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Accuracy of Oximetry with Thermistor (OxiFlow) for Diagnosis of Obstructive Sleep Apnea and Hypopnea
Abstract
Objectives To evaluate the diagnostic accuracy for obstructive sleep apnea and hypopnea (OSAH) of the OxiFlow (OF) device which combines oximetry with recording of thermistor airflow. Design & setting Patients scheduled for overnight diagnostic polysomnography (PSG) were studied with OF either simultaneously during laboratory PSG (L-OF, n=86), at home on a separate night (H-OF, n=66), or both (n=55). Patients 97 patients with suspected OSAH, of whom 40 had OSAH defined as an apnea-hypopnea index (AHI) of more than 15 events per hour of sleep on PSG. Interventions NA. Measurements & results The automated respiratory disturbance index (RDI) generated by the OF software considerably underestimated the AHI by PSG for both L-OF and H-OF. Altering the parameters for hypopnea identification by the software did not improve this. Visual inspection of the computerized OF tracings added considerable diagnostic information, but a manual count of RDI during visual review overestimated AHI. For the identification of cases vs. non-cases of OSAH, receiver operating characteristic area-under-the-curve statistics ranged from 0.77-0.90 for L-OF and from 0.71-0.77 for H-OF. Combining automated analysis with subsequent visual inspection of OF tracings yielded an overall sensitivity of 86% and specificity of 74% for the diagnosis of OSAH during H-OF recordings. Analysis of potential technician time saved indicated a benefit from the use of OF. Conclusions OF has diagnostic utility for the identifi…
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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 [98]
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Kapur, V. K., Auckley, D. H., Chowdhuri, S., Kuhlmann, D. C., Mehra, R., Ramar, K., & Harrod, C. G. (2017) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.6506 · Cited by 3,253
Metadata
- Authors
- Baltzan, M. A., Verschelden, P., Al-Jahdali, H., Olha, A. E., & Kimoff, R. J.
- Affiliations
- McGill University Health Centre (CA)
- Fonds de Recherche du Québec - Santé (CA)
- Corresponding author
- Kimoff, R. John
- Venue
- Sleep
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-01
- Volume
- 23
- Issue
- 1
- Pages
- 1-9
- ISSN
- 0161-8105 (ISSN-L)
- 1550-9109
- OpenAlex
- W122663550
- Cited by
- 26
- References
- 0
- Citations by year
- 2023: 1 · 2020: 1 · 2017: 1 · 2014: 2 · 2012: 1
- FWCI
- 1.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- SLEEP (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, hypopnea, oximetry, home sleep testing, diagnostic accuracy, apnea-hypopnea index, respiratory disturbance index, automated sleep scoring, polysomnography
- MeSH terms
- Adult, Aged, Ambulatory Care, Diagnosis, Computer-Assisted, Equipment Design, Female, Humans, Male, Middle Aged, Oximetry, Predictive Value of Tests, Polysomnography, Sleep Apnea, Obstructive
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