Pediatric-specific antimicrobial susceptibility data and empiric antibiotic selection.

Date

2012-09

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Abstract

OBJECTIVE: Duke University Health System (DUHS) generates annual antibiograms combining adult and pediatric data. We hypothesized significant susceptibility differences exist for pediatric isolates and that distributing these results would alter antibiotic choices. METHODS: Susceptibility rates for Escherichia coli isolates from patients aged ≤12 years between July 2009 and September 2010 were compared with the 2009 DUHS antibiogram. Pediatric attending and resident physicians answered case-based vignettes about children aged 3 months and 12 years with urinary tract infections. Each vignette contained 3 identical scenarios with no antibiogram, the 2009 DUHS antibiogram, and a pediatric-specific antibiogram provided. Effective antibiotics exhibited >80% in vitro susceptibility. Frequency of antibiotic selection was analyzed by using descriptive statistics. RESULTS: Three hundred seventy-five pediatric isolates were identified. Pediatric isolates were more resistant to ampicillin and trimethoprim-sulfamethoxazole (TMP-SMX) and less resistant to amoxicillin-clavulanate and ciprofloxacin (P < .0005 for all). Seventy-five resident and attending physicians completed surveys. In infant vignettes, physicians selected amoxicillin-clavulanate (P < .05) and nitrofurantoin (P < .01) more often and TMP-SMX (P < .01) less often with pediatric-specific data. Effective antibiotic choices increased from 68.6% to 82.2% (P = .06) to 92.5% (P < .01) across scenarios. In adolescent vignettes, providers reduced TMP-SMX use from 66.2% to 42.6% to 19.0% (P < .01 for both). Effective antibiotic choices increased from 32.4% to 57.4% to 79.4% (P < .01 and P = .01). CONCLUSIONS: Pediatric E. coli isolates differ significantly in antimicrobial susceptibility at our institution, particularly to frequently administered oral antibiotics. Knowledge of pediatric-specific data altered empirical antibiotic choices in case vignettes. Care of pediatric patients could be improved with use of a pediatric-specific antibiogram.

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Adult, Anti-Bacterial Agents, Child, Child, Preschool, Drug Resistance, Bacterial, Escherichia coli, Escherichia coli Infections, Female, Humans, Infant, Male, Microbial Sensitivity Tests, Urinary Tract Infections

Citation

Published Version (Please cite this version)

10.1542/peds.2012-0563

Publication Info

Boggan, JC, AM Navar-Boggan and R Jhaveri (2012). Pediatric-specific antimicrobial susceptibility data and empiric antibiotic selection. Pediatrics, 130(3). pp. e615–e622. 10.1542/peds.2012-0563 Retrieved from https://hdl.handle.net/10161/14592.

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Boggan

Joel Boggan

Associate Professor of Medicine
I am a hospital medicine physician and educator working at the intersection of healthcare quality, medical education, and artificial intelligence. I serve as Executive Director for Artificial Intelligence in Medical and Health Professions Education in the Duke University School of Medicine, where I lead institutional efforts to develop and implement an integrated strategy for AI-enabled teaching, learning, assessment, and educational operations across our MD and other health professions programs.
 
I also serve in leadership roles within the Duke Internal Medicine Residency Program and the Durham VA Health Care System, having been an Associate Program Director for Quality Improvement and Patient Safety and Lead Mentor for the Chief Residency in Quality and Safety roles until transitioning to the Executive Director role, and continuing as Core Faculty for AI for the Residency Program and an Associate Investigator for the national VA Hospital Medicine Analytics Team. My scholarly work focuses on health system performance, inpatient care, and the development of future clinical leaders, as well as the responsible implementation of artificial intelligence in health education across disciplines. 

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