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.

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.

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.

A synthesis of carcass decomposition studies conducted at a tropical (Aw) taphonomy facility: 2013-2022.

Decomposition studies have been conducted in several regions of the world, but relatively few have investigated taphonomy in tropical environments. Even fewer have explored carcass decomposition during multiple tropical seasons, leaving the relationships between season and decomposition in tropical environments poorly understood. Ten decomposition studies using 30 carcasses were conducted in Honolulu, Hawaii, USA to start addressing this knowledge gap. These studies show that some postmortem processes were observed regardless of season. Carcass temperature and chemistry were spatiotemporally variable. Fly larval masses were consistently observed within 3 days (∼75 ADD) postmortem and carcasses lost 60%-90% of mass by 10 days (∼250 ADD) postmortem (Total Body Score ∼26). Season had a significant effect on decomposition, yet the warmest and most humid seasons did not always result in the most rapid and extensive decomposition. Seasonal variation appears to be less pronounced than at other tropical decomposition sites.

Association between traumatic brain injury and suicidality using a mediation approach and MarketScan.

INTRODUCTION: Negative outcomes, including suicidal ideation/attempts, are a major public health concern, particularly among individuals who sustain a traumatic brain injury (TBI). TBI is associated with high rates of postinjury substance use, psychiatric disorders, post-traumatic stress disorder and sleep disturbances. This study examines the mediation effects of substance use, psychiatric disorder and sleep disorder on the associations between TBI and suicidal ideation/attempts. METHODS: A matched case-control study using data from MarketScan databases for private health insurance and Medicaid from October 2015 to December 2018 estimated the association between TBI and suicidal ideation/attempts using a mediation approach. Individuals less than 65 years of age were included. RESULTS: In the Medicaid sample, psychiatric disorders mediated 22.4% of the total effect between TBI and suicidal ideation/attempt, while substance use disorders other than opioid use disorder mediated 7.47%. In the private health insurance sample, psychiatric disorders mediated 3.97% of the total effect, opioid use disorders mediated 2.08% of the total effect and sleep disorder mediated 1.25% of the total effect. CONCLUSIONS: Mediators explained less than 30% of the relationship between TBI and suicidal ideation/attempt. Findings reinforce the importance of primary prevention of TBI and monitoring patients with a TBI for risk of suicide in the first 6-12 months following injury.

Concussion education for youth athletes using Pre-Game Safety Huddles: a cluster-randomised controlled trial.

OBJECTIVES: Determine whether Pre-Game Safety Huddles, a novel and low-resource approach to concussion education, increase the expected likelihood of concussion reporting for youth athletes. METHODS: A cluster-randomised trial compared Safety Huddles to usual care. Safety Huddles bring together athletes and coaches from both teams before the start of each game for coaches to briefly affirm the importance of speaking up if a concussion is suspected. Participants were athletes from 22 competitive community-based American football and girls and boys soccer teams (ages 9-14), and randomisation into intervention or control occurred at the level of the bracket (group of teams that compete against each other during the regular season). The primary outcome was expected likelihood of reporting concussion symptoms to the coach, measured via validated athlete survey at the beginning and end of the season. RESULTS: Of 343 eligible participants, 339 (99%) completed baseline surveys and 303 (88%) completed surveys at season end. The mean (SD) age was 11.4 (1.1) years, 26% were female soccer athletes, 27% were male soccer athletes and 47% were football athletes. In adjusted analyses accounting for baseline values and clustering by sport and team via random effects, expected likelihood of concussion reporting at the end of the season was significantly higher in the intervention group compared to controls (mean difference=0.49, 95% CI 0.11 to 0.88; Cohen's d=0.35). CONCLUSIONS AND RELEVANCE: Pre-Game Safety Huddles increased the expected likelihood of athletes reporting concussion symptoms. While further study is warranted, sport organisations should consider this approach a promising low-resource option for improving concussion safety in their setting. TRIAL REGISTRATION NUMBER: NCT04099329.

Disparities in traumatic brain injury-related deaths-United States, 2020.

