scholarly journals Detection of obstructive sleep apnea using Belun Sleep Platform wearable with neural network-based algorithm and its combined use with STOP-Bang questionnaire

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258040
Author(s):  
Eric Yeh ◽  
Eileen Wong ◽  
Chih-Wei Tsai ◽  
Wenbo Gu ◽  
Pai-Lien Chen ◽  
...  

Many wearables allow physiological data acquisition in sleep and enable clinicians to assess sleep outside of sleep labs. Belun Sleep Platform (BSP) is a novel neural network-based home sleep apnea testing system utilizing a wearable ring device to detect obstructive sleep apnea (OSA). The objective of the study is to assess the performance of BSP for the evaluation of OSA. Subjects who take heart rate-affecting medications and those with non-arrhythmic comorbidities were included in this cohort. Polysomnography (PSG) studies were performed simultaneously with the Belun Ring in individuals who were referred to the sleep lab for an overnight sleep study. The sleep studies were manually scored using the American Academy of Sleep Medicine Scoring Manual (version 2.4) with 4% desaturation hypopnea criteria. A total of 78 subjects were recruited. Of these, 45% had AHI < 5; 18% had AHI 5–15; 19% had AHI 15–30; 18% had AHI ≥ 30. The Belun apnea-hypopnea index (bAHI) correlated well with the PSG-AHI (r = 0.888, P < 0.001). The Belun total sleep time (bTST) and PSG-TST had a high correlation coefficient (r = 0.967, P < 0.001). The accuracy, sensitivity, specificity in categorizing AHI ≥ 15 were 0.808 [95% CI, 0.703–0.888], 0.931 [95% CI, 0.772–0.992], and 0.735 [95% CI, 0.589–0.850], respectively. The use of beta-blocker/calcium-receptor antagonist and the presence of comorbidities did not negatively affect the sensitivity and specificity of BSP in predicting OSA. A diagnostic algorithm combining STOP-Bang cutoff of 5 and bAHI cutoff of 15 events/h demonstrated an accuracy, sensitivity, specificity of 0.938 [95% CI, 0.828–0.987], 0.944 [95% CI, 0.727–0.999], and 0.933 [95% CI, 0.779–0.992], respectively, for the diagnosis of moderate to severe OSA. BSP is a promising testing tool for OSA assessment and can potentially be incorporated into clinical practices for the identification of OSA. Trial registration: ClinicalTrial.org NCT03997916 https://clinicaltrials.gov/ct2/show/NCT03997916?term=belun+ring&draw=2&rank=1

Author(s):  
Satoru Tsuiki ◽  
Takuya Nagaoka ◽  
Tatsuya Fukuda ◽  
Yuki Sakamoto ◽  
Fernanda R. Almeida ◽  
...  

Abstract Purpose In 2-dimensional lateral cephalometric radiographs, patients with severe obstructive sleep apnea (OSA) exhibit a more crowded oropharynx in comparison with non-OSA. We tested the hypothesis that machine learning, an application of artificial intelligence (AI), could be used to detect patients with severe OSA based on 2-dimensional images. Methods A deep convolutional neural network was developed (n = 1258; 90%) and tested (n = 131; 10%) using data from 1389 (100%) lateral cephalometric radiographs obtained from individuals diagnosed with severe OSA (n = 867; apnea hypopnea index > 30 events/h sleep) or non-OSA (n = 522; apnea hypopnea index < 5 events/h sleep) at a single center for sleep disorders. Three kinds of data sets were prepared by changing the area of interest using a single image: the original image without any modification (full image), an image containing a facial profile, upper airway, and craniofacial soft/hard tissues (main region), and an image containing part of the occipital region (head only). A radiologist also performed a conventional manual cephalometric analysis of the full image for comparison. Results The sensitivity/specificity was 0.87/0.82 for full image, 0.88/0.75 for main region, 0.71/0.63 for head only, and 0.54/0.80 for the manual analysis. The area under the receiver-operating characteristic curve was the highest for main region 0.92, for full image 0.89, for head only 0.70, and for manual cephalometric analysis 0.75. Conclusions A deep convolutional neural network identified individuals with severe OSA with high accuracy. Future research on this concept using AI and images can be further encouraged when discussing triage of OSA.


