Stroke In Emergency Department Research Articles

Machine Learning-Based Prediction of Stroke in Emergency Departments.

Stroke misdiagnosis, associated with poor outcomes, is estimated to occur in 9% of all stroke patients. We hypothesized that machine learning (ML) could assist in the diagnosis of ischemic stroke in emergency departments (EDs). The study was conducted and reported according to the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis guidelines. We performed model development and prospective temporal validation, using data from pre- and post-COVID periods; we also performed a case study on a small cohort of previously misdiagnosed stroke patients. We used structured and unstructured electronic health records (EHRs) of 56,452 patient encounters from 13 hospitals in Pennsylvania, from September 2003 to January 2021. ML pipelines, including natural language processing, were created using pre-event clinical data and provider notes in the EDs. Using pre-event information, our model's area under the receiver operating characteristics curve (AUROC) ranged from 0.88 to 0.92 with a similar range accuracy (0.87-0.90). Using provider notes, we identified five models that reached a balanced performance in terms of AUROC, sensitivity, and specificity. Model AUROC ranged from 0.93 to 0.99. Model sensitivity and specificity reached 0.90 and 0.99, respectively. Four of the top five performing models were based on the post-COVID provider notes; however, no performance difference between models tested on pre- and post-COVID was observed. This study leveraged pre-event and at-encounter level EHR for stroke prediction. The results indicate that available clinical information can be used for building EHR-based stroke prediction models and ED stroke alert systems.

Heat Stroke in Emergency Department: Diagnosis and Management

Background: Heat stroke is a severe health concern with the potential for multi-organ failure, necessitating rapid and effective management. With rising global temperatures, there is increasing concern regarding the vulnerability of populations in high-heat areas, notably in Saudi Arabia, especially during the annual Hajj pilgrimage. Objective: This paper aims to review the epidemiology, evaluation and management techniques of heat stroke, emphasizing the situation during Hajj pilgrimages in Saudi Arabia, and to outline the best practices for emergency management. Methodology: A comprehensive review of literature and studies related to heat stroke, both globally and specific to Saudi Arabia, was undertaken. An in-depth analysis of emergency management, including initial assessment, cooling methods, organ support, medication, and prevention strategies, was conducted. Results: Heat stroke remains a significant cause of emergency department visits, with specific groups, such as men and the elderly, being more susceptible. During the Hajj in 2016, 267 patients were diagnosed with heat-related illnesses, with heatstroke accounting for 29% of these cases. With the threat of global warming, studies indicate a potential tenfold increase in heat stroke risk with a 2°C rise in temperatures. Swift and comprehensive cooling is pivotal for recovery. Management emphasizes rapid recognition, assessment, and varied cooling methods, along with targeted treatments for organ dysfunctions. Prevention strategies play a vital role, given the higher efficacy and practicality over treating organ dysfunctions. Conclusion: Heat stroke is a pressing health challenge, particularly in high-risk environments like Saudi Arabia during the Hajj pilgrimage. While effective emergency management protocols exist, an emphasis on prevention is crucial. It is imperative to incorporate a comprehensive approach to address both the immediate threat and long-term risks of heat stroke, especially with the looming challenge of global warming.

Epidemiology of stroke in emergency departments: a report from the National Emergency Department Information System (NEDIS) of Korea, 2018-2022.

Epidemiology of stroke in emergency departments: a report from the National Emergency Department Information System (NEDIS) of Korea, 2018-2022.

Retracted: Effect of Optimized Emergency Care on Treatment Rate and Prognosis of Elderly Patients with Acute Stroke in Emergency Department: A Systematic Review and Meta-Analysis.

[This retracts the article DOI: 10.1155/2022/5841978.].

Prognostic role of optic nerve sheath diameter in stroke in emergency department, A case control study.

