Rationale for the Development of a Traumatic Brain Injury Case Definition for the Pilot National Concussion Surveillance System.

BACKGROUND: Current methods of traumatic brain injury (TBI) morbidity surveillance in the United States have primarily relied on hospital-based data sets. However, these methods undercount TBIs as they do not include TBIs seen in outpatient settings and those that are untreated and undiagnosed. A 2014 National Academy of Science Engineering and Medicine report recommended that the Centers for Disease Control and Prevention (CDC) establish and manage a national surveillance system to better describe the burden of sports- and recreation-related TBI, including concussion, among youth. Given the limitations of TBI surveillance in general, CDC took this recommendation as a call to action to formulate and implement a robust pilot National Concussion Surveillance System that could estimate the public health burden of concussion and TBI among Americans from all causes of brain injury. Because of the constraints of identifying TBI in clinical settings, an alternative surveillance approach is to collect TBI data via a self-report survey. Before such a survey was piloted, it was necessary for CDC to develop a case definition for self-reported TBI. OBJECTIVE: This article outlines the rationale and process the CDC used to develop a tiered case definition for self-reported TBI to be used for surveillance purposes. CONCLUSION: A tiered TBI case definition is proposed with tiers based on the type of sign/symptom(s) reported the number of symptoms reported, and the timing of symptom onset.

Refinement of a Preliminary Case Definition for Use in Traumatic Brain Injury Surveillance.

OBJECTIVE: Current methods used to measure incidence of traumatic brain injury (TBI) underestimate its true public health burden. The use of self-report surveys may be an approach to improve these estimates. An important step in public health surveillance is to define a public health problem using a case definition. The purpose of this article is to outline the process that the Centers for Disease Control and Prevention undertook to refine a TBI case definition to be used in surveillance using a self-report survey. SETTING: Survey. PARTICIPANTS: A total of 10 030 adults participated via a random digit-dial telephone survey from September 2018 to September 2019. MAIN MEASURES: Respondents were asked whether they had sustained a hit to the head in the preceding 12 months and whether they experienced a series of 12 signs and symptoms as a result of this injury. DESIGN: Head injuries with 1 or more signs/symptoms reported were initially categorized into a 3-tiered TBI case definition (probable TBI, possible TBI, and delayed possible TBI), corresponding to the level of certainty that a TBI occurred. Placement in a tier was compared with a range of severity measures (whether medical evaluation was sought, time to symptom resolution, self-rated social and work functioning); case definition tiers were then modified in a stepwise fashion to maximize differences in severity between tiers. RESULTS: There were statistically significant differences in the severity measure between cases in the probable and possible TBI tiers but not between other tiers. Timing of symptom onset did not meaningfully differentiate between cases on severity measures; therefore, the delayed possible tier was eliminated, resulting in 2 tiers: probable and possible TBI. CONCLUSION: The 2-tiered TBI case definition that was derived from this analysis can be used in future surveillance efforts to differentiate cases by certainty and from noncases for the purpose of reporting TBI prevalence and incidence estimates. The refined case definition can help researchers increase the confidence they have in reporting survey respondents' self-reported TBIs as well as provide them with the flexibility to report an expansive (probable + possible TBI) or more conservative (probable TBI only) estimate of TBI prevalence.

Using machine learning to discover traumatic brain injury patient phenotypes: national concussion surveillance system Pilot.

OBJECTIVE: The objective is to determine whether unsupervised machine learning identifies traumatic brain injury (TBI) phenotypes with unique clinical profiles. METHODS: Pilot self-reported survey data of over 10,000 adults were collected from the Centers for Disease Control and Prevention (CDC)'s National Concussion Surveillance System (NCSS). Respondents who self-reported a head injury in the past 12 months (n = 1,364) were retained and queried for injury, outcome, and clinical characteristics. An unsupervised machine learning algorithm, partitioning around medoids (PAM), that employed Gower's dissimilarity matrix, was used to conduct a cluster analysis. RESULTS: PAM grouped respondents into five TBI clusters (phenotypes A-E). Phenotype C represented more clinically severe TBIs with a higher prevalence of symptoms and association with worse outcomes. When compared to individuals in Phenotype A, a group with few TBI-related symptoms, individuals in Phenotype C were more likely to undergo medical evaluation (odds ratio [OR] = 9.8, 95% confidence interval[CI] = 5.8-16.6), have symptoms that were not currently resolved or resolved in 8+ days (OR = 10.6, 95%CI = 6.2-18.1), and more likely to report at least moderate impact on social (OR = 54.7, 95%CI = 22.4-133.4) and work (OR = 25.4, 95%CI = 11.2-57.2) functioning. CONCLUSION: Machine learning can be used to classify patients into unique TBI phenotypes. Further research might examine the utility of such classifications in supporting clinical diagnosis and patient recovery for this complex health condition.

The Role of Level of Play in Concussions in High School Athletes.

OBJECTIVES: To examine level of play (LOP) as a risk factor for concussion severity and recovery-related outcomes among high school athletes, stratified by sex, and among boys, by sport (football, non-football male sports). DESIGN/SETTING: Secondary analysis of data collected through the High School Reporting Information Online surveillance system for academic years 2007-2008 through 2018-2019. PARTICIPANTS: A total of 9916 concussions were reported between the academic years 2007-2008 and 2018-2019 from 9 sports (5189 from football; 2096 from non-football male sports; 2631 from female sports). MAIN OUTCOME MEASURE: Examined the association between LOP (Freshman, Junior Varsity [JV], and Varsity teams) and concussion outcomes (number of concussion symptoms, symptom resolution time [SRT], and time to return to play [RTP]). RESULTS: Compared with Varsity football athletes, concussed JV football athletes had on average 0.19 fewer concussion symptoms, longer SRT (>1 week vs <1 week: odds ratio [OR] = 1.3; 95% confidence interval [CI], 1.1-1.5), and longer RTP (1-3 weeks vs <1 week: OR = 1.5; 95% CI, 1.2-1.9; >3 weeks vs <1 week: OR = 1.6; 95% CI, 1.1-2.3). Compared with Varsity football athletes, Freshman football athletes had on average 0.48 fewer concussion symptoms, longer SRT (OR = 1.3; 95% CI, 1.1-1.5), and longer RTP (1-3 weeks vs <1 week: OR = 1.5; 95% CI, 1.1-2.0; >3 weeks vs <1 week: OR = 2.0; 95% CI, 1.3-3.0). Similarly, compared with female athletes on Varsity teams, concussed JV female athletes had longer RTP (1-3 weeks vs <1 week: OR = 1.8; 95% CI, 1.2-2.7). Trend analyses revealed an increase in the number of concussion symptoms between 2015-2016 and 2018-2019, a decrease between 2009-2010 and 2018-2019 for SRT of less than 1 week, and an increase between 2014-2015 and 2018-2019 for RTP of less than 1 week among Varsity football athletes. Among Varsity female athletes, there was a linear decrease during the study period for RTP of less than 1 week. CONCLUSIONS: Despite a higher number of symptoms overall and in recent years, Varsity football players had shorter RTP than Freshman and JV athletes.

Neuroimaging for mild traumatic brain injury in children: cross-sectional study using national claims data.

BACKGROUND: Current guidelines recommend healthcare professionals avoid routine use of neuroimaging for diagnosing mild traumatic brain injury (mTBI). OBJECTIVE: This study aimed to examine current use of CT and MRI among children and young adult patients with mTBI and factors that increase likelihood of neuroimaging in this population. MATERIALS AND METHODS: Data were analyzed using the 2019 MarketScan commercial claims and encounters database for the commercially insured population for both inpatient and outpatient claims. Descriptive statistics and logistic regression models for patients ≤24 years of age who received an ICD-10-CM code indicative of a possible mTBI were analyzed. RESULTS: Neuroimaging was performed in 16.9% (CT; 95% CI=16.7-17.1) and 0.9% (MRI; 95% CI=0.8-0.9) of mTBI outpatient visits (including emergency department visits) among children (≤18 years old). Neuroimaging was performed in a higher percentage of outpatient visits for patients 19-24 years old (CT=47.1% [95% CI=46.5-47.6] and MRI=1.7% [95% CI=1.5-1.8]), and children aged 15-18 years old (CT=20.9% [95% CI=20.5-21.2] and MRI=1.4% [95% CI=1.3-1.5]). Outpatient visits for males were 1.22 (95% CI=1.10-1.25) times more likely to include CT compared to females, while there were no differences by sex for MRI or among inpatient stays. Urban residents, as compared to rural, were less likely to get CT in outpatient settings (adjusted odds ratio [aOR]=0.55, 95% CI=0.53-0.57). Rural residents demonstrated a larger proportion of inpatient admissions that had a CT. CONCLUSIONS: Despite recommendations to avoid routine use of neuroimaging for mTBI, neuroimaging remained common practice in 2019.

