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Concussion research has primarily focused on sport-related mechanisms and excluded non–sport-related mechanisms. In adult populations, non–sport-related concussions (non-SRCs) demonstrated worse clinical outcomes compared with sport-related concussions (SRCs); however, investigations of non-SRCs in college-aged patients are limited. To examine clinical outcomes in collegiate athletes with non-SRCs compared with SRCs and explore sex differences in outcomes among collegiate athletes with non-SRCs. Prospective cohort study. Clinical setting. A total of 3500 athletes were included (n = 555 with non-SRCs, 42.5% female) from colleges or universities and service academies participating in the National Collegiate Athletic Association Department of Defense Concussion Assessment, Research and Education (CARE) Consortium. Dichotomous outcomes (yes or no) consisted of immediate reporting, mental status alterations, loss of consciousness, posttraumatic amnesia, retrograde amnesia, motor impairments, delayed symptom presentation, and required hospital transport. Continuous outcomes were symptom severity, days with concussion symptoms, and days lost to injury. Data were collected within 24 to 48 hours of injury and at return to play. Adjusted relative risks (ARRs) compared the likelihood of dichotomous outcomes by mechanism and by sex within patients with non-SRCs. Multivariate negative binomial regressions were used to assess group differences in continuous variables. Athletes with non-SRCs were less likely to report immediately (ARR = 0.73, 95% CI = 0.65, 0.81) and more likely to report delayed symptom presentation (ARR = 1.17, 95% CI = 1.03, 1.32), loss of consciousness (ARR = 3.15, 95% CI = 2.32, 4.28), retrograde amnesia (ARR = 1.77, 95% CI = 1.22, 2.57), and motor impairment (ARR = 1.45, 95% CI = 1.14, 1.84). Athletes with non-SRCs described greater symptom severity, more symptomatic days, and more days lost to injury (P <.001) compared with those who had SRCs. Within the non-SRC group, female athletes indicated greater symptom severity, more symptomatic days, and more days lost to injury (P <.03) than male athletes. Athletes with non-SRCs had worse postinjury outcomes compared with those who had SRCs, and female athletes with non-SRCs had worse recovery metrics than male athletes. Our findings suggest that further investigation of individuals with non-SRCs is needed to improve concussion reporting and management. [ABSTRACT FROM AUTHOR]

Background: Studies have evaluated individual factors associated with persistent postconcussion symptoms (PPCS) in youth concussion, but no study has combined individual elements of common concussion batteries with patient characteristics, comorbidities, and visio-vestibular deficits in assessing an optimal model to predict PPCS. Purpose: To determine the combination of elements from 4 commonly used clinical concussion batteries and known patient characteristics and comorbid risk factors that maximize the ability to predict PPCS. Study Design: Cohort study; Level of evidence, 2. Methods: We enrolled 198 concussed participants—87 developed PPCS and 111 did not—aged 8 to 19 years assessed within 14 days of injury from a suburban high school and the concussion program of a tertiary care academic medical center. We defined PPCS as a Post-Concussion Symptom Inventory (PCSI) score at 28 days from injury of ≥3 points compared with the preinjury PCSI score—scaled for younger children. Predictors included the individual elements of the visio-vestibular examination (VVE), Sport Concussion Assessment Tool, 5th Edition (SCAT-5), King-Devick test, and PCSI, in addition to age, sex, concussion history, and migraine headache history. The individual elements of these tests were grouped into interpretable factors using sparse principal component analysis. The 12 resultant factors were combined into a logistic regression and ranked by frequency of inclusion into the combined optimal model, whose predictive performance was compared with the VVE, initial PCSI, and the current existing predictive model (the Predicting and Prevention Postconcussive Problems in Pediatrics (5P) prediction rule) using the area under the receiver operating characteristic curve (AUC). Results: A cluster of 2 factors (SCAT-5/PCSI symptoms and VVE near point of convergence/accommodation) emerged. A model fit with these factors had an AUC of 0.805 (95% CI, 0.661-0.929). This was a higher AUC point estimate, with overlapping 95% CIs, compared with the PCSI (AUC, 0.773 [95% CI, 0.617-0.912]), VVE (AUC, 0.736 [95% CI, 0.569-0.878]), and 5P Prediction Rule (AUC, 0.728 [95% CI, 0.554-0.870]). Conclusion: Among commonly used clinical assessments for youth concussion, a combination of symptom burden and the vision component of the VVE has the potential to augment predictive power for PPCS over either current risk models or individual batteries. [ABSTRACT FROM AUTHOR]