Sonographic measurement of optic nerve sheath diameter (ONSD) can reflect intracranial pressure (ICP) indirectly and determine the neurology intensive care unit (NICU) requirement and mortality in acute ischemic stroke (AIS). To demonstrate the effectiveness of ONSD to determine mortality, morbidity, and NICU requirement on patients with the AIS. The sonographic ONSD measurements were performed on each patient with AIS, over 18 years old. All patients were categorized according to the Oxfordshire Community Stroke Project (OCSP) classification system. MRI images were examined for increased ICP, and the patients were categorized into two groups as increased ICP (i-ICP) and normal ICP. The ONSD results were evaluated in terms of classifications, outcomes, and prognosis of the patients. One hundred and five patients were included and 31 (35.2%) were in the i-ICP group. The median ONSDs were 5.26 mm in the i-ICP group and 4.62 mm in the normal ICP group (P < 0.001). The median ONSDs were 5.13 mm in the NICU group and 4.69 mm in the neurology ward (NW) group (P = 0.001). The total anterior circulation infarction (TACI) subgroup had higher ONSDs than the others (TACI: 5.27 mm; PACI: 4.73 mm; POCI: 4.77 mm; and LACI: 4.64 mm, P < 0.001). The NICU requirements were higher in the TACI subgroup. The median ONSD was 5.42 mm in the deceased group (survived: 4.77 mm, P < 0.001). ONSD may be favorable for predicting the increased ICP and the NICU requirement in OCSP subgroups. Moreover, ONSD can be used to foresee the mortality of AIS.

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

ObjectiveIt seems that the available data on performance of the Rapid Arterial oCclusion Evaluation (RACE) as a prehospital stroke scale for differentiating all AIS cases, not only large vessel occlusion (LVO), from the stroke mimics is lacking. As a result, we intend to evaluate the accuracy of the RACE criteria in diagnosing of AIS in patients transferred to the emergency department (ED).MethodThe present study was a diagnostic accuracy cross-sectional study during 2021 in Iran. The study population consist of all suspected acute ischemic stroke (AIS) patients who transferred to the ED by emergency medical services (EMS). A 3-part checklist consisting of the basic and demographic information of the patients, items related to the RACE scale, and the final diagnosis of the patients based on interpretation of patients’ brain MRI was used for data collection. All data were entered in Stata 14 software. We used the ROC analysis to evaluate the diagnostic power of the test.ResultIn this study, data from 805 patients with the mean age of 66.9 ± 13.9 years were studied of whom 57.5% were males. Of all the patients suspected of stroke who transferred to the ED, 562 (69.8%) had a definite final diagnosis of AIS. The sensitivity and specificity of the RACE scale for the recommended cut-off point (score ≥ 5) were 50.18% and 92.18%, respectively. According to the Youden J index, the best cut-off point for this tool for differentiating AIS cases was a score > 2, at which sensitivity and specificity were 74.73% and 87.65%, respectively.ConclusionIt seems that, the RACE scale is an accurate diagnostic tool to detect and screen AIS patients in ED, Of course, not at the previously suggested cut-off point (score ≥ 5), but at the score > 2.

Early identification and characterisation of stroke to support prehospital decision-making using artificial intelligence: a scoping review protocol

IntroductionStroke is a time-critical condition and one of the leading causes of mortality and disability worldwide. To decrease mortality and improve patient outcome by improving access to optimal treatment, there...

Impact of the COVID-19 pandemic on acute stroke care: Ananalysis of the 24-month data from a comprehensive strokecenter in Shanghai, China.

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. 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. 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 4.5h 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). 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.

Abstract 46: Cumulative Incidence Of Stroke Disability/mortality Following Emergency Department Discharge For Dizziness

Introduction: Providers are often concerned about missing stroke in Emergency Department (ED) dizziness visits. Prior studies found that the cumulative incidence of stroke after ED discharge for dizziness is low. However, little is known about the magnitude of disability and/or severity of subsequent strokes which is important for informing the scope of the problem. We aimed to estimate the cumulative incidence of stroke-disability/mortality following ED dizziness visits that were discharged home. Methods: We conducted a retrospective cohort study from January 2016 to December 2020 across 13 EDs within Kaiser Permanente Southern California (KPSC). We included all index visits for adults who were discharged home from the ED after a primary dizziness visit, excluding those with DNR/hospice status, trauma, or index stroke diagnosis. Post-stroke disability/mortality - defined as stroke hospitalization not discharged home - was captured over a 30-day follow-up period. Cumulative incidence of stroke-disability/mortality was calculated using Kaplan-Meier estimates censored for non-stroke death. Acute stroke management was also summarized. Results: We identified 77,315 index dizziness visits discharged home from the ED. Median age was 59 years (IQR,44-71) and 62% were female. The 30-day cumulative incidence of stroke-hospitalization was 0.12% (95% CI 0.10-0.15%; 1 in 823) and the cumulative incidence of post stroke-disability/mortality was 0.04% (95%CI 0.03-0.06; 1 in 2,342). At the subsequent stroke-hospitalizations, the frequency of acute interventions was as follows: 3% (3/94) intra-arterial thrombolytics, 5% (5/94) thrombectomy, 2% (2/94) suboccipital craniotomy, 3% (3/94) tracheostomy, 3% (3/94) gastrostomy, 10% (9/94) mechanical intubation. Conclusions: The cumulative incidence of post stroke-disability/mortality among patients discharged from the ED for dizziness is low and acute interventions used to manage severe strokes were infrequent. These data are important for planning studies to optimize outcomes of patients presenting to the ED for dizziness.

