Monitoring mandibular movements to detect Cheyne-Stokes Breathing.

Abstract:

BACKGROUND: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. METHODS: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. RESULTS: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. CONCLUSION:CSB in patients with sleep disordered breathing could be accurately identified by a simple magnetometer device recording mandibular movements.

journal_name

Respir Res

journal_title

Respiratory research

authors

Martinot JB,Borel JC,Le-Dong NN,Guénard HJ,Cuthbert V,Silkoff PE,Gozal D,Pepin JL

doi

10.1186/s12931-017-0551-8

subject

Has Abstract

pub_date

2017-04-20 00:00:00

pages

66

issue

1

eissn

1465-9921

issn

1465-993X

pii

10.1186/s12931-017-0551-8

journal_volume

18

pub_type

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