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Analysis and modelling of mistriage in the Stockholm stroke triage system
Author(s) -
Boris Keselman,
Annika Berglund,
Niaz Ahmed,
David Grannas,
Mia von Euler,
Staffan Holmin,
Ann Charlotte Laska,
Jan M. Mathé,
Christina Sjöstrand,
Einar E. Eriksson,
Michael V. Mazya
Publication year - 2022
Publication title -
european stroke journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.446
H-Index - 16
eISSN - 2396-9881
pISSN - 2396-9873
DOI - 10.1177/23969873221077845
Subject(s) - triage , stroke (engine) , medical emergency , medicine , engineering , mechanical engineering
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.

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