Skip to main content
Top
Published in: Obesity Surgery 5/2015

01-05-2015 | Original Contributions

Diagnostic Accuracy of Home-Based Monitoring System in Morbidly Obese Patients with High Risk for Sleep Apnea

Authors: Márcia G. Oliveira, Erika C. Treptow, Cesar Fukuda, Luiz E. Nery, Rosana M. Valadares, Sérgio Tufik, Lia Bittencourt, Sonia M. Togeiro

Published in: Obesity Surgery | Issue 5/2015

Login to get access

Abstract

Background

No previous studies have validated the use of portable monitoring (PM) for the diagnosis of obstructive sleep apnea (OSA) in morbidly obese individuals. Our aim was to investigate the accuracy of PM for detecting respiratory events in morbidly obese patients that will be undergoing bariatric surgery.

Methods

This was a prospective study involving patients with body mass index (BMI) ≥35 kg/m2 who were recruited from the Sleep Clinic of Universidade Federal de São Paulo. Sleep-disordered breathing (SDB) was evaluated during full-night polysomnography (PSG). PM use was randomized and used on two consecutive nights: (1) at home (STDHome) and (2) at the sleep laboratory with PSG (PSG_STDLab).

Results

Although 58 participants initially underwent the recordings, 26 (45 %) were excluded because of technical problems. The patients’ mean age was 42.9 ± 10.9 (SD) years, and 56 % were female. The mean BMI was 40.8 ± 5.2 kg/m2. All patients had high risk for OSA, as defined by the Stop-Bang questionnaire, and the mean apnea-hypopnea index (AHI) was 46.9 ± 30.4/h. The intraclass coefficient of the correlation between AHI_PSG and AHI_STDLab was r = 0.92 (p = 0.0001); the intraclass coefficient for AHI_PSG and AHI_STDHome was r = 0.84 (p = 0.0001). The Kappa index was 0.87 (p > 0.0001) for severe cases. The sensitivity and the positive predictive value increased with the disease severity. A Bland-Altman analysis showed good agreement between the investigated methods.

Conclusions

PM is an efficacious method for diagnosing OSA in obese patients who have a high clinical probability of the disease. The method displays good sensitivity and specificity in severe cases; nevertheless, the high rate of data loss must be taken into account.
Literature
5.
go back to reference Chai-Coetzer CL, Antic NA, Rowland LS, et al. Primary care vs specialist sleep center management of obstructive sleep apnea and daytime sleepiness and quality of life: a randomized trial. Jama. 2013;309(10):997–1004. doi:10.1001/jama.2013.1823.CrossRefPubMed Chai-Coetzer CL, Antic NA, Rowland LS, et al. Primary care vs specialist sleep center management of obstructive sleep apnea and daytime sleepiness and quality of life: a randomized trial. Jama. 2013;309(10):997–1004. doi:10.​1001/​jama.​2013.​1823.CrossRefPubMed
8.
go back to reference Johns MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep. 1991;14(6):540–5.PubMed Johns MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep. 1991;14(6):540–5.PubMed
9.
go back to reference Hori T, Sugita Y, Koga E, et al. Sleep Computing Committee of the Japanese Society of Sleep Research Society. Proposed supplements and amendments to ’A Manual of StandardizedTerminology, Techniques and ScoringSystem for Sleep Stages of HumanSubjects’, the Rechtschaffen & Kales (1968) standard. Psychiatry Clin Neurosci. 2001;55(3):305–10.CrossRefPubMed Hori T, Sugita Y, Koga E, et al. Sleep Computing Committee of the Japanese Society of Sleep Research Society. Proposed supplements and amendments to ’A Manual of StandardizedTerminology, Techniques and ScoringSystem for Sleep Stages of HumanSubjects’, the Rechtschaffen & Kales (1968) standard. Psychiatry Clin Neurosci. 2001;55(3):305–10.CrossRefPubMed
10.
go back to reference Rahaghi F, Basner RC. Delayed diagnosis of obstructive sleep apnea: don’t ask don’t tell. Sleep Breath. 1999;3(4):119–24.CrossRefPubMed Rahaghi F, Basner RC. Delayed diagnosis of obstructive sleep apnea: don’t ask don’t tell. Sleep Breath. 1999;3(4):119–24.CrossRefPubMed
11.
go back to reference American Sleep Disorders Association. EEG arousals: scoring rules and examples: a preliminary report from the Sleep Disorders Atlas Task Force of the American Sleep Disorders Association. Sleep. 1992;15(2):173–84. American Sleep Disorders Association. EEG arousals: scoring rules and examples: a preliminary report from the Sleep Disorders Atlas Task Force of the American Sleep Disorders Association. Sleep. 1992;15(2):173–84.
12.
go back to reference American Sleep Disorders Association Atlas Task Force. Recording and scoring leg movements. Sleep. 1993;16(8):748–59. American Sleep Disorders Association Atlas Task Force. Recording and scoring leg movements. Sleep. 1993;16(8):748–59.
13.
go back to reference American Academy of Sleep Medicine Task Force. Sleep-related breathing disorders in adults: recommendations for syndrome definition and measurement techniques in clinical research. The Report of an American Academy of Sleep Medicine Task Force. Sleep. 1999;22(5):667–89. American Academy of Sleep Medicine Task Force. Sleep-related breathing disorders in adults: recommendations for syndrome definition and measurement techniques in clinical research. The Report of an American Academy of Sleep Medicine Task Force. Sleep. 1999;22(5):667–89.
14.
go back to reference Hulley SB et al. Designing clinical research: an epidemiological approach. Second Edition. Philadelphia: Lippincott Williams & Wilkins; 2001. Hulley SB et al. Designing clinical research: an epidemiological approach. Second Edition. Philadelphia: Lippincott Williams & Wilkins; 2001.
15.
go back to reference Santos-Silva R, Sartori DE, Truksinas V, et al. Validation of a portable monitoring system for the diagnosis of obstructive sleep apnea syndrome. Sleep. 2009;32(5):629–36.PubMedCentralPubMed Santos-Silva R, Sartori DE, Truksinas V, et al. Validation of a portable monitoring system for the diagnosis of obstructive sleep apnea syndrome. Sleep. 2009;32(5):629–36.PubMedCentralPubMed
16.
go back to reference White DP, Gibb TJ, Wall JM, et al. Assessment of accuracy and analysis time of a novel device to monitor sleep and breathing in the home. Sleep. 1995;18(2):115–26.PubMed White DP, Gibb TJ, Wall JM, et al. Assessment of accuracy and analysis time of a novel device to monitor sleep and breathing in the home. Sleep. 1995;18(2):115–26.PubMed
17.
go back to reference Polese JF, Santos-Silva R, Kobayashi RF, et al. Portable monitoring devices in the diagnosis of obstructive sleep apnea: current status, advantages, and limitations. J Bras Pneumol. 2010;36(4):498–505.CrossRefPubMed Polese JF, Santos-Silva R, Kobayashi RF, et al. Portable monitoring devices in the diagnosis of obstructive sleep apnea: current status, advantages, and limitations. J Bras Pneumol. 2010;36(4):498–505.CrossRefPubMed
19.
go back to reference Collop NA, Anderson WM, Boehlecke B, et al. Clinical guidelines for the use of unattended portable monitors in the diagnosis of obstructive sleep apnea in adult patients. Portable Monitoring Task Force of the American Academy of Sleep Medicine. J Clin Sleep Med. 2007;3(7):737–47.PubMed Collop NA, Anderson WM, Boehlecke B, et al. Clinical guidelines for the use of unattended portable monitors in the diagnosis of obstructive sleep apnea in adult patients. Portable Monitoring Task Force of the American Academy of Sleep Medicine. J Clin Sleep Med. 2007;3(7):737–47.PubMed
20.
go back to reference Man GC, Kang BV. Validation of a portable sleep apnea monitoring device. Chest. 1995;108(2):388–93.CrossRefPubMed Man GC, Kang BV. Validation of a portable sleep apnea monitoring device. Chest. 1995;108(2):388–93.CrossRefPubMed
21.
go back to reference Yin M, Miyazaki S, Ishikawa K. Evaluation of type 3 portable monitoring in unattended home setting for suspected sleep apnea: factors that may affect its accuracy. Otolaryngol Head Neck Surg. 2006;134(2):204–9.CrossRefPubMed Yin M, Miyazaki S, Ishikawa K. Evaluation of type 3 portable monitoring in unattended home setting for suspected sleep apnea: factors that may affect its accuracy. Otolaryngol Head Neck Surg. 2006;134(2):204–9.CrossRefPubMed
22.
Metadata
Title
Diagnostic Accuracy of Home-Based Monitoring System in Morbidly Obese Patients with High Risk for Sleep Apnea
Authors
Márcia G. Oliveira
Erika C. Treptow
Cesar Fukuda
Luiz E. Nery
Rosana M. Valadares
Sérgio Tufik
Lia Bittencourt
Sonia M. Togeiro
Publication date
01-05-2015
Publisher
Springer US
Published in
Obesity Surgery / Issue 5/2015
Print ISSN: 0960-8923
Electronic ISSN: 1708-0428
DOI
https://doi.org/10.1007/s11695-014-1469-6

Other articles of this Issue 5/2015

Obesity Surgery 5/2015 Go to the issue