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Updated: Nov 29, 2025

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
Published on: January 15, 2017
Factors affecting time between symptom onset and emergency department arrival in stroke patients
Scott M Le1,2,3, Laurel A Copeland4,5, John E Zeber6
1Duke Health, Department of Neurology, Division of Vascular Neurology and Stroke, 40 Duke Medicine, Circle, Durham, NC 27710, United States of America.
Background And Purpose:
Delays in seeking care compromise diagnosis, treatment options, and outcomes in ischemic strokes. This study identified factors associated with time between stroke symptom onset and emergency department (ED) arrival at a private nonprofit medical center serving a large rural catchment area in central Texas, with the goal of identifying symptomatic, demographic, and historical factors that might influence seeking care.
Methods:
Demographic and clinical data from a large tertiary care center's Get With The Guidelines (GWTG) database were evaluated in 1874 patients presenting to the ED with a diagnosis of transient ischemic attack (TIA), intracranial hemorrhage, subarachnoid hemorrhage, or ischemic stroke. The dependent variable was time between discovery of stroke symptoms and presentation at the hospital (time-to-ED). Factors entered into regression models predicting time-to-ED within 4 h or categorical time-to-ED.
Results:
The average time from symptom onset to presentation was 15.0 h (sd = 23.2), with 43.6% of the sample presenting within 4 h of symptom onset. Results suggested that female gender (Odds Ratio [OR] = 0.70; 95% Confidence Interval [CI] 0.23-0.74), drug abuse (OR = 0.41; CI 0.23-0.74), and diabetes were significantly associated with longer time to presentation.
Conclusions:
A combination of demographics, stroke severity, timing, and health history contributes to delays in presenting for treatment for ischemic stroke. Stroke education concentrating on symptom recognition may benefit from a special focus on high-risk individuals as highlighted in this study.
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