Traumatic Brain Injury-Related Hospitalizations and Deaths in Urban and Rural Counties-2017.

STUDY OBJECTIVE: A better understanding of differences in traumatic brain injury incidence by geography may help inform resource needs for local communities. This paper presents estimates on traumatic brain injury-related hospitalizations and deaths by urban and rural county of residence. METHODS: To estimate the incidence of traumatic brain injury-related hospitalizations, data from the 2017 Healthcare Cost and Utilization Project's National Inpatient Sample were analyzed (n=295,760). To estimate the incidence of traumatic brain injury-related deaths, the Centers for Disease Control and Prevention's National Vital Statistics System multiple-cause-of-death files were analyzed (n=61,134). Datasets were stratified by residence, sex, principal mechanism of injury, and age group. Traumatic brain injury-related hospitalizations were also stratified by insurance status and hospital location. RESULTS: The rate of traumatic brain injury-related hospitalizations was significantly higher among urban (70.1 per 100,000 population) than rural residents (61.0), whereas the rate of traumatic brain injury-related deaths was significantly higher among rural (27.5) than urban residents (17.4). These patterns held for both sexes, individuals age 55 and older, and within the leading mechanisms of injury (ie, suicide, unintentional falls). Among patients with Medicare or Medicaid, the rate of traumatic brain injury-related hospitalizations was higher among urban residents; there was no urban/rural difference with other types of insurance. Nearly all (99.6%) urban residents who were hospitalized for a traumatic brain injury received care in an urban hospital. Additionally, approximately 80.3% of rural residents were hospitalized in an urban hospital. CONCLUSION: Urban residents had a higher rate of traumatic brain injury-related hospitalizations, whereas rural residents had a higher rate of traumatic brain injury-related deaths. This disparity deserves further study using additional databases that assess differences in mechanisms of injury and strategies to improve access to emergency care among rural residents.

Association Between Self-Reported Disability and Lifetime History of Traumatic Brain Injury With Loss of Consciousness Among Veterans and Nonveterans in North Carolina.

BACKGROUND: Compared with civilians, service members and veterans who have a history of traumatic brain injury (TBI) are more likely to experience poorer physical and mental health. To investigate this further, this article examines the association between self-reported history of TBI with loss of consciousness and living with 1 or more current disabilities (ie, serious difficulty with hearing, vision, cognition, or mobility; any difficulty with self-care or independent living) for both veterans and nonveterans. METHODS: A cross-sectional study using data from the North Carolina Behavioral Risk Factor Surveillance System for 4733 veterans and nonveterans aged 18 years and older. RESULTS: Approximately 34.7% of veterans residing in North Carolina reported having a lifetime history of TBI compared with 23.6% of nonveterans. Veterans reporting a lifetime history of TBI had a 1.4 times greater risk of also reporting living with a current disability (adjusted prevalence ratio = 1.4; 95% confidence interval, 1.2-1.8) compared with nonveterans. The most common types of disabilities reported were mobility, cognitive, and hearing. CONCLUSIONS: Compared with nonveterans, veterans who reported a lifetime history of TBI had an increased risk of reporting a current disability. Future studies, such as longitudinal studies, may further explore this to inform the development of interventions.

A Description of Suspected Concussions in Football-Related Activities among K-12 Students in Utah.

The circumstances and nature of concussions among youth who play tackle, flag, or touch football are not well understood. This study used data from Utah's Student Injury Reporting System (SIRS) to explore suspected concussions among K-12 students sustained during participation in football-related activities (tackle, flag, or touch football). Descriptive statistics and chi-square analyses showed that 54.7% of suspected concussions due to football-related activity were among elementary and middle school and 41.3% were among high school students. Most suspected concussions resulted from being struck by or against something (81.9%) and occurred during school-sanctioned games and practices (37.9%), lunch, lunch recess, and recess (34.8%), or physical education class (22.7%). The type of school activity and context for suspected concussions varied by school level. School nurses and others in Utah may use study findings to customize concussion prevention efforts by school level and activity.

Examination of Behaviors and Health Indicators for Individuals with a Lifetime History of Traumatic Brain Injury with Loss of Consciousness: 2018 BRFSS North Carolina.

