Analysis of Antimicrobial Utilization Patterns, Safety Profiles in an Intensive Care Unit of a Teaching Hospital
Creators
- 1. Assistant Professor, Department of Pharmacology, Government Medical College, Srikakulam, Andhra Pradesh, India
- 2. Assistant Professor, Department of Pharmacology, Government Medical College, Rajamahendravaram, Andhra Pradesh, India
Description
Background: Antimicrobial resistance (AMR) poses significant challenges in healthcare settings, particularly in Intensive Care Units (ICUs) where the use of antimicrobials is prevalent. This study analyzes antimicrobial utilization patterns, safety profiles in the ICU of a teaching hospital, aiming to identify strategies for optimizing antimicrobial use and mitigating AMR. Methods: A retrospective analysis was conducted on 100 patients admitted to the ICU who received antimicrobial therapy. Data on the types of antimicrobials prescribed, indications for therapy, prescribing patterns, duration of therapy, adverse events, antimicrobial resistance associated with antimicrobial therapy were collected and analyzed. Results: Broad-spectrum antibiotics, including cephalosporins, carbapenems, and fluoroquinolones, were the most frequently prescribed antimicrobials. The main indications for antimicrobial therapy were hospital-acquired pneumonia (30%), bloodstream infections (25%), urinary tract infections (20%), and surgical site infections (15%). Empirical therapy was initiated in 70% of cases, with a de-escalation approach based on culture results in 50% of these cases. The average duration of antimicrobial therapy was 10 days. Adverse events were reported in 15% of patients, with antimicrobial resistance observed in 20% of isolated pathogens. Empirical therapy followed by de-escalation was effective in 60% of cases. Conclusion: This study highlights the critical need for antimicrobial stewardship in ICUs to optimize antimicrobial use, reduce the incidence of adverse events of antimicrobial therapy. Strategic interventions, including rapid diagnostic testing and targeted therapy, are essential to improve patient outcomes and combat AMR.
Abstract (English)
Background: Antimicrobial resistance (AMR) poses significant challenges in healthcare settings, particularly in Intensive Care Units (ICUs) where the use of antimicrobials is prevalent. This study analyzes antimicrobial utilization patterns, safety profiles in the ICU of a teaching hospital, aiming to identify strategies for optimizing antimicrobial use and mitigating AMR. Methods: A retrospective analysis was conducted on 100 patients admitted to the ICU who received antimicrobial therapy. Data on the types of antimicrobials prescribed, indications for therapy, prescribing patterns, duration of therapy, adverse events, antimicrobial resistance associated with antimicrobial therapy were collected and analyzed. Results: Broad-spectrum antibiotics, including cephalosporins, carbapenems, and fluoroquinolones, were the most frequently prescribed antimicrobials. The main indications for antimicrobial therapy were hospital-acquired pneumonia (30%), bloodstream infections (25%), urinary tract infections (20%), and surgical site infections (15%). Empirical therapy was initiated in 70% of cases, with a de-escalation approach based on culture results in 50% of these cases. The average duration of antimicrobial therapy was 10 days. Adverse events were reported in 15% of patients, with antimicrobial resistance observed in 20% of isolated pathogens. Empirical therapy followed by de-escalation was effective in 60% of cases. Conclusion: This study highlights the critical need for antimicrobial stewardship in ICUs to optimize antimicrobial use, reduce the incidence of adverse events of antimicrobial therapy. Strategic interventions, including rapid diagnostic testing and targeted therapy, are essential to improve patient outcomes and combat AMR.
Files
IJPCR,Vol16,Issue5,Article81.pdf
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Additional details
Dates
- Accepted
-
2024-05-01
Software
- Repository URL
- https://impactfactor.org/PDF/IJPCR/16/IJPCR,Vol16,Issue5,Article81.pdf
- Development Status
- Active
References
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