bluuebunny/crossref_metadata_2025_split huggingface dataset:
1191 Development of a Clinically-Validated Questionnaire and Scoring Algorithm Designed to Identify Common Sleep Problems Among Adults
Authors: Galaska B , Bakker J M , Sert Kuniyoshi F , Bush M , Salazar J , Jasko J G , Friedman A L , White D P 
Published: May 2020

Abstract

Introduction
Although sleep is critical to maintaining health and quality of life, inadequate sleep duration and/or quality is common. It can be difficult to distinguish sleep problems that may be addressed through adjustments to lifestyle versus issues that may represent a more serious condition requiring medical intervention. SmartSleep Analyzer is a cloud-based questionnaire and scoring algorithm designed to categorize respondents according to likely sleep problems as follows: obstructive sleep apnea (OSA), snoring, trouble falling asleep or staying asleep, delayed sleep phase disorder (DSPD), shift work disorder (SWD), chronic sleep restriction (CSR), or no sleep problem. Primary, secondary, and tertiary categorizations are provided, where applicable. The objective of this study was to validate the questionnaire scoring algorithm categorization/s against a sleep physician assessment.

Methods
From 2,316 available records, 90 complete questionnaires were randomly selected for this analysis. The questionnaire scoring algorithm categorization was compared against the consensus assessment of three independent sleep physicians who each reviewed the answers to all questions before arriving at a diagnosis.

Results
The questionnaire respondents (70% female) were aged 42.2±14.5 years, had a mean BMI of 32.0±7.7 kg/m2, and self-reported sleep duration of 6.5±1.4 hours/night. The primary, secondary, or tertiary categorization of the questionnaire scoring algorithm matched the primary consensus categorization of the physicians 90.6% of the time (95% confidence interval (CI): 82.6 to 95.7). When OSA and snoring were grouped, agreement increased to 98.9% (95% CI: 94.0 to 100). In all analyses undertaken, the accuracy of questionnaire scoring algorithm against the physicians exceeded the accuracy of the physicians when compared to each other.

Conclusion
These results demonstrate that our questionnaire and scoring algorithm performs well in identifying sleep problems that may impact adult respondents, using physician-review as the comparison standard.

Support
Philips
1206 Automated Sleep Apnea Assessment Based On Machine Learning And Wearable Technology
Authors: Chiu H , Lee P , Ku B , Liu Y 
Published: May 2020

Abstract

Introduction
Obstructive sleep apnea (OSA) is a condition characterized by repeated episodes of partial or complete obstruction of the respiratory passages during the sleep. Traditional polysomnography (PSG) for OSA estimation is bulky and time-consuming for daily use. Therefore, this study aims to develop a novel photoplethysmography (PPG) and accelerometer based smart watch for OSA detection, in which a high-performance and low-complexity automated OSA detection was embedded for long-term in-home measurement.

Methods
The developed watch measured PPG signals from wrist radial artery and body motion from accelerometer as well. 121 patients (92 males, 29 females) were recruited from the normal community and Center of Sleep, National Taiwan University Hospital, Taiwan in this study. All OSA scoring were analyzed by three registered PSG technologists. The AHI of the cohort was 10.1±18.3 (0 to 82.7). An automated OSA detection algorithm was designed based on machine-learning (ML) technique, in which was iteratively updated according to each 30-second epoch of the collected data. Subsequently, obstructive and hypopnea events were detected according to the OSA detection algorithm.

Results
To better valid the effectiveness, this study focused on the estimation performance of the subjects with AHI&gt;15. Based on hold-out validation, the average sensitivity and precision in the AHI&gt;15 cohort were 77.2% and 58.6%, respectively, with a Cohen’s kappa of 0.46. The interclass correlation between the watch and technologists was 0.81 (95%CI: 0.61-0.91). The result showed that the proposed automated OSA detection could achieve consistent result with technologist during standard sleep testing.

Conclusion
This study developed a wrist-based watch based on ML technique to assess OSA severity. We compared the performance with clinical technologists for the OSA detection. Further, the sensitivity and precision were generally acceptable while subjects were with AHI&gt;15. The proposed wrist-based watch could provide reliable performance for OSA estimation, and may be of a light for future in-home sleep studies.

