Evidence map›Paper›PMID 40970753›Full record

ArticleMicrobiology spectrum2025

Rapid colorimetric antimicrobial susceptibilities direct from positive blood culture for Gram-negative bacteria.

Prakash C Khanal, Joseph C Richardson, Katherine G Richardson, Gregory L Damhorst, Owen J Oertell, Alexandra Filbrun, Eileen M Burd, Robert M Dickson

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Prakash C KhanalSchool of Chemistry & Biochemistry and Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA.
Joseph C RichardsonSchool of Chemistry & Biochemistry and Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA.
Katherine G RichardsonSchool of Chemistry & Biochemistry and Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA.
Gregory L DamhorstDivision of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0002-2237-1713
Owen J OertellSchool of Chemistry & Biochemistry and Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA.
Alexandra FilbrunSchool of Chemistry & Biochemistry and Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA.
Eileen M BurdDepartment of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0002-7055-942X
Robert M DicksonSchool of Chemistry & Biochemistry and Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID 0000-0003-0042-6194

Funding

Vasser Woolley Foundation
6 · The paper itself

Abstract

Bloodstream infections (BSIs) have become increasingly challenging to treat due to emerging antimicrobial resistance (AMR). As rapid administration of appropriate antimicrobials is crucial to positive patient outcomes, clinical alternatives to slow phenotypic antimicrobial susceptibility testing (AST) must be developed. We developed an automated real-time, colorimetric assay (ChroMIC) that phenotypically determines minimum inhibitory concentrations (MICs) directly from positive blood culture. Gram-negative bacteria within positive blood cultures from 83 patients were directly analyzed with ChroMIC. Both ChroMIC MICs and the much slower VITEK 2 MICs for each of seven antibiotics were compared to broth microdilution (BMD). Direct-from-blood-culture ChroMIC MICs were obtained without the ~18-hour growth and isolation steps needed to obtain both VITEK 2 and BMD MICs. ChroMIC assays yielded >90% categorical and essential agreement within 7 h from the start of the experiment and within 4 h of initial growth detection. ChroMIC minor, major, and very major errors were all comparable to, or in the case of VMEs, better than, those from VITEK 2 ASTs-the latter being performed only after an additional ~18-hour subculturing delay. As these patient blood samples were run in parallel with VITEK 2 MICs, a retrospective impact analysis on patient care suggests that ChroMIC could have facilitated faster therapeutic decision-making in nearly all cases, saving an average of >35 and >43 h for antimicrobial escalation and de-escalation, respectively, compared to VITEK 2. IMPORTANCE: The often sluggish pace of phenotypic antimicrobial susceptibility testing (AST), relative to sepsis progression, limits flexibility in altering patient treatment. We report a new direct-from-blood culture phenotypic AST that delivers excellent results within ~7 h of blood culture positivity. This rapid and accurate determination of optimal bloodstream infection treatment was compared in a retrospective study on patient blood cultures that flagged positive for Gram-negative pathogens. Although standard clinical methods were used to guide treatment, our testing was performed in parallel and could have enabled correction of the treatment course ~40 h earlier than was actually performed. Once clinically implementable, such innovative, low-labor, automated, and accurate susceptibility determinations hold great potential for improving patient outcomes and lowering overall healthcare costs.

Indexed as

Anti-Bacterial AgentsBlood CultureColorimetryGram-Negative BacteriaGram-Negative Bacterial InfectionsBacteremiaHumansMicrobial Sensitivity TestsAnti-Bacterial Agentsbloodstream infectionscolorimetricdiagnosticsmachine learningoptical instrumentationsusceptibility testing

Identifiers

PMID40970753
PMCPMC12584658

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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.