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Cited by 328

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

MIC-based dose adjustment: facts and fables

Open access
Mouton, Johan W, Muller, Anouk E, Canton, Rafael, Giske, Christian G, Kahlmeter, Gunnar, Turnidge, John·2018·Journal of Antimicrobial Chemotherapy

Abstract

Over recent decades, several publications have described optimization procedures for antibiotic therapy in the individual patient based on antimicrobial MIC values. Most methods include therapeutic drug monitoring and use a single MIC determination plus the relevant pharmacokinetics/pharmacodynamics to adjust the dose to optimize antimicrobial drug exposure and antibacterial effects. However, the use of an MIC obtained by a single MIC determination is inappropriate. First, routine clinical laboratories cannot determine MICs with sufficient accuracy to guide dosage owing to the inherent assay variation in the MIC test. Second, the variation in any MIC determination, whatever method is used, must be accounted for. If dose adjustments are made based on therapeutic drug monitoring and include MIC determinations, MIC variation must be considered to prevent potential underdosing of patients. We present the problems and some approaches that could be used in clinical practice.

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Crossref · 10.1093/jac/dkx427

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Metadata

Authors
Mouton, J. W., Muller, A. E., Canton, R., Giske, C. G., Kahlmeter, G., & Turnidge, J.
Venue
Journal of Antimicrobial Chemotherapy
Published
2017-12-05
Volume
73
Issue
3
Pages
564-568
ISSN
  • 0305-7453 (ISSN-L)
  • 1460-2091
OpenAlex
W2771362836
Cited by
328
References
16
FWCI
16.35
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: MIC-based dose adjustment: facts and fables. https://app.cochat.ai/papers/10.1093/jac/dkx427
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Mouton, J. W., Muller, A. E., Canton, R., Giske, C. G., Kahlmeter, G., & Turnidge, J. (2018). MIC-based dose adjustment: facts and fables. Journal of Antimicrobial Chemotherapy. https://doi.org/10.1093/jac/dkx427

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.