Microbiologic Patterns Found in Periprosthetic Joint Infections Following Total Joint Arthroplasty Differ Across Race

Pranit Kumaran1, Julian Wier1, Sahil S Telang1

  • 1Department of Orthopaedic Surgery, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.

Arthroplasty Today
|August 22, 2026
PubMed
Abstract

Insights

Black patients have a higher risk of periprosthetic joint infection (PJI) caused by methicillin-resistant Staphylococcus aureus (MRSA) and gram-negative bacteria. Black males showed the highest MRSA rates, while Black females had the most polymicrobial infections.

Area of Science:

  • Orthopedic Surgery
  • Infectious Diseases
  • Health Disparities

Background:

  • Race and sex disparities in periprosthetic joint infection (PJI) incidence are documented.
  • Limited evidence exists on racial and sex differences in PJI microbial profiles.

Purpose of the Study:

  • To evaluate race- and sex-based differential microbial patterns of infecting organisms in patients with PJI.
  • To identify specific pathogens associated with PJI in different racial and sex groups.

Main Methods:

  • Utilized the Premier Healthcare Database (2016-2023) for patients aged ≥18 with PJI requiring antibiotic spacer placement.
  • Extracted microbiology data from synovial and tissue cultures during hospital admission.
  • Compared microbiological profiles by race using multivariable logistic regression and race-sex subanalysis via chi-squared testing.

Main Results:

  • Identified 9014 patients: 90.8% White, 9.2% Black.
  • Black patients had higher odds of infection by methicillin-resistant Staphylococcus aureus (MRSA) (aOR: 1.45) and gram-negative enterics (aOR: 1.45).
  • Black males had the highest MRSA rates (15.1%); Black females had the highest polymicrobial infection rates (24.3%).

Conclusions:

  • Black patients face a significantly greater risk of MRSA and gram-negative PJI.
  • Distinct microbial patterns observed: Black males highest for MRSA/gram-negative, Black females for polymicrobial infections.
  • Further research into socioeconomic and health access disparities is recommended to explain these findings.