Abstract
The past decades have witnessed an rise in the number of multidrug resistant bacteria, concurrent drug failures, and declining cure rates of several fatal bacterial infectious diseases. This has culminated in evaluation of existing drug regimens. An extensive evaluation of pharmacodynamics and pharmacokinetics of drugs and its application for drug regimen selection has become the cornerstone for successful antibiotic therapy against fatal bacterial infections. Recent years have witnessed an upsurge in the development of diverse models for preclinical and clinical pharmacokinetic-pharmacodynamic (PK-PD) analysis and robust simulation methods. Integration of infection microbiology knowledge and PK-PD analysis in an appropriate model can lead to optimal drug regimens against several acute/chronic bacterial infections. The present chapter provides a comprehensive overview of different models citing their advantages and limitations, along with simulations for optimizing treatment regimens. Furthermore, it describes the applications of pharmacodynamic models for treatment of bacterial infections and, finally, the pathophysiological conditions leading to treatment failures and strategies to overcome them.
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Bhuyan, S., Felgner, S., Kocijancic, D., Pawar, V. (2018). Pharmacodynamic Evaluation: Infectious Diseases. In: Hock, F., Gralinski, M. (eds) Drug Discovery and Evaluation: Methods in Clinical Pharmacology. Springer, Cham. https://doi.org/10.1007/978-3-319-56637-5_53-1
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DOI: https://doi.org/10.1007/978-3-319-56637-5_53-1
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