HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Recurrent periprosthetic joint infection: persistent or new infection?

Abstract
It is unclear if recurrent periprosthetic joint infection (PJI) is a result of failed pathogen eradication. This study addresses this issue. We identified 92 patients from three institutions who failed two-stage exchange. Cultured organisms at each stage of treatment were compared to determine whether these were persistent or new infections. Only twenty-nine of the 92 patients (31.5%) had identical organisms at treatment failure. Of the failures associated with Staphylococcus as the original infecting organism, 37% (25 of 67) failed due to the same organism compared to only 16% (four of 25) caused by other organisms. Positive cultures at reimplantation and poor health status were associated with higher rates of recurrent infection due to new organisms. Successful management of PJI with a two-stage exchange must stress minimization of comorbid risk factors that may contribute to the low success rate of PJI treatment and recurrence of infection.
AuthorsBenjamin Zmistowski, Matthew W Tetreault, Pouya Alijanipour, Antonia F Chen, Craig J Della Valle, Javad Parvizi
JournalThe Journal of arthroplasty (J Arthroplasty) Vol. 28 Issue 9 Pg. 1486-9 (Oct 2013) ISSN: 1532-8406 [Electronic] United States
PMID23587491 (Publication Type: Journal Article)
CopyrightCopyright © 2013 Elsevier Inc. All rights reserved.
Topics
  • Adult
  • Aged
  • Aged, 80 and over
  • Arthroplasty, Replacement (adverse effects)
  • Female
  • Humans
  • Male
  • Middle Aged
  • Prosthesis-Related Infections (microbiology, therapy)
  • Recurrence
  • Retrospective Studies
  • Treatment Failure

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: