bluuebunny/crossref_metadata_2025 huggingface dataset:
0463 Cluster Analysis in Perimenopausal and Menopausal Women with Insomnia
Authors: Srisawart P , Wang L , Bena J , Drerup M , Mehra R , Barwick F , Moul D
Published: May 2020

Introduction

Women in perimenopause or menopause report higher rates of insomnia, with depression, pain and sleep apnea common comorbidities. Identifying clinically relevant subtypes of women with similar symptom patterns might help target treatment more precisely and optimize outcomes more successfully.

Methods

Participants were woman >50 years with insomnia (ISI>10) who were recruited from 12,108 patients visiting the Cleveland Clinic Sleep Disorders Center between 2008-2012. Patients completed questionnaires at initial clinic visit, and comorbidity data was extracted from medical records. K-method cluster analysis of cross-sectional data with PAM (portioning around medoids) was performed to identify clusters of patients based on insomnia (ISI), depression (PHQ2), and pain (EQ5D) symptoms as well as presence or absence of diabetes or sleep disorders (OSA, RLS). Silhouette widths and visualization using factoextra in R identified the optimal number of clusters. Characteristics of each cluster were compared using Pearson chi-square, Kruskal-Wallis or ANOVA models in SAS.

Results

Sample comprised 374 women. Average age was 60.5 years and 81.6% were White. A three-cluster solution was the most plausible. Clusters with mild (N=155, ISI=14.1±1.9), moderate (N=131, ISI=19.7±1.6) and severe (N=88, ISI=25.4±1.9) insomnia showed significant differences in characteristic. Clusters differed on depression level (PHQ2≥4 mild 19%, moderate 38%, severe 60%), and pain (ED5D=3 mild 3%, moderate 12%, severe 23%). Although the mild insomnia cluster reported better overall health, it showed higher rates of OSA compared to the moderate insomnia cluster, along with significantly older age and higher BMI.

Conclusion

Perimenopausal and menopausal women divided into three clusters with mild, moderate and severe insomnia, with levels of reported depression and pain symptoms increasing with insomnia symptoms. Clusters also differed on age, BMI and prevalence of OSA, suggesting that specific symptom clusters might indicate more precise and targeted treatment of common comorbid conditions during menopause transition.

Support
0466 Evolution of Nonrestorative Sleep and Its Interactions with Insomnia Symptoms in a Longitudinal Survey of the American Population
Authors: Ohayon M M
Published: May 2020

Introduction

Nonrestorative sleep (NRS) is one of the sleep disturbances that is under-appreciated. Some studies have set its prevalence at around 10% of the general population but definitions are heterogenous. Despite its frequency, studies that paid attention to that symptom are disparate and have often taken many routes. Our aim is to examine its prevalence, its incidence and its predictive factors.

Methods

The initial study was carried with 15,929 individuals from 15 US States. The longitudinal study was carried on in eight of these states. A total of 12,218 subjects were interviewed by phone during the first wave (W1) and 10,930 at the second wave (W2) three years apart. The analyses were carried on the subjects who participated in both interviews (N=10,930). NRS was assessed using a series of five questions. The global score determined the presence/absence of NRS.

Results

A total of 14.7% (CI95%: 14%-15.4%) reported NRS at W1. At follow-up, 13.1% (CI95%: 12.5%-13.7%) reported NRS. The incidence per year was 2.3%. NRS was chronic in 28.9% of cases. NRS occurred alone (i.e. without any other insomnia symptoms) in 5% of the sample at W1 and 3.6% at W2. 22.2% of those with NRS alone at W1 reported other insomnia symptoms at W2. Sleep duration was at least 6h30 in 81.6% of NRS alone cases at W1 and 76.5% at W2. Daytime repercussions were reported by 66.2% of NRS alone at W1 and 52.8% at W2. NRS alone (RR: 2.4) or in combination with insomnia symptoms (RR: 3.4) was one of the strongest predictors for developing a Major Depressive Disorder at W2.

Conclusion

NRS is a sleep disturbance that has some unique features that distinguish it from insomnia symptoms. Nonetheless, it can have a profound impact on daily life and can lead to further difficulties in other areas if not addressed properly.

Support

Arrillaga Foundation
0485 Experience and Attitudes About Prescription Insomnia Medications: Results from an Online Survey of Individuals with Sleeping Difficulties and Insomnia
Authors: Sheehan D , Zee P C , Steinberg K , Ginovker A , Atkins N , Moline M
Published: May 2020

Introduction

This survey explored several topics related to living with insomnia/sleeping difficulties. Reported here are patient experience, attitudes, and perspectives about and understanding of prescription medications for insomnia.

Methods

The online survey was conducted by The Harris Poll in the U.S. between February 14 and March 8, 2019. Survey respondents (“patients”) were adults age ≥18y who had been diagnosed with insomnia (11% of respondents), or had experienced sleeping difficulties (defined as difficulty falling asleep or staying asleep for ≥3 nights/week for ≥3 months; 89% of respondents). Raw survey data were weighted by relevant factors to be representative of the total U.S. adult population with insomnia/sleeping difficulties.

Results

Among 525 patients (mean age 46y; 55% female) who completed the survey, 83 were currently using prescription medication, 45 used prescription medication previously, and 397 had no prescription medication history. The majority of all patients “somewhat” or “strongly” agreed they were “concerned about the safety risks of sleep medications currently available by prescription” (79%); felt “there have got to be better medications that help people sleep” (74%); and that they “wish there were more medications to choose from” (67%). Within the group of respondents with current/past prescription history (n=128), 63%, 23%, and 14% had tried 1-2, 3-4, or ≥5 different prescription medications, respectively. Among reasons for missing/skipping a dose, ~20% of respondents with current/past prescription history selected for each response that they “do not feel my medication is effective”; “do not like the way my medication makes me feel when I wake up the next morning”; and “prefer not to take my medication every night unless absolutely necessary.”

Conclusion

Results from this online survey provide insights into patient attitudes toward pharmacotherapy and indicate that a significant number of insomnia patients feel dissatisfied with medication treatment options, including concerns regarding safety and side effects.

Support

Eisai Inc.
0488 Pilot Evaluation of an Actigraphy Watch Compared to Polysomnography in a Clinical Trial of Suvorexant for Treating Insomnia in Patients with Alzheimer’s Disease
Authors: Svetnik V , Wang T , Ceesay P , Snyder E , Ceren O , Bliwise D , Budd K , Hutzelmann J , Stevens J , Lines C , Michelson D , Herring W
Published: May 2020

Introduction

Suvorexant, an orexin receptor antagonist, improved total sleep time (TST) in a sleep laboratory polysomnography (PSG) study of patients with Alzheimer’s disease (AD) and insomnia. The study included a pilot evaluation of an actigraphy watch for continuously recording patient’s sleep and daytime activity. We report on the utility of the watch for assessing sleep in relation to gold-standard PSG.

Methods

This was a randomized, double-blind, 4-week trial (ClinicalTrials.gov NCT02750306). Participants who met diagnostic criteria for both probable AD dementia and insomnia were randomized to suvorexant 10-20mg or placebo. Overnight sleep laboratory PSG was performed on 3 nights: screening, baseline, and Night-29 (last dose). An actigraphy watch (Garmin vívosmart® HR) was worn continuously by the patient. Separate analyses were performed for PSG and watch. We compared treatment effects on change-from-baseline in PSG-TST at Night-29 and WATCH-TST at Week-4 (average TST per night over Week-4). We also analyzed Night-29 data only with watch data restricted to the PSG recording time.

Results

A total of 274 participants were included in the Night-29 PSG analysis (suvorexant=135, placebo=139) and 223 in the Week-4 watch analysis (suvorexant=113, placebo=110). Suvorexant improved Night-29 PSG-TST by 28 minutes versus placebo (p=0.001) and Week-4 WATCH-TST by 17 minutes versus placebo (p=0.144). In the subgroup who had usable data for both assessments at Night-29 (suvorexant=57, placebo=50), the watch overestimated TST compared to PSG (e.g. placebo baseline scores = 412 minutes for WATCH-TST and 265 minutes for PSG-TST) and underestimated change-from-baseline treatment effects: the suvorexant versus placebo difference was 35 minutes for PSG-TST (p=0.057) and 20 minutes for WATCH-TST (p=0.405).

Conclusion

The watch was less sensitive than PSG for evaluating treatment effects on TST. However, results obtained with the watch were directionally similar to PSG in indicating a benefit of suvorexant versus placebo for improving TST in AD patients with insomnia.

Support

Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA
0506 Short and Long-Term Effects of Trazodone vs. Cognitive-Behavioral Treatment on EEG Power During NREM Sleep in Chronic Insomnia
Authors: Li Y , Vgontzas A , Fernandez-Mendoza J , Fang J , Puzino K , Basta M , Bixle E
Published: May 2020

Introduction

Both trazodone and cognitive-behavioral treatment of insomnia (CBT-I) are widely used to treat patients with chronic insomnia. Animal studies have shown that trazodone increases slow wave sleep (i.e., increased EEG delta power). However, no study to date has compared the long term effects of trazodone vs. CBT-I on spectral EEG activity during sleep in humans.

Methods

We addressed this question in a sample of 19 middle-aged men and women who received either trazodone (n=8) or CBT-I (n=11) treatment for 9 months. We examined delta (0.39-3.91 Hz), theta (4.30-7.81 Hz), alpha (8.20-11.72 Hz), sigma (12.11-14.84 Hz), beta (15.23-35.16 Hz) and gamma (35.55-49.61 Hz) relative power during NREM sleep after 3-month and 9-month of treatment.

Results

Compared to CBT-I, trazodone significantly increased relative delta power (p=0.05) and decreased relative sigma (p=0.004) and beta (p=0.05) power during NREM sleep across 9-month treatment. Furthermore, compared to CBT-I, trazodone significantly increased relative delta power (3-month: Δ2.00 ± 3.27 vs. Δ-2.63 ± 5.88, p=0.006, Cohen’s d=0.93; 9-month: Δ2.63 ± 4.11 vs. Δ-1.10 ± 3.93, p=0.006, Cohen’s d=0.93), while decreased relative sigma power (3-month: Δ-1.55 ± 1.75 vs. Δ0.90 ± 1.82, p=0.009, Cohen’s d=1.37; 9-month: Δ-1.33 ± 1.95 vs. Δ1.05 ± 1.79, p=0.014, Cohen’s d=1.28) during NREM sleep in 3-month and 9-month, respectively. Relative beta power (3-month: Δ-0.85 ± 0.60 vs. Δ0.35 ± 1.14, p=0.016, Cohen’s d=1.03;) was significantly decreased in 3-month treatment in trazodone group compared to CBT-I. Moreover, across 9-month treatment, relative sigma (p=0.040, ω p2 = 0.29) and beta (p=0.021, ω p2 = 0.12) power during NREM sleep were significantly decreased within trazodone group, while relative sigma power (p=0.096, ω p2 = 0.230) increased within CBT-I group.

