bluuebunny/crossref_metadata_2025_split huggingface dataset:
P012 Sleeping on Clouds; a comparison of the impact of polysomnography versus remote determination on non-invasive ventilation device settings
Authors: Ridgers A , Ruehland W , Hannan L , Bruzzese K , Rajan A , Rautela L , Berlowitz D , Howard M 
Published: December 2024

Abstract

Introduction
Non-invasive ventilation (NIV) with home mechanical ventilators is an effective treatment for chronic respiratory failure. Optimal therapy requires titration of NIV settings to ensure adherence. Modern ventilators produce ventilator data for review via cloud-based platforms. The impact of relying on this data for NIV titration compared with polysomnography (PSG) is unknown. The aim of this study was to compare the agreement of ventilator settings based on summarised ventilator data and NIV PSG within participants.

Methods
A prospective cohort of 30 individuals with chronic respiratory failure were established on NIV. One month later, participants were administered questionnaires to assess NIV satisfaction, underwent in-lab PSG, and their data from the ventilator cloud-based platform was reviewed. Optimal NIV settings were separately determined by blinded review of the summarised ventilator data and PSG data by a respiratory and sleep physician.

Results
20/30 users experienced discomfort whilst using NIV therapy. Ventilator prescription using NIV PSG and Airview data were different. Inspiratory positive airway pressure (IPAP) and pressure support (PS) were an average of 2.76cmH2O (95% confidence interval 2.0,3.5) and 1.8cmH2O (95%CI 1.1,2.5) lower based on ventilator data. Comparative analysis with Bland Altman plots demonstrated a mean difference (MD) in IPAP of 1.4cmH2O (limits of agreement (LOA) -4.47 to 7.29) and PS MD of 0.96cmH2O (LOA -3.43 to 5.36).

Conclusion
User reported discomfort with NIV therapy was common. Differences in IPAP and PS were observed with lower prescribed pressures when titration was performed using ventilator data compared with NIV PSG. This may influence the titration of NIV therapy; however, the clinical impact of this difference on users is currently unknown.
P014 Bioinformatic analysis of gene expression profiling data on shift work sleep disorder
Authors: Chae H , Kim M , Lee E 
Published: December 2024

Abstract

Introduction
Shift work sleep disorder (SWSD) is a circadian rhythm sleep disorder affecting individuals who work nontraditional hours, such as night shifts. The complexity of SWSD arises from the altered interactions between thousands of genes, making it challenging to prioritize disease mechanism, biomarkers, and drug targets. This study aims to identify the patterns of pathways and upstream regulators involved in SWSD using a transcriptome from isolated peripheral blood mononuclear cells (PBMCs) of hospital nurses.

Method
We conducted bioinformatic analyses on the GSE122541 dataset, which includes RNA samples from PBMCs collected from night-shift and day-shift nurses under controlled laboratory conditions. Total RNA was obtained from isolated PBMCs every three hours. Differentially expressed genes (DEGs) were identified by comparing the night-shift condition to the day-shift condition. These DEGs were subjected to pathway and biomarker analyses using bioinformatic tools.

Results
A total of 773 DEGs were identified when comparing night-shift to day-shift conditions. These DEGs were analyzed using ingenuity pathway analysis (IPA). The pathway analysis revealed several significantly decreased pathways, including interferon alpha/beta signaling, interferon signaling, and OAS antiviral response. The upstream regulator analysis included predicted inhibited upstream regulators, such as IFNA2 and IFNL1, supporting the inhibited pathways. The one of top diseases associated with the night-shift condition included cancer with highest score.

Conclusion
Despite the identification of numerous DEGs, the bioinformatic analysis highlighted significant inhibited pathways and upstream regulators between night-shift and day-shift conditions. Combining pathway analyses of microarray data with bioinformatic tools can provide insights into the pathogenic relevance of SWSD.
P016 A data-driven comparison of commonly used roster patterns within the Western Australian fly-in-fly-out mining context
Authors: Smithies T , Ferguson S , Vincent G , Maisey G , Bennett J , Fraser H , Dunican I 
Published: December 2024

Abstract

Introduction
Shift and roster design is integral to an effective Fatigue Risk Management System, and can impact worker safety, health outcomes, workplace satisfaction, productivity, and cost. However, fatigue-based roster design decisions are frequently made using little or no supporting data. This analysis aims to provide objective fatigue-risk data for roster patterns commonly used within Western Australian (WA) mining fly-in-fly-out (FIFO) operations.

