Post-Concussion Symptom Scale Score Research Articles

Factors that Influence Recovery From Concussion in Young Children and Preadolescents

Objective: To examine differences in the presentation and management of concussion in younger children (aged 4–8 years) versus preadolescents (9–12 years) and identify factors that influence recovery time. Design: Retrospective analysis of prospectively collected data. Setting: Pediatric sports medicine and orthopedics clinic. Patients: Three hundred seventy-five patients aged 4 to 12 years diagnosed with concussion between 2020 and 2022. Independent Variables: Age, gender, race/ethnicity, mechanism of injury (sport vs nonsport related), neurodevelopmental or psychiatric diagnosis, concussion history, Post-Concussion Symptom Scale (PCSS) score, and Vestibular Ocular Motor Screening (VOMS) overall change scores. Main Outcome Measures: Days since injury (DSI) to initial visit, total number of visits, recovery time (days). Results: Groups significantly differed in DSI (P = 0.01) and overall VOMS change score (P = 0.03). No differences were observed between groups on total number of visits or recovery time. Patients with fewer DSI [odds ratio (OR) = 1.15], less change in overall VOMS score (OR = 1.02), lower PCSS scores (OR = 1.02), and who were injured in sport were less likely to experience a protracted recovery. Conclusions: Younger children with concussion may be appropriately treated with a similar approach to preadolescent patients despite greater DSI and differences in VOMS change scores, without sacrificing overall recovery time. Consistent with research in older cohorts, protracted recovery was seen in nonsport patients, and patients seen sooner at a specialty concussion clinic were less likely to experience a protracted recovery, endorsed lower PCSS scores, and had lower overall VOMS change scores. Further research is needed to solidify a child-specific paradigm to concussion management.

B - 48 Gender-Based Network Comparisons of the Post-Concussion Symptom Scale at Acute Post-Concussion

Abstract Objective Prior literature suggests there may be gender-based differences in Post-Concussion Symptom Scale (PCSS) scores, with girls reporting more symptoms than boys at pre- and post-concussion. PCSS network analysis comparisons on gender have been conducted at pre-concussion but not post-concussion, which can determine whether gender-based differences in symptom relationships exist post-concussion. We conducted network comparisons between boys and girls from a sample of high school athletes at acute post-concussion to analyze differences in symptom relationships. Method Separate network analyses were conducted on acute post-concussion PCSS scores (within 72 hours post-suspected concussion) for boys (n = 2032) and girls (n = 1246), with nodes representing PCSS items and edges representing partial correlations between them. Expected influence was calculated to determine node importance in each network. Network Comparison Tests were used to compare network structure, global connectivity, and expected influence. Results Both networks’ expected influences and edge weights were stable and interpretable. There were no significant differences in network structure, connectivity, and expected influence between the groups. Networks consisted of positive and negative edges; strongest edges connected symptoms within similar domains (e.g., light and noise sensitivity). Conclusions Current results suggest that prior reports of gender-based differences in PCSS scores following concussion do not appear to be accounted for by differences in how PCSS items interact and influence each other. Differences may reflect actual differences in type and severity of post-concussion symptoms experienced by boys and girls or reflect differences in symptom reporting based on cultural influences. Future research could examine cultural or societal factors that influence gender-based differences in symptom reporting.

Comparative analysis of sport-related concussion: how do 8- to 12-year-old athletes differ from 13- to 17-year-old athletes?

Despite the growing literature on sport-related concussion (SRC) in high school and collegiate athletes, the understanding of how outcomes can vary in child athletes younger than 12 years of age remains limited. Therefore, the authors sought to compare injury characteristics and recovery in 8- to 12-year-old athletes with those of 13- to 17-year-old athletes following SRC. A single-institution retrospective cohort study was undertaken including 8- to 12-year-old and 13- to 17-year-old athletes seen at a regional SRC between November 2017 and January 2022. Demographic information, injury characteristics, Post-Concussion Symptom Scale (PCSS) scores, and recovery (i.e., return to learn [RTL], symptom resolution, and return to play [RTP]) were compared between 8- to 12-year-old and 13- to 17-year-old athletes using the Mann-Whitney U-test and chi-square test. A total of 147 athletes (8- to 12-year-old athletes: n = 49; 13- to 17-year-old athletes: n = 98) were included. The mean ages for the younger and older groups were 10.9 ± 0.9 and 15.7 ± 1.3 years, respectively. Athletes aged 8-12 years and 13-17 years had similar median times to initial healthcare presentation (1 vs 2 days, p = 0.37). Athletes aged 8-12 years were more likely to present to the emergency department (ED) (44.9% vs 25.5%, p = 0.02) and receive head imaging (36.7% vs 19.4%, p = 0.02). Initial PCSS scores were similar between the groups (21.5 vs 22.0, p = 0.99). Athletes aged 8-12 years took longer to RTL (median 6.0 [IQR 4.0-13.0] days vs median 4.0 [IQR 2.0-8.0] days, p = 0.04). However, time to symptom resolution (median 16.0 [IQR 7.0-42.0] days vs median 13.5 [IQR 6.3-22.5] days, p = 0.34) and RTP (median 22.5 [IQR 10.0-54.8] days vs median 15.0 [IQR 10.0-24.0] days, p = 0.17) were not significantly different. Comparing 8- to 12-year-old with 13- to 17-year-old concussed athletes, the authors found that the initial PCSS score did not differ, although the younger group was more likely to present to the ED and receive head imaging. The 8- to 12-year-old athletes took more time to RTL, although no differences were found in time to symptom resolution or RTP.