Abstract WP31: Driving Down Door To Needle Time: ED Stroke Leadership's Commitment To Continuous Improvement

Background: In March 2019, our 126 bed community hospital received Primary Stroke Center Certification. The Emergency Department (ED) Stroke Leadership Team was tasked with the responsibility of identifying opportunities for process improvement and implementing changes within the ED. Purpose: The purpose of this poster is to illustrate the ED Stroke Leadership Team’s commitment to continuous improvement ultimately reducing EMS Door to Needle time. Method: Data was obtained through retrospective case review of patients who arrived via EMS and received IV thrombolysis for acute ischemic stroke in the ED, between April 2019 and June 2022. Process improvement data was reviewed monthly and interventions were implemented at various intervals using the Plan-Do-Check-Act (PDCA) method. Some early interventions included but were not limited to: EMS pre-notification, a broadcasted stroke alert for all ED staff including pharmacy and CT, and the creation of an EMS direct to CT process. January 2022, the ED Stroke Leadership Team began their 4 th cycle of the PDCA. In addition to changing the IV thrombolytic from alteplase to tenecteplase, the team took the opportunity to make additional changes to the process and provided education of the stroke protocols and measures to the staff. Results: The ED began receiving stroke patients via EMS in April 2019. At the end of 2019 a total of 13 stroke patients arrived via EMS with 5 patients receiving IV thrombolytic therapy with a median Door to Needle baseline of 51 minutes. In 2020 &amp; 2021 EMS stroke pre-notifications increased to 30 and 72 patients respectively but the IV thrombolytic was given to a two year combined total of 9 patients with a median Door to Needle time of 41 minutes. January 2022 we began to see a rise in the volume of stroke patients. As of June 2022, EMS delivered 53 patients in which 9 received IV tenecteplase with a median Door to Needle time of 28 minutes. These incremental process improvements represent a 45% decrease in EMS Door to Needle over the last 3 years. Conclusions: In conclusion, the ED Stroke Leadership Team’s commitment to continuous improvement has been the driving factor in the reduction of the EMS Door to Needle time.

Abstract TP24: Importance Of Staff Engagement And Performance Improvement Model In A High Performing Emergency Department Stroke Center

Background and Purpose: As a high-performing Advanced Primary Stroke Center (HPAPSC) an opportunity to explore learnings from local existing strategies on improving door-to-needle times (DTN) will assist in sustaining performance. With the use of Teleneurology technology and an early adopter of Tenecteplase, the APSC has exceeded national benchmarks on DTN. The challenge for a low-volume, HPAPSC is how to sustain performance while increasing the reliability of evidence practices, enhancing staff engagement, and reducing patient harm. Methods: With the availability of evidence-based interventions, the HPAPSC facility adopted the engage, educate, execute, and evaluate improvement concepts. Every stroke alert (SA) event is evaluated. Using a rapid improvement process in real-time, the team debriefs to identify learning opportunities (LO) for each event. The nurse’s involvement in the team debriefing process increased staff proficiency and engagement in the SA process. Each LO is translated to new training, coaching, and workflow modification. The ED team regularly assesses workflows and identifies unintended consequences. Finally, The SA team is recognized for their excellent practice. Results: From January 2020 to June 2022, we continue to meet DTN for less than 30 minutes at 89%. Staff engagement led to process changes including a new targeted SA workflow, increase recognition of posterior strokes in triage, reduced SA response time on walk-in patients, and increase compliance in post-thrombolytic assessment. Since the start of the project in January 2022 the Tenecteplase treatment rate is at 2.9% of acute ischemic stroke patients based on the number of stroke alerts. The bleed rate is at 4.2%. Conclusions: The ED SA team learned that transparency and staff involvement provide continued engagement, improved team dynamics, and a culture of continuous improvement. Thus, sustaining door-to-needle times, improving clinical outcomes and quality of care.

Effect of Optimized Emergency Care on Treatment Rate and Prognosis of Elderly Patients with Acute Stroke in Emergency Department: A Systematic Review and Meta-Analysis.

Objective This research was to detect the treatment rate and prognosis of elderly patients with acute stroke in emergency department by the optimization of emergency care applying meta-analysis. Methods The online databases including PubMed, EMBASE, ScienceDirect, Cochrane Library, China knowledge Network Database (CNKI), China VIP Database, Wanfang Database, and China Biomedical Literature Database (CBM) were searched. The retrieval time limit was set from the establishment of the database to the present. The data were extracted independently by two investigators. The bias of per publication was assessed following Cochrane manual 5.1.0 standard. RevMan5.4 statistical software was used to analyze the collected data by meta. Results The 8 randomized controlled trials included in this meta-analysis all reported patients' baseline status. The meta-analysis of the rescue time of the study group and the control group (CH2 = 1507.80, df = 4, P ≤ 0.001, and I2 = 100%) showed that the emergency nursing with optimized emergency procedures can shorten the rescue of elderly acute stroke patients in the emergency department time. There are 6 literatures reporting the case fatality rate (Chi2 = 1.12, df = 5, P = 0.95 > 0.05, and I2 = 0%), and the death rate of the study group was not higher than that of the control group (Z = 4.4 and P < 0.0001). The use of optimized first aid can reduce mortality in elderly patients with acute stroke. Six articles on disability rate reported the heterogeneity of disability rate (CH2 = 2.88, df = 5, P = 0.72 > 0.05, and I2 = 0%), indicating that the disability rate in the study group was lower than that in the control group (Z = 3.91 and P < 0.0001), indicating that emergency nursing by optimizing emergency procedures can reduce the disability rate of elderly stroke patients in emergency department. Conclusion Optimizing the emergency care process can effectively improve the emergency rate and prognosis of elderly patients with acute stroke in emergency department; however, further research with higher methodological quality and longer intervention time are needed to verify later.

Circulating miRNA-195-5p and -451a in Patients with Acute Hemorrhagic Stroke in Emergency Department.

(1) Background: In our previous study, acute ischemic stroke (AIS) patients showed increased levels of circulating miRNAs (-195-5p and -451a) involved in vascular endothelial growth factor A (VEGF-A) regulation. Here, we evaluated, for the first time, both circulating miRNAs in acute intracerebral hemorrhagic (ICH) patients. (2) Methods: Circulating miRNAs and serum VEGF-A were assessed by real-time PCR and ELISA in 20 acute ICH, 21 AIS patients, and 21 controls. These were evaluated at hospital admission (T0) and after 96 h (T96) from admission. (3) Results: At T0, circulating miRNAs were five-times up-regulated in AIS patients, tending to decrease at T96. By contrast, in the acute ICH group, circulating miRNAs were significantly increased at both T0 and T96. Moreover, a significant decrease was observed in serum VEGF-A levels at T0 in AIS patients, tending to increase at T96. Conversely, in acute ICH patients, the levels of VEGF-A were significantly decreased at both T0 and T96. (4) Conclusions: The absence of a reduction in circulating miRNAs (195-5p and -451a), reported in acute ICH subjects after 96 h from hospital admission, together with the absence of increment of serum VEGF-A, may represent useful biomarkers indicating the severe brain damage status that characterizes acute ICH patients.

