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

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

Multicenter comparison using two AI stroke CT perfusion software packages for determining thrombectomy eligibility.

BACKGROUND: Stroke AI platforms assess infarcted core and potentially salvageable tissue (penumbra) to identify patients suitable for mechanical thrombectomy. Few studies have compared outputs of these platforms, and none have been multicenter or considered NIHSS or scanner/protocol differences. Our objective was to compare volume estimates and thrombectomy eligibility from two widely used CT perfusion (CTP) packages, Viz.ai and RAPID.AI, in a large multicenter cohort. METHODS: We analyzed CTP data of acute stroke patients with large vessel occlusion (LVO) from four institutions. Core and penumbra volumes were estimated by each software and DEFUSE-3 thrombectomy eligibility assessed. Results between software packages were compared and categorized by NIHSS score, scanner manufacturer/model, and institution. RESULTS: Primary analysis of 362 cases found statistically significant differences in both software's volume estimations, with subgroup analysis showing these differences were driven by results from a single scanner model, the Canon Aquilion One. Viz.ai provided larger estimates with mean differences of 8cc and 18cc for core and penumbra, respectively (p<0.001). NIHSS subgroup analysis also showed systematically larger Viz.ai volumes (p<0.001). Despite volume differences, a significant difference in thrombectomy eligibility was not found. Additional subgroup analysis showed significant differences in penumbra volume for the Phillips Ingenuity scanner, and thrombectomy eligibility for the Canon Aquilion One scanner at one center (7 % increased eligibility with Viz.ai, p=0.03). CONCLUSIONS: Despite systematic differences in core and penumbra volume estimates between Viz.ai and RAPID.AI, DEFUSE-3 eligibility was not statistically different in primary or NIHSS subgroup analysis. A DEFUSE-3 eligibility difference, however, was seen on one scanner at one institution, suggesting scanner model and local CTP protocols can influence performance and cause discrepancies in thrombectomy eligibility. We thus recommend centers discuss optimal scanning protocols with software vendors and scanner manufacturers to maximize CTP accuracy.

(VISIION-S): Viz.ai Implementation of Stroke augmented Intelligence and communications platform to improve Indicators and Outcomes for a comprehensive stroke center and Network - Sustainability.

OBJECTIVES: As Comprehensive Stroke Centers (CSCs) strive to improve neuro-intervention (NIR) times, process improvements are put in place to streamline workflows. Our prior publication (VISIION) demonstrated improvements in key performance indicators (KPIs). The purpose VISIION-S was to analyze whether those results were sustainable. MATERIALS AND METHODS: Consecutive Direct Arriving LVO (DALVO) and telemedicine transfer LVO (BEMI) stroke NIR cases were assessed, including subgroups of DALVO-OnHours, DALVO-OffHours, BEMI-OnHours, and BEMI-OffHours. We analyzed times for the original 6 months pre (6/10/20-1/15/21) and compared them to a 17 month post-implementation period (1/16/21- 6/25/22) to evaluate for sustainability. Mann-Whitney U was utilized. RESULTS: 150 NIR cases were analyzed pre (n = 47) v. post (n = 103) implementation (DALVO-OnHours 7 v. 20, DALVO-OffHours 10 v. 25, BEMI-OnHours 13 v. 20, BEMI-OffHours 17 v. 38). For Door-to-groin (DTG), improvement was noted for DALVO-OffHours 39%(157 min,96 min;p < 0.001), DALVO-ALL 25%(127 min,95 min;p = 0.006), BEMI-OffHours 46%(45 min,25 min;p = 0.023), and BEMI-ALL 40%(42 min,25 min;p = 0.005). Activation-to-groin (ATG), door-to-device (DTD), and door-to-recanalization (DTR) also showed statistical improvements. For DALVO-OffHours, there were reductions in door to CT (DTC) 80%(26 min,5 min;p < 0.001), ATG 32%(90 min,61 min;p = 0.036), DTG 39%(157 min,96 min;p < 0.001), DTD 31%(178 min,123 min;p = 0.002), and DTR 32%(197 min,135 min;p = 0.003). CONCLUSIONS: We noted sustainability over a 17 month period with sustained reduction in KPIs for even more NIR time interval comparisons. In the greatest opportunity subgroup (DALVO-OffHours), we noted a reduction in all 5 time interval metrics. Our sustainability finding is important to show that process improvements continued even after the immediate period, adding credibility to the results. Models such as this could be useful for other centers striving to optimize workflow and improve times.

