Literature DB >> 27342763

Stroke care: initial data from a county-based bypass protocol for patients with acute stroke.

Syed F Zaidi1, Julie Shawver2, Aixa Espinosa Morales1, Hisham Salahuddin1, Gretchen Tietjen1, David Lindstrom2, Brent Parquette3, Andrea Adams4, Andrea Korsnack1, Mouhammad A Jumaa1.   

Abstract

BACKGROUND: Early identification and transfer of patients with acute stroke to a primary or comprehensive stroke center results in favorable outcomes.
OBJECTIVE: To describe implementation and results of an emergency medical service (EMS)-driven stroke protocol in Lucas County, Ohio.
METHOD: All county EMS personnel (N=464) underwent training in the Rapid Arterial oCclusion Evaluation (RACE) score. The RACE Alert (RA) protocol, whereby patients with stroke and a RACE score ≥5 were taken to a facility that offered advanced therapy, was implemented in July 2015. During the 6-month study period, 109 RAs were activated. Time efficiencies, diagnostic accuracy, and mechanical thrombectomy (MT) outcomes were compared with standard 'stroke-alert' (N=142) patients from the preceding 6 months.
RESULTS: An increased treatment rate (25.6% vs 12.6%, p<0.05) and improved time efficiency (median door-to-CT 10 vs 28 min, p<0.05; door-to-needle 46 vs 75 min, p<0.05) of IV tissue plasminogen activator within the RA cohort was achieved. The rate of MT (20.1% vs 7.7%, p=0.06) increased and treatment times improved, including median arrival-to-puncture (68 vs 128 min, p=0.04) and arrival-to-recanalization times (101 vs 205 min, p=0.001) in favor of the RA cohort. A non-significant trend towards improved outcome (50% vs 36.4%, p=0.3) in the RA cohort was noted. The RA protocol also showed improved diagnostic specificity for ischemic stroke (52.3% vs 30.1%, p<0.05).
CONCLUSIONS: Our results indicate that EMS adaptation of the RA protocol within Lucas County is feasible and effective for early triage and treatment of patients with stroke. Using this protocol, we can significantly improve treatment times for both systemic thrombolysis and MT. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  Standards; Stroke

Mesh:

Year:  2016        PMID: 27342763      PMCID: PMC5520240          DOI: 10.1136/neurintsurg-2016-012476

Source DB:  PubMed          Journal:  J Neurointerv Surg        ISSN: 1759-8478            Impact factor:   5.836


Background

Mechanical thrombectomy (MT) was recently established as the standard treatment for eligible patients with acute stroke and emergent large vessel occlusion in the anterior circulation.1 The positive effect of this treatment is time dependent with a more likely chance of achieving a favorable outcome in patients who have early recanalization.2 3 To incorporate these recent findings into clinical practice, experts recommended improving stroke systems of care to increase timely and equitable access to this therapy.4 Over the past year, several major medical centers have attempted to streamline regional systems of care for early stroke recognition and transfer of patients with severe stroke to facilities that offer advanced therapy.5 Although it is recommended that patients with stroke should be transported to the closest primary or comprehensive stroke center,6 there is no standard clinical criterion for this process. On-site evaluation by the emergency medical service (EMS) squad using the Rapid Arterial oCclusion Evaluation (RACE) scale was validated as a simple prehospital tool that can accurately assess stroke severity and identify patients with acute stroke due to large vessel occlusion.7 Using this strategy, we reorganized our EMS stroke triage protocol in Lucas County in northwest Ohio to improve timely access to patients who might benefit from MT. In this study, we describe the implementation of this protocol and report the initial 6 months' results and outcomes.

Methods

Located in northwest Ohio, Lucas County is spread over 596 square miles and has an estimated population of 436 393. The county has eight hospitals, of which six centers have Joint Commission primary stroke center (PSC) designation (figure 1). Three of these hospitals have additional interventional capacity (PSC-IC). Of the three hospitals with PSC-IC in the Lucas County, our stroke team operates at two facilities: University of Toledo Medical Center and Promedica Toledo Hospital. Thus, we report our findings and outcomes of patients presenting at these two centers.
Figure 1

Lucas County stroke centers.

