Sensitivity and specificity of subacute computerized neurocognitive testing and symptom evaluation in predicting outcomes after sports-related concussion

The Effect of Impact Seizure on the Recovery of Children and Adolescents With Concussion: A Matched Case-Control Study

OBJECTIVE

Management of sport-related and recreation-related concussions (SRCs) in children and adolescents is challenging as brain maturation affects prognosis. However, impact seizure was removed as a prognosis modifying factor in children and adolescents with SRCs in the 2017 consensus statement on concussion in sport, based mostly on adult literature. Therefore, this study evaluates the association of impact seizure on the recovery in children and adolescents with SRCs.

DESIGN

Retrospective matched case-control study.

SETTING

Tertiary pediatric sports medicine service, from January 1, 2015, to June 30, 2022.

PATIENTS

A cohort of 452 patients, aged 7 to 18 years, with new episode of SRC was seen. From this cohort, 396 patients were included in the analysis, including 22 with impact seizures. Controls were generated using the propensity score matching approach. Patients with moderate or severe traumatic brain injury or incomplete treatment were excluded.

INDEPENDENT VARIABLE

Impact seizure during SRC.

MAIN OUTCOME MEASURES

Primary outcome was recovery duration in number of days.

RESULTS

The median recovery duration was longer in the cases (73 days, interquartile range [IQR] = 38-143 days) as compared with controls (49.5 days, IQR = 30.5-93.5 days). There was no difference in patients with prolonged recovery (ie >28 days) between both groups (OR 1.6, 95% CI, 0.4-6.6, P = 0.505).

CONCLUSIONS

Impact seizures prolonged the recovery duration in children and adolescents with SRCs and therefore have a potential concussion modifying prognostic role. These findings could help provide evidence-based management principles for children and adolescents with SRCs in subsequent concussion consensus statements.

Use of Reactive Balance Assessments With Clinical Baseline Concussion Assessments in Collegiate Athletes

CONTEXT

Current clinical concussion evaluations assess balance deficits using static or dynamic balance tasks while largely ignoring reactive balance. Including a reactive balance assessment might provide a more comprehensive concussion evaluation.

OBJECTIVES

To identify redundancy in current clinical baseline assessments of concussion and determine whether reactive balance adds unique information to these evaluations.

DESIGN

Cross-sectional study.

SETTING

Clinical assessment.

PATIENTS OR OTHER PARTICIPANTS

A total of 279 healthy National Collegiate Athletic Association Division I athletes.

INTERVENTION(S)

Two cohorts of data were collected at the beginning of the athletic season. For cohort 1 (n = 191), the Immediate Post-Concussion Assessment and Cognitive Tool, instrumented modified push and release (I-mP&R), and Balance Error Scoring System (BESS) were administered. For cohort 2 (n = 88), the I-mP&R, BESS, timed tandem gait, walking with eyes closed, and clinical reaction time were administered.

MAIN OUTCOME MEASURE(S)

The strengths of the relationships between the Immediate Post-Concussion Assessment and Cognitive Tool cognitive indices, mP&R clinical score, instrumented measures (BESS sway; I-mP&R time to stability, latency, and step length), BESS score, timed tandem gait, walking time to completion, and clinical reaction time were characterized.

RESULTS

The strongest interinstrument correlation value was between single-task time to stability from the I-mP&R and clinical reaction time but was considered weak (r = 0.35, P = .001). The mP&R and I-mP&R clinical scores were weakly associated with the other assessments.

CONCLUSIONS

Weak correlations between interassessment variables indicated that little redundancy was present in the current clinical evaluations. Furthermore, reactive balance represents a unique domain of function that may improve the comprehensiveness of clinical assessments.

Psychometric Properties of Computerized Cognitive Tools and Standard Neuropsychological Tests Used to Assess Sport Concussion: A Systematic Review

Athletic programs are more frequently turning to computerized cognitive tools in order to increase efficiencies in concussion assessment. However, assessment using a traditional neuropsychological test battery may provide a more comprehensive and individualized evaluation. Our goal was to inform sport clinicians of the best practices for concussion assessment through a systematic literature review describing the psychometric properties of standard neuropsychological tests and computerized tools. We conducted our search in relevant databases including Ovid Medline, Web of Science, PsycINFO, and Scopus. Journal articles were included if they evaluated psychometric properties (e.g., reliability, sensitivity) of a cognitive assessment within pure athlete samples (up to 30 days post-injury). Searches yielded 4,758 unique results. Ultimately, 103 articles met inclusion criteria, all of which focused on adolescent or young adult participants. Test-retest reliability estimates ranged from .14 to .93 for computerized tools and .02 to .95 for standard neuropsychological tests, with strongest correlations on processing speed tasks for both modalities, although processing speed tasks were most susceptible to practice effects. Reliability was improved with a 2-factor model (processing speed and memory) and by aggregating multiple baseline exams, yet remained below acceptable limits for some studies. Sensitivity to decreased cognitive performance within 72 h of injury ranged from 45%-93% for computerized tools and 18%-80% for standard neuropsychological test batteries. The method for classifying cognitive decline (normative comparison, reliable change indices, regression-based methods) affected sensitivity estimates. Combining computerized tools and standard neuropsychological tests with the strongest psychometric performance provides the greatest value in clinical assessment. To this end, future studies should evaluate the efficacy of hybrid test batteries comprised of top-performing measures from both modalities.

Does Frequency of Baseline Testing Influence Concussion Diagnostic Decision Making Among College Athletes

OBJECTIVE

Concussion is a growing public health concern given the large number of youth and collegiate athletes participating in collision sports. Sport-related concussions can have an adverse impact on student-athletes' health and academic performance. Athletic programs within academic organizations are motivated to employ the most effective and efficient diagnostic and recovery procedures to minimize the duration and impact of these symptoms on student-athletes' functioning. The present study sought to further our understanding regarding the value and frequency of conducting baseline assessments when evaluating sport-related concussions.

METHOD

A total of 41 athletes (24 men, 17 women) between the ages of 18 and 22 were evaluated following suspected concussive injury between 2015 and 2018. Post-injury test results were compared to baselines that had been collected either 1 or 2 years prior, and to normative data, to determine consistency in diagnostic outcomes.

RESULTS

Baseline test/retest reliability using Pearson's bivariate correlations revealed modest correlations on measures of verbal and visual memory (0.437-0.569) and very strong correlations on measures of reaction time and visual-motor speed (0.811-0.821). Meanwhile, minimal if any differences in clinical decision-making regarding the diagnostic outcome was observed when comparing post-injury test results to different baselines and to normative data.

CONCLUSIONS

Findings indicate that yearly baseline testing may not improve diagnostic accuracy, and in many cases, normative data may be adequate for decision-making. Additional research should evaluate the potential benefit of baseline testing in return-to-play decision-making among broader athletic populations.

Prevalence of invalid ImPACT baseline test results among high school athletes with invalidity and sandbagging indices

Objective: The comparison of baseline neuropsychological test results with post-concussion neuropsychological test results is a common practice to assess the aftermath of a sport-related concussion. The effectiveness of this approach is compromised when invalid baseline test performances occur. The present study was designed to assess the prevalence of invalid baseline test results of high school athletes, using the Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT). Method: A large sample of 8938 high school athletes' baseline test data were examined, including the four ImPACT Composite scores and three sets of embedded invalid indices: five ImPACT Invalidity Indicators, four ImPACT sandbagging red flags, and two ImPACT sandbagging subtest flags. Results: There were 8394 (93.91%) Valid scorers, who failed no Invalidity Indicators; 544 (6.09%) Invalid scorers, who failed at least one Invalidity Indicator, 2718 (30.41%) Red Flag scorers, who had at least one Red Flag score; and 4154 (46.47%) Subtest Flag scorers, who had at least one Subtest Flag score. Of the entire sample, 4485 (54.65%) failed at least one of the invalid indices. Conclusions: As in prior studies of high school athletes, the Invalidity Indicators identified a low portion (6.09%) of the athletes with invalid baseline test results, while other invalidity measures found 30.41% to 46.48% of the athletes producing questionable test results. The high rate of invalid test findings suggested in this research calls for greater efforts to improve the accuracy of baseline test results.

Influence of Personal and Injury-Related Factors Predicting Deficits in Quality of Life Domains Among Pediatric Athletes: Findings From the Sport Concussion Outcomes in Pediatrics Study

OBJECTIVE

To examine patient and injury factors that may predict quality of life (QoL) and symptom duration after concussion.

DESIGN

Prospective, longitudinal.

SETTINGS

Six children's hospital-based medical centers and 9 secondary school athletic training facilities.

PATIENTS

Pediatric patients (8-18 years) were enrolled as part of the Sport Concussion Outcomes in Pediatrics (SCOPE) study during their initial visit for a diagnosis of sport-related concussion.

INTERVENTIONS

Patients completed a medical history, the Postconcussion Symptom Inventory (PCSI), and Patient-Reported Outcomes Measurement Information System Pediatric Profile-25 (PROMIS-PP).

MAIN OUTCOME MEASURES

Eight predictor variables [age, sex, assessment time, loss of consciousness, amnesia and history of concussion, migraines, or attention-deficit hyperactivity disorder or (ADHD)] were assessed using regression models constructed for each dependent variable.

RESULTS

A total of 244 patients (15.1 ± 2.1 years, 41% female) were enrolled (mean = 5 ± 3 days after concussion; range = 1-14 days). Female sex, later initial assessment, and presence of amnesia were associated with lower QoL scores on several domains, whereas loss of consciousness was associated with higher QoL for fatigue. A history of migraines was associated with lower peer relationship QoL. Patients who subsequently developed persisting symptoms had lower mobility scores and higher anxiety, depressive symptom, fatigue, and pain interference scores.

