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

Background: Persistent postconcussive symptoms (PPCS) can negatively impact quality of life, school, and return to sport. The Predicting and Preventing Postconcussive Problems in Pediatrics [5P] clinical risk score has been validated in the Emergency Department setting to predict pediatric patients at risk of PPCS using 9 variables. Hypothesis/Purpose: To determine if the 5P risk score, obtained within 14 days of concussion, predicts which athletes seen in an athletic training or pediatric sports medicine clinic setting develop PPCS in a multi-center sample. Methods: Data were prospectively collected from participants enrolled in the Sport Concussion Outcomes in Pediatrics (SCOPE) study between September 2018-May 2021 across seven sites. Participants aged 6-18 years diagnosed with a concussion who presented within 14 days of injury were included. Demographics, medical history, and the Postconcussion Symptom Inventory (PCSI) were reviewed to calculate the 5P risk score. 5P risk scores were stratified as low (0-3 points), medium (4-8 points), and high risk (9-12 points). Participants were grouped based on symptom resolution time: PPCS (≥28 days) and no PPCS (<28 days). We compared total symptom resolution time among the 5P risk categories using one-way ANOVA and assessed the odds of developing PPCS based on 5P risk score using a binary logistic regression model. Results: We included 117 participants: 23 with PPCS (19.7%). A higher proportion of the PPCS group were female, were seen in a sports medicine clinic setting, and had a longer time to initial presentation (Table 1). Both PCSI symptom severity and 5P risk score were significantly higher in the PPCS group compared to the no PPCS group (p<0.001). Participants with high risk 5P scores had a significantly longer mean symptom resolution time compared to those with low risk scores (Figure 1; 28.4±18.2 vs 7.1±6.8 days, p=0.009). After adjusting for potential confounding variables of initial symptom severity, time to presentation, and assessment setting, each point increase on the 5P risk score was associated with a 1.7x odds of developing PPCS (odds ratio=1.66; 95% CI=1.13, 2.41; p=0.009). Conclusion: In a multi-center sample of youth athletes, the 5P risk score accurately predicted which athletes were at risk for developing PPCS. The odds of developing PPCS increases with each point increase on the risk score. The 5P risk score can help clinicians identify which athletes are likely to develop PPCS, which may aid in educating families on expectations of recovery and/or provide opportunities for targeted intervention to facilitate sooner recovery. Table 1. 5 P Variables and other Patient Characteristics Comparing PPCS and no PPCS groups Figure 1. Symptom resolution time among the three 5P risk categories (Low : n=15; Medium : n=80; High : n=25; p=0.009) [ABSTRACT FROM AUTHOR]

Motion analysis offers objective insight into biomechanics, rehabilitation progress and return to sport readiness. This study examined changes in three-dimensional movement patterns during drop jump landing between early and late stages of rehabilitation in adolescent athletes following anterior cruciate ligament reconstruction (ACLR). Twenty-four athletes (58% female; mean age 15.4 years, SD 1.2) with unilateral ACLR underwent motion analysis testing 3–6 months and again 6–10 months post-operatively. Kinematics and kinetics were compared between visits and between limbs using repeated measures ANOVA. The operative side exhibited lower vertical ground reaction force, less energy absorption and lower sagittal external moments at the knee and ankle, and lower peak dorsiflexion angles compared with the non-operative side regardless of visit. Between visits, hip and knee flexion increased bilaterally, as well as hip flexion moments and energy absorption. During early rehabilitation following ACLR, adolescent athletes reduced flexion and loading of the knee and ankle on their operative limb. Motion and loading increased over time, particularly at the hip, but remained reduced at the knee and ankle 6–10 months post-operatively. [ABSTRACT FROM AUTHOR]

Purpose: To determine the association between sport specialization and self-reported knee injury history in soccer athletes. Methods: A total of 761 soccer athletes (431 females; mean age: 14.7 ± 1.8 years) between 12 and 18 years of age completed an online questionnaire. Sex- and age-adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated to investigate associations of specialization and volume of participation with knee injury history (P = .05). Results: Highly specialized athletes were more likely to report a history of an overuse (OR = 2.05 [95% CI: 1.07 to 3.90]) and acute (OR = 1.68 [95% CI: 1.01 to 2.78]) knee injury compared to low specialization athletes. Highly specialized athletes were 5.49 times more likely to report an overuse knee injury (OR: 5.49 [95% CI: = 2.23 to 13.50]) when injuries were limited to only those attributed to soccer. Playing one sport more than 8 months per year was associated with overuse knee injuries (OR = 1.97 [95% CI: 1.01 to 3.86]). Conclusions: Specialization in soccer is associated with the increased risk of acute and overuse knee injuries. [ABSTRACT FROM AUTHOR]

