Analysis and modelling of mistriage in the Stockholm stroke triage systemShow others and affiliations
2022 (English)In: European Stroke Journal, ISSN 2396-9873, E-ISSN 2396-9881, Vol. 7, no 2, p. 126-133Article in journal (Refereed) Published
Abstract [en]
Introduction: The Stockholm Stroke Triage System (SSTS) is a prehospital triage system for detection of patients eligible for endovascular thrombectomy (EVT). Assessment of hemiparesis combined with ambulance-hospital teleconsultation is used to route patients directly to the thrombectomy centre. Some patients are not identified and require secondary transport for EVT (undertriage) while others taken to the thrombectomy centre do not undergo EVT (overtriage). The aims of this study were to characterize mistriaged patients, model for and evaluate alternative triage algorithms.
Patients and methods: Patients with suspected stroke transported by priority 1 ground ambulance between October 2017 and October 2018 (n = 2905) were included. Three triage algorithms were modelled using prehospital data. Decision curve analysis was performed to calculate net benefit (correctly routing patients for EVT without increasing mistriage) of alternative models vs SSTS.
Results: Undertriage for EVT occurred in n = 35/2582 (1.4%) and overtriage in n = 239/323 (74.0%). Compared to correct thrombectomy triages, undertriaged patients were younger and had lower median NIHSS (10 vs 18), despite 62.9% with an M1 occlusion. In overtriaged patients, 77.0% had a stroke diagnosis (29.7% haemorrhagic). Hemiparesis and FAST items face and speech were included in all models. Decision curve analysis showed highest net benefit for SSTS for EVT, but lower for large artery occlusion (LAO) stroke.
Discussion: Undertriaged patients had lower NIHSS, likely due to better compensated proximal occlusions. SSTS was superior to other models for identifying EVT candidates, but lacked information allowing comparison to other prehospital scales.
Conclusion: Using prehospital data, alternative models did not outperform the SSTS in finding EVT candidates.
Place, publisher, year, edition, pages
Sage Publications, 2022. Vol. 7, no 2, p. 126-133
Keywords [en]
Stroke, ambulance, thrombectomy, triage, decision curve analysis
National Category
Cardiology and Cardiovascular Disease
Identifiers
URN: urn:nbn:se:oru:diva-98278DOI: 10.1177/23969873221077845ISI: 000763503300001PubMedID: 35647317Scopus ID: 2-s2.0-85125492831OAI: oai:DiVA.org:oru-98278DiVA, id: diva2:1647702
Funder
Stockholm County CouncilSwedish Heart Lung Foundation
Note
Funding agencies:
Söderberg Foundations
MedTechLabs
2022-03-282022-03-282025-02-10Bibliographically approved