Abstract P268: Community Wide Real-Time Stroke Code Capture to Better Identify Changes in Health Care Utilization During Covid-19

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Amelia Kenner Brininger ◽  
Lindsay L Olson-Mack ◽  
Lorraine Chmielowski ◽  
Kristi L Koenig ◽  
Mary A Kalafut ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Real Time ◽  
Healthcare Utilization ◽  
San Diego ◽  
San Diego County ◽  
Discharge Data ◽  
Stroke Incidence ◽  
Number Of Patients ◽  
Stroke Center ◽  
The Impact

Introduction: Many healthcare systems reported a decline in stroke admissions in the early months of the COVID-19 pandemic. We used real-time hospital admission data from Stroke Receiving Centers (SRCs) across San Diego County to quantify changes in stroke patients accessing healthcare with the onset of the COVID-19 pandemic. Rather than waiting for months-delayed discharge data, real-time stroke code data was used to understand the impact on healthcare utilization which may better inform mitigation strategies to encourage accessing care for acute stroke. Methods: We analyzed the total number of patients presenting to any of the 18 San Diego County SRCs for which a stroke code was activated between January 1, 2019 and July 31, 2020; and separated the times into: pre-pandemic (PP) as January 2019 thru February 2020, early-pandemic (EP) as March and April 2020, and mid-pandemic (MP) as May-July 2020. Patients arriving via emergency medical services or private transport were included. A public messaging campaign regarding the safety of accessing care for acute stroke started in early May 2020. Results: A total of 14,028 stroke codes were initiated between January 2019 and July 2020. An average of 43.2 stroke codes were activated per stroke center per month (range=39.6 to 46.7 activations per stroke center per month) during PP, 30.6 during EP and 37.7 during MP (p=.019). Overall, 30% fewer stroke code activations occurred during EP compared to the same months in the PP (p=.012). Mid-pandemic, there were 14.6% fewer stroke code activations compared to the same months pre-pandemic (p=.095). Conclusion: Stroke code activations decreased by 30% across San Diego County SRCs in the EP period compared to the previous year. It is unclear if this is primarily due to decreased healthcare utilization at the start of the COVID-19 pandemic or if there were changes in stroke incidence. MP showed stroke code activations increased compared to EP. This may be partially due to the public messaging campaign initiated after an analysis of PP to EP stroke code activations. We will continue to analyze stroke code data to better understand the impact of public messaging campaigns and determine when activations have returned to PP levels.

Abstract P651: Should I Stay or Go: Seeking Stroke Care During Covid-19

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Kathyrn J Libby ◽  
Linda Couts ◽  
Paige Schoenheit-Scott ◽  
Lindsay L Olson-Mack ◽  
Amelia Kenner Brininger ◽  
...  
Keyword(s):  
San Diego ◽  
Arrival Time ◽  
Stroke Care ◽  
Time Frame ◽  
San Diego County ◽  
Stroke Patients ◽  
Discharge Data ◽  
Hospital Arrival ◽  
The Impact ◽  
At Home

Introduction: On March 16, 2020 San Diego County implemented a stay at home order in response to COVID-19 pandemic; followed by the state of California instituting a shelter in place order. Locally, San Diego County’s stroke receiving centers (SRC) determined a 30% drop in stroke code activations between March-April 2020 compared to the same time in 2019 indicating a possible delay in seeking care. Utilizing discharge data, we sought to understand the impact of the stay at home order on the timeliness of seeking care. Hypothesis: We hypothesized an increase in last known normal (LKN) to hospital arrival time and a decrease in alteplase (tPA) and endovascular therapy (EVT) treatment rates between March 16-June 30 2020 compared to March 16-June 30 2019. Methods: AIS patients presenting to one of 16 SRC in San Diego County between March 16-June 30 in 2019 and 2020, discharged from the hospital or treated in the ED and transferred to another facility were included. Patients arriving as transfers from another facility were excluded. Results: In 2019, of 1,342 AIS cases LKN time was recorded for 85.6% of cases; of 1,092 cases in 2020 86.4% of cases had a LKN. Average LKN to arrival was 20.5 hours in 2019 and 32.4 hours in 2020 (p = .001, 95% CI [4.79, 18.93]). In 2019, 209 (15.6%) received tPA and 91 (6.8%) had EVT. In 2020, 144 (13.2%) received tPA and 75 (6.9%) had EVT. Odds that a case in 2019 received tPA was 1.21 times that of cases in 2020 (p=.09). Odds that a case in 2019 had EVT was .99 times that of cases in 2020 (p=.93). Conclusion: Ischemic stroke patients arriving between March 16-June 30, 2020 had a longer LKN to arrival time compared to the same time frame in 2019. The longer time to arrival may have been due to patients waiting longer to seek care, as anecdotal information from patients eluded to. The odds of receiving tPA or EVT treatment in 2020 compared to 2019 were not statistically significant. This may be due to patients experiencing acute symptoms accessing healthcare at the same rate in 2020 as 2019. Analysis of percent of patients arriving within 4 hours of LKN and average NIHSS are important next steps to determine this. Regardless, during a time of community crisis, it is important to broadcast community messaging focusing on the importance of seeking emergency care for stroke-like symptoms.

