Reassessing the management of uncomplicated urinary tract infection: A retrospective analysis using machine learning causal inference.

ABSTRACT:

Background

Uncomplicated urinary tract infection (UTI) is a common indication for outpatient antimicrobial therapy. National guidelines for the management of uncomplicated UTI were published by the Infectious Diseases Society of America in 2011, however it is not fully known the extent to which they align with current practices, patient diversity, and pathogen biology, all of which have evolved significantly in the time since their publication.

Objective

We aimed to re-evaluate efficacy and adverse events for first-line antibiotics (nitrofurantoin, and trimethoprim-sulfamethoxazole), versus second-line antibiotics (fluoroquinolones) and versus alternative agents (oral β-lactams) for uncomplicated UTI in contemporary clinical practice by applying machine learning algorithms t

SUBMITTER: Jones NC 

PROVIDER: S-EPMC11370515 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature