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Prediction of severe acute exacerbation using changes in breathing pattern of COPD patients on home noninvasive ventilation

Overview of attention for article published in International Journal of Chronic Obstructive Pulmonary Disease, August 2018
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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)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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1 news outlet
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12 X users

Citations

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32 Dimensions

Readers on

mendeley
52 Mendeley
Title
Prediction of severe acute exacerbation using changes in breathing pattern of COPD patients on home noninvasive ventilation
Published in
International Journal of Chronic Obstructive Pulmonary Disease, August 2018
DOI 10.2147/copd.s170242
Pubmed ID
Authors

Sophie Blouet, Jasmine Sutter, Emeline Fresnel, Adrien Kerfourn, Antoine Cuvelier, Maxime Patout

Abstract

Acute exacerbation of COPD (AECOPD) is associated with poor outcome. Noninvasive ventilation (NIV) is recommended to treat end-stage COPD. We hypothesized that changing breathing pattern of COPD patients on NIV could identify patients with severe AECOPD prior to admission. This is a prospective monocentric study including all patients with COPD treated with long-term home NIV. Patients were divided in two groups: a stable group in which patients were admitted for the usual respiratory review and an exacerbation group in which patients were admitted for inpatient care of severe AECOPD. Data from the ventilator were downloaded and analyzed over the course of the 10 days that preceded the admission. A total of 62 patients were included: 41 (67%) in the stable group and 21 (33%) in the exacerbation group. Respiratory rate was higher in the exacerbation group than in the stable group over the 10 days preceding inclusion (18.2±0.5 vs 16.3±0.5 breaths/min, respectively) (P=0.034). For 2 consecutive days, a respiratory rate outside the interquartile limit of the respiratory rate calculated over the 4 preceding days was associated with an increased risk of severe AECOPD of 2.8 (95% CI: 1.4-5.5) (P<0.001). This assessment had the sensitivity, specificity, positive predictive, and negative predictive values of 57.1, 80.5, 60.0, and 78.6% respectively. Over the 10 days' period, a standard deviation (SD) of the daily use of NIV >1.0845 was associated with an increased risk of severe AECOPD of 4.0 (95% CI: 1.5-10.5) (P=0.001). This assessment had the sensitivity, specificity, positive predictive, and negative predictive values of 81.0, 63.4, 53.1, and 86.7%, respectively. Data from NIV can identify a change in breathing patterns that predicts severe AECOPD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 19%
Other 7 13%
Student > Bachelor 5 10%
Student > Master 5 10%
Lecturer 2 4%
Other 5 10%
Unknown 18 35%
Readers by discipline Count As %
Medicine and Dentistry 16 31%
Nursing and Health Professions 6 12%
Engineering 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Sports and Recreations 1 2%
Other 3 6%
Unknown 21 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 06 December 2020.
All research outputs
#1,919,792
of 25,385,509 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#156
of 2,578 outputs
Outputs of similar age
#38,745
of 341,886 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#7
of 69 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,578 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 93% 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 341,886 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 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.