2011 ◽  
Vol 2011 ◽  
pp. 1-6 ◽  
Author(s):  
Eileen R. Chasens ◽  
Susan M. Sereika ◽  
Martin P. Houze ◽  
Patrick J. Strollo

Objective.This study examined the association between obstructive sleep apnea (OSA), daytime sleepiness, functional activity, and objective physical activity.Setting.Subjects (N=37) being evaluated for OSA were recruited from a sleep clinic.Participants. The sample was balanced by gender (53% male), middle-aged, primarily White, and overweight or obese with a mean BMI of 33.98 (SD=7.35;median BMI=32.30). Over 40% reported subjective sleepiness (Epworth Sleepiness Scale (ESS) ≥10) and had OSA (78% with apnea + hypopnea index (AHI) ≥5/hr).Measurements.Evaluation included questionnaires to evaluate subjective sleepiness (Epworth Sleepiness Scale (ESS)) and functional outcomes (Functional Outcomes of Sleep Questionnaire (FOSQ)), an activity monitor, and an overnight sleep study to determine OSA severity.Results.Increased subjective sleepiness was significantly associated with lower scores on the FOSQ but not with average number of steps walked per day. A multiple regression analysis showed that higher AHI values were significantly associated with lower average number of steps walked per day after controlling patient's age, sex, and ESS.Conclusion.Subjective sleepiness was associated with perceived difficulty in activity but not with objectively measured activity. However, OSA severity was associated with decreased objective physical activity in aging adults.


SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A376-A377
Author(s):  
Amy K Licis ◽  
Gabriel Davis ◽  
Sarah Eisenstein ◽  
Heather Lugar ◽  
Tamara Hershey

Abstract Introduction Wolfram syndrome is a rare disorder associated with diabetes mellitus, diabetes insipidus, optic nerve atrophy, hearing and vision loss, and neurodegeneration. Sleep complaints are common but have not been studied with objective measures. Our goal was to assess rates of sleep apnea and objective and self-reported measures of sleep quality, and to determine the relationship of sleep pathology to other clinical variables in Wolfram syndrome patients. Methods Genetically confirmed Wolfram syndrome patients were evaluated at the 2015 and 2016 Washington University Wolfram Syndrome Research Clinics. Patients wore an actigraphy device and a type III ambulatory sleep study device and completed the Epworth Sleepiness Scale (ESS), the Pittsburgh Sleep Quality Index (PSQI) and/or the Pediatric Sleep Questionnaire (PSQ). PSQI and PSQ questionnaire data were compared to a previously collected group of controls. Patients were characterized clinically with the Wolfram Unified Rating Scale (WURS) and a subset underwent magnetic resonance imaging (MRI) for brain volume measurements. Results Twenty-one patients were evaluated ranging from age 8.9 - 29.7 years. Five of 17 (29%) adult patients fit the criteria for obstructive sleep apnea (OSA; apnea-hypopnea index [AHI] ≥ 5) and all 4 of 4 (100%) children aged 12 years or younger fit the criteria for obstructive sleep apnea (AHI’s ≥1). Higher AHI was related to greater disease severity (higher WURS Physical scores). Higher mixed apnea scores were related to lower brainstem and cerebellar volumes. Patients’ scores on the PSQ were higher than those of controls, indicating greater severity of childhood obstructive sleep-related breathing disorders. Conclusion Wolfram syndrome patients had a high rate of OSA. Further study would be needed to assess how these symptoms change over time. Addressing sleep disorders in Wolfram syndrome patients would likely improve their overall health and quality of life. Support (If Any) This work was supported by the NICHD (HD070855; Hershey, PI) and supported by CTSA (UL1 RR024992) and Diabetes Research Center (DK 020579).


Author(s):  
Silvana P. Souza ◽  
Ronaldo B. Santos ◽  
Itamar S. Santos ◽  
Barbara K. Parise ◽  
Soraya Giatti ◽  
...  

Objective: To elucidate the independent associations of obstructive sleep apnea (OSA) and sleep duration (SD) as well as the potential inflammatory and metabolic mediators on carotid intima-media thickness (CIMT) in a large cohort of adults. Approach and Results: Consecutive participants from the ELSA-Brasil performed a clinical evaluation, sleep study, 1-week actigraphy for defining SD and CIMT using standard techniques. Gamma regression models were used to explore the association between OSA and SD with CIMT. Mediation analysis was performed using the mediation R package. A total of 2009 participants were included in the main analysis. As compared with no OSA (apnea-hypopnea index [AHI] <5 events/hour; n=613), patients with mild (AHI, 5–14.9; n=741), moderate (AHI, 15–29.9; n=389), and severe OSA (AHI ≥30 events/hour; n=266) presented a progressive CIMT increase (0.690 [0.610–0.790], 0.760 [0.650–0.890], 0.810 [0.700–0.940], and 0.820 [0.720–0.958] mm; P <0.001). In contrast, CIMTs were similar for those with SD <6 hours (0.760 [0.650–0.888]), 6 to 8 hours (0.750 [0.640–0.880]) and >8 hours (0.740 [0.670–0.900]). All forms of OSA were independently associated with CIMT (mild: β: 0.019, SE 0.008; P =0.022; moderate: β: 0.025, SE 0.011; P =0.022; severe OSA: β: 0.040, SE 0.013; P =0.002). Moreover, the association of AHI with CIMT was mediated by increased C-reactive protein and triglycerides ( P <0.01). SD did not interact with OSA in the association with CIMT. Conclusions: OSA is independently associated with increased CIMT in a dose-response relationship. This association is partially mediated by inflammation and dyslipidemia. In contrast, SD is not associated nor interacted with OSA to increase CIMT.


Author(s):  
Min Ru Chee ◽  
Jesse Hoo ◽  
Renata Libianto ◽  
Stella M. Gwini ◽  
Garun Hamilton ◽  
...  

Several studies have demonstrated a bidirectional relationship between obstructive sleep apnea and primary aldosteronism (PA); however, many of these studies are limited to patients with known obstructive sleep apnea, hypertension, or PA. We evaluated the role of screening for PA in all patients referred for a diagnostic sleep study without selecting for prior diagnoses with these conditions. Plasma aldosterone and renin concentration were measured after an overnight polysomnography. Blood pressure was measured at the sleep center for all patients, while a proportion underwent 24-hour blood pressure monitoring. Of the 85 participating patients, 2 (2.4%) were identified to have likely PA based on an elevated aldosterone:renin ratio and/or clinical characteristics. Another 10 (11.8%) were identified to have possible PA based on their low or normal plasma renin concentration despite taking antihypertensive medications that are known to elevate renin. In participants with both obstructive sleep apnea and hypertension (n=40), the prevalence of likely or possible PA was 30%. However, there was no correlation between aldosterone, rennin, or aldosterone:renin ratio and the apnea-hypopnea index using multiple regression analysis adjusted for interfering medications and hypertension status. The observed high prevalence of possible PA among those with both hypertension and obstructive sleep apnea suggests that they should be routinely screened for PA.


Author(s):  
Archwin Tanphaichitr ◽  
Pitchayanan Chuenchod ◽  
Kitirat Ungkanont ◽  
Wish Banhiran ◽  
Vannipa Vathanophas ◽  
...  

Objective: Obstructive sleep apnea (OSA) is highly prevalent in children and requires an expensive and relatively unavailable sleep study for diagnosis. This study was undertaken to translate the previously validated OSA screening tool (POSAST) to the Thai language and assess its accuracy and test-retest reliability in at-risk symptomatic children. Study design: Prospective cross-sectional cohort study Methods: Pediatric patients clinically referred for suspected OSA who underwent overnight polysomnography (PSG) were recruited, and caregivers completed the Thai version of the POSAST. The same questionnaire was completed again after 2-4 weeks. Results: One hundred and ten subjects completed the study. The mean age was 8.4±2.9 years. The mean apnea-hypopnea index (AHI) was 10.9±11.9 events/hour. Test-retest reliability (Pearson correlation coefficient = 0.96, P<0.001) and internal consistency (Cronbach’s alpha coefficient = 0.82, P<0.001) between each question were excellent. A cumulative equation-derived score cut-off of 1.9 yielded 78.4% sensitivity and 50.0% specificity, while a numerical additive score cut-off of 8 corresponded to 81.1% sensitivity and 52.8% specificity for diagnosing moderate and severe OSA (AHI ≥5 events per hour) Conclusion: The internal consistency and reproducibility of the Thai version of the POSAST are satisfactory, display acceptable validity, and the instrument can be used for screening symptomatic Thai children for OSA.


