Streamlining of prehospital stroke management: the golden hour

Implementation of regional Acute Stroke Care Map increases thrombolysis rates in urban areas of China: an interrupted time series analysis

BACKGROUND

Stroke, a leading cause of global disability, where timely thrombolysis is crucial for favorable outcomes. Despite initiatives like Acute Stroke Care Maps (ASCaMs) in China aiming to improve care continuity and thrombolysis rates, the long-term effectiveness of these interventions in urban settings remains underexplored.

METHODS

This retrospective cohort study investigates the role of the Shenyang ASCaM in improving the thrombolysis rate with tissue plasminogen activator within 4.5 hours of ischemic stroke onset in 30 hospitals. Using interrupted time series (ITS) analysis, it compares outcomes before and after ASCaM's implementation from April 2019 to December 2021. The ASCaM strategy, featuring EMS prenotification, rapid triage, and immediate neuroimaging, is assessed. Regression models, adjusted for patient demographics and clinical scores, evaluate the intervention's impact, controlling for potential confounders.

RESULTS

In the study, 2676 patients were evaluated before the implementation of the Shenyang ASCaM, and 8277 patients were assessed during its implementation. Thrombolysis rates within the vital 4.5-hour window rose significantly from 59% before ASCaM to 72% during its implementation (P < .001), and door-to-needle time (DNT) decreased significantly by 12.269 minutes (P < .0001). Early neurological deterioration (END) incidents decreased significantly from 44% to 39.2% (adjusted OR = 0.820, P = .001), indicating improved stroke care efficiency and outcomes. ITS analysis showed a pre-implementation monthly decrease in thrombolysis rates of 0.95%, countered by a post-implementation immediate surge of 6.21% and a sustained improvement at a rate of 0.13% per month. Furthermore, Post-ASCaM, DNT reduced to 52.42 minutes, thrombolysis rates increased to 72.3%, and END incidence decreased (adjusted OR = 0.820, P = .001), indicating improved stroke care efficiency and outcomes.

CONCLUSION

Our findings confirm that China's ASCaMs significantly enhance thrombolysis rates and ensure care continuity in managing acute stroke, indicating their long-term effectiveness in urban settings. This contributes to global stroke care improvements, emphasizing the potential for wider application and further research on sustained interventions.

Emergency medical services utilization in acute stroke in Qatar - an observational cohort study

INTRODUCTION

Timely recanalization improves long-term outcomes in acute ischemic stroke (IS) patients, but most patients present outside the therapeutic window. Emergency Medical Services (EMS) can reduce pre-hospital delay and increase the likelihood of recanalization. We aim to determine the characteristic variations amongst suspected acute stroke patients using EMS.

METHODS

This retrospective observational study included all suspected acute stroke patients admitted to a national tertiary care hospital in Qatar from January 2014 to September 2020. We evaluated demographics, clinical features, treatment impact, and associated factors in EMS versus non-EMS transported groups.

RESULTS

During the study period, 11,892 patients presented with suspected stroke. Of these, 65.1% used EMS (EMS group) for transportation to the hospital. Median age was comparable between EMS and non-EMS group [52 years; IQR 43-63 vs. 43-62, p < 0.05]. Male to female ratio was 3:1. EMS use in the Qatari population (59.2%) was relatively low. Patients with hemorrhagic stroke (82.4%) had significantly higher EMS use as compared to IS (65.7%) and cerebral venous thrombosis (64.7%); p < 0.001. Symptom onset to ED presentation time was lower in EMS users, with 41.0% arriving within 4.5 h vs. 24.3% in the non-EMS transported group (p < 0.05). Patients with unilateral weakness (66.4%), aphasia (78.2%), neglect (78.2%), dysarthria (68.4%), loss of consciousness (83.3%), and seizures (83.9%) were more likely to use EMS than alternative modes of transportation. Patients attending via EMS had higher rates of thrombolysis than others (82.4% vs. 17.6%; p < 0.001) and a shorter door-to-needle time (56.4 ± 38.2 min vs. 75.7 ± 43.8 min; p < 0.001).

CONCLUSION

EMS utilization in acute stroke patients was high and was associated with rapid and higher rates of therapeutic intervention. However, younger age, Arab ethnicity, and less obvious stroke symptoms were associated with lower EMS use, emphasizing the need for targeted public health interventions to improve EMS activations.

Analysis of prehospital delay in acute ischaemic stroke and its influencing factors: a multicentre prospective case registry study in China

BACKGROUND

Prehospital delay in acute ischaemic stroke (AIS) remains prevalent in China. We aimed to assess the status of the onset-to-door time (ODT) in AIS and analyse its influencing factors.

METHODS

Data were collected from a prospective multicentre hospital-based registry (China National Cerebrovascular Disease Prevention and Control Project Management Special Database) of patients with AIS involving 21 hospitals across different economic and geographical regions in China in 2022. The Mann-Whitney U test or t-test was used for between-group comparisons. Factors influencing ODT ≤3 hours were analysed using a binary logistic regression model.

RESULTS

Of the included 12 484 patients (attended middle school or below, 69.2%), females had a higher illiteracy rate (13.1%) than males (4.8%); 94.8% were living with others at illness onset; 22.5% of patients/family members were aware of the stroke emergency map (SEM, but only 7.3% were transported by SEM; 76.8% lived within 20 km of the first visited hospital. Significant differences occurred in modes of arrival at hospitals among cities of different sizes (χ²=74.882, p<0.001). Being in a medium-sized (OR 0.65, 95% CI 0.50 to 0.86); large (OR 0.61, 95% CI 0.47 to 0.79) or extralarge city (OR 0.60, 95% CI 0.46 to 0.78); experiencing cardiogenic embolism (OR 0.65, 95% CI 0.50 to 0.86) or stroke of undetermined aetiology (OR 0.69, 95% CI 0.52 to 0.92); stroke onset between 18:00 and 23:59 (OR 0.71, 95% CI 0.60 to 0.85); distance <20 km from onset location to the hospital (OR 0.47, 95% CI 0.41 to 0.54); being transported by SEM (OR 0.31, 95% CI 0.26 to 0.36) and having initial National Institutes of Health Stroke Scale scores of 5-15 (OR 0.63, 95% CI 0.57 to 0.71) or 16-42 (OR 0.32, 95% CI 0.27 to 0.39) were independent factors favouring ODT ≤3 hours. Conversely, being transferred between hospitals during transportation (OR 3.31, 95% CI 2.66 to 4.14); experiencing wake-up stroke (OR 2.00, 95% CI 1.67 to 2.38); symptom-onset including dizziness (OR 1.28, 95% CI 1.10 to 1.47) and prestroke modified Rankin scale (mRS) score of 2-3 (OR 1.58, 95% CI 1.30 to 1.92) or 4-5 (OR 1.48, 95% CI 1.02 to 2.15) tended to indicate ODT >3 hours.

CONCLUSIONS

Urban scale, stroke type, onset time, distance from initial location to the first hospital visit, transportation method, stroke symptoms, prestroke mRS score and stroke severity significantly influenced prehospital delay. Our findings can facilitate the development of targeted policies.

Factors associated with prehospital and in-hospital delays in acute ischaemic stroke care in Indonesia: a systematic review

OBJECTIVES

This systematic review examines prehospital and in-hospital delays in acute stroke care in Indonesia.

DESIGN

Systematic review adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

DATA SOURCES

We conducted a thorough search across 11 databases, ClinicalTrials.gov registries and three preprint repositories up until October 2024.

ELIGIBILITY CRITERIA

Studies that examined risk variables associated with hospital delays in the treatment of acute stroke in Indonesian individuals were included.

DATA EXTRACTION AND SYNTHESIS

Two reviewers each carried out the data extraction and risk-of-bias evaluation separately. The quality of the study was evaluated using the Risk of Bias in Non-randomised Studies of Exposures tool. The 'combining p values' approach and albatross plots were used to synthesise the findings.

RESULTS

A total of 27 studies with 3610 patients were included. Key factors contributing to prehospital delays included low educational level (p=0.014, 6 studies), low socioeconomic status (p=0.003, 5 studies), cultural beliefs affecting decision-making (p<0.001, 3 studies), significant clinical manifestations such as a low Glasgow Coma Scale score (<8) (p<0.001, 2 studies) and a high National Institutes of Health Stroke Scale score (>16) (p=0.002, 5 studies) and transportation challenges, such as extended travel distance (>15 km) (p=0.009, 5 studies) and lack of ambulance use (p=0.005, 9 studies). In-hospital delays were prominent, with male sex (p=0.046), dyslipidaemia (p=0.045) and arrival time (p=0.007) linked to thrombolysis delays, while CT location affected door-to-CT time (p<0.05).

CONCLUSION

Socioeconomic, cultural, clinical severity and logistical factors were significantly associated with hospital delays in acute ischaemic stroke care in Indonesia. Targeted interventions can mitigate these challenges and improve stroke management and results.

PROSPERO REGISTRATION NUMBER

CRD42024494954.

Performance Evaluation of Prehospital Sepsis Prediction Models

OBJECTIVES

Evaluate prediction models designed or used to identify patients with sepsis in the prehospital setting.

DESIGN

Nested case-control study.

SETTING

Four emergency departments (EDs) in Utah.

