Snoring Sound Intensity and Formant Frequencies by Sleep Position in Patients with Positional Obstructive Sleep Apnea

Koh, Tae Kyung; Kwon, Soon Bok; Koo, Soo Kweon; Lee, Ho Byung; Ji, Chang Lok; Park, Geun Hyung; Lee, Sang Jun

doi:10.3342/kjorl-hns.2020.00094

Cited by 4 publications

(2 citation statements)

References 30 publications

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“…Because of the small number of female patients in the current study, we were unable to conduct a stratified analysis. In addition, sleep position may also affect acoustic features of sleep breathing sound, and this was not considered in the present study. Therefore, future studies should incorporate more female patients to assess the effects of sex and sleep positions.…”

Section: Discussionmentioning

confidence: 99%

Evaluating Prediction Models of Sleep Apnea From Smartphone-Recorded Sleep Breathing Sounds

Cho

Jung

Shin

et al. 2022

JAMA Otolaryngol Head Neck Surg

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Breathing sounds during sleep are an important characteristic feature of obstructive sleep apnea (OSA) and have been regarded as a potential biomarker. Breathing sounds during sleep can be easily recorded using a microphone, which is found in most smartphone devices. Therefore, it may be easy to implement an evaluation tool for prescreening purposes.OBJECTIVE To evaluate OSA prediction models using smartphone-recorded sounds and identify optimal settings with regard to noise processing and sound feature selection. DESIGN, SETTING, AND PARTICIPANTSA cross-sectional study was performed among patients who visited the sleep center of Seoul National University Bundang Hospital for snoring or sleep apnea from August 2015 to August 2019. Audio recordings during sleep were performed using a smartphone during routine, full-night, in-laboratory polysomnography. Using a random forest algorithm, binary classifications were separately conducted for 3 different threshold criteria according to an apnea hypopnea index (AHI) threshold of 5, 15, or 30 events/h. Four regression models were created according to noise reduction and feature selection from the input sound to predict actual AHI: (1) noise reduction without feature selection, (2) noise reduction with feature selection, (3) neither noise reduction nor feature selection, and (4) feature selection without noise reduction. Clinical and polysomnographic parameters that may have been associated with errors were assessed. Data were analyzed from September 2019 to September 2020. MAIN OUTCOMES AND MEASURES Accuracy of OSA prediction models.RESULTS A total of 423 patients (mean [SD] age, 48.1 [12.8] years; 356 [84.1%] male) were analyzed. Data were split into training (n = 256 [60.5%]) and test data sets (n = 167 [39.5%]). Accuracies were 88.2%, 82.3%, and 81.7%, and the areas under curve were 0.90, 0.89, and 0.90 for an AHI threshold of 5, 15, and 30 events/h, respectively. In the regression analysis, using recorded sounds that had not been denoised and had only selected attributes resulted in the highest correlation coefficient (r = 0.78; 95% CI, 0.69-0.88). The AHI (β = 0.33; 95% CI, 0.24-0.42) and sleep efficiency (β = −0.20; 95% CI, −0.35 to −0.05) were found to be associated with estimation error. CONCLUSIONS AND RELEVANCEIn this cross-sectional study, recorded sleep breathing sounds using a smartphone were used to create reasonably accurate OSA prediction models. Future research should focus on real-life recordings using various smartphone devices.

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Section: Discussionmentioning

confidence: 99%

Evaluating Prediction Models of Sleep Apnea From Smartphone-Recorded Sleep Breathing Sounds

Cho

Jung

Shin

et al. 2022

JAMA Otolaryngol Head Neck Surg

View full text Add to dashboard Cite

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“…The higher frequency of palate surgery for OSA in older women, compared to men, could be related to the average age at which OSA is diagnosed, which varies by sex. Furthermore, the increased prevalence of OSA in women in their 50s might be connected to hormonal shifts such as changes in estrogen and progesterone levels, or the commencement of menopause [19,20].…”

Section: The Ratio Of the Number Of Palate Operations To The Number O...mentioning

confidence: 99%

Trends in Palate Surgery for Obstructive Sleep Apnea in Korea Over the Past 12 Years

Cho,

Choi

2023

J Rhinol

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Background and Objectives: In the past, palate surgery, such as uvulopalatopharyngoplasty (UPPP), was widely performed to treat obstructive sleep apnea (OSA). However, since the introduction of reimbursement for positive airway pressure (PAP) therapy in 2018, it is believed that the frequency of these operations has significantly declined. Despite this, there are currently no definitive data to support this assertion.Methods: We examined the number of palate operations conducted by utilizing medical statistical data from the Health Insurance Review and Assessment Service (HIRA) Bigdata Open portal. Within this system, we queried UPPP (Q2196), UPPP_complex (Q2195), and uvulectomy (Q2197), and collected data spanning from 2010 to 2021. The data were then analyzed according to hospital type, sex, and age groups.Results: In total, 2,728 palate operations were performed in 2010; this number peaked at 4,330 cases in 2014, and then steadily decreased to 3,096 cases in 2021. Of the operations in 2010, 1,892 were conducted in general hospitals, while 836 took place in primary hospitals and clinics. However, by 2021, the number of operations performed in general hospitals had decreased to 1,002, while those performed in primary hospitals and clinics had increased to 2,093. The most common age group for these operations was 30–39 for men and 40–49 for women. Since 2019, the proportion of palate operations relative to the number of OSA patients has decreased.Conclusion: The frequency of palate surgery in Korea started to decrease after 2014. Despite this, there was an increase in the number of these operations performed in hospitals and clinics, with middle-aged patients being the primary recipients. The ratio of palate operations to OSA patients has shown a notable decrease after the introduction of reimbursement of polysomnography and PAP therapy.

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Impact of sleep posture and breathing pattern on soft palate flutter and pharynx vibration in a pediatric airway using fluid–structure interaction

Chen

Feng

Shi

et al. 2023

Journal of Biomechanics

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Snoring Sound Intensity and Formant Frequencies by Sleep Position in Patients with Positional Obstructive Sleep Apnea

Cited by 4 publications

References 30 publications

Evaluating Prediction Models of Sleep Apnea From Smartphone-Recorded Sleep Breathing Sounds

Evaluating Prediction Models of Sleep Apnea From Smartphone-Recorded Sleep Breathing Sounds

Trends in Palate Surgery for Obstructive Sleep Apnea in Korea Over the Past 12 Years

Impact of sleep posture and breathing pattern on soft palate flutter and pharynx vibration in a pediatric airway using fluid–structure interaction

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