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Urinary Tract Infection III: Diagnostic Studies and Interprofessional Care01:30

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A healthcare provider can diagnose a urinary tract infection (UTI) through several methods:Medical History and Symptoms: The provider will take a detailed medical history and ask about symptoms such as frequent urination, burning sensation during urination, and lower abdominal pain.Urinalysis: A clean-catch urine sample is collected in a sterile container and tested for the presence of bacteria, white blood cells (leukocytes), nitrites, blood, and protein. The presence of leukocytes and...
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Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...

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Full Validation of Pooled Antibiotic Susceptibility Testing Using CLSI Methods and Performance Criteria in UTI Pathogens.

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Pooled Antibiotic Susceptibility Testing for Polymicrobial UTI Performs Within CLSI Validation Standards.

Richard A Festa1, Frank R Cockerill2, Rick L Pesano2

  • 1Department of Research and Development, Pathnostics, Irvine, CA 92618, USA.

Antibiotics (Basel, Switzerland)
|February 26, 2025
PubMed
Summary

Pooled antibiotic susceptibility testing (P-AST) shows high agreement and low error rates compared to standard methods for diagnosing urinary tract infections (UTIs). This novel approach meets clinical standards for antimicrobial resistance testing.

Keywords:
antibiotic resistanceantibiotic susceptibility testingbroth microdilutiondisk diffusionheteroresistancepolymicrobialpooled antibiotic susceptibility testingurinary tract infection

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Area of Science:

  • Clinical microbiology
  • Diagnostic assay development
  • Antimicrobial resistance

Background:

  • Urinary tract infections (UTIs) present a growing challenge due to increasing antimicrobial resistance.
  • Novel diagnostic tests are emerging to overcome limitations of standard urine culture.
  • Validation of new tests against established antibiotic susceptibility testing (AST) methods is crucial.

Purpose of the Study:

  • To validate a novel diagnostic test, Pooled Antibiotic Susceptibility Testing (P-AST), against standard AST methods.
  • To assess the agreement and error rates of P-AST in polymicrobial UTI specimens.
  • To evaluate the impact of organism load on antibiotic sensitivity results.

Main Methods:

  • Polymicrobial urine specimens were tested using P-AST and standard broth microdilution/disk diffusion (BMD/DD) methods.
  • Performance characteristics including essential agreement (EA%), very major errors (VMEs), and major errors (MEs) were evaluated against Clinical and Laboratory Standards Institute (CLSI) guidelines.
  • Heteroresistance and the association between organism counts and antibiotic sensitivity were assessed.

Main Results:

  • P-AST demonstrated essential agreement ≥90% and met CLSI guidelines for VMEs (<2.0%) and MEs (<3.0%) compared to standard AST.
  • When accounting for heteroresistance, VMEs and MEs were both <1.5%.
  • Increasing organism counts significantly reduced the number of "sensitive" antibiotics detected per sample.

Conclusions:

  • P-AST, as part of the Guidance® UTI assay, performs within CLSI standards for AST in polymicrobial UTI diagnostic specimens.
  • The findings support the utility of P-AST for accurate UTI diagnostics.
  • The study highlights the importance of considering organism load in interpreting AST results.