ArticlePharmaceutics2022
Implementation and Comparison of Two Pharmacometric Tools for Model-Based Therapeutic Drug Monitoring and Precision Dosing of Daptomycin.
Article in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Pharmacokinetic/Pharmacodynamic Analysis of High-Dose Daptomycin in Combination with Continuous Infusion Ceftobiprole in a Case Series of Documented Staphylococcal Bacteremia or Endocarditis: Is There Any Room for TDM-Guided Dosing Reduction?Antibiotics (Basel, Switzerland) · 2026Article
- Advancing Daptomycin Precision Dosing Through Evaluation of Published Population Pharmacokinetic Models and Development of a Dosing Tool.Drug design, development and therapy · 2026Article
- Risk factors of daptomycin overexposure: a case-control study.Antimicrobial agents and chemotherapy · 2025Article
- Use of Daptomycin to Manage Severe MRSA Infections in Humans.Antibiotics (Basel, Switzerland) · 2025Review
- Web-based automated therapeutic drug monitoring application for precision medicine in tuberculosis management.Translational and clinical pharmacology · 2025Article
- Therapeutic drug monitoring guidelines in oncology: what do we know and how to move forward? Insights from a systematic review.Therapeutic advances in medical oncology · 2024Review
- Model-Informed Precision Dosing Software Tools for Dosage Regimen Individualization: A Scoping Review.Pharmaceutics · 2023Article
- Individualized Patient Care Through Model-Informed Precision Dosing: Reflections on Training Future Practitioners.The AAPS journal · 2022Article
- Implementation and Cross-Validation of a Pharmacokinetic Model for Precision Dosing of Busulfan in Hematopoietic Stem Cell Transplanted Children.Pharmaceutics · 2022Article
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Daptomycin is a candidate for therapeutic drug monitoring (TDM). The objectives of this work were to implement and compare two pharmacometric tools for daptomycin TDM and precision dosing. A nonparametric population PK model developed from patients with bone and joint infection was implemented into the BestDose software. A published parametric model was imported into Tucuxi. We compared the performance of the two models in a validation dataset based on mean error (ME) and mean absolute percent error (MAPE) of individual predictions, estimated exposure and predicted doses necessary to achieve daptomycin efficacy and safety PK/PD targets. The BestDose model described the data very well in the learning dataset. In the validation dataset (94 patients, 264 concentrations), 21.3% of patients were underexposed (AUC
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