BACKGROUND Evidence suggests that those who have sustained a traumatic brain injury (TBI) are at increased risk of adverse behaviors and health indicators, such as certain chronic physical and mental health conditions. However, little is known about the prevalence of these behaviors and health indicators among these individuals, information that could help decrease their risk of developing such conditions.METHODS Data (N = 4733) from the 2018 North Carolina Behavioral Risk Factor Surveillance System (BRFSS) were analyzed to determine the prevalence of behaviors and health indicators among individuals who report having a lifetime history of TBI with loss of consciousness (LOC).RESULTS North Carolinians who report a lifetime history of TBI with LOC were at increased risk of reporting a range of 3 negative health behaviors: less than always seatbelt use (adjusted odds ratio [AOR] = 1.7; 95% confidence interval [CI] = 1.2-2.4), HIV risk behaviors (AOR = 1.7; 95% CI = 1.1-2.6), and reporting less than 7 hours of sleep (AOR = 1.5; 95% CI = 1.2-1.8); more difficulty obtaining health care (not seeing a doctor due to health care cost in the past 12 months [AOR = 1.3; 95% CI = 1.0-1.8]; not getting a routine medical check-up in the past 12 months [AOR = 1.5; 95% CI = 1.2-2.0]); worse self-reported health (fair or poor general health [AOR = 1.8; 95% CI = 1.4-2.3]); and reporting fair or poor mental health (AOR = 2.1; 95% CI = 1.6-2.8) compared with individuals who did not report a history of TBI.LIMITATIONS There are several limitations to the study, such as the sample being biased toward more severe brain injuries. Additionally, because the data in the BRFSS are retrospective and cross-sectional, it is not possible to determine temporality and causality between TBI history and the behaviors and health indicators examined.CONCLUSION Despite these limitations, this paper is one of the first to directly examine the association between history of TBI with LOC and a range of current behaviors and health care utilization. Assessing positive and negative behaviors and health indicators can help identify and tailor evidence-based interventions for those who have a history of TBI.

Challenges and opportunities in diagnosing and managing mild traumatic brain injury in rural settings.

INTRODUCTION: There is some evidence to suggest that Americans living in rural areas are at increased risk for sustaining a traumatic brain injury (TBI) compared to those living in urban areas. In addition, once a TBI has been sustained, rural residents have worse outcomes, including a higher risk of death. Individuals living in rural areas tend to live farther from hospitals and have less access to TBI specialists. Aside from these factors, little is known what challenges healthcare providers practicing in rural areas face in diagnosing and managing TBI in their patients and what can be done to overcome these challenges. METHODS: Seven focus groups and one individual interview were conducted with a total of 18 healthcare providers who mostly practiced in primary care or emergency department settings in rural areas. Providers were asked about common mechanisms of TBI in patients that they treat, challenges they face in initial and follow-up care, and opportunities for improvement in their practice. RESULTS: The rural healthcare providers reported that common mechanisms of injury included sports-related injuries for their pediatric and adolescent patients and work-related accidents, motor vehicle crashes, and falls among their adult patients. Most providers felt prepared to diagnose and manage their patients with TBI, but acknowledged a series of challenges they face, including pushback from parents, athletes, and coaches and lack of specialists to whom they could refer. They also noted that patients had their own barriers to overcome for timely and adequate care, including lack of access to transportation, difficulties with cost and insurance, and denial about the seriousness of the injury. Despite these challenges, the focus group participants also outlined benefits to practicing in a rural area and several ways that their practice could improve with support. CONCLUSION: Rural healthcare providers may be comfortable diagnosing, treating, and managing their patients who present with a suspected TBI, but they also face many challenges in their practice. In this study it was continually noted that there was lack of resources and a lack of awareness, or recognition of the seriousness of TBI, among the providers' patient populations. Education about common symptoms and the need for evaluation after an injury is needed. The use of telemedicine, an increasingly common technology, may help close some gaps in access to services. People living in rural areas may be at increased risk for TBI. Healthcare providers who work in these areas face many challenges but have found ways to successfully manage the treatment of this injury in their patients.

Differences in State Traumatic Brain Injury-Related Deaths, by Principal Mechanism of Injury, Intent, and Percentage of Population Living in Rural Areas - United States, 2016-2018.

