What question did this study set out to answer?

The study aims to evaluate the clinical impact of a personalized prehospital stroke triage algorithm on stroke outcomes.

453: A Novel Algorithm for Prehospital Stroke Triage: A Population-Based in Silico Trial

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Population-based in silico trial evaluates a new algorithm improving stroke outcomes, suggesting clinical implications.

The study aims to evaluate the clinical impact of a personalized prehospital stroke triage algorithm on stroke outcomes.
Developed the MAP-STROKE algorithm using clinical trials data.
Simulated stroke events in the U.S. over a 10-year period.
Compared MAP-STROKE triage to AHA guidelines and nearest hospital routing.
Utilized a diagnostic model for stroke subtype and a treatment model for neurologic outcomes.
MAP-STROKE aligned with AHA guidelines in 39.6% of cases.
Improved good neurologic outcomes by 0.5% over AHA and 0.7% over nearest hospital routing.
For large vessel occlusion patients, neurologic improvement was 4.8% better than AHA guidelines.
Rural LVO patients saw an 8.3% increase in good outcomes compared to AHA measures.
Notably reduced time to thrombectomy by 76.5 minutes versus AHA guidelines.

Mohr et al. (2026) studied this question.

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