0487 Comparing Three Home Sleep Apnea Testing Devices to Polysomnography: Evaluating Diagnostic Rates for Obstructive Sleep Apnea

Objective: Obstructive sleep apnea (OSA) is a potential serious disorder with a rising prevalence in Thailand. However, underdiagnosis is common as a result of limited diagnostic resources. Home sleep apnea testing (HSAT) has been introduced to replace standard polysomnography (PSG) in certain circumstances. The present study aimed to evaluate the diagnostic accuracy of this uncomplicated ambulatory test. Materials and Methods: Adult patients without significant cardiopulmonary disease presenting with signs and symptoms that indicate an increased risk of moderate to severe OSA were recruited from the Siriraj Sleep Center in Bangkok. Participants were asked to do a sleep test at home using the HSAT device the day after they had an in-hospital standard PSG. Results: Eighty-nine participants were recruited between August 2018 and October 2019, but the data were complete in 80 patients. The prevalence of OSA as identified in the PSG was 95%. The diagnostic accuracy of the HSAT was 85%, with an intraclass correlation coefficient of 0.79 (95% CI 0.70 to 0.87) for both tests. For the severity classification, misclassifications that may affect diagnostic phenotyping and therapeutic decision was encountered in 12 patients (15%). Conclusion: The HSAT had good accuracy for patients with an increased risk of moderate to severe OSA. However, false-negative tests and an underestimation of disease severity should be considered. Keywords: Home sleep apnea testing (HSAT), Obstructive sleep apnea (OSA), Diagnostic accuracy

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A Modified Definition for Obstructive Sleep Apnea in Home Sleep Apnea Testing after Stroke or Transient Ischemic Attack

Journal of Stroke and Cerebrovascular Diseases ◽

10.1016/j.jstrokecerebrovasdis.2017.12.052 ◽

2018 ◽

Vol 27 (6) ◽

pp. 1524-1532 ◽

Cited By ~ 5

Author(s):

Namita Patel ◽

Afsaneh Raissi ◽

Sara Elias ◽

Maneesha Kamra ◽

Tetyana Kendzerska ◽

...

Keyword(s):

Obstructive Sleep Apnea ◽

Sleep Apnea ◽

Transient Ischemic Attack ◽

Obstructive Sleep ◽

Home Sleep Apnea Testing ◽

Ischemic Attack ◽

Apnea Testing

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Belun Ring Platform: a novel home sleep apnea testing system for assessment of obstructive sleep apnea

Journal of Clinical Sleep Medicine ◽

10.5664/jcsm.8592 ◽

2020 ◽

Vol 16 (9) ◽

pp. 1611-1617

Author(s):

Wenbo Gu ◽

Lydia Leung ◽

Ka Cheung Kwok ◽

I-Chen Wu ◽

Rodney J. Folz ◽

...

Keyword(s):

Obstructive Sleep Apnea ◽

Sleep Apnea ◽

Testing System ◽

Obstructive Sleep ◽

Home Sleep Apnea Testing ◽

Apnea Testing

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Comparison of home sleep apnea testing versus laboratory polysomnography for the diagnosis of obstructive sleep apnea in children

International Journal of Pediatric Otorhinolaryngology ◽

10.1016/j.ijporl.2017.06.013 ◽

2017 ◽

Vol 100 ◽

pp. 44-51 ◽

Cited By ~ 13

Author(s):

Nicholas Scalzitti ◽

Shana Hansen ◽

Stephen Maturo ◽

Joshua Lospinoso ◽

Peter O'Connor

Keyword(s):

Obstructive Sleep Apnea ◽

Sleep Apnea ◽

Obstructive Sleep ◽

Home Sleep Apnea Testing ◽

Apnea Testing

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0451 Comparing Three Home Sleep Apnea Testing Devices to Polysomnography: Evaluating Diagnostic Rates for Obstructive Sleep Apnea

SLEEP ◽

10.1093/sleep/zsz067.450 ◽

2019 ◽

Vol 42 (Supplement_1) ◽

pp. A181-A181 ◽

Cited By ~ 1

Author(s):

Jessica Arguelles ◽

Jeremiah Chang ◽

Lambert Henry ◽

Carlos Villalpando ◽

Maria Romero ◽

...

Keyword(s):

Obstructive Sleep Apnea ◽

Sleep Apnea ◽

Obstructive Sleep ◽

Home Sleep Apnea Testing ◽

Apnea Testing

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Differences between manual and automatic analysis in determining the severity of obstructive sleep apnea using home sleep apnea testing

Sleep Medicine ◽

10.1016/j.sleep.2018.03.015 ◽

2018 ◽

Vol 47 ◽

pp. 66-71 ◽

Cited By ~ 1

Author(s):

Gonzalo Labarca ◽

Jorge Dreyse ◽

Constanza Salas ◽

Andrea Contreras ◽

Gonzalo Nazar ◽

...

Keyword(s):

Obstructive Sleep Apnea ◽

Sleep Apnea ◽

Automatic Analysis ◽

Obstructive Sleep ◽

Home Sleep Apnea Testing ◽

Apnea Testing

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Reliability of Holter Oximetry for Home Sleep Apnea Testing

Otolaryngology ◽

10.1016/j.otohns.2008.05.269 ◽

2008 ◽

Vol 139 (2_suppl) ◽

pp. P83-P84 ◽

Cited By ~ 1

Author(s):

Jordan C Stern ◽

Conor Heneghan ◽

Redmond Shouldice

Keyword(s):

Obstructive Sleep Apnea ◽

Sleep Apnea ◽

Apnea Hypopnea Index ◽

Patients Âgés ◽

Home Testing ◽

Obstructive Sleep ◽

Adults And Children ◽

Home Sleep Apnea Testing ◽

A Prospective Study ◽

At Home

Objective To test the reliability of the Holter Oximeter for home testing of obstructive sleep apnea. Previous reports have shown a 96% correlation with simultaneous polysomnography and Holter Oximetry in the sleep laboratory. This study was designed to measure reliability of data obtained at home, as well as to obtain information from patients regarding comfort of the device. Methods A prospective study of 120 consecutive patients (ages 5 to 85) presenting to an otolaryngology practice during a 4-month period with complaints of snoring or sleep apnea symptoms. Device: The Holter Oximeter produces an apnea hypopnea index (AHI) based on an automated processing method of a continuous electrocardiogram and pulse oximeter. The reliability of the test was determined by the number of tests completed without interruption due to patient discomfort, electrode or device failure. Results There was 97% data recovery from the home testing device. Data failure was due to faulty memory cards in the device or surface electrode failure. All patients tolerated wearing the device at home, and there were no voluntary interruptions of the tests by patients. On a discomfort scale of 0 to 10 (0: no discomfort and 10: maximal discomfort), the average discomfort score was 2. Conclusions Holter Oximetry represents a new, easy to use, and reliable device for the home diagnosis of obstructive sleep apnea. It can also be used to measure outcomes for the surgical and non-surgical treatment of obstructive sleep apnea in adults and children.

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474 Phenotyping of patients with Moderate to Severe OSA on Polysomnography after Negative Home Sleep Apnea Testing

SLEEP ◽

10.1093/sleep/zsab072.473 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A187-A187

Author(s):

Sarah Sarfraz ◽

Lindsay McCullough ◽

Henry Arantes ◽

Alejandra Lastra

Keyword(s):

Obstructive Sleep Apnea ◽

Sleep Apnea ◽

Flow Time ◽

Apnea Hypopnea Index ◽

Apnea Test ◽

Recording Time ◽

Time Flow ◽

Obstructive Sleep ◽

Severe Sleep Apnea ◽

Apnea Testing

Abstract Introduction Polysomnography (PSG) is the gold standard for the diagnosis of obstructive sleep apnea (OSA). Given cost, insurance restrictions and in some cases limited access to sleep center testing, the use of home based sleep apnea testing is becoming increasingly more common. A proportion of patients with technically adequate HSAT who are negative end up having significant disease on PSG. The characteristics of patients who are found to have moderate to severe sleep apnea on polysomnogram (PSG) after a negative home sleep apnea test (HSAT) are not known. We aim to phenotype these patients. Methods We conducted a retrospective chart review from March 2018 to February 2020. A total of 953 adult patients (18 years old and older) underwent HSAT, 248 tests resulted negative (apnea-hypopnea index <5/h). Out of the negative HSAT, 17 patients had moderate to severe obstructive sleep apnea on PSG. Those were included for analysis. Data on patient characteristics such as age, body mass index (BMI), gender, STOP-BANG, ESS and comorbidities was gathered. Respiratory disturbance index, recording time, flow time, oximetry time on HSAT was recorded. PSG recording time, baseline AHI, supine AHI and non-supine AHI were also noted. Technically inadequate HSAT were excluded from analysis. Results The percentage of patients with negative HSAT who were found to have moderate to severe sleep apnea on PSG and were included for analysis was 6.85% (n17). Mean age was 41 years. Mean BMI was 33 kg/m2. Common comorbidities were hypertension (29%), asthma (17.6 %), depression (17.6%), anxiety (11.7%) and reflux (5.9%). Average ESS was 11.7 and STOP-BANG was 3.8. The mean recording time was 477 minutes, flow time 391 minutes and oximetry time was 426 minutes on HSAT. Average PSG recording time was 433 minutes. Average AHI was 24 with supine being 33.2/h and non-supine 17.9/h. Conclusion A proportion of patients with negative HSAT have moderate to severe OSA on follow-up polysomnogram. These patients were young, with lower-class obesity, more positional OSA, and no associated complex comorbidities. Re-evaluation of current diagnostic algorithms and further research is needed to phenotype this at-risk group, as first-line PSG may be more cost-effective and efficient. Support (if any):

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