bluuebunny/crossref_metadata_2025_split huggingface dataset:
1134 Light Exposure At Daytime On Sleep Quality In Stroke Patient During Rehabilitation
Authors: Liao W , Lin S , Meng N , Tin H , Tsai S , Huang Y 
Published: May 2020

Abstract

Introduction
Lights maintain the day and night rhythm to set patients’ “wake-up cycle” and to stabilize their physiological functions, which may be expected to improve sleep. This study was aimed to investigate the relations between sleep quality and daytime light exposure in stroke patient during rehabilitation.

Methods
A cross-sectional study design was adopted and 120 stroke patients were recruited from rehabilitation wards of two medical centers and 116 patients completed this study. Research instruments including the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, Sleep Log, and Somnowatch (Germany) for actigaphy sleep and light were used to collect data and urinary melatonin concentration were measured.

Results
47.4% of the patients had poor sleep quality (PSQI&gt;5), 74.1% had actigraphic sleep efficiency less than 85%, and 90.5% waked more than 30 minutes after sleep onset. The average exposure time at lower level light (≤149 lux) were 288.8 minutes, accounting for 48% of the day (8:00-18:00). Compared to lower light exposure group (less than 319.5 min at &gt;150 lux), those who exposed to higher level light (more than 319.5 min at &gt;150 lux) had increased 52.1 minutes in actigraphic total sleep time (TST, t=-2.134, p=0.035), increased 8% in actigraphic sleep efficiency (SE, t=-2.053, p=0.042), and decreased 41.1 minutes in actigraphic wake-after-sleep-onset (WASO, t=2.209, p=0.029). Urinary melatonin concentration increased 52.7 pg/ml, but not statistically significant (t=-1.277, p=0.205). Result of multiple regression analysis showed that after controlling for age, gender, post-stroke complications, and environmental interference, time of bright light exposure significantly affected subjective sleep satisfaction (p=0.014), TST (p=0.04), SE (p=0.041), and WASO (p=0.026).

Conclusion
Increasing time of bright illumination (≥150 lux) during daytime may improve sleep quality. Results of this study provide empirical references for non-drug intervention to improve sleep quality in patients with stroke.

Support
This study was supported by the Ministry of Science and Technology, MOST 105-2628-B-040 -005 -MY2.
1151 Is Timing Of Light Exposure Different In Women With Chronic Migraine?
Authors: Dawson S C , Kim M , Reid K , Burgess H J , Wyatt J K , Hedeker D , Park M , Rains J C , Espie C A , Taylor H L , Ong J C 
Published: May 2020

Abstract

Introduction
Light avoidance is a common coping behavior of individuals with migraine headaches. It is not known whether timing of light exposure is different in individuals with chronic migraine (CM) compared to those without migraine and how this may relate to headache frequency and severity. We tested this by examining timing of the brightest and darkest light and headaches in women with chronic migraines and healthy controls.

Methods
Sixteen women with CM (mean age = 33.07) and 18 female healthy controls (HC; mean age = 32.22) completed daily ratings of headache severity (0-10, severity &gt; 2 classified as headache) concurrent with light exposure measured by wrist actigraphy for approximately one month (M=28.00 days, range=21-36). Start time of each day’s 10-hour periods of maximum light (M10) and 5-hour periods of lowest light (L5) were calculated and averaged for each participant. T-tests and Cohen’s d effect sizes were used to compare groups. Pearson correlation coefficients were calculated to examine associations between M10/L5 timing and headache frequency and severity.

Results
M10 was earlier in the CM group compared to the HC group (07:42±00:47 vs. 08:50±00:58, t(32)=3.69, p=0.0008, d=1.08). The CM group exhibited non-significant trend towards earlier L5 compared to the HC group (12:26±00:48 vs. 01:07±01:03, t(32)=1.89, p=0.0723, d=0.62). Among individuals with CM, later M10 timing was associated with more severe average daily headache (r=0.60, p=0.0136) and more frequent headaches (r=0.55, p=0.0257). Later L5 timing was significantly associated with more severe average daily headache (r=0.66, p=0.0052) and showed a non-significant trend toward association with more frequent headaches (r=0.47, p=0.0686).

Conclusion
Timing of the greatest light exposure period was earlier in CM compared to HC. Within the CM group, those who had earlier light and dark periods reported lower headache severity and fewer days with headaches. These findings suggest the possibility of a role for the circadian system in chronic migraine.

