Evidence map›Paper›PMID 31390352›Full record

ArticlePloS one2019

Evaluation of flow cytometry for the detection of bacteria in biological fluids.

Elisa Rubio, Yuliya Zboromyrska, Jordi Bosch, Mariana J Fernandez-Pittol, Berta I Fidalgo, Assumpta Fasanella, Anna Mons, Angely Román, Climent Casals-Pascual, Jordi Vila

Abstract readEvaluation Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
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  12. Automated cell count in body fluids: a review.Advances in laboratory medicine · 2021
    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

10 authors.

Elisa RubioDepartment of Microbiology, Biomedical Diagnostic Center (BDC), Hospital Clinic, University of Barcelona, Barcelona, Spain.ORCID 0000-0002-2556-8837
Yuliya ZboromyrskaConsorci del Laboratori Intercomarcal de l´Alt Penedès, l´Anoia i el Garraf, Vilafranca del Penedès, Barcelona, Spain.
Jordi BoschDepartment of Microbiology, Biomedical Diagnostic Center (BDC), Hospital Clinic, University of Barcelona, Barcelona, Spain.
Mariana J Fernandez-PittolDepartment of Microbiology, Biomedical Diagnostic Center (BDC), Hospital Clinic, University of Barcelona, Barcelona, Spain.
Berta I FidalgoDepartment of Microbiology, Biomedical Diagnostic Center (BDC), Hospital Clinic, University of Barcelona, Barcelona, Spain.
Assumpta FasanellaDepartment of Microbiology, Biomedical Diagnostic Center (BDC), Hospital Clinic, University of Barcelona, Barcelona, Spain.
Anna MonsDepartment of Microbiology, Biomedical Diagnostic Center (BDC), Hospital Clinic, University of Barcelona, Barcelona, Spain.
Angely RománDepartment of Microbiology, Biomedical Diagnostic Center (BDC), Hospital Clinic, University of Barcelona, Barcelona, Spain.
Climent Casals-PascualDepartment of Microbiology, Biomedical Diagnostic Center (BDC), Hospital Clinic, University of Barcelona, Barcelona, Spain.
Jordi VilaDepartment of Microbiology, Biomedical Diagnostic Center (BDC), Hospital Clinic, University of Barcelona, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesConventional microbiological procedures for the isolation of bacteria from biological fluids consist of culture on solid media and enrichment broth. However, these methods can delay the microbiological identification for up to 4 days. The aim of this study was to evaluate the analytical performance of Sysmex UF500i (Sysmex, Kobe, Japan) as a screening method for the detection of bacteria in different biological fluids in comparison with direct Gram staining and the conventional culture on solid media and enrichment broth.

methodsA total of 479 biological fluid samples were included in the study (180 ascitic, 131 amniotic, 56 synovial, 40 cerebrospinal, 36 pleural, 24 peritoneal, 9 bile and 3 pericardial fluids). All samples were processed by conventional culture methods and analyzed by flow cytometry. Direct Gram staining was performed in 339 samples. The amount of growth on culture was recorded for positive samples.

resultsBacterial and white blood cell count by flow cytometry was significantly higher among culture positive samples and samples with a positive direct Gram stain compared to culture negative samples. Bacterial count directly correlated with the amount of growth on culture (Kruskall-Wallis H χ2(3) = 11.577, p = 0.009). The best specificity (95%) for bacterial count to predict culture positivity was achieved applying a cut-off value of 240 bacteria/μL.

conclusionsBacterial and white blood cell counts obtained with flow cytometry correlate with culture results in biological fluids. Bacterial count can be used as a complementary method along with the direct Gram stain to promptly detect positive samples and perform other diagnostic techniques in order to accelerate the bacterial detection and identification.

Indexed as

Flow CytometryAdultAgedBacteriaBody FluidsFemaleHumansMaleMiddle AgedROC Curve

Identifiers

PMID31390352
PMCPMC6685611

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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.