Traumatic brain injuries (TBIs) have contributed to approximately one million deaths in the United States over the last 2 decades (1). CDC analyzed National Vital Statistics System (NVSS) mortality data for a 3-year period (2016-2018) to examine numbers and rates of TBI-related deaths, the percentage difference between each state's rate and the overall U.S. TBI-related death rate, leading causes of TBI, and the association between TBI and a state's level of rurality. During 2016-2018, a total of 181,227 TBI-related deaths (17.3 per 100,000 population per year) occurred in the United States. The percentage difference between state TBI-related death rates and the overall U.S. rate during this period ranged from 46.2% below to 101.2% above the overall rate. By state, the lowest rate was in New Jersey (9.3 per 100,000 population per year); the states with the highest rates were Alaska (34.8), Wyoming (32.6), and Montana (29.5). States in the South and those with a higher proportion of residents living in rural areas had higher rates, whereas states in the Northeast and those with a lower proportion of residents living in rural areas had lower TBI-related death rates. In 43 states, suicide was the leading cause of TBI-related deaths; in other states, unintentional falls or unintentional motor vehicle crashes were responsible for the highest numbers and rates of TBI-related deaths. Consistent with previous studies (2), differences in TBI incidence and outcomes were observed across U.S. states; therefore, states can use these findings to develop and implement evidence-based prevention strategies, based on their leading causes of TBI-related deaths. Expanding evidence-based prevention strategies that address TBI-related deaths is warranted, especially among states with high rates due to suicide, unintentional falls, and motor vehicle crashes.

Emergency Department Visits for Bicycle-Related Traumatic Brain Injuries Among Children and Adults - United States, 2009-2018.

Bicycling leads to the highest number of sport and recreation-related emergency department (ED) visits for traumatic brain injuries (TBIs) in the United States (1). Because bicycling continues to grow in popularity,* primarily among U.S. adults, examining the strategies that mitigate the risk for TBI is important. CDC analyzed data from the National Electronic Injury Sursveillance System-All Injury Program (NEISS-AIP) to determine the incidence of EDs for bicycle-related TBIs during 2009-2018. An estimated 596,972 ED visits for bicycle-related TBIs occurred in the United States during the study period. Rates of ED visits were highest among adult males (aged ≥18 years) and among children and adolescents aged 10-14 years during 2009-2018. Overall, the rate of ED visits for bicycle-related TBIs decreased by approximately one half (48.7%) among children and by 5.5% among adults. As the number of persons riding bicycles increases, expansion of comprehensive bicycling safety interventions for bicyclists and drivers by states and local communities, such as interventions to increase driver compliance with traffic laws and helmet use among riders, improvements in bicycling infrastructure, and customized interventions for males and other groups at high risk might help reduce bicycle-related injuries.

Do healthcare providers assess for risk factors and talk to patients about return to driving after a mild traumatic brain injury (mTBI)? Findings from the 2020 DocStyles Survey.

BACKGROUND: There is a dearth of information and guidance for healthcare providers on how to manage a patient's return to driving following a mild traumatic brain injury (mTBI). METHODS: Using the 2020 DocStyles survey, 958 healthcare providers were surveyed about their diagnosis and management practices related to driving after an mTBI. RESULTS: Approximately half (52.0%) of respondents reported routinely (more than 75% of the time) talking with patients with mTBI about how to safely return to driving after their injury. When asked about how many days they recommend their patients with mTBI wait before returning to driving after their injury: 1.0% recommended 1 day or less; 11.7% recommended 2-3 days; 24.5% recommended 4-7 days and 45.9% recommended more than 7 days. Many respondents did not consistently screen patients with mTBI for risk factors that may affect their driving ability or provide them with written instructions on how to safely return to driving (59.7% and 62.6%, respectively). Approximately 16.8% of respondents reported they do not usually make a recommendation regarding how long patients should wait after their injury to return to driving. CONCLUSIONS: Many healthcare providers in this study reported that they do not consistently screen nor educate patients with mTBI about driving after their injury. In order to develop interventions, future studies are needed to assess factors that influence healthcare providers behaviours on this topic.

Lifetime History of Traumatic Brain Injury With Loss of Consciousness and the Likelihood for Lifetime Depression and Risk Behaviors: 2017 BRFSS North Carolina.

