Predicting Risk of Multidrug-Resistant Enterobacterales Infections Among People With HIV.

ABSTRACT:

Background

Medically vulnerable individuals are at increased risk of acquiring multidrug-resistant Enterobacterales (MDR-E) infections. People with HIV (PWH) experience a greater burden of comorbidities and may be more susceptible to MDR-E due to HIV-specific factors.

Methods

We performed an observational study of PWH participating in an HIV clinical cohort and engaged in care at a tertiary care center in the Southeastern United States from 2000 to 2018. We evaluated demographic and clinical predictors of MDR-E by estimating prevalence ratios (PRs) and employing machine learning classification algorithms. In addition, we created a predictive model to estimate risk of MDR-E among PWH using a machine learning approach.

Results

Among 4734 study participants, MDR-E was is

SUBMITTER: Henderson HI 

PROVIDER: S-EPMC9547514 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature