Effect of Under Triage on Early Mortality After Major Pediatric Trauma: A Registry-based Propensity Score Matching Analysis

Abstract

Backgroundlittle is known about the effect of under triage on early mortality in trauma in a pediatric population. Our objective is to describe the effect of under triage on 24 hour-mortality after major pediatric trauma in a regional trauma systemMethodsThis cohort study was conducted from January 2009 to December 2017. Data were obtained from the registry of the Northern French Alps Trauma System. The network guidelines triage pediatric trauma patients according to an algorithm shared with adult patients. Under triage was defined by the number of pediatric trauma patients that required specialized trauma care transported to a non-level I pediatric trauma center on the total number of injured patients with critical resource use. The effect of under triage on 24 hour-mortality was assessed with inverse probability treatment weighting (IPTW) and a propensity score (Ps) matching analysis. ResultsA total of 1 143 pediatric patients were included (mean [SD], age 10 [5] years), mainly after a blunt trauma (1130 [99%]). Of the children, 402 (35%) had an ISS higher than 15 and 547 (48%) required specialized trauma care. Nineteen (1.7%) patients died within 24 hours. Under triage rate was 33% based on the need of specialized trauma care. Under triage of children requiring specialized trauma care increased the risk of death in IPTW (risk difference: 6.0 [95% CI 1.3-10.7]) and Ps matching analyses (risk difference: 3.1 [95% CI 0.8-5.4]).ConclusionsIn a regional inclusive trauma system, under triage increased the risk of early death after pediatric major trauma.

Validation of a five-level triage system in pediatric trauma and the effectiveness of triage nurse modification: A multi-center cohort analysis

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Failure to initiate trauma team activation for patients who meet the criteria in a level 1 paediatric trauma centre: which patients are missing out?

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Evaluation of CABS score based on vitals in children at admission for prediction of severity of illness and outcome

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