Trauma and Injury Severity Score

Trauma and Injury Severity Score predicts mortality in humans (trauma) (AUC 0.800 (95% CI, 0.784-0.815)).

“The areas under the curve (AUCs) were 0.832 [95% confidence interval (CI), 0.817-0.846] and 0.800 (95% CI, 0.784-0.815) for GTOS and TRISS, respectively.”

Humanstrauman = 2,586

Predicting Mortality of Korean Geriatric Trauma Patients: A Comparison between Geriatric Trauma Outcome Score and Trauma and Injury Severity Score

Yonsei medical journal·Dec 17, 2021

Trauma and Injury Severity Score predicts mortality in humans (moderate-to-severe traumatic brain injury) (AUC 0.95, sensitivity 94%, specificity 80%).

“Best cutoff point for predicting mortality in elderly TBI patients using TRISS system was a score of ≤88 (sensitivity 94%, specificity of 80%, and area under ROC curve 0.95)”

Humansmoderate-to-severe traumatic brain injuryn = 104

Prediction of Outcome Based on Trauma and Injury Severity Score, IMPACT and CRASH Prognostic Models in Moderate-to-Severe Traumatic Brain Injury in the Elderly

Asian journal of neurosurgery·Sep 14, 2021

Trauma and Injury Severity Score predicts mortality in humans (geriatric trauma patients) (AUC = 0.82, 95% CI: 0.77-0.87).

“The pooled AUROC of the TRISS (AUC = 0.82, 95% CI: 0.77-0.87) was higher than ISS (AUC = 0.74, 95% CI: 0.71-0.79) and GTOS”

Reviewgeriatric trauma patientsn = 118,761

Performance of trauma scoring systems in predicting mortality in geriatric trauma patients: comparison of the ISS, TRISS, and GTOS based on a systemic review and meta-analysis

European journal of trauma and emergency surgery : official publication of the European Trauma Society·Feb 16, 2024