Single-channel oximetry monitor versus in-lab polysomnography oximetry analysis: does it make a difference?
Abstract
Objective : Portable oximetry has been shown to be a promising candidate for large-scale obstructive sleep apnea screening. In polysomnography (PSG), the gold standard OSA diagnosis test, the oxygen desaturation index (ODI) is usually computed from desaturation events occurring during sleep periods only, i.e. overnight desaturations occurring during or overlapping with a wake state are excluded. However, for unattended home oximetry, all desaturations are taken into account since no reference electroencephalogram is available for sleep staging. We aim to evaluate the hypothesis that the predictive power of oximetry for OSA screening is not impaired when reference sleep stages are not available. Approach : We used a PSG clinical database of 887 individuals from a representative São Paulo (Brazil) population sample. Using features derived from the oxygen saturation time series and demographic information, OxyDOSA, a published machine learning model, was trained to distinguish between non-OSA and OSA individuals using the ODI computed while including versus excluding overnight desaturations overlapping with a wake period, thus mimicking portable and PSG oximetry analyses, respectively. Main results : When excluding wake desaturations, the OxyDOSA model had an AUROC = 94.9 ± 1.6, Se = 85.9 ± 2.8, Sp = 90.1 ± 2.6 and F 1 = 86.4 ± 2.7. When considering wake desaturations, the OxyDOSA model had an AUROC = 94.4 ± 1.6, Se = 88.0 ± 2.0, Sp = 87.7 ± 2.9 and F 1 = 86.2 ± 2.4. Non-inferiority was demonstrated (p = 0.049) at a tolerance level of 3%. In addition, analysis of the desaturations excluded by PSG oximetry analysis suggests that up to 21% of the total number of desaturations might actually be related to apneas or hypopneas. Significance : This analysis of a large representative population sample provided strong evidence that the predictive power of oximetry for OSA screening using the OxyDOSA model is not impaired when reference sleep stages are not available. This finding motivates the usage of portable oximetry for OSA screening.
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The performance of this OSA model was found not to be impaired when the reference sleep stages provided by screening in clinical practice were unavailable.
“the performance of this model was found not to be impaired when the reference sleep stages provided by screening in clinical practice were unavailable”
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- Authors
- Behar, J. A., Palmius, N., Zacharie, S., Chocron, A., Penzel, T., Bittencourt, L., & Tufik, S.
- Affiliations
- Technion – Israel Institute of Technology (IL)
- University of Oxford (GB)
- Charité – Universitätsmedizin Berlin (DE)
- Universidade Federal de São Carlos (BR)
- Corresponding author
- Behar, Joachim A
- Venue
- Physiological Measurement
- Publisher
- IOP Publishing
- Published
- 2020-04-01
- Volume
- 41
- Issue
- 4
- Pages
- 044007
- ISSN
- 0967-3334 (ISSN-L)
- 1361-6579
- OpenAlex
- W3016180556
- Cited by
- 20
- References
- 21
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 1 · 2023: 4 · 2022: 6 · 2021: 3 · 2020: 2
- FWCI
- 2.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Physiological Measurement (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (306138/2017-4)
- Topics
- Health Sciences › Medicine › Physiology › Obstructive Sleep Apnea Research
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Keywords
- obstructive sleep apnea, sleep apnea screening, oxygen desaturation index, sleep stage classification, machine learning prediction models, non-inferiority, hypopnea, apnea
- MeSH terms
- Electroencephalography, Humans, Laboratories, Monitoring, Physiologic, Oximetry, Databases, Factual, Polysomnography, Sleep Apnea, Obstructive
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