INTRODUCTION: Traumatic brain injury (TBI) affects how the brain functions and remains a prominent cause of death in the United States. Although preventable, anyone can experience a TBI and epidemiological research suggests some groups have worse health outcomes following the injury. METHODS: We analyzed 2020 multiple-cause-of-death data from the National Vital Statistics System to describe TBI mortality by geography, sociodemographic characteristics, mechanism of injury (MOI), and injury intent. Deaths were included if they listed an injury International Classification of Diseases, Tenth Revision (ICD-10) underlying cause of death code and a TBI-related ICD-10 code in one of the multiple-cause-of-death fields. RESULTS: During 2020, 64,362 TBI-related deaths occurred and age-adjusted rates, per 100,000 population, were highest among persons residing in the South (20.2). Older adults (≥75) displayed the highest number and rate of TBI-related deaths compared with other age groups and unintentional falls and suicide were the leading external causes among this older age group. The age-adjusted rate of TBI-related deaths in males was more than three times the rate of females (28.3 versus 8.4, respectively); further, males displayed higher numbers and age-adjusted rates compared with females for all the principal MOIs that contributed to a TBI-related death. American Indian or Alaska Native, Non-Hispanic (AI/AN) persons had the highest age-adjusted rate (29.0) of TBI-related deaths when compared with other racial and ethnic groups. Suicide was the leading external cause of injury contributing to a TBI-related death among AI/AN persons. PRACTICAL APPLICATION: Prevention efforts targeting older adult falls and suicide are warranted to reduce disparities in TBI mortality among older adults and AI/AN persons. Effective strategies are described in CDC's Stopping Elderly Accidents, Deaths, & Injuries (STEADI) initiative to reduce older adult falls and CDC's Preventing Suicide: A Technical Package of Policy, Programs, and Practices for the best available evidence in suicide prevention.

Stakeholder-Engaged Development of a Theory-Driven, Feasible, and Acceptable Approach to Concussion Education.

Concussion education is widely mandated and largely ineffective. Recent consensus guidance on concussion education asserts the importance of (1) theory-driven programming that targets the team as a system and (2) working with end users throughout the development process, and considering issues such as feasibility, acceptability, and sustainability. Consistent with this guidance, and in collaboration with youth sport stakeholders in two regions of the United States, we developed a novel approach to concussion education: Pre-game safety huddles. Safety huddles have the following two core components: (1) athletes, coaches, and other stakeholders come together before the start of each game and (2) opinion leaders (coaches, referees) affirm the importance of care seeking for suspected concussion. The aim of this article is to provide an overview of the collaborative process through which we refined the safety huddle concept into an acceptable and feasible intervention with potential for sustainable implementation in diverse youth sports settings with minimal resource demands. In describing our process and discussing challenges and opportunities, we hope to provide an example for others seeking to develop and implement injury prevention interventions in youth sports settings.

Incidence of Nonfatal Traumatic Brain Injury-Related Hospitalizations - United States, 2018.

Traumatic brain injury (TBI), which can disrupt normal brain function and result in short- and long-term adverse clinical outcomes, including disability and death, is preventable. To describe the 2018 incidence of nonfatal TBI-related hospitalizations in the United States by sociodemographic characteristics, injury intent, and mechanism of injury, CDC analyzed data from the Healthcare Cost and Utilization Project (HCUP) National (Nationwide) Inpatient Sample. During 2018, there were 223,050 nonfatal TBI-related hospitalizations; rates among persons aged ≥75 years were approximately three times higher than those among persons aged 65-74 years, and the age-adjusted rate among males was approximately double that among females. Unintentional falls were the most common mechanism of injury leading to nonfatal TBI-related hospitalization, followed by motor vehicle crashes. Proper and consistent use of recommended restraints (i.e., seatbelts, car seats, and booster seats) and, particularly for persons aged ≥75 years, learning about individual fall risk from health care providers are two steps the public can take to prevent the most common injuries leading to nonfatal TBIs. The findings in this report could be used by public health officials and clinicians to identify priority areas for prevention programs.

