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Introduction <p>This study aims to determine whether distal femoral morphology (DFM) constitutes a risk factor for periprosthetic femoral fractures (PPFs) in a cohort of patients who underwent posterior-stabilized total knee arthroplasty (PS-TKA).</p> Materials and methods <p>Retrospective study of patients who had undergone primary PS-TKA, with a follow-up of minimum two&#xa0;years. Citak’s ratio was calculated, and patients were classified according to DFM. Univariate and multivariate statistical analysis was performed to identify PPFs risk factors. ROC analysis was performed to evaluate the ability of DFM to distinguish patients at risk for PPFs.</p> Results <p>A total of 2452 patients 1644 female, 808 male were included in the analysis. The mean age of the participants was 70.2&#xa0;years (SD = 6.4). PPFs were detected in 33 patients (1.35%). According to the Citak classification, patients were categorized as Group A (4/33, 12.1%), Group B (8/33, 24.2%), and Group C (21/33, 63.7%). DFM was significantly related to the PPFs rate (p = 0.001). The ROC curve analysis yielded an Area Under the Curve (AUC) of 0.669 (CI 95% 0.580–0.758) for the DFM.</p> Conclusions <p>Preoperative evaluation of distal femoral morphology and management of osteoporosis may reduce the risk of fractures after PS-TKA.</p>

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Is there an association between distal femoral morphology and periprosthetic femoral fracture risk after Posterior-Stabilized Total Knee Arthroplasty?

  • 期刊论文

  • 发表日期：

    2026年2月17日

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  • Halil Karaca,
  • Ahmet Selami Kaya,
  • Emre Kurt,
  • Kursad Aytekin,
  • Mustafa Cıtak

摘要

Introduction

This study aims to determine whether distal femoral morphology (DFM) constitutes a risk factor for periprosthetic femoral fractures (PPFs) in a cohort of patients who underwent posterior-stabilized total knee arthroplasty (PS-TKA).

Materials and methods

Retrospective study of patients who had undergone primary PS-TKA, with a follow-up of minimum two years. Citak’s ratio was calculated, and patients were classified according to DFM. Univariate and multivariate statistical analysis was performed to identify PPFs risk factors. ROC analysis was performed to evaluate the ability of DFM to distinguish patients at risk for PPFs.

Results

A total of 2452 patients 1644 female, 808 male were included in the analysis. The mean age of the participants was 70.2 years (SD = 6.4). PPFs were detected in 33 patients (1.35%). According to the Citak classification, patients were categorized as Group A (4/33, 12.1%), Group B (8/33, 24.2%), and Group C (21/33, 63.7%). DFM was significantly related to the PPFs rate (p = 0.001). The ROC curve analysis yielded an Area Under the Curve (AUC) of 0.669 (CI 95% 0.580–0.758) for the DFM.

Conclusions

Preoperative evaluation of distal femoral morphology and management of osteoporosis may reduce the risk of fractures after PS-TKA.