Predicting In-Hospital Antibiotic Use in the Medical Department: Derivation and Validation Study.

ABSTRACT:

Background

The rise of multi-drug-resistant pathogens and nosocomial infections among hospitalized patients is partially attributed to the increased use of antibiotic therapy. A prediction model for in-hospital antibiotic treatment could be valuable to target preventive strategies.

Methods

This was a retrospective cohort study, including patients admitted in 2018 to medical departments and not treated with antibiotics during the first 48 h. Data available at hospital admission were used to develop a logistic model to predict the probability of antibiotic treatment during hospitalization. The performance of the model was evaluated in two independent validation cohorts.

Results

In the derivation cohort, antibiotic treatment was initiated in 454 (8.1%) out of 5592 includ

SUBMITTER: Poran I 

PROVIDER: S-EPMC9219723 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature