The effectiveness of antibacterial treatment depends on the achievement of the target concentration or exposure that is related to the success. However, the variability in pharmacokinetics in antibiotics between patients complicates the appropriate dosing, warranting therapeutic drug monitoring of antibiotics. Model-informed precision dosing of antibiotics is increasingly used to leverage patient information, therapeutic drug monitoring results, and developed population pharmacokinetic models to maximize the success rate of treatment with antibiotics. According to meta-analysis, it significantly improves the target attainment rate and decreases the time needed to achieve the target and the risk of adverse effects.
Despite the success of model-informed precision dosing, in a considerable proportion of patients, even up to two-thirds, the target required for successful treatment is still not attained. Some approaches have been proposed to improve model-informed precision dosing, e.g., the selection of the population pharmacokinetic model used in a patient rather than the implementation of one single model that best fits the population, model averaging, continuous learning where the model used is updated when more data becomes available. However, the potential of the currently proposed methods and other approaches still needs to be investigated.
This Research Topic aims to highlight emerging approaches to improve model-informed precision dosing. Papers accepted in this Research Topic include but are not limited to those describing computational methods to choose and implement models and prospective validation of such methods as well as aspects beyond models, e.g., biosensing of antibiotics, that could improve model-informed precision dosing. The accepted manuscripts can be original research papers and reviews, but other article types may also be considered.
Keywords:
Population pharmacokinetic model, Antibiotics, Model-informed precision dosing, Biosensing, Prospective validation
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
The effectiveness of antibacterial treatment depends on the achievement of the target concentration or exposure that is related to the success. However, the variability in pharmacokinetics in antibiotics between patients complicates the appropriate dosing, warranting therapeutic drug monitoring of antibiotics. Model-informed precision dosing of antibiotics is increasingly used to leverage patient information, therapeutic drug monitoring results, and developed population pharmacokinetic models to maximize the success rate of treatment with antibiotics. According to meta-analysis, it significantly improves the target attainment rate and decreases the time needed to achieve the target and the risk of adverse effects.
Despite the success of model-informed precision dosing, in a considerable proportion of patients, even up to two-thirds, the target required for successful treatment is still not attained. Some approaches have been proposed to improve model-informed precision dosing, e.g., the selection of the population pharmacokinetic model used in a patient rather than the implementation of one single model that best fits the population, model averaging, continuous learning where the model used is updated when more data becomes available. However, the potential of the currently proposed methods and other approaches still needs to be investigated.
This Research Topic aims to highlight emerging approaches to improve model-informed precision dosing. Papers accepted in this Research Topic include but are not limited to those describing computational methods to choose and implement models and prospective validation of such methods as well as aspects beyond models, e.g., biosensing of antibiotics, that could improve model-informed precision dosing. The accepted manuscripts can be original research papers and reviews, but other article types may also be considered.
Keywords:
Population pharmacokinetic model, Antibiotics, Model-informed precision dosing, Biosensing, Prospective validation
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.