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Pharmacodynamic comparison of different antimicrobial regimens against Staphylococcus aureus bloodstream infections with elevated vancomycin minimum inhibitory concentration

Authors
  • da Costa, Thaina Miranda1
  • Cuba, Gabriel Trova2
  • Morgado, Priscylla Guimarães Migueres1
  • Nicolau, David P.3
  • Nouér, Simone Aranha4
  • dos Santos, Kátia Regina Netto1
  • Kiffer, Carlos Roberto Veiga2
  • 1 Universidade Federal do Rio de Janeiro, Av. Carlos Chagas Filho, 373 - bloco I, Sala I2-010, Cidade Universitária Rio de Janeiro, Rio de Janeiro, Brazil , Rio de Janeiro (Brazil)
  • 2 Universidade Federal de São Paulo (UNIFESP), Rua Leandro Dupret, São Paulo, SP, 188, Brazil , São Paulo (Brazil)
  • 3 Center for Anti-infective Research and Development, Hartford Hospital, 80 Seymour Street, Hartford, CT, USA , Hartford (United States)
  • 4 Hospital Universitário Clementino Fraga FilhoFaculdade de Medicina, Universidade Federal do Rio de Janeiro, Rua Rodolpho Paulo Rocco, 255, Rio de Janeiro, RJ, Brazil , Rio de Janeiro (Brazil)
Type
Published Article
Journal
BMC Infectious Diseases
Publisher
Springer (Biomed Central Ltd.)
Publication Date
Jan 23, 2020
Volume
20
Issue
1
Identifiers
DOI: 10.1186/s12879-020-4782-9
Source
Springer Nature
Keywords
License
Green

Abstract

BackgroundStaphylococcus aureus is one of the major causes of bloodstream infections (BSI) worldwide, representing a major challenge for public health due to its resistance profile. Higher vancomycin minimum inhibitory concentrations (MIC) in S. aureus are associated with treatment failure and defining optimal empiric options for BSIs in settings where these isolates are prevalent is rather challenging. In silico pharmacodynamic models based on stochastic simulations (Monte Carlo) are important tools to estimate best antimicrobial regimens in different scenarios. We aimed to compare the pharmacodynamic profiles of different antimicrobials regimens for the treatment of S. aureus BSI in an environment with high vancomycin MIC.MethodsSteady-state drug area under the curve ratio to MIC (AUC/MIC) or the percent time above MIC (fT > MIC) were modeled using a 5000-patient Monte Carlo simulation to achieve pharmacodynamic exposures against 110 consecutive S. aureus isolates associated with BSI.ResultsCumulative fractions of response (CFRs) against all S. aureus isolates were 98% for ceftaroline; 79% and 92% for daptomycin 6 mg/kg q24h and for the high dose of 10 mg/kg q24h, respectively; 77% for linezolid 600 mg q12h when MIC was read according to CLSI M100-S26 instructions, and 64% when MIC was considered at the total growth inhibition; 65% and 86% for teicoplanin, three loading doses of 400 mg q12 h followed by 400 mg q24 h and for teicoplanin 400 mg q12 h, respectively; 61% and 76% for vancomycin 1000 mg q12 h and q8 h, respectively.ConclusionsBased on this model, ceftaroline and high-dose daptomycin regimens delivered best pharmacodynamic exposures against S. aureus BSIs. Teicoplanin higher dose regimen achieved the best CFR (86%) among glycopeptides, although optimal threshold was not achieved, and vancomycin performance was critically affected by the S. aureus vancomycin MIC ≥2 mg/L. Linezolid effectiveness (CFR of 73%) is also affected by high prevalence of isolates with linezolid MIC ≥2 mg/L. These data show the need to continually evaluate the pharmacodynamic profiles of antimicrobials for empiric treatment of these infections.

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