Patients With Femoral Neck Fractures Are at Risk for Conversion to Arthroplasty After Internal Fixation: A Machine-learning Algorithm.

ABSTRACT:

Background

Femoral neck fractures are common and are frequently treated with internal fixation. A major disadvantage of internal fixation is the substantially high number of conversions to arthroplasty because of nonunion, malunion, avascular necrosis, or implant failure. A clinical prediction model identifying patients at high risk of conversion to arthroplasty may help clinicians in selecting patients who could have benefited from arthroplasty initially.

Question/purpose

What is the predictive performance of a machine-learning (ML) algorithm to predict conversion to arthroplasty within 24 months after internal fixation in patients with femoral neck fractures?

Methods

We included 875 patients from the Fixation using Alternative Implants for the Treatment of Hip fract

SUBMITTER: van de Kuit A 

PROVIDER: S-EPMC9653184 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature