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Updated: Oct 4, 2025
Multiplex Therapeutic Drug Monitoring by Isotope-dilution HPLC-MS/MS of Antibiotics in Critical Illnesses
Published on: August 30, 2018
[Antibiotic treatment shorter with procalcitonin algorithm: holy grail or not so perfect after all?]
1LUMC, afd. Infectieziekten, Leiden.
Abstract:
Reducing unnecessarily long antibiotic treatments is an imperative effort in the context of antibiotic stewardship. As every infectious entity shows substantial heterogeneity in the degree of severity and extent of disease, ideally the duration of antimicrobial therapy is personalized. The heterogeneity in the presentation and course of an infection is caused by variability in exposure to the causative pathogens via variables like inoculum, virulence factors and elapsed time. Simultaneously, interacting host factors, e.g. the acquired immune system, herein play an important role. Antimicrobial treatment is intended to shift the balance of the host-pathogen interaction in favor of the host and to subsequently reach a favorable outcome (cure). In this perspective it is less likely that single biomarkers like procalcitonin can always capture both the complex host-pathogen balance as well as the resulting antimicrobial treatment duration that is needed. Hence, biomarker-driven algorithms for the duration of antimicrobial therapy sometimes may seem to be an ideal solution, but will have limitations.
Insights
Personalizing antibiotic treatment duration is crucial for antibiotic stewardship. While biomarkers like procalcitonin are useful, they may not fully capture infection complexity, limiting biomarker-driven algorithms.
Area of Science:
- Infectious Diseases
- Pharmacology
- Clinical Microbiology
Background:
- Reducing prolonged antibiotic courses is vital for antibiotic stewardship.
- Infection severity and host factors create heterogeneity in treatment needs.
- Current approaches struggle to fully capture host-pathogen dynamics.
Purpose of the Study:
- To discuss the challenges in personalizing antimicrobial therapy duration.
- To evaluate the limitations of single biomarkers in guiding treatment length.
- To explore the complexities of host-pathogen interactions in infection management.
Main Methods:
- Literature review on antibiotic stewardship and treatment duration.
- Analysis of host-pathogen interactions and biomarker utility.
- Discussion of the limitations of current biomarker-driven algorithms.
Main Results:
- Infectious entities exhibit significant heterogeneity in severity and presentation.
- Host factors, including the immune system, play a critical role in infection course.
- Single biomarkers like procalcitonin may not adequately reflect the host-pathogen balance for treatment duration.
Conclusions:
- Personalized antimicrobial therapy duration is ideal but challenging to achieve.
- Biomarker-driven algorithms for treatment duration have inherent limitations.
- A comprehensive understanding of host-pathogen dynamics is needed for optimal antibiotic use.
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