How Much Data Is Enough? A Reliable Methodology to Examine Long-Term Wearable Data Acquisition in Gait and Postural Sway.

Wearable sensors facilitate the evaluation of gait and balance impairment in the free-living environment, often with observation periods spanning weeks, months, and even years. Data supporting the minimal duration of sensor wear, which is necessary to capture representative variability in impairment measures, are needed to balance patient burden, data quality, and study cost. Prior investigations have examined the duration required for resolving a variety of movement variables (e.g., gait speed, sit-to-stand tests), but these studies use differing methodologies and have only examined a small subset of potential measures of gait and balance impairment. Notably, postural sway measures have not yet been considered in these analyses. Here, we propose a three-level framework for examining this problem. Difference testing and intra-class correlations (ICC) are used to examine the agreement in features computed from potential wear durations (levels one and two). The association between features and established patient reported outcomes at each wear duration is also considered (level three) for determining the necessary wear duration. Utilizing wearable accelerometer data continuously collected from 22 persons with multiple sclerosis (PwMS) for 6 weeks, this framework suggests that 2 to 3 days of monitoring may be sufficient to capture most of the variability in gait and sway; however, longer periods (e.g., 3 to 6 days) may be needed to establish strong correlations to patient-reported clinical measures. Regression analysis indicates that the required wear duration depends on both the observation frequency and variability of the measure being considered. This approach provides a framework for evaluating wear duration as one aspect of the comprehensive assessment, which is necessary to ensure that wearable sensor-based methods for capturing gait and balance impairment in the free-living environment are fit for purpose.

Medical Undistancing Through Telemedicine: A Model Enabling Rapid Telemedicine Deployment in an Academic Health Center During the COVID-19 Pandemic.

Background: The authors draw upon their experience with a successful, enterprise-level, telemedicine program implementation to present a "How To" paradigm for other academic health centers that wish to rapidly deploy such a program in the setting of the COVID-19 pandemic. The advent of social distancing as essential for decreasing viral transmission has made it challenging to provide medical care. Telemedicine has the potential to medically undistance health care providers while maintaining the quality of care delivered and fulfilling the goal of social distancing. Methods: Rather than simply reporting enterprise telemedicine successes, the authors detail key telemedicine elements essential for rapid deployment of both an ambulatory and inpatient telemedicine solution. Such a deployment requires a multifaceted strategy: (1) determining the appropriateness of telemedicine use, (2) understanding the interface with the electronic health record, (3) knowing the equipment and resources needed, (4) developing a rapid rollout plan, (5) establishing a command center for post go-live support, (6) creating and disseminating reference materials and educational guides, (7) training clinicians, patients, and clinic schedulers, (8) considering billing and credentialing implications, (9) building a robust communications strategy, and (10) measuring key outcomes. Results: Initial results are reported, showing a telemedicine rate increase to 45.8% (58.6% video and telephone) in just the first week of rollout. Over a 5-month period, the enterprise has since conducted over 119,500 ambulatory telemedicine evaluations (a 1,000-fold rate increase from the pre-COVID-19 time period). Conclusion: This article is designed to offer a "How To" potential best practice approach for others wishing to quickly implement a telemedicine program during the COVID-19 pandemic.

Telestroke Across the Continuum of Care: Lessons from the COVID-19 Pandemic.

While use of telemedicine to guide emergent treatment of ischemic stroke is well established, the COVID-19 pandemic motivated the rapid expansion of care via telemedicine to provide consistent care while reducing patient and provider exposure and preserving personal protective equipment. Temporary changes in re-imbursement, inclusion of home office and patient home environments, and increased access to telehealth technologies by patients, health care staff and health care facilities were key to provide an environment for creative and consistent high-quality stroke care. The continuum of care via telestroke has broadened to include prehospital, inter-facility and intra-facility hospital-based services, stroke telerehabilitation, and ambulatory telestroke. However, disparities in technology access remain a challenge. Preservation of reimbursement and the reduction of regulatory burden that was initiated during the public health emergency will be necessary to maintain expanded patient access to the full complement of telestroke services. Here we outline many of these initiatives and discuss potential opportunities for optimal use of technology in stroke care through and beyond the pandemic.

Encephalopathy only stroke codes (EoSC) do not result in rt-PA treatments.