Methods
Ten of the most common roster patterns (sequencing of work hours and rest periods) within the abovementioned context have been identified, as have two pertinent factors: day/night shift start time, and commute duration to/from individuals’ home airports. In total, 150 combinations of roster patterns, start times, and commute durations will be analysed using the Fatigue Audit InterDyne (FAID®, Interdynamics Pty Ltd) Standard and Quantum biomathematical models.

Results
All analyses will be completed prior to the conference start date. Outputs of all combinations will be provided, with emphasis placed on time spent above a FAID score of 90 on the ‘Standard’ model and a predicted KSS above 7 on the FAID Quantum model (both indicative of high fatigue-risk). The impact of start times, commute durations, and their interaction, will be described and visualised.

Discussion
This will be the first publicly available data-driven comparison of FIFO shifts and rosters specific to WA FIFO mining operations. The results from this novel analysis should not be used in a prescriptive manner; however, they aim to provide new insight that may assist decision-making around shift and roster design for FIFO mining operations globally.
P018 Impact of academic, sports, and extracurricular activities on sleep patterns in early adolescents
Authors: Yap R , Lewis N , Phillips A , Hand A , Chachos E , Carskadon M , Lockley S , Wiley J , Stone J , Rajaratnam S , Bei B , Lu S 
Published: December 2024

Abstract

Introduction
Adolescents often report insufficient sleep and poor sleep quality, potentially due to busy schedules with academic tasks, sports, and extracurricular activities. This study investigated the impact of these activities on sleep onset, wake time and sleep duration in early adolescents.

Methods
Participants were 167 secondary school students in Melbourne, Australia (Mean age = 12.81±0.41 years, 56% female). During the school term, participants reported sleep-wake patterns over 2 weeks (sleep diaries). They also reported their weekly hours spent on academic, sports, and extracurricular activities outside of school, and the number of days they engaged in these activities before or after school (School and Sleep Habits Survey). Multiple linear regression analyses controlling for age, sex, ethnicity and COVID restrictions were conducted.

Results
Engaging in academic (Mean = 4.53 hours, Median = 3.00 hours), sports (Mean = 2.69 hours, Median = 2.00 hours), or extracurriculars activities (Mean = 1.02 hours, Median = 0.00 hours) weekly, whether in the morning or evening, was not independently or collectively associated with delayed bedtime, advanced wake times, or shortened sleep duration. However, more days spent engaging in evening sports during the week were associated with earlier bedtimes (p =.014).

Conclusion
More time spent on evening sports may be associated with earlier bedtime, but the study did not find associations between academic or other extracurricular activities and sleep during the school term. Further research is warranted to accurately quantify the types and intensity of these activities and their daily associations with sleep in adolescents.
P024 High resolution measurement of sleep position during pregnancy and the impact on infant birthweight
Authors: Wilson D , Mann D , Szollosi I , Callaway L , Kothari A , Terrill P 
Published: December 2024

Abstract

Introduction
Pregnant women are advised to sleep laterally from 28-weeks of gestation, due to increased risk of stillbirth in those who report “going-to-sleep” in the supine position. Historically, objectively-measured sleep position during pregnancy was classified as supine or lateral, potentially missing important subtleties regarding the mechanisms behind sleeping position and fetal wellbeing. This study aimed to characterise sleep position during pregnancy with precise measurement techniques and assess the impact of discretisation of supine sleep on infant birthweight.

Methods
A tri-axial accelerometer was worn around the abdomen for 7 nights, between 32-36 weeks of pregnancy. Body position was measured continuously in degrees of roll. Supine was defined crudely as 0°= fully supine to 45° left or right tilt versus more precisely as 0-15°, 15-30° and 30-45°. Birthweights were converted into customised centiles.

Results
A total of 368 nights were recorded across 56 women. The median (IQR) proportion of supine positioning (0-45°) across the week was 15.6% (4.9,26.5), equivalent to 74.5 (24.0,128.6) minutes per night. Of time spent supine, 32% was within 0-15°, compared to 28% and 41% in more tilted positions of 15-30° and 30-45° respectively. Birthweight centile was not related to supine (0-45°) time overnight (β=0.01, p=.85) or when constrained to 0-15° (β=0.17, p=.07).

Discussion
Half the women studied spent over an hour in the supine position overnight, although a 30-45° lateral tilt was favoured. Supine sleep was not associated with birthweight, suggesting that, at this supine exposure, the fetus is minimally impacted from aortocaval compression potentially impacting uteroplacental supply.
P030 Associations between objectively measured sleep and neurovascular coupling: preliminary results
Authors: Lester A , Fulford J , Mann D , Smith S , Taylor J , Bond B 
Published: December 2024

Abstract

Introduction
Habitual poor sleep is linked to cerebrovascular disease. Impairments in neurovascular coupling (NVC) are thought to precede cerebrovascular disease, however, the effect of sleep on NVC is poorly understood.

Methods
Total sleep time (TST) and time in deep sleep (N3) were quantified during three home sleep assessments using an electroencephalography-based device (Somfit) in 35 participants (22 female, age 10.5–73.6 years). Blood velocity through the middle (MCAv) and posterior (PCAv) cerebral arteries was measured using transcranial Doppler ultrasound. Percent change in PCAv from eyes closed to peak PCAv during visual stimuli was taken to represent NVC. Hierarchical multiple regressions were used to explore the associations between NVC, age and sleep.

Results
Sleep duration ranged from 5.46–9.65 hours, and time in N3 from 22–200 minutes. Resting MCAv and PCAv ranged from 47–104 cm/s, and 28–65 cm/s respectively. NVC responses ranged from 6.8–44.4%.
Age was associated with resting MCAv (R²=0.243, P=0.003), however, adding TST (F change=0.932) or time in N3 (F change=0.644) did not improve the model. Age was not associated with resting PCAv, and this did not change when TST or N3 sleep were added to the model (all R²&lt;0.100, P&gt;0.05). Similarly, no associations were found between NVC, age and TST/time in N3 (all R²&lt;0.006, P&gt;0.05.

Conclusions
Preliminary analyses reveal that resting MCAv decreases with age, while NVC does not. However, neither relationship was mediated by habitual sleep. Further data collection is being performed to capture a wider range of sleep patterns and ages.
P032 Can Capillary Blood Gases (CBGs) be used to determine drift in Transcutaneous Carbon Dioxide (TcCO2) measurements?
Authors: Slater D , Veldre T , Sigauke S , Wong S , Urban M , Figurski D , Huang H 
Published: December 2024

Abstract

Introduction
Capillary Blood Gases (CBGs) are used as an alternative method to measure pCO2 in the Canberra Hospital Sleep Disorders Unit. CBGs are simple to perform and have been shown to closely correlate to Arterial Blood Gases (ABGs) and nocturnal Transcutaneous Carbon Dioxide (TcCO2) in the measurement of pCO2. TcCO2 monitoring is an estimate of pCO2 and is prone to drift after continuous monitoring overnight. Our aim was to determine whether CBGs could be utilised to verify statistically significant drift in TcCO2 probes.

Methods
CBGs were sampled by Sleep Scientists to validate TcCO2 in both sleep lab rooms at the start and end of the sleep study (after ~8hrs applied to patient). A sum of 34 TcCO2/PcCO2 comparisons for each TcCO2 probe were collected over 3 months. Average differences between TcCO2 and PcCO2 were compared between the initial measurement and ~8hrs after the TcCO2 probe was placed. The significance of the drift was determined via ANOVA.

Results
Average drift (Bed 1 TcCO2) = -0.76mmHg (n = 34, p = 0.499).
Average drift (Bed 2 TcCO2) = 3.26mmHg (n= 34, p = 0.004).

Conclusions
The Bed 2 TcCO2 probe was shown to have a statistically significant drift via CBGs. This suggests that CBGs are a viable alternative to ABGs for quality control management of TcCO2 probes within the sleep laboratory context. This study may be limited by the large standard deviation in these measurements. Further analysis with a larger number of samples is required for additional validation.
P036 Evaluation of position sensors used during sleep studies
Authors: Churchward T , Ruehland W , Tolson J , Duce B , McDonald C , Worsnop C 
Published: December 2024

Abstract

Introduction/Background
Accurate body position measurement is used for diagnosing and managing obstructive sleep apnoea (OSA). Typically, position sensor data are corrected by experts using video recordings, but this is unavailable during unattended polysomnography (PSG). It is thus important to understand the accuracy of position sensors.

