Fall height and impact surface in relation to clinically important traumatic brain injury among children under two

Takatoshi Oishi1, Shunsuke Amagasa2, Satoko Uematsu2

  • 1Department of Emergency and Transport Medicine, National Center for Child Health and Development, 2-10-1, Okura, Setagaya-ku, Tokyo 157-8535, Japan; Department of Emergency and Critical Care Medicine, Saitama Medical Center, Jichi Medical University, 1-847, Amanuma-cho, Omiya-ku, Saitama City, Saitama 330-8503, Japan.

Insights

In children under two years, fall height significantly increases the risk of clinically important traumatic brain injury (ciTBI). Impact surface type did not show a significant association with ciTBI risk.

Area of Science:

  • Pediatric Traumatology
  • Neuroscience
  • Public Health

Background:

  • Traumatic brain injury (TBI) is a significant concern in young children.
  • Understanding injury mechanisms is crucial for prevention and management.

Purpose of the Study:

  • To investigate the association between fall height and impact surface with clinically important traumatic brain injury (ciTBI) in children under two years.
  • To determine if fall characteristics predict ciTBI risk in pediatric head trauma cases.

Main Methods:

  • Retrospective cohort study of 1893 children under two years with head trauma.
  • Analysis included fall height (per 10-cm increment) and impact surface type (flooring, soft, hard).
  • Multivariable logistic regression and generalized additive models (GAMs) were used for analysis, adjusting for age.

Main Results:

  • Fall height was significantly associated with ciTBI risk (aOR 1.31 per 10 cm increase).
  • Impact surface type was not significantly associated with ciTBI.
  • Risk of ciTBI increased approximately linearly with fall height.

Conclusions:

  • Fall height is a significant predictor of ciTBI in young children with head trauma.
  • Impact surface type does not appear to be a significant factor in ciTBI risk.
  • The linear association suggests current fall height thresholds may underestimate clinical risk.
Abstract