Predictors of short-term outcomes after postoperative periprosthetic femoral fracture : a UK linked data analysis

Mohammad Aryaie1, Jonathan T Evans2, Cliff L Shelton3,4

  • 1Department of Primary Care and Public Health, School of Public Health, Imperial College, London, UK.

Bone & Joint Open
|November 2, 2025
PubMed

Insights

Patient factors like age and comorbidities predict outcomes for postoperative periprosthetic femoral fractures (POPFFs). No hospital factors were associated with adverse outcomes in this study of POPFF patients.

Area of Science:

  • Orthopedic Surgery
  • Health Services Research
  • Geriatric Medicine

Background:

  • Postoperative periprosthetic femoral fractures (POPFFs) following hip and knee arthroplasty are a growing concern with significant morbidity.
  • Understanding predictors of POPFF outcomes is crucial for improving patient care and resource allocation.

Purpose of the Study:

  • To identify patient and hospital-level factors associated with adverse short-term outcomes after POPFF.
  • To inform clinical practice and health policy regarding POPFF management.

Main Methods:

  • Retrospective analysis of administrative hospital data for POPFF admissions in England (April 2016 - December 2022).
  • Inclusion of demographic data, comorbidities, admission source, and pre-POPFF healthcare utilization.
  • Multilevel models used to predict in-hospital death, 30-day mortality, prolonged length of stay (LOS), and 30-day emergency readmission.

Main Results:

  • Older age, congestive heart failure, liver disease, and admission from a care home were associated with higher mortality and/or longer LOS.
  • Female patients had lower mortality and readmission rates.
  • Surgical fixation or revision for POPFF was linked to lower 30-day mortality but longer hospital stays.
  • Previous hip fracture and prior emergency admissions predicted readmission and longer LOS.
  • No association found between hospital-level National Hip Fracture Database KPIs or POPFF admission volume and patient outcomes.

Conclusions:

  • Patient-specific factors, including age, comorbidities, and prior healthcare interactions, are key predictors of adverse outcomes following POPFF.
  • Hospital-level performance indicators and admission volume did not significantly influence short-term POPFF outcomes in this cohort.
  • Future research should focus on optimizing patient-level risk stratification and management strategies for POPFF.
Abstract

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