Predicting rotator cuff retear after arthroscopic repair: a lipoprotein-based model

Area of Science:

• Orthopedic Surgery
• Biochemistry
• Medical Diagnostics

Background:

• Rotator cuff tears are common tendon injuries, with arthroscopic rotator cuff repair (ARCR) being the standard treatment.
• Retear is a significant complication following ARCR, impacting patient outcomes.
• Understanding predictive factors for retear is crucial for improving surgical success rates.

Purpose of the Study:

• To investigate the correlation between systemic lipid metabolism markers and the occurrence of retear after ARCR.
• To identify preoperative lipid profiles that may indicate an increased risk of rotator cuff retear.
• To develop a predictive model for retear using lipid metabolism indicators.

Main Methods:

• Retrospective analysis of patients who underwent ARCR between January 2021 and January 2022.
• Inclusion criteria: complete preoperative lab tests and postoperative MRI follow-up; Exclusion criteria: specific conditions and treatments.
• Logistic regression analysis was used to identify significant preoperative factors associated with retear.

Main Results:

• High body mass index, subscapularis muscle fatty infiltration, elevated serum apolipoprotein B (ApoB), and a high ApoB/A1 ratio were significant risk factors for retear.
• Higher serum high-density lipoprotein (HDL) levels demonstrated a protective effect against retear.
• A predictive model incorporating HDL, ApoB, and ApoB/A1 ratio showed high accuracy in forecasting retear incidence.

Conclusions:

• Systemic lipid metabolism markers, specifically HDL, ApoB, and the ApoB/A1 ratio, are effective predictors of retear after ARCR.
• These lipid markers can be utilized to develop a predictive model for forecasting retear risk.
• The findings offer valuable insights for preoperative risk assessment and patient management following ARCR.