CONCLUSIONS

Female sex, later clinic presentation, and amnesia were associated with a lower QoL related to mobility, anxiety, depressive symptoms, fatigue, and pain interference. Interestingly, previous concussion and preinjury ADHD diagnosis did not negatively impact postinjury QoL at the initial visit. Future studies should assess the influence of these factors on QoL at later postinjury time points using a concussion-specific outcomes instrument.

Sleep/Wake Disorders After Sports Concussion: Risks, Revelations, and Interventions

SUMMARY

Sleep-wake disturbances (SWDs) are among the most prevalent, persistent, and often disregarded sequelae of traumatic brain injury. Identification and treatment of SWDs in patients with traumatic brain injury is important and can complement other efforts to promote maximum functional recovery. SWDs can accentuate other consequences of traumatic brain injury, negatively affect mood, exacerbate pain, heighten irritability, and diminish cognitive abilities and the potential for recovery. The risk for sports injuries increases when athletes are sleep deprived. Sleep deprivation increases risk-taking behaviors, predisposing to injuries. SWDs are an independent risk factor for prolonged recovery after sports-related concussion. SWDs following sports-related concussion have been shown to impede recovery, rehabilitation, and return to preinjury activities.

Clinical recovery from concussion-return to school and sport: a systematic review and meta-analysis

OBJECTIVE

To define the time frames, measures used and modifying factors influencing recovery, return to school/learn (RTL) and return to sport (RTS) after sport-related concussion (SRC).

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

8 databases searched through 22 March 2022.

ELIGIBILITY CRITERIA

Studies with diagnosed/suspected SRC and interventions facilitating RTL/RTS or investigating the time and modifying factors for clinical recovery. Outcomes included days until symptom free, days until RTL and days until RTS. We documented study design, population, methodology and results. Risk of bias was evaluated using a modified Scottish Intercollegiate Guidelines Network tool.

RESULTS

278 studies were included (80.6% cohort studies and 92.8% from North America). 7.9% were considered high-quality studies, while 23.0% were considered high risk of bias and inadmissible. The mean days until symptom free was 14.0 days (95% CI: 12.7, 15.4; I²=98.0%). The mean days until RTL was 8.3 (95% CI: 5.6, 11.1; I²=99.3%), with 93% of athletes having a full RTL by 10 days without new academic support. The mean days until RTS was 19.8 days (95% CI: 18.8, 20.7; I²=99.3%), with high heterogeneity between studies. Several measures define and track recovery, with initial symptom burden remaining the strongest predictor of longer days until RTS. Continuing to play and delayed access to healthcare providers were associated with longer recovery. Premorbid and postmorbid factors (eg, depression/anxiety, migraine history) may modify recovery time frames. Though point estimates suggest that female sex or younger age cohorts take longer to recover, the heterogeneity of study designs, outcomes and overlap in CIs with male sex or older age cohorts suggests that all have similar recovery patterns.

CONCLUSION

Most athletes have full RTL by 10 days but take twice as long for an RTS.

PROSPERO REGISTRATION NUMBER

CRD42020159928.

A multicenter, longitudinal survey of headaches and concussions among youth athletes in the United States from 2009 to 2019

OBJECTIVE/ BACKGROUND

Chronic headaches and sports-related concussions are among the most common neurological morbidities in adolescents and young adults. Given that the two can overlap in presentation, studying the effects of one on another has proven difficult. In this longitudinal study, we sought to assess the relationship between chronic headaches and concussions, analyzing the role of historic concussions on chronic headaches, as well as that of premorbid headaches on future concussion incidence, severity, and recovery.

METHODS

This multi-center, longitudinal cohort study followed 7,453 youth athletes who were administered demographic and clinical surveys as well as a total of 25,815 Immediate Post-concussion Assessment and Cognitive Testing (ImPACT) assessments between 2009 and 2019. ImPACT was administered at baseline. Throughout the season concussions were examined by physicians and athletic trainers, followed by re-administration of ImPACT post-injury (PI), and at follow-up (FU), a median of 7 days post-concussion. Concussion incidence was calculated as the total number of concussions per patient years. Concussion severity and recovery were calculated as standardized deviations from baseline to PI and then FU in Symptom Score and the four neurocognitive composite ImPACT scores: Verbal Memory, Visual Memory, Processing Speed, and Reaction Time. Data were collected prospectively in a well-organized electronic format supervised by a national research-oriented organization with rigorous quality assurance. Analysis was preformed retrospectively.

RESULTS

Of the eligible athletes, 1,147 reported chronic headaches (CH) at the start of the season and 6,306 reported no such history (NH). Median age of the cohort was 15.4 ± 1.6 years, and students were followed for an average of 1.3 ± 0.6 years. A history of concussions (OR 2.31, P < 0.0001) was associated with CH. Specifically, a greater number of past concussions (r2 = 0.95) as well as concussions characterized by a loss of consciousness (P < 0.0001) were associated with more severe headache burden. The CH cohort had a greater future incidence of concussion than the NH cohort (55.6 vs. 43.0 per 100 patient-years, P < 0.0001). However, multivariate analysis controlling for demographic, clinical, academic, and sports-related variables yielded no such effect (OR 0.99, P = 0.85). On multivariable analysis the CH cohort did have greater deviations from baseline to PI and FU in Symptom Score (PI OR per point 1.05, P = 0.01, FU OR per point 1.11, P = 0.04) and Processing Speed (OR per point 1.08, P = 0.04), suggesting greater concussion severity and impaired symptomatic recovery as compared to the NH cohort.

CONCLUSION

A history of concussions was a significant contributor to headache burden among American adolescents and young adults. However, those with chronic headaches were not more likely to be diagnosed with a concussion, despite presenting with more severe concussions that had protracted recovery. Our findings not only suggest the need for conservative management among youth athletes with chronic headaches, they also indicate a potential health care gap in this population, in that those with chronic headaches may be referred for concussion diagnosis and management at lower rates than those with no such comorbidity.

Test-Retest Reliability and Efficacy of Individual Symptoms in Concussion Management

OBJECTIVE

(1) To determine test-retest reliability of individual Sport Concussion Assessment Tool-Third Edition (SCAT-3) symptom scores and symptom severity scores, (2) to examine the specificity/sensitivity of individual SCAT-3 symptom severity scores acutely (24-48 hours) postconcussion, and (3) to develop a model of symptoms best able to differentiate concussed from nonconcussed student athletes and cadets.

DESIGN

Prospective, longitudinal, and cross-sectional.

SETTING

Twenty-six civilian schools and 3 US service academies.

PARTICIPANTS

Collegiate student athletes (n = 5519) and cadets (n = 5359) from the National Collegiate Athletic Association-Department of Defense Grand Alliance: Concussion Assessment, Research and Education Consortium, including 290 student athletes and 205 cadets, assessed 24 to 48 hours postconcussion.

INDEPENDENT VARIABLES

Concussed and nonconcussed student athlete and cadet groups.

MAIN OUTCOME MEASURES

Sport Concussion Assessment Tool-Third Edition individual symptom severity scores, total symptom scores, and symptom severity scores.

RESULTS

Results indicated poor test-retest reliability across all symptom scores (intraclass correlation coefficient = 0.029-0.331), but several individual symptoms had excellent predictive capability in discriminating concussed from nonconcussed participants (eg, headache, pressure in the head, and don't feel right had area under the curve >0.8, sensitivity >70%, and specificity >85%) regardless of baseline testing. These symptoms were consistent with Chi-square Automatic Interaction Detector classification trees with the highest mean probability.

CONCLUSIONS

Findings support the excellent diagnostic accuracy of honest symptom reporting, notwithstanding the known limitations in symptom underreporting, and suggest that there may be added value in examining individual symptoms rather than total symptom scores and symptom severity scores alone. Finally, findings suggest that baseline testing is not necessary for interpreting postconcussion symptom scores.

Identifying Suitable Cognitive Assessments for Children and Adolescents with Acquired Brain Injury for use by Occupational Therapists in Acute and Subacute Hospital Contexts: A Scoping Review

AIM

To appraise the literature evaluating psychometric properties and clinical utility of cognitive assessments available for use by occupational therapists in acute and subacute hospital contexts with children aged 4-18 years diagnosed with an acquired brain injury.

METHODS

Scoping review. Assessments and associated studies were evaluated for their methodologic quality using the COnsensus-based standard for the Selection of health Measurement INstruments (COSMIN) strategy.

RESULTS

Forty-one studies evaluated 49 different assessments and reported on assessment psychometrics (n = 40), clinical utility (n = 1) and five reported on both. Fourteen assessments with the strongest psychometric properties and clinical utility were shortlisted.

CONCLUSION

A gold standard assessment was not identified. Instead, a shortlist of functional, performance-based, technology-based, and self-report assessments were identified as relevant for the setting and population, but requiring further investigation. Future development of a cognitive assessment in partnership with therapists working in tertiary pediatric settings will ensure optimal clinical utility and validity.

Use of acute cognitive symptom cluster to predict return-to-learn duration following a sport-related concussion

OBJECTIVE

Adolescents sustaining sport-related concussion often experience difficulties with the return-to-learn (RTL) process. Whereas the initial symptom burden has predicted prolonged RTL, no studies have established a relationship between acute cognitive symptoms and RTL duration. The authors sought to evaluate the relationship between initial cognitive symptoms and RTL duration.

