Symptoms and cognition are both utilized as indicators of recovery following pediatric concussion, yet their interrelationship is not well understood. This study aimed to investigate: 1) the association of post-concussion symptom burden and cognitive outcomes (processing speed and executive functioning [EF]) at 4 and 12 weeks after pediatric concussion, and 2) the moderating effect of sex on this association.

This prospective, multicenter cohort study included participants aged 5.00–17.99 years with acute concussion presenting to four Emergency Departments of the Pediatric Emergency Research Canada network. Five processing speed and EF tasks and the Post-Concussion Symptom Inventory (PCSI; symptom burden, defined as the difference between post-injury and retrospective [pre-injury] scores) were administered at 4 and 12 weeks post-concussion. Generalized least squares models were conducted with task performances as dependent variables and PCSI and PCSI*sex interaction as the main predictors, with important pre-injury demographic and injury characteristics as covariates.

311 children (65.0% males; median age = 11.92 [IQR = 9.14–14.21 years]) were included in the analysis. After adjusting for covariates, higher symptom burden was associated with lower Backward Digit Span (χ2 = 9.85, p = .043) and Verbal Fluency scores (χ2 = 10.48, p = .033) across time points; these associations were not moderated by sex, ps ≥ .20. Symptom burden was not associated with performance on the Coding, Continuous Performance Test, and Color-Word Interference scores, ps ≥ .17.

Higher symptom burden is associated with lower working memory and cognitive flexibility following pediatric concussion, yet these associations were not moderated by sex. Findings may inform concussion management by emphasizing the importance of multifaceted assessments of EF.

Construction of predictive algorithms of concussion symptom recovery at 4 and 12 weeks post-injury using an evidence-based assessment (EBA) model to guide clinical decision-making, extending the 2016 5P decision rule.

Children and adolescents, ages 8-18 (n=1,551; mean age=12.78; 62% male), followed over 12 weeks in the prospective multicenter cohort study (Predicting Persistent Post-Concussive Problems in Pediatrics, 5P; Zemek et al., 2016). The age-specific PostConcussion Symptom Inventory (PCSI) (8-12, 17 items; 1318 years, 20 items) was completed at six timepoints from the ED and at 1, 2, 4, 8, and 12-weeks post-injury. Logistic regression analysis was applied to the set of key variables including the PCSI Total Retrospective-Adjusted PostInjury Difference (RAPID) scores, patient demographics and pre-injury history, and injury characteristics to predict participant recovery status (Recovered, Not Recovered) at the 4- and 12-week endpoints. The resulting recovery-predictive equations identified the significant sets of variables with symptom scores at four successive post-injury timepoints (ED, 1, 2, 4 weeks). Logistic Regression Threshold values were established at the 90th CI against which individual patient data was applied to determine recovery status. Participants with sub-threshold sums were deemed recovered at the target endpoint (4- or 12-weeks post-injury).

A total of 19 predictive equations were generated for the two age groups across the recovery timeline. Four sets of equations were developed to predict symptom recovery status at 4-weeks post-injury for the two age groups (8-12 AUC=0.679-0.884; 13-18 AUC=0.752-0.909). Prediction of symptom recovery status at 12-weeks post-injury yielded six equations for the 8-12 age group (AUC=0.723-0.825), and five equations for the 13-18 age group (AUC=0.724-0.887). Total PCSI RAPID score was identified as a significant variable in each of these 19 equations. Participant sex was identified as significant in 18 of the 19 constructed equations. Other variables that were identified as significant at varying timepoints included age, pre-injury history of learning disability and migraines, and an early post-injury sign in the ED (answering questions more slowly than usual). Examples of the equations include: Week 1 predicting symptom recovery status at 4-weeks: 8-12 yr group-(Sex*.802)+(week 1 Total RAPID Score*.142)+(Age2* .053)+(-3.851) with AUC=0.808; 13-18 yr group-(Sex*.980)+(Week 1 Total RAPID Score*.071)+(-3.261) with AUC=0.861.

Clinicians’ management of the concussion recovery of children and adolescents can benefit from EBA guidance. The 5P dataset (Zemek et al., 2016) provides an important window into “typical” and “atypical” recovery trajectories, establishing an initial predictive decision rule for a 4-week recovery endpoint, at the ED timepoint only, reporting AUC=0.69. The current study extends the prediction modeling using successive post-injury timepoints reflecting a typical management timeline. Symptom reports from both 1- and 2-weeks post injury with patient demographics/ history predicted symptom recovery status at 4- and 12-weeks post-injury, significantly improve predictive accuracy over the ED timepoint alone. These predictive equations, when applied to the individual patient, can serve to assist the clinician’s understanding of the patients’ recovery trajectory, i.e., on track for a typical or atypical recovery, further informing the intervention strategy.

External validation of symptom severity classification levels for the PostConcussion Symptom Inventory (PCSI).

Two distinct samples of parents and children, ages 8-18, participated from a: (1) prospective multicenter cohort study (Predicting Persistent Post-concussive Problems in Pediatrics, 5P) (Zemek et al., 2016), including parents (n=2,852), adolescents (n=1,087; mean age=15.13; 54% male), and children (n=1,271; mean age=10.70; 65% male) and (2) published clinic sample at Children’s National Hospital (CN) including parents (n=1,197; adolescents, n=835; children, n=326) (Gioia et al., 2019). Participants completed the age-specific Post-Concussion Symptom Inventory (PCSI): Mean time postinjury = 8 hours (5P), 6 days (PCSI2), generating a post-pre-injury difference (RAPID) score. The distribution of the RAPID scores for the Total Symptom and 4 subscales (physical, emotional, cognitive, sleep/fatigue) were examined to define 4 symptom severity classification levels (minimal - within the CI for recovered, low <20th %tile, moderate 21-79th %tile, high >80th %tile) for the respective samples. These severity distributions were compared between the two distinct datasets.