Acute psychological symptom profiles in high school athletes following sport-related concussion.

Psychological symptoms following a sport-related concussion may affect recovery in adolescent athletes. Therefore, the aims of this study were to 1) describe the proportion of athletes with acute psychological symptoms, 2) identify potential predictors of higher initial psychological symptoms, and 3) determine whether psychological symptoms affect recovery in a cohort of concussed high school athletes. A retrospective cohort study of high school athletes (14-18 years of age) who sustained a sport-related concussion from November 2017 to April 2022 and presented to a multidisciplinary concussion center was performed. The main independent variable was psychological symptom cluster score, calculated by summing the four affective symptoms on the initial Post-Concussion Symptom Scale (PCSS) (i.e., irritability, sadness, nervousness, feeling more emotional). The psychological symptom ratio was defined as the ratio of the psychological symptom cluster score divided by the total initial PCSS score. The outcomes included time to return to learn (RTL), symptom resolution, and time to return to play (RTP). Univariable and multivariable regressions were performed to adjust for demographic factors and health history. A total of 431 athletes (58.0% female, mean age 16.2 ± 1.3 years) were included. Nearly half of the sample (45%) reported at least one psychological symptom, with a mean psychological symptom cluster score of 4.2 ± 5.2 and psychological symptom cluster ratio of 0.10 ± 0.11. Irritability was the most commonly endorsed psychological symptom (38.1%), followed by feeling more emotional (30.2%), nervousness (25.3%), and sadness (22.0%). Multivariable regression showed that female sex (B = 2.15, 95% CI 0.91-3.39; p < 0.001), loss of consciousness (B = 1.91, 95% CI 0.11-3.72; p = 0.037), retrograde/anterograde amnesia (B = 1.66, 95% CI 0.20-3.11; p = 0.026), and psychological history (B = 2.96, 95% CI 1.25-4.70; p < 0.001) predicted an increased psychological symptom cluster score. Female sex (B = 0.03, 95% CI 0.00-0.06; p = 0.031) and psychological history (B = 0.06, 95% CI 0.02-0.10; p = 0.002) predicted an increased psychological symptom ratio. Multivariable linear regression showed that both higher psychological symptom cluster score and ratio were associated with longer times to RTL, symptom resolution, and RTP. In a cohort of high school athletes, 45% reported at least one psychological symptom, with irritability being most common. Female sex, loss of consciousness, amnesia, and a psychological history were significantly associated with an increased psychological symptom cluster score. Higher psychological symptom cluster score and psychological symptom ratio independently predicted longer recovery. These results reinforce the notion that psychological symptoms after concussion are common and may negatively impact recovery.

Examining Acute Symptoms After Sport-Related Concussion in Collegiate Athletes With Preinjury Migraines.

To examine whether a personal history of migraines is associated with worse acute symptom burden after sport-related concussion (SRC). Retrospective cohort study. National Collegiate Athletic Association Division III collegiate programs. Collegiate athletes from a prospective concussion surveillance system between 09, 2014, and 01, 2023. Preinjury migraines (yes/no) were self-reported by athletes. Post-Concussion Symptom Scale (PCSS) were collected within 3 days postinjury. Mann-Whitney U tests compared total PCSS scores and individual symptom scores between athletes with and without preinjury migraines. Chi-squared tests were used to compare proportions of athletes endorsing individual symptoms (ie, item score ≥1) between 2 groups. Multivariable regression analyzed potential predictors of PCSS scores. Of 1190 athletes with SRC, 93 (7.8%) reported a preinjury history of migraines. No significant difference in total PCSS scores was found between athletes with and without preinjury migraines (22.0 ± 16.4 vs 20.5 ± 15.8, U = 48 719.0, P = 0.471). Athletes with preinjury migraines reported greater severity of "sensitivity to light" (1.59 ± 1.59 vs 1.23 ± 1.41, P = 0.040) and "feeling more emotional" (0.91 ± 1.27 vs 0.70 ± 1.30; P = 0.008) and were more likely to endorse "feeling more emotional" (45.2% vs 29.5%, P = 0.002). No differences were found across all other symptoms, including headaches (migraine = 87.1% vs no migraine = 86.3%, P = 0.835). In a multivariable model, a history of migraine was not a significant predictor of acute PCSS scores, but those with a history of psychological disorders (β = 0.12, P <0 .001) and greater number of days to symptom evaluation (β = 0.08, P = 0.005) had higher PCSS scores. Collegiate athletes with a pre-existing history of migraines did not have higher acute symptom burden after SRC.

