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J Burn Care Res ; 42(6): 1087-1092, 2021 11 24.
Article in English | MEDLINE | ID: mdl-34137860

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.


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