Skip to main content Accessibility help
×
Home

Utilizing the electronic health record to construct antibiograms for previously healthy children with urinary tract infections

  • Yusuf Y. Chao (a1) (a2), Larry K. Kociolek (a1) (a2), Xiaotian T. Zheng (a1) (a2), Tonya Scardina (a2) and Sameer J. Patel (a1) (a2)...

Abstract

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.

Copyright

Corresponding author

Author for correspondence: Yusuf Y. Chao, MD, Ann & Robert H. Lurie Children’s Hospital of Chicago, Department of Pediatrics, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, 225 E. Chicago Avenue, Chicago, IL 60611. E-mail: yusuf.chao@phhs.org

Footnotes

Hide All

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

Footnotes

References

Hide All
1. Barlam, TF, Cosgrove, SE, Abbo, LM, et al. Implementing an antibiotic stewardship program: Guidelines by the Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America. Clin Infect Dis 2016;62:e51e77.
2. Tamma, PD, Robinson, GL, Gerber, JS, et al. Pediatric antimicrobial susceptibility trends across the United States. Infect Control Hosp Epidemiol 2013;34:12441251.
3. Feudtner, C, Feinstein, JA, Zhong, W, Hall, M, Dai, D. Pediatric complex chronic conditions classification system version 2: updated for ICD-10 and complex medical technology dependence and transplantation. BMC Pediatr 2014;14:17.
4. Hebert, C, Ridgway, J, Vekhter, B, Brown, EC, Weber, SG, Robicsek, A. Demonstration of the weighted-incidence syndromic combination antibiogram: an empiric prescribing decision aid. Infect Control Hosp Epidemiol 2012;33:381388.
5. Spiekerman, KM, Patel, SJ, Patel, R, Kociolek, LK. Availability, perceptions, and characteristics of antibiograms among Illinois pediatricians. Infect Drug Resist 2016;9:269274.
6. Dahle, KW, Korgenski, EK, Hersh, AL, Srivastava, R, Gesteland, PH. Clinical value of an ambulatory-based antibiogram for uropathogens in children. J Ped Infect Dis Soc 2012;1:333336.
7. Simpao, AF, Ahumada, LM, Larru Martinez, B, et al. Design and implementation of a visual analytics electronic antibiogram within an electronic health record system at a tertiary pediatric hospital. Appl Clin Informat 2018;9:3745.
8. Randhawa, V, Sarwar, S, Walker, S, Elligsen, M, Palmay, L, Daneman, N. Weighted-incidence syndromic combination antibiograms to guide empiric treatment of critical care infections: a retrospective cohort study. Crit Care (London) 2014;18:R112.
Type Description Title
WORD
Supplementary materials

Chao et al. supplementary material
Chao et al. supplementary material 1

 Word (24 KB)
24 KB

Utilizing the electronic health record to construct antibiograms for previously healthy children with urinary tract infections

  • Yusuf Y. Chao (a1) (a2), Larry K. Kociolek (a1) (a2), Xiaotian T. Zheng (a1) (a2), Tonya Scardina (a2) and Sameer J. Patel (a1) (a2)...

Metrics

Altmetric attention score

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed