Evidence map›Paper›PMID 39174996›Full record

Observational studyAnnals of clinical microbiology and antimicrobials2024

Integrating omics techniques and culture-independent systems may improve the detection of persistent candidemia: data from an observational study.

Anna Maria Peri, Kevin O'Callaghan, Nastaran Rafiei, Haakon Bergh, Alexis Tabah, Mark D Chatfield, Patrick Na Harris, David L Paterson

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Annals of clinical microbiology and antimicrobials, 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

8 authors.

Anna Maria PeriThe University of Queensland, UQ Centre for Clinical Research, Building 71/918 Herston, Brisbane, QLD, 4029, Australia. a.peri@uq.edu.au.
Kevin O'CallaghanInfectious Diseases Unit, Redcliffe Hospital, Redcliffe, QLD, 4020, Australia.
Nastaran RafieiInfectious Diseases Unit, Caboolture Hospital, Caboolture, QLD, Queensland, 4510, Australia.
Haakon BerghCentral Microbiology, Pathology Queensland, Royal Brisbane and Women's Hospital, Brisbane, QLD, 4029, Australia.
Alexis TabahIntensive Care Unit, Redcliffe Hospital, Redcliffe, QLD, 4020, Australia.
Mark D ChatfieldThe University of Queensland, UQ Centre for Clinical Research, Building 71/918 Herston, Brisbane, QLD, 4029, Australia.
Patrick Na HarrisThe University of Queensland, UQ Centre for Clinical Research, Building 71/918 Herston, Brisbane, QLD, 4029, Australia.
David L PatersonThe University of Queensland, UQ Centre for Clinical Research, Building 71/918 Herston, Brisbane, QLD, 4029, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBlood cultures have low sensitivity for candidemia. Sensitivity can be improved by the culture-independent system T2 Magnetic Resonance (T2). SeptiCyte RAPID is a host response assay quantifying the risk of infection-related inflammation through a scoring system (SeptiScore). We investigate the performance of SeptiScore in detecting persistent candidemia as defined by conventional cultures and T2.

methodsThis is a prospective multicentre observational study on patients with candidemia. Blood cultures and blood samples for assessment by T2 and SeptiCyte were collected for 4 consecutive days after the index culture. The performance of SeptiScore was explored to predict persistent candidemia as defined by (1) positive follow-up blood culture (2) either positive follow-up blood culture or T2 sample.

results10 patients were enrolled including 34 blood collections assessed with the 3 methods. Overall, 4/34 (12%) follow-up blood cultures and 6/34 (18%) T2 samples were positive. A mixed model showed significantly higher SeptiScores associated with persistent candidemia when this was defined as either a positive follow-up blood culture or T2 sample (0.82, 95%CI 0.06 to 1.58) but not when this was defined as a positive follow-up blood culture only (-0.57, 95%CI -1.28 to 0.14). ROC curve for detection of persistent candidemia by SeptiScore at day 1 follow-up showed an AUC of 0.85 (95%CI 0.52-1.00) when candidemia was defined by positive follow-up blood culture, and an AUC of 1.00 (95%CI 1.00-1.00) when candidemia was defined according to both methods.

conclusionIntegrating transcriptome profiling with culture-independent systems and conventional cultures may increase our ability to diagnose persistent candidemia.

Indexed as

Blood CultureCandidemiaAgedAged, 80 and overCandidaFemaleHumansMaleMiddle AgedProspective StudiesROC CurveSensitivity and SpecificityBlood cultureCandidemiaHost-responseOmicsRapid diagnostic testsT2 magnetic resonance

Identifiers

PMID39174996
PMCPMC11342639

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LicenceCC BY-NC-ND
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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.