Conclusion

Our findings suggest that trazodone, but not CBT-I, even after 9-month of use increases slow wave sleep and decreases high-frequency EEG power during NREM sleep. This effect may explain the long-term usefulness of trazodone in chronic insomnia patients with physiologic hyperarousal i.e., activation of the stress system. Further studies should examine this effect in large samples of insomnia.

Support

NIH C06 RR016499, UL1 TR 000127
0517 Integrated Cognitive Behavioral Therapy (CBT) and Mindfulness Group Treatment Protocol for Insomnia and Chronic Pain
Authors: Barwick F , Poupore-King H , You D
Published: May 2020

Introduction

Chronic pain and insomnia are highly comorbid, and CBT is a recommended treatment for both. CBT protocols that treat these conditions together, however, show improvements in sleep but not pain. As mindfulness, an acceptance-based approach, has been used successfully to treat chronic pain, integrating mindfulness into a combined CBT treatment protocol may help improve outcomes for chronic pain as well as insomnia.

Methods

An integrated CBT/Mindfulness weekly 6-session group protocol for chronic pain and insomnia was developed and piloted. Treatment components included education about pain neuroscience as well as sleep and circadian biology, relaxation, time-based pacing, tracking 24-hour time in bed, sleep compression, stimulus control, cognitive reframing, and mindfulness. Pre-post measures evaluating insomnia symptoms, sleep hygiene, pain acceptance, pain catastrophizing, and unhelpful beliefs about sleep and pain were analyzed using frequency analyses and paired sample t-tests.

Results

Two groups were completed for a total of 16 participants, 94% of whom attended at least 5 sessions. Average age was 56 years, 75% of the sample was female, 88% were White, 6% Asian, and 6% Latino. Post-treatment outcomes showed significant improvement in insomnia symptoms (ISI Mdiff=6.6, SDdiff=5.3, p=.01, ES=1.2), sleep hygiene (SHI Mdiff=3.8, SDdiff=4.6, p=.02, ES=.83), pain acceptance (CPAQ Mdiff=5.2, SDdiff=7.8, p=.03, ES=.67), pain catastrophizing (PCS Mdiff=5.1, SDdiff=7.5, p=.03, ES=.68), and unhelpful beliefs about sleep (DBAS Mdiff=31.4, SDdiff=21.2, p=.009, ES=1.5) and pain (PBAS Mdiff=11.6, SDdiff=10.7, p=.02, ES=1.1).

Conclusion

An integrated CBT/Mindfulness group protocol for chronic pain and insomnia showed significant improvements in post-treatment sleep and pain measures. As previous combined CBT-only protocols showed pre-post improvement in sleep but not pain, the current study demonstrates that including mindfulness might improve outcomes for chronic pain. Future studies should compare CBT protocols for chronic pain and insomnia with and without mindfulness to determine the clinical benefits of including an acceptance-based component.

Support

Poster presented as part of collaborative conversation with Skye Margolies, PhD, Department of Anesthesiology, University of North Carolina School of Medicine.
0518 Sleep Facilitation by Artificial Carbonated Bathing in Healthy Elderly; EEG, Core, Proximal, and Distal Temperature Evaluations
Authors: Uemura S I , Kanbayashi T , Imanishi A , Terui Y , Satake M , Shioya T , Nishino S
Published: May 2020

Introduction

Bathing, especially with hot spring with various mineral compositions, is known to facilitate / improve sleep by warming the body. Artificial carbonated bathing (ACB) is known to keep the body warm too. Previous our study examined that ACB before sleep more specifically affected body temperature and sleep on healthy young subjects. In this study, we evaluated the effects of usual (plain hot water; PH) and artificial carbonated bathing, on sleep using clinical thermometers and EEG in healthy elderly subjects.

Methods

Nine healthy elderly women (average age 71.3 years old) were divided into 2 groups ACB (858 ppm, Awacomachi, Danrei Co.) and PH with a week interval. Subjects soaked in the bath (38 C degree) deep enough their chests touched the water for 10 min. From the time they finished bathing to the next morning, we measured their distal skin temperature (top side of the foot), proximal skin temperature (lower part of the clavicle) and EEG using a single channel portable device (Brain wave sensor, Proassist Co.). Subjects were told to sleep from 23:00-6:00. As the same time, subjects were examined with visual analog scale (VAS) and clinical flicker fusion test (CFF).

Results

There was no significant difference in body temperature (proximal, distal, distal-proximal temperature gradient: DPG) before and during sleep between ACB and PH. The condition of the ACB tended to have less light sleep compared to PH (150min vs 201min, p=0.08), but there was no significant difference in the SWS (44.1min vs 39.1min, ns), EEG delta power analysis, VAS and CFF.

In the previous study, bathing was performed for 15 min at a water temperature of 40 C degree, but this condition was considered to be a high risk for the elderly. The reason why there was no significant difference in body temperature. The effects of ACB were not fully demonstrated due to changes in hot water temperature and bathing time.

Conclusion

The effect of ACB on the body temperature of healthy elderly people could not be confirmed. However, a tendency to reduce light sleep was observed.

Support

This work was supported by JSPS KAKENHI Grant Number JP19K11294
0538 What Happens After Prescription of Insomnia Medication Among Older Adults?
Authors: Jobe S L , Albrecht J S , Scharf S M , Johnson A M , Wickwire E M
Published: May 2020

Introduction

Despite consensus recommendations regarding need for caution and careful management, sedative hypnotic insomnia therapies remain commonly prescribed among older adults. Further, sleep medications are often prescribed in the absence of a thorough sleep history or evaluation. However, little is known about delivery of sleep-related care following prescription of insomnia medications. Thus, the purpose of this study was to characterize the course of sleep-related care following a prescription fill for insomnia medication among older adults.

Methods

Our data source was a random 5% sample of Medicare administrative claims data from 2006-2013. Insomnia medications were identified by searching the Part D prescription drug claims and included FDA-approved insomnia-related medication classes and drugs. Sleep disorders were operationalized using International Classification of Diseases, Ninth Revision, Clinical Modification codes. Descriptive analyses were performed to estimate the number of insomnia medication users who received sleep disorder diagnoses.

Results

A total of 33,252 Medicare beneficiaries without prior history of sleep disorders received at least one FDA-approved insomnia medication fill between 2006-2013. Of these, 43.2% (n=14,354) eventually received a sleep disorder diagnosis. Among those receiving a sleep diagnosis after being prescribed insomnia medication, insomnia was the most common disorder (71.0%; n=10,198). Further, 15.0% (n=2,149) of individuals who were prescribed insomnia medication received an obstructive sleep apnea diagnosis, 6.6% (n=947) were diagnosed with sleep disturbances, and 5.9% (n=845) were diagnosed with restless legs syndrome. Of those who received a sleep disorder diagnosis, 95.1% (n=13,649) were diagnosed with one sleep disorder, 4.5% (n=639) were diagnosed with two sleep disorders, and 0.4% (n=66) were diagnosed with three or more sleep disorders.

Conclusion

Fewer than half of Medicare beneficiaries prescribed FDA-approved sedative hypnotic insomnia medications ever received a formal sleep-related diagnosis. These results suggest that clinicians prescribe sedative hypnotics without thoroughly evaluating sleep complaints.

Support

This research was supported by an AASM Strategic Research Award from the AASM Foundation to the University of Maryland, Baltimore (PI: EMW).
0544 Reconsidering Stimulus Control: Activities in Bed Associated with Sleep-Related Outcomes
Authors: Phan S , Perlis M L , Hale L , Branas C , Killgore W D , Wills C C , Grandner M A
Published: May 2020

Introduction

The typical advice is that in order to avoid insomnia, people should avoid activities in bed other than sleep. Yet, activities such as reading and watching TV in bed are common.

Methods

Data were obtained from the Sleep and Health Activity, Diet, Environment, and Socialization (SHADES) Study, N=1,007 adults age 22-60. Sleep hygiene was assessed using items from the Sleep Practices and Attitudes Questionnaire (SPAQ), which asked whether respondents agree/disagree that they do the following in bed: Read, Watch TV, Eat, Work, Worry, and/or Argue. These were analyzed in relation to Insomnia Severity Index (ISI) score, Pittsburgh Sleep Quality Index (PSQI) score, Epworth Sleepiness Scale (ESS) score, Fatigue Severity Scale (FSS) score, and self-reported sleep duration (TST), sleep latency (SL), and wake after sleep onset (WASO). Covariates included age, sex, education, and income.

Results

Those that frequently engaged in activities were: reading (75%), watching TV (63%), eating (42%), working (32%), worrying (82%), and arguing (23%). Reading was associated with less WASO (B=-14min, p=0.02). Watching TV was associated with higher ISI (B=1.22, p=0.04), PSQI (B=1.04, p=0.007), and ESS (B=0.87, p=0.049), and less TST (B=-0.29, p=0.04). Eating was associated with higher ISI (B=1.75, p=0.01), PSQI (B=1.23, p=0.008), and FSS (B=4.36, p=0.002). Working was associated with higher ISI (B=1.82, p=0.019), PSQI (B=1.65, p=0.001), and ESS (B=1.78, p=0.002). Worrying was associated with higher ISI (B=7.34, p<0.0005), PSQI (B=4.40, p<0.0005), ESS (B=2.53, p=0.001), FSS (B=9.51, p<0.0005), and SL (B=19.39, p<0.0005), and less TST (B=-0.55, p=0.023). Arguing was associated with higher ISI (B=3.78, p<0.0005), PSQI (B=3.15, p<0.0005), ESS (1.47, p=0.023), and SL (B=10.97, p=0.013), and lower TST (B=-0.71, p=0.001).

Conclusion

Individuals who perform mentally distressing activities such as worrying and arguing experience especially worse sleep, and those who read in bed have fewer awakenings.

Support

The SHADES study was funded by R21ES022931. Dr. Grandner is supported by R01MD011600.
0551 Longitudinal Measurement Invariance of the Insomnia Severity Index in Veterans with Sleep Apnea
Authors: Wohlgemuth W , Fins A , Tutek J , Gonzalez A , Martinez-Garcia A , Satyanarayana S , Marchetti D , Wallace D
Published: May 2020

Introduction

The Insomnia Severity Index is a commonly used instrument to assess the presence of insomnia symptoms as well as an outcome measure following an intervention. Longitudinal measurement invariance is a necessary property of an assessment instrument when it is repeated over time. The validity of conclusions regarding change in the construct ‘insomnia severity’ depend on scale equivalence at each measurement timepoint. Assessment of measurement invariance of the ISI in sleep apnea patients has never been performed.

Methods

Veterans with sleep apnea (n=654; AHI=36±28; 93% male; age=52±12; BMI=33±6) completed the ISI on the night of their overnight PSG and again when they picked up their PAP device. Invariance was determined by imposing a series of more restrictive equivalence constraints on a 2-factor model of the ISI. The series of constraints tested for configural, weak, strong and strict invariance. Invariance testing was modeled with exploratory structural equation modeling in Mplus (v. 7.0).

Results

The 2-factor model that emerged from the analysis showed items relating to nighttime symptoms loading on factor 1 and daytime symptoms loading on factor 2. The sleep ‘satisfaction’ item, however, had weak but similar loadings on both factors. The increasingly restrictive constraints imposed on the model revealed no decrement in model fit (RMSEA=.039 to.043; CFI=.987 to .980; TLI=.981-.977; SRMR=.027-.041).

Conclusion

The ISI met strict criteria for longitudinal measurement invariance demonstrating that it is a valid instrument to be used in repeated measures study designs of insomnia in sleep apnea patients. Change over time on the ISI is not due to the changing measurement characteristics of the ISI but to true changes in the ‘insomnia severity’ construct.

Support

None
0555 The Relationship Between Sleep Efficiency and Apnoea Hypopnoea Index (AHI) in Adult Obese Males
Authors: Ankita A , Mehta B , Dutt N , Sharma P
Published: May 2020

Introduction

Prevalence of obesity is increasing worldwide. According to OECD 2017, the prevalence of obesity is 19.5% worldwide. Obesity leads to disturbed sleep due to complete or partial obstruction of upper airways i.e. obstructive sleep apnoea. This disturbed sleep leads to increased sympathetic discharge & further obesity and thus forms a vicious cycle of obesity disturbing sleep and sleep disturbance increasing obesity. The purpose of the present study was to correlate the sleep efficiency with apnoea hypopnea index (AHI) in adult obese males.

Methods

Nineteen adult obese males (26 years- 60 years), non-smokers were recruited for this cross-sectional study. The obesity criteria was taken as BMI ≥ 25 kg/m2. They underwent an overnight polysomnographic examination with total 68 channels and 32 EEG inputs. The episodes of apnea were defined as complete cessation of airflow for ≥10 s, and hypopnea consisted of a ≥30% reduction in oronasal airflow accompanied by a reduction in oxygen saturation measured by pulse oximetry of at least 4%. AHI was determined by the frequency of these events per hour during sleep time based on the results of the overnight polysomnography. Sleep efficiency index was calculated by dividing total duration of sleep stages (N1+ N2+ N3+ REM) by total time in bed.

Results

We tested for normality through Shapiro Wilk test and our data was found to be non-parametric. Hence Spearman correlation between sleep efficiency and AHI was performed. The correlation was non- significant with p value 0.1245 and r = - 0.365. The correlation of BMI with sleep efficiency was significant (p= 0.0195) with r value= -0.5303.

Conclusion

The results conclude that the sleep efficiency worsens with obesity. Although the correlation between AHI and sleep efficiency was not found significant, a negative r value indicates that the sleep efficiency decreases with increased obstructive events during sleep.

Support

All India Institute of Medical Sciences Jodhpur
0562 Differences in Upper Airway Soft Tissue Volumes Between African American and Caucasian Patients with Obstructive Sleep Apnea Using Magnetic Resonance Imaging
Authors: Webster J C , Keenan B , Schwab R J
Published: May 2020

Introduction

Research suggests greater obstructive sleep apnea (OSA) severity in African-Americans than Caucasians. However, the underlying mechanisms causing this ethnic disparity are unknown. To evaluate possible mechanisms, we compared the size of the tongue between African American and Caucasian OSA patients using magnetic resonance imaging (MRI), controlling for age, body mass index (BMI) and apnea-hypoxia index (AHI). Given prior evidence of more severe OSA in African Americans, we hypothesized these patients would have larger soft tissue volumes compared to Caucasians.

Methods

Upper airway soft tissue volumes, (total tongue, tongue fat, lateral walls, pterygoids, total soft tissue) were quantified using MRI and compared between Caucasian (n=133) and African American (n=175) patients with moderate OSA. Analyses were conducted using regression models controlling for age, sex, BMI and AHI.

Results

Among all OSA patients, African Americans had higher BMI than Caucasians (40.0±8.6 vs. 37.1±8.1 kg/m2, p=0.0024) and a higher proportion of females (66.3% vs. 36.1%; p<0.0001). There were no significant differences in age (p=0.143) or AHI (p=0.314). Controlling for these covariates, there were no differences between African American and Caucasian OSA patients in tongue fat volume (mean [95% confidence interval] difference = 479 [-3156, 4115] mm3; p=0.794). However, African Americans had a 13,286 (6,439, 20,132) mm3 larger total tongue volume compared to Caucasians (p=0.0002). Larger volumes in African Americans were also observed for the soft palate (p<0.0001), retropalatal lateral walls (p=0.003), pterygoid (p=0.034) and total soft tissue volume (p=0.0003).

Conclusion

African Americans were observed to have larger volumes of the tongue, soft palate, retropalatal lateral walls, pterygoids and total soft tissue volume compared to Caucasians, although there were no differences in AHI and tongue fat volume. The study contributes to the overall understanding of ethnic-specific pathology of OSA and can potentially influence how African Americans and Caucasians are diagnosed and treated specifically for the disease.

Support
0567 Hypoxic Burden and Apnea-Hypopnea Duration in Patients with Positional Obstructive Sleep Apnea
Authors: Ramzy J A , Rengan R , Mandal M , Rani S , Vega Sanchez M E , Jaffe F , D’Alonzo G , Shariff T , Chatila W , Weaver S , Krachman S
Published: May 2020

Introduction

Recently, the measurement of the hypoxic burden and apnea-hypopnea duration has been shown to correlate with mortality in patients with obstructive sleep apnea (OSA). We hypothesized that in patients with mild positional OSA (apnea-hypopnea index [AHI] < 5 events/hr in the non-supine position) the hypoxic burden would be increased and apnea-hypopnea duration shortened and similar to patients with non-positional OSA.

Methods

Fourteen patients with positional OSA and 24 patients non-positional OSA with similar severity of OSA based on the respiratory event index (REI) were included. All patients had a home sleep apnea test for suspected OSA. The hypoxic burden was calculated by the multiplication of REI and the mean area under the desaturation curves.

Results

Thirty-eight patients [12 (35%) males, 50±12 yrs, BMI 35±7 kg/m2, Epworth Sleepiness Scale (ESS) 11±8, REI 10±3 events/hr, apnea-hypopnea duration 19±4 sec, mean SaO2 94±2%, lowest SaO2 79±8%, % total sleep time (TST) SaO2 < 90% 11±16%, hypoxic burden 30±17 %min/hr] completed the study. Fourteen patients [9 (64%) males, 46±14 yrs, BMI 31±6 kg/m2, ESS 7±5, REI 9±3 events/hr, mean SaO2 94±2%, lowest SaO2 81±6%, %TST SaO2 < 90% 4±6%] had positional OSA (supine REI 16±7 events/hr, non-supine REI 3±1 events/hr) and 24 patients had non-positional OSA [3 (13%) males, 52±10 yrs, BMI 38±7 kg/m2, ESS 12±9, REI 10±3 events/hr, mean SaO2 94±2%, lowest SaO2 77±9%, %TST SaO2 < 90% 14±19%]. The hypoxic burden was elevated in both the positional and non-positional OSA patients with no difference between the groups (26±19 %min/hr and 32±15 %min/hr, respectively, p=0.13). The apnea-hypopnea duration was similar in positional and non-positional OSA patients (20±3 sec and 18±4 sec, respectively, p=0.08 sec).

Conclusion

In patients with mild positional OSA the hypoxic burden, which has been associated with cardiovascular mortality, is elevated and similar to patients with non-positional OSA.

Support

None
0573 Screening for Obstructive Sleep Apnea at Home Based on Deep Learning Features Derived from Respiration Sounds
Authors: Romero H E , Ma N , Hill E A , Brown G J
Published: May 2020

Introduction

Analysis of sleep breathing sounds has been employed to screen obstructive sleep apnea (OSA). However, most current methods rely on specialized equipment (e.g., tracheal microphones), require additional physiological data (e.g., oxygen saturation), are rule-based, or are trained on data collected in-lab, making them less suitable for home use. In this study, deep learning methods were leveraged to explore the hypothesis that sleep audio recordings collected via smartphones can be used alone to screen for OSA by exploiting the temporal pattern of respiration sounds.

Methods

Adult participants with suspected sleep-disordered breathing of varying degrees of severity were recruited from the general population and from GP referrals to sleep clinic. Audio recordings were collected via smartphones during home sleep apnea testing (HSAT). HSAT data were scored by a registered polysomnographic technologist in accordance with current international guidelines (AASM V2.5, 2018) and used as reference. To exploit acoustic respiration temporal pattern, time interval histograms were computed for sequences of audio-words that were automatically learned from spectral features with a deep neural network. Means and standard deviations of the time intervals for each audio-word were employed by a Gaussian mixture model to classify 2-minute audio recording segments as either containing OSA events or not.

Results

Preliminary data from 4 valid nights’ recordings obtained from 2 consented participants was analysed. 550 segments were used for training, with 180 segments used for evaluation. Audio recording demonstrated a sensitivity of 0.71 and specificity of 0.66 when compared with manually-scored HSAT.

Conclusion

Preliminary results suggest that an approach to OSA screening based on deep learning with inter-audio-word intervals to capture information about respiration temporal pattern may be a useful tool in diagnosis of OSA. Further model development is underway using data collected from up to 200 patients and full study data will be presented.

Support

The project is supported by an Innovate UK grant (project number 157358). HR is supported by a joint scholarship from Passion for Life Healthcare Ltd and University of Sheffield. LH acknowledges the financial support of NHS Research Scotland (NRS), through NHS Lothian.
0575 Sleep Monitoring with a Single Channel EEG Recorder in Patients with Psychiatric Disorders
Authors: Miyata S , Iwamoto K , Banno M , Ito Y , Noda A , Ozaki N
Published: May 2020

Introduction

The gold standard of sleep measurement has been laboratory polysomnography (PSG). However, electrodes and cables can cause discomfort, and exposure to an unfamiliar environment can cause the “first-night effect.” Difficulty falling asleep or maintaining sleep, poor sleep quality, and nightmares are some of the key clinical symptoms observed among individuals with psychiatric disorders. Those suffering from sleep disorders often present with symptoms of discontent with regard to sleep quality, timing, and quantity, and these symptoms have an adverse impact on function and quality of life. A minimally invasive technique would be preferable in patients with psychiatric disorders, who tend to be sensitive to environmental change. Accordingly, we evaluated the performance of a single-channel electroencephalography (EEG)-based sleep monitoring system in patients with psychiatric disorders.

Methods

Fifty-nine patients undergoing PSG were enrolled in this study. Single-channel EEG sleep monitoring was performed simultaneously with PSG. PSG and the EEG recordings were used to evaluate sleep parameters, such as total sleep time (TST), sleep efficiency, rapid eye movement (REM) sleep, light sleep (stages N1 and N2), and deep sleep (stage N3). Correlation analysis was used to evaluate the agreement on sleep parameters and attributing factors to the inaccuracies of the single-channel EEG recording.

Results

TST, sleep efficiency, REM sleep duration, and non-REM sleep duration of the single-channel EEG-based sleep monitoring showed a significant correlation with those of PSG. Lower sleep efficiency, a decrease in REM sleep, and increases in waking after sleep onset, arousal index, and apnea/hypopnea index were associated with the difference of sleep parameters between the two methods.

Conclusion

Among patients with psychiatric disorders who are sensitive to environmental change single-channel EEG sleep monitoring would be a useful technique to objectively evaluate sleep quality.

Support

Collaboration study with The KAITEKI Institute, Inc.
0582 Examining OSA Screening and Treatment for Individuals on a PTSD and Alcohol Disorder Residential Treatment Unit
Authors: Colvonen P J , Rivera G , Haller M , Norman S
Published: May 2020

Introduction

Obstructive sleep apnea (OSA) is highly co-occurring with both alcohol use disorder (AUD) and posttraumatic stress disorder (PTSD) and has been shown to interfere with both PTSD and AUD outcomes. However, OSA often goes undiagnosed and untreated in residential treatment facilities. Our study aimed to assess the feasibility of incorporating OSA screening and treatment onto a substance abuse residential rehabilitation treatment program (SARRTP). Further, we examine the relationship between adherence rates of CPAP on PTSD outcomes.

Methods

Participants were 35 consecutive veterans admitted to the SARRTP PTSD track who consented to screening. Veterans were on the unit for 4-6 weeks. OSA was diagnosed using Nox T3 recorders, a Type-3 portable OSA screener (using Apnea Hypopnea Index >= 5). Insomnia Severity Index and PTSD checklist were given at pre- and post-treatment.

Results

64.7% of Veterans screened positive for OSA. 11.8% were previously diagnosed with OSA, but did not use a CPAP machine; 17.6% were previously diagnosed and were using a CPAP machine; and 35.3% were newly diagnosed with OSA. Individuals with untreated OSA had significantly more days drinking in the last 30 days (M = 21.17 days, SD = 11.41) compared to no OSA/Treated OSA group (M = 8.82 days, SD = 10.92). There was no difference in change in PCL scores from baseline to post-treatment by the no-OSA/high compliance group and the low compliance group.

Conclusion

Taken together, OSA screening on the unit was accepted by the participants, feasible, and effective in diagnosing OSA. OSA screening and treatment should be considered as necessary on SUD and PTSD units. We did not find that OSA adherence predicted change in PTSD score, this is most likely due to veterans receiving their CPAP late into their stay on the unit. Future studies will need to examine OSA treatment on long term treatment outcomes.

Support: Support

This work is supported by UCSD Academic Senate Grant and a Veterans Affairs RR&D CDA (1lK2Rx002120-01) to Peter Colvonen.
0584 Detecting Sleep Disordered Breathing Using Sub-Terahertz Radio-Frequency Micro-Radar
Authors: Korotun M , Weizman L , Drori A , Zaccaria J , Goldstein T , Litman I , Hahn S , Greenberg H
Published: May 2020

Introduction

New sensor technologies are entering sleep testing at a rapid pace; Neteera™ developed a novel sensor and algorithm for sleep apnea detection utilizing a contact-free, radar-based sensor system. The system utilizes a high-frequency, low-power, directional micro-radar which operates at ~120GHz and a sampling rate of 2500Hz as well as algorithms which are able to detect both pulse and respiratory activity of subjects during sleep.

Methods

Adult subjects undergoing diagnostic PSG for clinical purposes were simultaneously assessed with the novel micro-radar system with sensors under the mattress. Disordered breathing events (DBEs) were scored from the PSG using AASM scoring guidelines and were compared with those detected by the micro-radar sensor. Test data were grouped into three sets: 1. Single under mattress sensor; 2. Two under mattress sensors on each side of the bed (to improve signal capture); 3. After software optimization. The micro-radar sensor detected DBEs but software to describe the type of DBEs (obstructive apnea/central apnea/hypopnea) is still under development. Detection rate of DBEs was compared between the two methodologies and the development sets.

Results

n=22 (12 F, 10 M), Age=50.8±12.4 years, BMI=35.32±7.37 kg/m2. Diagnostic PSG AHI: 19.7±29.4/hr, T90=15.8±25.7%. Percent DBEs missed by the micro-radar sensor: 1st set=14.6±10.6%; 2nd set=9.4±8.3%; 3rd set=1.2±2.6%. Number of DBEs assessed for each set was 646, 1144, 125 events, respectively. With each successive set, the detection rate improved.

Conclusion

A novel micro-radar, non-contact sensor technology can be used to detect DBEs during sleep. Detection rate improved with utilization of two sensors per bed and software optimization. Future software development is expected to improve detection rate and facilitate breathing event classification into obstructive apneas/central apneas/hypopneas.

Support

None.
0598 Blurred Binaries: The Clinical Management of Obstructive Sleep Apnea in Transgender Patients
Authors: Peters-Mathews B , Lee M , Sabzpoushan A
Published: May 2020

Introduction

Transgender patients require careful clinical assessment to identify the effects of hormones on their risk of obstructive sleep apnea. Testosterone increases sleep apnea risk and assigned males at birth may develop the condition earlier. Estrogen and progesterone are known to reduce sleep apnea risk. Depending on the use of supplemental hormones and surgical status, the risk of sleep apnea may be altered in a transgender patient. Comorbid conditions, including mood disorders and obesity, may further impact sleep. This topic has not been well-studied, and this pilot project identifies special needs that exist in transgender populations.

Methods

This retrospective chart review included 25 subjects who identify as transgender who have been managed at an urban sleep disorders center from 2017 to 2019. The case series was assessed to identify characteristics that impact the diagnosis and treatment of obstructive sleep apnea (natural and supplemental hormonal effects, surgical effects, comorbid conditions, etc.).

Results

The average age of the cohort was 34 years (range 16 to 76). Fourteen subjects were assigned females at birth and identify as men and 11 subjects were assigned males at birth and identify as women. Preferred pronoun usage was concordant with gender identity in 21 subjects, discordant in 1 subject, and gender-neutral (they/them) was used by 3 subjects. Based on 24 subjects, the average BMI was 35.5 (range 23.5 to 53.1). The measured neck circumference was <16 inches in 9 subjects, >17 inches in 6 subjects,and a risk factor for sleep apnea based on birth-assigned sex but not gender identity in 4 subjects. Hormone therapy was used by 24 subjects to enhance their gender identities. When documented, 6 subjects had mastectomies and 2 also had total hysterectomies. Anxiety or depression had been diagnosed in 20 subjects. Testing revealed sleep apnea in 18 subjects. Loss to follow up affected 9 subjects.

Conclusion

Transgender patients deserve respectful evaluation and careful consideration regarding risk factors for obstructive sleep apnea that may be impacted by gender-affirming hormonal therapy or surgery, and weight gain. Higher rates of mood disorders and loss to follow up may put these patients at long-term risk.

Support

N/A
0602 Daytime Sleepiness in Heart Failure with Preserved Versus Reduced Ejection Fraction
Authors: Schütz S G , Nguyen-Phan A , Konerman M , Hummel S , Chervin R D
Published: May 2020

Introduction

Sleep apnea is common in patients with heart failure, though often not associated with significant daytime sleepiness in heart failure with reduced ejection fraction (HFrEF). The clinical presentation of sleep apnea in patients who have heart failure with borderline or preserved ejections fraction (HFbEF and HFpEF, respectively) is not well characterized.

Methods

Eighty patients with heart failure were identified retrospectively in data from University of Michigan Sleep Disorders Laboratories. Heart failure was categorized as heart failure with reduced ejection fraction (HFrEF)/systolic heart failure, heart failure with borderline ejection fraction (HFbEF) or heart failure with preserved ejection fraction (HFpEF)/diastolic heart failure. Clinical information and Epworth Sleepiness Scale (ESS) scores were extracted from medical records. A subset of subjects underwent a diagnostic polysomnogram. ANOVA was used to compare clinical characteristics in subjects with different heart failure types.

Results

ESS scores trended higher in 49 subjects with HFpEF (ESS mean 10.9±4.7 [sd]) compared to 9 with HFbEF (ESS 8.0±3.4) and 22 with HFrEF (ESS 8.4±5.0) (p=0.058). Among the 40 subjects who underwent diagnostic polysomnography, no statistically significant difference emerged in apnea-hypopnea index between subjects with HFpEF, HFbEF, and HFrEF (p=0.43). No significant differences emerged for the central apnea index (p=0.16), despite magnitudes of discrepancy that suggested a larger sample size might show different

results

CAI in participants with HFrEF showed a mean of 9.0±14.6/h, compared to 0.1±0.1/h in HFbEF and 3.1±6.3/h in HFpEF.

Conclusion

Among these patients with HFpEF, HFbEF, and HFrEF, subjects with HFpEF showed a trend towards increased subjective daytime sleepiness, though overall apnea and central apnea severity did not differ between groups. Further examination of clinical phenotypes in larger cohorts may help guide care in heterogeneous heart failure populations.

Support

National Institutes of Health grant NS107158
0610 Prevalence of Positional Obstructive Sleep Apnea Based on 3% Vs 4% Oxygen Desaturation Using Home Sleep Apnea Testing
Authors: Mandal M , Rengan R , Rani S , Ramzy J , Vega Sanchez M , Jaffe F , D’Alonzo G , Shariff T , Chatila W , Weaver S , Krachman S
Published: May 2020

Introduction

Approximately 30% of patient with obstructive sleep apnea (OSA) have positional OSA [non-supine apnea-hypopnea index (AHI) < 5 events/hr]. However, the prevalence is based on variable definitions for hypopneas related to the degree of oxygen desaturation. In addition, use of a home sleep apnea test (HSAT) to identify positional OSA is limited. We hypothesized that in patients evaluated with an HSAT, using a definition for hypopneas based on 4% compared to 3% oxygen desaturation will significantly decrease the percentage diagnosed with positional OSA.

Methods

Fourteen patients with positional OSA based on a non-supine respiratory event index (REI) < 5 events/hr were included. The initial diagnosis was determined based on a hypopnea definition of ≥ 3% oxygen desaturation. The studies were reanalyzed using a hypopnea definition of ≥ 4% oxygen desaturation.

Results

Fourteen patients [9 (64%) males, 46±14 yrs, BMI 31±6 kg/m2, ESS 7±5, REI 9±3 events/hr, mean SaO2 94±2%, lowest SaO2 81±6%, %TST SaO2 < 90% 4±6%] were identified with positional OSA (supine REI 16±7 events/hr, non-supine REI 3±1 events/hr) using a hypopneas definition of ≥ 3% oxygen desaturation. When reanalyzed using a hypopnea ≥ 4% oxygen desaturation there was a significant decrease in the REI to 7±2 events/hr (p<0.001). Three patients (21%) no longer were considered to have OSA. These patients were younger (32±14 vs. 50±11yrs, p=0.03) and had less severe OSA (REI 6±1 vs. 9±3 events/hr (p=0.04), but there was no difference in BMI (32±11 vs. 31±5 kg/m2, p=0.9) or mean and lowest SaO2 (96±0.4 vs. 94±2%, p=0.13, and 82±8 vs. 81±6%, p=0.9, respectively).

Conclusion

In patients with mild positional OSA, using a hypopnea definition of at least 4% vs. 3% oxygen desaturation on a HSAT will have a significant effect on the overall REI and often exclude patients who would otherwise be treated for OSA.

Support

None.