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. To determine the combination of elements from 4 commonly used clinical concussion batteries that maximize discrimination of adolescents with concussion from those without concussion. Cross-sectional study. Suburban school and concussion program of a tertiary care academic center. 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. 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). 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]). 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. [ABSTRACT FROM AUTHOR]

Background: A validated clinical risk tool has been developed to identify pediatric and adolescent patients at risk of developing persisting symptoms after concussion, but has not been prospectively investigated within a sample of athletes seen after concussion by primary care sports medicine physicians and/or athletic trainers. Purpose: To determine whether a validated clinical risk prediction tool for persistent postconcussive symptoms (PPCSs) predicted which patients would develop PPCSs when obtained within 14 days of concussion among a multicenter sample of adolescent athletes. Study Design: Cohort study; Level of evidence, 2. Methods: Pediatric and adolescent patients (8-18 years of age) from 7 pediatric medical centers and 6 secondary school athletic training facilities who were diagnosed with a concussion and presented ≤14 days after concussion were enrolled as part of the Sport Concussion Outcomes in Pediatrics (SCOPE) study during their initial visit and were followed until symptom resolution. Clinical risk scores (Predicting and Preventing Post-concussive Problems in Pediatrics [5P]) and total symptom severity were obtained using the Post-Concussion Symptom Inventory at the initial visit (mean, 4.9 ± 2.9 days after concussion). Participants were then compared based on symptom resolution time: PPCS group (≥28 days to symptom resolution) and no-PPCS group (<28 days). The authors assessed the odds of developing PPCSs based on the 5P risk score using a binary logistic regression model and the utility of the clinical risk prediction tool to identify total time to symptom resolution using a Cox proportional hazards model. Results: A total of 184 participants enrolled, underwent initial evaluation, and were followed until symptom resolution (mean age, 15.2 ± 2.1 years; 35% female). The mean time to symptom resolution across the entire sample was 17.6 ± 3.7 days; 16% (n = 30) of participants developed PPCS. Those in the PPCS group had significantly greater mean initial total 5P risk scores than those in the no-PPCS group (7.9 ± 1.7 vs 5.9 ± 2.3, respectively; P <.001). After adjustment for initial symptom severity, time to assessment, and assessment setting, a higher initial total 5P risk score was associated with a significantly greater odds of developing PPCSs (adjusted odds ratio, 1.49; 95% CI, 1.07-2.08; P =.019). Furthermore, a higher 5P risk score was significantly associated with longer total symptom resolution time (hazard ratio, 0.80; 95% CI, 0.74-0.88; P <.001). Conclusion: In a multicenter sample of youth athletes seen in different outpatient health care settings, the 5P risk score accurately predicted which athletes may be at risk for developing PPCSs. [ABSTRACT FROM AUTHOR]

Background: Growing evidence indicates early exercise may improve symptoms and reduce clinical recovery time after concussion, but research examining collegiate student-athletes is scarce. Objective: The aim of this study was to compare symptom recovery time, clinical recovery time, and persisting post-concussion symptom (i.e., symptoms ≥ 28 days) prevalence by the timing of light exercise initiation before the graded return to play (RTP) protocol among concussed participants. Methods: Collegiate student-athletes (n = 1228; age 18.4 ± 0.9 years; 56.5% male, 76.3% division I; 33.7% ≥ 1 prior concussion) across 30 institutions enrolled in the CARE Consortium completed post-concussion assessments and were monitored over time. Symptom recovery (days from injury to symptom resolution) and clinical recovery (days from injury to return to play protocol completion) was determined by the student-athletes' clinicians. Student-athletes were categorized by timing of light exercise initiation. Early (< 2 days post-concussion; n = 161), typical (3–7 days post-concussion; n = 281), and late exercise (≥ 8 days post-concussion; n = 169) groups were compared with the no-exercise group (n = 617; i.e., did not exercise prior to beginning the RTP protocol) for all analyses. Multivariable Cox regression models with hazard ratios (HR) and survival curves and a multivariable binomial regression model with prevalence ratios (PR) compared recovery outcomes between exercise groups while accounting for covariates. Results: Compared to the no-exercise group, the early exercise group was 92% more probable to experience symptom recovery (HR 1.92; 95% CI 1.57–2.36), 88% more probable to reach clinical recovery (HR 1.88; 95% CI 1.55–2.28) and took a median of 2.4 and 3.2 days less to recover, respectively. The late exercise group relative to the no-exercise group was 57% less probable to reach symptom recovery (HR 0.43; 95% CI 0.35–0.53), 46% less probable to achieve clinical recovery (HR 0.54; 95% CI 0.45–0.66) and took 5.3 days and 5.7 days more to recover, respectively. The typical exercise group did not differ in hazard for symptom or clinical recovery (p ≥ 0.329) compared with the no-exercise group. The prevalence of persisting post-concussion symptoms in the combined sample was 6.6%. Early exercise had 4% lower prevalence (PR 0.96, 95% CI 0.94–0.99) and typical exercise had 3% lower prevalence (PR 0.97, 95% CI 0.94–0.99) of persisting post-concussion symptoms, while the late exercise group had an elevated prevalence (PR 1.11, 95% CI 1.04–1.18) compared with the no-exercise group. Conclusion: Exercise < 2 days post-concussion was associated with more probable and faster symptom and clinical recovery, and lower persisting post-concussion symptom prevalence. When considering our findings and existing literature, qualified clinicians may implement early exercise into their clinical practice to provide therapeutic treatment and improve student-athlete recovery. [ABSTRACT FROM AUTHOR]

