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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]

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]

Objective: The aim of this study was to identify the accuracy of the McMurray test in the adolescent and pediatric population. Design: Retrospective case series. Setting: Tertiary care, institutional. Patients: Inclusion criteria included patients who presented with unilateral knee pain and were seen by pediatric sports medicine physicians. Patients were excluded if their knee pain was related to any underlying conditions. Three hundred patient charts were reviewed, and 183 patients (age range: 8-18 years, mean: 14 years; 74 male) met the inclusion criteria. Interventions: Symptoms at initial visit (knee pain). Main Outcome Measures: Presence of a meniscal tear using the McMurray test. Results: Eighty-four percent (160/191) of patients had a McMurray test documented as performed by the physician, and 17% (27/160) elucidated a positive response. Of 26 patients who had a positive McMurray and underwent magnetic resonance imaging (MRI), 16 (62%) showed a meniscal tear on their MRI. However, of the 87 patients who had a negative McMurray and still underwent MRI, 25 (29%) had a positive meniscal tear. The sensitivity, specificity, positive predictive value, and negative predictive value were 39%, 86%, 62%, and 71%, respectively. Conclusion: In a pediatric and adolescent population, the McMurray test was negative for 61% (23/38) of meniscal tears identified on MRI. Clinical Relevance: Although the test can be a useful tool as a part of a thorough evaluation, combining it with mechanical symptoms, patient history and imaging may be more helpful to diagnose a meniscus tear. [ABSTRACT FROM AUTHOR]