Disparities in Adherence to Concussion Clinical Care Recommendations in a Pediatric Population.

OBJECTIVE: To characterize the relationship of sociodemographic factors to adherence to provider recommendations for pediatric concussion. SETTING: Primary care (PC) practices within the Children's Hospital of Philadelphia network. PARTICIPANTS: Patients aged 5 to 18 years old who presented to any PC site for concussion from September 26, 2019, to December 31, 2019. DESIGN: Retrospective medical record review. MAIN MEASURES: The primary outcome was adherence to follow-up recommendations as defined by (1) continued follow-up until provider clearance to return to full activity; (2) no more than 2 no-show visits; and (3) for those referred to specialty care (SC), attending at least 1 visit. We compared adherence by race/ethnicity, insurance, age, sex, injury mechanism, and repeat head injury using bivariate and multivariate analyses. A secondary outcome of referral to SC was compared by sociodemographic factors. RESULTS: A total of 755 patients were included. Overall, 80.5% of the patients met adherence criteria. Following adjustment, non-Hispanic Black patients and publicly insured/self-pay patients were less likely to adhere to recommendations than non-Hispanic White patients (adjusted odds ratio [AOR] = 0.60; 95% CI, 0.37-1.00) and privately insured patients (AOR = 0.48; 95% CI, 0.30-0.75), respectively. When assessing differences in referral to SC, non-Hispanic Black patients and publicly insured/self-pay patients were more likely to receive a referral than their non-Hispanic White peers (OR = 1.56; 95% CI, 1.00-2.45) and privately insured patients (OR = 1.56; 95% CI, 1.05-2.32), respectively. CONCLUSION: This study highlights disparities in adherence to concussion care recommendations, with non-Hispanic Black and publicly insured/self-pay patients less likely to adhere to follow-up recommendations than non-Hispanic White and privately insured patients, respectively. These disparities may impact recovery trajectories. Future studies should aim to identify specific individual- and system-level barriers preventing adherence to care in order to ultimately inform targeted interventions to achieve equity in care delivery and outcomes.

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

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

Comparison of Anxiety and Depression Symptoms in Concussed and Nonconcussed Adolescents.

BACKGROUND: Few studies have examined psychiatric symptoms during the acute phase following a concussion in adolescents. Thus, this study compares anxiety and depression in acutely concussed and nonconcussed adolescents. HYPOTHESIS: Acutely concussed adolescents will report greater anxiety and depressive symptoms compared with nonconcussed adolescents. STUDY DESIGN: Prospective cohort study. LEVEL OF EVIDENCE: Level 3. METHODS: Data were collected from 282 adolescents (111 concussed within 28 days of injury, 171 nonconcussed), 13 to 18 years of age, who completed Patient-Reported Outcome Measurement Information System (PROMIS) Anxiety and Depressive Symptoms measures. We calculated average T-scores for anxiety and depression across both groups and compared the proportion of those who scored above normal limits. Finally, we calculated risk ratios for anxiety and depression scores above normal limits. RESULTS: Average T-scores for anxiety did not differ in concussed versus nonconcussed adolescents (mean: 45.9 [SD 10.84] vs 45.2 [8.1], respectively, P = 0.54), whereas average T-scores for depression were significantly higher in concussed versus nonconcussed adolescents (46.0 [10.88] vs 42.8 [8.48], respectively, P < 0.01). The proportion of concussed adolescents above normal limits for depression was greater than nonconcussed adolescents (32.4% vs 20.5%, respectively, P = 0.02). Post hoc sensitivity analyses excluding those with a history of anxiety or depression demonstrated a 1.45 (95% CI, 0.97, 2.01) and 1.56 (95% CI, 0.95, 2.56) increased risk of an above-normal anxiety and depression score for concussed compared with nonconcussed adolescents, respectively, although both were nonsignificant. CONCLUSION: Although we found few significant differences between the 2 groups, the results highlight that many concussed adolescents met the threshold for above-average symptoms on the depression and anxiety PROMIS measures. CLINICAL RELEVANCE: In adolescents, there is increased risk for psychiatric sequalae in the acute period after a concussion. As such, we suggest that clinicians consider incorporating depression screening when caring for adolescents after a concussion.

Trajectories of Visual and Vestibular Markers of Youth Concussion.

