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      21 The Microbial Antibiogram as a Function of Testing Indication: Susceptibility Analysis of Escherichia coli from Symptomatic and Asymptomatic Bacteriuria Patients, 2020-2021

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      1 , 1 , 1 , 1 , 1 , 1 , 2
      Journal of Clinical and Translational Science
      Cambridge University Press

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          Abstract

          OBJECTIVES/GOALS: Antibiograms are used to guide empiric antibiotic selection. However, it is unclear if antibiotic profiles differ between symptomatic urinary tract infections (UTIs) and asymptomatic bacteriuria (ASB). We aimed to compare antibiotic susceptibility profiles of urinary E. coli isolates from patients with a symptomatic UTI to those with ASB. METHODS/STUDY POPULATION: We conducted a cohort study of 1,140 urinary E. coli isolates from unique patients that received care through Vanderbilt University Medical Center (VUMC) from Nov 2020 – Jun 2021. We included any patient that was seen at VUMC as an inpatient, outpatient or at the emergency department with ≥ 10 5 colony forming units/mL E. coli detected from a clinical urine specimen. Chart abstractions were performed to capture reported UTI symptoms and demographic information. Descriptive statistics were conducted to compare antibiotic susceptibility profiles (i.e., susceptible, intermediate, resistant) between symptomatic and ASB groups. The risk of detection of a multidrug-resistant organism (MDRO) (intermediate, or resistant to at least one antibiotic in three or more classes) was assessed between groups. RESULTS/ANTICIPATED RESULTS: Among 1,140, 1,018 (89%) and 122 (11%) were symptomatic and ASB, respectively. When comparing symptomatic and ASB, the median ages were 50 and 46. Groups had similar proportions of no indwelling catheter (94% v. 95%) and without diabetes (87% v. 88%). The collection setting between inpatient, emergency department, and outpatient were similar with most being outpatient (79% v. 83%). The proportion of patients who were pregnant, immuno compromised, or had a structural/functional urinary tract abnormality were higher in the symptomatic group. The proportion of isolates resistant and susceptible to tested antibiotics were similar between groups, with only ciprofloxacin showing slightly higher resistance among ASB (16% v. 25%). The risk of MDRO detection was similar between groups (RR: 0.858, 95% CI: 0.64, 1.15). DISCUSSION/SIGNIFICANCE: Antibiotic susceptibility comparison demonstrated similar profiles, which suggests antibiogram use as appropriate to guide ASB treatment. Results offer insight on whether traditional methods for assessing antibiotic susceptibility on population-levels could benefit from further refinement by patient-specific clinical parameters.

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          Author and article information

          Journal
          J Clin Transl Sci
          J Clin Transl Sci
          CTS
          Journal of Clinical and Translational Science
          Cambridge University Press (Cambridge, UK )
          2059-8661
          April 2024
          03 April 2024
          : 8
          : Suppl 1
          : 6
          Affiliations
          [1 ]Vanderbilt University Medical Center, Department of Pathology, Microbiology, and Immunology; Nashville, Tennessee 37232 USA
          [2 ]Department of Urology, Vanderbilt Institute for Infection, Immunology, and Inflammation; Nashville, Tennessee 37232 USA
          Article
          S2059866124000402
          10.1017/cts.2024.40
          11023832
          e1331bc8-e8fe-4a02-9a4a-cfb33035e747
          © The Association for Clinical and Translational Science 2024

          This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence ( https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.

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          Page count
          Pages: 1
          Categories
          Biostatistics, Epidemiology, and Research Design

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