Aim
To evaluate the correction rates of position sensor measurements during PSG in a clinical laboratory setting.

Methods
We analysed 30 consecutive PSGs, all with video recordings, conducted in adults being assessed for OSA. The studies used Compumedics Ltd. (Abbotsford, Victoria, Australia) Grael™ PSG equipment with five-state (upright, left-lateral, right-lateral, prone, supine) body position sensors. After each study was completed the correct body position was determined in each thirty second epoch by viewing the video. These were then compared with the body position recorded by the position sensors for each epoch.

Results
A total of 28,377 30-second epochs from 30 PSGs (average: 946 epochs per study, range: 743-1249) were analysed. On average, across all studies 18.3% of epochs had the incorrect body position recorded by the position sensors. The degree of error within a study varied from 0.5% to 78% of epochs.

Discussion/Conclusion
Significant discrepancies in body position were found between the sensors and what was seen on video recordings of the studies. It is thus not possible to rely on position sensors when reporting sleep related OSA in sleep studies.
P037 Challenges and Facilitators in Adopting Healthy School Start Times: Key Stakeholders’ Perspectives
Authors: Barber C , Taylor R , Edmonds L , Signal L , Alansari M , Oldehaver J , Hetrick S , Galland B 
Published: December 2024

Abstract

Introduction
School start times no earlier than 9:45 a.m. for senior high students are considered “healthy” school start times (HSSTs) due to their potential to enhance teenagers’ health and well-being by accommodating their natural sleep patterns. Although many schools in Aotearoa New Zealand start one day a week later, daily implementation is rare. This study aimed to identify potential barriers and enablers for implementing HSSTs by gathering perspectives from key stakeholders in the education sector.

Methods
Semi-structured one-on-one Zoom interviews were conducted with nine key stakeholders involved in student transportation, timetabling, truancy, health (primary care and government level), and education (school leadership and government level). Interviews were audio-recorded, transcribed, and analysed inductively using thematic analysis.

Results
Four main themes emerged. First, Sleep Health Issues: Participants emphasised schools as ideal venues for sleep health education, highlighting the well-being benefits of HSSTs. Second, Education System Structures: The self-managing nature of schools was a barrier and an enabler. Flexible timetabling solutions were proposed, but the unpopularity of later school finishes posed a significant barrier. Third, Routines and Schedules: Consideration of wider whānau schedules was necessary. Off-peak hours could shorten bus rides and promote safer cycling, but resource intensive. Finally, Culturally Sustaining Practices and Multifaceted Needs: Enabling communities to develop autonomous implementation.

Discussion
Promoting a better understanding and prioritisation of sleep in educational settings is essential for advocating HSSTs. Emphasising the importance of sleep for overall well-being, while ensuring sleep advocacy initiatives foster autonomy and cultural safety, is crucial.
P041 Feasibility and accuracy of home polysomnography with transcutaneous carbon dioxide monitoring in children with neuromuscular disorders
Authors: Withers A , Pettigrew G , Filmer K , Lam J , Downs J , Wilson A 
Published: December 2024

Abstract

Objectives
clinical utility of home polysomnography is limited in children with neuromuscular disorders as CO2 is not measured and hypoventilation cannot be identified. This study performed home polysomnography with a Type 2 portable monitoring device and a portable transcutaneous CO2 monitor in children with neuromuscular disorders.

Methods
feasibility was defined as adequate data recorded from both devices to allow identification of sleep disordered breathing. Results of laboratory and home polysomnography were compared with Mann-Whitney U test and random intercept regression models.

Results
nineteen paired polysomnograms were performed for thirteen participants, including ten males, six with Duchenne Muscular Dystrophy. Median age was nine years. Feasibility was 68%, with adequate transcutaneous CO2 data in 89%. Statistically significant differences in sleep architecture were higher total sleep time, lower awake time and less N1 sleep during home polysomnography. No significant differences were seen in gas exchange parameters or apnoea hypopnoea indices. Home polysomnography had a sensitivity of 50% for diagnosis of hypoventilation and 78% for obstructive sleep apnoea. There was a concordant diagnosis of obstructive sleep apnoea in 7/9 home polysomnograms (78%), with an under-estimation of severity in three cases.