ANOVAs were performed to examine group differences in the mean scores for each of the 4 classification levels. No significant differences were found for all the RAPID score distributions with minimal effect sizes (<.1% variance) for the parents, adolescents and children. PCSI RAPID Total Score ranges for the severity classifications were as follows: Minimal-Parent and adolescent groups 5P<=5, Clinic <=5; Children: 5P<=3, Clinic<=3; Low- Parents 5P 6-15, Clinic 6-13; Adolescents 5P 6-19, Clinic 6-16; Children: 5P 4-7, Clinic: 4-7; Moderate-Parents 5P 16-49, Clinic 14-47; Adolescents 5P 20-56, Clinic 17-51; Children 5P 8-17, Clinic: 818; High- Parents: 5P>=50, Clinic >=48; Adolescents 5P >=57, Clinic >=52; Children 5P >=18, Clinic >=19).

Our findings reveal a parallel distribution of RAPID scores in the two distinct 5P and Clinic patient populations, yielding nearly identical severity classification level parameters across all five PCSI symptom domains (total score, physical, cognitive, emotional, and sleep/fatigue). The present investigation provides evidence of validity for the use of these severity classification levels across the ED and specialty clinic settings.

To validate the two-factor structure (i.e., cognitive and somatic) of the Health and Behaviour Inventory (HBI), a widely used post-concussive symptom (PCS) rating scale, through factor analyses using bifactor and correlated factor models and by examining measurement invariance (MI).

PCS ratings were obtained from children aged 8–16.99 years, who presented to the emergency department with concussion (n = 565) or orthopedic injury (OI) (n = 289), and their parents, at 10-days, 3-months, and 6-months post-injury. Item-level HBI ratings were analyzed separately for parents and children using exploratory and confirmatory factor analyses (CFAs). Bifactor and correlated models were compared using various fit indices and tested for MI across time post-injury, raters (parent vs. child), and groups (concussion vs. OI).

CFAs showed good fit for both a three-factor bifactor model, consisting of a general factor with two subfactors (i.e., cognitive and somatic), and a correlated two-factor model with cognitive and somatic factors, at all time points for both raters. Some results suggested the possibility of a third factor involving fatigue. All models demonstrated strict invariance across raters and time. Group comparisons showed at least strong or strict invariance.

The findings support the two symptom dimensions measured by the HBI. The three-factor bifactor model showed the best fit, suggesting that ratings on the HBI also can be captured by a general factor. Both correlated and bifactor models showed substantial MI. The results provide further validation of the HBI, supporting its use in childhood concussion research and clinical practice.

Ondansetron is increasingly administered to children suffering from concussion-associated nausea/vomiting. We examined the association between ondansetron administration and post-concussion symptoms in children at 1 week and 1 month following the concussion.

This was a secondary analysis of data collected prospectively in a cohort study conducted in nine pediatric emergency departments (EDs) (5P study). Participants were children ages between 5 and 17.99 years who sustained a concussion in the previous 48 hours. For the current study, only 5P participants who reported nausea and/or vomiting in the ED were eligible. The exposure of interest was ondansetron administration; the comparison group included all other participants. The primary outcome was an increase in at least three symptoms of the Post-Concussion Symptom Inventory score at 1 week and 1 month following trauma.

Among the 3,063 children included in the 5P study, 1805 (59%) reported nausea and provided data at 1 week and/or 1 month. Among them, 132 (7%) received ondansetron. Multivariable logistic regression adjusted for confounders did not show an association between ondansetron use and the risk of persistent post-concussion symptoms at 1 week (OR: 1.13 [95% CI: 0.86-1.49]), but it was associated with a higher risk at 1 month (OR: 1.33 [95% CI: 1.05-1.97]).

In children presenting to the ED with an acute concussion, ondansetron use was associated with a higher risk of persistent post-concussion symptoms at 1 month. Although this may be related to the limitations of the design, it highlights the importance of evaluating this association using a randomized clinical trial.

The diagnosis of concussion is a critical step in the appropriate management of patients following minor head trauma. The authors hypothesized that wide practice variation exists among pediatric emergency medicine physicians in the application of physical and cognitive rest recommendations following an acute concussion.

The authors developed a 35-item questionnaire incorporating case vignettes to examine pediatric emergency physician knowledge of concussion diagnosis, understanding of initial management using return-to-play/school/work guidelines, use of existing concussion protocols, and perceived barriers to protocol use. Using a modified Dillman technique, the authors distributed an online survey to members of Pediatric Emergency Research Canada, a national association of pediatric emergency physicians.

Of 176 potential participants, 115 (65%) responded to the questionnaire, 89% (95% confidence interval [CI]: 0.81, 0.93) of whom reported having diagnosed 20 or more concussions annually. Although 90% (95% CI: 0.83, 0.94) of respondents adequately diagnosed concussion, only 64% (95% CI: 0.54, 0.72) correctly applied graduated return-to-play guidelines. Cognitive rest recommendations were also frequently limited: 40% (95% CI: 0.31, 0.49) did not recommend school absence, 30% (95% CI: 0.22, 0.39) did not recommend schoolwork reduction, and 35% (95% CI: 0.27, 0.45) did not recommend limiting screen time. Eighty percent (95% CI: 0.72, 0.87) of respondents reported having used guidelines frequently or always to guide clinical decisions regarding concussion.

Despite a proficiency in the diagnosis of concussion, pediatric emergency physicians exhibit wide variation in recommending the graduated return to play and cognitive rest following concussion.