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Updated: Jan 30, 2026

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
Published on: January 18, 2018
Personalized Prehospital Triage in Acute Ischemic Stroke
Esmee Venema1,2, Hester F Lingsma1, Vicky Chalos1,2,3
1From the Department of Public Health (E.V., H.F.L., V.C., E.W.S.), Erasmus MC University Medical Center, Rotterdam, the Netherlands.
The best prehospital stroke care strategy depends on large vessel occlusion risk and travel times. Direct transport to intervention centers benefits patients when large vessel occlusion likelihood is high, especially in rural areas.
Area of Science:
- Neurology
- Emergency Medicine
- Health Services Research
Background:
- Prehospital transportation for acute ischemic stroke (AIS) involves a trade-off between rapid endovascular treatment access and potential delays in intravenous thrombolysis.
- Optimizing patient transfer strategies is crucial for improving outcomes in AIS.
Purpose of the Study:
- To determine the optimal prehospital transportation strategy for AIS patients.
- To identify factors influencing the decision between primary stroke centers and more distant intervention centers.
Main Methods:
- A decision tree model was developed to compare outcomes based on patient characteristics, location, and workflow times.
- Scenarios included base case (20 vs. 45 min), urban (10 vs. 20 min), and rural (30 vs. 90 min) driving times.
- Sensitivity analyses considered door-to-needle, door-to-groin, and door-in-door-out times.
Main Results:
- Direct transport to an intervention center improved outcomes when the probability of large vessel occlusion (LVO) was >33% in the base case.
- At 66% LVO likelihood, direct transport yielded a benefit of 0.10 quality-adjusted life years (36 days).
- Urban and rural scenarios showed LVO risk thresholds of 24% and 49% respectively for direct intervention center transport benefit.
Conclusions:
- The optimal prehospital stroke triage strategy is personalized, depending on LVO likelihood, travel duration, and hospital workflow efficiency.
- A decision model can guide personalized prehospital triage, particularly beneficial for remote populations.
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