Reported History of Traumatic Brain Injury Among Suicide Decedents: National Violent Death Reporting System, 2003-2017.

INTRODUCTION: Traumatic brain injury is a major cause of death and disability in the U.S., and research shows that individuals who suffer traumatic brain injury have an increased risk for suicide. This study examines the characteristics of suicide decedents with a documented traumatic brain injury history using a database containing circumstantial data on suicides and examines the differences in traumatic brain injury‒ and nontraumatic brain injury‒related suicides within the general population and within individuals with a history of military service. METHODS: Logistic regression models estimated AORs and 95% CIs of suicide among those with and without a previous traumatic brain injury using data from the 2003-2017 National Violent Death Reporting System (analyzed in 2020). RESULTS: From 2003 to 2017, a total of 203,157 suicide decedents were identified, and 993 had a documented traumatic brain injury before suicide. Among those with a documented traumatic brain injury, a higher percentage were White non-Hispanic. Firearm injuries were the most common method of suicide for both groups. Poisoning was more common among decedents with a previous traumatic brain injury than among those without. Male individuals, those who were single, and those who served in the military were 1.4 times more likely to have a documented traumatic brain injury history before the suicide. Almost 1 in 5 suicides (18.9%) documenting traumatic brain injury occurred among individuals with a history of military service. CONCLUSIONS: Comprehensive suicide prevention approaches are imperative. Healthcare providers can play a role in assessing and identifying patients at increased risk of suicide, including those who have experienced falls or injuries that often result in traumatic brain injury, and provide tailored interventions or referrals.

Multisite medical record review of emergency department visits for unspecified injury of head following the ICD-10-CM coding transition.

INTRODUCTION: In 2016, a proposed International Classification of Diseases, Tenth Edition, Clinical Modification surveillance definition for traumatic brain injury (TBI) morbidity was introduced that excluded the unspecified injury of head (S09.90) diagnosis code. This study assessed emergency department (ED) medical records containing S09.90 for evidence of TBI based on medical documentation. METHODS: State health department representatives in Maryland, Kentucky, Colorado and Massachusetts reviewed a target of 385 randomly sampled ED records uniquely assigned the S09.90 diagnosis code (without proposed TBI codes), which were initial medical encounters among state residents discharged home during October 2015-December 2018. Using standardised abstraction procedures, reviewers recorded signs and symptoms of TBI, and head imaging results. A tiered case confirmation strategy was applied that assigned a level of certainty (high, medium, low, none) to each record based on the number and type of symptoms and imaging results present in the record. Positive predictive value (PPV) of S09.90 by level of TBI certainty was calculated by state. RESULTS: Wide variation in PPV of sampled ED records assigned S09.90: 36%-52% had medium or high evidence of TBI, while 48%-64% contained low or no evidence of a TBI. Loss of consciousness was mentioned in 8%-24% of sampled medical records. DISCUSSION: Exclusion of the S09.90 code in surveillance estimates may result in many missed TBI cases; inclusion may result in counting many false positives. Further, missed TBI cases influenced by incidence estimates, based on the TBI surveillance definition, may lead to inadequate allocation of public health resources.

Non-parametric Vignetting Correction for Sparse Spatial Transcriptomics Images.

Spatial transcriptomics techniques such as STARmap [15] enable the subcellular detection of RNA transcripts within complex tissue sections. The data from these techniques are impacted by optical microscopy limitations, such as shading or vignetting effects from uneven illumination during image capture. Downstream analysis of these sparse spatially resolved transcripts is dependent upon the correction of these artefacts. This paper introduces a novel non-parametric vignetting correction tool for spatial transcriptomic images, which estimates the illumination field and background using an efficient iterative sliced histogram normalization routine. We show that our method outperforms the state-of-the-art shading correction techniques both in terms of illumination and background field estimation and requires fewer input images to perform the estimation adequately. We further demonstrate an important downstream application of our technique, showing that spatial transcriptomic volumes corrected by our method yield a higher and more uniform gene expression spot-calling in the rodent hippocampus. Python code and a demo file to reproduce our results are provided in the supplementary material and at this github page: https://github.com/BoveyRao/Non-parametric-vc-for-sparse-st.

Traumatic Brain Injury-Related Emergency Department Visits Among American Indian and Alaska Native Persons-National Patient Information Reporting System, 2005-2014.

OBJECTIVE: The American Indian/Alaska Native (AI/AN) population has a disproportionately high rate of traumatic brain injuries (TBIs). However, there is little known about incidence and common mechanisms of injury among AI/AN persons who seek care in an Indian Health Service (IHS) or tribally managed facility. METHODS: Using the IHS National Patient Information Reporting System, we assessed the incidence of TBI-related emergency department visits among AI/AN children and adults seen in IHS or tribally managed facilities over a 10-year period (2005-2014). RESULTS: There were 44 918 TBI-related emergency department visits during the study period. Males and persons aged 18 to 34 years and 75 years and older had the highest rates of TBI-related emergency department visits. Unintentional falls and assaults contributed to the highest number and proportion of TBI-related emergency department visits. The number and age-adjusted rate of emergency department visits for TBI were highest among persons living in the Southwest and Northern Plains when compared with other IHS regions. CONCLUSION: Thousands of AI/AN children and adults are seen each year in emergency departments for TBI and the numbers increased over the 10-year period examined. Evidence-based interventions to prevent TBI-related emergency department visits, such as programs to reduce the risk for older adult falls and assault, are warranted.

Deaths from Fall-Related Traumatic Brain Injury - United States, 2008-2017.

One in 10 U.S. residents aged ≥18 years reports falling each year (1). Among all age groups, falls can cause serious injury and are the second leading cause of traumatic brain injury (TBI)-related deaths (2). TBI is a head injury caused by a bump, blow, or jolt to the head or body or a penetrating head injury that results in disruption of normal brain function.* CDC estimated national and state-specific rates and trends for TBI-related deaths (TBI deaths) caused by unintentional falls (fall-related TBI deaths) among U.S. residents during 2008-2017, by selected decedent characteristics. The national age-adjusted rate of fall-related TBI deaths increased by 17% from 2008 to 2017. Rate trends at the national level increased significantly for nearly all decedent characteristics, with the most notable increases observed among persons living in noncore (i.e., most rural), nonmetropolitan counties and those aged ≥75 years. Analysis of state-specific rate trends determined that rates of fall-related TBI deaths increased significantly in 29 states over the 10-year study period. A fall can happen to anyone of any age, but falls are preventable. Health care providers and the public need to be aware of evidence-based strategies to prevent falls, given that rates of fall-related TBI deaths are increasing. Health care providers can educate patients on fall and TBI prevention, assess their risk for falls, and when needed, encourage participation in appropriate evidence-based fall prevention programs.†.

Traumatic brain injury-related hospitalizations and deaths among American Indians and Alaska natives - United States, 2008-2014.

INTRODUCTION: Despite progress, injury remains the leading cause of preventable death for American Indian and Alaska Natives (AI/AN), aged 1 to 44. There are few publications on injuries among the AI/AN population, especially those on traumatic brain injury (TBI). A TBI can cause short- or long-term changes in cognition, communication, and/or emotion. METHODS: To describe changes over time in TBI incidence by mechanism of injury, injury intent, and age group among AI/ANs, the CDC analyzed hospitalization and death data from the 2008-2014 Healthcare Cost and Utilization Project (HCUP) National Inpatient Sample (NIS) and the National Vital Statistics System (NVSS), respectively. RESULTS: From 2008-2014, the incidence of TBI-related hospitalizations increased by 32% (1,477 in 2008 to 1,945 in 2014) and resulted in a 21% increase in age-adjusted rates of people hospitalized with TBI. TBI-related deaths increased in number (569 in 2008 to 644 in 2014) and age-adjusted rate (22.7 in 2008 to 25.4 in 2014) by approximately 13% and 12%, respectively. Motor-vehicle crashes were the leading cause of TBI-related deaths among AI/ANs aged 0-54 years. Practical application: Prevention efforts should focus on increasing motor-vehicle safety and advancing prevention strategies for other leading causes of TBI, including: falls, intentional self-harm, and assaults.