Support
This study was supported by grant R21NS081088 from the National Institutes of Health.
1155 The Association Between STOPBANG Risk and Sleep Quality in an mTBI Sample
Authors: Garcia A , Reljic T , Kenney K , Amma A , Troyanskaya M , Elisabeth W , William W , Richardson R 
Published: May 2020

Abstract

Introduction
Although Obstructive Sleep Apnea (OSA) is prevalent in the military population, traditional scoring/clinical cut-offs of available screening tools may not be appropriate for this younger, slimmer population. We additionally have limited information regarding utility of OSA screening in those with history of mild traumatic brain injury (mTBI). The current study compared multiple STOPBANG scoring methods to determine how well they were associated with self-reported sleep measures in an mTBI sample.

Methods
Secondary analyses were conducted from a large database of evaluations from a multi-center, longitudinal study of mTBI. Participants were included if they had completed the STOPBANG and additional sleep measures. The subsequent sample (N=486) included participants with history of mTBI (n=408) and controls (n=78). The sample was predominantly male (n=421) with a mean age of 39 (IQR = 31/37/47).

Results
Sleep efficiency was not significantly associated with any STOPBANG scoring, in the total sample or when controlling for mTBI. In the total sample, sleep quality was most strongly associated with traditional STOPBANG scoring (STOPBANG ≥ 3, β=0.51). Sleep duration was most strongly associated with Snoring/Tired/Hypertension (STP = 3, β=0.79). When controlling for mTBI, duration was most strongly associated with traditional scoring (β=0.48), while sleep quality was most strongly associated with Snoring/Tired/Hypertension (β=0.78). Follow-up analyses demonstrate a significant difference in correlation between groups for STP/Sleep Quality, with a stronger correlation for those without mTBI.

Conclusion
The STOPBANG measure was significantly associated with self-reported sleep quality/duration measures, but not sleep efficiency. Although traditional clinical cut-offs for OSA predicted sleep measures in this sample, the relationship between risk scores and outcomes became more nuanced when history of mTBI was included. Future studies are needed to understand the relationship between OSA risk and subsequent diagnosis in the mTBI population.

Support
Defense and Veterans Brain Injury Center (GDHS,W91YTZ-13-C-0015), DOD(W81XWH-12-2-0095), VA(I01 CX001135)
1162 Financial Savings and Improved Outcomes from an Innovative, Integrated Sleep Apnea Management Program for a Safety Net Population: 5-Year Results
Authors: Lim M S 
Published: May 2020

Abstract

Introduction
Sleep disorders are extremely common in the general population and are associated with an increased risk for fatal accidents, heart disease, stroke, neurocognitive decline, and diabetes. Sleep problems disproportionately affect socioeconomically disadvantaged and under resourced communities. We present here a 5-year analysis of a private-public partnership between a private sleep medicine practice (Redwood Pulmonary Medical Associates, RPMA) and county medical system (the Health Plan of San Mateo) to provide a coordinated, value-based sleep apnea program to adult residents of San Mateo County, CA.

Methods
Referring providers send referrals to a single location (RPMA), and sleep consultations, testing, follow-up care, and CPAP management occur out of the same location by a dedicated staff. Limited channel cardiopulmonary (CP) sleep testing initiated in the office and completed at home was done for most patients. Patients with AHI&gt;5 plus daytime sleepiness were offered nasal CPAP, unlimited mask fittings, and compliance checks.

Results
2101 CP tests were successfully completed (93.5%). There were 49.6% females and 50.4% males, with an average age of 51.6 years. 31% had severe obstructive sleep apnea (OSA) and 59% were moderate or severe. 1471 (65%) of patients were given prescriptions for CPAP and 471 (32%) were still using CPAP at 5 years, 68.7% of whom were initiated within 3 years of the analysis. Of the patients returning satisfaction surveys, 97% would recommend the program to a relative or friend, and all respondents (99 to date) who were using CPAP felt it had benefitted their health overall. Comparing actual costs of the program to projected fee-for-service costs for the same services, the program saved the Health Plan of San Mateo $1,132,510, or 51.4%.

Conclusion
This program demonstrates the potential clinical and financial benefit of private-public partnerships in administering clinical programs to high risk populations, as private businesses can quickly adapt to new technologies, financial metrics, and standards of care.

Support
No outside financial support was provided
0118 Improved Working Memory is Related to Non-REM Delta Activity in Control but Not PTSD Participants
Authors: LaGoy A D , Kaskie R , Connaboy C , Laxinarayan S , Reifman J , Germain A , Ferrarelli F 
Published: May 2020

Abstract

Introduction
Individuals with post-traumatic stress disorder (PTSD) experience altered sleep and daytime function, including deficits in working memory (WM), the ability to store and manipulate information over short timeframes. As sleep contributes to WM, understanding how sleep parameters influence changes in WM may provide insight into potential intervention targets to improve or restore daytime function. Here, we investigated the relationship between sleep and WM improvement in Veterans with and without PTSD.

Methods
Forty-eight post-911 Veterans without PTSD (Control) and 37 with PTSD (PTSD) completed a 48-hour lab stay during which WM was assessed using a n-back task. Nighttime polysomnography, using high-density (64-channels) electroencephalography, quantified time spent in non-REM and REM sleep and log-transformed spectral activity for non-REM sleep in delta (.5-4Hz), theta (4-8Hz), alpha (8-12Hz), sigma (12-16Hz), and beta (16-32Hz) bands. Pearson’s correlations were used to assess associations between baseline sleep and baseline WM on 1-back trials. Within control and PTSD groups, independent samples t-tests were used to compare changes in sleep across nights between improvers and non-improvers categorized by 1-back accuracy changes across days.

Results
Proportions of improvers and non-improvers were similar between groups (χ 2 = .023, p = .880). Within either group, baseline sleep did not relate to baseline WM and changes in time spent in each sleep stage did not differ between improvers and non-improvers. Within the control group, improvers (n = 15; 3.67 ± 3.56) had a greater increase (t = -2.826, p = .007) in delta activity than non-improvers (n = 33; .77 ± 3.20), but this relationship was not observed in the PTSD group (11 improvers, 26 non-improvers).

Conclusion
Increased delta activity related to improved WM in the Control but not PTSD group. This suggests individuals with PTSD do not improve WM through non-REM sleep but that it may be a useful intervention target.

Support
USAMRMC MOMRP PT-130572 (PI: Reifman)
1167 Nursing Perceptions of Sleep Assessment in the Intensive Care Unit
Authors: Heavner M S , Jobe S L , Hurley J , Le B , Kantner C , Heavner J J , Shanholtz C , Verceles A , Wickwire E M 
Published: May 2020

Abstract

Introduction
Sleep disruption in intensive care unit (ICU) patients is highly prevalent and may contribute to adverse clinical outcomes. Although clinical practice guidelines recommend routine assessment of sleep, surveys of ICU clinicians indicate that sleep assessment programs (SAP) are rarely implemented. The purpose of the current project was to characterize sleep-related perceptions, practices, and knowledge among ICU nurses, to identify barriers and facilitators of implementation of a systematic SAP.

Methods
A 29-item, paper-based survey was administered to all nurses (N=220) in a medical ICU at a 750-bed academic medical center and a mixed ICU in a 300-bed community hospital. Voluntary survey completion was conducted over four weeks. Descriptive statistics were employed.

Results
A total of 163 surveys were completed (74.1%). Participants were primarily female (n=135; 82.8%), day-shift nurses (n=83; 50.9%), with 2-5 years of ICU experience (n=70; 42.9%). Respondents said they sometimes (n=52; 31.9%), and often (n=52; 31.9%), assess sleep, and 76.1% (n=124) reported not assessing sleep formally in the last three shifts. Approximately half of the respondents (n=85; 52.1%) were not aware of clinical practice guideline recommendations for sleep in the ICU. Most nurses reported that their unit could benefit from a SAP (n=101; 62.0%) and that they should have a primary responsibility in ensuring that sleep is discussed daily (n=144; 88.3%).

Conclusion
Despite published guidelines recommending routine sleep assessment, ICU nurses report infrequent assessment and a lack of awareness of these guidelines. However, ICU nurses believe implementation of routine sleep assessments would be beneficial to patient care. This suggests that SAP implementation would be positively received by ICU nurses. Future studies evaluating knowledge and site-specific perceptions and practices, as well as nursing staff characteristics, can further guide implementation of SAPs in the ICU.

Support
1172 Sleep Education Improves Screening for Sleep Disorders Among Physicians and Residents in Primary Care and Neurology Specialties
Authors: Jain S V , Kondapalli K , Moskowitz A , Combs D , Parathasarathy s 
Published: May 2020

Abstract

Introduction
Sleep disorders are under-diagnosed. The purpose of the study was to evaluate if providing sleep education improves screening and thereby, diagnosis of sleep disorders among physicians.

Methods
The study was approved by the institutional review board. Pediatric (P), neurology (N) and internal medicine (IM) physicians/residents participated in the study. After collecting demographics, including baseline screening rates (BSR), the participants were randomized to educational intervention- either manuscript or oral presentation reviewing insomnia, obstructive sleep apnea and sleep disorders in epilepsy. Questionnaires-baseline knowledge (BQ), post-intervention (PQ) and 9 months after the intervention, screening (SQ) evaluating screening rates (PSR) and usefulness of the study, were collected. The change in knowledge (PQ-BQ) and screening rates (PSR-BSR) were compared between the groups by t-test and ANCOVA after adjusting for BSR. t-tests were used to compare the knowledge and screening rates before and after the intervention in the entire cohort. Correlations identified the factors associated with improved screening rates.

Results
Thirty and 23 subjects completed the study and SQ, respectively. The average age was 30.4 (standards deviation [SD]= 3.1) with 53% female and practice experience of 2.5 years (SD=1.7) with 60% P, 23.3% N and 16.7% IM participants. There were no significant differences in the characteristics, and knowledge and screening rate change after the intervention between the two groups. However, for individual questions, the oral presentation group had improved knowledge about sleep disorders in epilepsy. The study improved knowledge by 82% for understanding, 77% for managing and 79% for screening for sleep disorders. Knowledge (Mean Difference [MD]= 0.22, p=0.0001) and screening rates (MD=0.29, p=0.001) improved significantly after the intervention in the entire cohort. The improvement in screening rates was associated with presence of screening by the physicians prior to the intervention (r=0.5, p=0.008).

Conclusion
The study showed that sleep education improved knowledge and screening for sleep disorders among physicians.

Support
The study was funded by the American Academy of Sleep Medicine Foundation Focused Project Award.
1192 The Accuracy of a Novel Sleep Ring Device for Estimating Sleep Onset with Good and Poor Sleepers
Authors: Scott H , Whitelaw A , Canty A , Lovato N , Lack L 
Published: May 2020

Abstract

Introduction
THIM is a new ring-like sleep device that, if found to accurately measure sleep onset, could be used for a variety of clinical purposes. These include administering a brief but effective treatment for insomnia called Intensive Sleep Retraining, facilitating the optimal 10-minute power nap, and administering Multiple Sleep Latency Tests (MSLTs) outside of the sleep laboratory. This study assessed the accuracy of THIM for measuring sleep onset latency compared to polysomnography (PSG).

Methods
Twenty healthy individuals aged 23.6 years (SD = 4.89) underwent overnight PSG recording whilst using THIM on two nights in the sleep laboratory, one week apart. On each night, participants completed sleep onset trials for four hours whilst monitored via PSG. In these trials, participants attempted to fall asleep whilst responding to vibrations emitted from THIM. Once they failed to respond to two consecutive stimuli, THIM woke them with an intense vibration. Participants had a short break before attempting the next trial.

Results
On average, THIM overestimated sleep onset on the first night by 0.24 minutes (SD = 0.90). On the second night, THIM overestimated sleep onset by 0.82 minutes (SD = 1.31) and this discrepancy was not significantly different to that obtained on the first night, p = .08. The accuracy of THIM did not differ between good sleepers (Insomnia Severity Index (ISI) score &lt; 7) or poor sleepers (ISI score 8-15), p = .98.

Conclusion
The findings suggest that THIM is accurate at estimating sleep onset latency for both good and poor sleepers. The next step is to test THIM outside of the laboratory environment. The goal is to develop an accurate yet practical device that can translate laboratory-based procedures to the home environment, to the benefit of patients and clinicians wanting to improve sleep.

Support
The project was funded in-part by the manufacturers of THIM, Re-Time Pty. Ltd., with additional funding provided by Flinders University.
1195 Closed-Loop Electroencephalogram-Based Modulated Pink Noise to Facilitate Falling Asleep
Authors: Garcia-Molina G , Kalyan B , Aquino A 
Published: May 2020

Abstract

Introduction
During the wake to sleep transition, the EEG exhibits a reduction in the power in the beta (15-30 Hz) band and an increase in the power of the theta (4-8 Hz) band. In previous publications we reported that the log-ratio “ρ=10×log(β/θ)” quasi-monotonically decreases by an order of magnitude as sleep initiates.

