Polysomnographic Sleep Research Articles

Performance of consumer wrist-worn type sleep tracking devices compared to polysomnography: a meta-analysis.

The use of sleep tracking devices is increasing as people become more aware of the importance of sleep and interested in monitoring their patterns. With many devices on the market, we conducted a meta-analysis comparing sleep-scoring data from consumer wrist-worn sleep tracking devices with polysomnography to validate the accuracy of devices. We retrieved studies from the databases of SCOPUS, EMBASE, Cochrane Library, PubMed, Web of Science, and KoreaMed, and OVID Medline up to March 2024. We compared personal data about participants and information on objective sleep parameters. From 24 studies, data of 798 patient using Fitbit, Jawbone, myCadian watch, WHOOP strap, Garmin, Basis B1, Zulu Watch, Huami Arc, E4 wristband, Fatigue Science Readiband, Apple Watch, or Xiaomi Mi Band 5 were analyzed. There were significant differences in total sleep time {mean difference (MD) -16.854, 95% confidence interval (CI) [-26.332; -7.375]}, sleep efficiency (MD -4.691, 95% CI [-7.079; -2.302]), sleep latency (MD 2.574, 95% CI [0.606; 4.542]), and wake after sleep onset (MD 13.255, 95% CI [4.522; 21.988]) between all consumer sleep tracking devices and polysomnography. In subgroup analysis, there was no significant difference of wake after sleep onset between Fitbit and polysomnography. There was also no significant difference sleep latency between other devices and polysomnography. Fitbit measured sleep latency longer than other devices, and other devices measured wake after sleep onset longer. Based on Begg and Egger's test, there was no publication bias in total sleep time and sleep efficiency. Wrist-worn sleep tracking devices, while popular, are not as reliable as polysomnography in measuring key sleep parameters like total sleep time, sleep efficiency, and sleep latency. Physicians and consumers should be aware of their limitations and interpret results carefully, though they can still be useful for tracking general sleep patterns. Further improvements and clinical studies are needed to enhance their accuracy.

Short Sleep Duration and Hypertension: A Double Hit for the Brain.

Short sleep duration has been associated with an increased risk of cognitive impairment and dementia. Short sleep is associated with elevated blood pressure, yet the combined insult of short sleep and hypertension on brain health remains unclear. We assessed whether the association of sleep duration with cognition and vascular brain injury was moderated by hypertensive status. A total of 682 dementia-free participants (mean age, 62±9 years; 53% women) from the Framingham Heart Study completed assessments of cognition, office blood pressure, and self-reported habitual and polysomnography-derived sleep duration; 637 underwent brain magnetic resonance imaging. Linear regressions were performed to assess effect modification by hypertensive status on total sleep time (coded in hours) and cognitive and magnetic resonance imaging outcomes. There was a significant interaction between sleep duration and hypertensive status when predicting executive function/processing speed (Trail Making B-A) and white matter hyperintensities. When results were stratified by hypertensive status, longer sleep duration was associated with better executive functioning/processing speed scores in the hypertensive group (meaning that shorter sleep duration was associated with poorer executive function/processing speed scores) (self-report sleep: β=0.041 [95% CI, 0.012-0.069], P=0.005; polysomnography sleep: β=0.045 [95% CI, 0.002-0.087], P=0.038), but no association was observed for the normotensive group. Similarly, shorter subjective sleep duration was associated with higher white matter hyperintensity burden in the hypertensive group (β=-0.115 [95% CI, -0.227 to -0.004], P=0.042), but not in the normotensive group. In individuals with hypertension, shorter sleep duration was associated with worse cognitive performance and greater brain injury.

Sleep in the dromedary camel: features of the 'first night effect'.

The 'first night effect' (FNE) is a well-known phenomenon in polysomnographic (PSG) sleep studies, resulting in significant variations in the macrostructure of wakefulness and sleep states, particularly between the initial and subsequent sleep recording sessions. The FNE phenomenon during sleep has been studied in various species, revealing complex variations between several sessions of sleep recording. The present study used a non-invasive PSG method to examine differences between various vigilance states in four adult female dromedary camels during 4 consecutive nights and days of sleep recording. The results indicate the presence of a FNE in the architecture of the dromedary camel's vigilance states. On the first night, the proportions of wakefulness and light non-rapid eye movment (NREM) sleep (drowsiness) were higher, at a mean (standard error of the mean [SEM]) of 40.92% (0.88%) and 14.93% (0.37%), respectively; while the proportion of rumination (mean [SEM] 29.55% [0.92%]) was lower compared to consecutive nights. No FNE was found on deep NREM sleep, while night-time REM sleep had a shorter proportion during the first night compared to subsequent consecutive nights. A significantly lower REM/total sleep time (TST) ratio was observed on the first night. Daytime comparisons did not show any significant differences for the different vigilance states. The increase in wakefulness and light NREM sleep and the reduction in REM sleep and REM/TST sleep on the first night indicate a decline in sleep quality in the dromedary camel due to the FNE. Thus, we recommend excluding from a PSG sleep study at least the first session/night of the recordings to ensure accurate results.

