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Monitoring mandibular movements to detect Cheyne-Stokes Breathing

Overview of attention for article published in Respiratory Research, April 2017
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  • Above-average Attention Score compared to outputs of the same age (56th percentile)
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6 tweeters

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2 Dimensions

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Title
Monitoring mandibular movements to detect Cheyne-Stokes Breathing
Published in
Respiratory Research, April 2017
DOI 10.1186/s12931-017-0551-8
Pubmed ID
Authors

Jean-Benoît Martinot, Jean-Christian Borel, Nhat-Nam Le-Dong, Hervé Jean-Pierre Guénard, Valerie Cuthbert, Philip E. Silkoff, David Gozal, Jean-Louis Pepin

Abstract

The patterns of mandibular movements (MM) during sleep can be used to identify increased respiratory effort periodic large-amplitude MM (LPM), and cortical arousals associated with "sharp" large-amplitude MM (SPM). We hypothesized that Cheyne Stokes breathing (CSB) may be identified by periodic abnormal MM patterns. The present study aims to evaluate prospectively the concordance between CSB detected by periodic MM and polysomnography (PSG) as gold-standard. The present study aims to evaluate prospectively the concordance between CSB detected by periodic MM and polysomnography (PSG) as gold-standard. In 573 consecutive patients attending an in-laboratory PSG for suspected sleep disordered breathing (SDB), MM signals were acquired using magnetometry and scored manually while blinded from the PSG signal. Data analysis aimed to verify the concordance between the CSB identified by PSG and the presence of LPM or SPM. The data were randomly divided into training and validation sets (985 5-min segments/set) and concordance was evaluated using 2 classification models. In PSG, 22 patients (mean age ± SD: 65.9 ± 15.0 with a sex ratio M/F of 17/5) had CSB (mean central apnea hourly indice ± SD: 17.5 ± 6.2) from a total of 573 patients with suspected SDB. When tested on independent subset, the classification of CSB based on LPM and SPM is highly accurate (Balanced-accuracy = 0.922, sensitivity = 0.922, specificity = 0.921 and error-rate = 0.078). Logistic models based odds-ratios for CSB in presence of SPM or LPM were 172.43 (95% CI: 88.23-365.04; p < 0.001) and 186.79 (95% CI: 100.48-379.93; p < 0.001), respectively. CSB in patients with sleep disordered breathing could be accurately identified by a simple magnetometer device recording mandibular movements.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Researcher 3 18%
Other 2 12%
Professor 1 6%
Student > Bachelor 1 6%
Other 3 18%
Unknown 3 18%
Readers by discipline Count As %
Medicine and Dentistry 6 35%
Nursing and Health Professions 2 12%
Neuroscience 2 12%
Psychology 1 6%
Business, Management and Accounting 1 6%
Other 1 6%
Unknown 4 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 May 2017.
All research outputs
#5,453,429
of 10,677,937 outputs
Outputs from Respiratory Research
#641
of 1,236 outputs
Outputs of similar age
#110,975
of 263,097 outputs
Outputs of similar age from Respiratory Research
#46
of 71 outputs
Altmetric has tracked 10,677,937 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 263,097 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.