Optimizing antibiotic therapies to reduce the risk of bacterial resistance

Area of Science:

• Infectious Diseases
• Microbiology
• Pharmacology

Background:

• Rising incidence of antibiotic-resistant bacterial infections poses a significant global health threat.
• Antimicrobial resistance (AMR) contributes to substantial mortality, with an estimated 33,000 deaths annually in Europe alone.
• Inappropriate antibiotic prescribing in human medicine is a key driver of AMR, with up to 50% of prescriptions potentially unnecessary.

Purpose of the Study:

• To outline strategies for optimizing antibiotic use in clinical practice.
• To reduce the risk of inducing further bacterial resistance.
• To improve antibiotic stewardship programs and prescribing environments.

Main Methods:

• Implementation of rapid microbiological diagnostics for pathogen identification and antimicrobial susceptibility testing (AST).
• Utilizing inflammation markers to guide the initiation and duration of antibiotic therapies.
• Reducing standard antibiotic course durations and individualizing therapy based on pharmacokinetic/pharmacodynamic (PK/PD) targets.
• Avoiding antibiotic classes with a higher risk of inducing resistance.

Main Results:

• Studies indicate that at least 50% of antibiotic treatments may be inadequate.
• Inappropriate prescribing remains frequent, highlighting the need for intervention.
• Optimized strategies aim to improve treatment efficacy and reduce resistance development.

Conclusions:

• Effective strategies include rapid diagnostics, biomarker-guided therapy, and tailored dosing.
• Reducing unnecessary antibiotic use and avoiding high-risk agents are essential.
• Enhancing clinical reasoning and improving the prescribing environment are key to successful antibiotic stewardship.