Lucas County stroke centers.

EMS training

Lucas County EMS leadership formed a local prehospital stroke care committee to design and monitor the educational content of a stroke training module. Over 10 individual sessions, vascular neurologists provided comprehensive training and materials using the approved stroke training module to all 464 Lucas County EMS paramedic personnel. The training material included a 2-hour lecture on acute stroke syndromes, stroke mimics, and prehospital management. This was followed by a 2-hour interactive session with video demonstration of the RACE score and hands-on RACE scale assessment using mock patients. The RACE Alert (RA) protocol was implemented in Lucas County on July 1, 2015. The protocol is outlined in figure 2. After potential stroke identification using the Cincinnati Stroke Scale, EMS personnel conduct the RACE scale assessment. All patients who are last seen normal within 12 hours or wake up with stroke symptoms or have an undetermined timeline of stroke symptoms, and who also meet a RACE scale threshold ≥5 are emergently transferred as RA patients to the nearest hospital with PSC-IC, bypassing closer emergency centers, if any.
Figure 2

Lucas County Rapid Arterial oCclusion Evaluation (RACE) Alert protocol. CAD, coronary artery disease; CVA, cerebrovascular accident; ED, emergency department.

Lucas County Rapid Arterial oCclusion Evaluation (RACE) Alert protocol. CAD, coronary artery disease; CVA, cerebrovascular accident; ED, emergency department.

Emergency center protocols

We also established emergency room (ER) protocols for patients presenting as RA (figure 3). Our processes include pre-arrival notification by the EMS personnel with time last known well, expected time to the ER, and RACE score. This notification is sent as an RA page to the vascular and interventional neurologists on call, stroke nurse, ER, neuro intensive care unit (ICU), pharmacy, laboratory, and radiology departments. Patients are preregistered with a unique ID in the electronic medical record system. After a brief assessment by the ER physician, patients are rapidly moved to the radiology department for head CT scan and CT angiography of the neck and head. The stroke nurse accompanies the patient to the scanner. We cancel CT angiography if an ischemic stroke is ruled out by the time the CT head is completed.
Figure 3

Emergency room protocol. ED, emergency department; EMS, emergency medical service; NIHSS, National Institutes of Health Stroke Scale; PT/INR, prothrombin time/international normalized ratio; RACE, Rapid Arterial oCclusion Evaluation; RN, registered nurse.

Emergency room protocol. ED, emergency department; EMS, emergency medical service; NIHSS, National Institutes of Health Stroke Scale; PT/INR, prothrombin time/international normalized ratio; RACE, Rapid Arterial oCclusion Evaluation; RN, registered nurse.

Data collection

We obtained institutional review board approval to maintain a prospective registry of all stroke alert (SA) and RA patients. Data include demographics, vascular risk factors, RACE score, National Institutes of Health Stroke Scale (NIHSS) score, diagnosis, treatments/procedures, and clinical and radiographic outcomes. A NIHSS certified neuro ICU nurse (stroke nurse) determines the NIHSS score on presentation. The neurointerventionalist determines the baseline Alberta Stroke Program Early CT Score (ASPECT) and post-thrombectomy Thrombolysis in Cerebral Infarction (TICI) recanalization grade. Clinical outcomes are assessed using the modified Rankin Scale (mRS) score obtained by a mRS certified investigator at the 90 days' clinic follow-up appointment. For patients who cannot come to the clinic, we assess the mRS score by a phone interview. Favorable clinical outcome is defined as a mRS score of ≤2. The control group consisted of SA patients brought directly to PSC-IC ER in the 6 months before RA protocol activation— that is, January 1 through June 30, 2015. According to our previous protocol, the ER team activated ‘SA’ for patients with suspected stroke who had a NIHSS score >3 and who were last known well within the past 12 hours. To ensure adequate comparison, only patients transferred by the Lucas County EMS squad were included in the analysis. We excluded from the control group, patients with stroke transferred from outlying facilities, arriving at the ER by private transportation, or developing stroke while hospitalized. The control group for MT consisted of SA patients who presented directly to our PSC-IC centers and patients who were transported by Lucas County EMS squads to other county ERs before they were transferred to our PSC-IC centers for thrombectomy.