METHODS

A retrospective single-institution cohort study of adolescent athletes aged 12-23 years who were evaluated within 5 days of a diagnosed sport-related concussion between November 2017 and October 2020 was conducted. Athletes missing cognitive symptom ratings and RTL data were excluded. The primary exposure variable was the Cognitive Symptom Ratio (CSR), defined as total cognitive symptom cluster score divided by total Post-Concussion Symptom Scale (PCSS) score from the initial clinic visit. Primary and secondary outcomes were time to RTL and total length of care, respectively. Multivariable Cox proportional hazards modeling was used to assess the effect of CSR on RTL duration.

RESULTS

Of 653 athletes evaluated within 5 days of injury, 346 patients were included in the final cohort. Athletes reported a median initial PCSS score of 21 (interquartile range [IQR] 6-37) and a median cognitive symptom score of 4 (IQR 0-9). Most patients endorsed some degree of difficulty concentrating (n = 212, 61.3%). The median CSR was 0.18 (IQR 0.00-0.27). On multivariable regression analysis, a higher CSR was associated with prolonged RTL duration (HR 0.30, 95% CI 0.13-0.69, p = 0.004). When initial PCSS score was added to the model, the previously significant association between CSR and RTL was no longer significant (HR 0.67, 95% CI 0.29-1.59, p = 0.367). When dichotomized based on frequency distribution, a higher proportion of patients with low CSR achieved RTL by 7 days postinjury (82.2% vs 69.9%, p = 0.007), a difference not seen at 14 days (92.2% vs 87.3%, p = 0.133).

CONCLUSIONS

An acute ratio of cognitive symptoms may predict patients at increased risk for prolonged RTL and those with normal PCSS scores who may experience difficulties once resuming school activities.

Assessing Cognitive Behavioral Therapy for Insomnia to Improve Sleep Outcomes in Individuals With a Concussion: Protocol for a Delayed Randomized Controlled Trial

BACKGROUND

Sleep disturbances post concussion have been associated with more frequent and severe concussion symptoms and may contribute to poorer recovery. Cognitive behavioral therapy for insomnia (CBT-I) is an effective treatment for insomnia; however, it remains unclear if this treatment method is effective in improving sleep outcomes and reducing concomitant postconcussion symptoms.

OBJECTIVE

The hypotheses for this study are that (1) CBT-I will improve sleep outcomes and (2) CBT-I will improve concomitant postconcussion symptoms.

METHODS

In total, 40 individuals who are within ≥4 weeks of postconcussion injury and have insomnia symptoms will be enrolled in this randomized controlled trial. Participants will be randomized into either a group that starts a 6-week CBT-I program immediately after baseline or a waitlist control group that starts CBT-I following a 6-week waiting period. All participants will be reassessed 6, 12, and 18 weeks after baseline. Standardized assessments measuring sleep outcomes, postconcussion symptoms, and mood will be used. Linear regression and t tests will be used for statistical analyses.

RESULTS

Enrollment of 40 participants was completed July 2022, data collection will be completed in November 2022, and publication of main findings is anticipated in May 2023. It is anticipated that participants experience reduced insomnia symptoms and postconcussion symptoms following CBT-I and these improvements will be retained for at least 12 weeks. Additionally, we expect to observe a positive correlation between sleep and postconcussion symptom improvement.

CONCLUSIONS

Successful completion of this pilot study will allow for a better understanding of the treatment of insomnia and postconcussion symptoms in individuals following a concussion.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04885205; https://clinicaltrials.gov/ct2/show/NCT04885205.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/38608.

Speech-Language Pathology Assessment of School-Age Children With Traumatic Brain Injury: A Scoping Review

PURPOSE

The purpose of this study was to describe evidenced-based assessment practices for school-age children with any severity of traumatic brain injury (TBI) that could inform the practice of speech-language pathologists (SLPs).

METHOD

A scoping review of the literature was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. Included studies were assigned thematic labels related to the International Classification of Functioning, Disability and Health framework.

RESULTS

A total of 30 articles met inclusion criteria for this study. Most studies included adolescent or teenage participants with mild TBIs in the acute stages of recovery. Twenty-two different assessments were reported on for children with TBI addressing body structure/function (n = 19 assessments), activities and participation (n = 1 assessment), and contextual factors (n = 3 assessments).

CONCLUSIONS

Current assessments have a clear focus on body structure/function for adolescents after childhood TBI, with little research evidence to address activities and participation or contextual factors. The limited amount of functional assessments directly related to the SLP scope of practice stresses the need for additional research on ecologically valid and comprehensive assessment approaches for school-age children with TBI. The results of this review could be utilized as a resource in providing theoretical, evidence-based, and person-centered evaluation methods for children with TBI.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.20422170.

Ambulatory Assessment in Concussion Clinical Care and Rehabilitation

Concussion is a mild traumatic brain injury that is characterized by a wide range of physical, emotional, and cognitive symptoms as well as neurocognitive, vestibular, and ocular impairments that can negatively affect daily functioning and quality of life. Clinical consensus statements recommend a targeted, clinical profile-based approach for management and treatment. This approach requires that clinicians utilize information obtained via a clinical interview and a multi-domain assessment battery to identify clinical profile(s) (e.g., vestibular, mood/anxiety, ocular, migraine, cognitive fatigue) and prescribe a corresponding treatment/rehabilitation program. Despite this comprehensive approach, the clinical picture can be limited by the accuracy and specificity of patient reports (which often conflate timing and severity of symptomology), as well as frequency and duration of exposure to symptom exacerbating environments (e.g., busy hallways, sitting in the back seat of a car). Given that modern rehabilitation programs leverage the natural environment as a tool to promote recovery (e.g., expose-recover approach), accurate characterization of the patient clinical profile is essential to improving recovery outcomes. Ambulatory assessment methodology could greatly benefit concussion clinical care by providing a window into the symptoms and impairments experienced by patients over the course of their daily lives. Moreover, by evaluating the timing, onset, and severity of symptoms and impairments in response to changes in a patient's natural environment, ambulatory assessments can provide clinicians with a tool to confirm clinical profiles and gauge effectiveness of the rehabilitation program. In this perspective report, we review the motivations for utilizing ambulatory assessment methodology in concussion clinical care and report on data from a pilot project utilizing smart phone-based, ambulatory assessments to capture patient reports of symptom severity, environmental exposures, and performance-based assessments of cognition for 7 days following their initial evaluation.

Systematic Review of Pre-injury Migraines as a Vulnerability Factor for Worse Outcome Following Sport-Related Concussion

Background

Individuals with migraine disorders may be affected differently by concussions compared to individuals without migraine disorders. Prior studies on this topic have had mixed results. The purpose of this study was to systematically examine clinical outcomes following a sport-related concussion in athletes who have a pre-injury history of migraines.

Methods

All studies published prior to 15 May 2021 that examined pre-injury migraines as a possible predictor of clinical recovery from concussion were included. The search included (i) sport/athlete-related terms, (ii) concussion-related terms, and (iii) diverse predictor/modifier terms. After removing duplicates, 5,118 abstracts were screened, 538 full-text articles were reviewed, and 27 articles were included for narrative synthesis without meta-analysis (n = 25 with unique samples). Risk of bias was assessed using the domain-based Quality In Prognosis Studies (QUIPS) tool.

Results

Most studies did not find pre-injury migraines to be associated with concussion outcome, but several of these studies had small or very small sample sizes, as well as other methodological weaknesses. Risk of bias varied greatly across studies. Some of the larger, better-designed studies suggested pre-injury migraines may be a risk factor for worse concussion outcome. Most articles examined pre-injury migraines as an exploratory/secondary predictor of concussion outcome; very few were designed to examine migraine as the primary focus of the study. Migraine history was predominantly based on self-report and studies included minimal information about migraine (e.g., age of onset, frequency/severity, past treatment). Effect sizes were usually not reported or able to be calculated from reported study data.

Conclusion

There is some evidence to suggest that pre-injury migraines may be a vulnerability factor for a worse outcome following concussion, with studies having the lowest risk of bias reporting a positive association. Future studies should focus on improving methodological quality when assessing the relationship between pre-injury migraines and concussion outcome and better characterizing pre-injury migraine status.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019128292, identifier: PROSPERO 2019 CRD42019128292.

Sleep and Athletic Performance: Impacts on Physical Performance, Mental Performance, Injury Risk and Recovery, and Mental Health: An Update

Sleep health is an important consideration for athletic performance. Athletes are at high risk of insufficient sleep duration, poor sleep quality, daytime sleepiness and fatigue, suboptimal sleep schedules, irregular sleep schedules, and sleep and circadian disorders. These issues likely have an impact on athletic performance via several domains. Sleep loss and/or poor sleep quality can impair muscular strength, speed, and other aspects of physical performance. Sleep issues can also increase risk of concussions and other injuries and impair recovery after injury. Cognitive performance is also impacted in several domains, including vigilance, learning and memory, decision making, and creativity.

Quantitative Assessment of Balance for Accurate Prediction of Return to Sport From Sport-Related Concussion

BACKGROUND

Determining when athletes are able to return to sport after sports-related concussion (SRC) can be difficult.

HYPOTHESIS

A multimodal algorithm using cognitive testing, postural stability, and clinical assessment can predict return to sports after SRC.

STUDY DESIGN

Prospective cohort.

LEVEL OF EVIDENCE

Level 2b.

METHODS

Athletes were evaluated within 2 to 3 weeks of SRC. Clinical assessment, Immediate Post Concussion and Cognitive Testing (ImPACT), and postural stability (Equilibrate) were conducted. Resulting data and machine learning techniques were used to optimize an algorithm discriminating between patients ready to return to sports versus those who are not yet recovered. A Fisher discriminant analysis with leave-one-out cross-validation assessed every combination of 2 to 5 factors to optimize the algorithm with lowest combination of type I and type II errors.

