Abstract WP171: Improving EMS FAST-ED: Recognition Of Cortical Signs And Incorporation Of Risk Factors

Background: The FAST-ED scale is used prehospital to identify ischemic strokes due to large vessel occlusion (LVO). Its real-world accuracy when applied by EMS is uncertain. Mapping NIHSS elements to FAST-ED provides a standardized reference. We aimed to quantify discrepancies between EMS and NIHSS-derived FAST-ED, evaluate documentation patterns, and test whether incorporating vascular risk factors improves discrimination. Methods: We retrospectively reviewed 58 ischemic stroke patients transported by EMS with documented FAST-ED scores. NIHSS elements from the initial hospital exam were mapped to FAST-ED to create a reference standard. Underscored (EMS < NIHSS) and overscored (EMS > NIHSS) cases were identified, and EMS narratives analyzed for documentation patterns. Discrimination for LVO was assessed using AUC, sensitivity, specificity, PPV, and NPV at prespecified cut-offs. Logistic regression models tested the added predictive value of atrial fibrillation (AFib), diabetes (DM), and anticoagulation (AC). Results: Fifteen patients had LVO. EMS underscored 12 and overscored 27 relative to NIHSS-derived FAST-ED. Narratives emphasized “weakness” and “slurred speech” but rarely described cortical signs; neglect was never documented despite present in 9 NIHSS-derived cases. At FAST-ED ≥4, EMS sensitivity was 47% and specificity 83% (PPV 50%, NPV 80%), while NIHSS-derived achieved 53% and 90% (PPV 67%, NPV 84%). Alternative thresholds improved sensitivity: EMS ≥3 reached 67%/58%, NIHSS ≥3 reached 73%/78%. AUCs were 0.655 for EMS FAST-ED and 0.788 for NIHSS-derived. Adding risk factors improved discrimination: EMS +AFib 0.672, +DM 0.763, +AC 0.730, all three 0.773. NIHSS-derived FAST-ED +DM reached 0.858, all three 0.864. Conclusions: EMS FAST-ED often under-recognized cortical features and substituted non-protocol elements, reducing sensitivity. Incorporating structured cortical assessments and readily available risk factors improved discrimination and represents a practical opportunity to strengthen prehospital LVO triage.

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Journal
Stroke
Published
2026-01-29
DOI
https://doi.org/10.1161/str.57.suppl_1.wp171
Primary Topic
Acute Ischemic Stroke Management
Type
article
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article

Abstract WP171: Improving EMS FAST-ED: Recognition Of Cortical Signs And Incorporation Of Risk Factors

Brett C. Meyer, Kush Agrawal, Dawn Meyer, Ting Hu et al.
Stroke
Acute Ischemic Stroke Management
article

Abstract WP171: Improving EMS FAST-ED: Recognition Of Cortical Signs And Incorporation Of Risk Factors

Brett C. Meyer, Kush Agrawal, Dawn Meyer, Ting Hu, Royya Modir, Sanad Batarseh, Cattien Phan, Teneille Geib, Reza Bavarsad Shahripour, Marissa D'Souza, Karen Rapp, Thomas Hemmen
article en

Abstract

Background: The FAST-ED scale is used prehospital to identify ischemic strokes due to large vessel occlusion (LVO). Its real-world accuracy when applied by EMS is uncertain. Mapping NIHSS elements to FAST-ED provides a standardized reference. We aimed to quantify discrepancies between EMS and NIHSS-derived FAST-ED, evaluate documentation patterns, and test whether incorporating vascular risk factors improves discrimination. Methods: We retrospectively reviewed 58 ischemic stroke patients transported by EMS with documented FAST-ED scores. NIHSS elements from the initial hospital exam were mapped to FAST-ED to create a reference standard. Underscored (EMS < NIHSS) and overscored (EMS > NIHSS) cases were identified, and EMS narratives analyzed for documentation patterns. Discrimination for LVO was assessed using AUC, sensitivity, specificity, PPV, and NPV at prespecified cut-offs. Logistic regression models tested the added predictive value of atrial fibrillation (AFib), diabetes (DM), and anticoagulation (AC). Results: Fifteen patients had LVO. EMS underscored 12 and overscored 27 relative to NIHSS-derived FAST-ED. Narratives emphasized “weakness” and “slurred speech” but rarely described cortical signs; neglect was never documented despite present in 9 NIHSS-derived cases. At FAST-ED ≥4, EMS sensitivity was 47% and specificity 83% (PPV 50%, NPV 80%), while NIHSS-derived achieved 53% and 90% (PPV 67%, NPV 84%). Alternative thresholds improved sensitivity: EMS ≥3 reached 67%/58%, NIHSS ≥3 reached 73%/78%. AUCs were 0.655 for EMS FAST-ED and 0.788 for NIHSS-derived. Adding risk factors improved discrimination: EMS +AFib 0.672, +DM 0.763, +AC 0.730, all three 0.773. NIHSS-derived FAST-ED +DM reached 0.858, all three 0.864. Conclusions: EMS FAST-ED often under-recognized cortical features and substituted non-protocol elements, reducing sensitivity. Incorporating structured cortical assessments and readily available risk factors improved discrimination and represents a practical opportunity to strengthen prehospital LVO triage.

StrokeVol. 57(Suppl_1)
University of California San Diego (US)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 74%
Acute Ischemic Stroke Management
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