BACKGROUND: Isolated mental status changes as a presenting sign (EoSC+), are not uncommon stroke code triggers. As stroke alerts, they still require the same intensive resources be applied. We previously showed that EoSC+ strokes (EoSC+ Stroke+) account for 0.1-0.2% of all codes. Whether these result in thrombolytic treatment (rt-PA), and the characteristics/ risk factor profiles of EoSC+ Stroke+ patients, have not been reported. METHODS: Retrospective analysis of stroke codes from an IRB approved registry, from 2004 to 2018, was performed. EoSC+ was defined as a NIHSS>0 for Q1a, 1b, or 1c with remaining elements scored 0. Characteristics and risk factors were compared for EoSC+, EoSC-, EoSC+ Stroke+, and rt-PA (EoSC+ Stroke+TPA+) patients. RESULTS: EoSC+ occurred in 55/2982 (1.84%) of all stroke codes. EoSC+ Stroke+ occurred in 8/55 (14.5%) of EoSC+ codes and 8/2982 (0.27%) of all stroke codes. 6/8 (75%) of EoSC+ Stroke+ scored NIHSS=1. When comparing EoSC++versus EoSC-, Hispanic ethnicity (p=0.009), hypertension (p=0.02), and history of stroke/TIA (p=0.002) were less common in EoSC+. No demographic/risk factor differences were noted for EoSC+ Stroke+ vs. EoSC+ Stroke-. No cases of rt-PA eligibility/treatment were noted. In EoSC+ Stroke+ analysis, imaging positive stroke/intracranial hemorrhage was noted on only 3 cases (3/2982=0.10% of all stroke codes) and none were posterior stroke. CONCLUSIONS: EoSC+ rarely results in stroke/TIA (0.27%) or stroke (0.10%), and in our analysis never (0%) resulted in rt-PA. Sub-analysis did not show missed rt-PA or posterior strokes. Understanding characteristics, and knowing that EoSC+ Stroke+ patients are unlikely to receive rt-PA, may help triage stroke resources.

Characteristics and Outcomes of Patients who Refuse Intravenous Thrombolysis for Acute Ischemic Stroke - The San Diego Experience.

PURPOSE: Intravenous Thrombolysis (IV rt-PA) is administered in <10% of ischemic stroke patients. In rare cases, patients or caregivers refuse IV rt-PA treatment even when recommended by stroke practitioners. We sought to assess the characteristics and outcomes of patients who refuse IV rt-PA for acute ischemic stroke, and to compare outcomes between those who were treated with IV rt-PA and those who refused. METHODS: We examined data from the prospectively collected, IRB approved UC San Diego Stroke Registry who presented as a "stroke code" from July 2004 to July 2019 at two academic facilities and five community hospitals. Patients were included if they presented within 4.5 hours of symptom onset or last seen normal, had a "stroke code" alert activated, and were either treated with IV rt-PA or the reason for exclusion was patient/family refusal. Patients were considered "refusers" if IV rt-PA was recommended by the provider during the stroke code and the patient and/or legally authorized representative declined treatment. Baseline demographics, baseline National Institutes of Health Stroke Scale (NIHSS), treatment times and 90-day Modified Rankin Scale (mRS) were collected. Patients who refused IV rt-PA were compared to those that were treated with IV rt-PA. Data was examined for frequencies and distribution. Chi squared was used to evaluate nominal variables. Continuous variables were assessed by Pearson correlation and t test. Kruskal-Wallis or ANOVA were used to evaluate group differences. RESULTS: A total of 1056 patients were included in the analysis. Forty-seven patients (4.5%) refused IV rt-PA. There were no significant socio-demographic differences between patients who were treated with IV rt-PA and those who refused. Compared to patients who were treated with IV rt-PA, patients who refused IV rt-PA had a significantly lower baseline NIHSS (4 vs 9, p < 0.0001) and higher baseline mRS (IQR 0-1.0 vs 0-2.8, p < 0.001). The time from arrival to treatment decision was significantly longer in patients who refused IV rt-PA (group mean 57.9 min vs 48.8 min, p = 0.03). Data for 90-day outcome was available for 556 (55.1%) patients treated with IV rt-PA and 20 (42.5%) patients who refused IV rt-PA. There was no difference in 90-day mRS between groups (p = 0.68). CONCLUSIONS: There is a low rate of IV rt-PA refusal in our registry population which is similar to what previous studies have shown. We found that patients who refuse IV rt-PA have significantly milder deficits and significantly worse pre-morbid disability. We speculate that the longer "arrival to decision" time in the refuse IV rt-PA group is due to longer informed consent discussions. This analysis furthers the body of literature regarding rt-PA refusals.

