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Journal of Clinical Sleep Medicine :... Dec 2022Limited data exist concerning the indications, parameters, utility of daytime polysomnography, and treatment of infants with suspected sleep-related breathing disorders.
STUDY OBJECTIVES
Limited data exist concerning the indications, parameters, utility of daytime polysomnography, and treatment of infants with suspected sleep-related breathing disorders.
METHODS
We retrospectively reviewed all polysomnography undertaken in a quaternary pediatric hospital for term infants up to 6 months of age between January 2017 and December 2019. Outcomes were evaluated, including a comparison among diagnostic groups.
RESULTS
Of 161 infants (58% male), 77 (48%) were ≤ 2 months old, and 103 (61%) were referred for either craniofacial abnormalities or an airway malformation. Daytime (n = 100) vs nighttime (n = 61) studies showed no differences in sleep architecture or treatment rates. Apnea-hypopnea index was > 10 events/h in 137 (85%) and was similar across different diagnostic groups, and 97 (78%) were prescribed noninvasive ventilation, with a mean treatment duration of 13.4 ± 9 months. Of the infants who were commenced on noninvasive ventilation 75% did not require it beyond 24 months.
CONCLUSIONS
Polysomnographic sleep parameters and the number of treatments prescribed were equivalent whether the polysomnography was performed during daytime or nighttime. Treatment with noninvasive ventilation was required in the short term for most infants with sleep-related breathing disorders, regardless of the indication for referral.
CITATION
Singh J, Yeoh E, Castro C, Uy C, Waters K. Polysomnography in infants with clinical suspicion of sleep-related breathing disorders. . 2022;18(12):2803-2812.
Topics: Child; Infant; Male; Humans; Female; Polysomnography; Retrospective Studies; Sleep; Sleep Wake Disorders; Affect
PubMed: 35959947
DOI: 10.5664/jcsm.10222 -
Sensors (Basel, Switzerland) Apr 2021This article presents an overview of the advancements that have been made in the use of photoplethysmography (PPG) for unobtrusive sleep studies. PPG is included in the...
This article presents an overview of the advancements that have been made in the use of photoplethysmography (PPG) for unobtrusive sleep studies. PPG is included in the quickly evolving and very popular landscape of wearables but has specific interesting properties, particularly the ability to capture the modulation of the autonomic nervous system during sleep. Recent advances have been made in PPG signal acquisition and processing, including coupling it with accelerometry in order to construct hypnograms in normal and pathologic sleep and also to detect sleep-disordered breathing (SDB). The limitations of PPG (e.g., oxymetry signal failure, motion artefacts, signal processing) are reviewed as well as technical solutions to overcome these issues. The potential medical applications of PPG are numerous, including home-based detection of SDB (for triage purposes), and long-term monitoring of insomnia, circadian rhythm sleep disorders (to assess treatment effects), and treated SDB (to ensure disease control). New contact sensor combinations to improve future wearables seem promising, particularly tools that allow for the assessment of brain activity. In this way, in-ear EEG combined with PPG and actigraphy could be an interesting focus for future research.
Topics: Heart Rate; Humans; Photoplethysmography; Polysomnography; Sleep; Sleep Apnea Syndromes
PubMed: 33922042
DOI: 10.3390/s21092928 -
Neurology India 2020Epidemiological studies show a steady rise in the prevalence of obstructive sleep apnea (OSA). Untreated OSA is responsible for numerous chronic health conditions, motor...
Epidemiological studies show a steady rise in the prevalence of obstructive sleep apnea (OSA). Untreated OSA is responsible for numerous chronic health conditions, motor vehicle, and workplace-related accidents leading to substantial economic burden both to the individual and society. Multiple causes for OSA and a wide range of consequences has made its diagnosis and treatment difficult. Obstructive sleep apnea may be caused by anatomical variation, increased collapsibility of the upper airway, low sleep arousal threshold, and exaggerated response to desaturation. Lifestyle changes, anatomical corrective surgeries, and oral appliances have been used but patient compliance is poor as it interferes in the daily routine. Neuromodulation is a promising functional modifying option that addresses the cause of obstructive sleep apnea at multiple levels.
