ArticlePharmacotherapy2025
Precision Daptomycin Dosing: Comparison of 3-, 2-, 1-, and 0-Concentration Sample Strategies.
Article in Pharmacotherapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Perioperative Management of Biologic and Targeted Synthetic DMARDs in Orthopedic Surgery: Balancing Infection Risk and Disease Control.Microorganisms · 2026Review
- Therapeutic drug monitoring of daptomycin in a critically ill patient cohort.Frontiers in medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDaptomycin is a once-daily lipopeptide antibiotic with a narrow therapeutic window. As higher doses (8-12 mg/kg) are increasingly used to treat resistant gram-positive infections, achieving therapeutic exposure while minimizing toxicity has become critical. Understanding daptomycin therapeutic drug monitoring (TDM) and what sampling strategy may be most precise and feasible are key to guiding appropriate dosing. The primary objective of this study was to ascertain the precision and bias of a mid-point sample area under the curve over 24-h (AUC
methodsAdult patients receiving daptomycin with at least three steady-state concentrations (peak, mid-point, trough) were included in this analysis. A previously published one-compartment population pharmacokinetic model was applied using Bayesian estimation (Monolix Suite 2024R1). AUC
resultsThe cohort included 210 patients (60% male) with a mean (range) age of 66 (18-91) years, body weight 78 (41-140) kg, and BMI 27 (14-51) kg/m
conclusionsA mid-interval sampling strategy offers a practical alternative to traditional TDM for daptomycin, enabling more consistent AUC estimation when full sampling is not feasible. A two-sample Bayesian approach remains the most accurate, supporting broader implementation of individualized daptomycin dosing.
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