Related Experiment Video
Updated: Feb 13, 2026

Severe Burn Injury in a Swine Model for Clinical Dressing Assessment
Published on: November 6, 2018
Mortality in severe trauma patients attended by emergency services in Navarre, Spain: validation of a new prediction
Bismil Ali Ali1, Rolf Lefering2, Mariano Fortún Moral3
1Servicio de Urgencias del Complejo Hospitalario de Navarra, Servicio Navarro de Salud-Osasunbidea, Pamplona, España.
Objectives:
To validate the Mortality Prediction Model of Navarre (MPMN) to predict death after severe trauma and compare it to the Revised Injury Severity Classification Score II (RISCII).
Material And Methods:
Retrospective analysis of a cohort of severe trauma patients (New Injury Severity Score >15) who were attended by emergency services in the Spanish autonomous community of Navarre between 2013 and 2015. The outcome variable was 30-day all-cause mortality. Risk was calculated with the MPMN and the RISCII. The performance of each model was assessed with the area under the receiver operating characteristic (ROC) curve and precision with respect to observed mortality. Calibration was assessed with the Hosmer-Lemeshow test.
Results:
We included 516 patients. The mean (SD) age was 56 (23) years, and 363 (70%) were males. Ninety patients (17.4%) died within 30 days. The 30-day mortality rates predicted by the MPMN and RISCII were 16.4% and 15.4%, respectively. The areas under the ROC curves were 0.925 (95% CI, 0.902-0.952) for the MPMN and 0.941 (95% CI, 0.921-0.962) for the RISCII (P=0.269, DeLong test). Calibration statistics were 13.6 (P=.09) for the MPMN and 8.9 (P=.35) for the RISCII.
Conclusion:
Both the MPMN and the RISCII show good ability to discriminate risk and predict 30-day all-cause mortality in severe trauma patients.
Related Concept Videos
Reliability and Validity
The Sense of Self: Reflected Self-Appraisal and Social Comparison
Emerging Adulthood
Pharmacokinetic Models: Comparison and Selection Criterion
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Introduction to z Scores
z scores...
Introduction to z Scores
z scores...

