Development of a Predictive Algorithm for Symptomatic Hip Abductor Tears in Patients Undergoing Primary Hip Arthroscopy

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
DOI: 10.1177/0363546520980461

Background

Diagnosing the cause of lateral hip pain can be challenging, as several conditions may lead to similar symptoms. Identifying risk factors for hip abductor tears is crucial for improving diagnosis and treatment.

Methods

The study aimed to develop a predictive model for diagnosing symptomatic hip abductor tears in patients undergoing hip arthroscopy for femoroacetabular impingement syndrome (FAIS). It used demographic data, radiographic measurements, and intraoperative findings to predict tear presence.

Key Findings

The predictive model identified female sex, increasing age, and higher body mass index (BMI) as significant risk factors for hip abductor tears. The model was found to be 90.7% efficient in predicting tears.

Conclusions

A predictive model was successfully developed that helps identify the likelihood of a hip abductor tear before surgery, aiding in more accurate diagnosis and treatment planning.

What Does This Mean for Patients

If you're undergoing hip arthroscopy, this model can help your surgeon assess the probability of having a hip abductor tear based on factors like age, BMI, and sex, leading to more targeted treatment.