Combination therapy for carbapenem-resistant Gram-negative bacteria

Alexandre P Zavascki1, Jurgen B Bulitta, Cornelia B Landersdorfer

  • 1Infectious Diseases Service, Hospital de Clínicas de Porto Alegre, 2350 Ramiro Barcelos St, Porto Alegre, 90.035-903, Brazil.

Insights

Combination therapy is crucial for treating carbapenem-resistant Gram-negative bacteria (CR GNB) when single agents fail. Optimizing drug combinations ensures better clinical outcomes against these challenging infections.

Area of Science:

  • Infectious Diseases
  • Microbiology
  • Pharmacology

Background:

  • Emergence of carbapenem-resistant Gram-negative bacteria (CR GNB) poses a significant threat to antimicrobial therapy.
  • Polymyxins are often the last resort, but monotherapy has drawbacks, necessitating alternative strategies.
  • Pre-clinical data support antimicrobial combinations against CR GNB.

Purpose of the Study:

  • To review the clinical evidence for combination therapy against CR GNB.
  • To discuss the optimization of pharmacokinetic/pharmacodynamic (PK/PD) targets for cornerstone and adjuvant drugs.
  • To guide the clinical prescription of combination therapies based on PK/PD characteristics.

Main Methods:

  • Review of clinical evidence for major drugs used in combination schemes against CR GNB.
  • Analysis of pharmacokinetic/pharmacodynamic principles relevant to combination therapy.
  • Discussion on optimizing drug dosing and combinations for improved outcomes.

Main Results:

  • Combination therapy is a viable strategy to overcome limitations of single-agent therapy for CR GNB.
  • Polymyxins, tigecycline, and carbapenems are key components in combination regimens.
  • Achieving PK/PD targets for both cornerstone and adjuvant drugs is critical for success.

Conclusions:

  • Combination therapy offers a promising approach to manage infections caused by CR GNB.
  • Careful consideration of PK/PD properties is essential for effective drug selection and dosing.
  • Further clinical research is needed to refine optimal combination strategies.

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