Gender-specific associations between sleep stages and cardiovascular risk factors.

Sleep characteristics are associated with cardiovascular disease (CVD) risk and both sleep and CVD risk vary by gender. Our objective was to examine associations between polysomnographic sleep characteristics and CVD risk after excluding moderate-severe sleep apnea, and whether gender modifies these associations. This was a cross-sectional study with at-home polysomnography in adults in Brazil (n= 1,102 participants with apnea-hypopnea index (AHI)<15 events/hour). Primary exposures were N3, REM, wake after sleep onset (WASO), arousal index (AI) and AHI, and outcomes were blood pressure (BP) and lipid levels. Associations between sleep and BP varied by gender. In women, more N3 was associated with lower systolic BP (-0.40 mmHg per 10 minutes, 95%CI -0.71, -0.09), lower diastolic BP (-0.29 mmHg per 10 minutes, 95%CI -0.50, -0.07), and lower odds of hypertension (OR 0.94, 95%CI 0.89, 0.98). In men, more WASO was associated with higher systolic BP (0.41 mmHg per 10 minutes, 95%CI 0.08, 0.74) and higher odds of hypertension (OR 1.07, 95%CI 1.01, 1.14). No interactions by gender were observed for lipids. More WASO was associated with lower total cholesterol (-0.71 per 10 minutes, 95%CI -1.37, -0.05). Higher AHI was associated with higher total cholesterol (+0.97 per event/hour, 95%CI 0.24, 1.70) and higher LDL (+0.84 per event/hour, 95%CI 0.04, 1.64). N3 is more strongly associated with BP in women, which is consistent with other studies demonstrating gender differences in BP control and CVD risk and adds a novel risk factor. Longitudinal and interventional studies are required to determine whether changes in N3 result in BP changes.

Exploring the Factors Associated with Sleep Concerns and Perceived Need for Treatment among Patients with Sleep Disorders

ABSTRACT Objectives This study aimed to investigate the factors affecting patient perceptions of sleep concerns and the need for treatment to understand and enable effective management. Methods This cross-sectional study analyzed data collected between November 2018 and October 2022 at the sleep clinic of a tertiary hospital. Adults aged > 19 years who completed sleep questionnaires and polysomnography (PSG) were included. Logistic regression models were used to assess the associations between demographic, clinical, and social factors, sleep questionnaire responses, and PSG data with self-reported sleep concerns (n = 3,457) and perceived need for treatment(n = 3,135). Results Insomnia-related symptoms affect both sleep concerns and need for treatment, and sleep maintenance is the most influential factor in both sleep concerns (odds ratio[OR] = 19.74, 95% confidence interval[CI] 6.17–63.20) and need for treatment (OR = 3.84, 95% CI 2.19–6.73). Young age (OR = 2.66, 95% CI 1.38–5.12), employment status, and daily life dysfunction were determinants of treatment readiness. None of the PSG parameters showed an independent association with sleep concerns or need for treatment. Conclusions Sleep maintenance problems had the most profound effect on sleep concerns and the need for treatment. Social needs are key factors in seeking treatment. A discrepancy has been noted between the effects of subjective and objective factors on sleep concerns and the need for treatment; therefore, patient management should pay attention to subjective sleep complaints.

Polysomnographic insights into the attention-deficit/hyperactivity disorder and obstructive sleep apnea connection in children

IntroductionThere is a high prevalence of sleep disturbances and disorders such as obstructive sleep apnea (OSA) in children with attention-deficit hyperactivity disorder (ADHD), though this relationship remains poorly characterized by objective measures. Polysomnographic studies (PSGs) on sleep disruptions in ADHD have yielded inconsistent results. Few have studied polysomnograms in stimulant-medicated vs. non-medicated children with ADHD+/-OSA. This study aimed to elucidate pathognomonic polysomnographic sleep disturbances in children diagnosed with ADHD+/-OSA.MethodsMedical charts and polysomnograms were retrospectively reviewed for children ages 4-18 who underwent overnight polysomnography at a tertiary care center from 2019 to 2022. ADHD diagnosis was determined by ICD code F90, and OSA was defined by apnea-hypopnea indices (AHI) ≥5 events/hour. Four groups were evaluated: children without OSA or ADHD, children with OSA alone, children with ADHD alone, and children with ADHD+OSA. Statistical analyses identified significant differences among variables of interest.Results4,013 children met the study criteria. 2,372 children were without OSA and without ADHD (59.1%), 1,197 with OSA alone (29.8%), 333 with ADHD alone (8.3%), and 111 with ADHD and OSA (2.8%). Insomnia (ICD code G47.00) was prevalent in children with ADHD alone. However, they exhibited significantly better sleep efficiency (SE), than children with OSA alone, and SE did not significantly differ from the other groups. No significant difference in periodic limb movements (PLMs) was found across all groups. The above results held true even after correcting for stimulant prescription.ConclusionThe increased frequency of clinical insomnia diagnoses in children with ADHD is not associated with any traditional parameters on polysomnogram. Innovative subclinical polysomnographic biomarkers are needed to identify sleep characteristics unique to ADHD. In children with both ADHD and OSA, PSG results do not reveal any distinctive sleep disturbances which cannot be better explained by OSA alone. These findings underscore the importance of screening for OSA in patients with ADHD and clinically assessing for other sleep concerns.