Evaluation of a hospital-based injury surveillance system for monitoring road traffic deaths in Phuket, Thailand.

Objectives: The objective of this study was to evaluate and injury surveillance (IS) system's ability to monitor road traffic deaths and the coverage of road traffic injury and death surveillance in Phuket, Thailand. Methods: U.S. Centers for Disease Control and Prevention guidelines on surveillance system evaluation were used to qualitatively and quantitatively evaluate IS. Interviews with key stakeholders focused on IS's usefulness, simplicity, flexibility, acceptability, and stability. Active case finding of 2014 road traffic deaths in all paper and electronic hospital record systems was used to assess system sensitivity, positive predictive value, and data quality. Electronic data matching software was used to determine the implications of combining IS data with other provincial-level data sources (e.g., death certificates, electronic vehicle insurance claim system). Results: Evaluation results indicated that IS was useful, flexible, acceptable, and stable, with a high positive predictive value (99%). Simplicity was limited due to the burden of collecting data on all injuries and use of paper-based data collection forms. Sensitivity was low, with IS only identifying 55% of hospital road traffic death cases identified during active case finding; however, IS cases were representative of cases identified. Data accuracy and completeness varied across data fields. Combining IS with active case finding, death certificates, and the electronic vehicle insurance claim system more than doubled the number of road traffic death cases identified in Phuket. Conclusion: An efficient and comprehensive road traffic injury and death surveillance system is critical for monitoring Phuket's road traffic burden. The hospital-based IS system is a useful system for monitoring road traffic deaths and assessing risk behaviors. However, the complexity of data collection and limited coverage hinders the ability of IS to fully represent road traffic deaths in Phuket Province. Combining data sources could improve coverage and should be considered.

Emergency Department Visits for Sports- and Recreation-Related Traumatic Brain Injuries Among Children - United States, 2010-2016.

Traumatic brain injuries (TBIs), including concussions, are at the forefront of public concern about athletic injuries sustained by children. Caused by an impact to the head or body, a TBI can lead to emotional, physiologic, and cognitive sequelae in children (1). Physiologic factors (such as a child's developing nervous system and thinner cranial bones) might place children at increased risk for TBI (2,3). A previous study demonstrated that 70% of emergency department (ED) visits for sports- and recreation-related TBIs (SRR-TBIs) were among children (4). Because surveillance data can help develop prevention efforts, CDC analyzed data from the National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP)* by examining SRR-TBI ED visits during 2010-2016. An average of 283,000 children aged <18 years sought care in EDs each year for SRR-TBIs, with overall rates leveling off in recent years. The highest rates were among males and children aged 10-14 and 15-17 years. TBIs sustained in contact sports accounted for approximately 45% of all SRR-TBI ED visits. Activities associated with the highest number of ED visits were football, bicycling, basketball, playground activities, and soccer. Limiting player-to-player contact and rule changes that reduce risk for collisions are critical to preventing TBI in contact and limited-contact sports. If a TBI does occur, effective diagnosis and management can promote positive health outcomes among children.

Exploring substance use and impaired driving among adults aged 21 years and older in the United States, 2015.

