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Author Spotlight: Advancing Research on Candida albicans Biofilm-Associated Prosthetic Joint Infections
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Surgeon-Specific Infection Rates and Risk Factors for Prosthetic Joint Infections.

Necati Mumcu1, Zeynep Türe Yüce2, Gamze Kalın Ünüvar2

  • 1Department of Infectious Diseases, Ahi Evran University Faculty of Medicine, Kırşehir, Türkiye.

Journal of Clinical Practice and Research
|November 19, 2025
PubMed
Summary
This summary is machine-generated.

This study identified risk factors for prosthetic joint infections (PJIs) after knee and hip replacements. Effective prevention and treatment strategies are crucial for successful outcomes in PJI patients.

Keywords:
Prosthetic joint infectionsdaptomycinrisk factorsspecific surgeon

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Area of Science:

  • Orthopedic Surgery
  • Infectious Diseases
  • Epidemiology

Background:

  • Prosthetic joint infections (PJIs) are a significant complication of arthroplasty, leading to increased morbidity, mortality, and healthcare costs.
  • Identifying surgeon-specific infection rates and associated risk factors is crucial for improving patient outcomes.

Purpose of the Study:

  • To determine surgeon-specific prosthetic joint infection (PJI) rates following primary total knee and hip arthroplasty.
  • To identify patient-specific risk factors associated with the development of PJIs.
  • To analyze treatment outcomes for patients with established PJIs.

Main Methods:

  • Prospective monitoring of patients undergoing primary total knee and hip arthroplasty by a single surgeon.
  • Retrospective analysis of patients admitted with a PJI to the same surgeon.
  • Statistical analysis to identify significant risk factors and treatment success rates.

Main Results:

  • The PJI rate in the primary arthroplasty cohort was 3.2% (5 out of 152 patients).
  • Identified risk factors for PJI included diabetes mellitus, rheumatoid arthritis, superficial surgical wound infections, and postoperative hematomas.
  • Gram-positive microorganisms were the most common pathogens (84.6%) in PJI cases. Overall treatment success was 76%, with 72.2% success for daptomycin treatment.

Conclusions:

  • Effective perioperative management, including glycemic control and wound care, is essential for PJI prevention.
  • Tailoring PJI treatment based on local surveillance data and pathogen prevalence improves success rates.
  • Adherence to infection control protocols and appropriate management of comorbidities are critical for reducing PJI incidence and improving outcomes.