Prognostic model for traumatic death due to bleeding: cross-sectional international study

Area of Science:

• Emergency Medicine
• Trauma Surgery
• Clinical Epidemiology

Background:

• Hemorrhagic shock is a leading cause of death in trauma patients.
• Accurate prediction of bleeding risk is crucial for timely intervention and resource allocation.
• Existing prognostic tools may not be universally applicable across diverse trauma populations.

Purpose of the Study:

• To develop and validate a prognostic model for predicting in-hospital death due to bleeding in trauma patients.
• To create a simplified model using readily available clinical variables for practical application.
• To assess the models' performance in diverse international trauma cohorts.

Main Methods:

• A cross-sectional study utilizing multivariable logistic regression analysis.
• Data sourced from two large trauma cohorts: the Clinical Randomisation of Anti-fibrinolytic in Significant Haemorrhage (CRASH-2) trial and the Northern French Alps Trauma registry.
• Models were validated using a cross-validation procedure by country.

Main Results:

• The full prognostic model incorporated age, systolic blood pressure (SBP), Glasgow Coma Scale (GCS), heart rate, respiratory rate, and injury type.
• A simpler model included age, SBP, and GCS, demonstrating comparable predictive accuracy.
• Both models exhibited adequate discrimination and calibration, with pooled C-statistics of 0.85 for the full model and 0.84 for the simple model.

Conclusions:

• The developed prognostic models effectively identify trauma patients at high risk of death from bleeding.
• These models are validated for use in various settings, supporting prehospital triage and trauma audits.
• The findings can inform clinical decision-making and resource management in severe trauma cases.