Visual and vestibular deficits, as measured by a visio-vestibular examination (VVE), are markers of concussion in youth. Little is known about VVE evolution post-injury, nor influence of age or sex on trajectory. The objective was to describe the time trend of abnormal VVE elements after concussion. Two cohorts, 11-18 years, were enrolled: healthy adolescents (n = 171) from a high school with VVE assessment before or immediately after their sport seasons and concussed participants (n = 255) from a specialty care concussion program, with initial assessment ≤28 days from injury and VVE repeated throughout recovery during clinical visits. The primary outcome, compared between groups, is the time course of recovery of the VVE examination, defined as the probability of an abnormal VVE (≥2/9 abnormal elements) and modeled as a cubic polynomial of days after injury. We explored whether probability trajectories differed by: age (<14 years vs. 14+ years), sex, concussion history (0 versus 1+), and days from injury to last assessment (≤28 days vs. 29+ days). Overall, abnormal VVE probability peaked at 0.57 at day 8 post-injury, compared with an underlying prevalence of 0.083 for uninjured adolescents. Abnormal VVE probability peaked higher for those 14+ years, female, with a concussion history and whose recovery course was longer than 28 days post-injury, compared with their appropriate strata subgroups. Females and those <14 years demonstrated slower resolution of VVE abnormalities. VVE deficits are common in adolescents after concussion, and the trajectory of resolution varies by age, sex, and concussion history. These data provide insight to clinicians managing concussions on the timing of deficit resolution after injury.

Visio-Vestibular Deficits in Healthy Child and Adolescent Athletes.

OBJECTIVE: To determine the relationship between patient characteristics and performance on the visio-vestibular examination (VVE) in a cohort of healthy youth athletes and explore the potential association between the VVE and other standardized concussion batteries. DESIGN: Cross-sectional. SETTING: Suburban middle and high school. PATIENTS: One hundred ninety subjects age 11 to 18 enrolled before their respective scholastic sport season between August 2017 and March 2020. ASSESSMENT OF INDEPENDENT VARIABLES: Patient age, sex, concussion history, comorbidities, hours of weekly exercise, Sport Concussion Assessment Tool, 5th edition (SCAT-5), King-Devick (K-D), Postconcussion Symptom Inventory (PCSI). MAIN OUTCOME MEASURES: Visio-vestibular examination abnormalities (smooth pursuit, horizontal and vertical saccades, horizontal and vertical gaze stability, convergence, right and left monocular accommodation, complex tandem gait). RESULTS: Overall, 29.5% of subjects had at least one of 9 VVE elements abnormal, 7.9% at least 2, and 3.2% at least 3. None of 72 comparisons of the VVE elements, when stratified by age, sex, concussion history, history of headaches, attention deficit hyperactivity disorder, learning issues, psychiatric problems, motion sickness, or weekly hours of exercise, reached significance using the Benjamini-Hochberg procedure at a false discovery rate of 5%. There were no significant associations between VVE elements and the SCAT-5, K-D, or PCSI. CONCLUSIONS: The VVE is robust across multiple patient characteristics. Although healthy subjects may have one abnormal element, multiple abnormal elements are a less common feature, making multiple abnormal elements more indicative of concussion, highlighting the use of this assessment in the setting of injury. The VVE tests unique domains when compared with the PCSI, SCAT-5, and K-D.

Clinical and Device-based Metrics of Gait and Balance in Diagnosing Youth Concussion.

PURPOSE: Evaluate the discriminatory ability of two clinical measures and one device-based measure of gait and balance for concussed youth. METHODS: We enrolled 81 cases and 90 controls age 14-18 yr old from August 2017 to June 2018. Controls were recruited from a suburban high school, and cases were recruited from the concussion program of an academic pediatric tertiary care center. Tests included two clinical measures: 1) complex tandem gait, scored as sway/errors walking forward and backward eyes open and closed; 2) Modified Balance Error Scoring System (mBESS), scored as total number of errors on three standing tasks; and one device-based measure; 3) Modified Clinical Test of Sensory Interaction and Balance (mCTSIB) using the Biodex Biosway Balance System, scored as a sway index. Sensitivity, specificity, ideal cutpoint, and area under the receiver operating characteristic curve (AUC) were calculated for all test components. RESULTS: Ideal cutpoint for total number of sway/errors for tandem gait = 5, sensitivity 41%, specificity 90%. Ideal cutpoint for total mBESS errors = 4, sensitivity 55%, specificity 75%. Ideal cutpoint for mCTSIB = 1.37, sensitivity 37%, specificity 88%. Among each test, some individual components outperformed overall composites, in particular tandem gait (specificity forward eyes open = 99%, sensitivity backward eyes closed = 81%). Among the 40 cases and 65 controls with all three assessments, AUC (95% CI) for tandem gait = 0.63 (0.52,0.75), mBESS = 0.70 (0.60,0.81), and mCTSIB = 0.54 (0.42,0.66). CONCLUSIONS: A device-based measure of balance did not produce better discriminatory ability than two clinical assessments. Complex tandem gait has the additional benefit of being an easy-to-perform and graded test with highly sensitive and specific individual components.