Evidence map›Paper›PMID 35864063›Full record

ArticleEBioMedicine2022

Same-day confirmation of infection and antimicrobial susceptibility profiling using flow cytometry.

Kieran Mulroney, Margaret Kopczyk, Christine Carson, Teagan Paton, Timothy Inglis, Aron Chakera

Open access · goldAbstract read

In one paragraph

Article in EBioMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it

0cells of the map it votes in

9citing papers in PubMed

1.9field-weighted citation impact, top 15% of its field

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

9 citing papers in PubMed, 15 citations in OpenAlex.

Flow cytometry enables rapid evaluation of novel, new and niche antimicrobial agents.Frontiers in microbiology · 2026
Article
Ribosome phenotypes for rapid classification of antibiotic-susceptible and resistant strains of Escherichia coli.Communications biology · 2025
Article
Detection of antimicrobial resistance via state-of-the-art technologies versus conventional methods.Frontiers in microbiology · 2025
Review
From Genesis to Old Age: Exploring the Immune System One Cell at a Time with Flow Cytometry.Biomedicines · 2024
Review
Bridging Flocculation of a Sterically Stabilized Cationic Latex as a Biosensor for the Detection of Microbial DNA after Amplification via PCR.Biomacromolecules · 2024
Article
Deep learning and single-cell phenotyping for rapid antimicrobial susceptibility detection in Escherichia coli.Communications biology · 2023
Article
Rapid diagnostics to enhance therapy selection for the treatment of bacterial infections.Current pharmacology reports · 2023
Article
Current and Future Flow Cytometry Applications Contributing to Antimicrobial Resistance Control.Microorganisms · 2023
Review
Single-cell scattering and auto-fluorescence-based fast antibiotic susceptibility testing for gram-negative and gram-positive bacteria.Frontiers in microbiology · 2023
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

6 authors at 2 institutions in 1 country.

Kieran MulroneyHarry Perkins Institute of Medical Research, 6 Verdun Street, Nedlands, WA 6009, Australia; School of Medicine, University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia.

Margaret KopczykHarry Perkins Institute of Medical Research, 6 Verdun Street, Nedlands, WA 6009, Australia.

Christine CarsonSchool of Biomedical Science, University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia; PathWest Laboratory Medicine WA, PP Block, QEII Medical Centre, Hospital Avenue, Nedlands, WA 6009, Australia.

Teagan PatonHarry Perkins Institute of Medical Research, 6 Verdun Street, Nedlands, WA 6009, Australia; PathWest Laboratory Medicine WA, PP Block, QEII Medical Centre, Hospital Avenue, Nedlands, WA 6009, Australia.

Timothy InglisSchool of Medicine, University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia; School of Biomedical Science, University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia; PathWest Laboratory Medicine WA, PP Block, QEII Medical Centre, Hospital Avenue, Nedlands, WA 6009, Australia.

Aron ChakeraHarry Perkins Institute of Medical Research, 6 Verdun Street, Nedlands, WA 6009, Australia; School of Medicine, University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia; Department of Renal Medicine, Sir Charles Gairdner Hospital, QEII Medical Centre, Hospital Avenue, Nedlands, WA 6009, Australia. Electronic address: aron.chakera@uwa.edu.au.

The University of Western Australia · AUHarry Perkins Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe annual mortality burden of antimicrobial resistant infections exceeds 1.27 million/year. With serious infections, every hour without effective antimicrobial therapy results in a 6.7% increased risk of death. New technology that delivers actionable pathology results in clinically-relevant timeframes is an urgent priority. We present the development and validation of an acoustic-enhanced flow cytometric (AFC) workflow that provides same-day confirmation of infection and antimicrobial susceptibility, using peritoneal dialysis (PD)-associated peritonitis as a demonstrative example.

methodsIn this cohort study, we analysed peritoneal dialysis effluent specimens using AFC to confirm the presence of infection and antimicrobial susceptibility of identified organisms. The primary outcome was the performance of the assay compared to conventional microbiology performed by the clinical laboratory. A secondary outcome was time to result.

findingsAFC confirmed infection from primary specimens (n=116), with a sensitivity of 86% and specificity of 94% in ≤ one hour from arrival, including confirmation of infecting organisms in culture-negative cases. Combined with flow-cytometry-assisted antimicrobial susceptibility testing (FAST), we demonstrate same-day antimicrobial susceptibility profiles with an accuracy equivalent to conventional laboratory-based tests.

interpretationApplication of AFC based assays to confirm infection and predict antimicrobial susceptibility can deliver actionable results with a performance that meets or exceeds currently utilised microbiological tests in clinically meaningful timeframes, as demonstrated for PD peritonitis. This technology shows potential for broad applicability to other time-critical serious infections.

fundingGovernment of Western Australia (Department of Health), Government of Australia (National Health and Medical Research Council) and the Forrest Research Foundation.

Indexed as

Anti-Infective AgentsPeritoneal DialysisPeritonitisAnti-Bacterial AgentsCohort StudiesFlow CytometryHumansAnti-Bacterial AgentsAnti-Infective AgentsAntimicrobial susceptibilityFlow cytometryPDPeritoneal dialysisPeritonitisRapid diagnostics

Identifiers

PMID35864063

DOI10.1016/j.ebiom.2022.104145

PMCPMC9386725

OpenAlexW4285809408

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

Read underepoch 390

Registered trials

None linked

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.