Background: Concussion pre-injury (i.e., baseline) assessments serve as a benchmark comparison point in the event an individual sustains a concussion and allows clinicians to compare to post-injury measures. However, baseline assessments must reflect the individual's true and most optimized performance to serve as a useful comparison. Mental fatigue and motivation throughout baseline testing may alter individual assessment performance, indicating an order of administration (OoA) may play an influential role in assessment outcomes. Objective: To examine the influence concussion baseline battery OoA has on symptom, postural stability, cognitive screening, and computerized neurocognitive test outcomes. Methods: We employed a retrospective observational cohort study to examine healthy collegiate student-athletes and military cadets (n = 2898, 19.0 ± 1.4 years, 66.1% male, 75.6% white, 54.4% Division-I) baseline assessment performance on the Sport Concussion Assessment Tool (SCAT; total symptom number and severity), Balance Error Scoring System (BESS; total error scores), Standardized Assessment of Concussion (SAC; total score), and Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) domain scores (verbal and visual memory, visual-motor speed, reaction time). Assessments were binned to beginning, middle, or end tertiles based upon OoA. We used one-way ANOVAs with Tukey post-hoc t tests, 95% confidence intervals (CI), and Cohen's d effect sizes for significant models (α = 0.05). Results: SCAT total symptom number (mean difference = 2.23; 95% CI 1.76–2.70; d = 0.49, p < 0.001) and severity (mean difference = 5.58; 95% CI 4.42–6.74; d = 0.50; p < 0.001) were lower when completed at the end of baseline testing compared to the middle. Total BESS errors were 1.06 lower when completed at the middle relative to the end (95% CI 0.43–1.69; d = 0.17; p = 0.001). Total SAC scores were better at the beginning relative to middle (mean difference = 0.58; 95% CI 0.25–0.90; d = 0.33; p < 0.001) and end (mean difference = 0.44; 95% CI 0.16–0.73; d = 0.24; p = 0.001). Verbal memory, visual memory, and reaction time performance were highest at the beginning (p ≤ 0.002), while visual-motor speed performance was highest at the middle (p = 0.001). Conclusion: Completing baseline assessments in the order of (1) ImPACT, (2) SAC, (3) BESS, and (4) SCAT symptom checklist may improve performance across assessments collectively. Clinicians and researchers should consider completing baseline assessments in this order when possible to potentially aid in optimizing concussion baseline assessment performance and maximize post-concussion comparisons. [ABSTRACT FROM AUTHOR]

Context: Concussions affect a large number of US athletes each year. Returning an athlete to activity once selfreported symptoms have resolved can be problematic if unrecognized neurocognitive and balance deficits persist. Pairing cognitive and motor tasks or cognitive and quietstance tasks may allow clinicians to detect and monitor these changes postconcussion. Objective: To prospectively examine adolescent athletes' gait and quiet-stance performance while concurrently completing a cognitive task acutely after concussion and after symptom resolution. Design: Case-control study. Setting: Sport concussion clinic. Patients or Other Participants: Thirty-seven athletes (age = 1±.2 ± 3.1 years; 54% female) were diagnosed with a concussion, and their performance was compared with that of a group of 44 uninjured control participants (age = 15.0 ± 2.0 years; 57% female). Intervention: Participants diagnosed with a concussion completed a symptom inventory and single- and dual-task gait and quiet-stance evaluations within 21 days of injury and then again after symptom resolution. Gait and postural-control measurements were quantified using an inertial sensor system and analyzed using multivariate analyses of covariance. Main Outcome Measure(s): Post-Concussion Symptom Scale, single-task and dual-task gait measures, quiet-stance measures, and cognitive task performance. Results: At the initial postinjury examination, single-task gait stride length (1.1± ± 0.14 versus 1.25 ± 0.13 m, P = .003) and dual-task gait stride length (1.02 ± 0.13 m versus 1.10 ± 0.13 m, P = .011) for the concussion group compared with the control group, respectively, were shorter. After symptom resolution, no single-task gait differences were found, but the concussion group demonstrated slower gait velocity (0.78 ± 0.15 m/s versus 0.92 ± 0.14 m/s, P = .005), lower cadence (92.5 ± 12.2 steps/min versus 99.3 ± 7.8 steps/min, P , .001), and a shorter stride length (0.99 ± 0.15 m versus 1.10 ± 0.13 m, P = .003) during dual-task gait than the control group. No between-groups differences were detected during quiet stance at either time point. Conclusions: Acutely after concussion, single-task and dual-task stride-length alterations were present among youth athletes compared with a control group. Although single-task gait alterations were not detected after symptom resolution, dual-task gait differences persisted, suggesting that dual-task gait alterations may persist longer after concussion than singletask gait or objective quiet-stance alterations. Dual-task gait assessments may, therefore, be a useful component in monitoring concussion recovery after symptom resolution. [ABSTRACT FROM AUTHOR]

