Association Between Onset-to-Door Time and Clinical Outcomes After Ischemic Stroke

Ischemic stroke care for patients affiliated to the French agricultural health insurance scheme: A national study

BACKGROUND

Health disparities along the rural-urban spectrum are a growing concern. The objective of this study was to determine whether in France, clinical profile, care and outcome after ischemic stroke differed between patients affiliated to the statutory health insurance system dedicated to the agricultural economic sector (i.e., Mutualité Sociale Agricole [MSA]) and all other patients.

METHODS

Data on all patients aged≥20 years hospitalized for ischemic stroke in mainland France in 2018 were extracted from the French National Health Insurance Data System. Age-standardized percentages were used to compare the care accessed by MSA versus other stroke patients. Associations between health insurance scheme and case fatality were assessed using Poisson regression.

RESULTS

Of 87,864 stroke cases 7928 (9%) were MSA patients. MSA patients were more often rural dwellers (75.4 versus 32%) and older (median age: 84 versus 76 years). In the 12 months prior to the stroke, access to general practitioner (GP) was similar, but MSA patients were less likely to have an appointment with a cardiologist. Pre-stroke drug prescriptions suggested a better cardiovascular profile in male MSA patients (e.g., antidiabetics: 18.1 versus 21.5%). A part from a lower access to stroke unit (e.g., women: 55.3 versus 59%) other acute care indicators, including reperfusion therapy, were comparable. The crude 7-day case fatality was higher for MSA patients (Relative Risk [RR]: 1.44, 95% CI [1.32-1.57]), but this disadvantage reduced to non-significant level after adjustment for age, comorbidities and stroke management (adjusted RR: 1.07 95% CI [0.98-1.18]) CONCLUSIONS: For the mostly farming, rural, MSA population, pre-stroke, acute and post-stroke care did not differ markedly from that provided to other patients. The lower density of GP in rural areas and the remoteness from specialized center did not result in less access to preventive and acute stroke care for MSA patients in 2018.

Outcomes and risk factors for functional prognosis at 3 months after intravenous thrombolysis with r-tPA in patients with acute ischemic stroke: a retrospective cohort study

Intravenous thrombolysis (IVT) with recombinant tissue plasminogen activator (rt-PA) is the preferred treatment for acute ischemic stroke (AIS). Nevertheless, only approximately half of patients undergoing IVT experience positive outcomes. The objective of the study was to examine the clinical characteristics of patients with AIS and identify predictors for unfavorable clinical outcomes at 3 months after IVT. This retrospective cohort study comprised 3805 consecutive patients diagnosed with AIS who received IVT. Patients categorized as having a poor outcome were those with a modified Rankin scale score (mRS) of 3-6, while those categorized as having a good outcome had a score of 0-2. Clinical profiles and laboratory examinations were compared among patients with differing outcomes. A logistic regression model was utilized to investigate potential factors correlated with unfavorable outcomes. Of the 3805 patients included in the study, 3176 (83.5%) were found to have a good outcome, while 629 (16.5%) experienced an poor outcome following IVT. Advancing age (OR = 1.037, P < 0.001) and higher baseline National Institutes of Health Stroke Scale (NIHSS) scores (OR = 1.156, P < 0.001) were significant independent predictors of a poor outcome. The area under curve (AUC) values for age, NIHSS score, and the combined effect of age and NIHSS score in predicting a poor response were 0.644, 0.761, and 0.777, respectively. Our research indicates that advancing age and higher baseline NIHSS score may serve as prognostic indicators for predicting early unfavorable outcomes following IVT in patients with AIS.

Assessment of the Sensitivity of a Smartphone App to Assist Patients in the Identification of Stroke and Myocardial Infarction: Cross-Sectional Study

Background

Most people do not recognize symptoms of neurological and cardiac emergencies in a timely manner. This leads to delays in hospital arrival and reduced access to therapies that can open arteries. We created a smartphone app to help patients and families evaluate if symptoms may be high risk for stroke or heart attack (myocardial infarction, MI). The ECHAS (Emergency Call for Heart Attack and Stroke) app guides users to assess their risk through evidence-based questions and a test of weakness in one arm by evaluating finger-tapping on the smartphone.

Objective

This study is an initial step in the accuracy evaluation of the app focused on sensitivity. We evaluated whether the app provides appropriate triage advice for patients with known stroke or MI symptoms in the Emergency Department. We designed this study to evaluate the sensitivity of the app, since the most dangerous output of the app would be failure to recognize the need for emergency evaluation. Specificity is also important, but the consequences of low specificity are less dangerous than those of low sensitivity.

Methods

In this single-center cross-sectional study, we enrolled patients presenting with symptoms of possible stroke or MI. The ECHAS app assessment consisted of a series of evidence-based questions regarding symptoms and a test of finger-tapping speed and accuracy on the phone's screen to detect unilateral arm weakness. The primary outcome was the sensitivity of the ECHAS app in detecting the need for ED evaluation. The secondary outcome was the sensitivity of the ECHAS app in detecting the need for hospital admission. Two independent and blinded board-certified physicians reviewed the medical record and adjudicated the appropriateness of the ED visit based on a 5-point score (ground truth). Finally, we asked patients semistructured questions about the app's ease of use, drawbacks, and benefits.

Results

We enrolled 202 patients (57 with stroke and 145 with MI). The ECHAS score was strongly correlated with the ground truth appropriateness score (Spearman correlation 0.41, P<.001). The ECHAS app had a sensitivity of 0.98 for identifying patients in whom ED evaluation was appropriate. The app had a sensitivity of 1.0 for identifying patients who were admitted to the hospital because of their ED evaluation. Patients completed an app session in an average of 111 (SD 60) seconds for the stroke pathway and 60 (SD 33) seconds for the MI pathway. Patients reported that the app was easy to use and valuable for personal emergency situations at home.

Conclusions

The ECHAS app demonstrated a high sensitivity for the detection of patients who required emergency evaluation for symptoms of stroke or MI. This study supports the need for a study of specificity of the app, and then a prospective trial of the app in patients at increased risk of MI and stroke.

Bathing-Related Ischemic Stroke: Association between Stroke Subtype and Cerebral Small Vessel Disease

AIMS

Bathing-related ischemic stroke (BIS) is sometimes fatal. However, its mechanisms and risk factors remain unclear. We aimed to identify the incidence of stroke subtypes in BIS, and clarify the impact of cerebral small vessel disease (CSVD) on BIS.

METHODS

Consecutive patients with ischemic stroke between October 2012 and February 2022 were retrospectively screened. The inclusion criteria were: 1) onset-to-door time within 7 days; and 2) availability of the results of MRI evaluation of CSVD markers during hospitalization. BIS was defined as an ischemic stroke that occurred while or shortly after bathing. We investigated the incidence of the stroke subtype and the correlation between CSVD markers and BIS.

RESULTS

1,753 ischemic stroke patients (1,241 [71%] male, median age 69 years) were included. 57 patients (3%) were included in the BIS group. A higher frequency of large artery atherosclerosis (LAA) (prevalence ratio [PR] 2.069, 95% confidence interval [CI] 1.089 to 3.931, p=0.026) and lower frequency of cardio-embolism (CES) (PR 0.362, 95% CI 0.132 to 0.991, p=0.048) in BIS cases were identified. Moreover, lower periventricular hyperintensity (PVH) Fazekas grade (PR 0.671, 95% CI 0.472 to 0.956, p=0.027) and fewer cerebral microbleeds (CMBs) in deep brain region (PR 0.810, 95%CI 0.657 to 0.999, p=0.049) were associated with BIS cases.

CONCLUSIONS

The BIS group was more likely to develop LAA and less likely to develop CES. Lower PVH grade and fewer CMBs in deep brain region were associated with the development of BIS.

Early Neurological Deterioration and Time to Start Dual Antiplatelet Therapy in Patients With Acute Mild-to-Moderate Ischemic Stroke: A Pre-Specified Post Hoc Analysis of the ATAMIS Trial

BACKGROUND AND PURPOSE

This study comprised a post hoc analysis of the Antiplatelet Therapy in Acute Mild to Moderate Ischemic Stroke (ATAMIS) trial aiming to determine whether the effect of dual antiplatelet therapy compared with that of monotherapy on preventing early neurological deterioration (END) differed according to the time from stroke onset to antiplatelet therapy (OTT).

METHODS

In the ATAMIS trial, patients were divided into two subgroups: OTT from 0 to 24 hours (0-24 h group) and OTT from 24 to 48 hours (24-48 h group). We conducted multivariate regression analysis with continuous and categorical OTT to detect the effect of antiplatelet therapy. The primary outcome was END at 7 days, defined as an increase in the National Institutes of Health Stroke Scale (NIHSS) score of more than two points compared with the baseline. The safety outcomes were bleeding events and intracranial hemorrhage within 90 days.

RESULTS

A total of 2,915 patients were included. With respect to END at 7 days, clopidogrel plus aspirin showed a lower proportion than aspirin alone across continuous OTT (4.8% vs. 6.7%; adjusted risk difference, -1.9%; 95% confidence interval [CI], -3.6% to -0.2%; P=0.03), and was lower in the 0-24 hours group (5.7% vs. 9.2%; adjusted risk difference, -3.7%; 95% CI, -5.5% to -2.0%; P<0.01), but similar in the 24-48 hours group (3.5% vs. 2.9%; adjusted risk difference, 0.6%; 95% CI, -0.8% to 2.0%; P=0.40). We identified a significant interaction between the treatment effect and time subgroup with respect to the primary outcome (P=0.03). The occurrence of bleeding events and intracranial hemorrhage was similar in the time subgroup.

CONCLUSION

For patients with acute mild-to-moderate ischemic stroke, clopidogrel plus aspirin was associated with a lower risk of END at 7 days than aspirin alone when it was started within 24 hours of symptom onset.

Mapping the Ecological Terrain of Stroke Prehospital Delay: A Nationwide Registry Study

BACKGROUND

Delays in hospital presentation limit access to acute stroke treatments. While prior research has focused on patient-level factors, broader ecological and social determinants have not been well studied. We aimed to create a geospatial map of prehospital delay and examine the role of community-level social vulnerability.

METHODS

We studied patients with ischemic stroke who arrived by emergency medical services in 2015 to 2017 from the American Heart Association Get With The Guidelines-Stroke registry. The primary outcome was time to hospital arrival after stroke (in minutes), beginning at last known well in most cases. Using Geographic Information System mapping, we displayed the geography of delay. We then used Cox proportional hazard models to study the relationship between community-level factors and arrival time (adjusted hazard ratios [aHR] <1.0 indicate delay). The primary exposure was the social vulnerability index (SVI), a metric of social vulnerability for every ZIP Code Tabulation Area ranging from 0.0 to 1.0.

RESULTS

Of 750 336 patients, 149 145 met inclusion criteria. The mean age was 73 years, and 51% were female. The median time to hospital arrival was 140 minutes (Q1: 60 minutes, Q3: 458 minutes). The geospatial map revealed that many zones of delay overlapped with socially vulnerable areas (https://harvard-cga.maps.arcgis.com/apps/webappviewer/index.html?id=08f6e885c71b457f83cefc71013bcaa7). Cox models (aHR, 95% CI) confirmed that higher SVI, including quartiles 3 (aHR, 0.96 [95% CI, 0.93-0.98]) and 4 (aHR, 0.93 [95% CI, 0.91-0.95]), was associated with delay. Patients from SVI quartile 4 neighborhoods arrived 15.6 minutes [15-16.2] slower than patients from SVI quartile 1. Specific SVI themes associated with delay were a community's socioeconomic status (aHR, 0.80 [95% CI, 0.74-0.85]) and housing type and transportation (aHR, 0.89 [95% CI, 0.84-0.94]).

CONCLUSIONS

This map of acute stroke presentation times shows areas with a high incidence of delay. Increased social vulnerability characterizes these areas. Such places should be systematically targeted to improve population-level stroke presentation times.

Analysis of onset-to-door time and its influencing factors in Chinese patients with acute ischemic stroke during the 2020 COVID-19 epidemic: a preliminary, prospective, multicenter study

BACKGROUND

Pre-hospital delay in China is a serious issue with unclear relevant reasons, seriously impeding the adoption of appropriate measures. Herein, we analyzed the onset-to-door time (ODT) in Chinese patients with acute ischemic stroke (AIS) and its influencing factors.

METHODS

We prospectively recruited 3,459 patients with AIS from nine representative tertiary general hospitals in China between January and June 2022. Patients were divided into ODT ≤ 3 h and ODT > 3 h groups. Following single-factor analysis, binary logistic regression analysis was performed to evaluate the risk factors leading to pre-hospital delay.

RESULTS

In total, 763 (21.83%) patients arrived at the hospital within 3 h of onset. After adjusting for confounding factors, the risk factors for ODT were residence in rural areas (odds ratio [OR]: 1.478, 95% credibility interval [CI]: 1.024-2.146) and hospital transfer (OR: 7.479, 95% CI: 2.548-32.337). The protective factors for ODT were location of onset ≤ 20 km from the first-visit hospital (OR: 0.355, 95% CI: 0.236-0.530), transportation by emergency medical services (OR: 0.346, 95% CI: 0.216-0.555), history of atrial fibrillation (OR: 0.375, 95% CI: 0.207-0.679), moderate stroke (OR: 0.644, 95% CI: 0.462-0.901), and severe stroke (OR: 0.506, 95% CI: 0.285-0.908).

