Evidence map›Paper›PMID 37559032›Full record

ArticleBMC infectious diseases2023

Diagnostic accuracy of the BioFire® FilmArray® pneumonia panel in COVID-19 patients with ventilator-associated pneumonia.

Gabriel Cojuc-Konigsberg, Alberto Moscona-Nissan, Alberto Guijosa, Christian D Mireles Dávalos, María E Jiménez Martínez, Mario A Mújica Sánchez, Víctor F Hernández Huizar, Martha A Durán Barrón, Karen Villarreal Gómez, Regina Andrade-Galindo and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Optimal antibiotic use in the intensive care unit.Critical care (London, England) · 2025
    Review
  6. Review
  7. Review
  8. Observational
  9. Article
  10. Inconsistencies in the Indian Guidelines for the Prescription of Antibiotics for Critically Ill Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    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

13 authors at 3 institutions in 2 countries.

Gabriel Cojuc-KonigsbergClinical Microbiology Laboratory, National Institute of Respiratory Diseases, Mexico City, Mexico.
Alberto Moscona-NissanSchool of Medicine, Universidad Panamericana, Insurgentes Mixcoac, Donatello 59, 03920, Mexico City, Mexico.
Alberto GuijosaSchool of Medicine, Universidad Panamericana, Insurgentes Mixcoac, Donatello 59, 03920, Mexico City, Mexico.
Christian D Mireles DávalosClinical Microbiology Laboratory, National Institute of Respiratory Diseases, Mexico City, Mexico.
María E Jiménez MartínezClinical Microbiology Laboratory, National Institute of Respiratory Diseases, Mexico City, Mexico.
Mario A Mújica SánchezClinical Microbiology Laboratory, National Institute of Respiratory Diseases, Mexico City, Mexico.
Víctor F Hernández HuizarClinical Microbiology Laboratory, National Institute of Respiratory Diseases, Mexico City, Mexico.
Martha A Durán BarrónClinical Microbiology Laboratory, National Institute of Respiratory Diseases, Mexico City, Mexico.
Karen Villarreal GómezClinical Microbiology Laboratory, National Institute of Respiratory Diseases, Mexico City, Mexico.
Regina Andrade-GalindoHealth Sciences Faculty, Universidad Anahuac Mexico, Mexico City, Mexico.
Montserrat Ordóñez-OviedoSchool of Medicine, Universidad Panamericana, Insurgentes Mixcoac, Donatello 59, 03920, Mexico City, Mexico.
Grecia Deloya BritoClinical Microbiology Laboratory, National Institute of Respiratory Diseases, Mexico City, Mexico.
Eduardo Becerril VargasClinical Microbiology Laboratory, National Institute of Respiratory Diseases, Mexico City, Mexico. edobec.var@gmail.com.
National Institute of Cardiovascular Diseases · BDUniversidad Panamericana · MXUniversidad Anáhuac · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVentilator-Associated pneumonia (VAP) is one of the leading causes of morbidity and mortality in critically ill COVID-19 patients in lower-and-middle-income settings, where timely access to emergency care and accurate diagnostic testing is not widely available. Therefore, rapid microbiological diagnosis is essential to improve effective therapy delivery to affected individuals, preventing adverse outcomes and reducing antimicrobial resistance.

methodsWe conducted a cross-sectional study of patients with suspected VAP and COVID-19, evaluating the diagnostic performance of the BioFire® FilmArray® Pneumonia Panel (FA-PP). Respiratory secretion samples underwent standard microbiological culture and FA-PP assays, and the results were compared.

resultsWe included 252 samples. The traditional culture method detected 141 microorganisms, and FA-PP detected 277, resulting in a sensitivity of 95% and specificity of 60%, with a positive predictive value of 68% and negative predictive value of 93%. In samples with high levels of genetic material (> 10^5 copies/mL), the panel had a sensitivity of 94% and specificity of 86%. In addition, 40% of the culture-negative samples had positive FA-PP® results, of which 35% had > 10^5 copies/mL of genetic material. The most prevalent bacteria were Gram-negative bacilli, followed by Gram-positive cocci. The panel identified 98 genes associated with antimicrobial resistance, predominantly extended-spectrum beta-lactamases (28%).

conclusionThe FA-PP is a sensitive assay for identifying bacteria causing VAP in patients with COVID-19, with a greater capacity to detect bacteria than the conventional method. The timely microbiological recognition offered by this panel could lead to optimized decision-making processes, earlier tailored treatment initiation, and improved antibiotic stewardship practices.

Indexed as

Anti-Infective AgentsCOVID-19PneumoniaPneumonia, Ventilator-AssociatedBacteriaCOVID-19 TestingCross-Sectional StudiesHumansAnti-Infective AgentsAntimicrobial ResistanceBioFire® FilmArray® Pneumonia PanelCOVID-19Syndromic panelsVentilator-Associated Pneumonia

Identifiers

PMID37559032
PMCPMC10413519
OpenAlexW4385707363

What OpenQuestion holds

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LicenceCC BY
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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.