A Risk Profile Calculator for Anterior Cruciate Ligament (ACL) Reconstruction Surgery using a Novel Scoring System:...

Area of Science:

• Orthopaedic surgery
• Sports medicine
• Biostatistics

Background:

• Anterior cruciate ligament (ACL) reconstruction failure rates are high (10-15%).
• Predicting high-risk patients pre-operatively is crucial for better surgical decision-making.
• Failure is likely multi-factorial, necessitating a comprehensive risk assessment.

Purpose of the Study:

• To identify risk factors associated with ACL reconstruction failure.
• To develop a predictive scoring system (MATS score) for ACLR failure.
• To enhance clinical decision-making for ACL surgeries.

Main Methods:

• Retrospective case-control study of 112 patients with ACL reconstruction.
• Patients were divided into failure (Group 1) and success (Group 2) groups.
• Risk factor regression analysis and ROC curve analysis were used to develop and validate the MATS score.

Main Results:

• The MATS score averaged 4.1 in the control group and 5.9 in the test group.
• A cut-off score of 5.5 demonstrated good sensitivity, specificity, and inter-observer reliability.
• Frequency mapping indicated a higher prevalence of risk factors in the ACLR failure group.

Conclusions:

• The MATS score effectively aids in predicting ACL reconstruction failure risk.
• Patients scoring ≤5 are considered low risk; those scoring ≥6 are high risk.
• This score can improve pre-operative patient stratification and surgical planning for ACLR.