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Published on: September 9, 2015
Proactive Therapeutic Drug Monitoring of Dalbavancin in the Long-Term Treatment of Chronic Infections: A Narrative
Dario Cattaneo1,2, Jessica Cusato3
1Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Italy.
Abstract:
Dalbavancin is a long-acting lipoglycopeptide antibiotic increasingly off-label used for the management of complex and chronic Gram-positive infections, including osteoarticular, prosthetic, and cardiovascular device-related infections. While its prolonged half-life enables infrequent dosing, marked inter-individual pharmacokinetic variability has been documented during extended treatment courses, potentially resulting in suboptimal exposure. This narrative review explores the role of proactive therapeutic drug monitoring (TDM) as a strategy to individualize dalbavancin dosing in patients requiring long-term therapy. We summarized current evidence on pharmacokinetic determinants of dalbavancin exposure, including renal function, body weight, and hypoalbuminemia, and discussed proposed pharmacokinetic/pharmacodynamic targets to support TDM implementation. Available analytical methods for dalbavancin quantification and clinical experiences with TDM-guided dosing are reviewed, highlighting their impact on optimizing injection timing and maintaining adequate drug concentrations over prolonged periods. In addition, emerging model-informed precision dosing approaches, such as Bayesian forecasting and machine learning-based tools, are discussed as promising strategies to further refine exposure prediction and re-dosing decisions. Overall, proactive TDM represents a valuable tool for optimizing dalbavancin therapy in chronic infections, although prospective multicenter studies are needed to validate target thresholds and standardized implementation strategies.
Insights
Therapeutic drug monitoring (TDM) can personalize dalbavancin dosing for long-term Gram-positive infections. This approach optimizes drug exposure and improves treatment outcomes in complex cases.
Area of Science:
- Pharmacology
- Infectious Diseases
- Clinical Pharmacy
Background:
- Dalbavancin, a lipoglycopeptide, is used off-label for chronic Gram-positive infections.
- Inter-individual pharmacokinetic variability necessitates dose optimization during long-term therapy.
Purpose of the Study:
- To review the role of proactive therapeutic drug monitoring (TDM) in individualizing dalbavancin dosing.
- To explore pharmacokinetic determinants and targets for TDM-guided dalbavancin therapy.
Main Methods:
- Narrative review of current evidence on dalbavancin pharmacokinetics and TDM.
- Summary of analytical methods and clinical experiences with TDM-guided dosing.
- Discussion of emerging precision dosing strategies like Bayesian forecasting and machine learning.
Main Results:
- Pharmacokinetic variability is influenced by renal function, body weight, and hypoalbuminemia.
- TDM can optimize dalbavancin injection timing and maintain adequate drug concentrations.
- Model-informed precision dosing offers future refinement for exposure prediction.
Conclusions:
- Proactive TDM is a valuable tool for optimizing dalbavancin therapy in chronic infections.
- Prospective multicenter studies are needed to validate TDM targets and implementation strategies.
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