Trajectory of Health-Related Quality of Life Following Pediatric Concussion.

OBJECTIVE: To assess changes in health-related quality of life (HRQOL) across a 12-month period following pediatric concussion and to explore whether psychological factors (ie, preinjury mental health history, current symptoms of anxiety and depression, sleep disturbance, or grit) were associated with HRQOL. STUDY DESIGN: Prospective cohort study design using data collected from patients presenting to a specialty care concussion program, with each patient followed for 12 months after initial presentation. Comparison data were collected from nonconcussed controls recruited from the community. A total of 49 concussed patients (median = 15.4 years of age) completed the Pediatric Quality of Life Inventory, Patient-Reported Outcome Measure Information Systems Anxiety and Depressive Symptoms short forms, Pediatric Sleep Disturbance forms, and a Short Grit Scale. Mixed effects models explored change in HRQOL across time. RESULTS: Total HRQOL at initial clinic presentation was significantly lower for concussed adolescents (Pediatric Quality of Life Inventory total score mean = 72 [SD = 16]) compared with nonconcussed controls (mean = 88 [SD = 11], P < .001). HRQOL improved in the patients with concussion over a 6-month period after initial assessment with no significant changes thereafter. Preinjury history of anxiety (coefficient = -11.388, CI = -18.49 to -4.28, P < .001), current depressive symptoms (coefficient = -0.317, CI = -0.62 to -0.01, P < .01), and sleep disturbance (coefficient = -0.336, CI = -0.71 to 0.04, P < .05) all predicted lower HRQOL. CONCLUSIONS: HRQOL is significantly lower in the acute phase of pediatric concussion and steadily improves over the following 6 months. Psychological factors are linked to lower HRQOL and may serve as important indicators of risk for poor outcome.

Characteristics of Pediatric Concussion across Different Mechanisms of Injury in 5 through 12-Year-Olds.

OBJECTIVE: To investigate characteristics of sport-related concussion (SRC), recreation-related concussion (RRC), and nonsport or recreation-related concussion (non-SRRC) in patients 5 through 12 years old, an understudied population in youth concussion. STUDY DESIGN: This observational study included patients aged 5 through 12 years presenting to a specialty care concussion setting at ≤28 days postinjury from 2018 through 2022. The following characteristics were assessed: demographics, injury mechanism (SRC, RRC, or SRRC), point of healthcare entry, and clinical signs and symptoms. Kruskal-Wallis and chi-square tests were used to assess group differences. Posthoc pairwise comparisons were employed for all analyses (α = 0.017). RESULTS: One thousand one hundred forty-one patients reported at ≤28 days of injury (female = 42.9%, median age = 11, interquartile range (IQR) = 9-12) with the most common mechanism being RRC (37.3%), followed by non-SRRC (31.9%). More non-SRRCs (39.6%) and RRC (35.7%) were first seen in the emergency department (P < .001) compared with SRC (27.9%). Patients with RRC and non-SRRC were first evaluated at specialists 2 and 3 days later than SRC (P < .001). Patients with non-SRRC reported with higher symptom burden, more frequent visio-vestibular abnormalities, and more changes to sleep and daily habits (P < .001) compared with RRC and SRC (P < .001). CONCLUSIONS: In concussion patients 5 through 12 years, RRCs and non-SRRC were more prevalent than SRC, presenting first more commonly to the emergency department and taking longer to present to specialists. Non-SRRC had more severe clinical features. RRC and non-SRRC are distinct from SRC in potential for less supervision at time of injury and less direct access to established concussion health care following injury.

Menstrual Cycle Patterns After Concussion in Adolescent Patients.

OBJECTIVE: To describe menstrual cycle patterns in adolescents with concussion and investigate whether menstrual cycle phase at injury influenced postconcussion cycle pattern changes or concussion symptoms. STUDY DESIGN: Data were collected prospectively from patients aged 13-18 years presenting to a specialty care concussion clinic for an initial visit (≤28 days postconcussion) and, if clinically indicated, at a follow-up visit 3-4 months postinjury. Primary outcomes included menstrual cycle pattern change since injury (change/no change), menstrual cycle phase at time of injury (calculated using date of last period before injury), and symptom endorsement and severity, measured by Post-Concussion Symptom Inventory (PCSI). Fisher exact tests were used to determine the association between menstrual phase at injury and change in cycle pattern. Multiple linear regression was used to determine whether menstrual phase at injury was associated with PCSI endorsement and symptom severity, adjusting for age. RESULTS: Five hundred twelve postmenarchal adolescents were enrolled (age 15.2 ± 1.4 years), with 111 (21.7%) returning for follow-up at 3-4 months. Menstrual pattern change was reported by 4% of patients at initial visit and 10.8% of patients at follow-up. At 3-4 months, menstrual phase at injury was not associated with menstrual cycle changes (P = .40) but was associated with endorsement of concussion symptoms on the PCSI (P = .01). CONCLUSIONS: At 3-4 months' postconcussion, 1 in 10 adolescents experienced a change in menses. Menstrual cycle phase at injury was associated with postconcussion symptom endorsement. Leveraging a large sample of postconcussion menstrual patterns, this study represents foundational data regarding potential menstrual cycle effects of concussion in female adolescents.

