Development and validation of multiple linear regression models for predicting total hip arthroplasty acetabular...

Area of Science:

• Orthopedic surgery
• Biomedical engineering
• Medical imaging and diagnostics

Background:

• Total hip arthroplasty (THA) is a common procedure for hip joint replacement.
• Accurate sizing of the acetabular prosthesis is crucial for successful THA outcomes.
• Current methods for determining prosthesis size may involve intraoperative measurements or pre-operative imaging.

Purpose of the Study:

• To develop a multivariate linear equation for predicting the outer diameter of acetabular prostheses used in THA.
• To identify key anthropometric predictors for acetabular prosthesis diameter.

Main Methods:

• A cohort of 258 patients undergoing THA was analyzed.
• Independent variables included height, weight, foot length, gender, and age.
• Multiple linear regression was employed to establish a predictive equation, with results validated on a separate cohort.

Main Results:

• Height, weight, and foot length showed significant positive correlations with acetabular prosthesis diameter.
• A predictive equation was derived: Y = 20.592 + 0.548 × foot length + 0.083 × height + 0.077 × weight.
• The equation achieved 64.94% accuracy within one size and 94.81% accuracy within two sizes.

Conclusions:

• Anthropometric measurements can reliably predict acetabular prosthesis diameter in THA.
• This predictive model can aid surgeons in selecting appropriate prosthesis sizes, potentially improving surgical efficiency and outcomes.