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Cited by 420

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A suggested approach to once‐daily aminoglycoside dosing.

Open access
Begg, EJ, Barclay, ML, Duffull, SB·1995·British Journal of Clinical Pharmacology

Abstract

1. Once‐daily aminoglycoside dosing has many advantages and has been widely advocated. However, existing guidelines for methods of administration and monitoring are non‐specific and may lead to excessive dosing. 2. The traditional approach of aiming for target peak and trough concentrations is not appropriate for once‐daily dosing. 3. A method is proposed which uses a target area under the concentration‐ time curve (AUC) for the aminoglycoside based on the 24 h AUC that would result with conventional dosing. This method requires measurement of two drug concentrations, one approximately 0.5 h after the end of the infusion and another at a later time (6‐22 h) depending on renal function. 4. A simpler, graphical method is also proposed for patients with normal renal function, which requires the measurement of a single concentration at a time between 6 and 14 h. 5. Both methods are likely to be safer than existing guidelines.

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Crossref · 10.1111/j.1365-2125.1995.tb05719.x

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Metadata

Authors
Begg, E., Barclay, M., & Duffull, S.
Venue
British Journal of Clinical Pharmacology
Publisher
Wiley
Published
1995-06
Volume
39
Issue
6
Pages
605-609
ISSN
  • 0306-5251 (ISSN-L)
  • 1365-2125
OpenAlex
W2071277317
Cited by
420
References
0
FWCI
11.23
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A suggested approach to once‐daily aminoglycoside dosing. https://app.cochat.ai/papers/10.1111/j.1365-2125.1995.tb05719.x
The paper
Begg, E., Barclay, M., & Duffull, S. (1995). A suggested approach to once‐daily aminoglycoside dosing. British Journal of Clinical Pharmacology. https://doi.org/10.1111/j.1365-2125.1995.tb05719.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.