Abstract WP281: Pharmacists Improve Door to Needle Times in the Emergency Department

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Kevin Phan ◽  
Megan Degener
Keyword(s):  
Emergency Department ◽  
Cerebral Perfusion ◽  
Stroke Care ◽  
Time Frame ◽  
Safe Delivery ◽  
Team Meetings ◽  
Stroke Team ◽  
Comprehensive Stroke Center ◽  
Stroke Center ◽  
The Impact

Background: An estimated two million brain cells die every minute cerebral perfusion is impaired. The best outcomes for acute ischemic strokes are achieved by decreasing the time from emergency department (ED) arrival to thrombolytic therapy. Alteplase, a high risk medication, was dosed and prepared in the pharmacy. This contributed to prolonged door to needle (DTN) times. Purpose: To describe the impact of pharmacist interventions on DTN times in the ED. Methods: All patients who received alteplase for acute ischemic stroke from January 2012 to April 2019 were reviewed. In November 2012, the ED pharmacy program began with a dedicated ED pharmacist for 8 hours a day and expanded to 13 hours a day in September 2014. During those hours alteplase was prepared at bedside in the ED. In November 2015, all pharmacists were trained on the ED code stroke process. Monthly case reviews and DTN times were reported to the stroke coordinators starting January 2017. Alteplase preparation and administration in the computed tomography (CT) room started April 2017. Following comprehensive stroke center certification, routine stroke competency exams were administered to pharmacists in 2018. In 2019, pharmacists started reporting DTN times at neuroscience core team meetings. Results: During this time frame, a total of 407 patients received alteplase. Average DTN times decreased from a baseline of 130.9 minutes to 45.3 minutes. Interventions that resulted in the largest decrease in average DTN times were the expanded ED service hours (34.6 minutes) and pharmacist preparation of alteplase in the CT room (21.9 minutes). Conclusions: Pharmacists directly impacted stroke care in the ED by decreasing DTN times. Presence of a pharmacist in the ED enabled fast and safe delivery of alteplase by ensuring accurate dosing and preparation. Pharmacists also performed rapid medication reconciliation and expedited antihypertensive therapies. In conclusion, having pharmacists as part of the stroke team is a model that could be adopted by hospitals to enhance stroke 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.

Abstract WP439: "You Gotta Troll to Enroll!" Nurses Actively Scouting Patients for Clinical Trials

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Betty Robertson ◽  
Denise Levesque ◽  
Nicole Wolber ◽  
Nili Steiner ◽  
Nancy Nunez ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Anticoagulation Therapy ◽  
Training Session ◽  
Stroke Care ◽  
Patient Identification ◽  
Stroke Team ◽  
Expert Nurses ◽  
Comprehensive Stroke Center ◽  
Stroke Center ◽  
Patient Enrollment

Problem/ Background: Evidence- based practice is the cornerstone in delivery of stroke care to optimize outcomes for patients. Research is the foundation to build and advance clinical practice. As a Comprehensive Stroke Center, we are charged with participating in IRB approved research. In 2016 the SUCCEED trial was stopped here as a result of low enrollment. The stroke nurses were not directly involved in that trial. In 2017, the stroke nurses partnered with our physicians and began the ARAMIS trial. This is a multicenter study of acute stroke patients taking anticoagulation therapy prior to admission and suffering a stroke. We recognized the need for our stroke nurses to collaborate, participate and use their expertise in identifying appropriate research patients for this study. Quality Question: Will tasking Stroke Nurses with identifying patients improve the enrollment of patients in ARAMIS trial? Methods: Stroke nurses attended an ARAMIS training session for physicians. Included in the meeting was review of inclusion/exclusion criteria for patient enrollment. A group e-mail was created for all participating in the study to help identify potential patients. When a patient was discovered an email was sent to the group alerting those responsible for obtaining consent for the study and data collection for the registry. Results: After one trial was ended due to low enrollment, the new ARAMIS trial opened. The stroke team nurses took the lead on identifying patients. Reviewing retrospective data starting in November 2017 until March 2019, 56 patients were enrolled in Aramis. Stroke nurses identified 43 patients (77%), Neurology fellows 10 (18%) and Faculty physicians 3 (5%). Conclusion: When including expert nurses in the patient identification process, the nurse plays a pivotal role in identifying appropriate patient for the MDs to enroll, thus, increasing enrollment in clinical trials. While additional tracking and trending needs to take place as new trails open, this trial makes clear the need for nurse involvement in identifying appropriate patients.