INTRODUCTION: Alcohol- or drug-impaired driving can cause motor vehicle crashes, injuries, and death. Estimates of drug-impaired driving are difficult to obtain. This study explores self-reported prevalence of and factors associated with alcohol, marijuana, and prescription opioid use and impaired driving among adults aged 21 years and older in the United States. METHODS: Self-reported data from 3,383 adults in the 2015 Fall ConsumerStyles survey were analyzed. Respondents were asked about alcohol, marijuana, and prescription opioid use and driving while impaired in the last 30 days. Weighted prevalence estimates were calculated. Prevalence ratios and Poisson log-linear regressions were used to identify factors associated with substance use and impaired driving. RESULTS: Alcohol use was reported by 49.5% (n = 1,676) of respondents; of these, 4.9% (n = 82) reported alcohol-impaired driving. Marijuana use was reported by 5.5% (n = 187) of respondents; of these, 31.6% (n = 59) reported marijuana-impaired driving. Prescription opioid use was reported by 8.8% (n = 298) of respondents; of these, 3.4% (n = 10) reported prescription opioid-impaired driving. Polysubstance use of alcohol and marijuana (concurrent use) was reported by 2.7% (n = 93) of respondents. Among those, 10.8% (n = 10) reported driving impaired by both alcohol and marijuana. CONCLUSIONS: Impaired driving was self-reported among alcohol, marijuana, and prescription opioid users. This article demonstrates the need for more robust alcohol- and drug-related data collection, reporting, and analyses, as well as the emerging need for surveillance of marijuana and prescription opioid-impaired driving. States can consider using proven strategies to prevent impaired driving and evaluate promising practices.

Self-Reported Concussions from Playing a Sport or Being Physically Active Among High School Students - United States, 2017.

Increased susceptibility to concussions and longer recovery times among high school athletes compared with older athletes (1) make concussions among youths playing a sport or being physically active an area of concern. Short-term and long-term sequelae of concussions can include cognitive, affective, and behavioral changes (1). Surveillance methods used to monitor concussions among youths likely underestimate the prevalence. Estimates assessed from emergency departments miss concussions treated outside hospitals, those generated using high school athletic trainer reports miss concussions sustained outside of school-based sports (2), and both sources miss medically untreated concussions. To estimate the prevalence of concussions among U.S. high school students related to playing a sport or being physically active, CDC analyzed data from the 2017 national Youth Risk Behavior Survey (YRBS). Overall, 15.1% of students (approximately 2.5 million*) reported having at least one of these concussions during the 12 months before the survey, and 6.0% reported two or more concussions. Concussion prevalence was significantly higher among male students than among female students and among students who played on a sports team than among students who did not. Among all sex, grade, and racial/ethnic subgroups, the odds of reporting a concussion increased significantly with the number of sports teams on which students played. These findings underscore the need to 1) foster a culture of safety in which concussion prevention and management is explicitly addressed; 2) expand efforts to educate students, parents, coaches, and health care providers regarding the risk for concussion; and 3) identify programs, policies, and practices that prevent concussions.

Ability to monitor driving under the influence of marijuana among non-fatal motor-vehicle crashes: An evaluation of the Colorado electronic accident reporting system.

INTRODUCTION: As more states legalize medical/recreational marijuana use, it is important to determine if state motor-vehicle surveillance systems can effectively monitor and track driving under the influence (DUI) of marijuana. This study assessed Colorado's Department of Revenue motor-vehicle crash data system, Electronic Accident Reporting System (EARS), to monitor non-fatal crashes involving driving under the influence (DUI) of marijuana. METHODS: Centers for Disease Control and Prevention guidelines on surveillance system evaluation were used to assess EARS' usefulness, flexibility, timeliness, simplicity, acceptability, and data quality. We assessed system components, interviewed key stakeholders, and analyzed completeness of Colorado statewide 2014 motor-vehicle crash records. RESULTS: EARS contains timely and complete data, but does not effectively monitor non-fatal motor-vehicle crashes related to DUI of marijuana. Information on biological sample type collected from drivers and toxicology results were not recorded into EARS; however, EARS is a flexible system that can incorporate new data without increasing surveillance system burden. CONCLUSIONS: States, including Colorado, could consider standardization of drug testing and mandatory reporting policies for drivers involved in motor-vehicle crashes and proactively address the narrow window of time for sample collection to improve DUI of marijuana surveillance. Practical applications: The evaluation of state motor-vehicle crash systems' ability to capture crashes involving drug impaired driving (DUID) is a critical first step for identifying frequency and risk factors for crashes related to DUID.