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Dataset Information

Use of Machine Learning to Assess the Management of Uncomplicated Urinary Tract Infection.


ABSTRACT:

Importance

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

Objective

To reevaluate the effectiveness and adverse event profile for first-line antibiotics, fluoroquinolones, and oral β-lactams for treating uncomplicated UTI in contemporary clinical practice.

Design, setting, and participants

This retrospective, population-based cohort study used a claims dataset from Independence Blue Cross, which contains inpatient, outpatient, laboratory, an

SUBMITTER: Jones N 

PROVIDER: S-EPMC11786233 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature