Evidence map›Paper›PMID 38649970›Full record

ArticleCritical care (London, England)2024

Lower airway microbiota compositions differ between influenza, COVID-19 and bacteria-related acute respiratory distress syndromes.

Sébastien Imbert, Mathilde Revers, Raphaël Enaud, Arthur Orieux, Adrian Camino, Alexandre Massri, Laurent Villeneuve, Cédric Carrié, Laurent Petit, Alexandre Boyer and 4 more

Open access · goldAbstract read
In one paragraph

Article in Critical care (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.9field-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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Sébastien ImbertHU Bordeaux, Mycology-Parasitology Department, CIC 1401, 33000, Bordeaux, France.
Mathilde ReversHU Bordeaux, Mycology-Parasitology Department, CIC 1401, 33000, Bordeaux, France.
Raphaël EnaudCentre de Recherche Cardio-Thoracique de Bordeaux, Inserm UMR 1045, Univ Bordeaux, 33000, Bordeaux, France.
Arthur OrieuxCHU Bordeaux, Medical Intensive Care Unit, 33000, Bordeaux, France.
Adrian CaminoCentre de Recherche Cardio-Thoracique de Bordeaux, Inserm UMR 1045, Univ Bordeaux, 33000, Bordeaux, France.
Alexandre MassriCH Pau, Intensive Care Unit, 64000, Pau, France.
Laurent VilleneuveCH Pau, Microbiology Laboratory, 64000, Pau, France.
Cédric Carriéd CHU Bordeaux, Surgical Intensive Care Unit, 33000, Bordeaux, France.
Laurent Petitd CHU Bordeaux, Surgical Intensive Care Unit, 33000, Bordeaux, France.
Alexandre BoyerCentre de Recherche Cardio-Thoracique de Bordeaux, Inserm UMR 1045, Univ Bordeaux, 33000, Bordeaux, France.
Patrick BergerCentre de Recherche Cardio-Thoracique de Bordeaux, Inserm UMR 1045, Univ Bordeaux, 33000, Bordeaux, France.
Didier GrusonCentre de Recherche Cardio-Thoracique de Bordeaux, Inserm UMR 1045, Univ Bordeaux, 33000, Bordeaux, France.
Laurence Delhaes *HU Bordeaux, Mycology-Parasitology Department, CIC 1401, 33000, Bordeaux, France.
Renaud Prével *Centre de Recherche Cardio-Thoracique de Bordeaux, Inserm UMR 1045, Univ Bordeaux, 33000, Bordeaux, France. renaud.prevel@hotmail.fr.ORCID http://orcid.org/0000-0003-2942-7350
Université de Bordeaux · FRCentre Hospitalier Universitaire de Bordeaux · FRCentre Hospitalier De Pau · FR

Funding

Centre Hospitalier Universitaire de Bordeaux MD/PhD program
6 · The paper itself

Abstract

backgroundAcute respiratory distress syndrome (ARDS) is responsible for 400,000 deaths annually worldwide. Few improvements have been made despite five decades of research, partially because ARDS is a highly heterogeneous syndrome including various types of aetiologies. Lower airway microbiota is involved in chronic inflammatory diseases and recent data suggest that it could also play a role in ARDS. Nevertheless, whether the lower airway microbiota composition varies between the aetiologies of ARDS remain unknown. The aim of this study is to compare lower airway microbiota composition between ARDS aetiologies, i.e. pulmonary ARDS due to influenza, SARS-CoV-2 or bacterial infection.

methodsConsecutive ARDS patients according to Berlin's classification requiring invasive ventilation with PCR-confirmed influenza or SARS-CoV-2 infections and bacterial infections (> 105 CFU/mL on endotracheal aspirate) were included. Endotracheal aspirate was collected at admission, V3-V4 and ITS2 regions amplified by PCR, deep-sequencing performed on MiSeq sequencer (Illumina®) and data analysed using DADA2 pipeline.

resultsFifty-three patients were included, 24 COVID-19, 18 influenza, and 11 bacterial CAP-related ARDS. The lower airway bacteriobiota and mycobiota compositions (β-diversity) were dissimilar between the three groups (p = 0.05 and p = 0.01, respectively). The bacterial α-diversity was significantly lower in the bacterial CAP-related ARDS group compared to the COVID-19 ARDS group (p = 0.04). In contrast, influenza-related ARDS patients had higher lung mycobiota α-diversity than the COVID-19-related ARDS (p = 0 < 01).

conclusionComposition of lower airway microbiota (both microbiota and mycobiota) differs between influenza, COVID-19 and bacterial CAP-related ARDS. Future studies investigating the role of lung microbiota in ARDS pathophysiology should take aetiology into account.

Indexed as

COVID-19Influenza, HumanMicrobiotaRespiratory Distress SyndromeAgedBacterial InfectionsFemaleHumansMaleMiddle AgedAcute respiratory distress syndromeMicrobiotaMycobiota

Identifiers

PMID38649970
PMCPMC11036773
OpenAlexW4395010882

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.