Abstract TP289: Code Neuro-Intervention a New Necessity: Reality of Shifting Stroke Care Paradigm

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Laura Suhan ◽  
Spozhmy Panezai ◽  
Jaskiran Brar ◽  
Audrey Z Arango ◽  
Anna Pullicino ◽  
...  
Keyword(s):  
Stroke Care ◽  
Work Hours ◽  
Stroke Treatment ◽  
Angiography Suite ◽  
Stroke Team ◽  
Cross Training ◽  
Code Process ◽  
Time Parameters ◽  
Comprehensive Stroke Center ◽  
Stroke Center

Background: Various strategies have been implemented to reduce acute stroke treatment times. A unique code process pathway was designed at our hospital specifically to be activated by the stroke team for the purpose of rapidly assembling the Neurointerventional team. Methods: Code Neurointervention (NI), was designed and tested from January 2014 to April 2014 for all the patients who presented with ischemic strokes to our community based, university affiliated comprehensive stroke center. We retrospectively analyzed all patients who had Code NI called from May 1, 2014 to April 30, 2015 and compared them to patients who underwent acute endovascular treatment the prior year (Non Code NI). The following parameters were compared: decision to recanalization and door to recanalization times. Further analysis was done to compare patients presenting during business hours (Monday-Friday 8am-5pm) and off hours using GraphPad QuickCalcs Web site. Results: There were 28 Code NI; 14 were called during work hours and 14 during off hours. The previous year 25 patients underwent acute endovascular intervention; 12 during work hours and 13 during off hours. Mean decision to recanalization time was 106 (Code NI) vs 115 minutes (Non Code NI) (p<0.0.6) during work hours and 154 (Code NI) vs 139 minutes (Non Code NI) (p<0.37) during off hours. Mean door to recanalization time was 169 (Code NI) vs 173 minutes (Non Code NI) (p<0.85) during work hours and 252 (Code NI) vs 243minutes (Non Code NI) (p< 0.75) during off hours. Subset analysis of time parameters for patients in Code NI group showed mean decision to recanalization times of 106 minutes during work hours vs 154 minutes off work hours (p<0.004). Mean door to recanalization times were 169 minutes vs 251 minutes (p<0.0003), respectively. Conclusion: Institution of Code NI significantly improved intervention time parameters during work hours as compared to off hours. Rapid assembly of the neurointervention team, rapid availability of imaging and angiography suite likely contribute to these differences. Further initiatives, such as improving neurointervention staff availability during off hours or cross training other staff can further improve acute intervention time parameters.

Abstract TP377: Nurse Entered Stroke Order Sets Improve Emergency Department Metrics at a Comprehensive Stroke Center

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Tawnae C Griffith ◽  
Atul Gupta ◽  
Stacey Aggabao ◽  
Raeesa Dhanji ◽  
Denise Gaffney ◽  
...  
Keyword(s):  
Emergency Department ◽  
Stroke Care ◽  
Cardiac Monitoring ◽  
Post Intervention ◽  
Improvement Project ◽  
Order Sets ◽  
Comprehensive Stroke Center ◽  
Stroke Center ◽  
Contrast Ct ◽  
Order Set

