Epidemiological analysis of pediatric baseball and softball concussions in United States emergency departments.

PURPOSE: To evaluate the epidemiology of concussions in pediatric baseball and softball players. We hypothesized that head-to-ball injuries would be the most common cause of concussions. METHODS: The National Electronic Injury Surveillance System (NEISS) database was used to gather data. Concussions occurring during baseball and softball participation in pediatric patients (4-17 years old) from 2012 to 2021 was gathered. Concussion mechanisms were grouped into 5 categories: head-to-player, head-to-ball, head-to-surface (ground, walls, railings), head-to-bat, and unknown. Linear regression models were used to assess changes in yearly concussion rates over the study period. Results from these models were reported using parameter estimates and the estimated Pearson correlation coefficient. RESULTS: A weighted total of 54,978 baseball and softball related concussion injuries were analyzed. The average weighted age of our cohort at the time of injury was 13.1 years, with 54.1% (n = 29,761) of concussions occurring in males. The national estimated incidence of concussion injuries decreased non-significantly over the study period (slope estimate = -311 concussions/year, r = -0.625, p-value = 0.054). The majority of weighted national estimate concussions were due to head-to-ball injuries (n = 34,650; 63.0%), followed by head-to-player (n = 8501; 15.5%), head-to-surface (n = 5347; 9.7%), and head-to-bat (n = 5089; 9.3%). On sub-analysis, individuals were grouped into 3 age brackets: 4-8, 9-13, and 14-17 years. The most common mechanism of concussions in children of all ages was head-to-ball. The incidence of head-to-player and head-to-surface injuries increased throughout each age group, while head-to-bat decreased. CONCLUSION: The incidence of concussions in pediatric baseball and softball athletes has been decreasing non-significantly over our 10-year study period. The most common mechanism of concussions in our study was head-to-ball injuries.

Epidemiological analysis of concussions in youth ice hockey players: A national emergency department database study.

PURPOSE: To evaluate the epidemiology of concussions in youth ice hockey players. METHODS: The National Electronic Injury Surveillance System (NEISS) database was used to gather data. Concussions occurring during ice hockey participation in youth patients (4-21 years old) from 2012 to 2021 was gathered. Concussion mechanisms were grouped into 7 categories: head-to-player, head-to-puck, head-to-ice, head-to-board/glass, head-to-stick, head-to-goal post, and unknown. Hospitalization rates were also tabulated. Linear regression models were used to assess changes in yearly concussion and hospitalization rates over the study period. Results from these models were reported using parameter estimates [with 95% confidence intervals (CI)] and the estimated Pearson correlation coefficient. Additionally, logistic regression was used to model the risk of hospitalization across the different cause categories. RESULTS: A total of 819 ice hockey related concussions were analyzed between 2012 and 2021. The average age of our cohort was 13.4 years, with 89.3% (n = 731) of concussions occurring in males. The incidence of head-to-ice, head-to-board/glass, head-to-player, and head-to-puck concussion mechanisms decreased significantly over the study period (slope estimate = -2.1 concussions/year [CI: (-3.9, -0.2)], r = -0.675, p = 0.032), (slope estimate = -2.7 concussions/year [CI: (-4.3, -1.2)], r = -0.816, p = 0.004), (slope estimate = -2.2 concussions/year [CI: (-3.4, -1.0)], r = -0.832, p = 0.003), and (slope estimate = -0.4 concussions/year [CI: (-0.62, -0.09)], r = -0.768, p = 0.016), respectively. Majority of patients were discharged from the emergency department (ED) to their home, as only 20 people (2.4%) were hospitalized over our study period. The majority of concussions were due to head-to-ice (n = 285, 34.8%), followed by head-to-board/glass (n = 217, 26.5%) and head-to-player (n = 207, 25.3%). The most common cause for hospitalizations due to concussions was head-to-board/glass (n = 7, 35%), followed by head-to-player (n = 6, 30%) and head-to-ice (n = 5, 25%). CONCLUSION: The most common mechanism of youth ice hockey concussions was head-to-ice in our 10-year study period, while head-to-board/glass was the most common cause of hospitalizations. IRB: This project did not require review by the institutional review board.

The UCLA Study of Children with Moderate-to-Severe Traumatic Brain Injury: Event-Related Potential Measure of Interhemispheric Transfer Time.

Traumatic brain injury (TBI) frequently results in diffuse axonal injury and other white matter damage. The corpus callosum (CC) is particularly vulnerable to injury following TBI. Damage to this white matter tract has been associated with impaired neurocognitive functioning in children with TBI. Event-related potentials can identify stimulus-locked neural activity with high temporal resolution. They were used in this study to measure interhemispheric transfer time (IHTT) as an indicator of CC integrity in 44 children with moderate/severe TBI at 3-5 months post-injury, compared with 39 healthy control children. Neurocognitive performance also was examined in these groups. Nearly half of the children with TBI had IHTTs that were outside the range of the healthy control group children. This subgroup of TBI children with slow IHTT also had significantly poorer neurocognitive functioning than healthy controls-even after correction for premorbid intellectual functioning. We discuss alternative models for the relationship between IHTT and neurocognitive functioning following TBI. Slow IHTT may be a biomarker that identifies children at risk for poor cognitive functioning following moderate/severe TBI.