Development of a Predictive Algorithm for Symptomatic Hip Abductor Tears in Patients Undergoing Primary Hip Arthroscopy
Authors: Rosinsky PJ, Diulus SC, Walsh JP, Meghpara MB, Shapira J, Maldonado DR, Lall AC, Kyin C, Domb BG
Background
Differentiating causes of lateral hip pain is challenging. Early and accurate diagnosis of hip abductor tears is critical to optimize treatment in patients undergoing hip arthroscopy for femoroacetabular impingement syndrome (FAIS).
Methods
This study developed a predictive model using demographic, radiographic, and intraoperative variables to identify patients at risk for symptomatic hip abductor tears.
Key Findings
Female sex, older age, and elevated BMI were significant predictors of hip abductor tears. The model demonstrated 90.7% accuracy in predicting the presence of tears.
Conclusions
The predictive algorithm offers a reliable tool to anticipate hip abductor pathology preoperatively, enabling improved diagnostic accuracy and surgical planning.
What Does This Mean for Providers?
Providers can utilize this predictive model to enhance preoperative assessment and tailor surgical strategies for patients at higher risk of hip abductor tears. Incorporating patient demographics and imaging findings may improve identification and management of this commonly missed pathology.