10.2 Medical disqualification following concussion: a care consortium study

• Published in: British journal of sports medicine 2024-01, Vol.58 (Suppl 1), p.A53-A53
• Main Authors: Schmidt, Julianne, Rawlins, Michelle Weber, Lynall, Robert, D’Lauro, Christopher, Clugston, James, McAllister, Thomas, McCrea, Michael, Broglio, Steven
• Format: Article
• Language: English
• Subjects: Concussion; Consortia; First Round Abstract Submissions; Student athletes
• ISSN: 0306-3674; 1473-0480
• DOI: 10.1136/bjsports-2023-concussion.141

ObjectiveTo model the odds of medical disqualification (MDQ) from sport following concussion.DesignLongitudinal Cohort.Setting26 Universities and 3 Military Academies within the United States.ParticipantsAmong 1832 student-athletes diagnosed with concussion within the CARE Consortium, 53 (2.9%) were medically disqualified (MDQ+) and 1779 (97.1%) were not (MDQ-). Our final model contained 46 MDQ+ and 1591 MDQ- athletes due to missing data.Interventions (or Assessment of Risk Factors)We built a forward conditional multivariate logistic regression model informed by univariate analyses to predict MDQ status using: concussion history (ref=0,1,2,3+), post-concussion mental health complications (ref=no,yes), post-concussion substance use (ref=no,yes), prolonged recovery due to other injuries (ref=no,yes), prolonged recovery due to motivation issues (ref=no,yes), 1+ headaches in the previous 3 months (ref=no,yes), and days to symptom resolution.Outcome MeasuresMDQ status reported by managing clinicians.Main ResultsThe model explained 15% of the variance in MDQ status (Nagelkerke R2=0.146, p