Maximizing the Accuracy of Adolescent Concussion Diagnosis Using Individual Elements of Common Standardized Clinical Assessment Tools.

CONTEXT: Multiple clinical evaluation tools exist for adolescent concussion with various degrees of correlation, presenting challenges for clinicians in identifying which elements of these tools provide the greatest diagnostic utility. OBJECTIVE: To determine the combination of elements from 4 commonly used clinical concussion batteries that maximize discrimination of adolescents with concussion from those without concussion. DESIGN: Cross-sectional study. SETTING: Suburban school and concussion program of a tertiary care academic center. PATIENTS OR OTHER PARTICIPANTS: A total of 231 participants with concussion (from a suburban school and a concussion program) and 166 participants without concussion (from a suburban school) between the ages of 13 and 19 years. MAIN OUTCOME MEASURE(S): Individual elements of the visio-vestibular examination (VVE), Sport Concussion Assessment Tool, fifth edition (SCAT5; including the modified Balance Error Scoring System), King-Devick test (K-D), and Postconcussion Symptom Inventory (PCSI) were evaluated. The 24 subcomponents of these tests were grouped into interpretable factors using sparse principal component analysis. The 13 resultant factors were combined with demographic and clinical covariates into a logistic regression model and ranked by frequency of inclusion into the ideal model, and the predictive performance of the ideal model was compared with each of the clinical batteries using the area under the receiver operating characteristic curve (AUC). RESULTS: A cluster of 4 factors (factor 1 [VVE saccades and vestibulo-ocular reflex], factor 2 [modified Balance Error Scoring System double-legged stance], factor 3 [SCAT5/PCSI symptom scores], and factor 4 [K-D completion time]) emerged. A model fit with the top factors performed as well as each battery in predicting concussion status (AUC = 0.816 [95% CI = 0.731, 0.889]) compared with the SCAT5 (AUC = 0.784 [95% CI = 0.692, 0.866]), PCSI (AUC = 0.776 [95% CI = 0.674, 0.863]), VVE (AUC = 0.711 [95% CI = 0.602, 0.814]), and K-D (AUC = 0.708 [95% CI = 0.590, 0.819]). CONCLUSIONS: A multifaceted assessment for adolescents with concussion, comprising symptoms, attention, balance, and the visio-vestibular system, is critical. Current diagnostic batteries likely measure overlapping domains, and the sparse principal component analysis demonstrated strategies for streamlining comprehensive concussion assessment across a variety of settings.

NON-HEADER IMPACT EXPOSURE AND KINEMATICS OF MALE YOUTH SOCCER PLAYERS.

Previous studies have investigated the head impact kinematics of purposeful heading in youth soccer; however, less than a third of all head injuries in youth soccer have been found to involve ball contact. The aim of the current study was to identity the head impact kinematics and exposure not associated with purposeful heading of the ball in male youth soccer. Headband-mounted sensors were used to monitor the head kinematics of male junior varsity and middle school teams during games. Video analysis of sensor-recorded events was used to code impact mechanism, surface and site. Junior varsity players had non-header impact rates of 0.28 per athlete-exposure (AE) and 0.37 per player-hour (PH), whereas middle school players had relatively lower non-header impact rates of 0.16 per AE and 0.25 per PH. Such impact rates fell within the large range of values reported by previous studies, which is likely affected by sensor type and recording trigger threshold. The most common non-header impact mechanism in junior varsity soccer was player contact, whereas ball-to-head was the most common non-header impact mechanism in middle school soccer. Non-header impacts for junior varsity players had median peak kinematics of 31.0 g and 17.4 rad/s. Non-header impacts for middle school players had median peak kinematics of 40.6 g and 16.2 rad/s. For non-header impacts, ball impacts to the rear of the head the highest peak kinematics recorded by the sensor. Such data provide targets for future efforts in injury prevention, such as officiating efforts to control player-to-player contact.

Characteristics of Concussion in Elementary School-Aged Children: Implications for Clinical Management.

OBJECTIVE: To comprehensively characterize the clinical presentation and course of care for concussion among 5- to 11-year-old children, identifying preinjury and injury factors potentially influencing clinical outcomes. STUDY DESIGN: A single-institution retrospective cohort study using electronic health record data from children ages 5- to 11 years with a concussion from July 1, 2014, through June 30, 2015. Electronic health record data were abstracted for a 20% random sample of 292 patients. RESULTS: Three-fourths of patients (74.3%) presenting for concussion care had a standardized visiovestibular assessment performed. Almost all of those who eventually sought specialty care (92.9%) also had such an assessment, and only 42.9% patients initially seen in the emergency department or urgent care were examined in this manner. Of those assessed, 62.7% (n = 136) demonstrated deficits, with children ages 9-11 years more frequently exhibiting deficits than their younger counterparts (67.9% vs 53.2%; P = .03). Almost all patients (95.9%) reported at least 1 somatic symptom (eg, headache, dizziness), and one-half to two-thirds reported problems with sleep (54.1%) and visiovestibular symptoms (66.1%). Only 11.6% of children were referred for rehabilitation therapies and less than one-half of concussed patients (43.8%) were provided with a letter recommending school accommodations. CONCLUSIONS: Somatic symptoms, sleep problems, and visiovestibular deficits are common in elementary school-aged children with concussion, but specific visiovestibular clinical assessments are often not performed, particularly in the emergency department setting. Recommendations for school accommodations are often not provided at the time of concussion diagnosis. Incorporating a standardized visiovestibular assessment into practice could facilitate early targeted school accommodations and thereby improve return to learning for elementary school-aged children with concussion.

Risk of Repeat Concussion Among Patients Diagnosed at a Pediatric Care Network.

OBJECTIVE: To quantify the risk of repeat concussions for children and identify demographic and clinical aspects of the index concussion associated with repeat injury. STUDY DESIGN: For this retrospective cohort study, we queried the Children's Hospital of Philadelphia healthcare network's unified electronic health record to identify all 5- to 15-year-old patients who had their first clinical visit for an index concussion at a Children's Hospital of Philadelphia location from July 2012 through June 2013. A 25% random sample (n = 536) were selected. Clinical data were abstracted for their index concussion and all concussion-related visits for 2 years following the index concussion. RESULTS: Overall, 16.2% (n = 87) of patients experienced at least 1 repeat concussion within 2 years of their index concussion. The risk of repeat concussion increased with patient age (9.5% for ages 5-8 years; 10.7% for ages 9-11 years; and 19.8% for ages 12-15 years). After we adjusted for other factors, risk was particularly heightened among patients whose index concussion had a longer clinical course (>30 vs 0-7 days, adjusted risk ratio 1.65 [1.01-2.69]) and greater symptom burden (>11 vs 0-2 symptoms, adjusted risk ratio 2.12 [1.12-3.72]). CONCLUSIONS: We estimate that 1 in 6 youth diagnosed with a concussion are diagnosed with a subsequent concussion within 2 years and that several clinical characteristics of the index concussion increase this risk. Identifying factors associated with a repeat injury is essential to inform the clinical management of concussion and direct injury prevention efforts.

Variations in Mechanisms of Injury for Children with Concussion.

OBJECTIVES: To assess the distribution of injury mechanisms and activities among children with concussions in a large pediatric healthcare system. STUDY DESIGN: All patients, age 0-17 years, who had at least 1 clinical encounter with an International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis of concussion in the Children's Hospital of Philadelphia's electronic health record system from July 1, 2012 to June 30, 2014, were selected (N = 8233) and their initial concussion-related visit identified. Approximately, 20% of the patients (n = 1625) were randomly selected for manual record review to examine injury mechanisms and activities. RESULTS: Overall, 70% of concussions were sports related; however, this proportion varied by age. Only 18% of concussions sustained by children aged 0-4 were sports related, compared with greater proportions for older children (67% for age 5-11, 77% for age 12-14, and 73% for age 15-17). When the concussion was not sports related, the primary mechanisms of injury were struck by an object (30%) and falls (30%). CONCLUSIONS: Sports-related injuries in children older than 6 years of age contributed to the majority of concussions in this cohort; however, it is important to note that approximately one-third of concussions were from non-sports-related activities. Although there is increased participation in community and organized sports activities among children, a focus on prevention efforts in other activities where concussions occur is needed.

Emergency Department Visits and Head Computed Tomography Utilization for Concussion Patients From 2006 to 2011.