RESULTS

A total of 193 athletes returned to contact sports after SRC at a mean 84.6 days (±88.8). Twelve subjects (6.2%) sustained repeat SRC within 12 months after return to sport. The combination of (1) days since injury, (2) total symptom score, and (3) nondominant foot tandem eyes closed postural stability score created the best algorithm for discriminating those ready to return to sports after SRC with lowest type I error (13.85%) and type II error (11.25%). The model was able to discriminate between patients who were ready to successfully return to sports versus those who were not with area under the receiver operating characteristic (ROC) curve of 0.82.

CONCLUSION

The algorithm predicts successful return to sports with an acceptable sensitivity and specificity. Tandem balance with eyes closed measured with a video-force plate discriminated athletes ready to return to sports from SRC when combined in multivariate analysis with symptom score and time since injury. The combination of these factors may pose advantages over computerized neuropsychological testing when evaluating young athletes with SRC for return to contact sports.

CLINICAL RELEVANCE

When assessing young athletes sustaining an SRC in a concussion clinic, measuring postural stability in tandem stance with eyes closed combined with clinical assessment and cognitive recovery is effective to determine who is ready to successfully return to sports.

High altitude modulates concussion incidence, severity, and recovery in young athletes

BACKGROUND

High altitude may affect concussion, but prior studies are limited . We tested whether high altitude affects sport-related concussion (SRC) incidence, severity, and recovery.

METHODS

Twenty-five thousand eight hundred fifteen baseline and post-injury Immediate Post-Concussion Assessment and Cognitive Testing results were compiled from Florida and Colorado, low (27 m or 62 m) and high (1,640 m or 1,991 m) altitude locations, respectively. Incidence, severity, and recovery of injury were compared between altitudes.

RESULTS

High altitude was associated with increased suspected concussion incidence (adjusted OR, 2.04 [95% CI, 1.86 to 2.24];P < .0001). However, high altitude was associated with lower concussion severity measured by Severity Index (SI) (adjusted OR, 0.42 [95% CI, 0.37 to 0.49];P < .0001). High altitude was associated with decreased recovery from post-concussive symptoms in the migraine (β, -2.72 [95% CI, -3.31 to -2.13]; P < .0001), cognitive (β, -1.88 [95% CI, -2.40 to -1.36]; P < .0001), and sleep symptom clusters (β, -0.30 [95% CI, -0.52 to -0.08]; P = .007). Athletes with initial SI≥8 showed prolonged neurocognitive dysfunction at high altitude (HR, 1.38 [95% CI, 1.06 to 1.81]; P = .02).

CONCLUSIONS

High altitude was associated with increased suspected concussions and prolonged recovery but less severe initial injury.

Effect of Screen Time on Recovery From Concussion: A Randomized Clinical Trial

IMPORTANCE

There are limited data to guide screen time recommendations after concussion.

OBJECTIVE

To determine whether screen time in the first 48 hours after concussion has an effect on the duration of concussive symptoms.

DESIGN, SETTING, AND PARTICIPANTS

This randomized clinical trial was conducted in the pediatric and adult emergency departments of a tertiary medical center between June 2018 and February 2020. Participants included a convenience sample of patients aged 12 to 25 years presenting to the emergency department within 24 hours of sustaining a concussion. A total of 162 patients were approached, 22 patients met exclusion criteria, and 15 patients declined participation; 125 participants were enrolled and randomized.

INTERVENTIONS

Patients were either permitted to engage in screen time (screen time permitted group) or asked to abstain from screen time (screen time abstinent group) for 48 hours after injury.

MAIN OUTCOMES AND MEASURES

The primary outcome was days to resolution of symptoms, defined as a total Post-Concussive Symptom Scale (PCSS) score of 3 points or lower. Patients completed the PCSS, a 22-symptom scale that grades each symptom from 0 (not present) to 6 (severe), each day for 10 days. Kaplan-Meier curves and Cox regression modeling were used to compare the 2 groups. A Wilcoxon rank sum test was also performed among participants who completed the PCSS each day through recovery or conclusion of the study period.

RESULTS

Among 125 patients with concussion, the mean (SD) age was 17.0 (3.4) years; 64 participants (51.2%) were male. A total of 66 patients were randomized to the screen time permitted group, and 59 patients were randomized to the screen time abstinent group. The Cox regression model including the intervention group and the patient's self-identified sex demonstrated a significant effect of screen time (hazard ratio [HR], 0.51; 95% CI, 0.29-0.90), indicating that participants who engaged in screen time were less likely to recover during the study period. In total, 91 patients were included in the Wilcoxon rank sum test (47 patients from the screen time permitted group, and 44 patients from the screen time abstinent group). The screen time permitted group had a significantly longer median recovery time of 8.0 days (interquartile range [IQR], 3.0 to >10.0 days) compared with 3.5 days (IQR, 2.0 to >10.0 days; P = .03) in the screen time abstinent group. The screen time permitted group reported a median screen time of 630 minutes (IQR, 415-995 minutes) during the intervention period compared with 130 minutes (IQR, 61-275 minutes) in the screen time abstinent group.

CONCLUSIONS AND RELEVANCE

The findings of this study indicated that avoiding screen time during acute concussion recovery may shorten the duration of symptoms. A multicenter study would help to further assess the effect of screen time exposure.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03564210.

Influence of Sleep Dysfunction on Concussion Assessment Outcomes Among Adolescent Athletes After Concussion and Healthy Controls

BACKGROUND

Sleep dysfunction (SD) is associated with a high symptom burden and lower neurocognitive performance after concussion and on baseline testing without injury. However, few studies have compared concussed athletes and controls with and without SD on clinical outcomes.

OBJECTIVE

To evaluate differences in clinical outcomes among both concussed athletes and matched controls with and without SD.

DESIGN

Retrospective cross-sectional study.

PARTICIPANTS

Participants aged 12 to 20 years were recruited from a concussion clinic (n = 50 patients) and research registry/flyers (n = 50 healthy age-/sex-matched controls). Participants were categorized by self-reported SD into one of 4 groups: sport-related concussion (SRC) + SD, SRC only, SD only, and controls.

MAIN OUTCOME MEASURES

Post-Concussion Symptom Scale (PCSS), Vestibular/Oculomotor Screening (VOMS), and neurocognitive testing (Immediate Postconcussion Assessment Cognitive Test).

RESULTS

Compared with the SRC only group, the SRC + SD group performed worse on all neurocognitive domains, had a higher total symptom score, and endorsed more symptoms on most VOMS items. In addition, the SRC + SD group was at an increased likelihood of having at least 1 abnormal VOMS item compared with SRC only group. The SRC only group had neurocognitive test scores and symptom reports statistically similar to the SD only group.

CONCLUSION

Sleep dysfunction after concussion is related to worse neurocognitive performance and higher concussion symptom reporting. This study extended findings to suggest vestibular symptomology is worse among athletes with SD after injury compared to injured athletes without SD. Similar performances on concussion assessments for the SRC only and SD only groups suggest SD may appear similar to clinical presentation of concussion, even at baseline in the absence of SRC.

Association between post-concussion symptoms and oculomotor deficits among adolescents

PURPOSE

To examine the association between Post-Concussion Symptom Scale (PCSS) scores, Convergence Insufficiency Symptom Survey (CISS) scores, and oculomotor deficits post-concussion.

METHODS

Records of adolescent patients examined in a multidisciplinary concussion clinic between July 2014 and May 2019 were reviewed. PCSS and CISS scores, results of eye examination and oculomotor assessment, concussion history, and demographics were abstracted.

RESULTS

One hundred and forty patient records (median age, 15.3 years; 52 males, presented 109 days (median) from their most recent concussion) met inclusion criteria. Mean total scores on PCSS and CISS were 46.67 ± 25.89 and 27.13 ± 13.22, respectively, and were moderately correlated with each other (r = 0.53, p < .001). Oculomotor deficits were observed in 123 (88%) patients. Step-wise linear regression identified increased PCSS total score to be significantly associated with decreased amplitude of accommodation (p < .001). Increased CISS total score was significantly associated with receded near point of convergence, developmental eye movement test error scores, and cause of concussion.

CONCLUSION

High PCSS scores may indicate an accommodation deficit and thus prompt an oculomotor assessment in patients following a concussion. Using the CISS and a detailed oculomotor assessment may reveal underlying oculomotor deficits, which may benefit from treatment.

The Current Status of Concussion Assessment Scales: A Critical Analysis Review

»

Concussion is a complex pathophysiologic process that affects the brain; it is induced by biomechanical forces, with alteration in mental status with or without loss of consciousness.

»

Concussion assessment tools may be broadly categorized into (1) screening tests such as the SAC (Standardized Assessment of Concussion), the BESS (Balance Error Scoring System), and the King-Devick (KD) test; (2) confirmatory tests including the SCAT (Sport Concussion Assessment Tool), the ImPACT (Immediate Post-Concussion Assessment and Cognitive Testing), and the VOMS (Vestibular Oculomotor Screening); and (3) objective examinations such as brain network activation (BNA) analysis, imaging studies, and physiologic markers.

»

The KD, child SCAT3 (cSCAT3), child ImPACT (cImPACT), and VOMS tests may be used to evaluate for concussion in the pediatric athlete.

»

Future work with BNA, functional magnetic resonance imaging, diffusion tensor imaging, and serum biomarkers may provide more objective assessment of concussion, neurologic injury, and subsequent recovery.

Sex-Related Differences in the Incidence, Severity, and Recovery of Concussion in Adolescent Student-Athletes Between 2009 and 2019

BACKGROUND

The sex of an athlete is thought to modulate concussion incidence; however, the effects of sex on concussion severity and recovery are less clear.