Statistical analysis

Statistical analysis was performed using Stata 11 (StataCorp LP, College Stanton, Texas, USA). The aim of this analysis was to assess the operation of RA protocol and to compare the time efficiencies and clinical outcomes of the RA and SA cohorts. Mann–Whitney or t-tests were used for comparison of continuous variables and χ2 or Fisher exact tests for categorical variables. We evaluated the correlation between NIHSS scores and RACE scales using a non-parametric Spearman coefficient.

Results

Demographics

During the 6-month study period from July 1 through December 31, 2015, there were 293 Lucas County life squad stroke transports and 135 RACE alerts. Of these, 109 RAs were brought to our two PSC-IC ERs. In the preceding 6 months, between January 1 and June 30, 142 SAs were activated in our two PSC-IC ERs and were included in this analysis. Baseline patient demographics are outlined in table 1. Compared with the control group, the RA patients were older (72.5 vs 65 years, p=0.02) with higher median NIHSS score (12 vs 5, p<0.05) on presentation. The median 911 activation time to arrival was 31 min in the RA group.
Table 1

Baseline demographics, diagnosis, and treatment times

RACE alerts (N=109)Stroke alerts (N=142)p Value
Median age (IQR)72.5 (61–81)65 (55–79)0.02
Gender (female (%))61 (56.0)71 (50)0.3
Median NIHSS (IQR)12 (7–18)5 (2–10)<0.05
Median RACE score (IQR)6 (5–8)NA
Diagnosis, N (%)<0.05
 Ischemic stroke57 (52.3)44 (30.1)
 ICH12 (11)8 (5.6)
 Seizures19 (17.4)14 (9.9)
 TIA7 (6.4)23 (16.2)
 Encephalopathy6 (5.5)12 (8.3)
 Others8 (7.3)41 (28.9)
Disposition from ER (N (%))
 ICU68 (62.4)56 (39.4)<0.05
 Step-down unit37 (33.9)86 (60.6)<0.05
 Hospice4 (3.7)0
IV tPA (N (%))28 (25.7)18 (12.7)<0.05
Times (min), median (IQR)
 911 Dispatch to ER31 (22–38)32 (20–51)0.06
 Door to CT completion10 (5–16)28 (20–41)<0.05
 Door to tPA46 (28–55)75 (60–95)<0.05
Mechanical thrombectomy, N (%)22 (20.2)11 (7.7)0.03
Times (min), median (IQR)
 Onset to arrival71 (37–560)128 (91–207)0.3
 Arrival to CT8.5 (6–15)15 (7–17)0.3
 Arrival to puncture68 (60–93)128 (101–142)0.04
 Arrival to recanalization101 (88–118)205 (131–218)0.001
IV tPA+MT, N (%)13 (59.1)7 (63.6)0.3
Occlusion site, N (%)
 ICA terminus6 (26.1)3 (27.3)0.7
 MCA13 (56.5)6 (54.5)0.9
 Only MCA M22 (8.7)2 (18.2)0.6
 Tandem2 (8.7)0
90-Day MT outcome, N (%)
 mRS 0–211 (50)4 (36.4)0.3
 Mortality3 (14.3)3 (27.2)0.1

ER, emergency room; ICA, internal carotid artery; ICH, intracerebral hemorrhage; ICU, intensive care unit; MCA, middle cerebral artery; mRS, modified Rankin Scale score; MT, mechanical thrombectomy; NIHSS, National Institutes of Health Stroke Scale; RACE, Rapid Arterial oCclusion Evaluation; TIA, transient ischemic attack; tPA, tissue plasminogen activator.

Baseline demographics, diagnosis, and treatment times ER, emergency room; ICA, internal carotid artery; ICH, intracerebral hemorrhage; ICU, intensive care unit; MCA, middle cerebral artery; mRS, modified Rankin Scale score; MT, mechanical thrombectomy; NIHSS, National Institutes of Health Stroke Scale; RACE, Rapid Arterial oCclusion Evaluation; TIA, transient ischemic attack; tPA, tissue plasminogen activator.

IV thrombolysis

Among the RA cohort, 28 (25.7%) patients received IV tissue plasminogen activator (tPA) while 18 (12.7%) of the SA patients were treated with IV tPA (p<0.05). The median time (in minutes) from door to CT scan was 10 (IQR 5–16) for the RA patients and 28 (IQR 20–41) for the control group (p<0.05). For patients receiving IV tPA, the median door to needle time was 46 (IQR 28–55) in the RA arm as compared with 75 (IQR 60–95) for the SA patients (p<0.05).

Mechanical thrombectomy

In 2015, we performed 85 thrombectomies at the two PSC-IC ERs. We identified for analysis 11 subjects meeting MT control criteria during the first half of 2015, and 22 RA subjects during the latter half of the year. Five of the 11 patients in the MT control group were transferred from other Lucas County ERs. Among RACE patients who underwent MT (table 1), we found that median time (in minutes) from ER arrival to groin puncture (68 (IQR 60–93) vs 128 (IQR 101–142), p=0.04) and time to recanalization (101 (IQR 88–118) vs 205 (IQR 131–218), p<0.05) were significantly faster than for SA patients (figure 3). No statistically significant difference was found in the rate of successful recanalization (TICI 2b/3 recanalization 86.4% vs 81.2%, p=0.7) or favorable clinical outcome (50% vs 36.4%, p=0.3). The RA thrombectomy cohort showed a strong correlation between presentation NIHSS score and RACE scores (Spearman's r 0.69, p<0.05).

Hospital course

The RA patients were more likely than the SA patients to have a discharge diagnosis of acute ischemic stroke (52.3% vs 31%, p<0.05). Other diagnoses in the RA cohort included intracranial bleeding (N=12, 11%) and seizures (N=19, 17.4%). Rapid symptom resolution was noted in 7 (6.4%) patients who were diagnosed as having transient ischemic attacks. Of patients presenting as RA, 68 (62.4%) required admission to the ICU.

Discussion

Owing to the significant implications of a protocol that recommends bypassing stroke-ready hospitals or primary stroke centers, it is imperative that it is well studied in the community it will affect. Our results indicate that in northwest Ohio Lucas County, EMS adaptation of the RACE protocol is a feasible and highly effective tool for early in-field assessment and bypass/transfer decision for patients with acute stroke symptoms. It resulted in shorter door-to-needle time in patients who received IV tPA, shorter door-to-recanalization time, and a trend towards improved clinical outcome and decreased mortality in patients who underwent MT. A strong correlation was found between the RACE score obtained by the EMS and the NIHSS score obtained in the emergency department in the MT group (Spearman's r 0.69, p<0.05). No major adverse effects of this diversion were reported during the study period and the median dispatch to arrival time remained within the recommended time limit.6 EMS personnel were instructed to go to the closest hospital if there was a safety concern or if delay was expected, but no such cases were reported. This triage protocol did not seem to have influenced the final destination of most patients. Of the 109 RA patients, 22 (20.2%) were eventually diagnosed with emergent large vessel occlusion requiring rescue MT. An additional 14 (12.8%) were treated with IV tPA only. Of the remainder, 32 (29.4%) still required admission to a neuro ICU for management of various conditions, including seizures and intracerebral hemorrhages. If taken to the closest community hospital ER, we estimate that 72 (66.1%) would have been transferred to tertiary care hospitals. Approximately 31% of patients in this cohort were diagnosed with a stroke mimic. This is significantly higher than the 12.6% rate reported in the initial RACE experience.7 Compared with other studies,8–10 stroke mimics were identified with a similar frequency when the initial assessment was performed in the emergency department in our SA cohort. Most stroke mimics were seizures and encephalopathy, and additional training may be required to decrease this rate. Patients with seizures or symmetric weakness will not be declared RAs in the next phase of our protocol implementation. The biggest impact of this protocol was on the door-to-needle time for IV tPA and the door-to-recanalization time for patients who underwent MT. Several centers have recently reported data from mobile stroke units as an alternative early triage tool for patients with acute stroke. Although both approaches are still in the early stages, MT rates are fairly comparable to those achieved by the mobile stroke units, with better door-to-recanalization times achieved in our cohort.11 Additionally, our fastest door-to-needle time of 16 min suggests that there remains room for improvement to better our median treatment times. Our study is limited by the number of patients treated during the study period. Also, our unique geographic setting with several PSC-IC ERs in a small county may not be generalizable to other regions. Finally, our process improvements within the ER setting and the suboptimal efficiency of our old process are major confounding factors as they may have independently contributed to time improvements seen in the RA cohort.
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Review 1.  Endovascular clot retrieval therapy: implications for the organization of stroke systems of care in North America.