scholarly journals Impact of National Lockdown on the Hyperacute Stroke Care and Rapid Transient Ischaemic Attack Outpatient Service in a Comprehensive Tertiary Stroke Centre During the COVID-19 Pandemic

2021 ◽  
Vol 12 ◽  
Author(s):  
Lucio D'Anna ◽  
Maddison Brown ◽  
Sikdar Oishi ◽  
Natalya Ellis ◽  
Zoe Brown ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Outpatient Service ◽  
Stroke Care ◽  
Reperfusion Therapy ◽  
Long Term Effects ◽  
Number Of Patients ◽  
Stroke Center ◽  
Ischemic Attack ◽  
The Uk ◽  
The Impact

Background: The COVID-19 pandemic is having major implications for stroke services worldwide. We aimed to study the impact of the national lockdown period during the COVID-19 outbreak on stroke and transient ischemic attack (TIA) care in London, UK.Methods: We retrospectively analyzed data from a quality improvement registry of consecutive patients presenting with acute ischemic stroke and TIA to the Stroke Department, Imperial College Health Care Trust London during the national lockdown period (between March 23rd and 30th June 2020). As controls, we evaluated the clinical reports and stroke quality metrics of patients presenting with stroke or TIA in the same period of 2019.Results: Between March 23rd and 30th June 2020, we documented a fall in the number of stroke admissions by 31.33% and of TIA outpatient referrals by 24.44% compared to the same period in 2019. During the lockdown, we observed a significant increase in symptom onset-to-door time in patients presenting with stroke (median = 240 vs. 160 min, p = 0.020) and TIA (median = 3 vs. 0 days, p = 0.002) and a significant reduction in the total number of patients thrombolysed [27 (11.49%) vs. 46 (16.25%, p = 0.030)]. Patients in the 2020 cohort presented with a lower median pre-stroke mRS (p = 0.015), but an increased NIHSS (p = 0.002). We registered a marked decrease in mimic diagnoses compared to the same period of 2019. Statistically significant differences were found between the COVID and pre-COVID cohorts in the time from onset to door (median 99 vs. 88 min, p = 0.026) and from onset to needle (median 148 vs. 126 min, p = 0.036) for thrombolysis whilst we did not observe any significant delay to reperfusion therapies (door-to-needle and door-to-groin puncture time).Conclusions: National lockdown in the UK due to the COVID-19 pandemic was associated with a significant decrease in acute stroke admission and TIA evaluations at our stroke center. Moreover, a lower proportion of acute stroke patients in the pandemic cohort benefited from reperfusion therapy. Further research is needed to evaluate the long-term effects of the pandemic on stroke care.

Abstract 42: Epidemiological Surveillance of the Impact of the Covid-19 Pandemic on Stroke Care Using Artificial Intelligence

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Raul Nogueira ◽  
Jason Davies ◽  
Rishi Gupta ◽  
Ameer E Hassan ◽  
Thomas G Devlin ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Acute Stroke ◽  
Real Time ◽  
Systems Of Care ◽  
Stroke Care ◽  
Epidemiological Surveillance ◽  
Day Hospital ◽  
Stroke Patients ◽  
Number Of Patients ◽  
The Impact

