Impact of pathophysiologically relevant underlying disease burden on pathogen distribution and antimicrobial resistance in patients with device-associated urinary tract infections
Abstract
OBJECTIVE: To investigate the impact of pathophysiologically relevant underlying disease burden on the distribution of pathogenic bacteria and antimicrobial resistance in patients with device-associated urinary tract infections (DA-UTIs), and to provide evidence for precise empirical therapy and infection prevention and control in high-risk populations.
METHODS: Only underlying diseases with known pathophysiological relevance to urinary tract infection (e.g., diabetes mellitus, urinary stones/obstruction, renal insufficiency, etc.) were considered. A retrospective study was conducted on 449 patients with DA-UTIs admitted to the Affiliated Hospital of Xuzhou Medical University from January 2020 to December 2024. Patients were stratified into three groups according to the number of underlying diseases: Group A (no underlying diseases), Group B (one underlying disease), and Group C (≥2 underlying diseases). Clinical manifestations and pathogenic spectrum composition were compared among the three groups, and the antimicrobial resistance characteristics of Escherichia coli and Klebsiella pneumoniae were analyzed.
RESULTS: The median age of the patients was 66 years, and most patients were admitted to the Department of Urology and Intensive Care Unit (ICU). Escherichia coli was the predominant pathogen (41.6%), and the isolation rate of Candida species showed an increasing trend with the aggravation of underlying disease burden. Antimicrobial resistance analysis revealed a…
How strong is the evidence?
Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 449 participants or records.
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