RAcial Disparities in Ich after IV-tPA and Neurointerventional Treatment (RADIANT).

OBJECTIVE: To study the rate of symptomatic intracerebral hemorrhage (SxICH) and major systemic hemorrhage (MSH) after acute stroke treatments among different ethnicities/races. BACKGROUND: Studies have reported ethnic/racial disparities in intravenous tPA treatment (IV tPA). The adverse outcome of tPA and/or intra-arterial intervention (IA) among different ethnicities/races requires investigation. METHODS: We retrospectively reviewed all patients from an IRB-approved registry between June 2004 and June 2018. Patients who received IV tPA, IA, or both for acute stroke were identified and classified into 2 ethnic groups: non-Hispanics or Hispanics (NH/H) and 4 racial groups: Asian, Black, Other (Native Americans and Pacific Islanders), and White (A/B/O/W). RESULTS: We identified 916 patients that received acute therapy (A/B/O/W: n = 50/104/16/746, H/NH: n = 184/730). For those received IV tPA only (n = 759), IA only (n = 85), and IV tPA+IA (n = 72), the SxICH rate was 4.3%, 4.7%, and 6.9%; the MSH rate was 1.3%, 0%, and 0%, respectively. No significant difference in the rate of SxICH or MSH among different racial or ethnic groups was found after either therapy. Asian race (OR 14.17, P = .01), in association with age, international normalized value (INR), and Partial thromboplastin time (PTT) (OR 1.06, 46.52, and 1.18, P = .020, 0.037, and 0.042, respectively), was predictive of SxICH after IV tPA. There was a significant correlation between age and National Institute of Health Stroke Scale with SxICH (P < .01, P = .02, respectively). Age, INR, and PTT were independent predictors of SxICH after IV tPA (OR 1.06, 46.52, and 1.18, P = .02, 0.04, and 0.04, respectively). CONCLUSIONS: There was no significant difference in the rate of SxICH or MSH after IV tPA, IA, or IV tPA+IA among different racial or ethnic groups. Larger studies are needed to elucidate the race specific causes of SxICH and MSH after acute stroke treatment.

A Stroke Care Model at an Academic, Comprehensive Stroke Center During the 2020 COVID-19 Pandemic.

BACKGROUND AND PURPOSE: The COVID-19 pandemic has required the adaptation of hyperacute stroke care (including stroke code pathways) and hospital stroke management. There remains a need to provide rapid and comprehensive assessment to acute stroke patients while reducing the risk of COVID-19 exposure, protecting healthcare providers, and preserving personal protective equipment (PPE) supplies. While the COVID infection is typically not a primary cerebrovascular condition, the downstream effects of this pandemic force adjustments to stroke care pathways to maintain optimal stroke patient outcomes. METHODS: The University of California San Diego (UCSD) Health System encompasses two academic, Comprehensive Stroke Centers (CSCs). The UCSD Stroke Center reviewed the national COVID-19 crisis and implications on stroke care. All current resources for stroke care were identified and adapted to include COVID-19 screening. The adjusted model focused on comprehensive and rapid acute stroke treatment, reduction of exposure to the healthcare team, and preservation of PPE. AIMS: The adjusted pathways implement telestroke assessments as a specific option for all inpatient and outpatient encounters and accounts for when telemedicine systems are not available or functional. COVID screening is done on all stroke patients. We outline a model of hyperacute stroke evaluation in an adapted stroke code protocol and novel methods of stroke patient management. CONCLUSIONS: The overall goal of the model is to preserve patient access and outcomes while decreasing potential COVID-19 exposure to patients and healthcare providers. This model also serves to reduce the use of vital PPE. It is critical that stroke providers share best practices via academic and vetted social media platforms for rapid dissemination of tools and care models during the COVID-19 crisis.

Brain Emergency Management Initiative for Optimizing Hub-Helicopter Emergency Medical Systems-Spoke Transfer Networks.

OBJECTIVE: Embolectomy is standard for select occlusions up to 24 hours. Transfer patients may have worse outcomes than those originating in embolectomy centers. We developed the Brain Emergency Management Initiative (BEMI) protocol to streamline this transfer process and mimic the urgency that surrounds ST-elevation myocardial infarction cardiac evaluations. METHODS: We conducted an exploratory assessment of consecutive acute telestroke patients transferred for potential intervention in pre-BEMI versus BEMI periods. Times included spoke in, spoke out, hub in, and groin puncture. Outcomes included discharge destination and symptomatic intracranial hemorrhage. RESULTS: Overall, 68 transfers were assessed. There was a higher National Institute of Neurological Disorders and Stroke in BEMI (11 pre-BEMI vs. 20 B.M., P = .01). There were shorter spoke door in to door out (143 vs. 118 minutes, P = .01) and spoke door out to hub door in times (23 minutes pre-BEMI vs. 21 minutes BEMI, P = .001). For embolectomy patients, there was shorter hub door in to reperfusion (83 minutes pre-BEMI vs. 74 minutes BEMI, P = .04) and recombinant tissue plasminogen decision to groin puncture (155 minutes pre-BEMI vs. 130 minutes BEMI; P = .01). There were no symptomatic intracranial hemorrhage or discharge differences. CONCLUSION: In our hub-helicopter emergency medical services-spoke telestroke network, BEMI led to improved evaluation times. BEMI may serve as a model for future rapid stroke transfer pathways.

Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis.

PURPOSE OF REVIEW: Walking impairments are highly prevalent in persons with multiple sclerosis (PwMS) and are associated with reduced quality of life. Walking is traditionally quantified with various measures, including patient self-reports, clinical rating scales, performance measures, and advanced lab-based movement analysis techniques. Yet, the majority of these measures do not fully characterize walking (i.e., gait quality) nor adequately reflect walking in the real world (i.e., community ambulation) and have limited timescale (only measure walking at a single point in time). We discuss the potential of wearable sensors to provide sensitive, objective, and easy-to-use assessment of community ambulation in PwMS. RECENT FINDINGS: Wearable technology has the ability to measure all aspects of gait in PwMS yet is under-studied in comparison with other populations (e.g., older adults). Within the studies focusing on PwMS, half that measure pace collected free-living data, while only one study explored gait variability in free-living conditions. No studies explore gait asymmetry or complexity in free-living conditions. Wearable technology has the ability to provide objective, comprehensive, and sensitive measures of gait in PwMS. Future research should investigate this technology's ability to accurately assess free-living measures of gait quality, specifically gait asymmetry and complexity.

Novel Definition of Stroke "Good Responders" Predicts 90-Day Outcome after Thrombolysis.

INTRODUCTION: Identifying predictors of good response in thrombolytic-treated stroke is important to clinical care, resource allocation, and research design. We developed a simple, novel measure of "Good Responders" to assess if 2 short-term variables could predict 90-day outcomes after thrombolysis in stroke. METHODS: Intravenous thrombolysis-treated stroke cases from June 2004 to June 2018 were analyzed from a stroke registry. Intraarterial treatment cases were excluded. Good responders (GR++) were defined as those with length of stay less than or equal to 3 days and discharge to home. Poor responders (GR- -) had length of stay more than 3 days and discharge other than home. Mixed responders (GR+/-) composed the remainder. Baseline characteristics and predictors of 90-day outcome were assessed. RESULTS: Of 261 patients, there were 101(38.7%) GR++, 67(25.7%) GR- -, and 93(35.6%) GR+/-. For GR++ versus GR- - versus GR+/-, there were differences in mean age (62.7, 71.2, 69.2; P = .0016), and baseline modified Rankin score (mRS) 0-2 (%: 94.9, 74.6, 84.8; P = .008). Younger age, male sex, lower values for systolic BP, glucose, and baseline mRS were associated with good responders. Older age, atrial fibrillation, symptomatic intracerebral hemorrhage, and baseline mRS greater than 2 were associated with poor responders. At 90 days, mortality was reduced in GR++ versus GR- - versus GR+/- (%alive: 92.6, 72, 86; P = .04), and mRS(0-2) (%: 36.8, 0, 11.8; P < .001). CONCLUSIONS: Good responders to thrombolysis are younger and have better baseline functional status. Our novel definition of "Good Responders", using 2 early variables of home disposition and short length of stay, may help predict 90-day post-thrombolytic outcome. Future work should focus on validating this definition.

Isolated Anisocoria as a Presenting Stroke Code Symptom is Unlikely to Result in Alteplase Administration.

