↓ Skip to main content

Exhaled breath metabolomics as a noninvasive diagnostic tool for acute respiratory distress syndrome.

Overview of attention for article published in European Respiratory Journal, April 2014
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
5 news outlets
twitter
6 X users
patent
2 patents

Citations

dimensions_citation
120 Dimensions

Readers on

mendeley
140 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Exhaled breath metabolomics as a noninvasive diagnostic tool for acute respiratory distress syndrome.
Published in
European Respiratory Journal, April 2014
DOI 10.1183/09031936.00005614
Pubmed ID
Authors

Lieuwe D J Bos, Hans Weda, Yuanyue Wang, Hugo H Knobel, Tamara M E Nijsen, Teunis J Vink, Aeilko H Zwinderman, Peter J Sterk, Marcus J Schultz

Abstract

There is a need for biological markers of the acute respiratory distress syndrome (ARDS). Exhaled breath contains hundreds of metabolites in the gas phase, some of which reflect (patho)physiological processes. We aimed to determine the diagnostic accuracy of metabolites in exhaled breath as biomarkers of ARDS. Breath from ventilated intensive care unit patients (n=101) was analysed using gas chromatography and mass spectrometry during the first day of admission. ARDS was defined by the Berlin definition. Training and temporal validation cohorts were used. 23 patients in the training cohort (n=53) had ARDS. Three breath metabolites, octane, acetaldehyde and 3-methylheptane, could discriminate between ARDS and controls with an area under the receiver operating characteristic curve (AUC) of 0.80. Temporal external validation (19 ARDS cases in a cohort of 48) resulted in an AUC of 0.78. Discrimination was insensitive to adjustment for severity of disease, a direct or indirect cause of ARDS, comorbidities, or ventilator settings. Combination with the lung injury prediction score increased the AUC to 0.91 and improved net reclassification by 1.17. Exhaled breath analysis showed good diagnostic accuracy for ARDS, which was externally validated. These data suggest that exhaled breath analysis could be used for the diagnostic assessment of ARDS.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 139 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 19%
Student > Ph. D. Student 22 16%
Other 13 9%
Student > Master 9 6%
Student > Doctoral Student 9 6%
Other 24 17%
Unknown 37 26%
Readers by discipline Count As %
Medicine and Dentistry 41 29%
Chemistry 12 9%
Biochemistry, Genetics and Molecular Biology 9 6%
Agricultural and Biological Sciences 5 4%
Engineering 4 3%
Other 18 13%
Unknown 51 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 16 November 2022.
All research outputs
#703,330
of 23,122,481 outputs
Outputs from European Respiratory Journal
#390
of 8,752 outputs
Outputs of similar age
#7,192
of 226,961 outputs
Outputs of similar age from European Respiratory Journal
#5
of 84 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,752 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has done particularly well, scoring higher than 95% 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 226,961 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.