PATIENTS

Adult nontrauma patient with available prehospital care records who received ED treatment during 2018 after arrival via ambulance.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Of 16,620 patients arriving to a study ED via ambulance, 1,037 (6.2%) met Sepsis-3 criteria in the ED. Complete prehospital care data was available for 434 case patients with sepsis and 434 control patients without sepsis. Model discrimination for the outcome of meeting Sepsis-3 criteria in the ED was quantified using the area under the precision-recall curve (AUPRC), which yields a value equal to outcome prevalence for a noninformative model. Of 21 evaluated prediction models, only the Prehospital Early Sepsis Detection (PRESEP) model (AUPRC, 0.33 [95% CI, 0.27-0.41) outperformed unaided infection assessment by emergency medical services (EMS) personnel (AUPRC, 0.17 [95% CI, 0.13-0.23]) for prehospital prediction of patients who would meet Sepsis-3 criteria in the ED (p < 0.001). PRESEP also outperformed the quick Sequential Organ Failure Assessment score (AUPRC, 0.13 [95% CI, 0.11-0.16]; p < 0.001). Among 28 evaluated dichotomous predictors of ED sepsis, sensitivity ranged from 6% to 91% and positive predictive value 8-100%. PRESEP exhibited modest sensitivity (60%) and positive predictive value (20%).

CONCLUSIONS

PRESEP was the only evaluated prediction model that demonstrated better discrimination than unaided EMS infection assessment for the identification of ambulance-transported adult patients who met Sepsis-3 criteria in the ED.

Revolutionizing public health through digital health technology

The aging population and increasing chronic diseases strain public health systems. Advancements in digital health promise to tackle these challenges and enhance public health outcomes. Digital health integrates digital health technology (DHT) across healthcare, including smart consumer devices. This article examines the application of DHT in public health and its significant impact on revolutionizing the field. Historically, DHT has not only enhanced the efficiency of disease prevention, diagnosis, and treatment but also facilitated the equitable distribution of global health resources. Looking ahead, DHT holds vast potential in areas such as personalized medicine, telemedicine, and intelligent health management. However, it also encounters challenges such as ethics, privacy, and data security. To further advance DHT, concerted efforts are essential, including policy support, investment in research and development, involvement of medical institutions, and improvement of public digital health literacy.

Discrete event simulation model of an acute stroke treatment process at a comprehensive stroke center: Determining the ideal improvement strategies for reducing treatment times

BACKGROUND

Fast treatment is crucial for ischemic stroke patients; the probability of good patient outcomes increases with faster treatment. Treatment times can be improved by making changes to the treatment process. However, it is challenging to identify the benefits of changes prior to implementation. Simulation modelling, which mimics the treatment process, can be used to evaluate changes without patient involvement. This study models the acute stroke treatment process using discrete event simulation (DES) and identifies improvement strategies to reduce treatment times.

METHOD

The model was developed for a comprehensive stroke center in Nova Scotia, using Python. All treatment pathways and sub-tasks were identified via an observational time and motion study conducted in the center. Nine process change scenarios were tested individually and in combinations. The primary outcome measures were door-to-CT time (DTCT), door-to-needle time (DNT), and door-to-groin puncture time (DGPT). The model simulated 500 patients 30 times.

RESULTS

Collecting patient history on the way to the radiology department (rather than in ED) showed the highest reduction among individual scenarios for DTCT (14.2 vs 12.4 min, p < 0.001). Combining all scenarios in the door-to-CT process resulted in a reduction of the DTCT by approximately 28 %. Thrombolysing patients in the imaging department's waiting area resulted in the lowest DNT (39.4 vs 34.8 min, p < 0.001) among all individual scenarios. The highest reduction in DGPT, among all individual scenarios, was achieved by implementing Rapid angiosuite preparation (67.7 vs 51.4 min, p < 0.001). The combinations of all scenarios resulted in the lowest DTCT (14.2 vs 10.1 min, p < 0.001), DNT (39.4 vs 23.0 min, p < 0.001), and DGPT (67.9 vs 38.5 min, p < 0.001).

CONCLUSIONS

The study identified various improvement strategies in the acute stroke treatment process through a discrete-event simulation model. Combining all scenarios resulted in significant reductions for all outcome measures.

Prehospital telemedicine support for urban stroke care: Analysis of current state of care and conceptualization

BACKGROUND

The reduction of processing times in the treatment of acute ischemic stroke is of outstanding importance. Our objective is to analyze the acute stroke care chain from onset to treatment in a city in Germany comprising three stroke units. Additionally, we discuss solutions for detected treatment delays.

METHODS

We conducted an in-depth analysis of acute stroke care processing times across three local stroke centers in Düsseldorf among all emergency services transportations for suspected stroke. Isochrone mapping was performed to identify areas with prolonged transportation times.

RESULTS

Among the 1,714 transportations, 943 patients had confirmed strokes. Prehospital care constituted 58% of total emergency care time until imaging. Patients with confirmed stroke had reduced in-hospital times while patients receiving treatment experienced faster in-hospital times. Isochrone mapping revealed disparities in transportation times within the city.

CONCLUSIONS

In conclusion, we identified confirmation of stroke symptoms as pre- and in-hospital and treatment eligibility as in-hospital process accelerators in stroke care. We propose the introduction of an in-ambulance video consulting model to accelerate contact to stroke-experts and accelerate processing times for patients eligible for treatment. Furthermore, we discuss the combination of in-ambulance video consulting with imaging and starting treatment outside traditional stroke centers, followed by transportation to a stroke center during thrombolysis, which might further accelerate treatment in specific cases.

Assessment of Deep Learning-Based Triage Application for Acute Ischemic Stroke on Brain MRI in the ER

RATIONALE AND OBJECTIVES

To assess a deep learning application (DLA) for acute ischemic stroke (AIS) detection on brain magnetic resonance imaging (MRI) in the emergency room (ER) and the effect of T2-weighted imaging (T2WI) on its performance.

MATERIALS AND METHODS

We retrospectively analyzed brain MRIs taken through the ER from March to October 2021 that included diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery (FLAIR) sequences. MRIs were processed by the DLA, and sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve (AUROC) were evaluated, with three neuroradiologists establishing the gold standard for detection performance. In addition, we examined the impact of axial T2WI, when available, on the accuracy and processing time of DLA.

RESULTS

The study included 947 individuals (mean age ± standard deviation, 64 years ± 16; 461 men, 486 women), with 239 (25%) positive for AIS. The overall performance of DLA was as follows: sensitivity, 90%; specificity, 89%; accuracy, 89%; and AUROC, 0.95. The average processing time was 24 s. In the subgroup with T2WI, T2WI did not significantly impact MRI assessments but did result in longer processing times (35 s without T2WI compared to 48 s with T2WI, p < 0.001).

CONCLUSION

The DLA successfully identified AIS in the ER setting with an average processing time of 24 s. The absence of performance acquire with axial T2WI suggests that the DLA can diagnose AIS with just axial DWI and FLAIR sequences, potentially shortening the exam duration in the ER.

Evaluating Thrombolysis Rates and Emergency Department Time Targets in Acute Ischemic Stroke: Need for Personalized Medicine

BACKGROUND AND OBJECTIVES

In the era of personalized medicine, standard protocols regarding the management of acute ischemic stroke (AIS) focus on time targets alone without tailoring the protocol to the specific patient and hospital characteristics to increase IV thrombolysis rates and improve outcomes for these patients by considering organizational differences and patient-related factors that influence adherence to target times at the emergency department level. With this in mind, we evaluate the effect of achieving ED time targets from standard protocol and patient-related risk factors on the intravenous (IV) thrombolysis rate in patients with AIS in the therapeutic window.

MATERIALS AND METHODS

For our research, we enrolled people who arrived at the ED with signs of recent AIS with an onset of less than 4.5 h. Initially, 355 patients were included in the study, but through careful screening, only 258 were considered eligible to participate. Of the final group of 258 patients, only 46 received intravenous thrombolysis treatment.

RESULTS

In our study, when we are analyzing ED times in patients admitted with stroke symptoms in the therapeutic window, we found statistically significantly decreased ED times for patients that performed IV thrombolysis compared to patients not performing as follows: a median of 100 min in onset-to-ED door time (p < 0.001), a door-to-physician time (ED doctor) of 4 min (p = 0.009), door-to-blood-samples of 5 min (p = 0.026), a door-to-CT time of 15.5 min (p = 0.009), and door-to-CT results of 37 min (p < 0.001). In addition, patients who received intravenous thrombolysis were found to be significantly older (p < 0.001), with lower height and weight (p < 0.001 for both) and lower Glasgow Coma Scale (GCS) scores (9 ± 4.94 vs. 13.85 ± 2.41, p < 0.001). The logistic regression analysis indicated that the onset-to-ED time (p < 0.001) and the door-to-physician time (p = 0.014) for emergency medicine physicians are significant predictors of the likelihood of administering thrombolysis. By analyzing the impact of comorbidities, we observed that dyslipidemia, chronic arterial hypertension, and diabetes mellitus are significant predictive factors for performing IV thrombolysis (the presence of dyslipidemia and diabetes mellitus are predictive factors for performing IV thrombolysis, while the presence of arterial hypertension is not).

