Respiratory Polygraphy With Actigraphy in the Diagnosis of Sleep Apnea-Hypopnea Syndrome
Abstract
Objective To determine the utility and reliability of a respiratory polygraphy (RP) device with actigraphy (Apnoescreen II; Erich Jaeger GMBH & CoKg; Wuerzburg, Germany) in the diagnosis of sleep apnea-hypopnea syndrome (SAHS). Design A prospective randomized study with blinded analysis. Patients Sixty-two patients with suspected SAHS. Measurements the following two RP studies were performed: one in the sleep laboratory (sleep laboratory RP [LRP]), simultaneously with polysomnography; and the other at home (home RP [HRP]). To study the interobserver reliability of RP, two manual analyses were carried out by two different researchers. Results In LRP, when the respiratory disturbance index was calculated using the total sleep time estimated by actigraphy (RDI) as a denominator, the sensitivity ranged between 94.6% and 100%, and the specificity between 88% and 96.7% for the different cutoff points of the apnea-hypopnea indexes studied. When the respiratory disturbance index was calculated according to the total recording time (RDITRT), the sensitivity was slightly lower (91.6 to 96.9%) and the specificity was similar (92 to 96.7%). In HRP, the sensitivity of the RDI ranged between 83.8% and 95.8%, and the specificity between 92% and 100%, whereas, when the RDITRT was used, the sensitivity was between 83.8% and 87.5%, and the specificity was between 94.7% and 100%. With regard to interobserver reliability, the intraclass correlation coefficient for the RDI of the two analyses of…
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Using 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 [94]
Cites
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965 · see citing works
The Role of Actigraphy in the Study of Sleep and Circadian Rhythms
Ancoli-Israel, S., Cole, R., Alessi, C., Chambers, M., Moorcroft, W., & Pollak, C. P. (2003) · Sleep · doi:10.1093/sleep/26.3.342 · Cited by 2,751 · see citing works
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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 · see citing works
The role and validity of actigraphy in sleep medicine: an update
Sadeh, A. (2011) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2010.10.001 · Cited by 1,415 · see citing works
Obstructive Sleep Apnea Devices for Out-Of-Center (OOC) Testing: Technology Evaluation
Collop, N. A., Tracy, S. L., Kapur, V., Mehra, R., Kuhlmann, D., Fleishman, S. A., & Ojile, J. M. (2011) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.1328 · Cited by 427 · see citing works
Short sleep duration and incident coronary artery calcification
(2008) · JAMA · doi:10.1001/jama.2008.867 · Cited by 389 · see citing works
International Consensus Statement on Obstructive Sleep Apnea
Chang, J. L., Goldberg, A. N., Alt, J. A., Mohammed, A., Ashbrook, L., Auckley, D., Ayappa, I., Bakhtiar, H., Barrera, J. E., Bartley, B. L., et al. (2023) · International Forum of Allergy & Rhinology · doi:10.1002/alr.23079 · Cited by 350 · 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
Masa, J. F., Corral, J., Pereira, R., Duran-Cantolla, J., Cabello, M., Hernandez-Blasco, L., Monasterio, C., Alonso, A., Chiner, E., Rubio, M., et al. (2011) · Thorax · doi:10.1136/thx.2010.152272 · Cited by 161 · see citing works
Guerrero, A., Embid, C., Isetta, V., Farre, R., Duran-Cantolla, J., Parra, O., Barbé, F., Montserrat, J. M., & Masa, J. F. (2014) · Sleep · doi:10.5665/sleep.3932 · Cited by 62 · see citing works
- Authors
- García-Díaz, E., Quintana-Gallego, E., Ruiz, A., Carmona-Bernal, C., Sánchez-Armengol, Á., Botebol-Benhamou, G., & Capote, F.
- Affiliations
- Hospital Universitario Virgen del Rocío (ES)
- Corresponding author
- García-Díaz, Emilio
- Venue
- Chest
- Publisher
- Elsevier BV
- Published
- 2007-03
- Volume
- 131
- Issue
- 3
- Pages
- 725-732
- ISSN
- 0012-3692 (ISSN-L)
- OpenAlex
- W2078385819
- Cited by
- 80
- References
- 2
- Citations by year
- 2025: 1 · 2024: 3 · 2023: 3 · 2022: 4 · 2021: 2 · 2020: 4 · 2019: 2 · 2018: 5 · 2017: 7 · 2016: 3 · 2015: 15 · 2014: 6 · 2013: 6
- FWCI
- 2.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- CHEST Journal (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Obstructive Sleep Apnea Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Neuroscience of respiration and sleep
- Keywords
- sleep apnea-hypopnea syndrome, respiratory polygraphy, actigraphy, home sleep testing, respiratory disturbance index, sensitivity and specificity, inter-rater reliability, apnea-hypopnea index
- MeSH terms
- Adult, Aged, Equipment Design, Female, Humans, Male, Middle Aged, Prospective Studies, Pulmonary Ventilation, Sensitivity and Specificity, Signal Processing, Computer-Assisted, Software, Statistics as Topic, Observer Variation, Polysomnography, Monitoring, Ambulatory, Sleep Apnea, Obstructive
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