Background Survivors of trauma are at increased risk of dying after discharge. Studies have
found that age, head injury, injury severity, falls and co-morbidities predict long-term …

Background Trauma registries usually report 30-day or in-hospital mortality as an outcome
measure. However, some studies criticize this measure as inadequate; the impact of a major …

Background For real-time assessment of the probability of survival (Ps) of blunt trauma
victims at emergency centers, this study aimed to establish regression models for estimating …

Background: The present study explored a range of variables to identify predictors of
mortality and morbidity and to develop prediction models based on these variables …

Aim This research aimed to propose a logistic regression model for Japanese blunt trauma
victims. Methods We tested whether the logistic regression model previously created from …

Background Trauma is the leading cause of death in individuals younger than 40 years.
There are many different models for predicting patient outcome following trauma. To our …

Background The purpose of this study was to determine the statistical model that best
predicted mortality from blunt trauma using a contemporary population-based database …

Introduction The overestimation of survival predictions in the ageing trauma population
results in negative benchmark numbers in hospitals that mainly treat elderly patients. The …

Background: Despite serious documented limitations, the Trauma Injury Severity Score
(TRISS) is still used for risk adjustment in trauma system evaluation and clinical research …

Abstract Purpose Hong Kong (HK) trauma registries have been using the Trauma and Injury
Severity Score (TRISS) for audit and benchmarking since their introduction in 2000. We …