Support
This study was supported by Mediatek Inc.
1210 Development Of An Auditory Neurofeedback During Sleep Onset Process
Authors: Douch M , Soubrier M , Pinaud C , Harris M , Thorey V 
Published: May 2020

Abstract

Introduction
Biofeedback is proposed as an alternative method to help patients with insomnia reducing their anxiety. Some studies have shown that auditory neurofeedback can be effective at reducing sleep-onset latency. However, the AASM sleep stage classification only describes the sleep-onset as a binary state (i.e. wake or N1) which makes it not adapted for neurofeedback. We introduced a simple 4-stages classification for sleep-onset, on 10 seconds EEG epoch. The aim of this study was to develop an automatic method to detect these stages, and an online algorithm embedded in the Dreem headband (DH) that adapted the auditory feedback based on the current stage.

Methods
Fourteen subjects underwent an overnight PSG monitoring, from which the first sleep-onset period was extracted. We defined the simple 4-stages classification for sleep-onset on 10 seconds EEG epoch as following: SO1) &gt; 75% of the epoch covered by alpha frequencies SO2) between 25% and 50% of the window covered with alpha frequencies, SO3) Alpha frequencies covered less than 25% and theta frequencies covered less than 30% of the epoch, and SO4) Theta frequency covered more than 30% of the epoch. For the manual scoring, 4 sleep scorers have been given the instructions and a Q&A session after scoring the first two records. For the algorithm, a sound triggering algorithm was linked to a neural network trained on the scored data, to dynamically adapt the sound to the sleep-onset stage.

Results
The scorers reached an average agreement of 68 + 15% over all the records. The neural network reached an accuracy of 68%. Per state the accuracy was: 71 ± 32% (S1), 52 ± 22% (S2), 54 ± 23% (S3), 79 ± 21% (S4). The automatic neurofeedback was able to adapt sound stimulations in real-time based on stages and was well perceived among first testers.

Conclusion
The results of this preliminary work show that we can reach a higher agreement by reducing the epoch duration and use this classification to produce automatic biofeedback during the sleep onset period. Further studies using a data-driven method should be conducted.

Support
This study supported by Dreem sas.
1224 Treatment of Severe OSA Using Low Flow Oxygen in a Neonate with Robin Sequence
Authors: Saeed Sidra , Amos Louella 
Published: May 2020

Abstract

Introduction
Robin Sequence (RS) involves the clinical triad of micrognathia, glossoptosis and cleft palate. There is a spectrum of severity, but most neonates with RS have upper airway obstruction, resulting in severe obstructive sleep apnea, sometimes requiring surgical interventions such as tongue-lip adhesion, mandibular distraction, or tracheostomy. We present an infant with RS and severe obstructive sleep apnea which was managed with supplemental oxygen.

Report of Case
Our patient was born at 39 weeks gestation with RS. He had a normal DNA microarray. He was discharged after a 3 week NICU hospitalization for poor feeding. Over the next 2 months, he had poor weight gain and worsening obstructive breathing and was evaluated by craniofacial surgery at that time. Room air polysomnography (PSG) was recommended and revealed an AHI of 21, REM AHI of 48, supine AHI of 25, prone AHI of 19, mean SPO2 of 98%, minimum SPO2 of 61%, and normal capnography with 0% of the time spent &gt; 50 mmHg. A repeat sleep study on 1/4LPM oxygen in the supine position revealed an AHI of 1.7, mean SPO2 of 99%, minimum SPO2 of 92%, and normal capnography. He was discharged on supplemental oxygen. At 4 months of age, he had good weight gain. At 10 months of age, room air PSG revealed persistent OSA with an AHI of 7.2, REM AHI of 21, mean SPO2 of 97%, minimum SPO2 of 81%, and normal capnography. At age 3 yrs, his PSG on room air showed resolution of his OSA with an AHI of 0.6, mean SPO2 of 97%, minimum SPO2 of 87% and normal capnography.