Authors:  Eric E Smith; Lee H Schwamm
Journal:  Stroke       Date:  2015-05-05       Impact factor: 7.914

Review 2.  Developing a statewide protocol to ensure patients with suspected emergent large vessel occlusion are directly triaged in the field to a comprehensive stroke center: how we did it.

Authors:  Mahesh V Jayaraman; Arshad Iqbal; Brian Silver; Matthew S Siket; Caryn Amedee; Ryan A McTaggart; Gino Paolucci; Jason Rhodes; John Potvin; Megan Tucker; Nicole Alexander-Scott
Journal:  J Neurointerv Surg       Date:  2016-03-03       Impact factor: 5.836

3.  Time to angiographic reperfusion and clinical outcome after acute ischaemic stroke: an analysis of data from the Interventional Management of Stroke (IMS III) phase 3 trial.

Authors:  Pooja Khatri; Sharon D Yeatts; Mikael Mazighi; Joseph P Broderick; David S Liebeskind; Andrew M Demchuk; Pierre Amarenco; Janice Carrozzella; Judith Spilker; Lydia D Foster; Mayank Goyal; Michael D Hill; Yuko Y Palesch; Edward C Jauch; E Clarke Haley; Achala Vagal; Thomas A Tomsick
Journal:  Lancet Neurol       Date:  2014-04-27       Impact factor: 44.182

4.  A randomized trial of intraarterial treatment for acute ischemic stroke.

Authors:  Olvert A Berkhemer; Puck S S Fransen; Debbie Beumer; Lucie A van den Berg; Hester F Lingsma; Albert J Yoo; Wouter J Schonewille; Jan Albert Vos; Paul J Nederkoorn; Marieke J H Wermer; Marianne A A van Walderveen; Julie Staals; Jeannette Hofmeijer; Jacques A van Oostayen; Geert J Lycklama à Nijeholt; Jelis Boiten; Patrick A Brouwer; Bart J Emmer; Sebastiaan F de Bruijn; Lukas C van Dijk; L Jaap Kappelle; Rob H Lo; Ewoud J van Dijk; Joost de Vries; Paul L M de Kort; Willem Jan J van Rooij; Jan S P van den Berg; Boudewijn A A M van Hasselt; Leo A M Aerden; René J Dallinga; Marieke C Visser; Joseph C J Bot; Patrick C Vroomen; Omid Eshghi; Tobien H C M L Schreuder; Roel J J Heijboer; Koos Keizer; Alexander V Tielbeek; Heleen M den Hertog; Dick G Gerrits; Renske M van den Berg-Vos; Giorgos B Karas; Ewout W Steyerberg; H Zwenneke Flach; Henk A Marquering; Marieke E S Sprengers; Sjoerd F M Jenniskens; Ludo F M Beenen; René van den Berg; Peter J Koudstaal; Wim H van Zwam; Yvo B W E M Roos; Aad van der Lugt; Robert J van Oostenbrugge; Charles B L M Majoie; Diederik W J Dippel
Journal:  N Engl J Med       Date:  2014-12-17       Impact factor: 91.245

5.  Design and validation of a prehospital stroke scale to predict large arterial occlusion: the rapid arterial occlusion evaluation scale.

