Analysis and modelling of mistriage in the Stockholm stroke triage system.

Stroke ambulance decision curve analysis thrombectomy triage

Journal

European stroke journal
ISSN: 2396-9881
Titre abrégé: Eur Stroke J
Pays: England
ID NLM: 101688446

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 25 08 2021
accepted: 13 01 2022
entrez: 1 6 2022
pubmed: 2 6 2022
medline: 2 6 2022
Statut: ppublish

Résumé

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 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. 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 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. Using prehospital data, alternative models did not outperform the SSTS in finding EVT candidates.

Identifiants

pubmed: 35647317
doi: 10.1177/23969873221077845
pii: 10.1177_23969873221077845
pmc: PMC9134772
doi:

Types de publication

Journal Article

Langues

eng

Pagination

126-133

Informations de copyright

© European Stroke Organisation 2022.

Déclaration de conflit d'intérêts

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.

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Auteurs

Boris Keselman (B)

Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Annika Berglund (A)

Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Niaz Ahmed (N)

Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

David Grannas (D)

Unit of Biostatistics, IMM, Karolinska Institutet, Stockholm, Sweden.

Mia von Euler (M)

Department of Clinical Science and Education, Karolinska Institutet Stroke Research Network at Södersjukhuset, Stockholm, Sweden.
School of Medicine, Örebro University, Örebro, Sweden.

Staffan Holmin (S)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden.

Ann-Charlotte Laska (AC)

Department of Clinical Sciences, Danderyd Hospital Karolinska Institutet, Stockholm, Sweden.

Jan M Mathé (JM)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Department of Neurology, Capio St Göran's Hospital, Stockholm, Sweden.

Christina Sjöstrand (C)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Einar E Eriksson (EE)

Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Michael V Mazya (MV)

Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Classifications MeSH