Evidence map›Paper›PMID 40001387›Full record

ArticleAntibiotics (Basel, Switzerland)2025

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

Richard A Festa, Frank R Cockerill, Rick L Pesano, Emery Haley, Natalie Luke, Mohit Mathur, Xiaofei Chen, Jim Havrilla, Michael Percaccio, Jesus Magallon and 4 more

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Richard A FestaDepartment of Research and Development, Pathnostics, Irvine, CA 92618, USA.
Frank R CockerillPartner, Trusted Health Advisors, Orange, CA 92675, USA.
Rick L PesanoPartner, Trusted Health Advisors, Orange, CA 92675, USA.
Emery HaleyDepartment of Clinical Research, Pathnostics, Irvine, CA 92618, USA.ORCID 0000-0002-4497-7601
Natalie LukeDepartment of Clinical Research, Pathnostics, Irvine, CA 92618, USA.ORCID 0000-0003-0732-3622
Mohit MathurDepartment of Medical Affairs, Pathnostics, Irvine, CA 92618, USA.
Xiaofei ChenDepartment of Data and AI, Pathnostics, Irvine, CA 92618, USA.
Jim HavrillaDepartment of Data and AI, Pathnostics, Irvine, CA 92618, USA.ORCID 0000-0002-8388-1362
Michael PercaccioDepartment of Research and Development, Pathnostics, Irvine, CA 92618, USA.
Jesus MagallonDepartment of Research and Development, Pathnostics, Irvine, CA 92618, USA.
Shane EricksonDepartment of Research and Development, Pathnostics, Irvine, CA 92618, USA.
Mandana GhashghaieDepartment of Research and Development, Pathnostics, Irvine, CA 92618, USA.
Alain RosasDepartment of Research and Development, Pathnostics, Irvine, CA 92618, USA.
David BaunochDepartment of Research and Development, Pathnostics, Irvine, CA 92618, USA.ORCID 0009-0001-1906-9919

Funding

Pathnostics 2
6 · The paper itself

Abstract

BACKGROUND/

objectivesUrinary tract infections (UTIs) pose an increasing risk of antimicrobial resistance, and novel diagnostic tests have been developed to address the limitations of standard urine culture in these cases. It is important that these novel tests be validated for agreement and error rates against the standard antibiotic susceptibility testing (AST) methods.

methodsPolymicrobial (≥two non-fastidious microorganisms) consecutive clinical urine specimens submitted for UTI diagnostic testing were included in this analysis. Specimens were tested with Pooled Antibiotic Susceptibility Testing (P-AST) and with broth microdilution/disk diffusion (BMD/DD) in parallel. Performance characteristics, such as essential agreement (EA%), very major errors (VMEs), and major errors (MEs), were assessed using Clinical and Laboratory Standards Institute (CLSI) standards. Specimens with P-AST-resistant and BMD/DD consensus-sensitive results were assessed for heteroresistance. Real-world clinical sample data were used to assess associations between increasing organism counts and average "sensitive" antibiotic count per sample.

resultsThe essential agreement between P-AST and standard isolate AST was ≥90%, VMEs were <2.0%, and MEs were <3.0%, meeting the CLSI guidelines for AST verification and validation studies. When heteroresistance was accounted for, overall VMEs and MEs were both <1.5%. The presence of additional non-fastidious organisms dropped the number of average "sensitive" antibiotics from 9.8 with one organism to 2.5 with five or more organisms. The presence of fastidious organisms did not have any meaningful impact.

conclusionsP-AST, a component of the Guidance

Indexed as

antibiotic resistanceantibiotic susceptibility testingbroth microdilutiondisk diffusionheteroresistancepolymicrobialpooled antibiotic susceptibility testingurinary tract infection

Identifiers

PMID40001387
PMCPMC11852178

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.