Predictors of In-Hospital Mortality, Cost, and Length of Stay following Periprosthetic Fracture of the Hip

Ramón A Arza1, Ajay S Potluri1, Mitchell Thom2

  • 1Case Western Reserve University School of Medicine, Cleveland, OH, USA.

Hip & Pelvis
|June 2, 2026
PubMed

Insights

Predictors of in-hospital mortality, length of stay, and costs for periprosthetic hip fractures (PPHFx) after total hip arthroplasty (THA) were identified. Higher comorbidity and advanced age were linked to mortality, while race and hospital type influenced costs and length of stay.

Area of Science:

  • Orthopedic Surgery
  • Health Services Research
  • Geriatric Medicine

Background:

  • Total hip arthroplasty (THA) is increasingly common.
  • Periprosthetic hip fractures (PPHFx) following THA carry significant morbidity and economic burden.
  • Identifying predictors for PPHFx outcomes is crucial for patient management and resource allocation.

Purpose of the Study:

  • To identify predictors of in-hospital mortality.
  • To identify predictors of length of stay (LOS).
  • To identify predictors of hospital costs associated with PPHFx.

Main Methods:

  • Retrospective analysis of the National Inpatient Sample (NIS) database from 2016-2019.
  • Inclusion of patients diagnosed with periprosthetic fractures around hip prostheses (ICD-10-CM codes M97.01XA, M97.02XA).
  • Univariable and multivariable logistic and linear regression analyses were used to assess predictors of mortality, LOS, and costs.

Main Results:

  • Significant predictors of in-hospital mortality included advanced age, female sex, and comorbidities like metastatic cancer and liver disease.
  • Increased LOS was associated with black race, comorbidities (paralysis, fluid/electrolyte disorders), payment source, income, hospital size, and type.
  • Hospital costs were associated with race, comorbidities, hospital type, and the specific procedure performed.

Conclusions:

  • Higher comorbidity burden (fluid/electrolyte disorders, paralysis, metastatic cancer) is linked to mortality, LOS, and costs in PPHFx.
  • Advanced age, especially in nonagenarians, predicts in-hospital mortality.
  • Procedure type is a primary driver of hospital costs for PPHFx.
Abstract

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