Traumatic Pediatric Fatalities: Are They Preventable?

Pediatric Homicides: Not Just a Teenage Problem

INTRODUCTION

Homicide is a leading cause of death for American children. We hypothesized demographics and homicide circumstances would differ by victim age.

METHODS

We performed a retrospective analysis of the 2003-2020 National Violent Death Reporting System. The National Violent Death Reporting System collects data from nearly all 50 states, the District of Columbia, and Puerto Rico. Demographics (age, sex, race, and ethnicity), homicide year, and weapon type were abstracted. Inclusion criteria were pediatric victims (age < 18). Two groups: 0-4 y old (young cohort [YC]) and 13-17 y old (teen cohort [TC]) were compared. Chi-squared tests, p-test, and t-tests with significance P < 0.05 were used to determine the association between victim demographics, cohort, and homicide mechanism.

RESULTS

10,569 pediatric (male: 70.2% [n = 7424], median age: 12 y old [interquartile range 1-16], black: 52.7% [n = 5573]) homicides met inclusion. Homicides demonstrated a bimodal age distribution (YC: 40.9% [n = 4320] versus TC: 48.9% [n = 5164]). Gender and race were both associated with homicide victimhood (P < 0.001). TC homicides were more likely to be male (YC: 57.8% [n = 2496] versus TC: 83.7% [n = 4320], P < 0.001) and black (YC: 40.1% [n = 1730] versus TC: 65.0% [n = 3357], P < 0.001). Pediatric homicides increased from 2018 (n = 1049) to 2020 (n = 1597), with only TC demonstrating a significant increase (2018: n = 522 versus 2020: n = 971, P < 0.001). Homicide mechanism was significantly associated with age (Blunt: YC: 57.5% [n = 2484] versus TC: 2.9% [n = 148], P < 0.001; Penetrating: YC: 7.9% [n = 340] versus TC: 92.8% [n = 4794], P < 0.001).

CONCLUSIONS

Pediatric homicides demonstrate distinct demographic characteristics and homicide mechanisms between two at risk age cohorts. Age-based education and intervention strategies may increase injury prevention programs' efficacy.

Pediatric Trauma Mortality Differs by Neighborhood Opportunity Level

OBJECTIVE

Traumatic injuries are a leading cause of death in children and a child's neighborhood characteristics can be a risk factor. Our objective was to describe the association between pediatric trauma mortality and Child Opportunity Index (COI).

METHODS

A multicenter, retrospective cross-sectional study was conducted across 15 trauma centers from 2010 to 2021 within a large metropolitan county to evaluate trauma activation mortalities involving children <18 years-old. We examined clinical and demographic data from the county trauma registry and linked home zip code to COI, a measure of neighborhood level resources critical for children's development. Proportion of mortalities were compared to the proportion of children within each COI quintile and injury mechanism was evaluated across COI quintile. Analysis was performed using Kruskal-Wallis and chi-square tests (α = 0.05).

RESULTS

Of 31,702 pediatric trauma activations, 513 (1.6%) mortalities occurred. Mortalities mostly resulted from assaults (37.0%), pedestrian injuries (26.7%), and motor-vehicle collisions (18.7%). Of all mortalities, 32.6% were firearm related, either from an assault or self-inflicted. A greater proportion of mortalities were children from very low (47.6%) and low (20.9%) COI neighborhoods with fewer from higher (8.8.% and 7.6%) COI-neighborhoods compared to the county's proportion of children within these quintiles (p < 0.001). The injury mechanisms were different, with mortalities of lower COI neighborhoods being associated with assaults (p = 0.005), while mortalities of higher COI neighborhoods were self-inflicted (p = 0.003).

CONCLUSION

Lower opportunity neighborhoods had a higher incidence of pediatric trauma mortality. Mortality mechanism varied across neighborhoods with assault greater in lower opportunity neighborhoods and self-inflicted among higher opportunity neighborhoods.

LEVEL OF EVIDENCE

Level III.

Prehospital time and mortality in pediatric trauma

PURPOSE

The "Golden Hour" of transportation to a hospital has long been accepted as a central principal of trauma care. However, this has not been studied in pediatric populations. We assessed for non-linearity of the relationship between prehospital time and mortality in pediatric trauma patients, redefining the threshold at which reducing this time led to more favorable outcomes.

METHODS

We performed an analysis of the 2017-2018 American College of Surgeons Trauma Quality Improvement Program, including trauma patients age < 18 years. We examined the association between prehospital time and odds of in-hospital mortality using linear, polynomial, and restricted cubic spline (RCS) models, ultimately selecting the non-linear RCS model as the best fit.

RESULTS

60,670 patients were included in the study, of whom 1525 died and 3074 experienced complications. Prolonged prehospital time was associated with lower mortality and fewer complications. Both models demonstrated that mortality risk was lowest at 45-60 min, after which time was no longer associated with reduced probability of mortality.

CONCLUSIONS

The demonstration of a non-linear relationship between pre-hospital time and patient mortality is a novel finding. We highlight the need to improve prehospital treatment and access to pediatric trauma centers while aiming for hospital transportation within 45 min.

Pediatric trauma mortality in India and the United States: A comparison and risk-adjusted analysis

BACKGROUND

There is a paucity of research comparing pediatric risk-adjusted trauma mortality between high-income and low- and middle-income countries. This limits identification of populations and injury patterns for targeted interventions. We aim to compare independent predictors of pediatric trauma mortality between India and the United States (US).

METHODS

A retrospective cohort study was conducted for pediatric patients (age <18 years) in India's Towards Improved Trauma Care Outcomes (TITCO) project database and the US National Trauma Data Bank (NTDB) from 2013 to 2015. Demographic, injury, physiologic, anatomic and outcome data were analyzed. Multivariable regressions were used to determine independent predictors of mortality.

RESULTS

126,678 pediatric trauma patients were included (India 3,373; US 123,305). Pediatric patients in India were on average significantly younger, with a higher median injury severity score (ISS), had lower systolic blood pressure, and suffered a higher case fatality rate (13.0% vs. 1.0%). When controlling for demographic, mechanism, physiologic, and anatomic injury characteristics, sustaining an injury in India was the strongest predictor of mortality (OR 22.70, 95% CI 18.70-27.56). On subgroup analysis, the highest relative odds of mortality in India was seen in children with lower injury and physiologic severity.

CONCLUSIONS

Risk-adjusted pediatric trauma-related mortality is significantly higher in India compared to the US. The comparative odds of mortality are highest among children with lower injury and physiologic severity. This suggests that low-cost targeted interventions focused on standard timely trauma care, protocols, training and early imaging could improve pediatric injury mortality in India.

TYPE OF STUDY

Retrospective Prognosis Study LEVEL OF EVIDENCE: II.