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Changes in upper airways microbiota in ventilator-associated pneumonia

Overview of attention for article published in Intensive Care Medicine Experimental, March 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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Title
Changes in upper airways microbiota in ventilator-associated pneumonia
Published in
Intensive Care Medicine Experimental, March 2023
DOI 10.1186/s40635-023-00496-5
Pubmed ID
Authors

Laura Alagna, Leonardo Mancabelli, Federico Magni, Liliane Chatenoud, Gabriele Bassi, Silvia Del Bianco, Roberto Fumagalli, Francesca Turroni, Davide Mangioni, Guglielmo M. Migliorino, Christian Milani, Antonio Muscatello, Giovanni Nattino, Edoardo Picetti, Riccardo Pinciroli, Sandra Rossi, Tommaso Tonetti, Alessia Vargiolu, Alessandra Bandera, Marco Ventura, Giuseppe Citerio, Andrea Gori

Abstract

The role of upper airways microbiota and its association with ventilator-associated pneumonia (VAP) development in mechanically ventilated (MV) patients is unclear. Taking advantage of data collected in a prospective study aimed to assess the composition and over-time variation of upper airway microbiota in patients MV for non-pulmonary reasons, we describe upper airway microbiota characteristics among VAP and NO-VAP patients. Exploratory analysis of data collected in a prospective observational study on patients intubated for non-pulmonary conditions. Microbiota analysis (trough 16S-rRNA gene profiling) was performed on endotracheal aspirates (at intubation, T0, and after 72 h, T3) of patients with VAP (cases cohort) and a subgroup of NO-VAP patients (control cohort, matched according to total intubation time). Samples from 13 VAP patients and 22 NO-VAP matched controls were analyzed. At intubation (T0), patients with VAP revealed a significantly lower microbial complexity of the microbiota of the upper airways compared to NO-VAP controls (alpha diversity index of 84 ± 37 and 160 ± 102, in VAP and NO_VAP group, respectively, p-value < 0.012). Furthermore, an overall decrease in microbial diversity was observed in both groups at T3 as compared to T0. At T3, a loss of some genera (Prevotella 7, Fusobacterium, Neisseria, Escherichia-Shigella and Haemophilus) was found in VAP patients. In contrast, eight genera belonging to the Bacteroidetes, Firmicutes and Fusobacteria phyla was predominant in this group. However, it is unclear whether VAP caused dysbiosis or dysbiosis caused VAP. In a small sample size of intubated patients, microbial diversity at intubation was less in patients with VAP compared to patients without VAP.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Bachelor 1 14%
Student > Postgraduate 1 14%
Unknown 3 43%
Readers by discipline Count As %
Medicine and Dentistry 2 29%
Engineering 1 14%
Unknown 4 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 May 2023.
All research outputs
#2,506,073
of 25,843,331 outputs
Outputs from Intensive Care Medicine Experimental
#70
of 553 outputs
Outputs of similar age
#49,557
of 425,482 outputs
Outputs of similar age from Intensive Care Medicine Experimental
#5
of 15 outputs
Altmetric has tracked 25,843,331 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 553 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 425,482 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.