Objective. To determine the prevalence of vision diagnoses after concussion in adolescents. Methods. Cross-sectional study from July 1, 2013 to February 28, 2014, of patients aged 11 to 17 years with concussion evaluated in a comprehensive concussion program. Results. A total of 100 adolescents were examined, with a mean age of 14.5 years. Overall, 69% had one or more of the following vision diagnoses: accommodative disorders (51%), convergence insufficiency (49%), and saccadic dysfunction (29%). In all, 46% of patients had more than one vision diagnosis. Conclusions. A high prevalence of vision diagnoses (accommodative, binocular convergence, and saccadic eye movement disorders) was found in this sample of adolescents with concussion, with some manifesting more than one vision diagnosis. These data indicate that a comprehensive visual examination may be helpful in the evaluation of a subset of adolescents with concussion. Academic accommodations for students with concussion returning to the classroom setting should account for these vision diagnoses. [ABSTRACT FROM AUTHOR]

Objective: To estimate the direct costs of pediatric postconcussive syndrome (PCS). Design: Retrospective cohort study. Setting: Subspecialty sports medicine clinics of a large pediatric tertiary care network in the United States. Patients: One hundred fifty-four patients aged 5 to 18 years with PCS, evaluated between 2010 and 2011. Assessment of independent variables: Direct costs included visits to sports medicine clinic, visio-vestibular therapy, homebound education, subspecialist referral, and prescription-only medications (amantadine and amitriptyline), all measured beginning at 28 days after injury. Main outcome measures: Postconcussive syndrome was defined as persistence beyond 28 days from injury. Results: The cost incurred by each PCS patient for sports medicine visits was $1575, for visio-vestibular therapy was $985, for homebound tutoring was $55, for prescription medications was $22, and for subspecialist referral was $120, totaling $3557 per patient, with a 95% confidence interval range of $2886 to $4257. Conclusions: Given the high economic costs of PCS determined in this study, therapies that mitigate this syndrome may have the potential to be cost-effective and even cost saving. [ABSTRACT FROM AUTHOR]

Objectives. (1) Assess pediatric primary care providers’ understanding of cognitive rest for concussion and (2) describe their concussion management practices. Methods. This study included (1) a survey of general pediatric providers and (2) an electronic medical record (EMR) review of children 5 to 18 years old treated for concussion from September 1, 2010, to May 31, 2011. The survey asked about treatment recommendations for concussion, and results were coded to identify cognitive rest recommendations. The EMR review included the following: injury details, medical evaluation, and recommendations for resuming school and sports/recreation. Results. In all, 89 of 201 providers responded to the survey, and 52 of the 84 clinicians who included comments about concussion management mentioned cognitive rest (62%, 95% confidence interval [CI] = 51%-72%). Of the 91 EMRs reviewed for patients’ first visits following the concussion, only 10 (11%, 95% CI = 6%-19%) included written cognitive rest recommendations. Conclusions. Although the majority of pediatric providers identified cognitive rest as important in pediatric concussion management, few provided written recommendations in the EMR. [ABSTRACT FROM PUBLISHER]

