Development and validation of a new pediatric resuscitation and trauma outcome (PRESTO) model using the U.S. National Trauma Data Bank

There is a need for a pediatric trauma outcomes benchmarking model that is adapted for Low-and-Middle-Income Countries (LMICs). We used the National-Trauma-Data-Bank (NTDB) and applied constraints specific to resource-poor environments to develop and validate an LMIC-specific pediatric trauma score. We selected a sample of pediatric trauma patients aged 0–14years in the NTDB from 2007 to 2012. Primary outcome was in-hospital death. Logistic regression was used to create the Pediatric Resuscitation and Trauma Outcome (PRESTO) score, which includes only low-tech predictor variables — those easily obtainable at point-of-care. Internal validation was performed using 10-fold cross-validation. External validation compared PRESTO to TRISS using ROC analyses. Among 651,030 patients, there were 64% males. Median age was 7. In-hospital mortality-rate was 1.2%. Mean TRISS predicted mortality was 0.04% (range 0%–43%). Independent predictors included in PRESTO (p