Related Experiment Video
Updated: Sep 12, 2025

Multiplex Therapeutic Drug Monitoring by Isotope-dilution HPLC-MS/MS of Antibiotics in Critical Illnesses
Published on: August 30, 2018
Precision Daptomycin Dosing: Comparison of 3-, 2-, 1-, and 0-Concentration Sample Strategies
Simone Giuliano1, Manjunath P Pai2, Jacopo Angelini3,4
1Infectious Diseases Clinic, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy.
A mid-point sampling strategy provides a practical way to estimate daptomycin exposure, improving dosing accuracy for resistant infections. A two-sample Bayesian approach offers the most precise results for therapeutic drug monitoring.
Area of Science:
- Pharmacokinetics and Pharmacodynamics
- Infectious Diseases
- Clinical Pharmacy
Background:
- Daptomycin, a lipopeptide antibiotic, has a narrow therapeutic window, necessitating precise dosing.
- Increasing use of higher daptomycin doses (8-12 mg/kg) for resistant gram-positive infections heightens the need for effective therapeutic drug monitoring (TDM).
- Optimizing daptomycin TDM strategies is crucial for balancing therapeutic efficacy and minimizing toxicity.
Purpose of the Study:
- To evaluate the precision and bias of estimating daptomycin's 24-hour area under the curve (AUC24) using a mid-point sample.
- To compare the mid-point sampling strategy against traditional peak and trough samples for AUC24 determination.
- To assess both simple calculation and Bayesian modeling methods for AUC24 estimation versus no TDM.
Main Methods:
- Analysis included adult patients with at least three steady-state daptomycin concentrations (peak, mid-point, trough).
- A one-compartment population pharmacokinetic model was employed using Bayesian estimation (Monolix Suite 2024R1).
- AUC24 was estimated using all concentrations (AUCref), and re-estimated with individual or paired samples (peak + trough); performance was assessed via regression analysis (R² and mean bias).
Main Results:
- Of 210 patients, only 45.7% achieved the target AUC24 range (666-939 mg·h/L) with a mean AUC24 of 869 mg·h/L.
- A single mid-point sample showed similar correlation to AUC24 (R²=0.57) as trough-only (R²=0.55), outperforming peak-only (R²=0.44).
- Bayesian estimation using peak and trough samples yielded the highest accuracy (R²=0.87) and lowest bias.
Conclusions:
- A mid-interval sampling strategy for daptomycin offers a practical alternative for AUC estimation when full sampling is unfeasible.
- The two-sample Bayesian approach demonstrates superior accuracy, supporting its broader implementation for individualized daptomycin dosing.
- Optimized TDM strategies are vital for maximizing daptomycin's effectiveness in treating challenging gram-positive infections.
More Related Videos
12:03Antimicrobial Synergy Testing by the Inkjet Printer-assisted Automated Checkerboard Array and the Manual Time-kill Method
Published on: April 18, 2019
04:59Author Spotlight: Developing a Disposable Dosator for Preclinical Testing of Dry Powder Inhalers in Small Animal Models
Published on: August 18, 2023
Related Concept Videos
Drug Concentrations: Measurements
Plasma...
Dosage Regimen: Fixed Dose
Fixed-dose regimens can be used for various routes of administration, including intravenous (IV) injections and oral medications. For IV administration, a predetermined amount of the drug is...
Rational Dosage Regimen: Maintenance Dose and Loading Dose
In most cases, drugs are administered repetitively or infused continuously to maintain a steady-state concentration in the body. At a steady...