. The mean age of TM and NTM cohorts was 70.45 ± 4.68 and 70.42 ± 4.63, respectively (p > 0.05). Mean National Institute of Health Stroke Scale scores were comparable, with the TM group reporting a non-significantly higher mean (11.89 ± 3.29.6 vs. 11.13 ± 3.65, p > 0.05). No significant difference in outcomes was found for symptoms onset-to-intravenous tissue plasminogen activator (ivtPA) times (144.09 ± 18.87 vs. 147.18 ± 25.97, p = 0.632) and door-to-needle times (73.03 ± 20.04 vs. 65.91 ± 25.96, p = 0.321). Modified Rankin scale scores (0-2) were evaluated, and no significant difference was detected between cohorts (odds ratio (OR): 1.06, 95% confidence interval (CI): 0.89-1.29, p = 0.500). Outcomes did not indicate any significance between both cohorts for 90-day mortality (OR: 1.16, 95% CI: 0.94-1.43, p = 0.17) or symptomatic intracranial hemorrhage (OR: 0.99, 95% CI: 0.73-1.34, p = 0.93). Results between groups were also non-significant when analyzing the rate of thrombolysis with ivtPA (30.86%± 30.7 vs. 20.5%± 18.6, p = 0.372) and endovascular mechanical thrombectomy (11.8%± 11.7 vs. 18.7%± 18.9, p = 0.508). CONCLUSION: The use of telestroke in the treatment of AIS patients is safe with minimal non-significant differences in long-term outcomes and rates of thrombolysis compared with face-to-face treatment. Further studies comparing the different methods of TM are needed to assess the efficacy of TM in stroke treatment.

Do digital health interventions hold promise for stroke prevention and care in Black and Latinx populations in the United States? A scoping review.

BACKGROUND: Black and Latinx populations are disproportionately affected by stroke and are likely to experience gaps in health care. Within fragmented care systems, remote digital solutions hold promise in reversing this pattern. However, there is a digital divide that follows historical disparities in health. Without deliberate attempts to address this digital divide, rapid advances in digital health will only perpetuate systemic biases. This study aimed to characterize the range of digital health interventions for stroke care, summarize their efficacy, and examine the inclusion of Black and Latinx populations in the evidence base. METHODS: We searched PubMed, the Web of Science, and EMBASE for publications between 2015 and 2021. Inclusion criteria include peer-reviewed systematic reviews or meta-analyses of experimental studies focusing on the impact of digital health interventions on stroke risk factors and outcomes in adults. Detailed information was extracted on intervention modality and functionality, clinical/behavioral outcome, study location, sample demographics, and intervention results. RESULTS: Thirty-eight systematic reviews met inclusion criteria and yielded 519 individual studies. We identified six functional categories and eight digital health modalities. Case management (63%) and health monitoring (50%) were the most common intervention functionalities. Mobile apps and web-based interventions were the two most commonly studied modalities. Evidence of efficacy was strongest for web-based, text-messaging, and phone-based approaches. Although mobile applications have been widely studied, the evidence on efficacy is mixed. Blood pressure and medication adherence were the most commonly studied outcomes. However, evidence on the efficacy of the various intervention modalities on these outcomes was variable. Among all individual studies, only 38.0% were conducted in the United States (n = 197). Of these U.S. studies, 54.8% adequately reported racial or ethnic group distribution. On average, samples were 27.0% Black, 17.1% Latinx, and 63.4% White. CONCLUSION: While evidence of the efficacy of selected digital health interventions, particularly those designed to improve blood pressure management and medication adherence, show promise, evidence of how these interventions can be generalized to historically underrepresented groups is insufficient. Including these underrepresented populations in both digital health experimental and feasibility studies is critical to advancing digital health science and achieving health equity.

Real-time video analysis allows the identification of large vessel occlusion in patients with suspected stroke: feasibility trial of a "telestroke" pathway in Northwestern Switzerland.

Background and aim: Loss of time is a major obstacle to efficient stroke treatment. Our telestroke path intends to optimize prehospital triage using a video link connecting ambulance personnel and a stroke physician. The objectives were as follows: (1) To identify patients suffering a stroke and (2) in particular large vessel occlusion (LVO) strokes as candidates for endovascular treatment. We have chosen the Rapid Arterial Occlusion Evaluation (RACE) scale for this purpose. Methods: This analysis aimed to verify the feasibility of prehospital stroke identification by video assessment. In this prospective telestroke cohort study, we included 97 subjects, in which the RACE score (items: facial palsy, arm and leg motor function, head and gaze deviation, and aphasia or agnosia) was applied, and the assessment videotaped by a trained member of the Emergency Medical Services (EMS) in the field using a mobile device. Each recorded patient video was independently assessed by three experienced stroke physicians from a certified stroke center and compared to the neuroimaging gold standard. Within this feasibility study, the stroke code was not altered by the outcome of the RACE assessment, and all patients underwent the standard procedures within the emergency unit. Results: We analyzed 97 patients (median age 78 years, 53% women), of whom 51 (52.6%) suffered an acute stroke, 12 (23.5%) of which were due to an LVO and 46 patients had symptoms mimicking a stroke. The sensitivity of stroke identification was 77.8%, and specificity was 53.6%. In regard to the identification of an LVO, sensitivity was 69.4% and specificity was 84.3%. The inter-rater agreement in the RACE-score assessment was ICC = 0.82 (intraclass-correlation coefficient). Conclusion: These results confirm our hypothesis that the local telestroke concept is feasible. It allows correct (i) stroke and (ii) LVO identification in the majority of the cases and thus has the potential to assist in efficient prehospital triage.

Prehospital stroke scales outperform National Institutes of Health Stroke Scale in predicting large vessel occlusion in a large academic telestroke network.

INTRODUCTION: Prehospital telestroke evaluations may improve stroke triage compared to paramedic-applied large vessel occlusion scales, but ambulance-based video National Institutes of Health Stroke Scale assessments are challenging. The accuracy of telestroke-administered large vessel occlusion scales has not been investigated, so we sought to evaluate this further. METHODS: This retrospective study included all in-hospital telestroke encounters in a large academic telestroke network from 2019 to 2020. We retrospectively calculated seven large vessel occlusion scales using the in-hospital telestroke National Institutes of Health Stroke Scale (Rapid Arterial oCclusion Evaluation, Cincinnati Stroke Triage Assessment Tool, Field Assessment Stroke Triage for Emergency Destination, 3-Item Stroke Scale, Prehospital Acute Stroke Severity, Vision-Aphasia-Neglect, and Gaze-Face-Arm-Speech-Time). Diagnostic performance was assessed via sensitivity, specificity, negative predictive value, positive predictive value, positive likelihood ratio, negative likelihood ratio, and accuracy using established scale thresholds. These results were compared to the National Institutes of Health Stroke Scale at thresholds of 6, 8, and 10. The area under curve was calculated using c-statistics by treating scales as continuous variables. RESULTS: A total of 625 patients were included; 111 (17.8%) patients had an anterior large vessel occlusion, 118 (18.9%) patients had any large vessel occlusion, and 182 (29.1%) patients had stroke mimic diagnosis. The mean age (SD) was 67.9 (15.9), 48.3% were female, and 93.4% were white. The Mean National Institutes of Health Stroke Scale (SD) was 14.9 (8.4) for patients with anterior large vessel occlusion, 4.7 (5.0) for patients with non-large vessel occlusion ischemic stroke, and 4.4 (5.8) for stroke mimic (p < 0.001). Compared to the National Institutes of Health Stroke Scale, Field Assessment Stroke Triage for Emergency Destination, and Rapid Arterial oCclusion Evaluation scales demonstrated higher accuracy and area under curve for large vessel occlusion detection. DISCUSSION: Both the Field Assessment Stroke Triage for Emergency Destination and Rapid Arterial oCclusion Evaluation scales outperformed the National Institutes of Health Stroke Scale for large vessel occlusion detection in patients evaluated by in-hospital telestroke. These scales may be valid alternatives to the National Institutes of Health Stroke Scale examination in this setting.

User profile of people contacting a stroke helpline (StrokeLine) in Australia: a retrospective cohort study.

BACKGROUND: StrokeLine is a specialised telephone helpline led by health professionals in Australia. AIMS: (i) To describe the profile of StrokeLine callers; (ii) to understand the reasons people engage with the service and (iii) how StrokeLine responded to the caller's needs. METHODS: Routine call data were obtained from the StrokeLine between November 2019 and November 2020. Data were extracted and descriptive analyses performed. De-identified free-text data were obtained separately for November 2019 and June 2020 and analysed using qualitative content analysis. RESULTS: Of the 1429 calls most were from carers, family and friends (38%) or the stroke survivor themselves (34%). Most calls were made by women (64%) and the average age of the stroke survivor was ≥65 years (33%) with the time since the stroke occurred <1 year. The main reason for calling was to manage stroke-related impairments (40%). Providing information, support and advice was the most common action provided by StrokeLine staff (25%). Content analysis of 225 calls revealed most stroke survivors called for emotional support, while carers sought more practical guidance. StrokeLine provided information for referral to relevant services and guidance on what to do next. CONCLUSIONS: Most calls were received from family and carers, as well as stroke survivors. They contacted StrokeLine for information and advice, practical solutions, emotional support, and referral advice to other services.

Feasibility of robotic neuroendovascular surgery.

BACKGROUND: Several recent reports of CorPath GRX vascular robot (Cordinus Vascular Robotics, Natick, MA) use intracranially suggest feasibility of neuroendovascular application. Further use and development is likely. During this progression it is important to understand endovascular robot feasibility principles established in cardiac and peripheral vascular literature which enabled extension intracranially. Identification and discussion of robotic proof of concept principals from sister disciplines may help guide safe and accountable neuroendovascular application. OBJECTIVE: Summarize endovascular robotic feasibility principals established in cardiac and peripheral vascular literature relevant to neuroendovascular application. METHODS: Searches of PubMed, Scopus and Google Scholar were conducted under PRISMA guidelines1 using MeSH search terms. Abstracts were uploaded to Covidence citation review (Covidence, Melbourne, AUS) using RIS format. Pertinent articles underwent full text review and findings are presented in narrative and tabular format. RESULTS: Search terms generated 1642 articles; 177, 265 and 1200 results for PubMed, Scopus and Google Scholar respectively. With duplicates removed, title review identified 176 abstracts. 55 articles were included, 45 from primary review and 10 identified during literature review. As it pertained to endovascular robotic feasibility proof of concept 12 cardiac, 3 peripheral vascular and 5 neuroendovascular studies were identified. CONCLUSIONS: Cardiac and peripheral vascular literature established endovascular robot feasibility and efficacy with equivalent to superior outcomes after short learning curves while reducing radiation exposure >95% for the primary operator. Limitations of cost, lack of haptic integration and coaxial system control continue, but as it stands neuroendovascular robotic implementation is worth continued investigation.