Authors:  Natalia Pérez de la Ossa; David Carrera; Montse Gorchs; Marisol Querol; Mònica Millán; Meritxell Gomis; Laura Dorado; Elena López-Cancio; María Hernández-Pérez; Vicente Chicharro; Xavier Escalada; Xavier Jiménez; Antoni Dávalos
Journal:  Stroke       Date:  2013-11-26       Impact factor: 7.914

6.  Guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association.

Authors:  Edward C Jauch; Jeffrey L Saver; Harold P Adams; Askiel Bruno; J J Buddy Connors; Bart M Demaerschalk; Pooja Khatri; Paul W McMullan; Adnan I Qureshi; Kenneth Rosenfield; Phillip A Scott; Debbie R Summers; David Z Wang; Max Wintermark; Howard Yonas
Journal:  Stroke       Date:  2013-01-31       Impact factor: 7.914

7.  Distinguishing between stroke and mimic at the bedside: the brain attack study.

Authors:  Peter J Hand; Joseph Kwan; Richard I Lindley; Martin S Dennis; Joanna M Wardlaw
Journal:  Stroke       Date:  2006-02-16       Impact factor: 7.914

8.  Identification of nonischemic stroke mimics among 411 code strokes at the University of California, San Diego, Stroke Center.

Authors:  Thomas M Hemmen; Brett C Meyer; Teri L McClean; Patrick D Lyden
Journal:  J Stroke Cerebrovasc Dis       Date:  2008 Jan-Feb       Impact factor: 2.136

9.  Benefits of Stroke Treatment Using a Mobile Stroke Unit Compared With Standard Management: The BEST-MSU Study Run-In Phase.

Authors:  Ritvij Bowry; Stephanie Parker; Suja S Rajan; Jose-Miguel Yamal; Tzu-Ching Wu; Laura Richardson; Elizabeth Noser; David Persse; Kamilah Jackson; James C Grotta
Journal:  Stroke       Date:  2015-10-27       Impact factor: 7.914

10.  2015 American Heart Association/American Stroke Association Focused Update of the 2013 Guidelines for the Early Management of Patients With Acute Ischemic Stroke Regarding Endovascular Treatment: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association.

Authors:  William J Powers; Colin P Derdeyn; José Biller; Christopher S Coffey; Brian L Hoh; Edward C Jauch; Karen C Johnston; S Claiborne Johnston; Alexander A Khalessi; Chelsea S Kidwell; James F Meschia; Bruce Ovbiagele; Dileep R Yavagal
Journal:  Stroke       Date:  2015-06-29       Impact factor: 10.170

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1.  Cincinnati Prehospital Stroke Scale Can Identify Large Vessel Occlusion Stroke.

Authors:  Christopher T Richards; Ryan Huebinger; Katie L Tataris; Joseph M Weber; Laura Eggers; Eddie Markul; Leslee Stein-Spencer; Kenneth S Pearlman; Jane L Holl; Shyam Prabhakaran
Journal:  Prehosp Emerg Care       Date:  2018-01-03       Impact factor: 3.077

2.  Implementation of a Prehospital Stroke Triage System Using Symptom Severity and Teleconsultation in the Stockholm Stroke Triage Study.