CONCLUSIONS

Most patients with AIS fail to reach a hospital within the critical 3-h window. The following measures are recommended to reduce pre-hospital delays: reasonable distribution of hospitals accessible to nearby residents, minimizing interhospital transfer, paying attention to patients with mild stroke, and encouraging patients to use ambulance services. Pre-hospital delays for patients can be reduced by implementing these measures, ultimately improving the timeliness of treatment and enhancing patient prognosis. This study was carried out amid the COVID-19 pandemic, which presented challenges and constraints.

TransRender: a transformer-based boundary rendering segmentation network for stroke lesions

Vision transformer architectures attract widespread interest due to their robust representation capabilities of global features. Transformer-based methods as the encoder achieve superior performance compared to convolutional neural networks and other popular networks in many segmentation tasks for medical images. Due to the complex structure of the brain and the approximate grayscale of healthy tissue and lesions, lesion segmentation suffers from over-smooth boundaries or inaccurate segmentation. Existing methods, including the transformer, utilize stacked convolutional layers as the decoder to uniformly treat each pixel as a grid, which is convenient for feature computation. However, they often neglect the high-frequency features of the boundary and focus excessively on the region features. We propose an effective method for lesion boundary rendering called TransRender, which adaptively selects a series of important points to compute the boundary features in a point-based rendering way. The transformer-based method is selected to capture global information during the encoding stage. Several renders efficiently map the encoded features of different levels to the original spatial resolution by combining global and local features. Furthermore, the point-based function is employed to supervise the render module generating points, so that TransRender can continuously refine the uncertainty region. We conducted substantial experiments on different stroke lesion segmentation datasets to prove the efficiency of TransRender. Several evaluation metrics illustrate that our method can automatically segment the stroke lesion with relatively high accuracy and low calculation complexity.

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.

Registry Studies of Stroke in Japan

Recently, the Cerebrovascular and Cardiovascular Disease Control Act was enacted, for which it was necessary to establish a comprehensive and accurate nationwide database and promote rational and economical stroke countermeasures in Japan, thus serving the public interest. Among the many studies on stroke registries, the Fukuoka Stroke Registry, a regional cohort, provides highly accurate information, and the Japanese Stroke Data Bank, a nationwide cohort, is highly comprehensive. The findings of these studies have contributed to the construction of evidence and the establishment of guidelines for stroke management. In the Nationwide survey of Acute Stroke care capacity for Proper dEsignation of Comprehensive stroke CenTer in Japan, research on improving the quality of medical care to close the gap between guidelines and clinical practice was performed using electronic medical records. This has enabled the recommendation of medical policies in Japan by visualizing medical care. In the era of healthcare big data and the Internet of Things, plenty of healthcare information is automatically recorded electronically and incorporated into databases. Thus, the establishment of stroke registries with the effective utilization of these electronic records can contribute to the development of stroke care.

Impact of areal socioeconomic status on prehospital delay of acute ischaemic stroke: retrospective cohort study from a prefecture-wide survey in Japan

OBJECTIVES

To examine whether the Areal Deprivation Index (ADI), an indicator of the socioeconomic status of the community the patient resides in, is associated with delayed arrival at the hospital and poor outcomes in patients with acute ischaemic stroke from a prefecture-wide stroke database in Japan.

DESIGN

Retrospective study.

SETTING

Twenty-nine acute stroke hospitals in Kochi prefecture, Japan.

PARTICIPANTS

Nine thousand and six hundred fifty-one patients with acute ischaemic stroke who were urgently hospitalised, identified using the Kochi Acute Stroke Survey of Onset registry. Capital and non-capital areas were analysed separately.

PRIMARY AND SECONDARY OUTCOME MEASURES

Prehospital delay defined as hospital arrival ≥4-hour after stroke onset, poor hospital outcomes (in-hospital mortality and discharge to a nursing facility) and the opportunities of intravenous recombinant tissue plasminogen activator (rt-PA) and endovascular reperfusion therapy.

RESULTS

In the overall cohort, prehospital delay was observed in 6373 (66%) patients. Among individuals residing in non-capital areas, those living in municipalities with higher ADI (more deprived) carried a significantly higher risk of prehospital delay (per one-point increase, OR (95% CI) 1.45 (1.26 to 1.66)) by multivariable logistic regression analysis. In-hospital mortality (1.45 (1.02 to 2.06)), discharge to a nursing facility (1.31 (1.03 to 1.66)), and delayed candidate arrival ≥2-hour of intravenous rt-PA (2.04 (1.30 to 3.26)) and endovascular reperfusion therapy (2.27 (1.06 to 5.00)), were more likely to be observed in the deprived areas with higher ADI. In the capital areas, postal-code-ADI was not associated with prehospital delay (0.97 (0.66 to 1.41)).

CONCLUSIONS

Living in socioeconomically disadvantaged municipalities was associated with prehospital delays of acute ischaemic stroke in non-capital areas in Kochi prefecture, Japan. Poorer outcomes of those patients may be caused by delayed treatment of intravenous rt-PA and endovascular reperfusion therapy. Further studies are necessary to determine social risk factors in the capital areas.

TRIAL REGISTRATION NUMBER

This article is linked to a clinical trial to UMIN000050189, No.: R000057166 and relates to its Result stage.

Qualitative feasibility study of the mobile app Destroke for clinical stroke monitoring based on the NIH stroke scale

BACKGROUND

Stroke is a leading cause of severe disability in the United States, but there is no effective method for patients to accurately detect the signs of stroke at home. We developed a mobile app, Destroke, that allows remote performance of a modified NIH stroke scale (NIHSS) by patients.

AIMS

To assess the feasibility of a mobile app for stroke monitoring and education by patients with a history of stroke.

MATERIALS AND METHODS

We enrolled 25 patients with a history of stroke in a prospective open-label study to evaluate the feasibility of the Destroke app in patients with stroke. Nineteen patients completed all study assessments, with a median time from stroke onset to enrollment of 5.6 years (range 0.1-12 years). We designed a modified NIHSS that assessed 12 out of 16 tasks on the NIHSS. Patients completed this test eight times over a 28-day period. We conducted pre-study surveys that assessed demographic information, stroke and cardiovascular history, baseline NIHSS, and experience using mobile technologies, and mid- and post-study surveys that assessed patient satisfaction on app usage and confidence in stroke detection.

RESULTS

Ten men and nine women participated in this study (median age of 64 (33-76)), representing ten US states and Washington D.C. Median baseline NIHSS was 0 (0-4). 15 patients reported using health apps. On a 5-point Likert scale, patients rated the app as 4.2 on being able to understand and use the app and 4.3 on using the app when instructed by their doctor. For eight patients with poor confidence in detecting the signs of a stroke before the study, six showed higher confidence after the study.

CONCLUSIONS

The use of an at-home stroke monitoring app is feasible by patients with a history of stroke and improves confidence in detecting the signs of stroke.

Impact of bilingual face, arm, speech, time (FAST) public awareness campaigns on emergency medical services (EMS) activation in a large Canadian metropolitan area

BACKGROUND AND AIMS

Face, arm, speech, time (FAST) public awareness campaigns improve stroke recognition in the general population. Whether this translates into improved emergency medical services (EMS) activation remains unclear. We assessed the association of five consecutive FAST campaigns with EMS calls for suspected strokes in a large urban area of Quebec, Canada.

METHODS

We conducted an observational study to assess data collected between June 2015 and December 2019 by the public EMS agency covering the cities of Laval and Montreal (Quebec, Canada). Five FAST campaigns were held over this period (mean duration: 9 weeks). We compared daily EMS calls before and after all FAST campaigns (2015 vs 2019) with t tests and Mann-Whitney U tests. We used single-group, univariate interrupted time series to measure changes in daily EMS calls for suspected strokes following each FAST campaign (stroke categories: any, symptom onset < 5 h, Cincinnati Prehospital Stroke Scale [CPSS] 3/3). Calls for headache served as negative control.

RESULTS

After five FAST campaigns, mean daily EMS calls increased by 28% (p < 0.001) for any suspected stroke and by 61% (p < 0.001) for stroke with symptom onset < 5 h, compared to 10.1% for headache (p = 0.012). Significant increases in daily EMS calls were observed after three campaigns (highest OR = 1.26; 95% CI 1.11, 1.43; p < 0.001). There were no significant changes in calls after individual campaigns for suspected stroke with symptom onset < 5 h, or suspected stroke with CPSS 3/3.

CONCLUSIONS

We observed an inconsistent impact of individual FAST campaigns on EMS calls for any suspected stroke, and did not observe significant EMS call changes after individual campaigns for acute (< 5 h) and severe (CPSS 3/3) strokes. These results may help stakeholders identify potential benefits and limitations of public awareness campaigns using the FAST acronym.

Impact of the COVID-19 pandemic on acute stroke care: An analysis of the 24-month data from a comprehensive stroke center in Shanghai, China

INTRODUCTION

Whether the coronavirus disease-2019 (COVID-19) pandemic is associated with a long-term negative impact on acute stroke care remains uncertain. This study aims to compare the timing of key aspects of stroke codes between patients before and after the COVID-19 pandemic.

METHODS

This retrospective cohort study was conducted at an academic hospital in Shanghai, China and included all adult patients with acute ischemic stroke hospitalized via the emergency department (ED) stroke pathway during the 24 months since the COVID-19 outbreak (COVID-19: January 1, 2020-December 31, 2021). The comparison cohort included patients with ED stroke pathway visits and hospitalizations during the same period (pre-COVID-19: January 1, 2018-December 31, 2019). We compared critical time points of prehospital and intrahospital acute stroke care between patients during the COVID-19 era and patients during the pre-COVID-19 era using t test, χ² , and Mann-Whitney U test where appropriate.

RESULTS

A total of 1194 acute ischemic stroke cases were enrolled, including 606 patients in COVID-19 and 588 patients in pre-COVID-19. During the COVID-19 pandemic, the median onset-to-hospital time was about 108 min longer compared with the same period of pre-COVID-19 (300 vs 192 min, p = 0.01). Accordingly, the median onset-to-needle time was 169 min in COVID-19 and 113 min in pre-COVID-19 (p = 0.0001), and the proportion of patients with onset-to-hospital time within 4.5 h was lower (292/606 [48.2%] vs 328/558 [58.8%], p = 0.0003) during the pandemic period. Furthermore, the median door-to-inpatient admission and door-to-inpatient rehabilitation times increased from 28 to 37 h and from 3 to 4 days (p = 0.014 and 0.0001).

CONCLUSIONS

During the 24 months of COVID-19, a prolongation of stroke onset to hospital arrival and to intravenous rt-PA administration times were noted. Meanwhile, acute stroke patients needed to stay in the ED for a longer time before hospitalization. Educational system support and process optimization should be pursued in order to acquire timely delivery of stroke care during the pandemic.

Nationally Certified Stroke Centers Outperform Self-Attested Stroke Centers in the Florida Stroke Registry

BACKGROUND

The Florida Stroke Act, signed into law in 2004, set criteria for Comprehensive Stroke Centers (CSC). For a set time period, Florida hospitals were permitted to either receive national certification (NC) or could self-attest (SA) as fulfilling CSC criteria. The aim of this project was to evaluate the quality of ischemic stroke care in NC versus SA stroke centers in Florida, using well-known, guideline-driven ischemic stroke outcome metrics.

METHODS

A total of 37 CSCs (74% of Florida CSCs) in the Florida Stroke Registry from January 2013 through December 2018 were analyzed, including 19 SA CSCs and 18 NC (13 CSCs and 5 Thrombectomy-Capable Stroke Center). Hospital- and patient-level characteristics and stroke metrics were evaluated, adjusting for demographics, medical comorbidities, and stroke severity.

RESULTS

A total of 78 424 acute ischemic stroke cases, 36 089 from SA CSCs and 42 335 from NC CSC/Thrombectomy-Capable Stroke Centers were analyzed. NC centers had older patients (73 [61-83] versus 71 [60-81]; P<0.001) with more severe strokes (median National Institutes of Health Stroke Scale score of 5 versus 4; P<0.001). NC had higher intravenous tissue-type plasminogen activator utilization (15% versus 13%; P<0.001), endovascular treatment (10% versus 7%; P<0.001) and faster median door-to-computed tomography (23 minutes [11-73] versus 31 [12-78]; P<0.001), door-to-needle (37 minutes [26-50] versus 45 [34-58]; P<0.001) and door-to-puncture times (77 minutes [50-113] versus 93 [62-140]; P<0.001). In adjusted analysis, patients arriving to NC hospitals by 3 hours were more likely to get intravenous tissue-type plasminogen activator in the 3- to 4.5-hour window (adjusted odds ratio, 1.87 [95% CI, 1.30-2.68]; P=0.001) and more likely to be treated with intravenous tissue-type plasminogen activator within 45 minutes (adjusted odds ratio, 1.61 [95% CI, 1.04-2.50]; P=0.04) compared with SA CSCs.

CONCLUSIONS

Among Florida-Stroke Registry CSCs, acute ischemic stroke performance and treatment measures at NC centers are superior to SA CSCs. These findings have implications for stroke systems of care in Florida and support legislation updates requiring NC and removal of SA claims.