Introduction: The Joint Commission has established time sensitive metrics for stroke care in the Emergency Department (ED) including door to initial physician evaluation, door to lab and CT order placement, door to lab resulted and door to CT interpretation. Purpose: The purpose of this quality improvement project was to assess if nurse entered protocolized order sets for stroke patients would help to improve these metrics. Methods: A code stroke order set was initiated independently by nursing staff upon symptom recognition in the ED. The order set included CBC, electrolyte panel, BUN, creatinine, glucose, troponin, PT/INR, aPTT, non-contrast CT head, EKG, swallow screen and continuous cardiac monitoring. Data was collected for 3 months pre and post intervention. All ED nurses were trained on order set entry and their skills were validated. Data was analyzed using a T-Test. Results: 60 patient pre and 52 post-implementation were evaluated. Door to initial physician evaluation was faster (7 mins pre vs. 5 mins post; p=0.029). Door to lab order placement was faster (8 mins pre vs. 3 mins post; p=0.038). Door to CT ordered was faster (8 mins pre vs. 6 mins post; p<0.01). Door to labs resulted was faster (32 mins pre vs. 27 mins post; p=0.01). Door to CT interpretation was faster (19 mins pre vs. 18 mins post; p=0.04). Conclusion: Implementation of nurse entered order sets can improve ED metrics for door to initial physician evaluation, door to lab and CT order placement. This subsequently led to faster interpretation of the CT scan and lab results.

Abstract WP334: Standardized Language Reduces Symptom Discovery to CT Times: “Code Stroke - Inpatient”

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Kailey L Cox ◽  
Elizabeth Baraban
Keyword(s):  
Evaluation Process ◽  
Rapid Response Team ◽  
Stroke Care ◽  
Inpatient Setting ◽  
Standard Language ◽  
High Performing ◽  
Stroke Team ◽  
Response Team ◽  
Comprehensive Stroke Center ◽  
Stroke Center

Introduction: Inpatient stroke represents up to 17% of all strokes and should receive the same timely care as patients arriving to the ER, especially in a Joint Commission Certified Comprehensive Stroke Center (CSC). However, evidence suggests there is greater in-hospital delay in evaluation and treatment of inpatient strokes compared with stroke patients in the ER. To reduce symptom discovery to CT time, we implemented standardized language and a single pager for inpatient stroke alerts in a CSC hospital. Hypothesis: Using standard language to activate the stroke team and a one-call system will reduce symptom discovery to CT times for patients with stroke in the inpatient setting. Methods: A baseline evaluation revealed a lack of standard language for activating the stroke team (e.g. “Activate Stroke Team”, “Acute Stroke”, “Stroke Consult”, “Internal Alert”) and that the Rapid Response Team (RRT) nurse had to call multiple people to initiate the stroke evaluation process. Key stakeholders formed a workgroup and implemented a hospital-wide education initiative that included the use of standardized language for inpatient activation of the stroke team (“Code Stroke - Inpatient”) and the creation of a pager group with all responders (Stroke MD, RRT nurse, Transport, CT tech, Pharmacy, IV therapy, Chaplain, and NCCU Charge RN). Symptom discovery time to CT was measured pre- (January 2015-February 2016) and post-implementation (March 2016-August 2016). Data were reported as mean ± standard deviation and median [interquartile range], and results were analyzed using an unpaired t-test. Results: Implementation of standardized language and a single pager reduced the symptom discovery to CT times from 260 ± 421.9 minutes (median = 98 [59,277], n=22) pre-implementation to 39.8 ± 16.5 minutes (median = 36.0 [28, 47], n=20) post-implementation. Conclusion: A multidisciplinary approach is essential to improving symptom discovery to CT times for inpatient strokes; even high performing CSC’s may lack timely care for this population. Continued research is needed to understand successful methods for equalizing the disparity of stroke care in the ER versus inpatient units.

Abstract P113: Impact of Covid-19 Pandemic on the Pre-Hospital Evaluation and Presentation of Ischemic Stroke at a Non-Urban Comprehensive Stroke Center

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Cesar Velasco ◽  
Alicia M Richardson ◽  
Varun Padmanaban ◽  
Raymond K Reichwein ◽  
Ephraim Church ◽  
...  
Keyword(s):  
Urban Areas ◽  
Stroke Care ◽  
Final Diagnosis ◽  
Medical Attention ◽  
Severe Illness ◽  
Presenting Symptoms ◽  
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 non-urban areas with minimal community transmission is less well understood. Methods: Using a prospectively maintained pre-hospital 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. The slopes of these trend lines are significantly different (3.30; 95%CI 0.48 - 6.12 versus -3.70; 95%CI -5.76 - -1.64, P = 0.001). There were no significant differences in demographics, comorbidities, symptom severity, or stroke discharge diagnoses between the two time periods. However, the median interval from LKW to time of EMS dispatch was significantly longer in January to April 2020 (12 + 273 min) compared to the same time period of January through April in 2019 (7 + 115 min). Conclusion: Our data indicate not only a decrease in patient transport volumes but more alarmingly, significantly longer intervals to EMS activation for suspected stroke care. These results suggest that even in a non-urban location without widespread community transmission patients were delaying or avoiding care for severe illness such as stroke.

scholarly journals Effect of the COVID-19 pandemic on acute stroke reperfusion therapy: data from the Lyon Stroke Center Network

2020 ◽  
Author(s):  
Cécile PLUMEREAU ◽  
Tae-Hee CHO ◽  
Marielle BUISSON ◽  
Camille AMAZ ◽  
Matteo CAPPUCCI ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Control Period ◽  
Intravenous Thrombolysis ◽  
Stroke Care ◽  
Reperfusion Therapy ◽  
Acute Stroke Care ◽  
Emergency Medical Dispatch ◽  
Comprehensive Stroke Center ◽  
Stroke Center ◽  
The Impact

Abstract BackgroundThe coronavirus disease 2019 (COVID-19) pandemic would have particularly affected acute stroke care. However, its impact is clearly inherent to the local stroke network conditions. We aimed to assess the impact of COVID-19 pandemic on acute stroke care in the Lyon comprehensive stroke center during this period.MethodsWe conducted a prospective data collection of patients with acute ischemic stroke (AIS) treated with intravenous thrombolysis (IVT) and/or mechanical thrombectomy (MT) during the COVID-19 period (from 29/02/2020 to 10/05/2020) and a control period (from 29/02/2019 to 10/05/2019). The volume of reperfusion therapies and pre and intra-hospital delays were compared during both periods.ResultsA total of 208 patients were included. The volume of IVT significantly decreased during the COVID-period (55 (54.5%) vs 74 (69.2%); p=0.03) and was mainly due to time delay among patients treated with MT. The volume of MT remains stable over the two periods (72 (71.3%) vs 65 (60.8%); p=0.14) but the door-to-groin puncture time increased in patients transferred for MT (237 [187-339] vs 210 [163-260]; p<0.01). The daily number of Emergency Medical Dispatch calls considerably increased (1502 [1133-2238] vs 1023 [960-1410]; p<0.01).ConclusionsOur study showed a decrease of the volume of IVT, whereas the volume of MT remained stable although intra-hospital delays increased for transferred patients during the COVID-19 pandemic. These results contrast in part with the national surveys and suggest that the impact of the pandemic may depend on local stroke care networks.

In-Hospital Stroke Care: A Six-Year Community-Based Primary Stroke Center Experience

2021 ◽  
pp. 194187442110070
Author(s):  
Felix Ejike Chukwudelunzu ◽  
Bart M Demaerschalk ◽  
Leonardo Fugoso ◽  
Emeka Amadi ◽  
Donn Dexter ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Hospital Mortality ◽  
Statistical Significance ◽  
Intravenous Thrombolysis ◽  
Stroke Care ◽  
Community Based ◽  
Chi Square ◽  
Stroke Team ◽  
Primary Stroke Center ◽  
Stroke Center

Background and purpose: In-hospital stroke-onset assessment and management present numerous challenges, especially in community hospitals. Comprehensive analysis of key stroke care metrics in community-based primary stroke centers is under-studied. Methods: Medical records were reviewed for patients admitted to a community hospital for non-cerebrovascular indications and for whom a stroke alert was activated between 2013 and 2019. Demographic, clinical, radiologic and laboratory information were collected for each incident stroke. Descriptive statistical analysis was employed. When applicable, Kruskal-Wallis and Chi-Square tests were used to compare median values and categorical data between pre-specified groups. Statistical significance was set at alpha = 0.05. Results: There were 192 patients with in-hospital stroke-alert activation; mean age (SD) was 71.0 years (15.0), 49.5% female. 51.6% (99/192) had in-hospital ischemic and hemorrhagic stroke. The most frequent mechanism of stroke was cardioembolism. Upon stroke activation, 45.8% had ischemic stroke while 40.1% had stroke mimics. Stroke team response time from activation was 26 minutes for all in-hospital activations. Intravenous thrombolysis was utilized in 8% of those with ischemic stroke; 3.4% were transferred for consideration of endovascular thrombectomy. In-hospital mortality was 17.7%, and the proportion of patients discharged to home was 34.4% for all activations. Conclusion: The in-hospital stroke mortality was high, and the proportions of patients who either received or were considered for acute intervention were low. Quality improvement targeting increased use of acute stroke intervention in eligible patients and reducing hospital mortality in this patient cohort is needed.

scholarly journals COVID-19: Stroke Admissions, Emergency Department Visits, and Prevention Clinic Referrals

2020 ◽  
Vol 47 (5) ◽  
pp. 693-696 ◽  
Author(s):  
Maria Bres Bullrich ◽  
Sebastian Fridman ◽  
Jennifer L. Mandzia ◽  
Lauren M. Mai ◽  
Alexander Khaw ◽  
...  
Keyword(s):  
Emergency Department ◽  
Stroke Prevention ◽  
Stroke Unit ◽  
Emergency Department Visits ◽  
Related Factors ◽  
Hospital Policies ◽  
The Government ◽  
Stroke Center ◽  
The Impact ◽  
Prevention Clinic

Abstract:We assessed the impact of the coronavirus disease 19 (COVID-19) pandemic on code stroke activations in the emergency department, stroke unit admissions, and referrals to the stroke prevention clinic at London’s regional stroke center, serving a population of 1.8 million in Ontario, Canada. We found a 20% drop in the number of code strokes in 2020 compared to 2019, immediately after the first cases of COVID-19 were officially confirmed. There were no changes in the number of stroke admissions and there was a 22% decrease in the number of clinic referrals, only after the provincial lockdown. Our findings suggest that the decrease in code strokes was mainly driven by patient-related factors such as fear to be exposed to the SARS-CoV-2, while the reduction in clinic referrals was largely explained by hospital policies and the Government lockdown.

scholarly journals Coronavirus disease 2019 is threatening stroke care systems: a real-world study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jiawei Xin ◽  
Xuanyu Huang ◽  
Changyun Liu ◽  
Yun Huang
Keyword(s):  
Real World ◽  
Mainland China ◽  
Stroke Care ◽  
Hospital Length ◽  
Real World Data ◽  
Care Systems ◽  
Long Term Prognosis ◽  
Comprehensive Stroke Center ◽  
Stroke Center ◽  
Medical Burden

Abstract Background Since the onset of the coronavirus disease 2019 (COVID-19) pandemic, the stroke care systems have been seriously affected because of social restrictions and other reasons. As the pandemic continues to spread globally, it is of great significance to understand how COVID-19 affects the stroke care systems in mainland China. Methods We retrospectively studied the real-world data of one comprehensive stroke center in mainland China from January to February 2020 and compared it with the data collected during the same period in 2019. We analyzed DTN time, onset-to-door time, severity, effects after treatment, the hospital length of stays, costs of hospitalization, etc., and the correlation between medical burden and prognosis of acute ischemic stroke (AIS) patients. Results The COVID-19 pandemic was most severe in mainland China in January and February 2020. During the pandemic, there were no differences in pre-hospital or in-hospital workflow metrics (all p>0.05), while the degree of neurological deficit on admission and at discharge, the effects after treatment, and the long-term prognosis were all worse (all p<0.05). The severity and prognosis of AIS patients were positively correlated with the hospital length of stays and total costs of hospitalization (all p<0.05). Conclusions COVID-19 pandemic is threatening the stroke care systems. Measures must be taken to minimize the collateral damage caused by COVID-19.

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