Mortality in children with severe head trauma: predictive factors and proposal for a new predictive scale

Neurosurgery. 2010 Dec;67(6):1542-7. doi: 10.1227/NEU.0b013e3181fa7049.

Abstract

Background: Traumatic brain injury is a public health problem around the world, and recognition of systemic sources of secondary brain lesions is crucial to improve outcome.

Objective: To identify the main predictors of mortality and to propose a grading scale to measure the risk of death.

Methods: This retrospective study was based on medical records of children with severe traumatic brain injury who were hospitalized at a level I pediatric trauma center between January 2000 and December 2005. Multiple logistic regression analysis was done to identify independent factors related to mortality. A receiver-operating characteristics curve was performed to verify the accuracy of the multiple logistic regression, and associations that increased mortality were verified.

Results: We identified 315 children with severe head injury. Median Glasgow Coma Scale score was 6, and median Pediatric Trauma Score was 4. Global mortality rate was 30%, and deaths occurred despite adequate medical management within the first 48 hours in 79% of the patients. Age<2 years (P=.02), Glasgow Coma Scale≤5 (P<10), accidental hypothermia (P=.0002), hyperglycemia (P=.0003), and coagulation disorders (P=.02) were all independent factors predicting mortality. A prognostic scale ranging from 0 to 6 that included these independent factors was then calculated for each patient and resulted in mortality rates ranging from 1% with a score of 6 to 100% with a score of 0.

Conclusion: Independent and modifiable mortality predictors could be identified and used for a new grading scale correlated with the risk of mortality in pediatric traumatic brain injury.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Child
  • Craniocerebral Trauma / epidemiology
  • Craniocerebral Trauma / mortality*
  • Female
  • Humans
  • Incidence
  • Logistic Models
  • Male
  • Predictive Value of Tests
  • Retrospective Studies
  • Trauma Severity Indices
  • Treatment Outcome