Association between Prehospital Visits and Poor Health Outcomes in Korean Acute Stroke Patients: A National Health Insurance Claims Data Study

This study aimed to determine whether prehospital visits to other medical institutions before admission are associated with prolonged hospital stay, readmission, or mortality rates in acute stroke patients. Using the claims data from the Korean Health Insurance Service, a cross-sectional study was conducted on 58,418 newly diagnosed stroke patients aged ≥ 20 years from 1 January 2019 to 31 December 2019. Extended hospital stay (≥7 days; median value) following initial admission, readmission within 180 days after discharge, and all-cause mortality within 30 days were measured as health outcomes using multiple logistic regression analysis after adjusting for age, sex, income, residential area, and medical history. Stroke patients with a prehospital visit (10,992 patients, 18.8%) had a higher risk of long hospitalization (odds ratio = 1.06; 95% confidence interval = 1.02-1.10), readmission (1.19; 1.14-1.25), and mortality (1.23; 1.13-1.33) compared with patients without a prehospital visit. Female patients and those under 65 years of age had increased unfavorable outcomes (p < 0.05). Prehospital visits were associated with unfavorable health outcomes.

Evaluation of stroke pre-hospital management in Lebanon from symptoms onset to hospital arrival and impact on patients' status at discharge: a pilot study

BACKGROUND

Hospital arrival time after acute ischemic stroke onset is the major factor limiting the eligibility of patients to receive intravenous thrombolysis. Shortening the prehospital delay is crucial to reducing morbidity and mortality for stroke patients. The study was conducted to investigate the factors that influence hospital arrival time after acute stroke onset in the Lebanese population and to assess the effect of the prehospital phase on patients' prognosis at discharge.

METHOD

A prospective cross-sectional study was performed in eleven hospitals from April to July 2021 including 100 patients having stroke symptoms or transient ischemic attack (TIA). Two questionnaires were used to collect data addressing patient management in the pre-hospital phase and the in-hospital phase. Descriptive and bivariate analyses were done to evaluate the potential associations between prognosis, pre-hospital characteristics, and other factors.

RESULTS

The patients' mean age was 70.36 ± 12.25 years, 43 (53.8%) of them were females, and 79 (85%) arrived within 3 hours after symptoms onset. Diabetic patients had a significant delay in hospital arrival compared with non-diabetics (27.0%vs.7.1%, p-value = 0.009). Moreover, 37 (75.5%) of school-level education patients arrived early at the hospital compared to 7 (100%) of university-level education (p-value = 0.009). The modified Rankin Scale (mRS) at discharge in patients with hemorrhagic stroke (10 (90%)) was worse than that in patients with ischemic stroke (38 (80%)) or TIA (3 (15%)) (p-value< 0.001).

CONCLUSION

The study findings make it imperative to raise awareness about stroke symptoms among the Lebanese population. Emergency Medical Services should be utilized appropriately in the transportation of stroke patients to achieve optimal patient outcomes.

Effect of the Preparatory School FAST Stroke Educational Program

ABSTRACT

BACKGROUND: The aim of this study was to assess the effectiveness of FAST stroke educational program among all preparatory school students in the state of Qatar. METHODS: The pretest-posttest experimental research design was used to evaluate the effectiveness of the FAST educational program in Qatar. A 30-minute audiovisual presentation was given to improve knowledge of stroke. We included grade 7 to 9 students during the academic year 2018-2019. The FAST program consisted of a pretest, an educational intervention, and immediate and long-term posttests at 2 months. RESULTS: A sample of 1244 students completed presurvey and immediate postsurvey, with an average age of 13.5 (1.12) years (range, 11-18 years) and 655 (53%) females. Students had significantly ( P < .01) greater knowledge of stroke signs, symptoms, and risk factors at intermediate posttest (5.9 [2.6] and 6.2 [2.4]) and at 2 months posttest (5.6 [2.8] and 5.6 [2.7]) compared with pretest (4.8 [2.6] and 4.9 [2.6], respectively). Students also had a higher self-efficacy to seek assistance, which was sustained from pretest to long-term posttest. CONCLUSION: The FAST program improved stroke knowledge that was retained at 2 months.

Artificially-reconstructed brain images with stroke lesions from non-imaging data: modeling in categorized patients based on lesion occurrence and sparsity

Brain imaging is necessary for understanding disease symptoms, including stroke. However, frequent imaging procedures encounter practical limitations. Estimating the brain information (e.g., lesions) without imaging sessions is beneficial for this scenario. Prospective estimating variables are non-imaging data collected from standard tests. Therefore, the current study aims to examine the variable feasibility for modelling lesion locations. Heterogeneous variables were employed in the multivariate logistic regression. Furthermore, patients were categorized (i.e., unsupervised clustering through k-means method) by the charasteristics of lesion occurrence (i.e., ratio between the lesioned and total regions) and sparsity (i.e., density measure of lesion occurrences across regions). Considering those charasteristics in models improved estimation performances. Lesions (116 regions in Automated Anatomical Labeling) were adequately predicted (sensitivity: 80.0-87.5% in median). We confirmed that the usability of models was extendable to different resolution levels in the brain region of interest (e.g., lobes, hemispheres). Patients' charateristics (i.e., occurrence and sparsity) might also be explained by the non-imaging data as well. Advantages of the current approach can be experienced by any patients (i.e., with or without imaging sessions) in any clinical facilities (i.e., with or without imaging instrumentation).

Choice of intravenous thrombolysis therapy in patients with mild stroke complaining of acute dizziness

BACKGROUND

Quick identification of patients with mild ischemic stroke complaining of dizziness from other patients with benign peripheral vestibular disorders who also experience dizziness in the emergency department (ED) may be difficult. Decision-making on intravenous thrombolysis therapy (IVT) in patients whose chief symptoms include acute dizziness or vertigo remains a severe challenge for ED physicians. This study evaluated the diagnosis, treatment processes and the short-term outcomes in patients with mild vestibular stroke in the ED.

METHODS

A total of 89 consecutive patients with mild ischemic stroke primarily presenting with vestibular symptoms, who arrived at ED within 4.5 after onset, and were admitted at the stroke center of Zhejiang Provincial People's Hospital between January 2015 and March 2021 were retrospectively enrolled. Patients treated with IVT (n = 47) were compared to patients without IVT (n = 42) in terms of demographics, onset-to-door time (ODT), baseline clinical characteristics, risk factors of stroke, imaging findings, and short-term outcomes. The correlation between these parameters and IVT decision-making was analyzed.

RESULTS

Patients in IVT group more frequently presented with shorter ODT, focal neurological deficits (dysarthria, facial palsy, hemiglossoplegia, hemiparesis, hemisensory loss), disabling deficits, higher baseline National Institute of Health Stroke Scale (NIHSS) scores, and underwent multi-mode imaging before a decision. A higher proportion of isolated vestibular symptoms, acute transient vestibular syndrome, and vestibulo-vagal symptoms were found in the no-IVT group. There were no differences in demographics between the two groups. ODT was negatively correlated with the decision-making on IVT, and baseline NIHSS scores were positively correlated with the decision-making on IVT.

CONCLUSION

ODT and baseline NIHSS scores were correlated with the IVT decision in mild stroke patients primarily presenting with vestibular symptoms. Severe vestibular symptoms and disabling deficits were weakly associated with IVT decision, while the vestibulo-oculomotor signs and multi-mode imaging did not result as the influencing factors promoting the IVT decision-making for mild vestibular stroke.

Impact of Coronavirus Disease 2019 on Time Delay and Functional Outcome of Mechanical Thrombectomy in Tokyo, Japan

Objectives

An association has been reported between delays in the onset-to-door (O2D) time for mechanical thrombectomy (MT) and outbreaks of coronavirus disease 2019 (COVID-19). However, the association between other MT time courses or functional outcomes and COVID-19 outbreaks remains unclear. We compared the time courses of stroke pathways or functional outcomes in 2020 (the COVID-19 era) with those in 2019 (the pre-COVID-19 era) in Tokyo, Japan.

Materials and methods

This retrospective observational study used data from the Tokyo-tama-REgistry of Acute endovascular Thrombectomy (TREAT), a multicenter registry of MT for acute large vessel occlusion in the Tokyo Metropolitan Area. Patients who had undergone acute MT from January 2019 to December 2020 were included. Patients were classified by the year they had undergone MT (2019 or 2020).

Results

In total, 477 patients were analyzed. O2D time was significantly longer in 2020 (146.0 min) than in 2019 (105.0 min; p = 0.034). No significant difference in door-to-puncture time (D2P) time or modified Rankin Scale (mRS) score 0–2 at 90 days was seen between 2019 and 2020. In the subgroup analysis, O2D time was significantly longer in the first half of 2020 compared with 2019. Multivariable logistic regression analysis revealed that the year 2020 was a independent predictor of longer O2D time, but not for mRS score 0–2 at 90 days.

Conclusions

Although O2D time was significantly longer in the COVID-19 compared with the pre-COVID-19 era, D2P may not be significantly delayed and functional outcomes may not be different, despite the COVID-19 pandemic.

Effect of prehospital workflow optimization on treatment delays and clinical outcomes in acute ischemic stroke: A systematic review and meta-analysis

BACKGROUND

The prehospital phase is critical in ensuring that stroke treatment is delivered quickly and is a major source of time delay. This study sought to identify and examine prehospital stroke workflow optimizations (PSWOs) and their impact on improving health systems, reperfusion rates, treatment delays, and clinical outcomes.

METHODS

The authors conducted a systematic literature review and meta-analysis by extracting data from several research databases (PubMed, Cochrane, Medline, and Embase) published since 2005. We used appropriate key search terms to identify clinical studies concerning prehospital workflow optimization, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

RESULTS

The authors identified 27 articles that looked at the impact of prehospital workflow optimizations on time and treatment parameters; 26 were included in the meta-analysis. The PSWO were subgrouped into three categories: improved intravenous thrombolysis (IVT) triage, large-vessel occlusion (LVO) bypass, and mobile stroke unit (MSU). The salient findings are as follows: improved IVT triage led to significantly improved rates of IVT (relative risk [RR] = 1.80, 95% confidence interval [CI] = 1.18 to 2.75); however, MSU did not (RR = 1.22, 95% CI = 0.98 to 1.52). Improved IVT triage (standard mean difference [SMD] = -0.82, 95% CI = -1.32 to -0.32), LVO bypass (SMD = -0.80, 95% CI = -1.13 to -0.47), and MSU (SMD = -0.87, 95% CI = -1.57 to -0.17) were found to significantly reduce door-to-needle time for IVT. MSU was found to significantly reduce call-to-needle (SMD = -1.41, 95% CI = -1.94 to -0.88) and onset-to-needle (SMD = -1.15, 95% CI = -1.74 to -0.56) times for IVT. MSU additionally demonstrated significant reduction in door-to-perfusion (SMD = -0.72, 95% CI = -1.32 to -0.12) as well as call-to-perfusion (SMD = -0.73, 95% CI = -1.08 to -0.38) times for EVT. Finally, PSWO did not demonstrate significant improvements in rates of good functional outcome (RR = 1.04, 95% CI = 0.97 to 1.12) or mortality at 90 days (RR = 1.00, 95% CI = 0.76 to 1.31).

CONCLUSIONS

This systematic review and meta-analysis found that PSWO significantly improves several time metrics related to stroke treatment leading to improvement in IVT reperfusion rates. Thus, the implementation of these measures in stroke networks is a promising avenue to improve an often-neglected aspect of the stroke response. However, the limited available data suggest functional outcomes and mortality are not significantly improved by PSWO; hence, further studies and improvement strategies vis-à-vis PSWOs are warranted.

Time-outcome relationship in acute large-vessel occlusion exists across all ages: subanalysis of RESCUE-Japan Registry 2

Early reperfusion after endovascular thrombectomy is associated with an improved outcome in ischemic stroke patients; however, the time dependency in elderly patients remains unclear. We investigated the time–outcome relationships in different age subgroups. Of 2420 patients enrolled in the RESCUE-Japan Registry 2 study, a study based on a prospective registry of stroke patients with acute cerebral large-vessel occlusion at 46 centers, we analyzed the data of 1010 patients with successful reperfusion after endovascular therapy (mTICI of 2b or 3). In 3 age subgroups (< 70, 70 to < 80, and ≥ 80 years), the mRS scores at 90 days were analyzed according to 4 categories of onset-to-reperfusion time (< 180, 180 to < 240, 240 to < 300, and ≥ 300 min). In each age subgroup, the distributions of mRS scores were better with shorter onset-to-reperfusion times. The adjusted common odds ratios for better outcomes per 1-category delay in onset-to-reperfusion time were 0.66 (95% CI 0.55–0.80) in ages < 70 years, 0.66 (95% CI 0.56–0.79) in ages 70 to < 80 years, and 0.83 (95% CI 0.70–0.98) in ages ≥ 80 years. Early reperfusion was associated with better outcomes across all age subgroups. Achieving early successful reperfusion is important even in elderly patients.

Automatic Acute Stroke Symptom Detection and Emergency Medical Systems Alerting by Mobile Health Technologies: A Review

OBJECTIVES

To survey recent advances in acute stroke symptom automatic detection and Emergency Medical Systems (EMS) alerting by mobile health technologies.

MATERIALS AND METHODS

Narrative review RESULTS: Delayed activation of EMS for stroke symptoms by patients and witnesses deprives patients of rapid access to brain-saving therapies and occurs due to public unawareness of stroke features, cognitive and motor deficits produced by the stroke itself, and sleep onset. A promising emerging approach to overcoming the inherent biologic constraints of patient capacity to self-detect and respond to stroke symptoms is continuous monitoring by mobile health technologies with wireless sensors and artificial intelligence recognition systems. This review surveys 11 sensing technologies - accelerometers, gyroscopes, magnetometers, pressure sensors, touch screen and keyboard input detectors, artificial vision, and artificial hearing; and 10 consumer device form factors in which they are increasingly implemented: smartphones, smart speakers, smart watches and fitness bands, smart speakers/voice assistants, home health robots, smart clothing, smart beds, closed circuit television, smart rings, and desktop/laptop/tablet computers.

CONCLUSIONS

The increase in computing power, wearable sensors, and mobile connectivity have ushered in an array of mobile health technologies that can transform stroke detection and EMS activation. By continuously monitoring a diverse range of biometric parameters, commercially available devices provide the technologic capability to detect cardinal language, motor, gait, and sensory signs of stroke onset. Intensified translational research to convert the promise of these technologies to validated, accurate real-world deployments are an important next priority for stroke investigation.

The Impact of Stroke Public Awareness Campaigns Differs Between Sociodemographic Groups

BACKGROUND

Prehospital delays are a major obstacle to timely reperfusion therapy in acute ischemic stroke. Stroke sign recognition, however, remains poor in the community. We present an analysis of repeated surveys to assess the impact of Face, Arm, Speech, Time (FAST) public awareness campaigns on stroke knowledge.

METHODS

Four cross-sectional surveys were conducted between July 2016 and January 2019 in the province of Quebec, Canada (n = 2,451). Knowledge of FAST stroke signs (face drooping, arm weakness and speech difficulties) was assessed with open-ended questions. A bilingual English/French FAST public awareness campaign preceded survey waves 1-3 and two campaigns preceded wave 4. We used multivariable ordinal regression models weighted for age and sex to assess FAST stroke sign knowledge.

RESULTS

We observed an overall significant improvement of 26% in FAST stroke sign knowledge between survey waves 1 and 4 (odds ratio [OR] = 1.26; 95% CI: 1.02, 1.55; p = 0.035). After the last campaign, however, 30.5% (95% CI: 27.5, 33.6) of people were still unable to name a single FAST sign. Factors associated with worse performance were male sex (OR = 0.68; 95% CI: 0.53, 0.86; p = 0.002) and retirement (OR = 0.54; 95% CI: 0.35, 0.83; p = 0.005). People with lower household income and education had a tendency towards worse stroke sign knowledge and were significantly less aware of the FAST campaigns.

CONCLUSIONS

Knowledge of FAST stroke signs in the general population improved after multiple public awareness campaigns, although it remained low overall. Future FAST campaigns should especially target men, retired people and individuals with a lower socioeconomic status.

Impact of onset-to-door time on outcomes and factors associated with late hospital arrival in patients with acute ischemic stroke

Background and purpose

Previous studies have reported that early hospital arrival improves clinical outcomes in patients with acute ischemic stroke; however, whether early arrival is associated with favorable outcomes regardless of reperfusion therapy and the type of stroke onset time is unclear. Thus, we investigated the impact of onset-to-door time on outcomes and evaluated the predictors of pre-hospital delay after ischemic stroke.

Methods

Consecutive acute ischemic stroke patients who arrived at the hospital within five days of onset from September 2019 to May 2020 were selected from the prospective stroke registries of Seoul National University Hospital and Chung-Ang University Hospital of Seoul, Korea. Patients were divided into early (onset-to-door time, ≤4.5 h) and late (>4.5 h) arrivers. Multivariate analyses were performed to assess the effect of early arrival on clinical outcomes and predictors of late arrival.

Results

Among the 539 patients, 28.4% arrived early and 71.6% arrived late. Early hospital arrival was significantly associated with favorable outcomes (three-month modified Rankin Scale [mRS]: 0−2, adjusted odds ratio [aOR]: 2.03, 95% confidence interval: [CI] 1.04–3.96) regardless of various confounders, including receiving reperfusion therapy and type of stroke onset time. Furthermore, a lower initial National Institute of Health Stroke Scale (NIHSS) score (aOR: 0.94, 95% CI: 0.90–0.97), greater pre-stroke mRS score (aOR: 1.58, 95% CI: 1.18–2.13), female sex (aOR: 1.71, 95% CI: 1.14–2.58), unclear onset time, and ≤6 years of schooling (aOR: 1.76, 95% CI: 1.03–3.00 compared to >12 years of schooling) were independent predictors of late arrival.

Conclusions

Thus, the onset-to-door time of≤4.5 h is crucial for better clinical outcome, and lower NIHSS score, greater pre-stroke mRS score, female sex, unclear onset times, and ≤6 years of schooling were independent predictors of late arrival. Therefore, educating about the importance of early hospital arrival after acute ischemic stroke should be emphasized. More strategic efforts are needed to reduce the prehospital delay by understanding the predictors of late arrival.

Time to Thrombolysis and Long-Term Outcomes in Patients With Acute Ischemic Stroke: A Nationwide Study

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Measuring organizational context in Australian emergency departments and its impact on stroke care and patient outcomes

BACKGROUND

Emergency departments (ED) are challenging environments but critical for early management of patients with stroke.

PURPOSE

To identify how context affects the provision of stroke care in 26 Australian EDs.

METHOD

Nurses perceptions of ED context was assessed with the Alberta Context Tool. Medical records were audited for quality of stroke care and patient outcomes.

FINDINGS

Collectively, emergency nurses (n = 558) rated context positively with several nurse and hospital characteristics impacting these ratings. Despite these positive ratings, regression analysis showed no significant differences in the quality of stroke care (n = 1591 patients) and death or dependency (n = 1165 patients) for patients in EDs with high or low rated context.

DISCUSSION

Future assessments of ED context may need to examine contextual factors beyond the scope of the Alberta Context Tool which may play an important role for the understanding of stroke care and patient outcomes in EDs.

Notification Strategy and Predictors of Outcome in Stroke Ineligible for Reperfusion Therapies

Background, Objective: At least 70% of all stroke patients are ineligible for recanalization therapy. We identified predictors of outcome among these patients, with special focus on notification of emergency medical services (EMS).

Methods: We prospectively collected data of 250 consecutive patients with acute cerebrovascular diseases ineligible for recanalization therapy. Initial notification strategy and outcome were analyzed by regression models.

