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Orthopaedic Proceedings
Vol. 101-B, Issue SUPP_14 | Pages 27 - 27
1 Dec 2019
Triffault-Fillit C Eugenie M Karine C Becker A Evelyne B Michel T Goutelle S Fessy M Dupieux C Laurent F Lustig S Chidiac C Ferry T Valour F
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Aim

The use of piperacillin/tazobactam with vancomycin as empirical antimicrobial therapy (EAT) for prosthetic joint infection (PJI) has been associated with an increased risk of acute kidney injury (AKI), leading to propose cefepim as an alternative since 2017 in our reference center. The present study compared microbiological efficacy and tolerance of these two EAT strategies.

Method

All patients with PJI empirically treated by vancomycin-cefepim (n=90) were prospectively enrolled in an observational study, and compared with vancomycin-piperacillin/tazobactam-treated historical controls (n=117), regarding: i) the proportion efficacious empirical regimen (i.e., at least one of the two molecules active against the identified organism(s) based on in vitro susceptibility testing); and ii) the incidence of empirical therapy-related adverse events (AE), classified according to the Common terminology criteria for AE (CTCAE).


Orthopaedic Proceedings
Vol. 99-B, Issue SUPP_22 | Pages 72 - 72
1 Dec 2017
Triffault-Fillit C Valour F Michel T Goutelle S Guillo R Lustig S Fessy M Laurent F Eugenie M Chidiac C Ferry T
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Aim

Current guidelines recommend the combination of vancomycin with either piperacillin-tazobactam (PT) or a third generation cephalosporin (3GC) as empirical antimicrobial therapy of PJI, immediately after surgery. However, clinical and biological safeties of such high dose-combinations are poorly known.

Method

All patients managed in a reference center in France between 2011 and 2016 receiving an empirical antimicrobial therapy for PJI were included in a prospective cohort study. Antimicrobial-related AE upcoming during the empirical treatment phase were describe according to the Common Terminology Criteria for Adverse Events (CTCEA), and severe ones (grade ≥ 3) were reported to pharmacovigilance. AE determinants were assessed using univariate logistic regression.