Antimicrobial Resistance Patterns of Urinary Escherichia coli Among Outpatients in Washington State, 2013-2017: Associations With Age and Sex.

Lauren A FrisbieScott J WeissmanHema KapoorMarisa D'AngeliAnn SalmJeff RadcliffPeter Rabinowitz

Published in: Clinical infectious diseases : an official publication of the Infectious Diseases Society of America (2021)

These findings demonstrate that age and sex are associated with variability in antibiotic resistance patterns in the outpatient setting. Availability of outpatient antibiotic resistance data based on sex and age may be useful to inform empiric prescribing for outpatient UTIs and to support antibiotic stewardship efforts.

Keyphrases

antimicrobial resistance
escherichia coli
primary care
big data
electronic health record
machine learning
staphylococcus aureus
cystic fibrosis
deep learning
artificial intelligence