Comparison of Polysomnographic and Portable Home Monitoring Assessments of Obstructive Sleep Apnea in Saskatchewan Women
Open accessAbstract
OBJECTIVES: To compare a commercially available, level III in‐home diagnostic sleep test (Embletta, Embletta USA) and in‐laboratory polysomnography (PSG) in women with suspected obstructive sleep apnea (OSA). METHODS: Consecutive women scheduled for routine PSG testing for evaluation of clinically suspected OSA and who met inclusion/exclusion criteria, were invited to participate. An in‐home Embletta portable monitor test was performed one week before or after diagnostic PSG. RESULTS: Forty‐seven of 96 women who met the inclusion/exclusion criteria agreed to participate. The mean (± SD) age of the patients was 52.0±11.0 years, with a mean body mass index of 34.86±9.04 kg/m 2 , and 66% (31 of 47) of patients were at high risk for OSA according to the Berlin score. Paired analysis of the overall population revealed no significant difference in mean apnea/hypopnea index (AHI) between the two diagnostic methods (P=0.475). At an AHI of ≥5, the Embletta test was highly sensitive (90.6%) in determining abnormal versus normal OSA, with a positive predictive value of 82.7%. However, a higher Embletta AHI threshold of ≥10 may be more useful, with a higher level of agreement (kappa coefficient) with PSG testing and a positive predictive value of 92.3%. The in‐home study was less useful at distinguishing severe from nonsevere OSA, yielding a sensitivity of 50%. CONCLUSIONS: In women believed to be at high‐risk for OSA, Embletta in‐home sleep testing is useful for the detection of sleep disordered breathing.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
When using an AHI ≥ 5 cutoff, accuracy of Type 3 HSAT devices in a high-risk population (assuming a prevalence of 87%) ranged from 84% to 91%, whereas in a low-risk population (assuming a prevalence of 55%) accuracy ranged from 70% to 78%.
“When using an AHI ≥ 5 cutoff, accuracy in a high-risk population (assuming a prevalence of 87%) ranged from 84% to 91%, whereas in a low-risk population (assuming a prevalence of 55%) accuracy ranged from 70% to 78% based on the seven studies”
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 [87]
The Discussion and Table 2 evaluate a level III home monitor at an AHI cutoff of 5, so the test type and cutoff are supported. The paper reports results from 47 women, not accuracy ranges across seven studies or calculations assuming 87% and 55% prevalence; those figures are not supported by this source. Page numbers are not specified in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measuredUsing a cutoff of AHI ≥ 15, the accuracy of Type 3 HSAT devices in a high-risk population ranged from 65% to 91%, based on six studies.
“Using a cutoff of AHI ≥ 15, the accuracy of these devices in a high-risk population ranged from 65% to 91%, based on six studies”
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 [87]
The Discussion (page not provided) evaluates an in-home Embletta test at an AHI cutoff of 15 in women considered at high clinical risk of OSA. It reports sensitivity of 0.63 and specificity of 0.93, not an accuracy range of 65%–91% based on six studies. The Results (page not provided) report an accuracy of 80.9% for a different threshold, AHI ≥30. (LLM, conf=0.82)
Experimental — accuracy not yet measuredSeven studies evaluated the performance of Type 3 HSAT devices against PSG, with AHI cutoffs varying across studies.
“Seven studies evaluated the performance of Type 3 HSAT devices against PSG, but the AHI cutoffs employed varied across studies, resulting in sub-grouping by AHI cutoffs for our analyses.”
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 [87]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
No references could be resolved yet.
Research works printed but not linked: 19
- Young T, Palta M, Dempsey J, Skatrud J, Weber S, Badr S. The occurrence of sleep-disordered breathing among middle-aged adults. N Engl J Med 1993;32:1230-5.
- Young T, Peppard PE, Taheri S. Excess weight and sleep-disordered breathing. J Appl Physiol 2005;99:1592-9.
- Young T, Evans L, Finn L, Palta M. Estimation of the clinically diagnosed proportion of sleep apnea syndrome in middle-aged men and women. Sleep 1997;20:705-6.
- Peker Y, Carlson J, Hedner J. Increased incidence of coronary artery disease in sleep apnoea: A long-term follow-up. Eur Respir J 2006;28:596-602.
- Ulfberg J, Carter N, Edling C. Sleep-disordered breathing and occupational accidents. Scand J Work Environ Health 2000;26:237-42.
- Mulgrew AT, Nasvadi G, Butt A, et al. Risk and severity of motor vehicle crashes in patients with obstructive sleep apnoea/ hypopnoea. Thorax 2008;63:536-41.
- Ayas NT, Fox J, Epstein L, Ryan CF, Fleetham JA. Initial use of portable monitoring versus polysomnography to confirm obstructive sleep apnea in symptomatic patients: An economic decision model. Sleep Med 2010;11:320-4.
- Dingli K, Coleman EL, Vennelle M, et al. Evaluation of a portable device for diagnosing the sleep apnoea/hypopnoea syndrome. Eur Respir J 2003;21:253-9.
- Ng SS, Chan TO, To KW, et al. Validation of Embletta portable diagnostic system for identifying patients with suspected obstructive sleep apnoea syndrome (OSAS). Respirology 2010;15:336-42.
- Wahner-Roedler DL, Olson EJ, Narayanan S, et al. Gender-specific differences in a patient population with obstructive sleep apnea-hypopnea syndrome. Gend Med 2007;4:329-38.
- Valipour A, Lothaller H, Rauscher H, Zwick H, Burghuber OC, Lavie P. Gender-related differences in symptoms of patients with suspected breathing disorders in sleep: A clinical population study using the sleep disorders questionnaire. Sleep 2007;30:312-9.
- Ye L, Pien GW, Weaver TE. Gender differences in the clinical manifestation of obstructive sleep apnea. Sleep Med 2009;10:1075-84.
- O'Connor C, Thornley KS, Hanly PJ. Gender differences in the polysomnographic features of obstructive sleep apnea. Am J Respir Crit Care Med 2000;161:1465-72.
- Ware JC, McBrayer RH, Scott JA. Influence of sex and age on duration and frequency of sleep apnea events. Sleep 2000;23:165-70.
- Buysse DJ, Reynolds CFI, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Res 1989;28:193-213.
- Netzer NC, Stoohs RA, Netzer CM, Clark K, Strohl KP. Using the Berlin questionnaire to identify patients at risk for the sleep apnea syndrome. Ann Intern Med 1999;131:485-91.
- Fosgate GT. Practical sample size calculations for surveillance and diagnostic investigations. J Vet Diagn Invest 2009;21:3-14.
- Blackman A, McGregor C, Dales R, et al. Canadian Sleep Society; Canadian Thoracic Society. Canadian Sleep Society/Canadian Thoracic Society position paper on the use of portable monitoring for the diagnosis of obstructive sleep apnea/hypopnea in adults. Can Respir J 2010;17:229-32.
- Bridevaux PO, Fitting JW, Fellrath JM, Aubert JD. Inter-observer agreement on apnoea hypopnoea index using portable monitoring of respiratory parameters. Swiss Med Wkly 2007;137:602-7.
Cited by
Sorted by citations
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 · see citing works
El Shayeb, M., Topfer, L.-A., Stafinski, T., Pawluk, L., & Menon, D. (2014) · Canadian Medical Association Journal · doi:10.1503/cmaj.130952 · Cited by 237 · see citing works
Idris, G., Galland, B., Robertson, C. J., Gray, A., & Farella, M. (2018) · Journal of Dentistry · doi:10.1016/j.jdent.2018.01.006 · Cited by 35 · see citing works
- Authors
- Gjevre, J., Taylor-Gjevre, R., Skomro, R., Reid, J., Fenton, M., & Cotton, D.
- Venue
- Canadian Respiratory Journal
- Publisher
- Wiley
- Published
- 2011-01
- Volume
- 18
- Issue
- 5
- Pages
- 271-274
- ISSN
- 1198-2241 (ISSN-L)
- 1916-7245
- PMC
- PMC3267604
- OpenAlex
- W201196720
- Cited by
- 40
- References
- 0
- Citations by year
- 2026: 2 · 2024: 3 · 2023: 3 · 2022: 2 · 2021: 4 · 2020: 3 · 2019: 1 · 2018: 4 · 2017: 3 · 2016: 1 · 2015: 1 · 2014: 5 · 2013: 5 · 2012: 2
- FWCI
- 2.68
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Canadian Respiratory Journal (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Saskatchewan Health Research Foundation
- Topics
- Health Sciences › Medicine › Physiology › Obstructive Sleep Apnea Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
- Keywords
- obstructive sleep apnea, home sleep testing, polysomnography, women, diagnostic accuracy, apnea-hypopnea index, sleep-disordered breathing, OSA severity, positive predictive value, sensitivity
- MeSH terms
- Adult, Aged, Female, Humans, Middle Aged, Monitoring, Physiologic, Prospective Studies, ROC Curve, Saskatchewan, Self Care, Sensitivity and Specificity, Polysomnography, Sleep Apnea, Obstructive, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review