* BACKGROUND: Return-to-sport protocols after anterior cruciate ligament reconstruction (ACLR) often include assessment of hop distance symmetry. However, it is unclear whether movement deficits are present, regardless of hop symmetry. * OBJECTIVES: To assess biomechanics and symmetry of adolescent athletes following ACLR during a single-leg hop for distance. * METHODS: Forty-six patients with ACLR (5-12 months post surgery; 27 female; mean ± SD age, 15.6 ± 1.7 years) were classified as asymmetric (operative-limb hop distance less than 90% that of nonoperative limb [n = 17]) or symmetric (n = 29) in this retrospective cohort. Lower extremity biomechanics were compared among operative and contralateral limbs and 24 symmetric controls (12 female; mean ± SD age, 14.7 ± 1.5 years) using analysis of variance. * RESULTS: Compared to controls, asymmetric patients hopped a shorter distance on their operative limb (P<.001), while symmetric patients hopped an intermediate distance on both sides (P≥.12). During landing, the operative limb, regardless of hop distance, exhibited lower knee flexion moments compared to controls and the contralateral side (P≤.04), with lower knee energy absorption than the contralateral side (P≤.006). During takeoff, both symmetric and asymmetric patients had less hip extension and smaller ankle range of motion on the operative side compared with controls (P≤.05). Asymmetric patients also had lower hip range of motion on the operative, compared with the contralateral, side (P = .001). * CONCLUSION: Both symmetric and asymmetric patients offloaded the operative knee; symmetric patients achieved symmetry, in part, by hopping a shorter distance on the contralateral side. Therefore, hop distance symmetry may not be an adequate test of single-limb function and return-to-sport readiness. [ABSTRACT FROM AUTHOR]

This study compared three-dimensional (3-D) hip and knee kinematics and kinetics between lateral shuffle and side-step cutting movements to determine whether the simpler lateral shuffle movement can be used in place of cutting to assess knee injury risk. A total of 78 patients (52 female) and 34 controls (16 female) aged 8-19 years performed lateral shuffle and 45° side-step cutting movements. Hip and knee kinematics and kinetics between initial contact and peak knee flexion were calculated using the Plug-in-Gait model and compared between activities using Pearson's correlation and paired t-tests. Peak knee valgus angle correlated strongly (r=0.86, p<0.0001), while minimum (r=0.25, p=0.0001) and peak hip abduction (r=0.24, p=0.0003), and peak hip internal rotation (r=0.33, p<0.0001) correlated only weakly between the two activities. Peak external knee valgus moment (r=0.32, p<0.0001) and average external knee (r=0.42, p<0.0001) and hip (r=0.37, p<0.0001) flexion moments correlated weakly to moderately between activities. Subjects were more internally rotated (3.6°, p<0.0001) and less abducted (16.7° and 17.3° for minimum and maximum, p<0.0001) at the hip during cutting, with higher hip (0.12, p<0.0001) and lower knee (-0.02, p=0.0001) non-dimensional flexion moments. These results suggest that the lateral shuffle movement may be useful for evaluating knee valgus, particularly during initial visual assessment. However, the lateral shuffle may not be challenging enough to reveal poor neuromuscular control over hip ab/adduction and rotation, necessitating follow-up assessment of cutting, ideally using 3-D motion analysis. [ABSTRACT FROM AUTHOR]

Background The need for medical care for student athletes is mounting, as participation in high school athletics is continuing to rise. This study assessed medical care available to high school student athletes in a large, urban school district in California that has not been studied since 2002. By surveying athletic directors and coaches, we expected to find inadequate availability of medical care in the studied district and predicted that care would be more widely available for student athletes at larger high schools. Methods We developed and validated a questionnaire assessing practice and game coverage, emergency preparedness, treatment, and injury prevention measures. The survey was administered to athletic directors and coaches at a school district athletic directors’ meeting. Results Forty‐three (57%) of 75 distributed surveys were completed. We found that 70% of schools did not staff a healthcare provider for practices, 28% did not staff home games, and 30% did not staff away games, for any sports. We found no significant differences between school sizes with respect to physician referrals after a student was injured, provision of health education, or implementation of emergency action plans. Conclusions Although these data do not support our hypothesis of larger schools providing better medical care, it suggests that there are multiple areas of inadequate healthcare regardless of school size. We identified numerous gaps; thus, future work will examine the impact of these gaps. [ABSTRACT FROM AUTHOR]