PURPOSE

To evaluate sex differences in concussion severity and recovery using a large, heterogeneous sample of young student-athletes with the goal of understanding how sex affects concussion outcomes in young athletes.

STUDY DESIGN

Cohort study; Level of evidence, 3.

METHODS

The Immediate Post-Concussion Assessment and Cognitive Testing results of 11,563 baseline and 5216 postinjury tests were used to calculate the incidence of concussion of adolescent male and female student-athletes ages 12 to 22 years (median, 15 years). The postinjury tests of 3465 male and 1751 female student-athletes evaluated for concussion or head trauma were used to assess differences in the Severity Index (SI) and recovery. Chi-square tests and t tests were used to compare differences in demographic characteristics, incidence, and SI between the 2 cohorts. Multivariable linear, logistic, and Cox proportional hazards regressions were used to control for differences between cohorts in analyses of incidence, SI, and recovery.

RESULTS

When we controlled for demographic differences, female participants had higher odds of concussion (odds ratio, 1.62; 95% CI, 1.40-1.86; P < .0001) and higher SI after concussion (β = 0.67; 95% CI, 0.02-1.32; P = .04). This discrepancy in SI was a result of differences in Symptom (2.40 vs 2.94; P < .0001) and Processing Speed (0.91 vs 1.06; P = .01) composite scores between male and female participants, respectively. We found no effect of sex on time to recovery when controlling for initial concussion SI (hazard ratio, 0.94; 95% CI, 0.78-1.12; P = .48).

CONCLUSION

Using large, multisport cohorts, this study provides evidence that female athletes are at higher risk for more concussions and these concussions are more severe, but male and female athletes have similar recovery times when the analysis controls for initial concussion SI.

Predicting outcome following mild traumatic brain injury: protocol for the longitudinal, prospective, observational Concussion Recovery (CREST) cohort study

INTRODUCTION

Mild traumatic brain injury (mTBI) is a complex injury with heterogeneous physical, cognitive, emotional and functional outcomes. Many who sustain mTBI recover within 2 weeks of injury; however, approximately 10%-20% of individuals experience mTBI symptoms beyond this 'typical' recovery timeframe, known as persistent post-concussion symptoms (PPCS). Despite increasing interest in PPCS, uncertainty remains regarding its prevalence in community-based populations and the extent to which poor recovery may be identified using early predictive markers.

OBJECTIVE

(1) Establish a research dataset of people who have experienced mTBI and document their recovery trajectories; (2) Evaluate a broad range of novel and established prognostic factors for inclusion in a predictive model for PPCS.

METHODS AND ANALYSIS

The Concussion Recovery Study (CREST) is a prospective, longitudinal observational cohort study conducted in Perth, Western Australia. CREST is recruiting adults aged 18-65 from medical and community-based settings with acute diagnosis of mTBI. CREST will create a state-wide research dataset of mTBI cases, with data being collected in two phases. Phase I collates data on demographics, medical background, lifestyle habits, nature of injury and acute mTBI symptomatology. In Phase II, participants undergo neuropsychological evaluation, exercise tolerance and vestibular/ocular motor screening, MRI, quantitative electroencephalography and blood-based biomarker assessment. Follow-up is conducted via telephone interview at 1, 3, 6 and 12 months after injury. Primary outcome measures are presence of PPCS and quality of life, as measured by the Post-Concussion Symptom Scale and the Quality of Life after Brain Injury questionnaires, respectively. Multivariate modelling will examine the prognostic value of promising factors.

ETHICS AND DISSEMINATION

Human Research Ethics Committees of Royal Perth Hospital (#RGS0000003024), Curtin University (HRE2019-0209), Ramsay Health Care (#2009) and St John of God Health Care (#1628) have approved this study protocol. Findings will be published in peer-reviewed journals and presented at scientific conferences.

TRIAL REGISTRATION NUMBER

ACTRN12619001226190.

Evaluation of CogSport for acute concussion diagnosis in cricket

Objective

The diagnosis of sport-related concussion is a challenge for practitioners given the variable presentation and lack of a universal clinical indicator. The aim of this study was to describe the CogSport findings associated with concussion in elite Australian cricket players, and to evaluate the diagnostic ability of CogSport for this cohort.

Methods

A retrospective study design was used to evaluate CogSport performance of 45 concussed (male n=27, mean age 24.5±4.5 years; female n=18, 23.5±3.5 years) compared with 45 matched non-concussed (male n=27, mean age 27.3±4.5 years; female n=18, 24.1±4.5 years) elite Australian cricket players who sustained a head impact during cricket specific activity between July 2015 and December 2019.

Results

Median number of reported symptoms on the day of injury for concussed players was 7 out of 24, with a median symptom severity of 10 out of 120. CogSport performance deteriorated significantly in concussed cricket players’ Detection speed (p<0.001), Identification speed (p<0.001), One Back speed (p=0.001) and One Back accuracy (p=0.022) components. These components, when considered independently and together, had good diagnostic utility.

Conclusion

This study demonstrated good clinical utility of CogSport for identifying concussed cricket players, particularly symptoms and Detection, Identification and One Back components. Therefore, CogSport may be considered a useful tool to assist concussion diagnosis in this cohort, and the clinician may place greater weight on the components associated with concussion diagnosis.

Sport Contact Level Affects Post-Concussion Neurocognitive Performance in Young Athletes

OBJECTIVE

Contact level affects the incidence of sports-related concussion. However, the effects of contact level on injury severity and recovery are less clear and are the focus of this study.

METHOD

Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) for athletes aged 12-22 was performed at baseline (n = 10,907 for 7,058 athletes), after suspected concussion determined by physicians or athletic trainers (n = 5,062 for 4,419 athletes), and during follow-up visits (n = 3,264 for 2,098 athletes). Athletes played contact/collision (CC), limited contact (LC), and noncontact (NC) sports. Injury incidence, severity, and recovery were measured using raw and change from baseline neurocognitive test scores. Comparisons between groups used univariate analysis and multivariable regression controlling for demographic variables.

RESULTS

Compared to CC athletes, LC and NC athletes showed decreased suspected concussion incidence. At initial post-injury testing, all neurocognitive test scores were similar between groups except changes from baseline for processing speed were improved for LC compared to CC athletes. Upon follow-up testing, raw neurocognitive scores were better for NC compared to the contact collision athletes in verbal memory, processing speed, total symptom score, migraine cluster, cognitive cluster, and neuropsychiatric cluster scores. For change from baseline scores, LC athletes exhibited better performance on verbal memory, processing speed, and reaction time but also showed higher neuropsychiatric scores than CC athletes.

CONCLUSION

Neurocognitive scores between contact levels were similar at the first post-injury test. However, follow up showed many improved scores and symptoms for limited and NC sports compared to CC sports, which may indicate faster recovery.

Subtypes of Sport-Related Concussion: a Systematic Review and Meta-cluster Analysis

Objective

Current clinical guidelines provide a unitary approach to manage sport-related concussion (SRC), while heterogeneity in the presentation of symptoms suggests that subtypes of SRC may exist. We systematically reviewed the available evidence on SRC subtypes and associated clinical outcomes.

Data Sources

Ovid Medline, Embase, PsycINFO, and SPORTDiscus

Eligibility Criteria for Selecting Studies

Electronic databases were searched for studies: (i) identifying SRC symptom clusters using classification methodology; or (ii) associating symptom clusters to clinical outcome variables. A total of 6,146 unique studies were identified, of which 75 full texts were independently assessed by two authors for eligibility. A total of 22 articles were included for systematic review.

Data Extraction

Two independent authors performed data extraction and risk of bias analysis using the Cochrane Collaboration tool.

Data Synthesis

Six studies found evidence for existence of SRC symptom clusters. Combining the available literature through Multiple Correspondence Analysis (MCA) provided evidence for the existence of a migraine cluster, a cognitive–emotional cluster, a sleep–emotional cluster, a neurological cluster, and an undefined feelings cluster. Nineteen studies found meaningful associations between SRC symptom clusters and clinical outcomes. Clusters mapping to the migraine cluster were most frequently reported in the literature and were most strongly related to aspects of clinical outcome.

Conclusions

The available literature provides evidence for the existence of at least five subtypes in SRC symptomatology, with clear relevance to clinical outcome. Systematically embedding the differentiation of SRC subtypes into prognosis, clinical management, and intervention strategies may optimize the recovery from SRC.

Electronic supplementary material

The online version of this article (10.1007/s40279-020-01321-9) contains supplementary material, which is available to authorized users.

Assessment and Treatment of Concussion in the Pediatric Population

Traumatic brain injury (TBI) is common in children. The evaluation and management of children with TBI is based on the research performed in adults. There is a relative paucity of research in the literature involving children and many of the practice recommendations for this age are based on expert opinion in the absence of good research studies in both sports and non-sports-related injuries. The pediatric population is heterogeneous and the approach might be specific for infants, preschoolers, school age children, and adolescents. Children may also suffer from neurodevelopmental disabilities, making their evaluation even more challenging. Adult neurologists are often asked to see children due to increasing demands. This review will focus on specific issues related to TBI in children that might be useful to adult neurologists. Science, however, is evolving rapidly and physicians should make sure to remain up to date to offer evidence-based services to their patients.

