Logo

American Heart Association

  1
  0


Final ID: WP92

Prehospital FAST-ED Score Component Agreement to Corresponding In-hospital NIHSS Component Scores

Abstract Body: Background
Emergency Medical Services (EMS) can shorten the time to endovascular treatment by transporting Large Vessel Occlusion (LVO) Acute Ischemic Stroke (AIS) patients directly to thrombectomy centers. The most common prehospital strategy for identifying LVO AIS is performing an LVO screen. In 2019, our county EMS system implemented the Field Assessment Stroke Triage for Emergency Destination (FAST-ED) score as its LVO screen. Our objective was to assess the agreement of the FAST-ED score components performed by the paramedic in the field with the corresponding components of the National Institute of Health Stroke Scale (NIHSS) performed by the hospital neurologist for patients discharged with an ischemic stroke diagnosis.
Methods
From a prospectively maintained database of consecutive patients ≥ 18 years old transported to one of four hospitals by our county EMS agency with a FAST-ED score documented, we conducted a retrospective study of patients diagnosed with AIS for whom the Code Stroke protocol was activated. Corresponding component score agreement was measured using unweighted Fleiss Kappa for the dichotomized measure of facial palsy and quadratic Fleiss’ Kappa for the other ordinal measures. Since ambiguity exists regarding the inclusion of dysarthria without aphasia in the FAST-ED speech changes score, agreement for that component score was compared to dysarthria and/or aphasia.
Results
From September 2019 to March 2024, we identified 829 patients meeting our inclusion criteria. The median time interval from hospital arrival to CT performance as an index of NIHSS performance time was 10 minutes (IQR 8-15). The items with substantial agreement were arm weakness (Kappa=0.676, 95% CI 0.634-0.719) and speech changes defined as dysarthria and/or aphasia (Kappa=0.614, 95% CI 0.562-0.665). Moderate agreement was found for eye deviation (Kappa=0.595, 95% CI 0.536-0.655) and speech changes not including dysarthria (Kappa=0.482, 95% CI 0.427-0.537). There was only fair agreement for facial palsy (Kappa=0.252, 95% CI 0.185-0.319) and denial/neglect (Kappa=0.329, 95% CI 0.259-0.399)
Conclusions
EMS providers may benefit from targeted education in assessing denial/neglect and facial palsy when they are components of LVO screens. The FAST-ED score would benefit from increased clarity regarding the inclusion of isolated dysarthria as scoring positive for a speech change.
  • Asimos, Andrew  ( Atrium Health , Charlotte , North Carolina , United States )
  • Baumgarten, Mark  ( Atrium Health , Charlotte , North Carolina , United States )
  • Strong, Dale  ( Atrium Health , Charlotte , North Carolina , United States )
  • Macko, Lauren  ( Atrium Health , Charlotte , North Carolina , United States )
  • Rhoten, Jeremy  ( Atrium Health , Charlotte , North Carolina , United States )
  • Wang, Tsai-wei  ( Atrium Health , Charlotte , North Carolina , United States )
  • Yang, Hongmei  ( Atrium Health , Charlotte , North Carolina , United States )
  • Swanson, Doug  ( Mecklenburg EMS Agency , Charlotte , North Carolina , United States )
  • Karamchandani, Rahul  ( Atrium Health , Waxhaw , North Carolina , United States )
  • Author Disclosures:
    Andrew Asimos: DO have relevant financial relationships ; Consultant:IiSchemaView, Inc.:Active (exists now) | Mark Baumgarten: DO NOT have relevant financial relationships | Dale Strong: No Answer | Lauren Macko: DO NOT have relevant financial relationships | Jeremy Rhoten: DO NOT have relevant financial relationships | Tsai-Wei Wang: DO NOT have relevant financial relationships | Hongmei Yang: DO NOT have relevant financial relationships | Doug Swanson: DO NOT have relevant financial relationships | Rahul Karamchandani: DO have relevant financial relationships ; Research Funding (PI or named investigator):Genentech:Active (exists now)
Meeting Info:
Session Info:

Cerebrovascular Systems of Care Posters I

Wednesday, 02/05/2025 , 07:00PM - 07:30PM

Poster Abstract Session

More abstracts on this topic:
Comparison of FAST and BE-FAST Performance Among the General Public

Ancheta Selina, Philpot Debra, Reeves Mathew, Witt John, Zachrison Kori, Adeoye Opeolu, Denny Mary Carter, Dunn Mary, Elkind Mitchell, Kleindorfer Dawn, Lane Patricia, Madhok Debbie, Miller-smith Katie, Mohl Stephanie

AI-powered Smartphone-based Quantitative Pupillometry for Reliable Detection of Unreactive “Blown“ Pupils

John Ivo, Manohar Sanjay, Chrapkiewicz Radek, Bogucki Aleksander, Laskowski Michal, Jachura Michal, Swiatek Michal, Chrost Hugo, Wlodarski Michal, Dziubinski Marek, Neffendorf James

More abstracts from these authors:
Association of Hypoperfusion Intensity Ratio, Cerebral Blood Volume Index, and the CRISP2 Collateral Score with Good Outcome for Patients Transferred for Thrombectomy

Asimos Andrew, Hines Andrew, Rhoten Jeremy, Karamchandani Rahul, Yang Hongmei, Strong Dale, Teli Katelynn, Clemente Jonathan, Defilipp Gary, Bernard Joe, Stetler William, Parish Jonathan

Application of a Centralized Media-Based Strategy for Exception from Informed Consent Community Consultation and Public Disclosure in the Pediatric Prehospital Airway Resuscitation Trial

Wang Henry, Bosson Nichole, Leonard Julie, Ward Caleb, Nishijima Daniel, Adelgais Kathleen, Remick Katherine, Gaither Joshua, Colella Riccardo, Swanson Doug, Goldkind Sara, Stephens Shannon, Hansen Matthew, Jacobsen Kammy, Brown Brittany, Elsholz Cara, Frey Jennifer, Vanburen John, Gausche-hill Marianne, Shah Manish

You have to be authorized to contact abstract author. Please, Login
Not Available

Readers' Comments

We encourage you to enter the discussion by posting your comments and questions below.

Presenters will be notified of your post so that they can respond as appropriate.

This discussion platform is provided to foster engagement, and simulate conversation and knowledge sharing.

 

You have to be authorized to post a comment. Please, Login or Signup.


   Rate this abstract  (Maximum characters: 500)