BACKGROUND: Acute stroke codes may be activated for anisocoria, but how often these codes lead to a final stroke diagnosis or alteplase treatment is unknown. The purpose of this study was to assess the frequency of anisocoria in stroke codes that ultimately resulted in alteplase administration. METHODS: We retrospectively assessed consecutive alteplase-treated patients from a prospectively-collected stroke registry between February 2015 and July 2018. Based on the stroke code exam, patients were categorized as having isolated anisocoria [A+(only)], anisocoria with other findings [A+(other)], or no anisocoria [A-]. Baseline demographics, stroke severity, alteplase time metrics, and outcomes were also collected. RESULTS: Ninety-six patients received alteplase during the study period. Of the 94 who met inclusion criteria, there were 0 cases of A+(only). There were 9 cases of A+(other) (9.6%). A+(other) exhibited higher baseline National Institutes of Health (NIH) Stroke Scale scores compared to A- (17 versus 7; P = .0003), and no additional differences in demographics or alteplase time metrics. Final stroke diagnosis and other outcome measures were no different between A+(other) and A-. Of the A+ patients without pre-existing anisocoria, 5 of 6 (83%) had posterior circulation events or diffuse subarachnoid hemorrhage. CONCLUSIONS: In this exploratory analysis, zero patients with isolated anisocoria received alteplase treatment. Anisocoria as a part of the neurologic presentation occurred in 10% of alteplase patients, and was strongly associated with a posterior circulation event. Therefore, we conclude that anisocoria has a higher likelihood of leading to alteplase treatment when identified in the presence of other neurologic deficits.

To Treat or Not to Treat?

Background and Purpose- The 2015 updated US Food and Drug Administration alteplase package insert altered several contraindications. We thus explored clinical factors influencing alteplase treatment decisions for patients with minor stroke. Methods- An expert panel selected 7 factors to build a series of survey vignettes: National Institutes of Health Stroke Scale (NIHSS), NIHSS area of primary deficit, baseline functional status, previous ischemic stroke, previous intracerebral hemorrhage, recent anticoagulation, and temporal pattern of symptoms in first hour of care. We used a fractional factorial design (150 vignettes) to provide unconfounded estimates of the effect of all 7 main factors, plus first-order interactions for NIHSS. Surveys were emailed to national organizations of neurologists, emergency physicians, and colleagues. Physicians were randomized to 1 of 10 sets of 15 vignettes, presented randomly. Physicians reported the subjective likelihood of giving alteplase on a 0 to 5 scale; scale categories were anchored to 6 probabilities from 0% to 100%. A conjoint statistical analysis was applied. Results- Responses from 194 US physicians yielded 156 with complete vignette data: 74% male, mean age 46, 80% neurologists. Treatment mean probabilities for individual vignettes ranged from 6% to 95%. Treatment probability increased from 24% for NIHSS score =1 to 41% for NIHSS score =5. The conjoint model accounted for 25% of total observed response variance. In contrast, a model accounting for all possible interactions accounted for 30% variance. Four of the 7 factors accounted jointly for 58% of total relative importance within the conjoint model: previous intracerebral hemorrhage (18%), recent anticoagulation (17%), NIHSS (13%), and previous ischemic stroke (10%). Conclusions- Four main variables jointly account for only a small fraction (<15%) of the total variance related to deciding to treat with intravenous alteplase, reflecting high variability and complexity. Future studies should consider other variables, including physician characteristics.

The Sustained DeyeCOM Sign as a Predictor of Large Vessel Occlusions and Stroke Mimics.