Background: Understanding movement variability is important to guide biomechanical assessment. Variability may change with age, and more repetitions of a movement need to be assessed when variability is high.Research Question: This study quantified the trial-to-trial (within subject) variability of three tasks commonly assessed during sports biomechanical testing: vertical drop jump, heel touch (single leg squat from step), and single leg hop. We hypothesized that pre-teen athletes would exhibit greater variability than more mature teenage athletes when performing all of these movements.Methods: Fifty-five uninjured pediatric athletes ages 7-15 years performed 3 repetitions of vertical drop jump, heel touch, and single leg hop for distance tasks during 3D motion analysis testing. Trial-to-trial variability was assessed using the standard deviation (SD) and range (maximum-minimum) of clinically relevant kinematic and kinetic metrics among the multiple repetitions of each task performed by each participant. Variability was compared between age groups using 2-sided t-tests. Standard error of measurement (SEM) and minimum detectable difference (MDD) were also calculated for each variable of interest.Results: For drop jump and heel touch, kinetic variability was similar between groups, but the younger group had greater kinematic variability. However, the older group was much more variable than the younger group during single leg hop landing, particularly in terms of kinetics and sagittal plane kinematics. Overall, kinematic variability had a median within-subject SD of 1-9°, median range of 2-17°, and 95th percentile for range of >15-20° for many of the variables examined. MDD was >10° for many kinematic variables, >0.2 Nm/kg for all frontal plane moments, >0.4 Nm/kg for most sagittal plane moments, and >0.5 W/kg for most energy absorption variables.Significance: The high within-subject trial-to-trial variability in performing sports tasks suggests that multiple trials should be analyzed for a more complete and representative evaluation. [ABSTRACT FROM AUTHOR]

Objective: To understand factors associated with missed academic time after concussion to improve support for patients. Our goal was to assess patient-specific predictors of total school time lost after pediatric/adolescent concussion., Study Design: We performed a prospective cohort study of children and adolescents (8-18 years of age) seen within 14 days of concussion from seven pediatric medical centers across the United States. We collected outcomes via the Concussion Learning Assessment & School Survey (CLASS) and constructed a multivariable predictive model evaluating patient factors associated with school time loss., Results: 167 patients participated (mean age = 14.5 ± 2.2 years; 46% female). Patients were assessed initially at 5.0 ± 3.0 days post-injury and had a final follow-up assessment 24.5 ± 20.0 days post-concussion. Participants missed a median of 2 days of school (IQR = 0.5-4), and 21% reported their grades dropped after concussion. Higher initial symptom severity rating (β = 0.06, 95% CI = 0.03-0.08, p  < 0.001) and perception of grades dropping after concussion (β = 1.37, 95% CI = 0.28-2.45, p  = 0.01) were significantly associated with more days of school time missed after concussion. Those who reported their grades dropping reported missing significantly more school (mean = 5.0, SD = 4.7 days missed of school) than those who reported their grades did not drop (mean = 2.2, SD = 2.6 days missed of school; p  < 0.001; Cohen's d = 0.87)., Conclusions: Children and adolescents reported missing a median of 2 days of school following concussion, and more missed school time after a concussion was associated with more severe concussion symptoms and perception of grades dropping. These findings may support recommendations for minimal delays in return-to-learn after concussion.

Background: Fishman et al. reported that side plank poses asymmetrically strengthened the convex side of the curve and decreased primary Cobb angle by 49% among compliant patients with adolescent idiopathic scoliosis (AIS)., Methods: AIS patients with curves of 10° to 45° were randomized into the front plank (control) or side plank group. The side plank was performed with their curve convex down. A weekly survey monitored compliance, defined by completing poses 4 or more times a week., Results: A total of 64 patients were enrolled; 34% (22 of 64) of patients (mean age = 13 years) were compliant. In the control group, there were 11 compliant patients with 6 undergoing brace treatment. At enrollment, they had a mean Cobb angle of 30° (range: 14°-40°) and mean scoliometer reading of 13°. At 6 months, they had a mean Cobb angle of 30° (range: 14°-42°) and mean scoliometer of 12°. In the side plank group, there were 11 compliant patients with 5 undergoing brace treatment. At enrollment, they had a mean Cobb angle of 32° (range: 21°-44°) and mean scoliometer reading of 12°. At 6 months, they had a mean Cobb angle of 31° (range: 17°-48°) and a mean scoliometer reading of 13°. There were no significant changes in either the control or side plank group in regards to primary Cobb angle (control: P  = .53, side plank: P  = .67) or scoliometer (control: P  = .22, side plank: P  = .45)., Conclusion: There were no significant changes in primary Cobb angle or scoliometer after 6 months of side plank exercises. In contrast to a prior study, there was no improvement in curve magnitude in AIS patients performing side plank exercises., (© The Author(s) 2019.)