A Possible Tool for Guiding Therapeutic Approaches to Urinary Infections with : Analyzing a Dataset from a Romanian Tertiary Hospital.

The emergence of carbapenem-resistant pathogenic bacteria is a growing global public health concern. Carbapenem-resistant uropathogenic strains of can cause uncomplicated or complicated urinary tract infections, leading to a high risk of treatment failure and the spread of resistance determinants. The objectives of this 24-month study were to identify the prognostic characteristics of patients who were infected with carbapenem-resistant () and to create a tool to estimate the probability of a infection before having the complete results of a patient's antibiogram. We found that 41.6% of all urinary infections with were caused by . Factors such as male gender, the presence of upper urinary tract infections, invasive urinary maneuvers, recent infection with or carriage of the germ, and the nosocomial occurrence of UTIs with were predictive for infection. Based on these factors, we proposed a model to estimate the presence of . A retrospective case-control study including all hospitalized patients with urinary tract infections (UTIs) caused by was carried out. We reported data as percentages, identified independent predictors of the presence of , and proposed a tool to evaluate the probability through multivariate analysis. Through this study, we aim to provide clinicians with a tool to support decision making regarding first-line antibiotic treatment.