Optimizing empiric therapy for Gram-negative bloodstream infections in children
Y Chao1, C Reuter2, L K Kociolek2
1Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Insights
Optimizing antibiotic therapy for Gram-negative bacilli bloodstream infections in children is crucial. Electronic health records can help create customized antibiograms to improve treatment and reduce errors.
Area of Science:
- Infectious Diseases
- Pediatric Pharmacology
- Health Informatics
Background:
- Antimicrobial stewardship presents challenges in pediatric bloodstream infections (BSIs) caused by Gram-negative bacilli (GNB).
- Effective empiric antibiotic therapy is critical for managing GNB BSIs in children.
Purpose of the Study:
- To explore the utility of electronic health record (EHR) data for optimizing empiric antibiotic therapy in pediatric GNB BSIs.
- To develop customized antibiograms for categorical GNB infections.
- To identify strategies for minimizing organism-drug mismatch and reducing time to effective therapy.
Main Methods:
- Retrospective cohort study design.
- Analysis of data elements within the electronic health record.
- Construction of customized antibiograms for GNB infections.
Main Results:
- Identified opportunities to optimize empiric antibiotic selection for GNB BSIs in children.
- Demonstrated the potential of EHR data for creating tailored antibiograms.
- Highlighted strategies to reduce organism-drug mismatch and expedite effective treatment.
Conclusions:
- Customized antibiograms derived from EHR data can enhance antimicrobial stewardship for pediatric GNB BSIs.
- Implementation of EHR-based strategies at key prescribing decision points can improve therapy.
- Findings suggest practical approaches to minimize treatment delays and optimize antibiotic use.
Abstract:
Antimicrobial stewardship can be challenging in children with bloodstream infections (BSIs) caused by Gram-negative bacilli (GNB). This retrospective cohort study explored how data elements in the electronic health record could potentially optimize empiric antibiotic therapy for BSIs caused by GNB, via the construction of customized antibiograms for categorical GNB infections and identification of opportunities to minimize organism-drug mismatch and decrease time to effective therapy. Our results suggest potential strategies that could be implemented at key decision points in prescribing at initiation, modification, and targeting of therapy.
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