CONCLUSIONS

The ED time targets that significantly influenced IV thrombolysis in our study were the onset-to-ED door time and the time it takes for the ED doctor to assess the AIS patient (door-to-physician time). The IV thrombolysis rate for these patients was 17.83%, lower than expected despite achieving most ED time targets, with the presence of chronic arterial hypertension as a significant predictive patient-related factor for not performing it. Even though our reported hospital's thrombolysis rate is favorable compared to international reports, there is always room for improvement. Based on our study results, it is necessary that new protocols to customized standard protocols and ED time targets for increasing IV thrombolysis rate in patients with AIS in the therapeutic window, focusing more on patient-related factors and type of hospitals, granting personalized medicine its right. Based on our study results, it is necessary that new protocols customize standard protocols and ED time targets for increasing IV thrombolysis rate in patients with AIS in the therapeutic window, focusing more on patient-related factors and type of hospitals, granting personalized medicine its right.

Professor Klaus Fassbender: The Father of Mobile Stroke Units

Professor Klaus Fassbender is a distinguished neurologist from Germany, widely recognized for his groundbreaking contributions to the fields of neurology and neurodegenerative disease. His work has been pivotal in advancing our understanding of the pathophysiological mechanisms underlying neurodegenerative disorders, including Alzheimer's and Parkinson's disease, as well as in refining therapeutic strategies for their treatment. His studies in cerebrovascular disease have elucidated the complex molecular and cellular processes involved in ischemic and hemorrhagic stroke, leading to the development of novel therapeutic interventions, often bridging the gap between laboratory discoveries and their application in clinical settings. Professor Klaus Fassbender is "the father" of the mobile stroke unit (MSU). With the "time is brain" concept in mind, he proposed and developed the MSU concept for the first time, allowing prehospital stroke imaging, diagnosis, and treatment directly at the site of emergency. This concept reduced times between symptoms onset and treatment, resulting in an increased proportion of patients receiving treatment within "the golden hour" and leading to the improvement of functional outcomes at 90 days. Professor Fassbender's work has been instrumental in shaping contemporary approaches to diagnosing and managing stroke and neurodegenerative disease, making him a leading figure in modern neurology.

Mobile stroke units: Beyond thrombolysis

In the last decade, mobile stroke units (MSUs) have shown the potential to transform prehospital stroke care, marking a paradigm shift in delivering ultra-rapid thrombolysis and streamlining triage processes. These units bring acute stroke care directly to patients, significantly shortening treatment times. This review outlines the rationale for MSU care and discusses the potential applications beyond the original purpose of delivering thrombolysis, including large vessel occlusion detection, intracerebral hemorrhage management, and innovative forms of prehospital research.

Global Insights on Prehospital Stroke Care: A Comprehensive Review of Challenges and Solutions in Low- and Middle-Income Countries

Stroke is a leading cause of disability and mortality worldwide, and it disproportionately affects low- and middle-income countries (LMICs), which account for 88% of stroke fatalities. Prehospital stroke care delays are a crucial obstacle to successful treatment in these settings, especially given the limited therapeutic window for thrombolytic treatments, which may greatly improve recovery chances when initiated early after stroke onset. These delays are caused by a lack of public understanding of stroke symptoms, sociodemographic and cultural variables, and insufficient healthcare infrastructure. This review discusses these issues in detail, emphasizing the disparities in stroke awareness and reaction times between locations and socioeconomic classes. Innovative options for reducing these delays include the deployment of mobile stroke units and community-based educational campaigns. This review also discusses how technology improvements and personalized educational initiatives might improve stroke awareness and response in LMICs. The primary goal is to give a thorough assessment of the challenges and potential remedies that might serve as the foundation for policy reforms and healthcare improvements in LMICs, eventually improving stroke care and lowering disease-related mortality and disability.

Mobile Stroke Units in Acute Ischemic Stroke: A Comprehensive Systematic Review and Meta-Analysis of 5 "T Letter" Domains

Intravenous thrombolysis (IVT) may be administered to stroke patients requiring immediate treatment more quickly than emergency medical services if certain conditions are met. These conditions include the presence of mobile stroke units (MSUs) with on-site treatment teams and a computed tomography scanner. We compared clinical outcomes of MSU conventional therapy by emergency medical services through a systematic review and meta-analysis. We searched key electronic databases from inception till September 2021. The primary outcomes were mortality at 7 and 90 days. The secondary outcomes included the modified Rankin Scale score at 90 days, alarm to IVT or intra-arterial recanalization, and time from symptom onset or last known well to thrombolysis. We included 19 controlled trials and cohort studies to conduct our final analysis. Our comparison revealed that 90-day mortality significantly decreased in the MSU group compared with the conventional care group [risk ratio = 0.82; 95% confidence interval (CI), 0.71-0.95], while there was no significant difference at 7 days (risk ratio = 0.89; 95% CI, 0.69-1.15). MSU achieved greater functional independence (modified Rankin Scale = 0-2) at 90 days (risk ratio = 1.08; 95% CI, 1.01-1.16). MSU was associated with shorter alarm to IVT or intra-arterial recanalization time (mean difference = -29.69; 95% CI, -34.46 to -24.92), treating patients in an earlier time window, as shown through symptom onset or last known well to thrombolysis (mean difference = -36.79; 95% CI, -47.48 to -26.10). MSU-treated patients had a lower rate of 90-day mortality and better 90-day functional outcomes by earlier initiation of IVT compared with conventional care.

Intravenous Odatroltide for Acute Ischemic Stroke Within 24 Hours of Onset: A Phase 2, Multicenter, Randomized, Double-Blind, Placebo-Controlled Study

Purpose

Odatroltide (LT3001), a novel small synthetic peptide molecule designed to recanalize occluded blood vessels and reduce reperfusion injury, is safe and efficacious in multiple embolic stroke animal models. This study aimed to investigate the safety and tolerability of intravenous administration of odatroltide in patients with acute ischemic stroke within 24 hours of onset.

Patients and Methods

Patients with National Institutes of Health Stroke Scale (NIHSS 4-30) who were untreated with intravenous thrombolysis or endovascular thrombectomy were randomized (2:1) to receive a single dose of odatroltide (0.025 mg/kg) or placebo within 24 hours of stroke symptom onset. The primary safety outcome was symptomatic intracranial hemorrhage (sICH) occurrence within 36 hours.

Results

Twenty-four patients were enrolled and randomized; of these 16 and 8 received intravenous odatroltide infusion and placebo, respectively. sICH did not occur in both groups, and other safety measures were comparable between the groups. The rate of excellent functional outcome (modified Rankin Scale score, 0-1, at 90 days) was 21% and 14% in the odatroltide and placebo groups, respectively. Furthermore, 47% and 14% of patients in the odatroltide and placebo groups, respectively, showed major neurological improvement (NIHSS improvement ≥4 points from baseline to 30 days). Among the 9 odatroltide-treated patients with baseline NIHSS ≥6, 78% showed major neurological improvement.

Conclusion

Compared with placebo, treatment with intravenous odatroltide within 24 hours following onset of ischemic stroke appears to be safe and may be associated with better neurological and functional outcomes. However, the efficacy and safety of odatroltide requires further confirmation in the next phase of clinical trials.

Clinical Trial Registration

Clinicaltrials.gov identifier: NCT04091945.

Are we missing an opportunity? Prehospital delay in patients with acute ischemic stroke and known atrial fibrillation

INTRODUCTION AND OBJECTIVES

The follow-up of patients with atrial fibrillation (AF) presents an opportunity to alert patients and their families on how to recognize and act in the event of stroke. Our aim was to compare stroke recognition-to-door time and prehospital stroke code activation in patients with known AF (KAF) and AF detected after stroke (AFDAS).

METHODS

We performed a retrospective cohort study of consecutive patients receiving acute recanalization treatment for acute ischemic stroke between January 2016 and August 2022, with AF as a potential stroke cause. Patients were divided into KAF and AFDAS, and stroke recognition-to-door time and prehospital stroke code activation were compared. In the KAF subgroup, we assessed whether the use of preadmission anticoagulation was associated with the studied prehospital parameters.

RESULTS

We included 438 patients, 290 female (66.2%), mean age 79.3±9.4 years. In total, 238 patients had KAF (54.3%) and 200 (45.7%) had AFDAS. Of those with KAF, 114 (48.1%) were pretreated with anticoagulation. Patients with KAF and AFDAS had no differences in stroke recognition-to-door time (74.0 [55.0-101.0] vs. 78.0 [60.0-112.0] min; p=0.097) or prehospital stroke code activation [148 (64.6%) vs. 128 (65.3%); p=0.965]. In the KAF subgroup, preadmission anticoagulation did not influence stroke recognition-to-door time or mode of hospital admission.

CONCLUSION

Stroke recognition-to-door time and prehospital stroke code activation were similar between patients with known or newly diagnosed AF. Preadmission anticoagulation treatment also did not affect the studied parameters. Our findings highlight a missed opportunity to promote stroke knowledge in patients followed due to AF.

Effectiveness of the acute stroke care map program in reducing in-hospital delay for acute ischemic stroke in a Chinese urban area: an interrupted time series analysis

Background

Timely intravenous thrombolysis (IVT) is crucial for improving outcomes in acute ischemic stroke (AIS) patients. This study evaluates the effectiveness of the Acute Stroke Care Map (ASCaM) initiative in Shenyang, aimed at reducing door-to-needle times (DNT) and thus improving the timeliness of care for AIS patients.

Methods

An retrospective cohort study was conducted from April 2019 to December 2021 in 30 hospitals participating in the ASCaM initiative in Shenyang. The ASCaM bundle included strategies such as EMS prenotification, rapid stroke triage, on-call stroke neurologists, immediate neuroimaging interpretation, and the innovative Pre-hospital Emergency Call and Location Identification feature. An interrupted time series analysis (ITSA) was used to assess the impact of ASCaM on DNT, comparing 9 months pre-intervention with 24 months post-intervention.

Results

Data from 9,680 IVT-treated ischemic stroke patients were analyzed, including 2,401 in the pre-intervention phase and 7,279 post-intervention. The ITSA revealed a significant reduction in monthly DNT by -1.12 min and a level change of -5.727 min post-ASCaM implementation.

Conclusion

The ASCaM initiative significantly reduced in-hospital delays for AIS patients, demonstrating its effectiveness as a comprehensive stroke care improvement strategy in urban settings. These findings highlight the potential of coordinated care interventions to enhance timely access to reperfusion therapies and overall stroke prognosis.

What Will the Mobile Stroke Unit of the Future Look Like, and Will EEG Have a Role?

There have been major advances in prehospital evaluation and care of stroke patients in the past 2 decades. Because about half of patients experiencing stroke arrive to the emergency department (ED) by ambulance, emergency medical service providers are in a unique position to positively affect stroke outcomes. One development of great interest is the implementation of mobile stroke units (MSUs), large ambulances outfitted with mobile CT scanners, point-of-care laboratories, and access to clinical stroke expertise (either in-person or remotely).1.

A systematic review of ambulance service-based randomised controlled trials in stroke

BACKGROUND

Treatment for stroke is time-dependent, and ambulance services play a vital role in the early recognition, assessment and transportation of stroke patients. Innovations which begin in ambulance services to expedite delivery of treatments for stroke are developing. However, research delivery in ambulance services is novel, developing and not fully understood.

AIMS

To synthesise literature encompassing ambulance service-based randomised controlled interventions for acute stroke with consideration to the characteristics of the type of intervention, consent modality, time intervals and issues unique to research delivery in ambulance services. Online searches of MEDLINE, EMBASE, Web of Science, CENTRAL and WHO IRCTP databases and hand searches identified 15 eligible studies from 538. Articles were heterogeneous in nature and meta-analysis was partially available as 13 studies reported key time intervals, but terminology varied. Randomised interventions were evident across all points of contact with ambulance services: identification of stroke during the call for help, higher dispatch priority assigned to stroke, on-scene assessment and clinical interventions, direct referral to comprehensive stroke centres and definitive care delivery at scene. Consent methods ranged between informed patient, waiver and proxy modalities with country-specific variation. Challenges unique to the prehospital setting comprise the geographical distribution of ambulance resources, low recruitment rates, prolonged recruitment phases, management of investigational medicinal product and incomplete datasets.

CONCLUSION

Research opportunities exist across all points of contact between stroke patients and ambulance services, but randomisation and consent remain novel. Early collaboration and engagement between trialists and ambulance services will alleviate some of the complexities reported.

REGISTRATION NUMBER

PROSPERO 2018CRD42018075803.

Racial Disparities in Utilization of Emergency Medical Services and Related Impact on Poststroke Disability

BACKGROUND

Prompt seeking of emergency medical services (EMS) assistance at stroke onset is critical to minimize poststroke disability.

OBJECTIVE

The aim was to study how racial differences in EMS decision-relevant factors and EMS use impact stroke care and disability outcomes.

DESIGN

A prospective observational study.

PARTICIPANTS

A total of 1168 acute ischemic stroke patients discharged from April 2016 to October 2017 at a safety net hospital were included; 108 patients were surveyed before discharge.

MEASURES

(1) Prehospital delay: EMS use, timely hospital arrival; (2) Stroke care: alteplase receipt and inpatient rehab; (3) Outcomes: Functional improvement at discharge (admission minus discharge scores on National Institutes of Health Stroke Scale), 90-day modified Rankin Scale; (4) EMS decision-relevant factors: Stroke symptom knowledge, source of knowledge, unfavorable past EMS/care experiences, and financial barriers to EMS use.

RESULTS

Despite more Black patients using EMS than Whites/Asians (56% vs. 48%, P =0.003), their timely hospital arrival was 30% less likely. Adjusted for stroke severity, receipt of alteplase, and inpatient rehab were similar, but Black patients fared worse on functional improvement at discharge (among severe strokes, 2.4 National Institutes of Health Stroke Scale points less improvement, P <0.01), and on functional normalcy at 90 days (modified Rankin Scale score 0-1 being 60% less likely across severity categories) ( P <0.01). Fewer Black patients knew any stroke symptoms before the stroke (72% vs. 87%, P =0.03), and fewer learned about stroke from providers ( P =0.01). Financial barriers and provider mistrust were similar.

CONCLUSIONS

Black patients had less knowledge of stroke symptoms, more care-seeking delay, and poorer outcomes. Including stroke education as a standard of chronic disease care may mitigate stroke outcome disparities.

Effect of the COVID-19 pandemic on advanced life support units' prehospital management of the stroke code in four Spanish regions: an observational study

INTRODUCTION

Stroke is the most common time-dependent pathology that pre-hospital emergency medical services (EMS) are confronted with. Prioritisation of ambulance dispatch, initial actions and early pre-notification have a major impact on mortality and disability. The COVID-19 pandemic has led to disruptions in the operation of EMS due to the implementation of self-protection measures and increased demand for care. It is crucial to evaluate what has happened to draw the necessary conclusions and propose changes to improve the system's strength for the future. The study aims to compare prehospital time and neuroprotective care metrics for acute stroke patients during the first wave of COVID-19 and the same periods in the years before and after.

METHODS

Analytical, observational, multicentre study conducted in the autonomous communities of Andalusia, Catalonia, Galicia, and Madrid in the pre-COVID-19 (2019), "first wave" of COVID-19 (2020) and post-COVID-19 (2021) periods. Consecutive non-randomized sampling. Descriptive statistical analysis and hypothesis testing to compare the three time periods, with two by two post-hoc comparisons, and multivariate analysis.

RESULTS

A total of 1,709 patients were analysed. During 2020 there was a significant increase in attendance time of 1.8 min compared to 2019, which was not recovered in 2021. The time of symptom onset was recorded in 82.8% of cases, and 83.3% of patients were referred to specialized stroke centres. Neuroprotective measures (airway, blood glucose, temperature, and blood pressure) were performed in 43.6% of patients.

CONCLUSION

During the first wave of COVID-19, the on-scene times of pre-hospital emergency teams increased while keeping the same levels of neuroprotection measures as in the previous and subsequent years. It shows the resilience of EMS under challenging circumstances such as those experienced during the pandemic.

Modern Prehospital Screening Technology for Emergent Neurovascular Disorders

Stroke is a serious neurological disease and a significant contributor to disability worldwide. Traditional in-hospital imaging techniques such as computed tomography (CT) and magnetic resonance imaging (MRI) remain the standard modalities for diagnosing stroke. The development of prehospital stroke detection devices may facilitate earlier diagnosis, initiation of stroke care, and ultimately better patient outcomes. In this review, the authors summarize the features of eight stroke detection devices using noninvasive brain scanning technology. The review summarizes the features of stroke detection devices including portable CT, MRI, transcranial Doppler ultrasound , microwave tomographic imaging, electroencephalography, near-infrared spectroscopy, volumetric impedance phaseshift spectroscopy, and cranial accelerometry. The technologies utilized, the indications for application, the environments indicated for application, the physical features of the eight stroke detection devices, and current commercial products are discussed. As technology advances, multiple portable stroke detection instruments exhibit the promising potential to expedite the diagnosis of stroke and enhance the time taken for treatment, ultimately aiding in prehospital stroke triage.

Perceived performance of activities of daily living by stroke patients: key in decision to call EMS and outcomes

Background

Until recently, public education campaigns aimed at improving help-seeking behavior by acute stroke patients have achieved only limited or even no effects. Better understanding of psychological factors determining help-seeking behavior may be relevant in the design of more effective future campaigns.

Methods

In this prospective, cross-sectional study, we interviewed 669 acute stroke patients within 72 h after hospital admission. The primary endpoint was the effect of psychological factors on the decision to call emergency medical services (EMS). Secondary endpoints were the effects of such factors on treatment rates and clinical improvement (difference between modified Rankin scale (MRS) scores at admission and at discharge).

Results

Only 48.7% of the study population called the EMS. Multivariate logistic and linear regression analyses revealed that perception of unimpaired performance of activities of daily living (ADL) was the only psychological factor that predicted EMS use and outcomes. Thus, patients who perceived only minor impairment in performing ADL were less likely to use EMS (odds ratio, 0.54 [95% confidence interval, 0.38-0.76]; p = 0.001), had lower treatment rates, and had less improvement in MRS scores (b = 0.40, p = 0.004). Additional serial mediation analyses involving ischemic stroke patients showed that perception of low impairment in ADL decreased the likelihood of EMS notification, thereby increasing prehospital delays, leading to reduced thrombolysis rates and, finally, to reduced clinical improvement.

Conclusion

Perception of unimpaired performance of ADL is a crucial barrier to appropriate help-seeking behavior after acute stroke, leading to undertreatment and less improvement in clinical symptoms. Thus, beyond improving the public's knowledge of stroke symptoms, future public education campaigns should focus on the need for calling the EMS in case of stroke symptoms even if daily activities do not seem to be severely impaired.

Effects of emergency medical services on timely treatment and outcome in stroke patients with intravenous thrombolysis among the severity of neurologic deficits: A retrospective observational study

Whether emergency medical service (EMS) improves the outcome of acute ischemic stroke (AIS) patients after intravenous thrombolysis (IVT) is still unknown among the severity of neurologic deficits. This study is to investigate the impact of EMS use on timely treatment and outcomes of AIS with IVT. This is a retrospective observational study. Clinical data after IVT from January 2017 to May 2020 were retrospectively analyzed, including onset-to-needle time (ONT), onset-to-door time (ODT). The patients were divided into EMS and non-EMS groups according to the method of admission. A good outcome was defined as a modified Rankin scale score of ≤2 at 3 months. The severity of neurological deficits was assessed using the national institutes of health stroke scale. A total of 2303 patients were analyzed (906 [(39.3%] female; mean age, 68 ± 13 year), and 1028 (44.6%) patients were transported by EMS and 1418 (67.9%) patients achieved good outcome. Among all patients, compared with non-EMS patients, EMS patients had shorter ONT (148 minutes vs 155 minutes, P = .002) and ODT (95 minutes vs 104 minutes, P < .001), but lower rate of good outcome (61.7% vs 73.0%, P < .001). The multivariate analysis showed that the use of EMS was negatively associated with ONT (ρ = -0.041, P = .048) and ODT (ρ = -0.051, P = .014). Among moderate to severe stroke patients, EMS was related with good outcome independently (OR: 3.101, 95%CI: 1.367-7.038, P = .007). In ischemic stroke, EMS can shorten the pre-hospital delay. Among moderate to severe stroke patients, EMS can further improve the outcome. But the study needs further validation.

The Rapid Arterial oCclusion Evaluation (RACE) scale accuracy for diagnosis of acute ischemic stroke in emergency department - A multicenter study

OBJECTIVE

It seems that the available data on performance of the Rapid Arterial oCclusion Evaluation (RACE) as a prehospital stroke scale for differentiating all AIS cases, not only large vessel occlusion (LVO), from the stroke mimics is lacking. As a result, we intend to evaluate the accuracy of the RACE criteria in diagnosing of AIS in patients transferred to the emergency department (ED).

METHOD

The present study was a diagnostic accuracy cross-sectional study during 2021 in Iran. The study population consist of all suspected acute ischemic stroke (AIS) patients who transferred to the ED by emergency medical services (EMS). A 3-part checklist consisting of the basic and demographic information of the patients, items related to the RACE scale, and the final diagnosis of the patients based on interpretation of patients' brain MRI was used for data collection. All data were entered in Stata 14 software. We used the ROC analysis to evaluate the diagnostic power of the test.

RESULT

In this study, data from 805 patients with the mean age of 66.9 ± 13.9 years were studied of whom 57.5% were males. Of all the patients suspected of stroke who transferred to the ED, 562 (69.8%) had a definite final diagnosis of AIS. The sensitivity and specificity of the RACE scale for the recommended cut-off point (score ≥ 5) were 50.18% and 92.18%, respectively. According to the Youden J index, the best cut-off point for this tool for differentiating AIS cases was a score > 2, at which sensitivity and specificity were 74.73% and 87.65%, respectively.

CONCLUSION

It seems that, the RACE scale is an accurate diagnostic tool to detect and screen AIS patients in ED, Of course, not at the previously suggested cut-off point (score ≥ 5), but at the score > 2.

Gamification of the National Institutes of Health Stroke Scale (NIHSS) for simulation training-a feasibility study

BACKGROUND

Training prehospital personnel in identifying patients with acute stroke is key to providing rapid treatment. This study aimed to investigate whether game-based digital simulation training is a feasible alternative to standard in-person simulation training.

METHODS

Second-year paramedic bachelor students at Oslo Metropolitan University in Norway were invited to participate in a study to compare game-based digital simulation (intervention) to standard in-person training (control). For 2 months, students were encouraged to practice the NIHSS, and both groups logged their simulations. Then, they performed a clinical proficiency test, and their results were assessed using a Bland-Altman plot with corresponding 95% limits of agreement (LoA).

RESULTS

Fifty students participated in the study. Individuals in the game group (n = 23) spent an average (SD) of 42:36 min (36) on gaming and performed 14.4 (13) simulations on average, whereas the control group (n = 27) spent 9:28 min (8) simulating and performed 2.5 (1) simulations. Comparing time variables collected during the intervention period, the mean time for each simulated assessment was significantly shorter in the game group (2:57 min vs. 3:50 min, p = 0.004). In the final clinical proficiency test, the mean difference from the true NIHSS score was 0.64 (LoA: - 1.38 to 2.67) in the game group and 0.69 (LoA: - 1.65 to 3.02) in the control group.

CONCLUSION

Game-based digital simulation training is a feasible alternative to standard in-person simulation training to acquire competence in NIHSS assessment. Gamification seemed to give an incentive to simulate considerably more and to perform the assessment faster, with equal accuracy.

TRIAL REGISTRATION

The study was approved by the Norwegian Centre for Research Data (reference no. 543238).

Low-field MRI: Clinical promise and challenges

Modern MRI scanners have trended toward higher field strengths to maximize signal and resolution while minimizing scan time. However, high-field devices remain expensive to install and operate, making them scarce outside of high-income countries and major population centers. Low-field strength scanners have drawn renewed academic, industry, and philanthropic interest due to advantages that could dramatically increase imaging access, including lower cost and portability. Nevertheless, low-field MRI still faces inherent limitations in image quality that come with decreased signal. In this article, we review advantages and disadvantages of low-field MRI scanners, describe hardware and software innovations that accentuate advantages and mitigate disadvantages, and consider clinical applications for a new generation of low-field devices. In our review, we explore how these devices are being or could be used for high acuity brain imaging, outpatient neuroimaging, MRI-guided procedures, pediatric imaging, and musculoskeletal imaging. Challenges for their successful clinical translation include selecting and validating appropriate use cases, integrating with standards of care in high resource settings, expanding options with actionable information in low resource settings, and facilitating health care providers and clinical practice in new ways. By embracing both the promise and challenges of low-field MRI, clinicians and researchers have an opportunity to transform medical care for patients around the world. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY: Stage 6.

Mothership vs. drip-and-ship: evaluation of initial treatment strategies for acute ischemic stroke in a well-developed network of specialized hospitals

PURPOSE

Two strategies of initial patient care exist in endovascular thrombectomy (ET) depending on the site of initial admission: the mothership (MS) and drip-and-ship (DnS) principles. This study compares both strategies in regard to patient outcome in a local network of specialized hospitals.

METHODS

Two-hundred-and-two patients undergoing ET in anterior circulation ischemic stroke between June 2016 and May 2018 were enrolled. Ninety two patients were directly admitted to our local facility (MS), One-hundred-and-ten were secondarily referred to our facility. Group comparisons between admission strategies in three-months modified Rankin Scale (mRS), Maas Score and Alberta-Stroke-Program-Early-computed-tomography-score (ASPECTS), National-Institutes-of-Health-Stroke-Scale (NIHSS), age and onset-to-recanalization-time were performed. Correlation between admission strategy and mRS was calculated. A binary logistic regression model was computed including mRS as dependent variable.

RESULTS

There were neither significant group differences in three-months mRS between MS and DnS nor significant correlations. Patients tended to achieve a better outcome with DnS. Collateralization status differed between MS and DnS (p = 0.003) with better collateralization in DnS. There were no significant group differences in NIHSS or ASPECTS but in onset-to-recanalization-time (p < 0.001) between MS and DnS. Binary logistic regression showed a high explanation of variance of mRS but no significant results for admission strategy.

CONCLUSIONS

Functional outcome in patients treated with ET is comparable between the MS and DnS principles. Tendentially better outcome in the DnS subgroup may be explained by selection bias due to a higher willingness to apply ET in patients with worse baseline conditions (e.g. worse collateralization), if patients undergoing MS are already on site.

Impact of improved stroke green channel process on the delay of intravenous thrombolysis in patients with acute cerebral infarction during the COVID-19 pandemic: An observational study

Objective

This study analyzed the impact of the improved stroke green channel process on the delay of intravenous thrombolysis in patients with acute cerebral infarction under coronavirus disease 2019 (COVID-19) prevention and control measures.

Methods

We included 57 patients from the stroke center of the Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine before the improvement of the stroke green channel process (March–July 2019), as well as 94 patients during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak (March–July 2020) and 68 patients during the Omicron variant outbreak (March–July 2022) after the improvement of stroke green channel process. The door-to-needle time (DNT), door-to-imaging time (DIT), and door-to-test completion time were compared among the three groups. We analyzed the impact of this process improvement in the emergency green channel during the pandemic on the delay of intravenous thrombolysis.

Results

This study included a total of 229 patients with acute cerebral infarction who went through the green channel for intravenous thrombolysis (57 in the pre-pandemic group, 94 in the SARS-CoV-2 outbreak group, and 68 in the Omicron outbreak group). The percentages of patients undergoing intravenous thrombolysis in the pre-pandemic, SARS-CoV-2 outbreak, and Omicron outbreak groups differed significantly (19.32%, 22.27%, and 28.94%, respectively, P = 0.029). Compared to the pre-pandemic group, the National Institutes of Health Stroke Scale (NIHSS) score at admission was significantly higher in the Omicron outbreak group (7.71 ± 7.36 in the Omicron outbreak group vs. 5.00 ± 4.52 in the pre-pandemic group) (P = 0.026) but not in the SARS-CoV-2 outbreak group (4.79 ± 5.94 in the SARS-CoV-2 outbreak group vs. 5.00 ± 4.52 in the pre-pandemic group, P = 0.970). Significantly higher proportions of patients undergoing emergency intravenous thrombolysis came to the hospital by ambulance in the SARS-CoV-2 and Omicron outbreak groups compared to the pre-pandemic group (38.6% in the pre-pandemic group, 51.1% in the SARS-CoV-2 outbreak group, and 82.4% in the Omicron outbreak group, P &lt; 0.001). Compared to the pre-pandemic group, the DIT was significantly higher in the SARS-CoV-2 outbreak group (22.42 ± 7.62 min in the SARS-CoV-2 outbreak group vs. 18.91 ± 8.23 min in the pre-pandemic group, P =0.031) but not the Omicron outbreak group (20.35 ± 10.38 min in the Omicron outbreak group vs. 18.91 ± 8.23 min in the pre-pandemic group, P = 0.543). The door-to-test completion time was significantly longer in the SARS-CoV-2 and Omicron outbreak groups compared to that in the pre-pandemic group (78.37 ± 25.17 min in the SARS-CoV-2 outbreak group, 92.60 ± 25.82 min in the Omicron outbreak group vs. 65.11 ± 22.35 min in the pre-pandemic group, P &lt; 0.001); however, the DNT in the SARS-CoV-2 and Omicron outbreak groups did not differ significantly from those in the pre-pandemic group (both P &gt; 0.05).

Conclusion

During the two periods of the COVID-19 outbreak (SARS-CoV-2 and Omicron), after the improvement of the green channel for intravenous thrombolysis, there might be some delay in in-hospital DIT during the SARS-CoV-2 outbreak, however, the in-hospital delay indicator DNT for intravenous thrombolysis were not affected.

How do interventions to improve the efficiency of acute stroke care affect prehospital times? A systematic review and narrative synthesis

Background

Emergency medical services (EMS) are the first point of contact for most acute stroke patients. EMS call to hospital times have increased in recent years for stroke patients in the UK which is undesirable due to the relationship between time and effectiveness of reperfusion treatment. This review aimed to identify and describe interventions devised to improve the efficiency of acute stroke care which reported an impact on ground-based EMS call to hospital times.

Methods

A systematic review of published literature identified from five databases (Medline, EMBASE, CINAHL, the Cochrane library and the Database of Research in Stroke (DORIS)) from January 2000 to December 2020 with narrative synthesis was conducted. Inclusion criteria were primary studies of ground-based EMS, focused on stroke and aiming to improve EMS times. Papers published before 2000, focussing on mobile stroke units or in languages other than English were excluded. Two reviewers independently screened prospective titles. Cochrane ROB2 and ROBINS-I tools were used to assess for risk of bias. This review was funded by a Stroke Association fellowship.

Results

From 3767 initial records, 11 studies were included in the review. Included studies were categorised into three groups: studies targeting EMS dispatch and EMS clinicians (n = 4); studies targeting EMS clinicians only (n = 4); and studies targeting whole system change (n = 3). Suspected stroke patients were the primary population studied and most (n = 10) interventions involved clinician education. Only one study (9%) reported a significant decrease in call to hospital time in one subgroup whereas two studies (18%) reported a significant increase in call to hospital time and all other studies (73%) reported no significant change.

Conclusions

Based on the included studies, interventions intended to improve the efficiency of the acute stroke pathway rarely improved EMS call to hospital times. Included studies were heterogenous and rarely focussed on the review topic which limits the usability of the findings. Further research is needed to explore the trade-off between changes to EMS stroke care and call to hospital times and subsequent impacts on in-hospital care and patient outcomes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12873-022-00713-6.

Current Management of Acute Ischemic Stroke in Africa: A Review of the Literature

BACKGROUND

Acute ischemic stroke is one of the leading causes of disability and mortality globally, with increasing incidence in Africa, as the continent is already burdened with infectious diseases. Rapid diagnosis and efficient treatment are crucial, as even a slight delay to reperfuse the brain significantly affects the recovery outcome. Neuroimaging is vital for optimal care and thrombolytic or endovascular therapy in specialised stroke care units. This review aims to discuss the burden of acute ischemic stroke in Africa and how healthcare systems have tried to reduce the incidence and improve outcomes for the disease.

METHODOLOGY

Data was collected from online databases and medical journal published on PubMed, Ovid MEDLINE, ScienceDirect and Embase bibliographical data. All articles related to acute ischemic stroke in Africa were considered.

RESULTS

The medical care for acute ischemic stroke in Africa is far from optimal with little adherence to recommended protocols. There is a lack of public awareness of the disease, imaging infrastructure, personnel, stroke care units and recovery facilities, due to poor funding. Poor knowledge of stroke signs and symptoms results in delay in treatment and poor prognosis.

CONCLUSION

We urge African leaders and private entities to invest in stroke care by building appropriate infrastructures, providing medical equipments, implementing guidelines, and sustainable follow-up systems. Telehealth is a suggested strategy to mitigate the scarcity of health personnel, and international and national efforts to increase treatment affordability should be doubled. Further extensive research on the impact of acute ischemic stroke on the African continent population is encouraged.

Influences of different referral modes on clinical outcomes after endovascular therapy for acute ischemic stroke

Background and purpose

As endovascular thrombectomy (EVT) is time-dependent, it is crucial to refer patients promptly. Current referral modes include Mothership (MS), Drip and Ship (DS) and Drive the Doctor (DD). The purpose of this study was to investigate the influences of different referral modes on the clinical outcomes of patients with acute ischemic stroke after EVT. 

Methods

A total of 349 patients from 15 hospitals between April 2017 and March 2020 were enrolled. The primary outcomes include poor outcome (modified Rankin Scale score of 3 to 6), symptomatic intracranial hemorrhage transformation (sICH), mortality and cost. Regression analysis was used to assess the association of referral modes with poor outcome, sICH, mortality and cost in acute ischemic stroke patients.

Results

Among the 349 patients, 83 were in DD group (23.78%), 85 in MS group (24.36%) and 181 in DS group (51.86%). There were statistically significant differences in intravenous thrombolysis, onset-to-door time, onset-to-puncture time, puncture-to-recanalization time, door-to-puncture time, door-to-recanalization time, and cost among the DD, MS, and DS groups (59.04% vs 35.29% vs 33.15%, P<0.001; 90 vs 166 vs 170 minutes, P<0.001; 230 vs 270 vs 270 minutes, P<0.001; 82 vs 54 vs 51 minutes, P<0.001; 110 vs 85 vs 96 minutes, P=0.004; 210 vs 146 vs 150 minutes, P<0.001; 64258 vs 80041 vs 70750 Chinese Yuan, P=0.018). In terms of sICH, mortality and poor outcome, there was no significant difference among the DD, MS, and DS groups (22.89% vs 18.82% vs 19.34%, P=0.758; 24.10% vs 24.71% vs 29.83%, P=0.521; 64.47% vs 64.71% vs 68.51%, P=0.827). The results of multiple regression analysis indicated that there was no independent correlation between different referral modes regarding sICH (OR_MS: 0.50, 95%CI: 0.18, 1.38, P=0.1830; OR_DS: 0.47, 95%CI: 0.19, 1.16, P=0.1000), mortality (OR_MS: 0.56, 95%CI: 0.19, 1.67, P=0.2993; OR_DS: 0.65, 95%CI: 0.25, 1.69, P=0.3744) and poor outcome (OR_MS: 0.61, 95%CI: 0.25, 1.47, P=0.2705; OR_DS: 0.53, 95%CI: 0.24, 1.18, P=0.1223). However, there was a correlation between MS group and cost (β=30449.73, 95%CI: 11022.18, 49877.29; P=0.0023). The multiple regression analysis on patients finally admitted in comprehensive stroke center (MS+DS) versus patients finally admitted in primary stroke center (DD) showed that DD mode was independently associated with lower costs (β=-19438.86, 95%CI: -35977.79, -2899.94; P=0.0219).

Conclusion

There was no independent correlation between three referral modes and sICH, mortality, poor outcome correspondingly. Different referral modes can be implemented in clinical practice according to the situations encountered. Compared to MS and DS modes, DD mode is more economical.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12883-022-02751-w.

Prehospital stroke notification and endovascular therapy for large vessel occlusion: a retrospective cohort study

The impact of prehospital notification by emergency medical services (EMS) on outcomes of endovascular therapy (EVT) for large vessel occlusion (LVO) remains unclear. We therefore explored the association between prehospital notification and clinical outcomes after EVT. In this single-center retrospective study from 2016 through 2020, we identified all LVO patients who received EVT. Based on the EMS's usage of a prehospital stroke notification system, we categorized patients into two groups, Hotline and Non-hotline. The primary outcome was good neurological outcome at 90 days; other time metrics were also evaluated. Of all 312 LVO patients, the proportion of good neurological outcomes was 94/218 (43.1%) in the Hotline group and 8/34 (23.5%) in the Non-hotline group (adjusted odds ratio 2.86; 95% confidence interval 1.12 to 7.33). Time from hospital arrival to both tissue plasminogen activator and to groin puncture were shorter in the Hotline group (30 (24 to 38) min vs 48(37 to 65) min, p < 0.001; 40 (32 to 54) min vs 76 (50 to 97) min, p < 0.001), respectively. In conclusion, prehospital notification was associated with a reduction in time from hospital arrival to intervention and improved clinical outcomes in LVO patients treated with EVT.

Prehospital triage tools across the world: a scoping review of the published literature

BACKGROUND

Accurate triage of the undifferentiated patient is a critical task in prehospital emergency care. However, there is a paucity of literature synthesizing currently available prehospital triage tools. This scoping review aims to identify published tools used for prehospital triage globally and describe their performance characteristics.

METHODS

A comprehensive search was performed of primary literature in English-language journals from 2009 to 2019. Papers included focused on emergency medical services (EMS) triage of single patients. Two blinded reviewers and a third adjudicator performed independent title and abstract screening and subsequent full-text reviews.

RESULTS

Of 1521 unique articles, 55 (3.6%) were included in the final synthesis. The majority of prehospital triage tools focused on stroke (n = 19; 35%), trauma (19; 35%), and general undifferentiated patients (15; 27%). All studies were performed in high income countries, with the majority in North America (23, 42%) and Europe (22, 40%). 4 (7%) articles focused on the pediatric population. General triage tools aggregate prehospital vital signs, mental status assessments, history, exam, and anticipated resource need, to categorize patients by level of acuity. Studies assessed the tools' ability to accurately predict emergency department triage assignment, hospitalization and short-term mortality. Stroke triage tools promote rapid identification of patients with acute large vessel occlusion ischemic stroke to trigger timely transport to diagnostically- and therapeutically-capable hospitals. Studies evaluated tools' diagnostic performance, impact on tissue plasminogen activator administration rates, and correlation with in-hospital stroke scales. Trauma triage tools identify patients that require immediate transport to trauma centers with emergency surgery capability. Studies evaluated tools' prediction of trauma center need, under-triage and over-triage rates for major trauma, and survival to discharge.

CONCLUSIONS

The published literature on prehospital triage tools predominantly derive from high-income health systems and mostly focus on adult stroke and trauma populations. Most studies sought to further simplify existing triage tools without sacrificing triage accuracy, or assessed the predictive capability of the triage tool. There was no clear 'gold-standard' singular prehospital triage tool for acute undifferentiated patients.

TRIAL REGISTRATION

Not applicable.

Detection to Hospital Door: Gender Differences of Patients With Acute Stroke Symptoms

Although prehospital stroke management is challenging, it is a crucial part of the acute stroke chain to enable equal access to highly specialised stroke care. It involves a critical understanding of players usually not specialized in acute stroke treatments. There is contradictory information about gender inequity in prehospital stroke detection, dispatch, and delivery to hospital stroke centers. The aim of this narrative review is to summarize the knowledge of gender differences in the first three stages of acute stroke management. Information on the detection of acute stroke symptoms by patients, their relatives, and bystanders is discussed. Women seem to have a better overall knowledge about stroke, although general understanding needs to be improved. However, older age and different social situations of women could be identified as reasons for reduced and delayed help-seeking. Dispatch and delivery lie within the responsibility of the emergency medical service. Differences in clinical presentation with symptoms mainly affecting general conditions could be identified as a crucial challenge leading to gender inequity in these stages. Improvement of stroke education has to be applied to tackle this inequal management. However, specifically designed projects and analyses are needed to understand more details of sex differences in prehospital stroke management, which is a necessary first step for the potential development of substantially improving strategies.

Hemorrhage Enlargement Is More Frequent in the First 2 Hours: A Prehospital Mobile Stroke Unit Study

Background:

Hematoma enlargement (HE) after intracerebral hemorrhage (ICH) is a therapeutic target for improving outcomes. Hemostatic therapies to prevent HE may be more effective the earlier they are attempted. An understanding of HE in first 1 to 2 hours specifically in the prehospital setting would help guide future treatment interventions in this time frame and setting.

Methods:

Patients with spontaneous ICH within 4 hours of symptom onset were prospectively evaluated between May 2014 and April 2020 as a prespecified substudy within a multicenter trial of prehospital mobile stroke unit versus standard management. Baseline computed tomography scans obtained <1, 1 to 2, and 2 to 4 hours postsymptom onset on the mobile stroke unit in the prehospital setting were compared with computed tomography scans repeated 1 hour later and at 24 hours in the hospital. HE was defined as >6 mL if baseline ICH volume was < 20 mL and 33% increase if baseline volume >20 mL. The association between time from symptom onset to baseline computed tomography (hours) and HE was investigated using Wilcoxon rank-sum test when time was treated as a continuous variable and using Fisher exact test when time was categorized. Kruskal-Wallis and Wilcoxon rank-sum tests evaluated differences in baseline volumes and HE. Univariable and multivariable logistic regression analyses were conducted to identify factors associated with HE and variable selection was performed using cross-validated L1-regularized (Lasso regression). This study adhered to STROBE guidelines (Strengthening the Reporting of Observational Studies in Epidemiology) for cohort studies.

Results:

One hundred thirty-nine patients were included. There was no difference between baseline ICH volumes obtained <1 hour (n=43) versus 1 to 2 hour (n=51) versus >2 hours (n=45) from symptom onset (median [interquartile range], 13 mL [6–24] versus 14 mL [6–30] versus 12 mL [4–19]; P =0.65). However, within the same 3 time epochs, initial hematoma growth (volume/time from onset) was greater with earlier baseline scanning (median [interquartile range], 17 mL/hour [9–35] versus 9 mL/hour [5–23]) versus 4 mL/hour [2–7]; P <0.001). Forty-nine patients had repeat scans 1 hour after baseline imaging (median, 2.3 hours [interquartile range. 1.9–3.1] after symptom onset). Eight patients (16%) had HE during that 1-hour interval; all of these occurred in patients with baseline imaging within 2 hours of onset (5/18=28% with baseline imaging within 1 hour, 3/18=17% within 1–2 hour, 0/13=0% >2 hours; P =0.02). HE did not occur between the scans repeated at 1 hour and 24 hours. No association between baseline variables and HE was detected in multivariable analyses.

Conclusions:

HE in the next hour occurs in 28% of ICH patients with baseline imaging within the first hour after symptom onset, and in 17% of those with baseline imaging between 1 and 2 hours. These patients would be a target for ultraearly hemostatic intervention.

Sex and Age Differences in Patient-Reported Acute Stroke Symptoms

Background

Identification of sex- and age-related differences in the presentation of atypical symptoms at stroke onset may reduce prehospital delay and improve stroke treatment if acknowledged at first contact.

Aim

To explore sex- and age-related differences in patient-reported typical and atypical symptoms of a stroke.

Methods

We used data from a cross-sectional survey at two non-comprehensive stroke units in the Capital Region of Denmark. Patient-reported symptoms, stroke knowledge, and behavioral response were analyzed by the Chi-square test or a Fisher's exact test separated by sex. Multivariable logistic regression adjusted for covariates were used to explore sex- and age-related differences according to each patient-reported typical or atypical symptoms.

Results

In total, 479 patients with acute stroke were included (median age 74 years [25th to 75th percentile: 64–80], and 40.1% were women). Female sex was associated with higher odds of presenting with atypical symptoms, such as loss of consciousness (OR 2.12 [95% CI 1.08–4.18]) and nausea/vomiting (OR 2.33 [95% CI 1.24–4.37]), and lower odds of presenting with lower extremity paresis (OR 0.59 [95% CI 0.39–0.89). With each year of age, the odds decreased of presenting with sensory changes (OR 0.95 [95% CI 0.94–0.97]) and upper extremity paresis (OR 0.98 [95% CI 0.96–0.99]), whereas odds of presenting with dysphagia (OR 1.06 [95% CI 1.02–1.11]) increased.

Conclusions

Patients of female sex and younger age reported on admission more frequently atypical stroke symptoms. Attention should be drawn to this possible atypical first presentation to facilitate correct identification and early stroke revascularization treatment to improve the outcome for both sexes.

Comparison of Mobile Stroke Unit With Usual Care for Acute Ischemic Stroke Management: A Systematic Review and Meta-analysis

IMPORTANCE

So far, uncertainty remains as to whether there is sufficient cumulative evidence that mobile stroke unit (MSU; specialized ambulance equipped with computed tomography scanner, point-of-care laboratory, and neurological expertise) use leads to better functional outcomes compared with usual care.

OBJECTIVE

To determine with a systematic review and meta-analysis of the literature whether MSU use is associated with better functional outcomes in patients with acute ischemic stroke (AIS).

DATA SOURCES

MEDLINE, Cochrane Library, and Embase from 1960 to 2021.

STUDY SELECTION

Studies comparing MSU deployment and usual care for patients with suspected stroke were eligible for analysis, excluding case series and case-control studies.

DATA EXTRACTION AND SYNTHESIS

Independent data extraction by 2 observers, following the PRISMA and MOOSE reporting guidelines. The risk of bias in each study was determined using the ROBINS-I and RoB2 tools. In the case of articles with partially overlapping study populations, unpublished disentangled results were obtained. Data were pooled in random-effects meta-analyses.

MAIN OUTCOMES AND MEASURES

The primary outcome was excellent outcome as measured with the modified Rankin Scale (mRS; score of 0 to 1 at 90 days).

RESULTS

Compared with usual care, MSU use was associated with excellent outcome (adjusted odds ratio [OR], 1.64; 95% CI, 1.27-2.13; P < .001; 5 studies; n = 3228), reduced disability over the full range of the mRS (adjusted common OR, 1.39; 95% CI, 1.14-1.70; P = .001; 3 studies; n = 1563), good outcome (mRS score of 0 to 2: crude OR, 1.25; 95% CI, 1.09-1.44; P = .001; 6 studies; n = 3266), shorter onset-to-intravenous thrombolysis (IVT) times (median reduction, 31 minutes [95% CI, 23-39]; P < .001; 13 studies; n = 3322), delivery of IVT (crude OR, 1.83; 95% CI, 1.58-2.12; P < .001; 7 studies; n = 4790), and IVT within 60 minutes of symptom onset (crude OR, 7.71; 95% CI, 4.17-14.25; P < .001; 8 studies; n = 3351). MSU use was not associated with an increased risk of all-cause mortality at 7 days or at 90 days or with higher proportions of symptomatic intracranial hemorrhage after IVT.

CONCLUSIONS AND RELEVANCE

Compared with usual care, MSU use was associated with an approximately 65% increase in the odds of excellent outcome and a 30-minute reduction in onset-to-IVT times, without safety concerns. These results should help guideline writing committees and policy makers.

Translation, cross-cultural adaptation, and validation of the Los Angeles Prehospital Stroke Screen for use in Brazil

ABSTRACT Background: Stroke is one of the leading causes of death and neurological disability in the world. Several scales help professionals in the early recognition of the disease. However, none of these were developed in Brazil. Objectives: To translate the Los Angeles Prehospital Stroke Screen (LAPSS) into Brazilian Portuguese, and cross-culturally adapt and validate the scale in a representative sample of the Brazilian population. Methods: This study was carried out in two phases: the first consisted in the translation and cross-cultural validation of the LAPSS, and the second in a cross-sectional study with prospectively collected data in patients with suspected stroke treated in a Brazilian prehospital and referred to a stroke center. Statistical analysis was used to assess the sensitivity, specificity, and accuracy of the scale. Cohen's Kappa coefficient (κ) was used for psychometric assessment. Results: After translation and cross-cultural adaptation, the scale was applied to 86 patients. The scale presented a sensitivity of 83.8%, positive predictive value of 79.50%, specificity of 40.70%, negative predictive value of 47.80%, and accuracy of 77%. Cohen’s kappa coefficient was calculated using data from 26 (30.23%) patients and the results showed excellent inter-rater reliability in the majority of the items (52.96%). Conclusions: The scale was translated and cross-culturally adapted for use in Brazil. The scale presented high sensitivity and accuracy but low specificity, and the Cohen’s kappa demonstrated inter-rater reliability. The greatest difficulties occurred when the evaluation included subjective identifications. The scale excluded patients < 45 years old as stroke suspects.

Pre-Hospital Delay in Patients With Acute Stroke During the Initial Phase of the Coronavirus Disease 2019 Outbreak

BACKGROUND

When a sudden outbreak of an infectious disease occurs, emergency medical services (EMS) response could be negatively affected. The poor prognosis of acute stroke may be largely attributed to delays in treatment. This study aimed to identify the impact of the sudden outbreak of coronavirus disease 2019 (COVID-19) on EMS response for patients with acute stroke.

METHODS

This comparative cross-sectional study was conducted in 25 safety centers in Seoul, Korea. We enrolled patients with acute stroke who were transferred to the emergency department by EMS. The study period was from February-April 2020 and the same period in 2019. Patients were divided into two groups, pre-COVID-19 period and early-COVID-19 period, and previously collected patient data were analyzed. We performed comparative analyses of EMS response and clinical outcomes between the groups.

RESULTS

Of 465 patients, 231 (49.7%) had an acute stroke during the study period. There was no significant difference between clinical characteristics of patients with acute stroke before and after the COVID-19 outbreak. EMS response times increased significantly during the early COVID-19 outbreak. The intensive care unit admission rate and mortality rate increased during the early COVID-19 outbreak.

CONCLUSION

In the initial phase after the sudden COVID-19 outbreak, EMS response times for acute stroke were delayed and the clinical outcomes of patients with acute stroke deteriorated.

Paramedic Norwegian Acute Stroke Prehospital Project (ParaNASPP) study protocol: a stepped wedge randomised trial of stroke screening using the National Institutes of Health Stroke Scale in the ambulance

Background

Less than 50% of stroke patients in Norway reach hospital within 4 h of symptom onset. Early prehospital identification of stroke and triage to the right level of care may result in more patients receiving acute treatment. Quality of communication between paramedics and the stroke centre directly affects prehospital on-scene time, emphasising this as a key factor to reduce prehospital delay. Prehospital stroke scales are developed for quick and easy identification of stroke, but have poor sensitivity and specificity compared to an in-hospital assessment with the National Institutes of Health Stroke Scale (NIHSS). The aim of the Paramedic Norwegian Acute Stroke Prehospital Project (ParaNASPP) is to assess whether a structured learning program, prehospital NIHSS and a mobile application facilitating communication with the stroke physician may improve triage of acute stroke patients.

Methods

A stepped wedge cluster randomised controlled intervention design will be used in this trial in Oslo, Norway. Paramedics at five ambulance stations will enrol adult patients with suspected stroke within 24 h of symptom onset. All paramedics will begin in a control phase with standard procedures. Through an e-learning program and practical training, a random and sequential switch to the intervention phase takes place. A mobile application for NIHSS scoring, including vital patient information for treatment decisions, transferring data from paramedics to the on-call stroke physician at the Stroke Unit at Oslo University Hospital, will be provided for the intervention.

The primary outcome measure is positive predictive value (PPV) for prehospital identification of patients with acute stroke defined as the proportion of patients accepted for stroke evaluation and discharged with a final stroke diagnosis. One thousand three hundred patients provide a 50% surplus to the 808 patients needed for 80% power to detect a 10% increase in PPV.

Discussion

Structured and digital communication using a common scale like NIHSS may result in increased probability for better identification of stroke patients and less stroke mimics delivered to a stroke team for acute diagnostics and treatment in our population.

Trial registration

ClinicalTrials.govNCT04137874. Registered on October 24, 2019.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13063-022-06006-4.

Factors associated with delayed revascularization in patients with ischemic stroke: a prospective study in one French region

BACKGROUND AND IMPORTANCE

Optimizing the care pathway of stroke is crucial for the revascularization of ischemic stroke.

OBJECTIVES

to identify factors associated with (1) a time interval over 4 h between the symptom onset and cerebral imaging in suspected stroke patients and (2) the absence of revascularization in patients with ischemic stroke.

DESIGN, SETTINGS AND PARTICIPANTS

Patients over 18 years old with a suspected stroke admitted in 22 emergency rooms or stroke units in one French region between 1 March 2019 and 30 April 2019 were prospectively included by filling a dedicated form.

OUTCOME MEASURES AND ANALYSIS

Factors associated with the previously mentioned outcome measures were identified using logistic regression models.

MAIN RESULTS

In total 991 patients were included; 537 patients (64% of 845 with available time intervals) were admitted more than 4 h after symptom onset. Three predictors were identified: not calling emergency medical services (EMS) [odds-ratio (OR) 5.2; 95% confidence interval (3.4-8.1)], a preexisting autonomy loss [2.0 (1.3-2.9)] and atypical clinical presentation [2.0 (1.3-3.1)]. A total of 385 patients had an ischemic stroke of whom 93 underwent a revascularization procedure (24%). The same three predictors were associated with the absence of revascularization procedure, added to an initial admission in a hospital without stroke unit [3.1 (1.1-8.6)].

CONCLUSION

This study shows that efforts to organize the care chain for stroke need to be intensified in the region to reduce treatment time intervals, which could include information campaigns focused on the impact of EMS call and the clinical presentation recognition.

Shifting acute stroke management to the prehospital setting

PURPOSE OF REVIEW

The earlier the treatment, the better the outcomes after acute ischemic stroke. Optimizing prehospital care bears potential to shorten treatment times. We here review the recent literature on mothership vs. drip-and-ship as well as mobile stroke unit concepts.

RECENT FINDINGS

Mobile stroke units result in the shortest onset-to-treatment times in mostly urban settings.

SUMMARY

Future research should focus on further streamlining processes around mobile stroke units, especially improving dispatch algorithms and improve referral for endovascular therapy.

Agreement and Reliability Analysis of Machine Learning Scaling and Wireless Monitoring in the Assessment of Acute Proximal Weakness by Experts and Non-Experts: A Feasibility Study

Assessing the symptoms of proximal weakness caused by neurological deficits requires the knowledge and experience of neurologists. Recent advances in machine learning and the Internet of Things have resulted in the development of automated systems that emulate physicians’ assessments. The application of those systems requires not only accuracy in the classification but also reliability regardless of users’ proficiency in the real environment for the clinical point-of-care and the personalized health management. This study provides an agreement and reliability analysis of using a machine learning-based scaling of Medical Research Council (MRC) proximal scores to evaluate proximal weakness by experts and non-experts. The system trains an ensemble learning model using the signals from sensors attached to the limbs of patients in a neurological intensive care unit. For the agreement analysis, we investigated the percent agreement of MRC proximal scores and Bland-Altman plots of kinematic features between the expert- and non-expert scaling. We also analyzed the intra-class correlation coefficients (ICCs) of kinematic features and Krippendorff’s alpha of the observers’ scaling for the reliability analysis. The mean percent agreement between the expert- and the non-expert scaling was 0.542 for manual scaling and 0.708 for autonomous scaling. The ICCs of kinematic features measured using sensors ranged from 0.742 to 0.850, whereas the Krippendorff’s alpha of manual scaling for the three observers was 0.275. The autonomous assessment system can be utilized by the caregivers, paramedics, or other observers during an emergency to evaluate acute stroke patients.