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Analysis and modelling of mistriage in the Stockholm stroke triage system

Keselman, Boris (author)
Department of Neurology, Karolinska University Hospital, Stockholm, Sweden; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
Berglund, Annika (author)
Karolinska Institutet
Ahmed, Niaz (author)
Karolinska Institutet
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Grannas, David (author)
Unit of Biostatistics, IMM, Karolinska Institutet, Stockholm, Sweden
von Euler, Mia, 1967- (author)
Örebro universitet,Institutionen för medicinska vetenskaper,Department of Clinical Science and Education, Karolinska Institutet Stroke Research Network at Södersjukhuset, Stockholm, Sweden
Holmin, Staffan (author)
Karolinska Institutet
Laska, Ann-Charlotte (author)
Karolinska Institutet
Mathe, Jan M. (author)
Karolinska Institutet
Sjöstrand, Christina (author)
Karolinska Institutet
Eriksson, Einar E. (author)
Department of Neurology, Karolinska University Hospital, Stockholm, Sweden; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
Mazya, Michael, V (author)
Karolinska Institutet
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 (creator_code:org_t)
2022-02-23
2022
English.
In: European Stroke Journal. - : Sage Publications. - 2396-9873 .- 2396-9881. ; 7:2, s. 126-133
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)

Keyword

Stroke
ambulance
thrombectomy
triage
decision curve analysis

Publication and Content Type

ref (subject category)
art (subject category)

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