Background: The degree to which the COVID-19 pandemic has affected systems of care, in particular those for time-sensitive conditions such as stroke, remains poorly quantified. We sought to evaluate the impact of COVID-19 in the overall screening for acute stroke utilizing a commercial clinical artificial intelligence (AI) platform. Methods: Data were derived from the Viz Platform, an AI application designed to optimize the workflow of acute stroke patients. Neuroimaging data on suspected stroke patients across 97 hospitals in 20 US states were collected in real-time and retrospectively analyzed with the number of patients undergoing imaging screening serving as a surrogate for the amount of stroke care. The main outcome measures were the number of CTA, CTP, Large vessel occlusions (LVOs) (defined according to the automated software detection), and severe strokes on CTP (defined as those with hypoperfusion volumes>70mL) normalized as number of patients per day per hospital. Data from the pre-pandemic (November 4, 2019 to February 29, 2020) and pandemic (March 1 to May 10, 2020) periods were compared at national and state levels. Correlations were made between the inter-period changes in imaging screening, stroke hospitalizations, and thrombectomy procedures using state-specific sampling. Results: A total of 23,223 patients were included. The incidence of LVO on CTA and severe strokes on CTP were 11.2%(n=2,602) and 14.7%(n=1,229/8,328), respectively. There were significant declines in the overall number of CTAs (-22.8%;1.39 to 1.07 patients/day/hospital,p<0.001) and CTPs (-26.1%;0.50 to 0.37 patients/day/hospital,p<0.001) as well as in the incidence of LVO (-17.1%;0.15 to 0.13 patients/day/hospital,p<0.001) and severe strokes on CTP (-16.7%;0.12 to 0.10 patients/day/hospital, p<0.005). The sampled cohort showed similar declines in the rates of LVOs versus thrombectomy (18.8%vs.19.5%, p=0.9) and CSC hospitalizations (18.8%vs.11.0%, p=0.4). Conclusions: A significant decline in stroke imaging screening has occurred during the COVID-19 pandemic. This underscores the broader application of AI neuroimaging platforms for the real-time monitoring of stroke systems of care.

scholarly journals Impact of COVID-19 Pandemic on the Incidence, Prehospital Evaluation, and Presentation of Ischemic Stroke at a Nonurban Comprehensive Stroke Center

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Cesar Velasco ◽  
Brandon Wattai ◽  
Scott Buchle ◽  
Alicia Richardson ◽  
Varun Padmanaban ◽  
...  
Keyword(s):  
Urban Areas ◽  
Stroke Care ◽  
Final Diagnosis ◽  
Medical Attention ◽  
Presenting Symptoms ◽  
Number Of Patients ◽  
Community Transmission ◽  
Comprehensive Stroke Center ◽  
Stroke Center ◽  
The Impact

Introduction. Many reports have described a decrease in the numbers of patients seeking medical attention for typical emergencies during the COVID-19 pandemic. These reports primarily relate to urban areas with widespread community transmission. The impact of COVID-19 on nonurban areas with minimal community transmission is less well understood. Methods. Using a prospectively maintained prehospital quality improvement database, we reviewed our hospital EMS transports with a diagnosis of stroke from January to April 2019 (baseline) and January to April 2020 (pandemic). We compared the volume of patients, transport/presentation times, severity of presenting symptoms, and final diagnosis. Results. In January, February, March, and April 2019, 10, 11, 17, and 19 patients, respectively, were transported in comparison to 19, 14, 10, and 8 during the same months in 2020. From January through April 2019, there was a 53% increase in transports, compared to a 42% decrease during the same months in 2020, constituting significantly different trend-line slopes (3.30; 95% CI 0.48–6.12 versus -3.70; 95% CI -5.76–-1.64, p = 0.001 ). Patient demographics, comorbidities, and symptom severity were mostly similar over the two time periods, and the number of patients with a final diagnosis of stroke was also similar. However, the median interval from EMS dispatch to ED arrival for patients with a final diagnosis of stroke was significantly longer in January to April 2020 ( 50 ± 11.7   min ) compared to the same time period in 2019 ( 42 ± 8.2   min , p = 0.01 ). Discussion/Conclusion. Our data indicate a decrease in patient transport volumes and longer intervals to EMS activation for suspected stroke care. These results suggest that even in a nonurban location without widespread community transmission, patients may be delaying or avoiding care for severe illnesses such as stroke. Clinicians and public health officials should not ignore the potential impact of pandemic-like illnesses even in areas of relatively low disease prevalence.

scholarly journals Epidemiological Surveillance of the Impact of the COVID-19 Pandemic on Stroke Care Using Artificial Intelligence

Stroke ◽  
2021 ◽  
Author(s):  
Raul G. Nogueira ◽  
Jason M. Davies ◽  
Rishi Gupta ◽  
Ameer E. Hassan ◽  
Thomas Devlin ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Acute Stroke ◽  
Systems Of Care ◽  
Ct Perfusion ◽  
Stroke Care ◽  
Large Vessel ◽  
Large Vessel Occlusion ◽  
Vessel Occlusion ◽  
Number Of Patients ◽  
The Impact