Do academic accommodations help students recover following sport-related concussion? A retrospective study of 96 youth athletes.

Many schools utilize academic accommodations to help athletes return-to-learn after sport-related concussion, yet little is known about the impact of accommodations on recovery. In a cohort of adolescent athletes with sport-related concussion, the authors sought to 1) describe academic accommodations, 2) determine predictors of receiving accommodations, and 3) determine how accommodations influenced recovery, as defined by days to return-to-learn, symptom resolution, and return-to-play. A retrospective survey study was undertaken that included all athletes between the ages of 12 and 24 years who were seen at a regional sport-related concussion center from April 1, 2020, to April 1, 2022. Demographic characteristics, past medical history, injury characteristics, school-related factors, and recovery were collected via a telephone-based survey and from medical charts. The independent variable was the use of academic accommodations by students. The outcome variables included days to return-to-learn, symptom resolution, and return-to-play. Univariable and multivariable logistic regression analyses were performed. Of 300 athletes contacted, 96 consented to participate in this study (mean age ± SD 16.6 ± 2.6 years, 60.4% male). The mean return-to-learn was 9.0 ± 13.2 days. In total, 63.5% of athletes received some kind of school accommodation. The most common accommodations included extra time on tests (46/96 [47.9%] athletes) and extra time for assignments (43/96 [44.8%]), whereas preferential seating in class (0/96 [0.0%]) and reduced workloads (4/96 [4.2%]) were the least commonly used accommodations. Multivariable logistic regression revealed that White race (OR 0.17, 95% CI 0.02-0.71, p = 0.03) and higher initial Post-Concussion Symptom Scale (PCSS) score (OR 1.04, 95% CI 1.01-1.07, p = 0.02) were predictive of receiving accommodations. Univariable models showed that receiving accommodations was not predictive of return-to-learn (β = 4.67, 95% CI -0.92 to 10.25, p = 0.10), symptom resolution (β = 24.71, 95% CI -17.41 to 66.83, p = 0.26), or return-to-play (β = 13.35, 95% CI -14.56 to 41.27, p = 0.35). Regarding other predictors of each outcome, several factors emerged irrespective of accommodations. Multivariable analysis revealed that longer time to return-to-learn was associated with a history of psychiatric illness (β = 8.00, 95% CI 1.71-14.29, p = 0.02) and initial PCSS score (β = 0.14, 95% CI 0.06-0.23, p < 0.01). Finally, predictors of days to return-to-play included school personnel who were knowledgeable of concussion (β = -5.07, 95% CI -9.93 to -0.21, p = 0.04) and higher initial PCSS score (β = 0.67, 95% CI 0.04-1.29, p = 0.03). The most common accommodation was extra time on tests/assignments, whereas reduced workload was the least common. White race and greater initial PCSS score were associated with receiving accommodations. Receiving accommodations did not significantly impact days to return-to-learn, symptom resolution, or return-to-play.

Acute psychological symptom profiles in high school football players following sport-related concussion.

In a cohort of high school football athletes, the authors sought to 1) describe the proportion of those with acute psychological symptoms postconcussion, 2) determine predictors of more acute psychological symptoms postconcussion, and 3) determine if acute psychological symptoms impact recovery. A retrospective cohort study of high school football athletes (14-18 years of age) who sustained a sport-related concussion between November 2017 and April 2022 and presented to a multidisciplinary concussion center was performed. Based on their Post-Concussion Symptom Scale (PCSS) scores at the initial clinic visit, their total psychological symptom cluster score was calculated by summing their scores for the four affective symptoms (irritability, sadness, nervousness, and feeling more emotional). The psychological symptom ratio was defined as the ratio of the psychological symptom cluster score to the total initial PCSS score. Primary outcomes included time to return to learn (RTL), symptom resolution, and return to play (RTP). Uni- and multivariable regression analyses were performed controlling for demographic factors, learning disabilities, attention-deficit/hyperactivity disorder, and personal and/or family history of psychological diagnoses and migraine. A total of 195 male football players (mean age 16.2 ± 1.2 years) were included in the study. About one-third of the sample (n = 70, 35.9%) reported at least one psychological symptom. Of these 70 athletes, their psychological symptom scores were 1 (10.3%), 2 (7.7%), and ≥ 3 (17.9%). Irritability was the most endorsed psychological symptom (25.1%), followed by nervousness (15.9%), feeling more emotional (12.8%), and sadness (11.8%). The multivariable regression model showed that a positive psychological history (B = 2.66, 95% CI 0.74-4.58, p = 0.007) and family psychological history (B = 2.43, 95% CI 0.98-3.88, p = 0.001) were significant predictors of a higher psychological symptom cluster score. Multivariable linear regression analysis showed that a higher psychological symptom cluster score was associated with a longer time to RTP (B = 1.22, 95% CI 0.17-2.264, p = 0.023) but not with time to symptom resolution or RTL. The psychological symptom ratio was not a significant predictor. In a cohort of male football players, 36% reported at least one psychological symptom, with irritability being most commonly reported. Athletes with a personal and/or family history of psychological disorders experienced more acute psychological symptoms following a sport-related concussion. A higher psychological symptom cluster score was associated with delayed time to RTP but not time to RTL or symptom resolution.

