Improving predictive performance of Early Warning Scores by including trends in observations
The results of this study confirm that, not only can the performance of models predicting clinical deterioration be increased by including trends, but that a logistic regression-based model with very few predictors can predict the risk of deterioration better than current non-trend models. Thus, models incorporating trends have the potential to prevent deterioration in more patients than contemporary early warning scores, however further validation is necessary.
Authors
- David Prytherch (ORCID: https://orcid.org/0000-0003-2621-6451)
- Jim Briggs (ORCID: https://orcid.org/0000-0003-1559-4879)
- Ina Kostakis (ORCID: https://orcid.org/0000-0003-1167-2227)
- Raphael A. Ehmann
Institutions
- Queen Alexandra Hospital (GB)
- University of Portsmouth (GB)
Publication Details
- Journal
- Resuscitation
- Published
- 2025-10-04
- DOI
- https://doi.org/10.1016/j.resuscitation.2025.110853
- Citations
- 1
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.35