Abstract 27: Predicting Ischemic Stroke In Emergency Departments: Development And Validation Of Machine Learning Models

Background: Stroke misdiagnosis is estimated to occur in 9% of all stroke patients and is associated with poor outcomes. We hypothesized that machine learning (ML) could be used to detect ischemic stroke at the point of care in emergency departments (ED). Methods: Clinical data from 13 hospitals of a large health system in Pennsylvania, United States, from September 2003 to May 2019 were used for model development. Data from June 2019 to December 2020 were prospectively collected and divided into pre- and post-COVID cohorts for validation. We simulated three clinical settings by enrollment with different inclusion/exclusion criteria and created two ML pipelines: ML applied to pre-event clinical data, and natural language processing (NLP) with ML applied to clinical notes during triaging. Misdiagnosed stroke in ED was a case study to show the discriminative power. Results: We included a total of 49,155 patient encounters (8,900 consecutive ischemic stroke patients and 40,255 controls). The best model, based on the patient’s pre-event information, was XGBoost (AUROC=0.91). Using NLP+ML pipeline, we collected 2,070 notes during the triage process and 9,607 notes (non-stroke) for modeling. For independent validation, we identified 2,989 notes for stroke and 4,303 notes for non-stroke. We identified nine models that reached a balanced performance in terms of AUROC, sensitivity, and specificity. Model performance, in terms of AUROC, ranged from 0.876 to 0.985. Model sensitivity and specificity reached 0.993 and 0.975, respectively. There was no performance difference between models tested on pre- and post-COVID. Three out of four models correctly identified a separate case series of five misdiagnosed strokes. Conclusion: Available clinical information can be used to reduce stroke misdiagnosis in real-time. In addition, this study serves as a foundation for prospective trials to establish how pre-event clinical data and triage information can be used to improve care.

Abstract TP121: Examination Of Initial NIHSS And Discharge Disposition In Patients Hospitalized With Acute Ischemic Stroke

Introduction: Acute ischemic stroke (AIS) patients require post-acute care (PAC) rehabilitation that is consistent with degree of stroke deficit. Appropriate PAC disposition for AIS patients varies widely. We examine the relationship between initial National Institutes of Health Stroke Scale (NIHSS) and discharge disposition to determine if stroke severity is associated with disposition. Methods: In our IRB-approved database, consecutive Emergency Department stroke code activations with confirmed diagnosis of AIS were retrospectively analyzed from January 2004-May 2021 at UC San Diego. Patients were grouped into mild (NIHSS 0-5), moderate (NIHSS 6-14), and severe (NIHSS &gt;14) stroke. Outcome variables were PAC disposition: Home, Inpatient Rehab Facility (IRF), Skilled Nursing Facility (SNF), Expired, and Other. Chi-squared and Kruskal-Wallis followed by pairwise proportion tests were used for analysis. Analyses were adjusted for age, sex, baseline modified Rankin score (mRS), and acute stroke treatment. Results: Total 2316 patients were included for analysis. There was a difference between initial stroke severity and discharge disposition overall (p&lt;0.001). (Table 1). Mild stroke patients had less discharges to IRF, SNF, Expired, or Other compared to moderate (p&lt;0.001) and severe (p&lt;0.001) strokes. There was no difference between moderate and severe stroke patients discharged to IRF (p=0.44) or SNF (p=0.48). Age, baseline mRS, and receiving acute stroke treatment were independent predictors for discharge to home, IRF, and SNF. Baseline mRS was an independent predictor for Expired patients. Conclusion: Patients with mild strokes are discharged home more than moderate and severe strokes, but there was no difference between moderate and severe stroke patients discharged to either IRF or SNF. This suggests PAC disposition is not consistent with stroke severity and further studies are needed to investigate other factors related to final disposition.

Diagnostic value of whole-brain computed tomographic perfusion imaging for suspected large artery occlusion stroke patients in emergency department.

To evaluate the diagnostic value of whole-brain computed tomographic perfusion (WB-CTP) in emergency department for suspected large artery occlusion stroke. Suspected large artery occlusion (LAO) stroke patients had initial WB-CTP in the neurological emergency department from August 2016 to August 2018 were retrospectively reviewed for analysis. The sensitivity and specificity of non-contrast computed tomographic scan (NCCT) or WB-CTP for diagnosis of cerebral infarction was compared between the anterior circulation and posterior circulation. The imaging characteristics of WB-CTP in patients with stroke-mimics were described. Among the 300 included patients, 259 patients (86.3%) were finally diagnosed as cerebral infarction, 16 (5.3%) were transient ischemic attack, 10 (3.3%) were epileptic seizure and 3 (1%) were cerebral venous sinus thrombosis (CVST). For patients with final diagnosis of cerebral infarction, WB-CTP found abnormality in 206 cases (79.5%). NCCT had poor sensitivity (4.6%) but high specificity (100%) for cerebral infarction. The CTP imaging had a sensitivity of 81.2% in anterior circulation and 59.6% in posterior circulation stroke, both with good specificity (57.1% and 92.6%, respectively). 60% (6/10) of epileptic patients showed abnormal perfusion in CTP maps, which was inconsistent with cerebral arterial supply territories. Hypoperfusion manifestations were discovered in areas adjacent to occlusion sinus of all 3 CVST cases. This retrospective study indicates WB-CTP can be useful in identifying acute ischemic stroke in emergency department, especially for patients with acute LAO stroke. Moreover, WB-CTP may have a value in differentiating stroke mimics such as epilepsy and CVST.

