ArticleAntimicrobial agents and chemotherapy2024
Targeted antimicrobial regimens for Gram-negative prosthetic joint infections: a prospective multicenter study.
Article in Antimicrobial agents and chemotherapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Periprosthetic Joint Infection: Biofilm Pathogenesis, Immune Dysregulation, and Emerging Prosthetic Interface Strategies.Biology · 2026Review
- Sequential Multi-organism Periprosthetic Joint Infection after Total Hip Arthroplasty: A Case Report.Journal of orthopaedic case reports · 2026Article
- Cefepime/enmetazobactam for Gram-negative periprosthetic joint infections? A randomized porcine study on target tissue pharmacokinetics.The Journal of antimicrobial chemotherapy · 2026Article
- Gram-negative prosthetic joint infections: a retrospective multicentre European study of incidence, risk factors, and treatment outcomes.Journal of bone and joint infection · 2026Article
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
Fluoroquinolones (FQs) are considered the most effective antimicrobial treatment for Gram-negative prosthetic joint infection (GN-PJI). Alternatives are needed due to increasing FQ resistance and side effects. We aimed to compare different targeted antimicrobial strategies for GN-PJI managed by debridement, antibiotics, and implant retention (DAIR) or one-stage revision surgery (1SR) and to review the literature of oral treatment options for GN-PJI. In this prospective, multicenter, registry-based study, all consecutive patients with a PJI caused by a Gram-negative microorganism (including mixed infections with Gram-positive microorganisms), managed with DAIR or 1SR from 2015 to 2020, were included. Minimum follow-up was 1 year. Patients underwent targeted therapy with oral FQ, oral cotrimoxazole, or intravenous or oral β-lactams. Survival analysis was performed with use of Kaplan-Meier and Cox proportional hazards models to identify factors potentially associated with treatment failure. Seventy-four patients who received either FQ (
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