A - 162 Comparing Bilingual and Monolingual Baseline Post-Concussion Symptom Scale Network Structures.

Studies comparing Post-Concussion Symptom Scale (PCSS) ratings between bilingual Spanish/English- and monolingual English-speaking athletes have found increased symptom endorsements for bilingual individuals. Conducting network analysis on PCSS scores and comparing network structures between bilingual and monolingual individuals can help characterize possible differences in symptom interactions between these two groups. We conducted baseline PCSS network comparisons between bilingual and monolingual high school athletes to examine differences in symptom interactions. Bilingual (n = 5201) and monolingual (n = 5201) athletes completed the PCSS in English (matched by age, gender, and sport type). Network analysis was conducted on valid baseline PCSS scores, with nodes representing symptoms and edges representing partial correlations among symptoms. Each symptom's importance was determined by calculating their expected influence. Network connectivity, structure, and symptoms' expected influences were compared using Network Comparison Tests. Both networks had positive and negative edges. The strongest edges connected symptoms within similar domains (i.e., "feeling more emotional" and "sadness"). Node expected influence was stable in both networks. "Feeling more emotional", "difficulty concentrating", and "dizziness" were most influential in both networks. The networks did not differ in connectivity, structure, and expected influence. PCSS network connectivity, structure, and symptom influence do not differ between bilingual and monolingual athletes, suggesting differences do not exist in symptom interactions between groups and likely do not underly observed differences in symptom ratings. Future work should examine whether administration language influences symptom networks.

Do Sport-Related Concussions Later in the Season Take Longer to Recover From?

In a cohort of high-school football athletes with sport-related concussion (SRC), we sought to investigate the role of seasonality, defined as time of injury during a season, on recovery. Retrospective cohort study. Regional sport concussion center. High-school football athletes ages 14 to 19 -years old who sustained an SRC from 11, 2017 to 04, 2022. Athletes were divided into 3 groups based on seasonality: early, middle, and late season. The primary outcomes were initial Post-Concussion Symptom Scale score and recovery, as defined by time to return-to-learn (RTL), symptom resolution, and return-to-play (RTP). Descriptive statistics, analysis-of-variance, t tests, and multivariable regressions were performed. Of our cohort of 273 high-school football players who sustained an SRC, 97 (35.5%) sustained an SRC during early season, 107 (39.2%) during middle season, and 69 (25.3%) during late season. Compared with late-season concussions, early-season concussions took less days to symptom resolution (early = 11.5 ± 12.9 vs late = 25.5 ± 27.0, P = 0.03), but no differences were found in days to RTL (early = 5.3 ± 4.8 vs late = 7.2 ± 15.8, P = 0.51) and RTP (early = 13.5 ± 11.8 vs late = 23.0 ± 22.8, P = 0.08). Seasonality was not a significant predictor for any recovery metric in multivariable regressions. Sport-related concussions occurring in the early third of the season took significantly less time to symptom resolution than those occurring in the later third of the season; however, this was not statistically significant in multivariable analyses. No association was observed between seasonality and time to RTL and RTP. A trend of worse recovery with concussions later in the season may be present.

Does earlier vestibular therapy after sport-related concussion lead to faster recovery?

Many patients experience vestibular dysfunction following a sport-related concussion (SRC). Vestibular rehabilitation therapy has recently become more well established. In a cohort of athletes with SRC, the authors sought to 1) assess the relationship between symptoms at the initial clinic visit and time to referral for vestibular therapy, and 2) evaluate whether earlier referral to vestibular therapy was associated with faster recovery, as defined as days to return to learn (RTL), symptom resolution (SR), and return to play (RTP). A retrospective cohort study was conducted using a regional multidisciplinary concussion center's database. Patients aged 12-23 years diagnosed with SRC who received vestibular rehabilitation therapy between October 2017 and October 2021 were included. Demographics and Post-Concussion Symptom Scale (PCSS) scores were extracted. The independent variable of interest was time to vestibular therapy referral. The three outcome variables were RTL, SR, and RTP. Spearman's rho correlation (rho) was used to evaluate the relationship between total PCSS score and individual symptoms (balance problems, blurred vision, and dizziness) and time to referral for vestibular therapy. Multivariable linear regression was performed to determine the impact of time to vestibular therapy on the three outcomes of RTL, SR, and RTP. Covariates included initial symptom burden, age, and prior concussions. Forty-two concussed athletes were referred for vestibular therapy (mean age 16.8 ± 2.7 years; 54.8% female). The mean time from concussion to the initial clinic visit was 22.4 ± 20.2 days, and the mean time from the initial clinic visit to vestibular therapy referral was 4.9 ± 11.3 days. Initial total PCSS scores (rho[37] = 0.05, p = 0.78) and individual symptoms, including balance problems (rho[33] = -0.004, p = 0.98), blurred vision (rho[34] = -0.17, p = 0.33), and dizziness (rho[33] = 0.07, p = 0.67), were not correlated with time to referral for vestibular therapy. Multivariable linear regression analysis found that earlier vestibular therapy referral was predictive of shorter days to SR (p = 0.002) and RTP (p = 0.02) but not RTL (p = 0.59). In athletes with SRC referred for vestibular therapy, earlier vestibular therapy referral was significantly associated with faster time to RTP and SR. Future investigations should focus on identifying common postconcussive signs and symptoms that serve as indications for referral to vestibular therapy.

Pilot testing the SUCCESS peer mentoring program for students with concussion: the role of personas in mobile technology development

Purpose College students with concussion experience academic, cognitive and psychosocial challenges, yet frequently lack supports necessary for successful reintegration into school. Success in College after Concussion with Effective Student Supports (SUCCESS) is a virtual peer mentoring program designed to provide education, support and connection through a mobile application. The purpose of this study was to describe use of personas as components of mobile app development and conduct preliminary testing of SUCCESS using personas. Methods Personas were developed from case studies and portrayed by college students trained as fictitious mentees. Mentors were blinded to use of personas. Eleven mentors completed measures pre and post a 4-week mentoring cycle. Mentors and personas interacted in the app via chat, video calls and sharing of educational materials. Measures included the Post-Concussion Symptom Scale (PCSS); PROMIS Self-Efficacy; Depression, Anxiety and Stress Scale (DASS); and a series of focus groups. Results Mentors suggested improvements to resolve instability of video calls, expand educational materials to address psychosocial functioning, and add structure to the mentoring relationship. Some preferences around communication, like groups chats and emoji keyboards, were not able to be addressed. As expected, PCSS scores were stable. DASS score (p = .04), especially depression (p = .03), decreased. PROMIS scores showed a trend towards growth (p = .057), although were not statistically significant. Conclusions Use of personas allowed technical challenges and program refinements to be addressed before including students with subacute concussion in testing. Although continued development will address enhancement of communication modalities preferred by students, future efficacy testing of SUCCESS is warranted.

A-33 Examining Acute Symptoms after Sport-Related Concussion in Collegiate Athletes with Pre-Injury Migraines

Abstract Purpose To examine whether a personal history of migraines is associated with worse acute symptom burden following sport-related concussion (SRC) in collegiate athletes. Methods Data were collected through a prospective concussion surveillance system in 11 NCAA Division III college athletic programs between September 2014 and January 2023. Mann-Whitney U tests compared total Post Concussion Symptom Scale (PCSS) score and individual symptom scores (taken within 3 days of injury) between collegiate athletes with and without pre-injury migraines. Chi-squared tests were used to compare proportions of athletes endorsing individual symptoms (i.e., item score ≥1) between the two groups. Multivariable regression analyzed potential predictors of PCSS scores. Results Of 1,190 athletes with an SRC, 93 (7.8%) had a pre-injury history of migraines. No significant difference in total PCSS scores were found between athletes with and without pre-injury migraines (22.0±16.4 vs. 20.5±15.8; U=48719, p=.47). Athletes with pre-injury migraines reported greater “sensitivity to light” (1.59±1.59 vs. 1.23±1.41; p=.04) and “feeing more emotional” (0.91±1.27 vs. 0.70±1.30; p=.008). Athletes with migraine histories were more likely to endorse “feeing more emotional” (45.2% vs. 29.5%; p=.002). No differences were found across all other symptoms. In a multivariable model, history of migraine was not a significant predictor of acute PCSS scores, but those with a history of depression (β=0.12, p&amp;lt;.001) and longer days to symptom evaluation since injury (β=0.08, p=.005) had higher PCSS scores. Conclusions Collegiate athletes with a pre-existing history of migraines did not have higher acute symptom burden following SRC. Future studies should investigate whether migraine history is associated with recovery time.

A-12 The Impact of Injury Mechanism and Skill on Concussion in School and All Star Cheerleaders

Abstract Purpose Previous research determined that sports-related concussions (SRC) occurred at higher rates in cheerleading club practices compared to school practice. The purpose of the current study was to determine if mechanism of injury and skill during which injury occurred impacted symptom reporting and overall recovery days in school and All Star cheerleaders. Methods This study was a retrospective comparison of 101 female cheerleaders (aged 8-18 years) evaluated in a specialty concussion clinic and diagnosed with SRC from 2020-2023. Cheerleaders were stratified based on type of cheer, mechanism of injury, and skill during which they were injured. Post-Concussion Symptom Scale (PCSS) total score and recovery time in days were compared for each group. Chi square and factorial analyses were used. Results Most concussions occurred during stunting incidents (76.2%) with higher rates for school cheerleaders (43.6%) compared to All Star (32.7%). Tumbling incidents accounted for 11.9%, with higher rates for All Star (7.9%) compared to school cheerleaders (4.0%). Head to ground contact (49.5%) and head to body contact (42.6%) were the most reported mechanism of injury, with school cheerleaders having slightly higher rates (28.7%; 21.8%) compared to All Star cheerleaders (20.8%; 20.8%) respectively. School cheerleaders who suffered a SRC through head-to-head contact had significantly higher PCSS scores (P= 0.39) compared to other mechanisms across groups. Conclusions A majority of the SRCs in cheer athletes resulted from head to ground and head to body contacts. The results suggest that cheerleaders suffer higher rates of SRC when participating in stunting activities compared to other cheerleading skills. Future research examining the trajectory of recovery following SRC suffered in cheerleading, will identify the need for skill-specific protocols.

Evaluating Targeted Therapeutic Response With Predictive Blood-Based Biomarkers in Patients With Chronic Mild Traumatic Brain Injury.

Chronic consequences of mild traumatic brain injury (mTBI) are heterogeneous, but may be treatable with targeted medical and rehabilitation interventions. A biological signature for the likelihood of response to therapy (i.e., "predictive" biomarkers) would empower personalized medicine post-mTBI. The purpose of this study was to correlate pre-intervention blood biomarker levels and the likelihood of response to targeted interventions for patients with chronic issues attributable to mTBI. Patients with chronic symptoms and/or disorders secondary to mTBI >3 months previous (104 days to 15 years; n = 74) were enrolled. Participants completed pre-intervention assessments of symptom burden, comprehensive clinical evaluation, and blood-based biomarker measurements. Multi-domain targeted interventions for specific symptoms and impairments across a 6-month treatment period were prescribed. Participants completed a follow-up testing after the treatment period. An all-possible model's backward logistic regression was built to identify predictors of improvement in relation to blood biomarker levels before intervention. The minimum clinically important difference (MCID) of the change score (post-intervention subtracted from pre-intervention) for the Post-Concussion Symptom Scale (PCSS) to identify treatment responders from non-responders was the primary outcome. The MCID for total PCSS score was 10. The model to predict change in PCSS score over the 6-month intervention was significant (R2 = 0.09; p = 0.01) and identified ubiquitin C-terminal hydrolase L1 (odds ratio [OR] = 2.53; 95% confidence interval [CI], 1.18-5.46; p = 0.02) and hyperphosphorylated tau (p-tau; OR = 0.70; 95% CI, 0.51-0.96; p = 0.03) as significant predictors of symptom improvement beyond the PCSS MCID. In this cohort of chronic TBI subjects, blood biomarkers before rehabilitation intervention predicted the likelihood of response to targeted therapy for chronic disorders post-TBI.

The Effect of Physical Exertional Testing on Postconcussion Symptom Scale Scores in Male and Female High School Students.

Symptom scores commonly measured following concussion were compared between male and female adolescents with (Hx+) and without (Hx-) a history of concussion, pre and post physical exertion testing. Eighty (males [n = 60; Hx+ = 19], female [n = 20; Hx+ = 5]) high school students (ages 15-17y) completed the Buffalo Concussion Treadmill Test once and the modified shuttle run test twice. Symptom scores were collected using the 22-point Symptom Evaluation Scale on the Sport Concussion Assessment Tool (version 5) immediately pre and post physical exertion testing. The symptoms most reported during preexertional testing were fatigue/low energy, feeling slowed down, and nervous/anxious, whereas feeling slowed down, fatigue/low energy, "pressure in head" (males only), and headache (females only) were most frequently reported during postexertion testing. An understanding of the common exertion-related symptoms at baseline in a laboratory or field-based setting in adolescents may be advantageous for clinicians as they manage individual recovery postconcussion. This is particularly important during an adolescent's recovery and return to play when exertional testing may be implemented, especially since symptoms were reported pre and post exertional testing in both males and females regardless of concussion history.

Return-to-learn after sport-related concussion: does school level matter?

