Evidence map›Paper›PMID 34940986›Full record

ArticleLasers in surgery and medicine2022

Photoacoustic discrimination of antibiotic-resistant and sensitive Staphylococcus aureus isolates.

Robert H Edgar, Anie-Pier Samson, Justin Cook, Madeline Douglas, Ken Urish, John Kellum, John Hempel, John A Viator

Open access · greenAbstract read
In one paragraph

Article in Lasers in surgery and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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

8 authors at 3 institutions in 1 country.

Robert H EdgarDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Anie-Pier SamsonDepartment of Engineering, Duquesne University, Pittsburgh, Pennsylvania, USA.
Justin CookDepartment of Engineering, Duquesne University, Pittsburgh, Pennsylvania, USA.
Madeline DouglasDepartment of Engineering, Duquesne University, Pittsburgh, Pennsylvania, USA.
Ken UrishDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
John KellumDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
John HempelDepartment of Engineering, Duquesne University, Pittsburgh, Pennsylvania, USA.
John A ViatorDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Duquesne University · USUniversity of Pittsburgh · USUniversity of Pittsburgh Medical Center · US

Funding

Photoacoustic detection, capture, and analysis of circulating melanoma cellsR01CA182840 · NCI · DUQUESNE UNIVERSITY · PI VIATOR, JOHN A. · 2014 to 2018
$1.4M
NCI NIH HHS R01 CA182840
6 · The paper itself

Abstract

objectivesBacteremia is a serious and potentially lethal condition. Staphylococcus aureus is a leading cause of bacteremia and methicillin-resistant S. aureus (MRSA) accounts for more than a third of the cases. Compared to methicillin-sensitive S. aureus, MRSA is more than twice as likely to be fatal. Furthermore, subpopulations of seemingly isogenic bacteria may exhibit a range of susceptibilities, often called heterogenous resistance. These heterogeneous antibiotic-resistant infections are often misdiagnosed as hospital-acquired secondary infections because there are no clinically used tests that can differentiate between homogeneous and heterogeneous antibiotic resistance. We describe the development and proof of concept of rapid bacterial identification using photoacoustic flow cytometry and labeled bacteriophages with the characterization and differentiation of heterogeneous antibiotic-resistant bacterial infections.

methodsIn photoacoustic flow cytometry, pulsed laser light is delivered to a sample flowing past a focused transducer and particles that absorb laser light create an acoustic response. Optically labeled bacteriophage are added to a bacterial mixture that flows through the photoacoustic chamber. The presence of target bacteria is determined by bound labeled phage which are detected photoacoustically. Incubation of bacterial samples in the presence and absence of the antibiotic daptomycin creates a difference in bacterial cell numbers that is quantified using photoacoustic flow cytometry.

resultsFour clinical isolates were tested in the presence and absence of daptomycin. Photoacoustic events for each isolate were recorded and compared to growth curves. Samples treated with daptomycin fell into three categories: resistant, susceptible, and heterogeneous resistant.

conclusionsHere we show a method to determine the presence of bacteria as a marker for bloodstream infection level and antibiotic sensitivity in less than 4 hours. Additionally, these results show an ability to identify heterogeneous resistant strains that are often misidentified.

Indexed as

BacteremiaCross InfectionDaptomycinMethicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsAnti-Bacterial AgentsHumansMicrobial Sensitivity TestsStaphylococcus aureusAnti-Bacterial AgentsDaptomycinbacterial resistanceearly detectionlasersopticsoptoacoustics

Identifiers

PMID34940986
PMCPMC8940674
OpenAlexW4200558768

What OpenQuestion holds

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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.