2021 ◽  
Vol 10 (16) ◽  
pp. 3746
Author(s):  
Ewa Olszewska ◽  
Piotr Fiedorczuk ◽  
Adam Stróżyński ◽  
Agnieszka Polecka ◽  
Ewa Roszkowska ◽  
...  

Surgical techniques for obstructive sleep apnea syndrome (OSAS) constantly evolve. This study aims to assess the effectiveness and safety of a new surgical approach for an OSAS pharyngoplasty with a dorsal palatal flap expansion (PDPFEx). A total of 21 participants (mean age 49.9; mean BMI 32.5) underwent a type III sleep study, an endoscopy of the upper airways, a filled medical history, a visual analog scale for snoring loudness, an Epworth Sleepiness Scale, and a Short Form Health Survey-36 questionnaire. A follow-up re-evaluation was performed 11 ± 4.9 months post-operatively. The study group (4 with moderate, 17 with severe OSAS) showed an improvement in all measured sleep study characteristics (p < 0.05), apnea-hypopnea index (pre-median 45.7 to 29.3 post-operatively, p = 0.009, r = 0.394), oxygen desaturation index (pre-median 47.7 and 23.3 post-operatively, p = 0.0005, r = 0.812), mean oxygen saturation (median 92% pre-operatively and median 94% post-operatively, p = 0.0002, r = 0.812), lowest oxygen saturation (p = 0.0001, r = 0.540) and time of sleep spent with blood oxygen saturation less than 90% (p = 0.0001, r = 0.485). The most commonly reported complications were throat dryness (11 patients) and minor difficulties in swallowing (5 patients transient, 3 patients constant). We conclude that a PDPFEx is a promising new surgical method; however, further controlled studies are needed to demonstrate its safety and efficacy for OSAS treatment in adults.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A270-A270
Author(s):  
E Viteri ◽  
V McGhee ◽  
J V Tackett ◽  
A X Freire

Abstract Introduction Treatment efficacy of obstructive sleep apnea (OSA) depends on controlling respiratory events for the majority of sleep time. Apnea-hypopnea index (AHI) and adherence are frequently used to determine efficacy of continuous positive airway (CPAP) therapy, but fail to capture the effect of residual events during untreated sleep-time. The Sleep Adjusted Residual AHI (SARAHI) consolidates treated and untreated AHI and CPAP use into a single number: SARAHI = [(Untreated AHI × Hours Untreated) + (Treated AHI × Hours Treated)] / (Total Sleep Hours). We attempted to determine the clinical applicability of this index as a determinant of OSA control and its relation with sleepiness improvement. Methods As part of a quality assessment project, a convenience sample was haphazardly collected from a database of patients initiated on CPAP in a Veteran’s Affairs Hospital. Patients initiating treatment after OSA diagnosis by polysomnogram or portable sleep study were included. Information from a CPAP-download within a year of diagnosis and Epworth Sleepiness Scale (ESS) at diagnosis and follow-up were collected. SARAHI was calculated using two different measures of “total sleep hours”: 8 hours (SARAHI-8hrs) or recorded sleep time during sleep study (SARAHI-PSG). Results Thirteen patients (12 male) with a mean age of 53.3 years were included. At diagnosis, mean AHI was 26.0 events/hour and ESS was 14.6. At follow-up, CPAP mean adherence was 338 min and average use was 61.8% of days; mean residual AHI was 4.4 events/hour and mean ESS 13.7. SARAHI-8hrs was 16.0 events/hour and SARAHI-PSG was 13.8 events/hr. Simple linear regression did not show a significant correlation between ESS improvement and either of these indexes or with improvement in AHI. Conclusion SARAHI showed no correlation with ESS in this small sample. We recommend further research as SARAHI is simple to use and provides more information than currently used parameters. Support None


Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Chieh Yang Koo ◽  

Objective: Obstructive sleep apnea (OSA) is an increasing yet under-recognized risk factor for acute coronary syndrome (ACS). We sought to determine the effects of ethnicity on the prevalence of OSA in patients presenting with ACS who participated in an overnight sleep study. Methods: A pooled analysis using patient-level data from the ISAACC Trial and Sleep and Stent Study was performed. In both of these studies, patients presenting with ACS were recruited to undergo an overnight sleep study. OSA was defined as an apnea-hypopnea index (AHI) of ≥15. A bivariate analysis of the factors affecting AHI and an age-adjusted analysis of the effect of BMI on sleep apnea according to ethnicity were conducted. Results: A total of 1961 patients were analyzed, including Spanish (53.6%, n=1050), Chinese (25.5%, n=500), Indian (12.0%, n=235), Malay (6.1%, n=119), Brazilian (1.7%, n=34) and Burmese (1.2%, n=23) populations. Significant differences in body mass index (BMI) were found among the various ethnic groups, averaging from 25.3 kg/m2 for Indians and 25.4 kg/m2 for Chinese to 28.6 kg/m2 for Spaniards. The prevalence of OSA was highest in the Spanish (63.1%), followed by the Chinese (50.2%), Malay (47.9%), Burmese (43.5%), Brazilian (41.2%), and Indian patients. Figure 1 shows the forest plot of the prevalence of OSA among the various ethnicities. A significant interaction between BMI and ethnicity to predict OSA was observed. The estimated odds ratio of BMI on OSA was highest in the Chinese population (1.17; 95% confidence interval: 1.10-1.24), but was not significant in the Spanish, Burmese or Brazilian populations. The area under the curve for the Asian patients (ranging from 0.6365 to 0.6692) was higher than that for the Spanish patients (0.5161). Conclusion: There was significant ethnic variation in the prevalence of OSA in patients with ACS, and the magnitude of the effect of BMI on OSA was greater in the Chinese population than in the Spanish patients.


2017 ◽  
Vol 43 (6) ◽  
pp. 456-463 ◽  
Author(s):  
Ricardo Luiz de Menezes Duarte ◽  
Lorena Barbosa de Moraes Fonseca ◽  
Flavio José Magalhães-da-Silveira ◽  
Erika Aparecida da Silveira ◽  
Marcelo Fouad Rabahi

ABSTRACT Objective: To validate the Portuguese-language version of the STOP-Bang (acronym for Snoring, Tiredness, Observed apnea, high blood Pressure, Body mass index, Age, Neck circumference, and Gender) questionnaire, culturally adapted for use in Brazil, as a means of screening for obstructive sleep apnea (OSA) in adults. Methods: In this validation study, we enrolled patients ≥ 18 years of age, recruited between May of 2015 and November of 2016. All patients completed the STOP-Bang questionnaire and underwent overnight polysomnography. To evaluate the performance of the questionnaire, we used contingency tables and areas under the (receiver operating characteristic) curve (AUCs). Results: We included 456 patients. The mean age was 43.7 ± 12.5 years, and 291 (63.8%) of the patients were male. On the basis of the apnea-hypopnea index (AHI), we categorized OSA as mild/moderate/severe (any OSA; AHI ≥ 5 events/h), moderate/severe (AHI ≥ 15 events/h), or severe (AHI ≥ 30 events/h). The overall prevalence of OSA was 78.3%, compared with 52.0%, and 28.5% for moderate/severe and severe OSA, respectively. The most common score on the STOP-Bang questionnaire was 4 points (n = 106), followed by 3 points (n = 85) and 5 points (n = 82). An increase in the score was paralleled by a reduction in sensitivity with a corresponding increase in specificity for all AHI cut-off points. The AUCs obtained for the identification of any, moderate/severe, and severe OSA were: 0.743, 0.731, and 0.779, respectively. For any OSA, the score on the questionnaire (cut-off, ≥ 3 points) presented sensitivity, specificity, and accuracy of 83.5%, 45.5%, and 75.2%, respectively. Conclusions: The STOP-Bang questionnaire performed adequately for OSA screening, indicating that it could be used as an effective screening tool for the disorder.


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