Return-to-learn (RTL) after sport-related concussion (SRC) is an important yet understudied topic. The authors sought to do the following: 1) describe patterns of RTL among athletes by school level (i.e., middle school, high school, college); and 2) evaluate the predictive value of school level on RTL duration. A retrospective, single-institution cohort study of adolescent and young adult athletes 12-23 years old who sustained an SRC between November 2017 and April 2022 and who presented to a multidisciplinary specialty concussion clinic was conducted. The independent variable was school level, trichotomized into middle school, high school, and college. Time to RTL was the primary outcome and was defined as days from SRC to return to any academic activities. ANOVA was used to compare RTL duration across school levels. A multivariable linear regression was performed to evaluate for predictive value of school level on RTL duration. Covariates included the following: sex, race/ethnicity, learning disorder, psychiatric conditions, migraines, family history of psychiatric conditions/migraines, initial Post-Concussion Symptom Scale score, and number of prior concussions. Of 1007 total athletes, 116 (11.5%) were in middle school, 835 (83.0%) were in high school, and 56 (5.6%) were in college. The mean RTL times (in days) were as follows: 8.0 ± 13.1 (middle school), 8.5 ± 13.7 (high school), and 15.6 ± 22.3 (college). One-way ANOVA showed a statistically significant difference between groups (F[2, 1007] = 6.93, p = 0.001). A Tukey post hoc test revealed a longer RTL duration in collegiate athletes when compared to middle school (p = 0.003) and high school (p < 0.001) athletes. Collegiate athletes had longer RTL duration compared to other school levels (β = 0.14, p < 0.001). There was no difference between middle school and high school athletes (p = 0.935). The subanalysis revealed a longer RTL duration in high school freshmen/sophomores (9.5 ± 14.9 days) when compared to juniors/seniors (7.6 ± 12.6 days; t = 2.05, p = 0.041), and being an older (junior/senior) high school athlete was predictive of shorter RTL duration (β = -0.11, p = 0.011). When examining patients who presented to a multidisciplinary sport concussion center, RTL duration was longer in collegiate athletes when compared to middle and high school athletes. Younger high school athletes had longer time to RTL compared to their older counterparts. This study provides insight into how varying scholastic environments may contribute to RTL.

329 Acute Cognitive Symptom Cluster Predicts Return-to-Learn Duration Following a Sport-Related Concussion

INTRODUCTION: Adolescents sustaining sport-related concussion (SRC) often experience difficulties with the return-to-learn (RTL) process. While initial symptom burden has predicted prolonged RTL, no studies have established a relationship between acute cognitive symptoms and RTL duration. METHODS: A retrospective single-institution cohort study of adolescent athletes 12-23-years-old evaluated within 5 days of a diagnosed SRC from 11/2017-10/2020 was conducted. Athletes missing cognitive symptom ratings and RTL data were excluded. The primary exposure variable was cognitive symptom score, consisting of 4 symptoms for a total possible score of 24. 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 Cognitive Symptom Ratio (CSR), defined as cognitive symptom score divided by Post-Concussion Symptom Scale (PCSS) score, on RTL duration. RESULTS: Of 653 athletes evaluated within 5 days of their concussion, 343 patients were included in the final cohort. Athletes reported a median initial PCSS score of 21 (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%). Median CSR was 0.18 (IQR 0.00-0.27). On multivariable regression analysis, higher CSR was associated with prolonged RTL duration (HR 0.30, 95% CI 0.13-0.69, p = .004). When initial PCSS 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 = .367). When dichotomized based on frequency distribution, a higher proportion of low CSR patients achieved RTL by 7 days post-injury (82.2% vs. 69.9%, p = .007), a difference not seen at 14 days (92.2% vs. 87.3%, p = .133). CONCLUSIONS: Acute cognitive symptom scores can predict who may be at increased risk for prolonged RTL and which patients with normal PCSS scores may experience difficulties once resuming school activities.

Predicting early versus late recovery from sport-related concussion using decision tree analysis.

Accurately predicting early (≤ 14 days) versus typical (15-27 days) or delayed (≥ 28 days) recovery from sport-related concussion (SRC) may allow for improved resource utilization and precision in planning and carrying out rehabilitation. In this study, the authors sought to develop an algorithm that enables accurate differentiation of recovery periods and duration after SRC. The authors hypothesized that data regarding initial symptom burden as quantified by a Post-Concussion Symptom Scale (PCSS) score, time to presentation, and number of prior concussions would be the most useful for analyzing predictive factors for concussion recovery duration. A retrospective case-control study was conducted to assess the primary outcome of days to clinical recovery following SRC in pediatric patients. Data from patients 12-18 years old presenting within 28 days of injury to an SRC clinic between November 11, 2017, and October 10, 2020, were analyzed. Patients with positive evidence of injury on head imaging or incomplete records were excluded. The primary outcome was duration of clinical recovery, grouped as early (≤ 14 days), typical (15-27 days), or delayed (≥ 28 days). Recovery was defined as follows: 1) symptom resolution or return to baseline, or 2) initiation of graduated return to play. CHAID (chi-square automatic interaction detection) analysis was used to optimize a decision tree based on 16 input factors, including age, sex, initial PCSS score, time to clinic presentation, number of prior concussions, and presence of defined symptom clusters. The cohort was randomized into training (70%) and test (30%) samples for algorithm validation. A total of 493 patients met the inclusion criteria (mean age 15.7 ± 1.5 years, 68.2% male, 70.0% White). The median time to presentation was 5 days (IQR 2-10 days). Most patients (52.3%) recovered within 14 days of injury, 21.5% recovered within 15-27 days, and 26.2% had a recovery period of 28 days or longer. The variables most predictive of recovery were initial PCSS score (cutoffs ≤ 6, 7-28, or ≥ 29), time to presentation (≤ 7 vs > 7 days), or prior concussions (0 vs ≥ 1). The model accurately discriminated between early versus typical or delayed recovery duration groupings (area under the curve 0.80, Youden index 0.44), and correctly classified > 90% of patients who recovered early. This novel three-factor predictive tool enabled accurate discrimination of early versus typical or delayed SRC recovery to better allocate resources, counsel patients, and make timely referrals.

