AI Article Synopsis

  • Antibiotic resistance (AR) is a growing global health issue, requiring close monitoring of trends based on patient age and healthcare settings.
  • A retrospective study analyzed electronic health record data across 166 healthcare facilities from 2012 to 2017, focusing on antibiotic susceptibility rates among different patient care groups.
  • The findings revealed that resistance rates, particularly to ertapenem, increased significantly in pediatric patients compared to adults, emphasizing the need for tailored strategies in antimicrobial prescribing and stewardship.

Article Abstract

Background: Antibiotic resistance (AR) is a global public health threat. Surveillance of baseline AR and trends and emerging resistance among priority bacterial isolates with respect to the age of the patients and the type of healthcare setting are required due to differences in antimicrobial need and use in these populations.

Methods: We performed a retrospective study using deidentified electronic health record (EHR) data in the Cerner Health Facts™ data warehouse. Antibiotic susceptibility data were extracted for all bacterial isolates of interest at 166 non-affiliated healthcare facilities reporting microbiology susceptibility results of the FDA recommended antibiotics between the years 2012 to 2017. We assessed and visualized the slope coefficient from linear regression to compare changes in resistance over time for the four patient care groups.

Results: The trends in resistance rates to clinically relevant antibiotics were influenced by age and care setting. For example, ertapenem-resistant isolates from children overall increased significantly compared with adults (0.7% to 9.8%, 2.1% to 2.8%,  = 0.00013) and isolates from children in paediatric facilities increased significantly compared with facilities treating adults and children (0.1% to 27.1%, 0.9% to 3.8%,  = 0.0002).

Conclusions: Large-scale analysis of EHR data from 166 facilities shows that AR patterns for some bug-drug combinations vary by care setting and patient age. We describe novel data visualizations to interpret large-scale EHR data on the prevalence and trends of AR that should influence antimicrobial prescribing and antimicrobial stewardship programme interventions.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806600PMC
http://dx.doi.org/10.1093/jacamr/dlac128DOI Listing

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