Literature DB >> 28108790

[Treatment of supine position-related obstructive sleep apnea with smartphone applications].

D Haas1, R Birk2, J T Maurer2, K Hörmann2, B A Stuck3, J U Sommer2.   

Abstract

BACKGROUND: Positional obstructive sleep apnea (POSA) is common in mild and moderate forms of obstructive sleep apnea (OSA). Two smartphone applications (apps) professing to avoid the supine position (SP) are available: for Android the "Apnea Sleep Position Trainer" and for iOS the "SomnoPose-Sleep Position Monitor". The smartphone needs to be attached to the chest to recognize SP, which then triggers a vibration alarm. This is intended to encourage the patient to change position and the vibration stops as soon as SP is left. These apps, however, have not yet undergone a systematic evaluation.
METHODS: Adult patients with polysomnographically diagnosed POSA were invited to participate in the study. POSA was defined as an apnea-hypopnea index (AHI) in SP >10, with AHI in a lateral position <10 and doubling of the AHI in SP. After 1 month, a control polysomnography (PSG) was performed and compliance (at least 4 h/night on 5 of 7 days) was evaluated after 6 months by phone. A sufficient therapy was defined as reduction in SP to <10% of the total sleep time and to an overall AHI <10.
RESULTS: Although 57 patients entered the study, 24 did not appear to the PSG control; therefore, 33 patients finished the study, of whom 25 were treated successfully. The overall AHI in 33 patients was reduced from 14.5 ± 9.0 to 9.5 ± 12.6 and the time in SP decreased significantly from 71.1 ± 50.5 to 25.4 ± 65.0 min. Compliance among the 25 continuously treated patients after 6 months was 79.2%.
CONCLUSION: Both smartphone apps have the capability to prevent PS in POSA patients and can potentially offer a cost-effective option in the treatment of POSA.

Entities:  

Keywords:  Handheld computers; Intrinisic sleep disorders; Mobile applications; Sleep apnea syndromes; Therapeutics

Mesh:

Year:  2017        PMID: 28108790     DOI: 10.1007/s00106-016-0330-8

Source DB:  PubMed          Journal:  HNO        ISSN: 0017-6192            Impact factor:   1.284


  25 in total

Review 1.  Factors that influence CPAP adherence: an overview.

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Review 2.  Continuous positive airways pressure for obstructive sleep apnoea in adults.

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Review 6.  A review of current sleep screening applications for smartphones.

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Journal:  Physiol Meas       Date:  2013-06-17       Impact factor: 2.833

7.  Classifying obstructive sleep apnea using smartphones.

Authors:  Mamoun Al-Mardini; Fadi Aloul; Assim Sagahyroon; Luai Al-Husseini
Journal:  J Biomed Inform       Date:  2014-07-16       Impact factor: 6.317

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Journal:  Chest       Date:  1998-12       Impact factor: 9.410

9.  Reliability and factor analysis of the Epworth Sleepiness Scale.

Authors:  M W Johns
Journal:  Sleep       Date:  1992-08       Impact factor: 5.849

10.  Daily collection of self-reporting sleep disturbance data via a smartphone app in breast cancer patients receiving chemotherapy: a feasibility study.

Authors:  Yul Ha Min; Jong Won Lee; Yong-Wook Shin; Min-Woo Jo; Guiyun Sohn; Jae-Ho Lee; Guna Lee; Kyung Hae Jung; Joohon Sung; Beom Seok Ko; Jong-Han Yu; Hee Jeong Kim; Byung Ho Son; Sei Hyun Ahn
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  2 in total

1.  [CPAP usage problems and second-line therapy for obstructive sleep apnea].

Authors:  J U Sommer
Journal:  HNO       Date:  2018-11       Impact factor: 1.284

2.  [Sleep endoscopy and complete concentric collapse in CPAP failure].

Authors:  K Hasselbacher; K-L Bruchhage; N Abrams; A Steffen
Journal:  HNO       Date:  2018-11       Impact factor: 1.284

  2 in total

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