Stroke Burden in Agrı: Stroke Situation in Underdeveloped Region of Turkey.

Stroke is the second cause of mortality and the third cause of disability worldwide in adults. There is no published data about stroke in Agrı.We aim to define stroke subtypes and associated risk factors. Thus, we can be aware of stroke burden in rural areas and can develop strategies to reduce the stroke risk. Records of Agrı State Hospital were investigated for a period of 3 years retrospectively. Patients were divided to ischemic and hemorrhagic stroke groups. Hemorrhagic strokes were classified as subarachnoid hemorrhage (SAH) and intracerebral hemorrhage (ICH). Ischemic strokes were classified according to localization and etiology. Vascular risk factors for ischemic stroke were assessed and compared between groups. The differences between variables were evaluated using Pearson κi square test and one-way ANOVA. There were 1246 patients evaluated for stroke in Emergency Department and 525 (42% of prediagnosis) patients were diagnosed as stroke. There were 25.3% hemorrhagic (5.1% SAH and 20.1% ICH) versus 74.6% ischemic stroke. Intensive care required for 61.6% of hemorrhagic and 22.4% of ischemic patients. The most prevalent localization was partial anterior circulation infarction, and the most known etiology was cardioembolism after unknown cause in ischemic strokes. The most encountered risk factor was hypertension (HT). Coronary artery disease history, HT, and atrial fibrillation (AF) were risk factors for recurrent stroke (P = .001). Stroke types in Agrı resembles more to Asian population than Europe. Awareness for stroke, HT, and AF treatment could be the primary targets for stroke reduction in underdeveloped regions.

Validation of an electronic trigger to measure missed diagnosis of stroke in emergency departments.

Diagnostic errors are major contributors to preventable patient harm. We validated the use of an electronic health record (EHR)-based trigger (e-trigger) to measure missed opportunities in stroke diagnosis in emergency departments (EDs). Using two frameworks, the Safer Dx Trigger Tools Framework and the Symptom-disease Pair Analysis of Diagnostic Error Framework, we applied a symptom-disease pair-based e-trigger to identify patients hospitalized for stroke who, in the preceding 30 days, were discharged from the ED with benign headache or dizziness diagnoses. The algorithm was applied to Veteran Affairs National Corporate Data Warehouse on patients seen between 1/1/2016 and 12/31/2017. Trained reviewers evaluated medical records for presence/absence of missed opportunities in stroke diagnosis and stroke-related red-flags, risk factors, neurological examination, and clinical interventions. Reviewers also estimated quality of clinical documentation at the index ED visit. We applied the e-trigger to 7,752,326 unique patients and identified 46,931 stroke-related admissions, of which 398 records were flagged as trigger-positive and reviewed. Of these, 124 had missed opportunities (positive predictive value for "missed" = 31.2%), 93 (23.4%) had no missed opportunity (non-missed), 162 (40.7%) were miscoded, and 19 (4.7%) were inconclusive. Reviewer agreement was high (87.3%, Cohen's kappa = 0.81). Compared to the non-missed group, the missed group had more stroke risk factors (mean 3.2 vs 2.6), red flags (mean 0.5 vs 0.2), and a higher rate of inadequate documentation (66.9% vs 28.0%). In a large national EHR repository, a symptom-disease pair-based e-trigger identified missed diagnoses of stroke with a modest positive predictive value, underscoring the need for chart review validation procedures to identify diagnostic errors in large data sets.

Abstract P286: The Effects of COVID-19 on the Reasons for Not Calling 911 for Acute Stroke

Objective: Our Stroke Program regularly provides community outreach and stroke education. The stroke team educates on signs and symptoms of stroke, risks factors, and 911 activation. Within a few days of discharge, Neuroscience nurses call stroke patients to ensure patients have obtained their prescription medications, have follow-up appointments, inquire about their satisfaction with our services, and reinforce stroke education. As part of these calls, our team asked why patients/families did not call 911. The purpose of this study was to determine if the COVID-19 crisis influenced the reasons why 911 was not called for possible stroke to better plan for targeted stroke education. Method: Discharge phone survey data from our stroke network was collected from Feb-Jul 2019 and compared to Feb-Jul 2020. Our stroke network includes 1 comprehensive stroke center and 2 primary stroke centers. Emergency Department (ED) stroke activation data was gathered for the same time periods. Discharge phone calls data was based on discharge date, whereas ED stroke alert data was based on admission date. Results: There was a notable decline in stroke volume between 2019 to 2020 with the largest decline occurring during the first peak (Apr 2020) in COVID-19 cases within our state. This decline was driven by a 16% decline in walk-in ED stroke arrivals as compared to a 1% decline in EMS stroke arrivals. Of those who did not call 911 in 2020, there was a 7% increase in failing to recognize stroke symptoms as an emergency, a 6% increase in concern about EMS cost, and 6% decrease in hospital preference. Conclusion: The COVID-19 crisis negatively influenced stroke volumes within our system stroke program. Reductions in stroke walk-ins accounted for this decline. COVID-19 affected the reasons why 911 was not called. The largest increase was in not recognizing stroke symptoms as an emergency and increased concern about EMS associated costs. Surprisingly, COVID-19 was not listed as a reasons for avoiding 911. Targeted community educational efforts on these concerns may lead to improved 911 usage for suspected stroke during the COVID-19 pandemic. Limitations: Further research is needed to investigate why those with a stroke who would have been walk-ins decided not to seek urgent medical attention.

Abstract P816: Nurse-Driven Rapid Covid-19 Testing in Emergency Department Stroke Patients

Introduction: The COVID-19 pandemic presents obstacles to time sensitive emergencies, such as stroke care. In acute strokes, knowing the COVID-19 status may help to preserve personal protective equipment (PPE) in patients in whom a thrombectomy may be indicated and helps to decrease unnecessary exposure. This study aims to demonstrate that rapid evaluation of a patient’s COVID-19 status is feasible without delaying treatment times. Methods: An intradisciplinary team was convened to create a workflow for rapid COVID-19 testing. The Abbott Rapid® COVID-19 swab kit and assay were stocked in the ED Pyxis, utilizing the narcotic count feature to ensure all swabs were accounted. Upon activation of Code Stroke, the ED RN donned PPE and swabbed the patient’s naso-oral pharynx. The collected swab was labeled, placed in a bio-hazard bag, sanitized and handed to a second RN outside of the room. The specimen was taken to a pre-alerted lab technician who prepped the assay after hearing the code stroke. After specimen collection, the patient followed the normal code stroke pathway and was taken to the CT scanner. Metrics were analyzed for the pre COVID-19 (January through April) and during active COVID-19 (May through July) periods. Results: There were 136 code strokes from January thru July 2020. 81 were during pre-COVID vs. 55 during active-COVID. 47 of 55 (96%) were swabbed, 2 (4%) of whom were positive. There was no difference between pre-COVID and active-COVID door to CT initiated time (16 mins [IQR 13-24] vs. 22 mins [IQR 13-25] p=0.75), door to CT resulted time (21 mins [IQR 15-26]) vs. 23 mins [IQR 16-29] p=0.63). 18 patients received tPA pre-COVID and 5 during active-COVID with no difference in DTN (pre: 37.5 mins [IQR 30-43] vs. active: 28 mins {IQR 26-41] p=0.37). Door to CT initiated was faster for those who had their COVID swab performed pre-CT (14 mins [IQR 11.5-16.5] p=0.034) vs. post-CT (20 mins [IQR 17-28]). Likewise, door to CT resulted was also faster pre-CT: 24 mins [IQR 19-32] vs. post-CT: 17 mins [IQR 15-23] (p=0.04). Conclusion: The COVID-19 rapid swab code stroke process was feasible and did not delay treatment times.