Mechanism of Injury Differentiates Risk Factors for Mortality in Geriatric Trauma Patients

J Orthop Trauma. 2015 Jul;29(7):331-6. doi: 10.1097/BOT.0000000000000281.

Abstract

Objectives: To evaluate the relationship between mechanism of injury and mortality in geriatric trauma patients and the ability of existing injury severity indices (ISIs) to assess mortality.

Design: Retrospective review.

Setting: Urban level 1 trauma center.

Participants: Four thousand five hundred forty-five trauma patients age ≥55 presenting between 2008 and 2011.

Intervention: Low-energy (LE-GTP) and high-energy (HE-GTP) geriatric trauma patient cohorts were created based on ICD-9 injury codes. Existing ISIs were evaluated for their ability to predict in-hospital mortality using the area under the receiver-operating characteristic curve (AUROC).

Main outcome measures: Mortality.

Results: The Trauma Score-Injury Severity Score (TRISS) was the most predictive ISI for both cohorts and was deemed to have moderate predictive capacity (AUROC: 0.82) in LE-GTP and excellent predictive capacity (AUROC: 0.91) in the HE-GTP. For, HE-GTP each 1-year increase in age was associated with a 12% increase risk of mortality versus 6% for LE-GTP. Preexisting conditions (PECs) were distributed differently between the cohorts with significantly more PECs in the LE-GTP (P < 0.01).

Conclusions: Existing ISIs have fair-to-moderate predictive capacity for in-hospital morality in LE-GTPs and moderate-to-excellent predictive capacity in HE-GTPs. LE-GTPs and HE-GTPs are distinct cohorts that should be evaluated separately. Combining the cohorts underestimates both the effect of age on HE-GTPs and the effect of PECs on LE-GTPs while overestimating the effect of PECs on HE-GTPs.

Level of evidence: Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Female
  • Geriatric Assessment
  • Hospital Mortality*
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Models, Statistical
  • Outcome Assessment, Health Care
  • ROC Curve
  • Retrospective Studies
  • Risk Factors
  • Sensitivity and Specificity
  • Survival Rate
  • Trauma Severity Indices*
  • Wounds and Injuries / classification*
  • Wounds and Injuries / mortality*