Topics: Humans; Polysomnography; Sleep; Sleep Apnea, Obstructive
PubMed: 33318366
DOI: 10.4103/0028-3886.302456 -
NeuroImage Oct 2023Human cognitive performance is a key function whose biological foundations have been partially revealed by genetic and brain imaging studies. The sleep...
Human cognitive performance is a key function whose biological foundations have been partially revealed by genetic and brain imaging studies. The sleep electroencephalogram (EEG) is tightly linked to structural and functional features of the central nervous system and serves as another promising biomarker. We used data from MrOS, a large cohort of older men and cross-validated regularized regression to link sleep EEG features to cognitive performance in cross-sectional analyses. In independent validation samples 2.5-10% of variance in cognitive performance can be accounted for by sleep EEG features, depending on the covariates used. Demographic characteristics account for more covariance between sleep EEG and cognition than health variables, and consequently reduce this association by a greater degree, but even with the strictest covariate sets a statistically significant association is present. Sigma power in NREM and beta power in REM sleep were associated with better cognitive performance, while theta power in REM sleep was associated with worse performance, with no substantial effect of coherence and other sleep EEG metrics. Our findings show that cognitive performance is associated with the sleep EEG (r = 0.283), with the strongest effect ascribed to spindle-frequency activity. This association becomes weaker after adjusting for demographic (r = 0.186) and health variables (r = 0.155), but its resilience to covariate inclusion suggest that it also partially reflects trait-like differences in cognitive ability.
Topics: Male; Humans; Aged; Cross-Sectional Studies; Polysomnography; Sleep; Electroencephalography; Cognition
PubMed: 37574121
DOI: 10.1016/j.neuroimage.2023.120319 -
Journal of Sleep Research Dec 2023The importance polysomnography (PSG) in the diagnosis and treatment process of insomnia disorder (ID) remains highly disputed. This review summarises the state of the... (Review)
Review
The importance polysomnography (PSG) in the diagnosis and treatment process of insomnia disorder (ID) remains highly disputed. This review summarises the state of the science regarding PSG indications and findings in ID, and the indications to conduct PSG in ID as stated by relevant guidelines. It then highlights the most relevant questions regarding the topic, including the relevance of ID subtyping, to allow an individualised pharmacological or psychotherapeutic treatment approach.
Topics: Humans; Polysomnography; Sleep Initiation and Maintenance Disorders
PubMed: 37680011
DOI: 10.1111/jsr.14036 -
PloS One 2022The aim of the present study was to reveal the associations between skeletal and soft tissue features of the nasomaxillary complex and development and severity of...
The aim of the present study was to reveal the associations between skeletal and soft tissue features of the nasomaxillary complex and development and severity of obstructive sleep apnea (OSA) in adolescents. A total of 100 adolescents (mean age, 14.9 ± 1.4 years; age range, 13-17 years) were enrolled. All participants underwent full-night polysomnography and had an assessment of size and position of the tongue, tonsillar size, body mass index (BMI), and circumference of the waist, neck, and hip. The skeletal features of the nasomaxillary complex, including the zygomatic arch width, nasal cavity width, nasal base width, intercanine width, intermolar width, maxillary dental arch length, palatal vault angle, palatal depth, and SNA were measured on the three-dimensional images constructed with computed tomography data. Participants with an apnea and hypopnea index (AHI) of lower than 5 (AHI ≤ 5) were classified as control and participants while those with an AHI of greater than 5 were classified as OSA group. Each variable with a significant outcome in the independent T-test and age and sex factors were integrated into the multivariate linear regression and the dependent variable was AHI. There were significant differences in the BMI and hip circumference between two groups. The width of nasal base, palatal vault angle and SNA also showed significant differences between groups. The results from multivariate linear regression demonstrated that the BMI, width of the nasal base, and SNA showed significant contributions to the severity of OSA in adolescents. The features of the nasomaxillary complex seemed to have significant influences on development and severity of OSA.
