We provide a systematic overview of literature on prediction models for mortality in the Emergency Department (ED). We searched various databases for observational studies in the ED or similar setting describing prediction models for short-term mortality (up to 30 days or in-hospital mortality) in a non-trauma population. We used the CHARMS-checklist for quality assessment. We found a total of 14.768 articles and included 17 articles, describing 22 models. Model performance ranged from AUC 0.63-0.93. Most articles had a moderate risk of bias in one or more domains. The full model and PARIS model performed best, but are not yet ready for implementation. There is a need for validation studies to compare multiple prediction models and to evaluate their accuracy.

Additional Metadata
Persistent URL hdl.handle.net/1765/119830
Journal Acute medicine
Rights no subscription
Citation
Brink, A, Alsma, J, Fortuin, A.W. (A. W.), Bramer, W.M, Zietse, R, Lingsma, H.F, & Klein Nagelvoort-Schuit, S.C.E. (2019). Prediction models for mortality in adult patients visiting the Emergency Department: a systematic review. Acute medicine, 18(3), 171–183. Retrieved from http://hdl.handle.net/1765/119830