Comparing NEWS2, TRISS, and RTS in predicting mortality rate in trauma patients based on prehospital data set: a diagnostic study
This novel study compares the accuracy of NEWS2, TRISS, and RTS scoring systems in predicting mortality rate based on prehospital data. The findings suggest that all the scoring systems can predict mortality, with TRISS being the most accurate of them, followed by NEWS2. Considering the time consumption and ease of use, NEWS2 seems to be accurate and quick in predicting mortality based on prehospital data set.
Authors
- Mehrdad Karajizadeh (ORCID: https://orcid.org/0000-0002-9297-3488)
- Shahram Paydar (ORCID: https://orcid.org/0000-0002-6980-2576)
- Mohammad Reza Yousefi (ORCID: https://orcid.org/0000-0002-9873-0946)
- Mehdi Ghasemian (ORCID: https://orcid.org/0009-0005-8101-650X)
Institutions
- Shiraz University of Medical Sciences (IR)
Publication Details
- Journal
- BMC Emergency Medicine
- Published
- 2024-09-09
- DOI
- https://doi.org/10.1186/s12873-024-01084-w
- Citations
- 9
- Primary Topic
- Trauma and Emergency Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 6.22