Literature DB >> 30668202

Performance of the RACE Score for the Prehospital Identification of Large Vessel Occlusion Stroke in a Suburban/Rural EMS Service.

Robert L Dickson, Remle P Crowe, Casey Patrick, Kevin Crocker, Michael Aiken, Andrew Adams, Guy R Gleisberg, Tyler Nichols, Christopher Mason, Ashish R Panchal.   

Abstract

Introduction: Emergency Medical Services (EMS) providers may identify and preferentially transport patients experiencing large vessel occlusion (LVO) stroke to appropriate treatment centers. The Rapid Arterial oCclusion Evaluation (RACE) scale was created for prehospital LVO detection, yet few studies have evaluated its function in real-world EMS settings. Our objective was to assess the prehospital performance of the RACE scale for detecting LVO stroke following implementation at a large suburban/rural agency in the United States.
Methods: In this retrospective analysis, all 9-1-1 patients with an EMS provider primary or secondary impression of stroke treated by the agency between June 1, 2016 and November 1, 2017 were eligible for inclusion. Patient data were abstracted using a standardized form completed by receiving hospitals. Performance for LVO detection at each RACE cutoff value was evaluated using sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). A receiver operating characteristic (ROC) curve was used to evaluate the discrimination of the RACE scale overall. A secondary analysis of RACE for patients experiencing strokes best treated at comprehensive stroke centers (LVO and intracerebral hemorrhage [ICH]) was conducted.
Results: There were 440 patients with a documented RACE score and hospital outcome data included in the analysis. About half (51%, n = 220) were female and the median age was 70 years (IQR: 59-81). Last known well time was under 4.5 hours for 76% of patients (n = 261). Over half (61%, n = 269) had a hospital discharge diagnosis of stroke and 64/440 (15%) were classified as LVO. The ROC curve demonstrated adequate discrimination with a c-statistic of 0.72. Performance for identifying LVO in the prehospital setting was greatest for RACE scores ≥5 with a sensitivity of 66% and specificity of 72%, PPV of 29%, and NPV of 93%. A RACE score ≥5 for both LVO and ICH demonstrated sensitivity: 63%, specificity: 77%, PPV: 47% and NPV: 86%.
Conclusion: The RACE scale demonstrated acceptable discrimination, yet the sensitivity and positive predictive value were lower in this cohort of EMS professionals in the United States than in the original validation study conducted in Spain. Further work is needed to determine the optimal prehospital screening tool for identification of LVO.

Entities:  

Keywords:  RACE score; cerebrovascular accident; emergency medical services; large vessel occlusion

Mesh:

Year:  2019        PMID: 30668202     DOI: 10.1080/10903127.2019.1573281

Source DB:  PubMed          Journal:  Prehosp Emerg Care        ISSN: 1090-3127            Impact factor:   3.077


  7 in total

1.  Electroencephalography Might Improve Diagnosis of Acute Stroke and Large Vessel Occlusion.

Authors:  Fareshte Erani; Nadezhda Zolotova; Benjamin Vanderschelden; Nima Khoshab; Hagop Sarian; Laila Nazarzai; Jennifer Wu; Bharath Chakravarthy; Wirachin Hoonpongsimanont; Wengui Yu; Babak Shahbaba; Ramesh Srinivasan; Steven C Cramer
Journal:  Stroke       Date:  2020-09-18       Impact factor: 7.914

2.  Test characteristics of a 5-element cortical screen for identifying anterior circulation large vessel occlusion ischemic strokes.

Authors:  Jessica Hoglund; Dale Strong; Jeremy Rhoten; Brenda Chang; Rahul Karamchandani; Connell Dunn; Hongmei Yang; Andrew W Asimos
Journal:  J Am Coll Emerg Physicians Open       Date:  2020-07-24

3.  Long-term implementation of a prehospital severity scale for EMS triage of acute stroke: a real-world experience.

Authors:  Mouhammad A Jumaa; Alicia C Castonguay; Hisham Salahuddin; Julie Shawver; Linda Saju; Richard Burgess; Vieh Kung; Diana E Slawski; Gretchen Tietjen; David Lindstrom; Brent Parquette; Andrea Korsnack; Kimberly Cole; Ehad Afreen; Kunaal Bafna; Syed F Zaidi
Journal:  J Neurointerv Surg       Date:  2019-07-02       Impact factor: 5.836

4.  Modeling the Impact of Prehospital Triage on a True-Life Drip and Ship Mechanical Thrombectomy Urban Patient Cohort.

Authors:  Stavros Matsoukas; Brian Giovanni; Liorah Rubinstein; Shahram Majidi; Laura K Stein; Johanna T Fifi
Journal:  Cerebrovasc Dis Extra       Date:  2021-11-25

5.  Design and validation of a new scale for prehospital evaluation of stroke and large vessel occlusion.

Authors:  Yanqi Shao; Zheyu Zhang; Bo Jin; Jingsi Xu; Deqing Peng; Yu Geng; Jungen Zhang; Sheng Zhang
Journal:  Ther Adv Neurol Disord       Date:  2022-06-30       Impact factor: 6.430

6.  Exploratory study to assess feasibility of intracerebral hemorrhage detection by point of care cranial ultrasound.

Authors:  Aarti Sarwal; Yash Patel; Ralph D'Agostino; Patrick Brown; Stacey Q Wolfe; Cheryl Bushnell; Casey Glass; Pamela Duncan
Journal:  Ultrasound J       Date:  2022-10-17

7.  Central Triage of Acute Stroke Patients Across a Distributive Stroke Network Is Safe and Reduces Transfer Denials.

Authors:  Derek Holder; Kevin Leeseberg; James A Giles; Sheyda Namazie; Andria L Ford; Jin-Moo Lee
Journal:  Stroke       Date:  2021-06-22       Impact factor: 10.170

  7 in total

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