Evidence map›Paper›PMID 39196974›Full record

ArticlePloS one2024

Evaluation of the Xpert Carba-R assay for quantifying carbapenemase-producing bacterial load in stool samples.

Jie Yin Chua, Ze Qin Lim, Song Qi Dennis Loy, Vanessa Koh, Natascha May Thevasagayam, Xiaowei Huan, Kyaw Zaw Linn, Kalisvar Marimuthu, Oon Tek Ng

Abstract read
In one paragraph

Article in PloS one, 2024. 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. Review
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

9 authors.

Jie Yin ChuaNational Centre for Infectious Diseases, Singapore, Singapore.
Ze Qin LimNational Centre for Infectious Diseases, Singapore, Singapore.
Song Qi Dennis LoyNational Centre for Infectious Diseases, Singapore, Singapore.
Vanessa KohNational Centre for Infectious Diseases, Singapore, Singapore.
Natascha May ThevasagayamNational Centre for Infectious Diseases, Singapore, Singapore.
Xiaowei HuanNational Centre for Infectious Diseases, Singapore, Singapore.
Kyaw Zaw LinnNational Centre for Infectious Diseases, Singapore, Singapore.
Kalisvar MarimuthuNational Centre for Infectious Diseases, Singapore, Singapore.
Oon Tek NgNational Centre for Infectious Diseases, Singapore, Singapore.ORCID 0000-0002-9569-2315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe spread of Carbapenemase-producing Organisms (CPO) remains a major threat globally. Within clinical settings, the existing method of determining gene load involves traditional culture to determine bacterial load and polymerase-chain-reaction-based Xpert Carba-R Assay to determine carbapenemase gene type. However, there is a need for a fast and accurate method of quantifying CPO colonisation to study the risk of persistent CPO carriage.

objectiveThis study evaluated the accuracy of Xpert Carba-R Ct value in estimating carbapenamase producing bacterial loads in stool samples.

methodsStool samples were obtained from an ongoing study investigating the household transmission of CPO in Singapore. Stool samples lacking carbapenemase producing organisms were spiked with organism carrying a single carbapenemase gene (blaKPC, blaNDM, blaVIM, blaOXA-48(-like) or blaIMP-1) and serially diluted before being subjected to Xpert Carba-R assay and traditional culture. Standard curves with regression lines showing correlation between Ct values and plate counts were generated. The standard curves were validated with stool samples collected from patients.

resultsThe limit of detection of blaNDM, blaKPC, and blaOXA-48 was approximately 103 cfu/mL, while that of blaIMP-1 and blaVIM was approximately 104 cfu/mL. Validation of the blaNDM and blaOXA-48 curves revealed average delta values of 0.56 log(cfu/mL) (95% CI 0.24-0.88) and 0.80 log(cfu/mL) (95% CI 0.53-1.07), respectively.

conclusionsOur validation data for stool positive for blaNDM and blaOXA-48-type suggests that bacterial loads can be estimated within a reasonable range of error.

Indexed as

Bacterial LoadBacterial Proteinsbeta-LactamasesFecesHumansBacterial Proteinsbeta-Lactamasescarbapenemase

Identifiers

PMID39196974
PMCPMC11356397

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