Results: EMS notification rate was 55, 41, and 21% in patients with <6, 6–24, and >24 h stroke-to-door time. Atrial fibrillation (AF; OR = 2.66, 95% CI: 1.19–5.96), stroke severity (National Institutes of Health Stroke Scale score, NIHSS; OR = 1.12, 95% CI: 1.02–1.23), history of any psychiatric disease (OR = 2.2, 95% CI: 0.98–4.97), aphasia (OR = 1.99, 95% CI: 0.99–3.98), and residence type were predictors of EMS notification. Disability (modified Rankin Scale score [mRS]) both at discharge and at 1 year was associated with age, admission NIHSS score, type of cerebrovascular disorder, and pre-stroke mRS at discharge and discharge mRS at follow-up. Age (HR = 1.05, 95% CI: 1.02–1.08) and NIHSS (HR = 1.16, 95% CI: 1.12–1.21) had a significant effect on the relative hazard of death.

Conclusions: EMS notification is influenced by AF, stroke severity, psychiatric disease, aphasia, and residence type. Early disability depends on age, the type and severity of the stroke, and pre-stroke mRS. Predictors of disability at 1 year after stroke are age, stoke severity, mRS at discharge, and recurrent ischemic stroke. Higher NIHSS and older age are associated with higher case fatality. In patients ineligible for recanalization, EMS notification had no significant effect on outcome, regarding both disability and survival.

Clinical Variables and Genetic Risk Factors Associated with the Acute Outcome of Ischemic Stroke: A Systematic Review

Stroke is a complex disease and one of the main causes of morbidity and mortality among the adult population. A huge variety of factors is known to influence patient outcome, including demographic variables, comorbidities or genetics. In this review, we expound what is known about the influence of clinical variables and related genetic risk factors on ischemic stroke outcome, focusing on acute and subacute outcome (within 24 to 48 hours after stroke and until day 10, respectively), as they are the first indicators of stroke damage. We searched the PubMed data base for articles that investigated the interaction between clinical variables or genetic factors and acute or subacute stroke outcome. A total of 61 studies were finally included in this review. Regarding the data collected, the variables consistently associated with acute stroke outcome are: glucose levels, blood pressure, presence of atrial fibrillation, prior statin treatment, stroke severity, type of acute treatment performed, severe neurological complications, leukocyte levels, and genetic risk factors. Further research and international efforts are required in this field, which should include genome-wide association studies.

Social networks and risk of delayed hospital arrival after acute stroke

Arriving rapidly to the hospital after a heart attack or stroke is critical for patients to be within time windows for treatment. Prior research in heart attacks has suggested a paradoxical role of the social environment: those who arrive early are surrounded by nonrelatives, while those who arrive late are surrounded by spouses or family members. Here, we used network methods to more deeply examine the influence of social context in stroke. We examined the relationship of personal social networks and arrival time in 175 stroke patients. Our results confirmed the paradox by showing that small and close-knit personal networks of highly familiar contacts, independent of demographic, clinical, and socioeconomic factors, were related to delay. The closed network structure led to constricted information flow in which patients and close confidants, absent outside perspectives, elected to watch-and-wait. Targeting patients with small, close-knit networks may be one strategy to improve response times.

Rapid arrival to hospital after stroke is critical for patients to receive effective treatment. Here, the authors examine how stroke patients’ social network structure relates to stroke arrival time, and show that small and close-knit personal networks predict delayed arrival.

Time to Loading Dose and Risk of Recurrent Events in the SOCRATES Trial

Background and Purpose- Recurrent ischemia risk is high in the acute period after cerebral ischemic events. Effects of antiplatelet agents may vary by time to loading dose (TLD). We explored the risk of recurrent events and safety and efficacy of ticagrelor versus aspirin in relation to TLD. Methods- We randomized 13 199 patients with noncardioembolic, nonsevere ischemic stroke, or high-risk transient ischemic attack to 90-day ticagrelor or aspirin treatment within 24 hours of symptom onset. For this analysis, 13 126 patients were categorized by TLD as <12 hours or ≥12 hours from start of index event. The primary end point was the composite of stroke, myocardial infarction, or death within 90 days. Major bleeding was the primary safety end point. Results- TLD was <12 hours in 4403 (33.5%) and ≥12 hours in 8723 (66.5%). The Kaplan-Meier% for the primary end point for all patients with TLD<12 hours was 7.5% versus 6.9% in TLD≥12 hours. Among patients with TLD<12 hours, the primary end point occurred in 147/2196 (6.8%) randomized to ticagrelor and in 184/2207 (8.3%) randomized to aspirin (hazard ratio, 0.79; 95% CI, 0.64-0.98; P=0.036). Among patients with TLD≥12 hours, the primary end point occurred in 6.7% patients randomized to ticagrelor versus 7.0% to aspirin (hazard ratio, 0.95; 95% CI, 0.81-1.12; P=0.55). There was no significant treatment-by-TLD interaction. Major bleeding rates were comparable on ticagrelor and aspirin, regardless of TLD. Conclusions- The event rate for the primary end point was higher in patients treated early (<12 hours) versus later (≥12 hours). In this exploratory analysis, a larger numerical difference in the primary end point was observed among patients on ticagrelor than on aspirin when TLD was <12 hours compared with ≥12 hours, although the interaction terms for treatment-by-TLD were not significant. For major bleeding, no relation to TLD was observed. Clinical Trial Registration- URL: https://www.clinicaltrials.gov . Unique identifier: NCT01994720.

The JAGUAR Score Predicts 1-Month Disability/Death in Ischemic Stroke Patient Ineligible for Recanalization Therapy

BACKGROUND AND PURPOSE

Most available scoring system to predict outcome after acute ischemic stroke (AIS) were established in Western countries. We aimed to develop a simple prediction score of 1-month severe disability/death after onset in AIS patients ineligible for recanalization therapy based on readily and widely obtainable on-admission clinical, laboratory and radiological examinations in Asian developing countries.

METHODS

Using the Shiga Stroke Registry, a large population-based registry in Japan, multivariable logistic regression analysis was conducted in 1617 AIS patients ineligible for recanalization therapy to yield ß-coefficients of significant predictors of 1-month modified Rankin Scale score of 5-6, which were then multiplied by a specific constant and rounded to nearest integer to develop 0-10 points system. Model discrimination and calibration were evaluated in the original and bootstrapped population.

RESULTS

Japan Coma Scale score (J), age (A), random glucose (G), untimely onset-to-arrival time (U), atrial fibrillation (A), and preadmission dependency status according to the modified Rankin Scale score (R), were recognized as independent predictors of outcome. Each of their β-coefficients was multiplied by 1.3 creating the JAGUAR score. Its area under the curve (95% confidence interval) was .901 (.880- .922) and .901 (.900- .901) in the original and bootstrapped population, respectively. It was found to have good calibration in both study population (P = .27).

CONCLUSIONS

The JAGUAR score can be an important prediction tool of severe disability/death in AIS patients ineligible for recanalization therapy that can be applied on admission with no complicated calculation and multimodal neuroimaging necessary, thus suitable for Asian developing countries.