OBJECTIVES: Concussion is the most common type of mild traumatic brain injury for which patients present to the emergency department (ED). It is critical to understand the contemporary epidemiology of concussion and rates of head computed tomography (CT) use in head-injured patients to inform education of evidence-based clinical practice guidelines to emergency medicine providers. METHODS: This was a cross-sectional analysis of the Nationwide Emergency Department Sample (NEDS) for years 2006 to 2011, representing a stratified probability sample of all U.S. hospital-based EDs. Patients of all ages with concussion diagnoses were included, and those with intracranial hemorrhages or prolonged loss of consciousness were excluded. Descriptive and bivariate statistics were summarized for patient demographics, injury mechanism, Injury Severity Scores (ISS), and concussion incidence rates, based on U.S. Census Bureau population estimates. RESULTS: There were 756,214,762 (weighted) ED visits in the NEDS between 2006 and 2011, of which 0.5% received diagnoses of concussion. The national incidence rate of concussion visits increased 22.6% from 195 visits per 100,000 person-years in 2006 to 239 visits per 100,000 person-years in 2011. The incidence of concussion visits increased by 28.1% from 2006 to 2011 overall (580,573 to 743,994) and within all age group categories. The rate of head CT use in patients diagnosed with concussion increased 35.7% (range = 34.5% to 46.8%) for the entire group from 2006 to 2011 (p < 0.0001). The injury severity of patients' injuries decreased over time (66.4% ISS < 5 in 2006 and 75% in 2011; p < 0.0001), while the proportion of discharged patients increased over time (78.1% in 2006 and 86.6% in 2011; p < 0.0001). CONCLUSIONS: ED visits for concussions have increased over time, with a corresponding increase in head CT utilization despite a decrease in injury severity. Increased visits may be due to more concussion awareness and recognition of subtle injuries. Evidence-based clinical practice guidelines for neuroimaging in head-injured patients and management of concussion should be reinforced to emergency medicine providers.

Characteristics of prolonged concussion recovery in a pediatric subspecialty referral population.

OBJECTIVE: To identify pre-existing characteristics associated with prolonged recovery from concussion in a sample of patients referred to a pediatric sports medicine clinic. STUDY DESIGN: This was a retrospective, exploratory cohort study of 247 patients age 5-18 years with concussion referred to a tertiary pediatric hospital-affiliated sports medicine clinic from July 1, 2010, through December 31, 2011. A random sample of all eligible patient visits (3740) was chosen for further review and abstraction. Statistical comparisons between subsets of patients were conducted using exact χ(2) tests, logistic regression, quantile regression, and Kaplan-Meier survival curves. RESULTS: The median time until returning to school part-time was 12 days (IQR 6-21); until returning to school full-time without accommodations was 35 days (IQR 11-105); until becoming symptom-free was 64 days (IQR 18-119); and until being fully cleared to return to sports was 75 days (IQR 30-153). Furthermore, 73% of all patients were symptomatic for >4 weeks, 73% were prescribed some form of school accommodation, and 61% reported a decline in grades. Characteristics associated with a prolonged recovery included a history of depression or anxiety; an initial complaint of dizziness; abnormal convergence or symptom provocation following oculomotor examination on physical examination; and history of prior concussion. CONCLUSIONS: Pediatric and adolescent patients with concussion may experience cognitive and emotional morbidity that can last for several months following injury. Clinicians should consider specific pre-existing characteristics and presenting symptoms that may be associated with a more complicated recovery for concussion patients.

Validation of a helmet-based system to measure head impact biomechanics in ice hockey.

PURPOSE: This study aimed to quantify differences between head acceleration measured by a helmet-based accelerometer system for ice hockey and an anthropometric test device (ATD) to validate the system's use in measuring on-ice head impacts. METHODS: A Hybrid III 50th percentile male ATD head and neck was fit with a helmet instrumented with the Head Impact Telemetry (HIT) System for hockey and impacted at various speeds and directions with different interfaces between the head and helmet. Error between the helmet-based and reference peak accelerations was quantified, and the influence of impact direction and helmet-head interface was evaluated. Regression equations were used to reduce error. System-reported impact direction was validated. RESULTS: Nineteen percent of impacts were removed from the data set by the HIT System processing algorithm and were not eligible for analysis. Errors in peak acceleration between the system and ATD varied from 18% to 31% and from 35% to 64% for linear and rotational acceleration, respectively, but were reduced via regression equations. The relationship between HIT System and reference acceleration varied by direction (P < 0.001) and head-helmet interface (P = 0.005). Errors in impact azimuth were approximately 4%, 10%, and 31% for side, back, and oblique back impacts, respectively. CONCLUSIONS: This is the first comprehensive evaluation of peak head acceleration measured by the HIT System for hockey. The HIT System processing algorithm removed 19% of the impacts from the data set, the correlation between HIT System and reference peak resultant acceleration was strong and varied by head surface and impact direction, and the system error was larger than reported for the 6-degree-of-freedom HIT System for football but could be reduced via calibration factors. These findings must be considered when interpreting on-ice data.