Conclusion
This case illustrates the spectrum of severity of RS and the utility of low flow oxygen to treat OSA in this patient population.
1225 Sexsomnia: A Case of Sleep Masturbation And Sleeping In An Open Work Environment
Authors: Kim David S , Foster Brian E , Rizzo Meagan M , Collen Jacob F , Soca Rodolfo 
Published: May 2020

Abstract

Introduction
Sleep sex or sexsomnia is classified in the International Classification of Sleep Disorders as a non-rapid eye movement (NREM) parasomnia. The overall prevalence is unknown but several conditions such as obstructive sleep apnea (OSA), shift work, and/or insufficient sleep have been reported as factors affecting the frequency of NREM parasomnias. Parasomnias, with sexsomnias in particular, can cause significant emotional distress to patients and their families. We present a case of co-morbid sexsomnia and OSA in a patient serving in the military that had the complicating factor of sleeping in open quarters.

Report of Case
A 40-year-old male in active duty military without significant past medical history or medication use presented to clinic with a two year history of disruptive sleep masturbation reported by wife. Patient’s wife reported no instances of attempted sexual intercourse. The patient had no recollection of the episodes. The frequency and nature of the episodes were causing personal and marital distress. Patient was also concerned about work responsibilities, since he was periodically required to sleep in open environments. After initial clinic evaluation, patient underwent a video polysomnography (vPSG) with an extended EEG montage. No parasomnia activity was captured on vPSG but patient was diagnosed with moderate OSA. He was started on continuous positive airway pressure (CPAP) therapy, resulting in decreased number of episodes with relapses corresponding to nights without CPAP usage.

Conclusion
Sexsomnia cases require careful history taking and evaluation. The nature of the episodes and the sleep environment of the patient must be examined for any medico-legal ramification as there are court precedents of sexual assault charges made in sexsomnia-related cases. The military environment is unique with group-sleeping conditions, often in austere environments. If sexsomnia were to be misinterpreted as indecent exposure, under the military code of conduct, this could have significant career implications.
0124 A Prefrontal-Amygdala Network Model of the Cellular and Circuit-Level Mechanisms of Emotional Memory Consolidation During the Awake State and REM Sleep
Authors: Rho Y , Vijayan S 
Published: May 2020

Abstract

Introduction
Rapid eye movement (REM) sleep has been implicated in the consolidation of emotional memories. Our recent work found a candidate system for REM-related memory consolidation. We showed that during REM sleep, the frontal cortices are dominated by theta (4–8 Hz) oscillations and bursts of beta (15–35 Hz) activity. Studies suggest that rhythmic interactions between the frontal cortices and limbic structures, in particular the amygdala, play a critical role in the consolidation of emotional memories. However, the mechanisms responsible for memory consolidation during these rhythmic interactions during REM sleep remain unknown.

Methods
We used biophysically based neural models to build a large-scale network model of the prefrontal cortex (PFC) and amygdala (AMY) and incorporated synaptic plasticity mechanisms, such as spike-timing dependent plasticity (STDP), into the connections between these two regions. Norepinephrine (NE) and serotonin (SE) levels were manipulated to mimic the different physiological conditions during the awake state and REM sleep.

Results
We were able to reproduce the oscillatory dynamics observed in experimental studies and identify cell-type specific synaptic changes caused by STDP. During the awake state, PFC connections to all cell types of the AMY become strengthened when PFC neurons provide theta frequency inputs, with the connections strengthening to a greater extent when inputs are in burst mode rather than single spike mode. When the PFC provides beta inputs, we see the exact opposite relationship: synaptic strengths become weaker when inputs are in burst mode rather than single spike mode. During REM sleep conditions, the connections to all principal cell types of the AMY become strengthened, with synaptic connections to some subtypes of pyramidal cells becoming stronger than others. Surprisingly, however, the synaptic connections to the interneurons become weaker in response to theta frequency inputs.

Conclusion
Using our large-scale network model, we show how the levels of the neurotransmitters NE and SE during the awake state and REM sleep affect oscillatory dynamics and in turn influence the strengthening or weakening of connections related to emotional memories.

Support
United States Army Research Office, Award number ARO W91lNF-17-1-0300
1230 An unusual presentation of dementia with Lewy bodies in a septuagenarian
Authors: Geil Eric S , Agudelo Christian , Ascher Kori , Sun Xiaoyan , Velez-Ruiz Naymee , Ramos Alberto R 
Published: May 2020

Abstract

Introduction
Dementia with Lewy bodies (DLB) can be associated with degeneration of the hypocretin system and reduced hypocretin levels. However, reports of DLB initially presenting with narcolepsy with cataplexy symptoms are sparse.

Report of Case
A 77-year-old man presents with two years of new onset hypersomnia, tremors, memory difficulties, and gait instability. Before his sleep evaluation, he was started on levetiracetam for suspected seizures and levodopa for suspected Parkinson’s disease, without improvement. During his evaluation for hypersomnia, he reported loud snoring, witnessed apneas, sleep maintenance difficulty, hypnagogic hallucinations of well-formed images, and vivid dreams with dream enactment behavior occurring almost nightly. He had witnessed episodes of cataplexy described as transient lower extremity weakness with associated bifacial weakness, inability to speak, and no loss of consciousness, self-injury, loss of bowel/bladder control, or post-event symptoms. These events completely resolved after 1-minute, occurred while sitting or standing, and were spontaneous or triggered by anger or anxiety. His Epworth Sleepiness Scale was 18 and Ullanlinna Narcolepsy Scale was 35, suggestive of narcolepsy with cataplexy. Physical examination did not reveal Parkinsonism or resting tremor. He subsequently underwent a baseline polysomnogram that showed an apnea-hypopnea index of 32.7 events/hour. During an in-laboratory titration study, he had REM sleep without atonia. A 30-minute EEG was interpreted as normal and a typical cataplexy-like event captured during continuous EEG monitoring had no ictal correlate. Despite adherence to positive airway pressure therapy, he continued to have hypersomnia, cataplexy, and visual hallucinations during transitions from wake to sleep. He was tapered off levetiracetam and levodopa with a plan for further evaluation of probable DLB.

Conclusion
Narcolepsy with cataplexy symptoms is an uncommon presentation of probable DLB as seen in this case with two core clinical features of DLB (RBD and visual hallucinations), suggesting neurodegeneration of the hypocretin system.
1240 Obstructive Sleep Apnea Management in Weill-Marchesani Syndrome: A Case Report
Authors: Monceaux Brittany , Smalley Megan , Okorie Ugorji , Roberts Edmond , Liendo Cesar , Asghar Sheila , Chernyshev Oleg 
Published: May 2020

Abstract

Introduction
Weill-Marchesani Syndrome (WMS) is a rare systemic genetic connective tissue disorder which usually presents with symptoms of short stature, limited joint movement, and eye problems such as glaucoma and microspherophakia. This genetic condition is associated with fibrous tissue hyperplasia. WMS is inherited as autosomal dominant or autosomal recessive patterns in families leading to a variability in presenting phenotype. Few papers have been written on airway management during anesthesia but as far as we know, this is the first case report on obstructive sleep apnea management in a patient with WMS.

Report of Case
A 9 year old boy with a past medical history of Methylene THF Reductase deficiency, von Willebrand’s Disease, seizure disorder, premature birth, developmental delays and Weill-Marchesani syndrome was referred to Sleep Medicine due to tonsillar hypertrophy (3+), snoring and witnessed apneas. Upon physical examination, patient had mid-facial hypoplasia, retropositioning of the mandible, high arched palate, Mallampti class IV, maxillary hypoplasia and mandibular hypoplasia. He had been evaluated by ENT which determined the patient to be too high risk due to his medical conditions for T&A. The patient had a polysomnogram in 2018 indicating OSA with an apnea-hypopnea index of 4.2 and a minimum oxygen saturation of 91%. After a CPAP titration study, the patient was started on Auto CPAP of 5-15 cmH2O and has shown improvement in symptoms based on subjective and objective compliance report. Patient has been able to tolerate PAP therapy well with 100% compliance greater than 4 hours per night.

Conclusion
This case is the first illustrating OSA in a patient with Weill-Marchesani Syndrome. In WMS, the causes of OSA are not only due to tonsillar hypertrophy, but multifactorial, including craniofacial abnormalities. Given the high risk of surgical complications in WMS patients, PAP therapy appears to be a reasonable option for OSA management.
1244 A Curious Case of ASV Failure
Authors: Chaudhary Nishant , Ayache Mirna , Carter John 
Published: May 2020

Abstract

Introduction
Positive airway pressure-induced upper airway obstruction has been reported with the treatment of obstructive sleep apnea (OSA) using continuous positive airway pressure (CPAP) along with an oronasal interface. Here we describe a case of persistent treatment emergent central sleep apnea (TECSA) inadequately treated with adaptive servo ventilation (ASV), with an airflow pattern suggestive of ASV-induced upper airway obstruction.

Report of Case
A 32-year-old male, with severe OSA (apnea hypopnea index: 52.4) and no other significant past medical history, was treated with CPAP and required higher pressures during titration sleep studies to alleviate obstructive events, despite a Mallampati Class II airway and a normal body mass index. Drug-Induced Sleep Endoscopy (DISE) showed a complete velopharynx and oropharynx anterior posterior (AP) collapse, long soft palate, which improved with neck extension. CPAP therapy, however, did not result in any symptomatic benefit and compliance reports revealed high residual AHI and persistent TECSA. He underwent an ASV titration sleep study up to a final setting of expiratory positive airway pressure 9 cm H2O, pressure support 6-15 cm H2O (auto-rate), with a full-face mask due to high oral leak associated with the nasal interface. The ASV device detected central apneas and provided mandatory breaths, but did not capture the thorax or abdomen, despite normal mask pressure tracings. Several such apneas occurred, with significant oxyhemoglobin desaturation.

Conclusion
We postulate that the ASV failure to correct central sleep apnea as evidenced by the absence of thoracoabdominal inspiratory effort, occurred due to ASV-induced upper airway obstruction. Further treatment options for this ASV phenomenon are to pursue an ASV-assisted DISE and determine the effectiveness of adjunctive therapy including neck extension, nasal mask with a mouth closing device and a mandibular assist device.
1246 Resolution of Cyclical Ventricular Ectopy with ASV Therapy in a Patient with Cheyne-Stokes Respirations
Authors: Rupani Nawaz , Massoud Mona , Bhura Sajeer , Kaplish Neeraj 
Published: May 2020

Abstract

Introduction
Nocturnal cardiac arrhythmias, ranging from ventricular ectopy to heart blocks, have been commonly reported in patients with obstructive sleep apnea syndrome (OSAS). Potential mechanisms for these rhythm disturbances include OSA-associated hypoxemia, arousal trigger increased sympathetic activity and alterations in intrathoracic pressures leading to cardiac mechanical structural changes. A beneficial effect of CPAP treatment on rhythm abnormalities in patients with obstructive sleep apnea has also been demonstrated. However, the relationship of cardiac arrhythmias and central sleep apnea is not well established.

Report of Case
We report an 82-year-old male with CAD and Atrial fibrillation s/p PPM who presented for management of his sleep disordered breathing (SDB). Upon review, his original sleep studies performed at an outside facility revealed obstructive sleep apnea and central sleep apnea with Cheyne-Stokes Respirations. The patient presented to us on treatment with an auto-adjusting PAP (APAP) of 7-15 cmH2O with an average delivered pressure of 12 cmH2O. A re-titration study was recommended and demonstrated persistent central sleep apnea with Cheyne-Stokes breathing despite treatment with CPAP 12-18 cmH2O. During this time, EKG monitoring revealed an atrial paced rhythm with frequent premature ventricular beats (PVBs) which occurred in a cyclical pattern. After initiation of Adaptive Servo-Ventilation (ASV), periodic breathing was well controlled and cyclical ventricular ectopy had completely resolved.

Conclusion
Although CPAP therapy has been shown to improve nocturnal arrhythmias in patients with obstructive sleep apnea, the same relationship, to our knowledge, has not been reported in patients with central sleep apnea and Cheyne-Stokes breathing. This case demonstrates the improvement of cyclical ventricular ectopy with ASV therapy.