Topics: Adolescent; Body Mass Index; Humans; Maxilla; Polysomnography; Sleep Apnea, Obstructive; Tongue
PubMed: 35925992
DOI: 10.1371/journal.pone.0272262 -
Journal of Sleep Research Dec 2022This work aimed to evaluate if a contact-free radar sensor can be used to observe ultradian patterns in sleep physiology, by way of a data processing tool known as...
This work aimed to evaluate if a contact-free radar sensor can be used to observe ultradian patterns in sleep physiology, by way of a data processing tool known as Locomotor Inactivity During Sleep (LIDS). LIDS was designed as a simple transformation of actigraphy recordings of wrist movement, meant to emphasise and enhance the contrast between movement and non-movement and to reveal patterns of low residual activity during sleep that correlate with ultradian REM/NREM cycles. We adapted the LIDS transformation for a radar that detects body movements without direct contact with the subject and applied it to a dataset of simultaneous recordings with polysomnography, actigraphy, and radar from healthy young adults (n = 12, four nights of polysomnography per participant). Radar and actigraphy-derived LIDS signals were highly correlated with each other (r > 0.84), and the LIDS signals were highly correlated with reduced-resolution polysomnographic hypnograms (r >0.80, r >0.76). Single-harmonic cosine models were fitted to LIDS signals and hypnograms; significant differences were not found between their amplitude, period, and phase parameters. Mixed model analysis revealed similar slopes of decline per cycle for radar-LIDS, actigraphy-LIDS, and hypnograms. Our results indicate that the LIDS technique can be adapted to work with contact-free radar measurements of body movement; it may also be generalisable to data from other body movement sensors. This novel metric could aid in improving sleep monitoring in clinical and real-life settings, by providing a simple and transparent way to study ultradian dynamics of sleep using nothing more than easily obtainable movement data.
Topics: Young Adult; Humans; Radar; Sleep; Polysomnography; Actigraphy; Movement
PubMed: 35794011
DOI: 10.1111/jsr.13687 -
Sleep Medicine Reviews Jun 2022Sleep is characterized by an intricate variation of brain activity over time. Measuring these temporal sleep dynamics is relevant for elucidating healthy and... (Review)
Review
Sleep is characterized by an intricate variation of brain activity over time. Measuring these temporal sleep dynamics is relevant for elucidating healthy and pathological sleep mechanisms. The rapidly increasing possibilities for obtaining and processing sleep registrations have led to an abundance of data, which can be challenging to analyze and interpret. This review provides a structured overview of approaches to represent temporal sleep dynamics, categorized based on the way the source data is compressed. For each category of representations, we describe advantages and disadvantages. Standard human-defined 30-s sleep stages have the advantages of standardization and interpretability. Alternative human-defined representations are less standardized but offer a higher temporal resolution (in case of microstructural events such as sleep spindles), or reflect non-categorical information (for example spectral power analysis). Machine-learned representations offer additional possibilities: automated sleep stages are useful for handling large quantities of data, while alternative sleep stages obtained from clustering data-driven features could aid finding new patterns and new possible clinical interpretations. While newly developed sleep representations may offer relevant insights, they can be difficult to interpret in for example a clinical context. Therefore, there should always be a balance between developing these sophisticated sleep analysis techniques and maintaining clinical explainability.
Topics: Electroencephalography; Humans; Learning; Polysomnography; Sleep; Sleep Stages
PubMed: 35278893
DOI: 10.1016/j.smrv.2022.101611 -
Journal of Medical Internet Research Jul 2023Digital clinical tools are a new technology that can be used in the screening or diagnosis of obstructive sleep apnea (OSA), notwithstanding the crucial role of... (Review)
Review
BACKGROUND
Digital clinical tools are a new technology that can be used in the screening or diagnosis of obstructive sleep apnea (OSA), notwithstanding the crucial role of polysomnography, the gold standard.