Background and Purpose: The degree to which the coronavirus disease 2019 (COVID-19) pandemic has affected systems of care, in particular, those for time-sensitive conditions such as stroke, remains poorly quantified. We sought to evaluate the impact of COVID-19 in the overall screening for acute stroke utilizing a commercial clinical artificial intelligence platform. Methods: Data were derived from the Viz Platform, an artificial intelligence application designed to optimize the workflow of patients with acute stroke. Neuroimaging data on suspected patients with stroke across 97 hospitals in 20 US states were collected in real time and retrospectively analyzed with the number of patients undergoing imaging screening serving as a surrogate for the amount of stroke care. The main outcome measures were the number of computed tomography (CT) angiography, CT perfusion, large vessel occlusions (defined according to the automated software detection), and severe strokes on CT perfusion (defined as those with hypoperfusion volumes >70 mL) normalized as number of patients per day per hospital. Data from the prepandemic (November 4, 2019 to February 29, 2020) and pandemic (March 1 to May 10, 2020) periods were compared at national and state levels. Correlations were made between the inter-period changes in imaging screening, stroke hospitalizations, and thrombectomy procedures using state-specific sampling. Results: A total of 23 223 patients were included. The incidence of large vessel occlusion on CT angiography and severe strokes on CT perfusion were 11.2% (n=2602) and 14.7% (n=1229/8328), respectively. There were significant declines in the overall number of CT angiographies (−22.8%; 1.39–1.07 patients/day per hospital, P <0.001) and CT perfusion (−26.1%; 0.50–0.37 patients/day per hospital, P <0.001) as well as in the incidence of large vessel occlusion (−17.1%; 0.15–0.13 patients/day per hospital, P <0.001) and severe strokes on CT perfusion (−16.7%; 0.12–0.10 patients/day per hospital, P <0.005). The sampled cohort showed similar declines in the rates of large vessel occlusions versus thrombectomy (18.8% versus 19.5%, P =0.9) and comprehensive stroke center hospitalizations (18.8% versus 11.0%, P =0.4). Conclusions: A significant decline in stroke imaging screening has occurred during the COVID-19 pandemic. This analysis underscores the broader application of artificial intelligence neuroimaging platforms for the real-time monitoring of stroke systems of care.

Abstract W P287: Does Comprehensive Stroke Certification Demonstrate a Significant Effect on Volume and Quality of Care?

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Laurie Paletz ◽  
Shlee Song ◽  
Nili Steiner ◽  
Betty Robertson ◽  
Nicole Wolber ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Quality Of Care ◽  
Acute Stroke ◽  
Acute Ischemic Stroke ◽  
Turnaround Time ◽  
Joint Commission ◽  
Stroke Patients ◽  
Number Of Patients ◽  
The Impact

Introduction/Background information: At the onset of acute stroke symptoms, speed, capability, safety and skill are essential-lost minutes can be the difference between full recoveries, poor outcome, or even death. The Joint Commission's Certificate of Distinction for Comprehensive Stroke Centers recognizes centers that make exceptional efforts to foster better outcomes for stroke care. While many hospitals have been surveyed, Cedars Sinai was the 5 th hospital in the nation to receive this certification. Researchable question: Does Comprehensive stroke certification (CSC) demonstrate a significant effect on volume and quality of care? Methods: We assembled a cross-functional, multidisciplinary expert team representing all departments and skill sets involved in treating stroke patients. We carefully screened eligible patients with acute ischemic stroke We assessed the number of patients treated at Cedars-Sinai with IV-T-pa t 6 months before and then 6 months after CSC and the quality of their care including medical treatment and door to needle time. Results: In the 6 months prior to Joint Commissions Stroke Certification we treated 20 of 395acute stroke patients with t-PA with an average CT turnaround time of 31±19minutes and an average Door to needle time (DTNT) of 68±32minutes. In the 6 months since Joint Commission Stroke Certification we have increased the number of acute stroke patients treated by almost double. There were 37 out of 489(P=0.02, Chi Square) patients treated with IV t-PA with an average CT turnaround time of 22±7minutes (p=0.08, t-test, compared to pre-CSC) and an average DTNT of 61± 23minutes (not different than pre-CSC). Conclusion: We conclude that Joint Commission Certification for stroke was associated with an increased rate of treatment with IV rt-PA in acute ischemic stroke patients. We were not able to document an effect on quality of care. Further studies of the impact of CSC certification are warranted.