OBJECTIVE: Because of the growing concern about the potential effects of traumatic brain injuries (TBIs) on a child's developing brain and the potential impact of lifetime depression and risk behaviors associated with TBI, further exploration is warranted. SETTING AND PARTICIPANTS: Data (N = 4917) from the 2017 North Carolina Behavioral Risk Factors Surveillance System (BRFSS). DESIGN: Cross-sectional. MAIN MEASURES: Examine whether a lifetime history of TBI with loss of consciousness (LOC) or having a history of TBI with LOC prior to 18 years of age was associated with a greater likelihood of lifetime depression, current binge drinking, and current cigarette and e-cigarette smoking. RESULTS: Respondents with a history of TBI with LOC had 2.1 (95% CI, 1.6-2.8) times higher odds of lifetime depression and 1.7 to 1.8 (95% CI, 1.02-2.97) times higher odds of all risk behaviors than those without a lifetime history of TBI with LOC. There were no statistical differences between age of first TBI with LOC and lifetime depression, binge drinking, cigarette smoking, and e-cigarette use after controlling for key demographics. CONCLUSION: These findings underscore the importance of increasing awareness among healthcare providers of the prevalence of lifetime depression and risk behaviors among individuals with a history of TBI and the need for improved screening and referrals to evidence-based services.

Trends in Emergency Department Visits for Contact Sports-Related Traumatic Brain Injuries Among Children - United States, 2001-2018.

During 2010-2016, there were an average of 283,000 U.S. emergency department (ED) visits each year among children for sports and recreation-related traumatic brain injuries (SRR-TBIs); approximately 45% of these SRR-TBIs were associated with contact sports (1). Although most children with an SRR-TBI are asymptomatic within 4 weeks, there is growing concern about potential long-term effects on a child's developing brain (2). This has led to calls to reduce the risk for traumatic brain injuries (TBIs) among child athletes, resulting in the introduction of state policies and the institution of safety rules (e.g., age and contact restrictions) for some sports programs. To assess changes in the incidence of ED-related SRR-TBI among children, CDC analyzed data from the National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP) for the period 2001-2018. After more than a decade of increasing rates, the rate of contact sports-related TBI ED visits declined 32% from 2012 to 2018. This reduction was primarily the result of a decline in football-related SRR-TBI ED visits during 2013-2018. Decreased participation in tackle football (3) and implementation of contact limitations (4) were likely contributing factors to this decline. Public health professionals should continue to expand efforts to address SRR-TBIs in football, which is the sport with the highest incidence of TBI, and identify effective prevention strategies for all sports to reduce TBIs among children.

State-Level Numbers and Rates of Traumatic Brain Injury-Related Emergency Department Visits, Hospitalizations, and Deaths by Sex, 2014.

OBJECTIVE: To provide state-level traumatic brain injury (TBI)-related emergency department (ED) visit, hospitalization, and death estimates by sex for 2014. SETTING AND PARTICIPANTS: Centers for Disease Control and Prevention's Core Violence and Injury Prevention Program and State Injury Indicators-participating states. DESIGN: Cross-sectional. MAIN MEASURES: Number and rate of TBI-related ED visits, hospitalizations, and deaths (indicators) by sex in over 25 states. RESULTS: Across all states that supplied data, males had higher rates of TBI-related ED visits, hospitalizations, and deaths than females. However, for some indicators, high rates for both sexes and low rates for both sexes appeared clustered in a specific region of the United States. There was also within-state variability in TBI rates by indicator and sex. For example, within-state variability between sexes ranged from as low as 2.8% for ED visits and as high as 335% for deaths. CONCLUSION: TBI-related ED visits, hospitalizations, and deaths varied by state and by sex, and evidence was found for within-state variability in TBI rates by indicator and sex in 2014. Differences in TBI indicators by sex may have important implications for public health professionals implementing TBI prevention and care strategies at the state level.

State-Level Numbers and Rates of Traumatic Brain Injury-Related Emergency Department Visits, Hospitalizations, and Deaths in 2014.

OBJECTIVE: To provide state-level traumatic brain injury (TBI)-related emergency department (ED) visit, hospitalization, and death estimates for 2014. SETTING AND PARTICIPANTS: The Centers for Disease Control and Prevention's Core Violence and Injury Prevention Program and State Injury Indicators participating states. DESIGN: Cross-sectional. MAIN MEASURES: Number and incidence rates of TBI-related ED visits, hospitalizations, and deaths in more than 30 states. RESULTS: The rates of TBI-related ED visits in 2014 ranged from 381.1 per 100 000 (South Dakota) to 998.4 per 100 000 (Massachusetts). In 2014, Pennsylvania had the highest TBI-related hospitalization rate (98.9) and Ohio had the lowest (55.1). In 2014, the TBI-related death rate ranged from 9.1 per 100 000 (New Jersey) to 23.0 per 100 000 (Oklahoma). CONCLUSION: The variations in TBI burden among states support the need for tailoring prevention efforts to state needs. Results of this analysis can serve as a baseline for these efforts.