INTRODUCTION: Rapid imaging in acute stroke is critical and often occurs before full examination. Early, reliable examination findings clarify diagnosis and improve treatment times. The DeyeCOM sign has been described as a predictor of ischemic stroke. In this study, we evaluate a sustained DeyeCOM sign on serial computed tomography scans in prediction of large vessel occlusion. METHODS: Between April and June 2017, we retrospectively reviewed 46 patients with acute stroke from the University of California, San Diego Stroke Registry, who had both computed tomography and computed tomography angiography as part of their acute work-up. A DeyeCOM(+) sign was defined as a conjugate gaze deviation on imaging of at least 15°. DeyeCOM(++) was defined as sustained gaze deviation on both scans. RESULTS: Three groups of patients were observed: DeyeCOM(++), nonsustained gaze deviation, and no gaze deviation (DeyeCOM(--)). All patients in the DeyeCOM(++) (8 of 8, 100%) had large vessel occlusion. Of those with nonsustained gaze deviation, 2 of 7 (29%) had large vessel occlusion. No patients in the DeyeCOM(--) (0 of 31, 100%) had large vessel occlusion. The specificity and sensitivity of DeyeCOM(++) for large vessel occlusion was 100% (confidence interval [CI] .90-1.0) and 80% (CI .44-.97). The specificity and sensitivity of DeyeCOM(--) for absence of large vessel occlusion was 100% (CI .69-1.0) and 86% (CI .70-.95). CONCLUSIONS: DeyeCOM(++) had 100% specificity for large vessel occlusion, whereas DeyeCOM(--) had a 100% specificity for absence of large vessel occlusion. Sustained DeyeCOM, whether positive or negative, is a strong predictor of ultimate diagnosis that could lead to quicker endovascular treatment times.

Multiparametric Magnetic Resonance Imaging for Prediction of Parenchymal Hemorrhage in Acute Ischemic Stroke After Reperfusion Therapy.

BACKGROUND AND PURPOSE: Patients with acute ischemic stroke are at increased risk of developing parenchymal hemorrhage (PH), particularly in the setting of reperfusion therapies. We have developed a predictive model to examine the risk of PH using combined magnetic resonance perfusion and diffusion parameters, including cerebral blood volume (CBV), apparent diffusion coefficient, and microvascular permeability (K2). METHODS: Voxel-based values of CBV, K2, and apparent diffusion coefficient from the ischemic core were obtained using pretreatment magnetic resonance imaging data from patients enrolled in the MR RESCUE clinical trial (Mechanical Retrieval and Recanalization of Stroke Clots Using Embolectomy). The associations between PH and extreme values of imaging parameters were assessed in univariate and multivariate analyses. Receiver-operating characteristic curve analysis was performed to determine the optimal parameter(s) and threshold for predicting PH. RESULTS: In 83 patients included in this analysis, 20 developed PH. Univariate analysis showed significantly lower 10th percentile CBV and 10th percentile apparent diffusion coefficient values and significantly higher 90th percentile K2 values within the infarction core of patients with PH. Using classification tree analysis, the 10th percentile CBV at threshold of 0.47 and 90th percentile K2 at threshold of 0.28 resulted in overall predictive accuracy of 88.7%, sensitivity of 90.0%, and specificity of 87.3%, which was superior to any individual or combination of other classifiers. CONCLUSIONS: Our results suggest that combined 10th percentile CBV and 90th percentile K2 is an independent predictor of PH in patients with acute ischemic stroke with diagnostic accuracy superior to individual classifiers alone. This approach may allow risk stratification for patients undergoing reperfusion therapies. CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov. Unique identifier: NCT00389467.

Results of the ICTuS 2 Trial (Intravascular Cooling in the Treatment of Stroke 2).

BACKGROUND AND PURPOSE: Therapeutic hypothermia is a potent neuroprotectant approved for cerebral protection after neonatal hypoxia-ischemia and cardiac arrest. Therapeutic hypothermia for acute ischemic stroke is safe and feasible in pilot trials. We designed a study protocol to provide safer, faster therapeutic hypothermia in stroke patients. METHODS: Safety procedures and 4°C saline infusions for faster cooling were added to the ICTuS trial (Intravascular Cooling in the Treatment of Stroke) protocol. A femoral venous intravascular cooling catheter after intravenous recombinant tissue-type plasminogen activator in eligible patients provided 24 hours cooling followed by a 12-hour rewarm. Serial safety assessments and imaging were performed. The primary end point was 3-month modified Rankin score 0,1. RESULTS: Of the intended 1600 subjects, 120 were enrolled before the study was stopped. Randomly, 63 were to receive hypothermia plus antishivering treatment and 57 normothermia. Compared with previous studies, cooling rates were improved with a cold saline bolus, without fluid overload. The intention-to-treat primary outcome of 90-day modified Rankin Score 0,1 occurred in 33% hypothermia and 38% normothermia subjects, odds ratio (95% confidence interval) of 0.81 (0.36-1.85). Serious adverse events occurred equally. Mortality was 15.9% hypothermia and 8.8% normothermia subjects, odds ratio (95% confidence interval) of 1.95 (0.56-7.79). Pneumonia occurred in 19% hypothermia versus 10.5% in normothermia subjects, odds ratio (95% confidence interval) of 1.99 (0.63-6.98). CONCLUSIONS: Intravascular therapeutic hypothermia was confirmed to be safe and feasible in recombinant tissue-type plasminogen activator-treated acute ischemic stroke patients. Protocol changes designed to reduce pneumonia risk appeared to fail, although the sample is small. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT01123161.