Abstract W MP75: Increase Usage of Acute Stroke Thrombolysis Leads to Better Outcome: The Emergency Medical Service-Discharge Diagnosis Data Linkage Analysis over Three Years

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Amanda Cotter ◽  
Khosrow Heidari ◽  
Michelle Androulakis ◽  
Andrea Griffin ◽  
Karen Cartrett ◽  
...  
Keyword(s):  
South Carolina ◽  
Ischemic Stroke ◽  
Acute Stroke ◽  
Real Time ◽  
Hospital Discharge ◽  
Data Linkage ◽  
Discharge Diagnosis ◽  
Number Of Patients ◽  
Hospital Discharge Records ◽  
Stroke Thrombolysis

Background and Objective: South Carolina is located in the “buckle” of the stoke belt. Use of the emergency medical services (EMS), intravenous tissue plasminogen activator (IV t-PA) in acute stroke and its correlates, including outcomes have not been trended over time. To study the annual trends in the above acute stroke care parameters we linked the EMS database with the statewide hospital discharge records stored at South Carolina Department of Health and Environmental Control (SC DHEC). Methods: The ongoing statewide EMS database linkage with the hospital discharge records stored at SC DHEC, allow us to track EMS and acute stroke thrombolysis in real-time. Patients with a discharge diagnosis of ischemic stroke were included in the analysis. Patients transported via EMS were compared with patients not transported by EMS. Variables considered included patient demographics, stroke center status of the hospital, telemedicine usage and treatment with IV t-PA for the calendar years of 2010-2012. Results: In the calendar years of 2010-2012, 10,377; 10,532 and 10,900 hospitalized patients in SC were assigned a primary discharge diagnosis of ischemic stroke respectively. Of these, the number of patients transported by EMS that received IV t-PA (7.1%, 9.5% and 10.2%, in the years 2010-12; χ2 trend =15.3, p < 0.0001) shows a significant increasing linear trend over the number of patients that were not transported by EMS that received IV t-PA (2.5%, 3.6% and 3.7%, in the years 2010-12). Over the three years, patients that are treated with IV t-PA were more likely to be discharged home (39%, 42% and 49% in the years 2010-12 ) and less likely to be discharged to a healthcare institution or expire (61%, 58% and 51% in the years 2010-12; χ2 trend=9.3, p =0.002). Conclusion: Transportation by EMS increased the likelihood of receiving IV t-PA. Over three years, IV t-PA usage led to better outcome including increasing discharge to home, decreasing discharge to healthcare institution and death. The real-time data linkage methodology may allow us in future to test the impact of statewide interventions geared to promote the usage of EMS and IV t-PA.

Controlling Juvenile Delinquency: An Evaluation of an Interagency Strategy

1990 ◽  
Vol 36 (2) ◽  
pp. 257-275 ◽  
Author(s):  
Susan Pennell ◽  
Christine Curtis ◽  
Dennis C. Scheck
Keyword(s):  
Early Intervention ◽  
Juvenile Delinquency ◽  
San Diego ◽  
Delinquent Behavior ◽  
Juvenile Crime ◽  
San Diego County ◽  
Graduated Sanctions ◽  
Time Period ◽  
The Impact ◽  
Extended Time Period

This article presents the findings of a two-year assessment of the impact of the San Diego County Interagency Agreement upon delinquent behavior. The goals of this systemwide strategy are to reduce juvenile delinquency through consistent, early intervention and graduated sanctions, based on the nature of the arrest offense and prior offense history, and to hold youth accountable for their acts. The findings suggest that a strategy such as the Interagency Agreement may be successful in reducing juvenile crime if implemented carefully over an extended time period. Based upon the results of this evaluation, recommendations for other jurisdictions are offered.

