Evidence map›Paper›PMID 39627340›Full record

ArticleScientific reports2024

Deciphering the lung microbiota in COVID-19 patients: insights from culture analysis, FilmArray pneumonia panel, ventilation impact, and mortality trends.

Francisco José Molina, Luz Elena Botero, Juan Pablo Isaza, Luz Elena Cano, Lucelly López, Luis Valdés, Angela J Arévalo Arbeláez, Isabel Moreno, Laura S Pérez Restrepo, Jaime Usuga and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. 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

15 authors.

Francisco José MolinaFacultad de Medicina, Escuela de Ciencias de la Salud, Universidad Pontificia Bolivariana, Medellín, Colombia. Francisco.molina@upb.edu.co.
Luz Elena BoteroFacultad de Medicina, Escuela de Ciencias de la Salud, Universidad Pontificia Bolivariana, Medellín, Colombia.
Juan Pablo IsazaFacultad de Medicina, Escuela de Ciencias de la Salud, Universidad Pontificia Bolivariana, Medellín, Colombia.
Luz Elena CanoFacultad de Medicina, Escuela de Ciencias de la Salud, Universidad Pontificia Bolivariana, Medellín, Colombia.
Lucelly LópezFacultad de Medicina, Escuela de Ciencias de la Salud, Universidad Pontificia Bolivariana, Medellín, Colombia.
Luis ValdésFacultad de Medicina, Escuela de Ciencias de la Salud, Universidad Pontificia Bolivariana, Medellín, Colombia.
Angela J Arévalo ArbeláezGHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia.
Isabel MorenoGHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia.
Laura S Pérez RestrepoGHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia.
Jaime UsugaGHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia.
Karl CiuoderisGHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia.
Juan Pablo HernandezGHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia.
Rubén López-AladidCellex Laboratory, CibeRes (Centro de Investigación Biomédica en Red de Enfermedades Respiratorias), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
Laia FernándezCellex Laboratory, CibeRes (Centro de Investigación Biomédica en Red de Enfermedades Respiratorias), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
Antoni TorresCellex Laboratory, CibeRes (Centro de Investigación Biomédica en Red de Enfermedades Respiratorias), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.

Funding

Minciencias, Colombia. 121084468048
6 · The paper itself

Abstract

Few studies have analyzed the role of the lung microbiome in the diagnosis of pulmonary coinfection in ventilated ICU COVID-19 patients. We characterized the lung microbiota in COVID-19 patients with severe pneumonia on invasive mechanical ventilation using full-length 16S rRNA gene sequencing and established its relationship with coinfections, mortality, and the need for mechanical ventilation for more than 7 days. This study included 67 COVID-19 ICU patients. DNA extracted from mini-bronchoalveolar lavage fluid and endotracheal aspirates was amplified by PCR with specific 16S primers (27F and 1492R). General and relative bacterial abundance analysis was also conducted. Alpha diversity was measured by the Shannon and Simpson indices, and differences in the microbiota were established using beta diversity. A linear discriminant analysis (LDA) effect size algorithm was implemented to describe biomarkers. Streptococcus spp. represented 51% of the overall microbial abundance. There were no differences in alpha diversity between the analyzed variables. There was variation in bacterial composition between samples that had positive and negative cultures. The genera Veillonella sp., Granulicatella sp., Enterococcus sp. and Lactiplantibacillus sp., with LDA scores > 2, were biomarkers associated with negative cultures. Rothia sp., with an LDA score > 2, was a biomarker associated with mortality.

Indexed as

COVID-19LungMicrobiotaRespiration, ArtificialRNA, Ribosomal, 16SAgedBacteriaBronchoalveolar Lavage FluidCoinfectionFemaleHumansIntensive Care UnitsMaleMiddle AgedSARS-CoV-2RNA, Ribosomal, 16S

Identifiers

PMID39627340
PMCPMC11615399

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.