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Cited by 15Obstructive Sleep Apnea ResearchSleep and related disordersNon-Invasive Vital Sign Monitoring

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A comparison of polysomnography and the SleepStrip in the diagnosis of OSA

Abstract

Objective: To investigate the role of a portable screening device (SleepStrip) in the diagnosis of obstructive sleep apnea (OSA). Methods and Materials: Prospective, nonrandomized double‐blinded single cohort study at an academic health center. Patients with suspected OSA scheduled for an attended overnight Level I polysomnogram (PSG) and who consented to participate in the study wore the SleepStrip device at home the night after the PSG. The apnea‐hypopnea index (AHI) determined by PSG was compared with the results of the SleepStrip recording. Results: Thirty‐seven patients with a mean age of 52.1 ± 12.2 years and mean body mass index of 35.7 ± 5.2 participated in the study. The overall agreement between the AHI and the SleepStrip results using Cohen's Kappa value was 0.139 (P = 0.19). The sensitivity and specificity of the SleepStrip for diagnosing severe OSA when the AHI was >40 were 33.3% and 95% (P = 0.05). When the AHI was >25, the SleepStrip sensitivity and specificity were 43.8% and 81.3% (P = 0.26). The sensitivity and specificity of the SleepStrip for diagnosing OSA in patients with an AHI >15 were 54.6% and 70%, respectively (P = 0.26). Conclusion: The SleepStrip has a low correlation with the AHI as measured by PSG. Further studies are needed before this device can be recommended as a screening tool for the diagnosis of OSA. EBM rating: B‐2b

Overview

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Crossref · 10.1016/j.otohns.2005.12.036

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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Citations

Cites

Show all 1 references

Research works printed but not linked: 13

  1. 10.1056/NEJM199304293281704 · DOI · Paper page
  2. 10.1093/sleep/20.9.705 · DOI · Paper page
  3. 10.1001/jama.283.14.1829 · DOI · Paper page
  4. 10.1056/NEJM200005113421901 · DOI · Paper page
  5. 10.1172/JCI118235 · DOI · Paper page
  6. 10.1164/ajrccm.163.1.2001008 · DOI · Paper page
  7. 10.1183/09031936.02.00227302 · DOI
  8. 10.1183/09031936.02.00306502 · DOI · Paper page
  9. Lavie P, 2000, The SleepStrip: an aid for sleep apnea screening of large populations, Sleep Res, 9, 112
  10. 10.1046/j.1365-2869.2003.00349.x · DOI
  11. Masaquel A, 1997, Night‐to‐night variability in SDB in elderly African Americans recorded at home, Sleep Res, 26, 675
  12. 10.1093/sleep/25.8.8 · DOI
  13. 10.1016/j.otohns.2004.07.011 · DOI

Cited by

Metadata

Authors
Pang, K. P., Dillard, T. A., Blanchard, A. R., Gourin, C. G., Podolsky, R., & Terris, D. J.
Affiliations
Augusta University (US)
Venue
Otolaryngology–Head and Neck Surgery
Publisher
Wiley
Published
2006-08
Volume
135
Issue
2
Pages
265-268
ISSN
  • 0161-6439 (ISSN-L)
  • 0194-5998
  • 1097-6817
OpenAlex
W2046509593
Cited by
15
References
1
Citations by year
2025: 1 · 2023: 1 · 2020: 1 · 2018: 1 · 2017: 1 · 2016: 1 · 2014: 2 · 2012: 1
FWCI
0.66
Type
journal article
Language
en
Open access
closed
Locations
  • Otolaryngology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Physiology (medical) › Obstructive Sleep Apnea Research
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
Keywords
obstructive sleep apnea, home sleep monitoring, polysomnography, apnea-hypopnea index, diagnostic accuracy
MeSH terms
Adolescent, Adult, Aged, Double-Blind Method, Female, Humans, Male, Mass Screening, Middle Aged, Prospective Studies, Polysomnography, Monitoring, Ambulatory, Sleep Apnea, Obstructive

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.