Authors:  Michael V Mazya; Annika Berglund; Niaz Ahmed; Mia von Euler; Staffan Holmin; Ann-Charlotte Laska; Jan M Mathé; Christina Sjöstrand; Einar E Eriksson
Journal:  JAMA Neurol       Date:  2020-06-01       Impact factor: 18.302

Review 3.  Imaging of acute ischemic stroke.

Authors:  Scott Rudkin; Russell Cerejo; Ashis Tayal; Michael F Goldberg
Journal:  Emerg Radiol       Date:  2018-07-06

Review 4.  Prehospital Prediction of Large Vessel Occlusion in Suspected Stroke Patients.

Authors:  Kevin J Keenan; Charles Kircher; Jason T McMullan
Journal:  Curr Atheroscler Rep       Date:  2018-05-21       Impact factor: 5.113

5.  Validation of Stroke Network of Wisconsin Scale at Aurora Health Care System.

Authors:  Kessarin Panichpisal; Maharaj Singh; Adil Chohan; Paul Vilar; Reji Babygirija; Mary Hook; Sharon Matyas; Nathaniel Kojis; Rehan Sajjad; Thomas Wolfe; Amin Kassam; Richard Adam Rovin
Journal:  J Vasc Interv Neurol       Date:  2018-11

Review 6.  Systematic Review of Existing Stroke Guidelines: Case for a Change.

Authors:  Tissa Wijeratne; Carmela Sales; Chanith Wijeratne; Leila Karimi; Mihajlo Jakovljevic
Journal:  Biomed Res Int       Date:  2022-06-15       Impact factor: 3.246

7.  Los Angeles Motor Scale to Identify Large Vessel Occlusion: Prehospital Validation and Comparison With Other Screens.

Authors:  Ali Reza Noorian; Nerses Sanossian; Kristina Shkirkova; David S Liebeskind; Marc Eckstein; Samuel J Stratton; Franklin D Pratt; Robin Conwit; Fiona Chatfield; Latisha K Sharma; Lucas Restrepo; Miguel Valdes-Sueiras; May Kim-Tenser; Sidney Starkman; Jeffrey L Saver
Journal:  Stroke       Date:  2018-02-19       Impact factor: 7.914

8.  Effects of state-wide implementation of the Los Angeles Motor Scale for triage of stroke patients in clinical practice.

Authors:  Stefanie Behnke; Thomas Schlechtriemen; Andreas Binder; Monika Bachhuber; Mark Becker; Benedikt Trauth; Martin Lesmeister; Elmar Spüntrup; Silke Walter; Lukas Hoor; Andreas Ragoschke-Schumm; Fatma Merzou; Luca Tarantini; Thomas Bertsch; Jürgen Guldner; Achim Magull-Seltenreich; Frank Maier; Christoph Massing; Volkmar Fischer; Michael Gawlitza; Katrin Donnevert; Hans-Michael Lamberty; Stefan Jung; Matthias Strittmatter; Silke Tonner; Johannes Schuler; Robert Liszka; Stefan Wagenpfeil; Iris Q Grunwald; Wolfgang Reith; Klaus Fassbender
Journal:  Neurol Res Pract       Date:  2021-06-01

9.  Pomona Large Vessel Occlusion Screening Tool for Prehospital and Emergency Room Settings.

Authors:  Kessarin Panichpisal; Kenneth Nugent; Maharaj Singh; Richard Rovin; Reji Babygirija; Yogesh Moradiya; Karen Tse-Chang; Kimberly A Jones; Katrina J Woolfolk; Debbie Keasler; Bhupat Desai; Parinda Sakdanaraseth; Paphavee Sakdanaraseth; Alimohammad Moalem; Nazli Janjua
Journal:  Interv Neurol       Date:  2018-02-13

10.  New Prehospital Triage for Stroke Patients Significantly Reduces Transport Time of EVT Patients Without Delaying IVT.

Authors:  Martin Cabal; Linda Machova; Daniel Vaclavik; Petr Jasso; David Holes; Ondrej Volny; Michal Bar
Journal:  Front Neurol       Date:  2021-06-11       Impact factor: 4.003

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