411 The Cost of a Single Sport-Related Concussion in Adolescent Athletes

INTRODUCTION: Despite the ubiquity of sport-related concussions (SRC), the healthcare costs incurred by a single SRC are unknown. METHODS: We conducted a retrospective cohort study examining concussed athletes ages 12-23 who presented to a multi-disciplinary concussion center between 11/2017-10/2020. Athletes presenting for treatment more than 10 days post-injury and those sustaining &gt;1 concussion during the study period were excluded. The primary outcome was the direct cost of the concussion care episode, derived by matching visit and imaging dates with institution inflation-adjusted cost data. A multivariable linear regression examined predictors of total concussion care costs. Independent variables included relevant demographics, medical/family medical history, injury characteristics, and initial Post-Concussion Symptom Scale (PCSS) score. RESULTS: In total, 710 athletes were included. Median age was 16.1 years (IQR = 15.1-17.2; 66.5% male). Median initial PCSS was 26 (IQR = 6-39). Sports with the highest prevalence of SRC were football (n = 261, 36.8%), soccer (n = 102, 14.4%) and basketball (n = 97, 13.7%). The mean cost of an SRC care episode was $822 (SD = $1,233). The mean costs associated with a softball-related concussion were highest (M = $2,372, SD = $4,707), followed by basketball (M = $1,012 SD = $1,863), lacrosse (M = $924, SD = $1,101), and football (M = $814, SD = $993). A multivariable linear regression showed that higher initial PCSS (b = 4.87, 95% CI = 1.32-8.42, p = .007), number of prior concussions (b = 118.79, 95% CI = 42.71-194.88, p = .002), and having an emergency department/urgent care visit (b = 670.20, 95% CI = 497.66-842.74) were significant predictors of greater cost. CONCLUSIONS: With a mean value of $822 per SRC, healthcare costs associated with this common injury total over $3 billion annually in the U.S. Greater costs were associated with higher initial symptom burden, prior concussion history, and emergency department/urgent care utilization. A nuanced understanding of cost-driving factors associated with SRC is a prerequisite to understanding cost-effectiveness of prevention and treatment.

Investigation of Factors Contributing to Racial Differences in Sport-Related Concussion Outcomes

Following sport-related concussion (SRC), early studies have demonstrated racial differences in time to clinical recovery; however, these differences have not been fully explained. We sought to further explore these associations by considering possible mediating/moderating factors. Data from patients aged 12-18 years diagnosed with SRC from November 2017 to October 2020 were analyzed. Those missing key data, lost to follow-up, or missing race were excluded. The exposure of interest was race, dichotomized as Black/White. The primary outcome was time to clinical recovery (days from injury until the patient was either deemed recovered by an SRC provider or symptom score returned to baseline or zero.) RESULTS: A total of 389 (82%) White and 87 (18%) Black athletes with SRC were included. Black athletes more frequently reported no SRC history (83% vs. 67%, P= 0.006) and lower symptom burden at presentation (median total Post-Concussion Symptom Scale 11 vs. 23, P < 0.001) than White athletes. Black athletes achieved earlier clinical recovery (hazard ratio [HR]= 1.35, 95% CI 1.03-1.77, P=0.030), which remained significant (HR= 1.32, 95% CI 1.002-1.73, P= 0.048) after adjusting for confounders associated with recovery but not race. A third model adding the initial Post-Concussion Symptom Scale score nullified the association between race/recovery (HR=1.12, 95% CI 0.85-1.48, P= 0.410). Adding prior concussion history further reduced the association between race/recovery (HR= 1.01, 95% CI 0.77-1.34, P= 0.925). Overall, Black athletes initially presented with fewer concussion symptoms than White athletes, despite no difference in time to clinic. Black athletes achieved earlier clinical recovery following SRC, a difference explained by differences in initial symptom burden and self-reported concussion history. These crucial differences may stem from cultural/psychologic/organic factors.