State-Level Numbers and Rates of Traumatic Brain Injury-Related Emergency Department Visits, Hospitalizations, and Deaths by Age, 2014.

OBJECTIVE: To provide state-level traumatic brain injury (TBI)-related emergency department (ED) visit, hospitalization, and death estimates by age group for 2014. SETTING AND PARTICIPANTS: Centers for Disease Control and Prevention's Core Violence and Injury Prevention Program and State Injury Indicators-participating states. DESIGN: Cross-sectional. MAIN MEASURES: Number and population-based incidence rates of TBI-related ED visits, hospitalizations, and deaths by age group-children and young adults (0-24 years), adults (25-64 years), and older adults (≥65 years)-in 36 states. RESULTS: South Dakota had the lowest rates of TBI-related ED visits for all age groups-children and young adults: 566.2 (95% CI: 539.2-593.3) per 100 000; adults: 269.2 (95% CI: 253.0-285.4) per 100 000; and older adults: 324.3 (95% CI: 293.4-355.2) per 100 000. Rhode Island had the lowest rate of TBI-related hospitalizations for children and young adults-25.9 (95% CI: 20.7-32.0) per 100 000. The lowest rate of TBI-related hospitalizations among adults and older adults was in Virginia-39.6 (95% CI: 37.7-41.4) per 100 000-and Ohio-129.3 (95% CI: 124.0-134.6) per 100 000-respectively. Maryland had the lowest rate of TBI-related deaths for children and young adults-3.1 (95% CI: 2.3-3.9) per 100 000. Rhode Island had the lowest rate of TBI-related deaths for adults-7.2 (95% CI: 5.2-9.8) per 100 000-and New Jersey had the lowest rate of TBI-related deaths for older adults-29.4 (95% CI: 26.5-32.4) per 100 000. CONCLUSION: This analysis demonstrated that there are variations in TBI-related ED visits, hospitalizations, and deaths by age. State public health professionals may use these findings to develop state-based strategies to address TBI.

Concussion reporting, return to learn, and return to play experiences in a sample of private preparatory high school students.

OBJECTIVE: The objective of this study is to describe concussion reporting and return to learn and play among high school students. METHODS: Self-reported survey data of 1,999 New England private preparatory high school students who played sports or engaged in recreational activities were collected in 2018. Descriptive and bivariate statistics are presented. RESULTS: Three in ten respondents (31.4%) reported ever sustaining a concussion and 22.0% did not report at least one concussion to an adult. The most common reasons for not reporting included wanting to keep playing their sport (58.0%) and not thinking the injury was that serious (53.6%). Girls and students in higher grades took longer to return to school and sports. A quarter of students reported pretending to have a faster recovery in order to return to school or sports. CONCLUSION: Private school students who play sports or engage in recreational activity may be at risk of sustaining concussions and may not report their symptoms due to a lack of understanding the seriousness of concussion, not wanting to fall behind in school, or out of desire to continue playing their sport. Teachers, coaches, and parents can stress reporting as the first step in recovery.

CDC Guideline on Mild Traumatic Brain Injury in Children: Important Practice Takeaways for Sports Medicine Providers.

OBJECTIVES: The Centers for Disease Control and Prevention (CDC) published an evidence-based guideline on the diagnosis and management of pediatric mild traumatic brain injury (mTBI) in 2018. This commentary provides key practice takeaways for sports medicine providers outlined in the Guideline recommendations. DATA SOURCES: The CDC Pediatric mTBI Guideline was developed through a rigorous scientific process using a modified Grading of Recommendations, Assessment, Development and Evaluations (GRADE) methodology. A systematic review of the scientific literature published over a 25-year period for all causes of pediatric mTBI formed the basis of the Guideline. MAIN RESULTS: The key practice takeaways for sports medicine providers focus on preseason evaluations, neuroimaging, symptom-based assessment, managing recovery, monitoring for persistent symptoms, and return to activity, including sport and school. CONCLUSIONS: Sports medicine providers play an integral part in the implementation of evidence-based practices that promote appropriate diagnosis and management of mTBI in children. This commentary highlights key practice takeaways that sports medicine providers can implement.