A trial of imaging selection and endovascular treatment for ischemic stroke.

BACKGROUND: Whether brain imaging can identify patients who are most likely to benefit from therapies for acute ischemic stroke and whether endovascular thrombectomy improves clinical outcomes in such patients remains unclear. METHODS: In this study, we randomly assigned patients within 8 hours after the onset of large-vessel, anterior-circulation strokes to undergo mechanical embolectomy (Merci Retriever or Penumbra System) or receive standard care. All patients underwent pretreatment computed tomography or magnetic resonance imaging of the brain. Randomization was stratified according to whether the patient had a favorable penumbral pattern (substantial salvageable tissue and small infarct core) or a nonpenumbral pattern (large core or small or absent penumbra). We assessed outcomes using the 90-day modified Rankin scale, ranging from 0 (no symptoms) to 6 (dead). RESULTS: Among 118 eligible patients, the mean age was 65.5 years, the mean time to enrollment was 5.5 hours, and 58% had a favorable penumbral pattern. Revascularization in the embolectomy group was achieved in 67% of the patients. Ninety-day mortality was 21%, and the rate of symptomatic intracranial hemorrhage was 4%; neither rate differed across groups. Among all patients, mean scores on the modified Rankin scale did not differ between embolectomy and standard care (3.9 vs. 3.9, P=0.99). Embolectomy was not superior to standard care in patients with either a favorable penumbral pattern (mean score, 3.9 vs. 3.4; P=0.23) or a nonpenumbral pattern (mean score, 4.0 vs. 4.4; P=0.32). In the primary analysis of scores on the 90-day modified Rankin scale, there was no interaction between the pretreatment imaging pattern and treatment assignment (P=0.14). CONCLUSIONS: A favorable penumbral pattern on neuroimaging did not identify patients who would differentially benefit from endovascular therapy for acute ischemic stroke, nor was embolectomy shown to be superior to standard care. (Funded by the National Institute of Neurological Disorders and Stroke; MR RESCUE ClinicalTrials.gov number, NCT00389467.).

Visual Determination of Conjugate Eye Deviation on Computed Tomography Scan Predicts Diagnosis of Stroke Code Patients.

BACKGROUND: Head computed tomography (CT) is critical for stroke code evaluations and often happens prior to completion of the neurological exam. Eye deviation on neuroimaging (DeyeCOM sign) has utility for predicting stroke diagnosis and correlates with National Institutes of Health Stroke Scale (NIHSS) gaze score. We further assessed the utility of the DeyeCOM sign, without complex caliper-based eye deviation calculations, but simply with a visual determination method. METHODS: Patients with initial head CT and final diagnosis from an institutional review board-approved consecutive prospective registry of stroke codes at the University of California, San Diego, were included. Five stroke specialists and 1 neuroradiologist reviewed each CT. DeyeCOM+ patients were compared to DeyeCOM- patients (baseline characteristics, diagnosis, and NIHSS gaze score). Kappa statistics compared stroke specialists to neuroradiologist reads, and visual determination to caliper measurement of DeyeCOM sign. RESULTS: Of 181 patients, 46 were DeyeCOM+. Ischemic stroke was more commonly diagnosed in DeyeCOM+ patients compared to other diagnoses (P = .039). DeyeCOM+ patients were more likely to have an NIHSS gaze score of 1 or higher (P = .006). The NIHSS score of DeyeCOM+ stroke versus DeyeCOM- stroke patients was 8.3 ± 6.0 versus 6.7 ± 8.0 (P = .065). Functional outcomes were similar (P = .59). Stroke specialists had excellent agreement with the neuroradiologist (Κ = .89). Visual inspection had excellent agreement with the caliper method (Κ = .88). CONCLUSIONS: Using a time-sensitive visual determination of gaze deviation on imaging was predictive of ischemic stroke diagnosis and presence of NIHSS gaze score, and was consistent with the more complex caliper method. This study furthers the clinical utility of the DeyeCOM sign for predicting ischemic strokes.