Discrepancies in child and parent reporting of concussion symptoms

Objective: To assess discrepancies between child and parent symptom reports following concussion.Methods: Prospective cohort study involving 61 patients, age 7-21 years, diagnosed with a concussion within the previous 14 days. Children/parents completed the Child SCAT-3 symptom inventory at enrollment and 4 weeks post-injury. A within-subjects t-test was used to compare differences in child/parent response for each of 20 individual symptoms, 4 symptom domains, and total symptom severity. Pearson correlations were used to measure agreement between child/parent responses. A repeated measures analysis of variance assessed the effect of time on child/parent symptom discrepancy.Results: At enrollment, children reported higher symptom severity for 'distracted easily' (adj. p = .015) and 'confused' (adj. p = .015). There was moderate-to-high (r > 0.3) agreement between children and parents for more individual symptoms at enrollment (18/20) than at 4 weeks post-injury (14/20). Age had no effect (p > .05) on the discrepancy between child/parent reports.Conclusions: Although there was moderate-to-strong agreement between child/parent reports of concussion symptoms, discrepancies in individual cognitive symptom reports exist, in both children and adolescents. Therefore, collection of parent scales may provide useful information when tracking cognitive symptoms in adolescent patients, who may under-report or under-recognize cognitive deficits.

Validation of a Machine Learning Brain Electrical Activity-Based Index to Aid in Diagnosing Concussion Among Athletes

IMPORTANCE

An objective, reliable indicator of the presence and severity of concussive brain injury and of the readiness for the return to activity has the potential to reduce concussion-related disability.

OBJECTIVE

To validate the classification accuracy of a previously derived, machine learning, multimodal, brain electrical activity-based Concussion Index in an independent cohort of athletes with concussion.

DESIGN, SETTING, AND PARTICIPANTS

This prospective diagnostic cohort study was conducted at 10 clinical sites (ie, US universities and high schools) between February 4, 2017, and March 20, 2019. A cohort comprising a consecutive sample of 207 athletes aged 13 to 25 years with concussion and 373 matched athlete controls without concussion were assessed with electroencephalography, cognitive testing, and symptom inventories within 72 hours of injury, at return to play, and 45 days after return to play. Variables from the multimodal assessment were used to generate a Concussion Index at each time point. Athletes with concussion had experienced a witnessed head impact, were removed from play for 5 days or more, and had an initial Glasgow Coma Scale score of 13 to 15. Participants were excluded for known neurologic disease or history within the last year of traumatic brain injury. Athlete controls were matched to athletes with concussion for age, sex, and type of sport played.

MAIN OUTCOMES AND MEASURES

Classification accuracy of the Concussion Index at time of injury using a prespecified cutoff of 70 or less (total range, 0-100, where ≤70 indicates it is likely the individual has a concussion and >70 indicates it is likely the individual does not have a concussion).

RESULTS

Of 580 eligible participants with analyzable data, 207 had concussion (124 male participants [59.9%]; mean [SD] age, 19.4 [2.5] years), and 373 were athlete controls (187 male participants [50.1%]; mean [SD] age, 19.6 [2.2] years). The Concussion Index had a sensitivity of 86.0% (95% CI, 80.5%-90.4%), specificity of 70.8% (95% CI, 65.9%-75.4%), negative predictive value of 90.1% (95% CI, 86.1%-93.3%), positive predictive value of 62.0% (95% CI, 56.1%-67.7%), and area under receiver operator characteristic curve of 0.89. At day 0, the mean (SD) Concussion Index among athletes with concussion was significantly lower than among athletes without concussion (75.0 [14.0] vs 32.7 [27.2]; P < .001). Among athletes with concussion, there was a significant increase in the Concussion Index between day 0 and return to play, with a mean (SD) paired difference between these time points of -41.2 (27.0) (P < .001).

CONCLUSIONS AND RELEVANCE

These results suggest that the multimodal brain activity-based Concussion Index has high classification accuracy for identification of the likelihood of concussion at time of injury and may be associated with the return to control values at the time of recovery. The Concussion Index has the potential to aid in the clinical diagnosis of concussion and in the assessment of athletes' readiness to return to play.

Neighborhood disadvantage is associated with stable deficits in neurocognitive functioning in traumatically-injured adults

BACKGROUND

In trauma-exposed adults, the relationship between an individual's socioeconomic position (SEP) and post-traumatic stress disorder (PTSD) has been well demonstrated. One potential mechanism by which the stress associated with lower SEPs may impact trauma outcomes is through changes in neurocognition. In both healthy and clinical samples, area-level factors also appear to be independently related to neurocognition. Far less is known about how neighborhood socioeconomic disadvantage, may impact cognition in traumatically-injured adults. The current study employed hierarchical linear modeling to longitudinally investigate whether neighborhood disadvantage was associated with neurocognitive functioning in five domains: processing speed, sustained attention, controlled attention, cognitive flexibility, and response inhibition.

METHODS

One-hundred and ninety-five socioeconomically diverse traumatically-injured subjects (mean age = 32.8, 52.8% female) were recruited from an Emergency Department. Two-weeks, three-months, and six-months post-trauma, participants completed self-report measures and a computerized test battery to evaluate neurocognition. An Area Deprivation Index (ADI) score, a measure of a neighborhood's socioeconomic disadvantage, was derived from each participants' home address.

RESULTS

Greater neighborhood disadvantage was significantly related to lower scores in all domains. Results of hierarchical linear models revealed neighborhood disadvantage was significantly associated with processing speed, controlled attention, cognitive flexibility, and response inhibition across time, even after adjusting for individual annual household income, baseline PTSD symptoms, and previous adverse life experiences. This relationship was stable for all domains except sustained attention, which varied across time.

CONCLUSION

These findings indicate neighborhood disadvantage contributes uniquely to neurocognitive functioning and, for the majority of domains, these contributions are stable across time. The relationship between area-level variables and cognitive function may underlie individual vulnerability to developing psychiatric disorders. Future work should continue to examine the interaction between socioenvironmental stressors and PTSD symptoms longitudinally.

Predicting Post-Concussion Symptom Recovery in Adolescents Using a Novel Artificial Intelligence

This pilot study explores the possibility of predicting post-concussion symptom recovery at one week post-injury using only objective diffusion tensor imaging (DTI) data inputs to a novel artificial intelligence (AI) system composed of Genetic Fuzzy Trees (GFT). Forty-three adolescents age 11 to 16 years with either mild traumatic brain injury or traumatic orthopedic injury were enrolled on presentation to the emergency department. Participants received a DTI scan three days post-injury, and their symptoms were assessed by the Post-Concussion Symptom Scale (PCSS) at 6 h and one week post-injury. The GFT system was trained using one-week total PCSS scores, 48 volumetric magnetic resonance imaging inputs, and 192 DTI inputs per participant over 225 training runs. Each training run contained a randomly selected 80% of the total sample followed by a 20% validation run. Over a different randomly selected sample distribution, GFT was also compared with six common classification methods. The cascading GFT structure controlled an effectively infinite solution space that classified participants as recovered or not recovered significantly better than chance. It demonstrated 100% and 62% classification accuracy in training and validation, respectively, better than any of the six comparison methods. Recovery sensitivity and specificity were 59% and 65% in the GFT validation set, respectively. These results provide initial evidence for the effectiveness of a GFT system to make clinical predictions of trauma symptom recovery using objective brain measures. Although clinical and research applications will necessitate additional optimization of the system, these results highlight the future promise of AI in acute care.

Proposal of a Functional Impairment Symptom Scale for Concussion

Clinicians currently administer patient-reported symptom scales to quantify and track concussion symptoms. These scales are based on subjective ratings without reference to the degree of functional impairment caused by the symptoms. Our objective was to develop a concussion symptom scale based on functional impairment and compare it to a widely used concussion symptom checklist. We conducted a retrospective chart review evaluating 133 patients age 9-22 with an acute concussion who completed 2 symptom checklists at their initial visit-the Sport Concussion Assessment Tool (SCAT-3) symptom evaluation (22 symptoms, 0-6 scale) and the proposed Functional Impairment Scale (22 symptoms, 0-3 scale related to degree of functional impairment). Mean total symptom score was 27.2±22.9 for Sport Concussion Assessment Tool-3 and 14.7±11.9 for the Functional Impairment Scale. Pearson correlation between the scales was 0.98 (P < .001). Mean time from concussion to first visit was 6.9±6.2 days, and median clearance time after injury was 19 (95% CI 16-21) days. After adjusting for patient and injury characteristics, an increased score on each scale was associated with longer time to clearance (5-point increase in Sport Concussion Assessment Tool-3 hazard ratio 0.885, 95% CI 0.835-0.938, P < .001; 2.5-point increase in Functional Impairment Scale hazard ratio 0.851, 95% CI 0.802-0.902, P < .001). We propose a concussion symptom scale based on functional impairment that correlates strongly with the Sport Concussion Assessment Tool-3 scale, demonstrates a similar association with time to clearance, and may provide a more intuitive approach to monitoring how symptoms are affecting patients recovering from concussion. Future research should aim to validate this scale through a prospective longitudinal study.

Neuropsychological Assessment of Sport-Related Concussion

Neuropsychological assessment is a key component in a comprehensive, multidisciplinary approach to assessment of sport-related concussion (SRC). Currently computerized tests are the most commonly used modality of neurocognitive testing and involve both baseline and postinjury assessments. A comprehensive neuropsychological assessment should not only include neurocognitive testing but also incorporate symptom inventories, vestibular-ocular screening, and a psychological evaluation. Neuropsychological assessments are most effective when completed by a Clinical Neuropsychologist, given their specialized training in test interpretation and conceptualization of the psychological, cognitive, behavioral, physiologic, as well as neurologic principals when treating and managing SRC.

Concussion Symptom Cutoffs for Identification and Prognosis of Sports-Related Concussion: Role of Time Since Injury

BACKGROUND

Symptom reporting with scales such as the Post-Concussion Symptom Scale (PCSS) is one of the most sensitive markers of concussed status and/or recovery time, It is known that time from injury until initial clinic visit affects symptom presentation and recovery outcomes, but no study to date has evaluated changes in clinical cutoff scores for the PCSS based on earlier versus later clinical presentation postconcussion.

PURPOSE

To evaluate if time since injury after sports-related concussion (SRC) affects clinical cutoff scores for total PCSS and PCSS factors in differentiating athletes with SRC from healthy controls and predicting prolonged recovery (>30 days) after SRC.

STUDY DESIGN

Cohort study; Level of evidence, 3.

METHODS

A chart review was conducted of clinical data from patients with SRC (age, 13-25 years; n = 588; female, n = 299) who presented to concussion specialty clinics. Participants were categorized on the basis of time from injury: early (≤7 days; n = 348) and late (8-21 days; n = 240). Outcomes were total symptom severity (ie, total PCSS score) and total score for each of 4 symptom factors (cognitive/migraine/fatigue [CMF], affective, sleep, and somatic). Area under the curve (AUC) analyses were conducted using the Youden index to optimize sensitivity and specificity cutoffs.

RESULTS

In the early group, the CMF factor (cutoff, ≥7; AUC = 0.944), affective factor (cutoff, ≥1; AUC = 0.614), and total PCSS (cutoff, ≥7; AUC = 0.889) differentiated athletes with SRC from controls. In the late group, the CMF factor cutoff was reduced (cutoff, ≥4; AUC = 0.945), while the total PCSS score (cutoff, ≥7; AUC = 0.892), affective factor (cutoff, ≥1; AUC = 0.603), and sleep factor (cutoff, ≥1; AUC = 0.609) remained the same. In the early cohort, the CMF factor was the strongest predictor of protracted recovery (cutoff, ≥23; AUC = 0.717), followed by the total PCSS (cutoff, ≥39; AUC = 0.695) and affective factor (cutoff, ≥2; AUC = 0.614). The affective factor (cutoff, ≥1; AUC = 0.642) and total PCSS (cutoff, ≥35; AUC = 0.592) were significant predictors in the late cohort, but the cutoff threshold was reduced.

CONCLUSION

The findings indicate that PCSS symptom clinical cutoffs for identifying injury and recovery prognosis change on the basis of time since injury. Specifically, the combination of CMF, affective, and sleep factors is the best differentiator of athletes with SRC from controls regardless of time since injury. Furthermore, the CMF factor is the most robust predictor of prolonged recovery if the patient is within 1 week of SRC, whereas the affective factor is the most robust predictor of prolonged recovery if the patient is within 2 to 3 weeks of SRC.

Assessing the predictive value of primary evaluation with the Immediate Post-Concussion Assessment and Cognitive Test following head injury

OBJECTIVE

Concussions are a major public health concern, especially for high school and college student athletes. However, there are few prognostic metrics that can accurately quantify concussion severity in order to anticipate recovery time and symptom regression. The Immediate Post-Concussion Assessment and Cognitive Test (ImPACT) is a widely used neurocognitive assessment that can diagnose and track recovery from concussions. This study assesses whether initial ImPACT scores, collected within 48 hours of the injury, can predict persistence of concussion at follow-up.

METHODS

Results from 6912 ImPACT tests were compiled in 2161 unique student athletes, ages 12-22 years. The authors defined a novel metric, the Severity Index (SI), which is a summation of the number of standard deviations from baseline at the 80% CI for each of the 5 composite scores reported by ImPACT. Patients were binned into groups based on SI (0-3.99, 4-7.99, 8-11.99, 12+) and the relationships between SI groups, composite scores, symptom profiles, and recovery time were characterized using 1-way and 2-way ANOVAs and Kaplan-Meier plots. A logistic regression assessed the value of SI for predicting concussion at follow-up.

RESULTS

Patients with a higher SI at diagnosis were more likely to still be concussed at their first follow-up (F3,2300 = 93.06; p < 0.0001). Groups with a higher SI also displayed consistently slower recovery over a 42-day period and were more likely to report symptoms in all 4 symptom clusters (Migraine, Cognition, Sleep, and Neuropsychiatric). When controlling for sex, age, number of previous concussions, days between assessments, and location, SI significantly increased the odds of being concussed at follow-up (OR 1.122, 95% CI 1.088-1.142; p < 0.001). This model showed good discrimination with an area under the curve of 0.74.

CONCLUSIONS

SI is a useful prognostic tool for assessing head injury severity. Concussions with higher initial SI tend to last longer and have broader symptomatic profiles. These findings can help patients and providers estimate recovery based on similar ImPACT score profiles.

Effects of Exercise on Sport Concussion Assessment Tool-Third Edition Performance in Women

OBJECTIVE

The purpose of this study was to examine the influence of a brief exercise protocol on Sport Concussion Assessment Tool-Third Edition (SCAT3) performance in amateur women athletes.

DESIGN

Cross-over repeated-measures design.

SETTING

Off-season, uninjured community amateur athletes.

PARTICIPANTS

We examined 87 amateur women athlete volunteers (age = 29.9, SD = 6.9 years).

INDEPENDENT VARIABLES

Participants were assessed using the SCAT3 under 2 conditions: at rest and after a 5-minute physical exertion protocol, completed in a counterbalanced order.

MAIN OUTCOME MEASURES

Participants' performance on the various components of the SCAT3 under the 2 conditions: at rest and after a 5-minute physical exertion protocol.

RESULTS

No significant differences were detected between at-rest and postexercise conditions for the balance, orientation, or cognitive components of the SCAT3. There were no significant differences in the proportion of participants who endorsed specific symptoms at rest compared with the postexercise condition (P > 0.05). However, women athletes who rated their exertion after exercise as "hard" or greater (Borg scale rating 13-20) reported significantly greater blurred vision (M = 0.25, SD = 0.62 vs M = 0.00, SD = 0.00; P = 0.006) and fatigue/low energy (M = 1.38, SD = 1.17 vs M = 0.66, SD = 0.91; P = 0.002) symptoms after exercise than those who rated their exertion as "light" or lower (Borg scale rating 6-12).

CONCLUSIONS

In this study of women athletes, a brief bout of exercise did not seem to adversely affect SCAT3 performance and had only small effects on self-reported symptoms. There were differences in symptom reporting, however, in the subgroup of women who rated their exertion levels as "hard" or greater; they reported more blurred vision and fatigue/low energy.

Clinical examination factors that predict delayed recovery in individuals with concussion

Background

Risk factors for prolonged recovery after concussion have been well researched, but specific objective clinical examination findings have not. This study examined whether clinical examination results could predict delayed recovery (DR) in individuals with concussion diagnosis. A secondary aim explored the influence of early examination on individual prognosis.

Methods

The study was a retrospective, observational cohort design that included 163 individuals seen at a concussion clinic who were followed longitudinally until cleared for sports activity. Cognitive, visual, balance, vestibular, and cervical clinical testing and symptom assessment were performed at initial evaluation. DR was calculated by taking the median value associated with time to clearance for activity. Bivariate logistic regression analysis was calculated to determine odds ratios (and 95% confidence intervals) for the odds of DR with presence or absence of each clinical finding. Multivariate analyses were used to define the best predictors of DR.

Results

80 of 163 individuals were considered delayed in their clearance to activity. Cognitive impairments (OR = 2.72; 95%CI = 1.40, 5.28), visual exam findings (OR = 2.98; 95%CI = 1.31, 6.80), and vestibular exam findings (OR = 4.28; 95%CI = 2.18, 8.43) all increased the odds of a DR. Multivariate modeling retained cognitive symptoms and clinical examination-vestibular testing as predictors of delayed recovery. Time to examination after injury was a mediator for DR.

Conclusions

The clinical examination provides value in identifying individuals who are likely to exhibit a delayed clearance. In particular, vestibular impairments identified clinically at initial evaluation and cognitive symptoms were associated with increased odds of a DR to return to activity. Our data support that early implementation of a standardized clinical examination can help to identify individuals who may be more at risk of prolonged recovery from concussion.

Average symptom severity and related predictors of prolonged recovery in pediatric patients with concussion

The purpose of this study is to compare the predictive utility of total number of individual symptoms endorsed, total symptom severity, and average symptom severity on prolonged recovery among children/adolescents with a concussion. Patients (n = 115) completed the Post-Concussion Symptom Scale (PCSS) at their initial clinical visit (7.9 ± 6.6 days) days post-injury. PCSS outcomes were total symptom severity (i.e., total PCSS score), number of symptoms endorsed (i.e., number out of 22-items on the PCSS with a symptom score >0) and average symptom severity (i.e., mean of scores for each of the 22-items on the PCSS, not just endorsed symptoms). Logistic regression was performed with all symptom measures and recovery time >30 days as the binary outcome. Logistic regression indicated that average symptom severity (OR = 1.9; p = 0.01) and later time to first clinical visit (OR = 5.0; p < 0.001) were the only significant predictors of recovery time. Average symptom severity at initial clinic visit and earlier clinical visit may be a better predictor of recovery time than total number of symptoms endorsed or total symptom severity among children and adolescents.

Sleep Disturbances in the Acute Stage of Concussion are Associated With Poorer Long-Term Recovery: A Systematic Review

OBJECTIVE

To examine the association between sleep during the acute stage of concussion and long-term outcomes.

LITERATURE SURVEY

Literature searches were performed 1 July 2018 to 1 August 2018 in Ovid MEDLINE, CINAHL, and Web of Science, along with hand searching for gray literature and cited references. Of the 610 search results, 359 unique references were reviewed after duplicates were removed.

