Evidence map›Paper›PMID 42632884›Full record

ArticleJournal of orthopaedic surgery and research2026

Decoding resistance: a comprehensive study on pathogens and antibiotic efficacy in periprosthetic joint infections.

Niklas Hahn, Marcus Jäger, Alexander Wegner, Tobias Ludger Schulte, André Busch

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Article in Journal of orthopaedic surgery and research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Niklas HahnDepartment of Infectious Diseases and Nephrology, West German Centre of Infectious Diseases, University Hospital Essen, 45147, Essen, Germany.
Marcus JägerDepartment of Orthopedics, Trauma and Reconstructive Surgery, Katholisches Klinikum Essen Philippus, 45355, Essen, Germany.
Alexander WegnerChair of Orthopedics and Trauma Surgery, University of Duisburg-Essen, 45147, Essen, Germany.
Tobias Ludger SchulteDepartment of Orthopedics and Trauma Surgery, Katholisches Klinikum Bochum - St. Josef Hospital, Ruhr University Bochum, Bochum, Germany.
André BuschChair of Orthopedics and Trauma Surgery, University of Duisburg-Essen, 45147, Essen, Germany. busch@gelenkzentrum-bergischland.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeriprosthetic joint infection (PJI) continues to be a severe complication following total joint arthroplasty (TJA). Identifying the causative pathogens and their antibiotic resistance profiles is essential for the effective eradication. MATERIALS AND

methodsIn this retrospective study, 825 antibiograms and demographic data of patients with confirmed PJIs from 2005 to 2021 were evaluated. The resistance profile evaluation focused on the antibiotics ampicillin/sulbactam, clindamycin, gentamicin, vancomycin, ciprofloxacin and rifampicin.

resultsMethicillin-sensitive staphylococcus aureus (MSSA) was the most prevalent pathogen (20.8%) followed by methicillin-resistant staphylococcus epidermidis (MRSE, 16.1%) and methicillin-sensitive staphylococcus epidermidis (MSSE, 10.8%). Polymicrobial (PM) PJI (15.9%) was also high with MSSA (21.2%) as the most frequent pathogen followed by gram-negative (GN) pathogens (20.2%) and MRSE (18.3%). The overall resistance rate against ampicillin/sulbactam and clindamycin was 42.3% and 40%, respectively. Vancomycin showed low resistance rates of nearly 1% with higher rates in enterococci (4%). MSSA and MRSA exhibit high sensitivity rates against gentamicin (97.4% and 89.5%). Gentamicin resistance was high in staphylococcus epidermidis (43%) and particularly in MRSE (64.6%). Ciprofloxacin resistance was especially high among MRSA (81.3%) and MRSE (84.0%) isolates, whereas sensitivity was most common in GN (78.5%) and MSSE (85.0%) groups. This study reveals high rates of MRSE, SE and GN pathogens causing PJI. GN and MRSE rates were also increased in PM PJI. The high overall resistance rates against ampicillin/sulbactam raise doubts as first line empiric oral antibiotic in PJI. The nearly 20% ciprofloxacin resistant GN pathogens should be alarming due to limited choice of biofilm-penetrating antibiotics in GN PJI.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialProsthesis-Related InfectionsAgedFemaleHumansMaleMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsMiddle AgedRetrospective StudiesAnti-Bacterial AgentsAntibiotic therapyPeriprosthetic joint infectionResistance

Identifiers

PMID42632884
PMCPMC13499337

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.