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September 5, 2025British journal of surgery

SP1.14 Big Data Analysis of Survival Predictors in Major Trauma: Age-stratified Patterns of Injury, Clinical Parameters, and Healthcare Delivery Metrics in 8,300 Patients

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Authors

BDBhavesh DevkaranEJEleanor JamesOROlga Rutka

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Overview

Retrospective cohort study reveals strong links between age, injury patterns, and healthcare delivery metrics in trauma patients.

Key Points

  • Age significantly impacts survival rates, declining from 95.7% (<35 years) to 85.6% (>75 years).
  • Multivariate analysis found multiple injuries in 98.89% of patients, with adjusted odds ratio of 1.83 indicating higher survival with multiple injuries.
  • Time to intervention showed a median CT time of 27 minutes, with consultant presence increasing survival odds by 1.92.
  • ROC analysis demonstrated excellent model performance with AUC of 0.89, suggesting reliable predictive capabilities.

Cite This Study

Devkaran et al. (2025) studied this question.

synapsesocial.com/papers/68bb3a432b87ece8dc9554bfhttps://doi.org/10.1093/bjs/znaf166.020
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The Effect of Increasing Age on Outcomes in Major Trauma: A Retrospective Cohort Study2026
  2. 2SP1.12 Predictors of Survival in Geriatric Organ Injuries: A TELA Supported Analyses2025
  3. 3Associations of undertriage on trauma care processes and mortality across age groups2025
  4. 4Predictors of mortality for blunt trauma patients in intensive care: A retrospective cohort study2024
  5. 5Predictors of mortality for blunt trauma patients in intensive care: A retrospective cohort study2024