Abstract TP247: Real-time Videomonitoring Markedly Shortens Time Delays For Reperfusion In Acute Stroke

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
ESTELA SANJUAN ◽  
MARTA RUBIERA ◽  
MARC RIBO ◽  
JULIA A KALLAS ◽  
PILAR MELER ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Real Time ◽  
Median Time ◽  
Time Delays ◽  
Evaluation Process ◽  
Reperfusion Therapy ◽  
Stroke Severity ◽  
Neurological Evaluation ◽  
Evaluation Time ◽  
The Impact

Introduction: Shortening door-to-needle time is one of the major goals of reperfusion therapy for acute stroke. Real-time videomonitoring provides 24/7 expert support and may potentially accelerate actions taken and improve the decision-making in candidates for reperfusion. We aimed to evaluate the impact of real-time videomonitoring on shortening in-hospital time delays for reperfusion therapy and on the quality of care in acute stroke patients. Methods: We evaluated consecutive patients, candidates for reperfusion who underwent stroke code activation. All were admitted to the ER and emergently evaluated by a Stroke Neurologist either in a designated stroke box with videomonitoring (VM) or in a conventional box without VM (NonVM). In all patients, time delays were prospectively collected in specific worksheets. Real-time VM was conducted by experienced stroke researchers who interacted and encouraged speediness of the evaluation process as well as timed and stored images at pre-specified time-points. Results: A total of 100 patients were evaluated. 50 on each arm. There were no significant differences between groups in baseline characteristics: Age (VM 70.7 ±16 vs. 71.1±12 in NonVM patients), gender (52% and 50% of men), median time from symptoms onset to admission (76 vs. 73min) and baseline stroke severity NIHSS score (6 vs. 7). In the VM group the median time for blood sampling was 5minutes, and duration of TCD exam 7minutes. Overall median time in box was significantly shorter in VM 13±9min compared to NonVM 20±12 min, p=0.045. VM significantly reduces the time to fist neurological evaluation <5min (VM 98% vs. NonVM 88%), p=0.038. Door-to-CT time was <25minutes in VM (50%) compared to NonVM (42%), p=0,052. 48% of VM and 44% of NonVM patients received reperfusion therapy. The goal of door-to-needle <40min was achieved in 77.8% of VM compared to only 52% of NonVM patients (p=0.034). Conclusion: Real-time VM markedly reduces in-hospital delays for reperfusion therapy by shortening time to neurological evaluation, time to CT, and door-to-needle times. Larger studies are needed to evaluate the yield and impact of real-time VM on stroke outcome.

Abstract TP250: A Substantial Rate of Neurological and Non-Neurological Stroke Mimics Are Transported by Emergency Medical Services for Acute Stroke Evaluation

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Joel N Briard ◽  
Rahel T Zewude ◽  
Mahesh Kate ◽  
Ken Butcher ◽  
Laura C Gioia
Keyword(s):  
Acute Stroke ◽  
Emergency Medical Services ◽  
Final Diagnosis ◽  
Medical Services ◽  
Cross Sectional ◽  
Stroke Mimics ◽  
Emergency Medical ◽  
Number Of Patients ◽  
Suspected Stroke ◽  
The Impact

Introduction: The impact of prehospital triage of stroke mimics to designated stroke centers may be considerable, yet little information exists regarding stroke mimics in the prehospital setting. We aimed to describe the rate and clinical characteristics of neurological and non-neurological stroke mimics transported by Emergency Medical Services (EMS) to the Emergency Department (ED) for acute stroke evaluation. Methods: A retrospective, cross-sectional, observational analysis of a centralized EMS database of patients transported by EMS to the ED for suspected stroke during an 18-month period. Hospital charts and neuroimaging were utilized to determine the final diagnosis (acute stroke, stroke mimic, as well as specific underlying diagnoses). Results: A total of 960 patients were transported by EMS to the ED with suspected stroke, among whom 405 (42.2%) were stroke mimics (mean age ± SD: 66.9 ± 17.1 years; 54% male). Stroke mimics were neurological in origin in 223 (55.1%) patients and non-neurological in 182 (44.9%). Most common neurological diagnoses were seizures (n=44,19.7%), migraines (n=42,18.8%) and peripheral neuropathies (n=25, 11.2%). Most common non-neurological mimics included cardiovascular (15.9%), psychiatric (11.9%), and infectious (8.9%) diagnoses. Neurological mimics were younger (64.1 ± 17.3 years) than non-neurological mimics (70.5 ± 16.1 years, p<0.001). Median prehospital Glasgow Coma Scale scores were similar between groups (15 vs. 15, p=0.26). Mean prehospital systolic blood pressure was slightly higher in neurological (147.8±24.2 mmHg) than non-neurological mimics (141.2±26.2 mmHg, p=0.01). Conclusions: Stroke mimics represent a substantial number of patients transported by EMS for suspected stroke, with a considerable amount being non-neurological in origin. Prospective prehospital studies are warranted to help refine prehospital identification of acute stroke and thus minimize the number of stroke mimics transported by EMS for acute stroke evaluation.

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