OBJECTIVE
This study aimed to identify, gather, and analyze the most accurate digital tools and smartphone-based health platforms used for OSA screening or diagnosis in the adult population.
METHODS
We performed a comprehensive literature search of PubMed, Scopus, and Web of Science databases for studies evaluating the validity of digital tools in OSA screening or diagnosis until November 2022. The risk of bias was assessed using the Joanna Briggs Institute critical appraisal tool for diagnostic test accuracy studies. The sensitivity, specificity, and area under the curve (AUC) were used as discrimination measures.
RESULTS
We retrieved 1714 articles, 41 (2.39%) of which were included in the study. From these 41 articles, we found 7 (17%) smartphone-based tools, 10 (24%) wearables, 11 (27%) bed or mattress sensors, 5 (12%) nasal airflow devices, and 8 (20%) other sensors that did not fit the previous categories. Only 8 (20%) of the 41 studies performed external validation of the developed tool. Of these, the highest reported values for AUC, sensitivity, and specificity were 0.99, 96%, and 92%, respectively, for a clinical cutoff of apnea-hypopnea index (AHI)≥30. These values correspond to a noncontact audio recorder that records sleep sounds, which are then analyzed by a deep learning technique that automatically detects sleep apnea events, calculates the AHI, and identifies OSA. Looking at the studies that only internally validated their models, the work that reported the highest accuracy measures showed AUC, sensitivity, and specificity values of 1.00, 100%, and 96%, respectively, for a clinical cutoff AHI≥30. It uses the Sonomat-a foam mattress that, aside from recording breath sounds, has pressure sensors that generate voltage when deformed, thus detecting respiratory movements, and uses it to classify OSA events.
CONCLUSIONS
These clinical tools presented promising results with high discrimination measures (best results reached AUC>0.99). However, there is still a need for quality studies comparing the developed tools with the gold standard and validating them in external populations and other environments before they can be used in clinical settings.
TRIAL REGISTRATION
PROSPERO CRD42023387748; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=387748.
Topics: Adult; Humans; Surveys and Questionnaires; Sleep Apnea, Obstructive; Sleep Apnea Syndromes; Sleep; Polysomnography
PubMed: 37494079
DOI: 10.2196/47735 -
Sleep & Breathing = Schlaf & Atmung Sep 2022Obstructive sleep apnoea (OSA) is a cause of hypoxia, and the correlation between hypoxia and microvascular complications is well known. Microalbuminuria (MAU) is a...
INTRODUCTION
Obstructive sleep apnoea (OSA) is a cause of hypoxia, and the correlation between hypoxia and microvascular complications is well known. Microalbuminuria (MAU) is a marker for endovascular dysfunction and an indicator of cardiovascular events and all-cause mortality in the general population. The aim of this study was to investigate the relationship between microvascular damage and the metabolic complications of OSA based on the presence of MAU.
MATERIAL AND METHOD
Urinary albumin/creatinine ratio (ACR) and microalbumin level were examined in patients with an apnoea-hypopnoea index (AHI) greater than 5/h (study group) and in patients with an AHI less than 5/h (control group). The exclusion criteria were other possible causes of MAU (hypertension, nephropathy, coronary artery disease, and severe thyroid dysfunction).
RESULTS
Of 103 patients enrolled, 80 formed the group with OSA and 23 served as controls. According to the AHI values, the patients were divided into four groups as normal, mild, moderate and severe. There was no significant difference between the four groups in terms of the microalbumin level and urinary albumin/creatinine ratio.
CONCLUSION
In this study, no significant relationship was found between MAU and sleep apnoea.
Topics: Albumins; Albuminuria; Creatinine; Humans; Hypoxia; Polysomnography; Sleep Apnea Syndromes; Sleep Apnea, Obstructive
PubMed: 34386891
DOI: 10.1007/s11325-021-02461-6