Nonsurvival Distributions in Pediatric Burn Patients: A Comparative Study of Two National Databases

J Burn Care Res. 2021 Nov 24;42(6):1087-1092. doi: 10.1093/jbcr/irab112.

Abstract

A contemporary, age-specific model for the distribution of burn mortality in children has not been developed for over a decade. Using data from TriNetX, a global federated health research network, and the American Burn Association's Nation Burn Repository (NBR), we investigated nonsurvival distributions for pediatric burns in the United States. Pediatric burn patients aged 0 to 20 between 2010 and 2020 were identified in TriNetX from 41 Healthcare Organizations using ICD-10 codes (T.20-T.30) and identified as lived/died. These were compared to the nonsurvival data from 90 certified burn centers in the NBR database between 2016 and 2018. The patient population was stratified by age into subgroups of 0 to 4, 5 to 9, 10 to 14, and 15 to 20 years. Overall, mortality rates for pediatric burn patients were found to be 0.62% in NBR and 0.52% in TrinetX. Boys had a higher incidence of mortality than girls in both databases (0.34% vs 0.28% NBR, P = .13; 0.31% vs 0.21% TriNetX, P < .001). Comparison of ethnic cohorts between 2010 to 2015 and 2016 to 2020 subgroups showed that nonsurvival rates of African American children increased relative to white children (TriNetX, P < .001); however, evidence was insufficient to conclude that African American children die more frequently than other ethnicities (NBR, P = .054). When analyzing subgroups in TriNetX, burned children aged 5 to 9 had significantly increased frequency of nonsurvival (P < .001). However, NBR data suggested that children aged 0 to 4 experience the highest frequency of mortality (P < .001). The nonsurvival distributions between these two large databases accurately reflect nonsurvival rates in burned children.

MeSH terms

  • Adolescent
  • Age Distribution
  • Burns / mortality*
  • Burns, Inhalation / mortality
  • Cause of Death
  • Child
  • Child, Preschool
  • Databases, Factual
  • Female
  • Humans
  • Infant
  • Male
  • Models, Statistical
  • Multiple Trauma / mortality*
  • Registries*
  • Risk Factors
  • Sex Distribution
  • United States