Does My Bed Partner Have OSA? There's an App for That!

Sands, Scott A.; Owens, Robert L.

doi:10.5664/jcsm.3366

Cited by 7 publications

(9 citation statements)

References 7 publications

(4 reference statements)

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“…Low-cost oximeters that can be used with a smart phone are readily available to the public and their use can be expected to increase rapidly with the growing popularity of ‘iHealth’ phone applications. 32 The day is probably not far off when a pulse oximeter will be integrated into a wristwatch and there will be ‘apps’ that can display the ODI. More than three decades have passed since diagnostic testing for sleep disorders entered the main stream of clinical medicine and still we see educated patients with good health insurance presenting with severe and unrecognised obstructive sleep apnoea.…”

Section: Discussionmentioning

confidence: 99%

Type III home sleep testing versus pulse oximetry: is the respiratory disturbance index better than the oxygen desaturation index to predict the apnoea-hypopnoea index measured during laboratory polysomnography?

et al. 2015

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ObjectivesIn its guidelines on the use of portable monitors to diagnose obstructive sleep apnoea, the American Academy of Sleep Medicine endorses home polygraphy with type III devices recording at a minimum airflow the respiratory effort and pulse oximetry, but advises against simple pulse oximetry. However, oximetry is widely available and simple to use in the home. This study was designed to compare the ability of the oxygen desaturation index (ODI) based on oximetry alone with a stand-alone pulse oximeter (SPO) and from the oximetry channel of the ApneaLink Plus (ALP), with the respiratory disturbance index (RDI) based on four channels from the ALP to predict the apnoea–hypopnoea index (AHI) from laboratory polysomnography.DesignCross-sectional diagnostic accuracy study.SettingSleep medicine practice of a multispecialty clinic.ParticipantsPatients referred for laboratory polysomnography with suspected sleep apnoea. We enrolled 135 participants with 123 attempting the home sleep testing and 73 having at least 4 hours of satisfactory data from SPO and ALP.InterventionsParticipants had home testing performed simultaneously with both a SPO and an ALP. The 2 oximeter probes were worn on different fingers of the same hand. The ODI for the SPO was calculated using Profox software (ODISOX). For the ALP, RDI and ODI were calculated using both technician scoring (RDIMAN and ODIMAN) and the ALP computer scoring (RDIRAW and ODIRAW).ResultsThe receiver–operator characteristic areas under the curve for AHI ≥5 were RDIMAN 0.88 (95% confidence limits 0.81–0.96), RDIRAW 0.86 (0.76–0.94), ODIMAN 0.86 (0.77–0.95), ODIRAW 0.84 (0.75–0.93) and ODISOX 0.83 (0.73–0.93).ConclusionsWe conclude that the RDI and the ODI, measured at home on the same night, give similar predictions of the laboratory AHI, measured on a different night. The differences between the two methods are small compared with the reported night-to-night variation of the AHI.

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Section: Discussionmentioning

confidence: 99%

Type III home sleep testing versus pulse oximetry: is the respiratory disturbance index better than the oxygen desaturation index to predict the apnoea-hypopnoea index measured during laboratory polysomnography?

et al. 2015

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“…The third article described a bone conduction microphone to record snoring sounds as a part of telemonitoring for sleep apnoea 9 . Finally, the fourth article was an editorial 10 commenting on the study by Nakano et al 8 …”

Section: Methodsmentioning

confidence: 99%

Smartphone apps for snoring

et al. 2015

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“…1 Snoring is a sound caused by vibration of the soft palate and other airway structures when the air is partially blocked and cannot move freely through the upper airway. [2][3][4] Primary snoring may be related to factors such as sex, age, body weight, sleeping position, allergies, common cold, alcohol, tobacco, medication consumption, and certain malocclusions. 2,5 Furthermore, snoring has been described as a risk factor for cardiovascular diseases 6,7 and as a sign of obstructive sleep apnea (OSA).…”

Section: Introductionmentioning

confidence: 99%

“…[2][3][4] Primary snoring may be related to factors such as sex, age, body weight, sleeping position, allergies, common cold, alcohol, tobacco, medication consumption, and certain malocclusions. 2,5 Furthermore, snoring has been described as a risk factor for cardiovascular diseases 6,7 and as a sign of obstructive sleep apnea (OSA). 8 A positive correlation between snoring intensity and severity of OSA has been suggested 9 ; however, not everyone who snores has OSA, and the snoring sound profile itself is not a good predictor of OSA presence or severity.…”

Section: Introductionmentioning

confidence: 99%

“…8 A positive correlation between snoring intensity and severity of OSA has been suggested 9 ; however, not everyone who snores has OSA, and the snoring sound profile itself is not a good predictor of OSA presence or severity. 2 Despite these adverse effects, the most common patient motivation for asking for treatment is something like, "My snoring bothers my wife." Snoring often affects the quality of sleep of bed partners.…”

Section: Introductionmentioning

confidence: 99%

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Snoring intensity assessment with three different smartphones using the SnoreLab application in one participant

Figueras-Álvarez

Cantó-Navés

Cabratosa-Termes

et al. 2020

Journal of Clinical Sleep Medicine

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Study Objectives: To compare the assessment of snoring using the SnoreLab application (app) using three different smartphones by one participant to validate SnoreLab as a method for collecting data for studies on the effectiveness of snoring treatment. Methods: A person from the research group was monitored for 30 consecutive nights with the SnoreLab app using three different smartphones (Xiaomi MI8Pro, Samsung Galaxy Alpha, and BQ Aquaris V). The SnoreLab app instructions were strictly followed, and data were collected from the app. Results: No significant differences were found in the measurements from the three smartphones in the time in bed, all snoring time, snoring percentage, and quiet time. BQ and Samsung smartphones determined significantly more light snoring time than did the Xiaomi smartphone. The Samsung smartphone assessed significantly less loud snoring time than did the Xiaomi smartphone and measured the shortest epic snoring time. The lowest Snore Score was calculated with the Samsung smartphone, the highest with the Xiaomi smartphone. Pearson's correlation coefficients demonstrated a relatively strong relationship between the Snore Score measured with the three smartphones. Conclusions: Even though there was a relatively strong relationship between the Snore Score measured with the three smartphones by one participant, the observed differences make it difficult to use this index as a method of collecting data for studies on snoring treatment effectiveness when patients use different smartphones; however, the SnoreLab app may be handy to quantify treatment effectiveness for a specific patient, provided the patient always uses the same smartphone.

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Does My Bed Partner Have OSA? There's an App for That!

Cited by 7 publications

References 7 publications

Type III home sleep testing versus pulse oximetry: is the respiratory disturbance index better than the oxygen desaturation index to predict the apnoea-hypopnoea index measured during laboratory polysomnography?

Type III home sleep testing versus pulse oximetry: is the respiratory disturbance index better than the oxygen desaturation index to predict the apnoea-hypopnoea index measured during laboratory polysomnography?

Smartphone apps for snoring

Snoring intensity assessment with three different smartphones using the SnoreLab application in one participant

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