Discussion
This is the first study in children with neuromuscular disorders that demonstrates feasibility of transcutaneous CO2 monitoring during home polysomnography and directly compares Type 2 home and laboratory polysomnography. Differences in sleep architecture imply better sleep quality during home polysomnography. Although results indicate that home polysomnography is not sensitive enough to reliably identify sleep disordered breathing, our results are novel and show promise.
P048 Sleep in early childhood: Characteristics of infant sleep and mother-perceived sleep problems at 12-weeks postpartum, and the associations between perinatal depression and sleep in infants and preschoolers
Authors: Carter3 M , Paine S , Sweeney B , Taylor J , Signal T 
Published: December 2024

Abstract

Introduction
Sleep in the first years of life is the product of a complex interplay between numerous biopsychosocial factors. To further explore this, we first investigated sleep health equity in the infants of Māori (n=383) and non-Māori (n=702) mothers, the socio-ecological factors associated with infant sleep, and the characteristics of mother-perceived infant sleep problems. Next, we examined the role maternal depression in infant and preschooler sleep health.

Methods
Cross-sectional and longitudinal analysis of Moe Kura data collected in pregnancy(T1), 12-weeks postpartum(T2), and 3-years post-birth(T3). Multivariable and ordinal logistic models assessed the impact of different socio-ecological factors on infant sleep. Binary logistic models examined longitudinal associations between perinatal depression and infant and preschooler sleep, adjusting for key socio-demographic variables.

Results
Key developmental markers of infant sleep did not differ by maternal ethnicity. There were some ethnicity-based differences in sleep location. Bed-sharing and several socio-demographic factors were related to different dimensions of infant sleep, and mother-perceived sleep problems. Clinically significant prenatal depression was associated with less consolidated sleep in infants, and shorter sleep duration, greater average midsleep difference, CSHQ score, and sleep problems in preschoolers. Prenatal depressive remained independently associated with short sleep durations in preschoolers after controlling for key socio-demographic and sleep variables, and postnatal and concurrent depressive symptoms.

Discussion
Sleep at 12-weeks is highly variable and is associated with numerous socio-ecological factors. Sleep appears to be one pathway by which perinatal depression confers risk for poor child health outcomes. Findings support the need for more and better perinatal psychological services.
P049 Prevalence and Predictors of Comorbid Insomnia and Obstructive Sleep Apnoea in Chinese and Caucasian Patients
Authors: Mills B , Young A , O’Driscoll D 
Published: December 2024

Abstract

Introduction
Insomnia and obstructive sleep apnoea (OSA) often co-occur as co-morbid insomnia and obstructive sleep apnoea (COMISA). Despite having a comparable prevalence of OSA with Caucasians, Chinese patients have a distinct OSA phenotype that is less dependent on obesity. However, to date, no studies have investigated COMISA in this population. This study investigated the prevalence and predictors of COMISA in an ethnically diverse clinically referred population for investigation of sleep disordered breathing.

Methods
Data from 183 patients (27 Chinese, 156 Caucasian) undergoing in-laboratory diagnostic polysomnography were reviewed. COMISA was defined as an apnoea-hypopnea index (AHI) &gt;5 events/hour and an Insomnia Severity Index (ISI) score ≥15. Multivariable logistic and linear regression analyses were carried out on demographic and polysomnographic variables to determine predictors of COMISA and their associations with ISI respectively.

Results
Despite a similar prevalence of OSA (Caucasian 84.0% vs Chinese 81.5%, p=n.s.), Chinese participants showed significantly higher rates of insomnia (77.8% vs 41.3%, p&lt;0.001) and COMISA (59.3% vs 34.7%, p=0.028) than Caucasians. For Caucasians, Arousal Index (OR: 1.04, p=0.003) and Depression (OR: 1.15, p=0.019) were both significant predictors of COMISA. For Chinese participants, no predictors of COMISA were identified, however both Sleep Onset Latency (SOL) (B=-0.198, p=0.029) and AHI (B=-0.150, p=0.020) inversely predicted ISI.

Conclusion
In our clinical population, COMISA was more prevalent among Chinese patients, driven by a higher incidence of insomnia. Future research should focus on determining the relative contribution of ethnic physiological differences and immigratory stress to the potential existence of a distinct Chinese COMISA phenotype.