Methods
We developed a closed-loop, real-time system that processes a single EEG signal (FPz-M2) to modulate the volume of (pink-noise) sound according to “ρ=10×log(β/θ)”. The volume was calibrated such that it progressively decreases as sleep initiates. The EEG was acquired using the Philips AliceTM PSG station connected to a laptop where the algorithm was implemented. The sound was played through a wearable headband connected to the laptop’s audio-output. The algorithm processes 6-second EEG windows to estimate: 1) a signal quality index, 2) the average “ρ”, and 3) the sleep stage using a deep-learning stager. The volume changes with “ρ” according to a sigmoidal model. From the time where N2 or N3 sleep has been continuously detected for 3 minutes, the volume decays to zero in an exponential fashion. Seven subjects without any sleep disorder diagnosis (3F/4M; 33.6 ± 8.7 years old) participated in a home-based trial and recorded 5 sleep sessions. The first familiarization session was followed by randomized 2-session blocks: Block 1: closed-loop volume modulation (active), and Block 2 open-loop (sham) constant volume decrease.

Results
A 2.2-minute decrease (p=0.1) in average sleep latency was found in the active condition (11.6 ± 5.0m) w.r.t. the sham condition (13.8 ± 6.1m).
A 5.2-minute decrease (p=0.08) in average N3 latency was found in the active condition (29.3 ± 10.4m) w.r.t. the sham condition (34.5 ± 13.6m).
The log-ratio decreased significantly faster (p&lt;0.05) and more monotonously in the active condition suggesting a faster sleep-deepening due to the sound modulation.

Conclusion
Closed-loop modulation of the volume of pink-noise based on the EEG’s β/θ ratio may promote a faster sleep onset and a faster transition into deeper NREM sleep. The statistically trending results reported in this research grant further experimental validation with a larger number of subjects.

Support
Philips Sleep and Respiratory Care
1199 The Accuracy Of A New Sleep Ring Device For Tracking Sleep And Wakefulness Overnight Using Actigraphy
Authors: Scott H , Lovato N , Lack L 
Published: May 2020

Abstract

Introduction
THIM is a new consumer ring-like device that can passively monitor sleep overnight using actigraphy. This project aimed to develop the THIM sleep tracking algorithm (Study 1), and test its accuracy against polysomnography (PSG) with another independent sample of good and poor sleepers (Study 2).

Methods
Study 1: 25 healthy individuals (15 females) aged 25.38 years (SD = 6.39) slept overnight in the sleep laboratory with THIM, the Philips Spectrum, the Fitbit Flex, and PSG recording simultaneously. The THIM sleep tracking algorithm was developed by optimising sensitivity and specificity with PSG. Study 2: An additional 20 individuals (14 females) aged 23.22 years (SD = 5.02) slept overnight in the sleep laboratory with the same devices as in Study 1.

Results
Study 1: THIM showed high agreement with PSG for estimating sleep (sensitivity = .91) and reasonably high agreement for wakefulness (specificity = .59). There were no significant differences between PSG and THIM for total sleep time, t(24) = 0.76, p = .46, or sleep efficiency, t(24) = 0.56, p = .58. Study 2: THIM showed high agreement with PSG for estimating sleep (sensitivity = .89) and wakefulness (specificity = .59). Compared to PSG, THIM significantly underestimated total sleep time, t(19) = 2.10, p = .049, and sleep efficiency, t(19) = 2.20, p = .04, by an average of 21.35 minutes (SD = 45.52) and 4.44% (SD = 9.04), respectively.

Conclusion
Together, these studies suggest that THIM is reasonably accurate for monitoring sleep overnight in healthy individuals. Slight modifications to the algorithm and additional sensors could be added to THIM to improve its accuracy. Future research will examine the accuracy of THIM with larger sample sizes and particularly for people with insomnia, with the goal being to incorporate sleep tracking into a mobile-based treatment program for insomnia.

Support
The project was funded in-part by the manufacturers of THIM, Re-Time Pty. Ltd. Additional funding was provided by Flinders University.