The Elbow Ulnar Collateral Ligament Injury Prognosis Score

Area of Science:

• Orthopedic Surgery
• Sports Medicine
• Biostatistics

Background:

• No predictive model exists for nonoperative treatment success in elbow ulnar collateral ligament (UCL) injuries.
• Reported return-to-play (RTP) rates after nonoperative UCL management are inconsistent.
• Factors influencing nonoperative treatment failure in UCL injuries remain unestablished.

Purpose of the Study:

• Identify patient and injury factors predicting successful RTP after nonoperative management of UCL injuries in baseball players.
• Develop a prognostic score for UCL injury treatment outcomes.
• Guide clinical decision-making for nonoperative UCL injury management.

Main Methods:

• Retrospective cohort study of 205 patients with UCL injuries (2010-2020).
• Developed the Elbow UCL Injury Prognosis Score using logistic regression with backward stepwise and best subset methods.
• Validated the score using 5-fold cross-validation against a logistic model.

Main Results:

• The Elbow UCL Injury Prognosis Score predicts surgical necessity based on age, MRI findings, and paresthesia.
• The model achieved 78.7% accuracy, perfect sensitivity, and high negative predictive value (AUC 0.86).
• A lower score indicates a higher likelihood of successful nonoperative RTP.

Conclusions:

• The Elbow UCL Injury Prognosis Score aids in selecting patients for nonoperative management versus surgery.
• Scores ≥8 suggest an >80% probability of requiring surgery, preventing delayed interventions.
• This score is a practical, validated tool for bedside counseling on UCL injury treatment outcomes.