Validation of a Self-Applied Unattended Monitor for Sleep Disordered Breathing
Open accessAbstract
Study objectives To evaluate the validity of the Apnea Risk Evaluation System (ARES) Unicorder, a self-applied, limited-channel portable monitoring device for the evaluation of sleep disordered breathing (SDB). Design Prospective study with blinded analysis. Setting Sleep disorder center, academic institution. Participants Eighty patients with suspected obstructive sleep apnea hypopnea syndrome (OSAHS) and 22 volunteers. Interventions N/A. Measurements and results Subjects used the ARES Unicorder at home for 2 nights using only written instructions. Within 2 weeks, they returned to the laboratory for full nocturnal polysomnography (NPSG) with simultaneous monitoring with the Unicorder. NPSGs were scored manually to obtain an apnea-hypopnea index based on Medicare guidelines (AHI4%) and a respiratory disturbance index (RDI). ARES studies were autoscored and reviewed to obtain indices based on equivalent definitions i.e., AHI4%(ARES) and apnea hypopnea (events with 1% desaturation) index (AHI1%(ARES)). Indices from the NPSG were compared to the in-lab ARES and in-home ARES indices using mean differences and the intraclass correlations (ICC). For the in-lab comparison, there was high concordance between AHI4%(NPSG) and AHI4%(ARES) (ICC = 0. 96, mean difference = 0.5/hour) and RDI(NPSG ) and AHI1%(ARES) (ICC =0.93, mean difference = 3.2/hour). For NPSG versus In-Home ARES comparison, there was good concordance between AHI4%(NPSG) and AHI4%(ARES) (ICC = 0.8, mean difference = 4.1/…
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In a high-risk population using cutoffs of AHI ≥ 5, AHI ≥ 15 and AHI ≥ 30, accuracy of 2-3 channel HSAT devices ranged from 81% to 93%, 72% to 87%, and 71% to 90%, respectively.
“In a high-risk population using cutoffs of AHI ≥ 5,95–97 AHI ≥ 15,95–99 and AHI ≥ 30,96,97 accuracy ranged from 81% to 93%, 72% to 87%, and 71% to 90%, respectively.”
From Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline (2017) · cites this paper as [95]
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- Authors
- Ayappa, I., Norman, R. G., Seelall, V., & Rapoport, D. M.
- Affiliations
- New York University (US)
- Venue
- Journal of Clinical Sleep Medicine
- Published
- 2008-02-15
- Volume
- 4
- Issue
- 1
- Pages
- 26-37
- ISSN
- 1550-9389 (ISSN-L)
- 1550-9397
- PMC
- PMC2276822
- OpenAlex
- W2139611461
- Cited by
- 125
- References
- 0
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 1 · 2023: 3 · 2022: 6 · 2021: 6 · 2020: 11 · 2019: 4 · 2018: 5 · 2017: 8 · 2016: 10 · 2015: 8 · 2014: 8 · 2013: 12 · 2012: 8
- FWCI
- 6.18
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Clinical Sleep Medicine (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Center for Research Resources (M01RR000096)
- Topics
- Health Sciences › Medicine › Physiology › 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
- sleep-disordered breathing, obstructive sleep apnea-hypopnea syndrome, home sleep apnea testing, device validation, apnea-hypopnea index, respiratory disturbance index, diagnostic accuracy, polysomnography comparison, sensitivity and specificity, likelihood ratios, sleep apnea screening
- MeSH terms
- Adult, Algorithms, Diagnosis, Computer-Assisted, Female, Home Care Services, Humans, Male, Middle Aged, Prospective Studies, Self Care, Sensitivity and Specificity, Signal Processing, Computer-Assisted, Software, Technology Assessment, Biomedical, Polysomnography, Sleep Apnea, Obstructive
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