Workflow Times and Outcomes in Patients Triaged for a Suspected Severe Stroke. Issue 6 (7th September 2022) - García‐Tornel, Álvaro
Abstract : Introduction: Current recommendations for regional stroke destination suggest that patients with severe acute stroke in non‐urban areas should be triaged based on the estimated transport time to a referral thrombectomy‐capable center. Methods: We performed a post hoc analysis to evaluate the association of pre‐hospital workflow times with neurological outcomes in patients included in the RACECAT trial. Workflow times evaluated were known or could be estimated before transport allocation. Primary outcome was the shift analysis on the modified Rankin score at 90 days. Results: Among the 1, 369 patients included, the median time from onset to emergency medical service (EMS) evaluation, the estimated transport time to a thrombectomy‐capable center and local stroke center, and the estimated transfer time between centers were 65 minutes (interquartile ratio [IQR] = 43–138), 61 minutes (IQR = 36–80), 17 minutes (IQR = 9–27), and 62 minutes (IQR = 36–73), respectively. Longer time intervals from stroke onset to EMS evaluation were associated with higher odds of disability at 90 days in the local stroke center group (adjusted common odds ratio (acOR) for each 30‐minute increment = 1.03, 95% confidence interval [CI] = 1.01–1.06), with no association in the thrombectomy‐capable center group (acOR for each 30‐minute increment = 1.01, 95% CI = 0.98–1.01, p interaction = 0.021). No significant interaction was found for other pre‐hospital workflow times. In patients evaluated by EMS later than 120 minutes after stroke onset, direct transport to a thrombectomy‐capable center was associated with better disability outcomes (acOR = 1.49, 95% CI = 1.03–2.17). Conclusion: We found a significant heterogeneity in the association between initial transport destination and neurological outcomes according to the elapse of time between the stroke onset and the EMS evaluation (ClinicalTrials.gov : NCT02795962). ANN NEUROL 2022;92:931–942