Prognostic value of admission ROTEM in trauma: enhancing 30-day all-cause mortality prediction using machine learning
A single admission ROTEM test predicted 30-day all-cause mortality with accuracy comparable to traditional trauma scores and outperformed conventional coagulation markers. Integrating ROTEM into established scores significantly enhanced predictive performance. Viscoelastic data appears to hold prognostic information capable of improving long-term trauma outcome assessments.
Authors
- Anders Oldner (ORCID: https://orcid.org/0000-0003-1600-9221)
- Mattias Günther (ORCID: https://orcid.org/0000-0003-2372-6114)
- Carl Henrik Ek (ORCID: https://orcid.org/0000-0003-1302-6309)
- Villiam Vejbrink Kildal (ORCID: https://orcid.org/0000-0002-9767-134X)
- Carl‐Magnus Wahlgren (ORCID: https://orcid.org/0000-0002-9619-3577)
- Agneta Wikman (ORCID: https://orcid.org/0000-0002-8810-7974)
- Martin Dahlberg (ORCID: https://orcid.org/0000-0002-1271-8736)
Institutions
- Karolinska University Hospital (SE)
- University of Cambridge (GB)
- Karolinska Institutet (SE)
- Stockholm South General Hospital (SE)
Publication Details
- Journal
- European Journal of Trauma and Emergency Surgery
- Published
- 2025-10-21
- DOI
- https://doi.org/10.1007/s00068-025-02959-8
- Primary Topic
- Trauma and Emergency Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Karolinska Institutet