OBJECTIVE: To determine the self-reported practices and attitudes surrounding concussion diagnosis and management in a single, large pediatric care network. METHODS: A cross-sectional survey was distributed to pediatric primary care and emergency medicine providers in a single, large pediatric care network. For all survey participants, practices and attitudes about concussion diagnosis and treatment were queried. RESULTS: There were 145 responses from 276 eligible providers, resulting in a 53% response rate, of which 91% (95% confidence interval [CI]: 86%- 95%) had cared for at least 1 concussion patient in the previous 3 months. A Likert scale from 1 "not a barrier" to 5 "significant barrier" was used to assess providers' barriers to educating families about the diagnosis of concussion. Providers selected 4 or 5 on the scale for the following barriers and frequencies: inadequate training to educate 16% (95% CI: 11%-23%), inadequate time to educate 15% (95% CI: 12%-24%), and not my role to educate 1% (95% CI: 0.4%-5%). Ninety-six percent (95% CI: 91%-98%) of providers without a provider decision support tool (such as a clinical pathway or protocol) specific to concussion, and 100% (95% CI: 94%-100%) of providers without discharge instructions specific to concussion believed these resources would be helpful. CONCLUSIONS: Although pediatric primary care and emergency medicine providers regularly care for concussion patients, they may not have adequate training or infrastructure to systematically diagnose and manage these patients. Specific provider education, decision support tools, and patient information could help enhance and standardize concussion management. [ABSTRACT FROM AUTHOR]

Objective: Concussion is the most common type of brain injury in both pediatric and adult populations and can potentially result in persistent postconcussion symptoms. Objective assessment of physiologic "mild" traumatic brain injury in concussion patients remains challenging. This study evaluates an automated eye-tracking algorithm as a biomarker for concussion as defined by its symptoms and the clinical signs of convergence insufficiency and accommodation dysfunction in a pediatric population. Design: Cross-sectional case-control study. Setting: Primary care. Patients: Concussed children (N = 56; mean age = 13 years), evaluated at a mean of 22-week post-injury, compared with 83 uninjured controls. Independent variables: Metrics comparing velocity and conjugacy of eye movements over time were obtained and were compared with the correlation between Acute Concussion Evaluation (ACE) scores, convergence, and accommodation dysfunction. Main outcome measures: Subjects' eye movements recorded with an automated eye tracker while they watched a 220-second cartoon film clip played continuously while moving within an aperture. Results: Twelve eye-tracking metrics were significantly different between concussed and nonconcussed children. A model to classify concussion as diagnosed by its symptoms assessed using the ACE achieved an area under the curve (AUC) = 0.854 (71.9% sensitivity, 84.4% specificity, a cross-validated AUC = 0.789). An eye-tracking model built to identify near point of convergence (NPC) disability achieved 95.8% specificity and 57.1% sensitivity for an AUC = 0.810. Reduced binocular amplitude of accommodation had a Spearman correlation of 0.752(P value <0.001) with NPC. Conclusion: Eye tracking correlated with concussion symptoms and detected convergence and accommodative abnormalities associated with concussion in the pediatric population. It demonstrates utility as a rapid, objective, noninvasive aid in the diagnosis of concussion. [ABSTRACT FROM AUTHOR]

Objectives: (1) To examine how age influences initial symptom presentation following concussion; and (2) to determine whether specific symptom profiles are associated with duration of postconcussion symptoms, and whether they vary by age group. Design: A total of 689 patients (20% children 7-12 years of age, 69% adolescents 13-18 years of age, and 11% young adults 19-30 years of age) were seen and diagnosed with a concussion within 21 days after injury. Patients completed the Post-Concussion Symptom Scale (PCSS) and were followed until they no longer required care. Setting: Two specialty care sport concussion clinical practices. Main outcome measures: Overall PCSS score was obtained, as well as severity ratings from somatic, vestibular-ocular, cognitive, sleep, and emotional symptom domains. We also calculated total symptom duration time. Results: No significant main effect of age, or age by sex associations were identified among the symptom domains. Females endorsed a higher somatic symptom severity rating than males (9.8 +/- 6.7 vs 8.1 +/- 6.7; P = 0.03). For patients between 7 and 12 years of age, higher somatic [[beta]-coefficient = 1.57, 95% confidence interval (CI), 1.47-1.67] and cognitive ([beta]-coefficient = 2.50, 95% CI, 2.32-2.68) symptom severities were associated with longer duration of concussion symptoms. Among adolescents, longer total symptom duration was associated with more severe somatic ([beta]-coefficient = 1.25, 95% CI, 0.34-2.15) and vestibular-ocular ([beta]-coefficient = 2.36, 95% CI, 1.49-3.23) symptoms. Conclusions: Within 21 days after concussion, symptom-reporting behavior seems to be similar across the age spectrum, but the relationship between symptom profiles and time to symptom resolution varies by age. Although overall symptom ratings are beneficial in determining clinical pathways, symptom domain use may provide a beneficial method to determine individualized patient care that differs between children and adolescents after concussion. [ABSTRACT FROM AUTHOR]