Anatomical Injury Clusters in Polytrauma Patients

Area of Science:

• Trauma Surgery
• Emergency Medicine
• Injury Epidemiology

Background:

• Polytrauma significantly contributes to mortality in young adults.
• Effective strategical operational planning is crucial for acute polytrauma management.
• Understanding interlinked anatomical injury regions can optimize patient care.

Purpose of the Study:

• To identify clusters of interlinked anatomical regions in polytrauma patients.
• To improve strategical operational planning in the acute management of severe injuries.
• To analyze the predictive value of combined injuries for patient outcomes.

Main Methods:

• Retrospective cohort study of 2219 polytrauma patients (Injury Severity Score ≥ 16, age ≥ 16).
• Pearson's correlation analysis of Abbreviated Injury Scale (AIS) groups.
• Receiver Operating Curve (ROC) analysis to assess predictive quality.
• Binary logistic regression to test injury independency, with AIS ≥ 3 indicating significant injury.

Main Results:

• The combination of thorax, abdomen, pelvis, and spine injuries demonstrated the highest predictive value (ROC areas ranging from 0.608 to 0.651).
• Binary logistic regression identified thorax, abdomen, pelvis, and spine as mutually independent predictors when injuries exceeded AIS ≥ 3.
• These anatomical regions form significant injury clusters in truncal trauma.

Conclusions:

• Documented clusters of injuries in truncal trauma are critical for prioritizing polytrauma management.
• The findings support the integration of anatomical injury patterns into acute care protocols.
• Identifying these injury clusters aids in resource allocation and treatment strategies for severe trauma.