METHODOLOGY

Two reviewers independently reviewed and came to consensus on which titles/abstracts met inclusion/exclusion criteria (n = 23). The 23 full-text articles were assessed independently by the same two reviewers for eligibility. Consensus was achieved, leaving four articles for quality assessment and data extraction. One person extracted relevant data from each study using a standard data-extraction table. The data extraction table was reviewed by two reviewers and consensus was achieved for completeness and accuracy. Quality appraisal was conducted to assess the risk for potential bias and quality of included articles.

SYNTHESIS

Two of the articles included children younger than 16 years old and two included a wide age range. In general, poorer sleep was associated with poorer outcomes following concussion at reassessments across any age population. In addition, poorer sleep in the acute stage of concussion was associated with poorer long-term outcomes and recovery.

CONCLUSIONS

The variability in sleep assessments used, symptoms assessed, length of time to reassessments, and comparator group included made data synthesis challenging. The use of standard valid and reliable sleep assessments is recommended. Future studies may consider if addressing sleep disturbances early following concussion will improve longer-term outcomes.

Sleep, energy disturbances and pre-competitive stress in female traveller athletes

Background:

Gymnasts of high performance level are submitted to a demanding competitive schedule, which can negatively affect their circadian rhythm, sleep, appetite and pre-competitive stress. Therefore, the purpose of this study was to investigate sleep, body composition, pre-competitive stress and energy in elite female athletes just before a World Cup and potential sleep risks according to the travelled distance by athletes in order to compete.

Methods:

Sixty-seven rhythmic gymnasts of high performance level were evaluated in order to collect training and competition data, daytime sleepiness (DS) by the Epworth Sleepiness Scale, sleep quality (SQ) by the Pittsburgh Sleep Quality Index, precompetitive anxiety by the Sport Competition Anxiety Test-A and dietary intake prior to a World Cup.

Results:

Gymnasts suffering from severe DS had worse scores in the competition than those who reported normal DS (p=0.004). In addition, gymnasts with severe DS reported reduced SQ (p=0.014) and showed high levels of precompetitive stress (p<0.01). Gymnasts with reduced SQ demonstrated great DS (p=0.014) and high levels of precompetitive stress (p=0.010).

Conclusions:

Gymnasts demonstrated disordered sleep and precompetitive stress. Athletes who travelled long distances to compete presented high risk for short sleep duration, abnormal DS and reduced SQ.

Serum SNTF, a Surrogate Marker of Axonal Injury, Is Prognostic for Lasting Brain Dysfunction in Mild TBI Treated in the Emergency Department

Mild traumatic brain injury (mTBI) causes persisting post-concussion syndrome for many patients without abnormalities on conventional neuroimaging. Currently, there is no method for identifying at-risk cases at an early stage for directing concussion management and treatment. SNTF is a calpain-derived N-terminal proteolytic fragment of spectrin (α_II-spectrin1-1176) generated in damaged axons following mTBI. Preliminary human studies suggest that elevated blood SNTF on the day of mTBI correlates with white matter disruption and lasting brain dysfunction. Here, we further evaluated serum SNTF as a prognostic marker for persistent brain dysfunction in uncomplicated mTBI patients treated in a Level I trauma center emergency department. Compared with healthy controls (n = 40), serum SNTF increased by 92% within 24 h of mTBI (n = 95; p < 0.0001), and as a diagnostic marker exhibited 100% specificity and 37% sensitivity (AUC = 0.87). To determine whether the subset of mTBI cases positive for SNTF preferentially developed lasting brain dysfunction, serum levels on the day of mTBI were compared with multiple measures of brain performance at 90 days post-injury. Elevated serum SNTF correlated significantly with persistent impairments in cognition and sensory-motor integration, and predicted worse performance in each test on a case by case basis (AUC = 0.68 and 0.76, respectively). SNTF also predicted poorer recovery of cognitive stress function from 30 to 90 days (AUC = 0.79–0.90). These results suggest that serum SNTF, a surrogate marker for axonal injury after mTBI, may have potential for the rapid prognosis of lasting post-concussion syndrome and impaired functional recovery following CT-negative mTBI. They provide further evidence linking axonal injury to persisting brain dysfunction after uncomplicated mTBI. A SNTF blood test, either alone or combined with other markers of axonal injury, may have important utilities for research, prognosis, management and treatment of concussion.

Estimated Age of First Exposure to American Football and Neurocognitive Performance Amongst NCAA Male Student-Athletes: A Cohort Study

BACKGROUND

Repetitive head impacts in young athletes are potentially detrimental to later life (e.g., age 50 + years) neurological function; however, it is unknown what the short-term effects (e.g., age 20 years) are in collegiate student-athletes.

OBJECTIVE

The purpose of this study was to determine the effect of the estimated age of first exposure to American tackle football participation on neurocognitive performance and symptom severity scores in collegiate student-athletes.

METHODS

We used a cohort study in which neurocognitive performance was assessed using the Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) test in 4376 male athletes (age 19.3 ± 1.5 years, mass 96.3 ± 20.3 kg, height 185.0 ± 7.4 cm). Athletes were grouped by sport participation [American football (n = 3462) or non-contact (n = 914)] and estimated age of first exposure [< 12 years (n = 3022) or ≥ 12 years (n = 1354)]. The outcome measures were the four primary cognitive scores and the symptom severity score from ImPACT. We assessed primary outcomes across groups, controlling for age, learning accommodations, and concussion history.

RESULTS

Neurocognitive performance was not associated with the estimated age of first exposure-by-group interaction.

CONCLUSION

Our findings indicate that participation in American tackle football before age 12 years does not result in neurocognitive deficits in college. Therefore, we suggest the following: the consequences of early exposure to repetitive head impacts do not manifest by college, the ImPACT test was not sensitive enough to identify the effects of an earlier estimated age of first exposure, or there is no association between an earlier estimated age of first exposure and neurocognitive functioning. Future longitudinal studies are warranted.

Sleep and Athletic Performance: Impacts on Physical Performance, Mental Performance, Injury Risk and Recovery, and Mental Health

Research has characterized the sleep of elite athletes and attempted to identify factors associated with athletic performance, cognition, health, and mental well-being. Sleep is a fundamental component of performance optimization among elite athletes, yet only recently embraced by sport organizations as an important part of training and recovery. Sleep plays a crucial role in physical and cognitive performance and is an important factor in reducing risk of injury. This article aims to highlight the prevalence of poor sleep, describe its impacts, and address the issue of sport culture surrounding healthy sleep.

Incidence reporting via online high school concussion surveillance by certified athletic trainers and school nurses, 2015-2018

BACKGROUND

There is an increasing concern over adolescent concussions in sports due to risks of long-term negative effects. This study analyzed data over three school years on reported concussion incidence rates by season, high school grade levels and gender, and reported symptoms by school nurses versus athletic trainers, from New Jersey student-athlete concussion data available from an online school-based surveillance system.

METHODS

School nurses and athletic trainers reported 300 concussions within five days from when each occurred over three school years, 2015-2018, in team sports and physical education in New Jersey high schools. Analysis was further conducted on symptoms and number of symptoms reported by school nurses versus school athletic trainers for each documented student-athlete concussion. Estimated concussion incidence rates were calculated using state agency verified school enrollment data.

FINDINGS

Concussions most commonly occurred during fall, followed by spring, then winter. Concussion incidence rates ranged from 6.3/1000 (4.99, 7.55) - 9.1/1000 (7.27, 10.98) students over the three school years of the study. Athletic trainers completed 86% of the reports while nurses completed 11% (position or title of 3%, or n = 7, were not disclosed); the values were similar when considering only fall pre-season and regular season sports (88, 10, 2%, respectively). On average, across the three school years, athletic trainers reported about 3.5 symptoms per report while nurses reported 2.7 (values in fall seasons only were 3.7 and 3.1, respectively.) CONCLUSIONS: Certified athletic trainers, compared to school nurses, more often completed concussion report forms and reported more symptoms per injured student, perhaps due partly to closer contact and immediate care provided after injury. Additionally, this study had a higher concussion incidence rate during fall sports seasons compared to winter and spring. Future research can further improve our understanding of concussions among adolescent student-athletes to better inform concussion identification, management and recovery protocols.

Symptom Burden and Profiles in Concussed Children with and without Prolonged Recovery

Although symptom burden and symptom profile severity are independent predictors of post-concussion symptom duration, few studies have examined their effects on prolonged recovery simultaneously. This study examined differences in symptom burden and symptom profile scores between concussed children with prolonged recovery and those with typical recovery. We conducted a retrospective case-control study of concussed children aged 10–18 years. Prolonged recovery was defined as symptom duration beyond 28 days post-injury. Symptom burden was measured as total symptom score (TSS) at injury. Symptom profiles included: (1) vestibular, (2) ocular, (3) cognitive/fatigue, (4) migraine, and (5) anxiety. A total of 4380 unique concussions sustained by 3777 patients were included; 80.3% white, 60.0% male, and 44.0% aged 13–15 years. The prolonged recovery group had a significantly higher TSS and greater number of symptoms than the typical recovery group (p < 0.001 and p < 0.001, respectively). The prolonged recovery group had significantly higher scores on all five symptom profiles, including vestibular (p < 0.001), ocular (p < 0.001), cognitive/fatigue (p < 0.001), migraine (p < 0.001) and anxiety (p < 0.001), than the typical recovery group, even after adjusting for number of symptoms and other covariates. Further studies using prospective cohort designs are needed to better understand the influence of symptom burden and profiles on pediatric concussion recovery.

Concussion Symptom Profiles Among Child, Adolescent, and Young Adult Athletes

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 [β-coefficient = 1.57, 95% confidence interval (CI), 1.47-1.67] and cognitive (β-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 (β-coefficient = 1.25, 95% CI, 0.34-2.15) and vestibular-ocular (β-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.