Abstract
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.
5 P Variables and other Patient Characteristics Comparing PPCS and no PPCS groups
Symptom resolution time among the three 5P risk categories (