A predictive model of early mortality in trauma patients

Am J Surg. 2014 May;207(5):642-7; discussion 647. doi: 10.1016/j.amjsurg.2013.12.009. Epub 2014 Jan 31.

Abstract

Background: Rapid thrombelastography (rTEG) is a real-time whole-blood viscoelastic coagulation assay. We hypothesized that admission rTEG and clinical data are independent predictors of trauma-related mortality.

Methods: Prospective observational data (patient demographics, admission vital signs, laboratory studies, and injury characteristics) from trauma patients enrolled within 6 hours of injury were collected. Mann-Whitney U test and analysis of variance test assessed significance (P ≤ .05). Logistic regression analyses determined the association of the studied variables with 24-hour mortality.

Results: Seven hundred ninety-five trauma patients were enrolled, of which 55 died within 24 hours of admission. Admission variables which independently predicted 24-hour mortality were as follows: Glasgow Coma Scale ≤8, hemoglobin <11 g/dL, international normalized ratio >1.5, Ly30 >8%, and penetrating injury (P < .05). This 5-variable model's area under the receiver operator characteristic curve was .88. The Hosmer-Lemeshow goodness-of-fit test was .90.

Conclusions: This 5-variable model provides a rapid prediction of 24-hour mortality. The inclusion of rTEG Ly30 demonstrates the association of fibrinolysis with outcome and may support the early use of antifibrinolytic therapies.

Keywords: Model; Mortality; Thrombelastography; Trauma.

Publication types

  • Clinical Trial
  • Multicenter Study

MeSH terms

  • Adult
  • Decision Support Techniques*
  • Humans
  • Logistic Models
  • Middle Aged
  • Prognosis
  • Prospective Studies
  • ROC Curve
  • Risk Assessment
  • Thrombelastography*
  • Wounds and Injuries / blood
  • Wounds and Injuries / mortality*