Published online by Cambridge University Press: 10 October 2018
Traditional antibiograms can guide empiric antibiotic therapy, but they may miss differences in resistance across patient subpopulations. In this retrospective descriptive study, we constructed and validated antibiograms using International Classification of Disease, Tenth Revision (ICD-10) codes and other discrete data elements to define a cohort of previously healthy children with urinary tract infections. Our results demonstrate increased antibiotic susceptibility. This methodology may be modified to create other syndrome-specific antibiograms.
PREVIOUS PRESENTATION: Some findings reported in this manuscript were presented as preliminary data in an abstract/poster at the IDWeek 2017 conference on October 4, 2017, in San Diego, California. The abstract was included in Open Forum Infectious Diseases, Volume 4, on October 4, 2017.
Cite this article: Chao YY, et al. (2018). Utilizing the electronic health record to construct antibiograms for previously healthy children with urinary tract infections Infection Control & Hospital Epidemiology 2018, 39, 1473–1475. doi: 10.1017/ice.2018.246