Effects of transcranial magnetic stimulation on sleep quality in fibromyalgia: A double-blind randomized clinical trial

ObjectivesThe aim of the current study was to assess the therapeutic impact of repeated low frequency repetitive transcranial magnetic stimulation (rTMS) over the right dorsolateral prefrontal cortex (rDLPFC) on sleep problems in patients with fibromyalgia. MethodsForty two patients with fibromyalgia who had sleep difficulties were randomly assigned to receive either real or sham rTMS treatment. Patients received 20 treatment sessions (5 sessions per week) in which 1200 rTMS pulses were applied over the rDLPFC using a frequency of 1 Hz and an intensity of 120 % of the resting motor threshold. All participants were evaluated at baseline, and then 1 month and 3 months after treatment using the Fibromyalgia Impact Questionnaire (FIQ), Pittsburgh Sleep Quality Index (PSQI), Medical Outcomes Study Sleep Scale (MOS-SS) and polysomnography (PSG). ResultsThere were significant time (pre, 1month, and 3 months)X group (real versus sham group) interactions in all 3 clinical rating scales; FIQ (Df = 1.425, F = 237.645, P = 0.001), PSQI (Df = 2, F = 64.005, P = 0.001), MOS-SS (Df = 2, F = 28.938, P = 0.001) due to the fact that the real group improved significantly more over time than the sham group. Similarly, the real group improved more on the PSG parameters than the sham group. The effect sizes were large both in the rating scales and PSG, indicating a substantial clinical improvement. Correlation as an exploratory analysis between the changes (pre - post 3 months) in MOS-SS and PLMs index (/h) showed significant negative correlation (r = −0.643, P = 0.002). Conclusions20 sessions of LF-rTMS over rDLPFC can improve sleep quality in both subjective (PSQI and MOSS) as well as objective (PSG) rating scales.

Construction and validation of clinical prediction model of tongue base collapse under drug-induced sleep endoscopy in OSA patients

Objective: To analyze the correlation between drug-induced sleep endoscopy (DISE), results, polysomnography (PSG) indicators, and clinical parameters in patients with obstructive sleep apnea (OSA), and to establish and validate a predictive model for tongue base plane obstruction. Methods: This retrospective study analyzed 117 OSA patients diagnosed via PSG and treated at the Department of Otolaryngology-Head and Neck Surgery, Nanfang Hospital, Southern Medical University, between October 2014 and March 2022. The cohort comprised of 114 males and 3 females, with an age range of 20 to 54 years (mean age 38.1±8.4 years). Data on DISE results, PSG results, and clinical indicators were collected for all 117 patients. Logistic regression analysis was performed to identify relevant indicators, and a predictive model for tongue base plane obstruction was constructed and internally validated using the R programming language. Results: Univariate logistic regression analysis identified four independent risk factors for predicting tongue root plane obstruction: tonsil grading, N2, N3, and rapid eye movement sleep(REM) stage [OR:0.412(0.260~0.652),1.045(1.012~1.079),0.943(0.903~0.984),0.961(0.925~0.998),P <0.05]. Multivariate logistic regression analysis confirmed tonsil grading and N3 sleep stage (12.48±12.22%) as significant predictors. A nomogram model incorporating these factors demonstrated good predictive performance, with an area under curve(AUC) of 0.82 (95%CI: 0.548-1.000), an optimal cutoff of 0.519, a specificity of 80.0%, and a sensitivity of 86.7%. Internal validation of the model in the validation cohort yielded an AUC of 0.751 (95%CI: 0.625-0.876). Conclusions: Tongue base plane obstruction observed during DISE in OSA patients is associated with tonsil grading and N3 sleep stage duration. The predictive model developed for tongue base plane obstruction based on DISE demonstrates good efficacy, as evidenced by its internal validation.

LANMAO sleep recorder versus polysomnography in neonatal EEG recording and sleep analysis

BackgroundThe field of neonatal sleep analysis is burgeoning with devices that purport to offer alternatives to polysomnography (PSG) for monitoring sleep patterns. However, the majority of these devices are limited in their capacity, typically only distinguishing between sleep and wakefulness. This study aims to assess the efficacy of a novel wearable electroencephalographic (EEG) device, the LANMAO Sleep Recorder, in capturing EEG data and analyzing sleep stages, and to compare its performance against the established PSG standard. MethodsThe study involved concurrent sleep monitoring of 34 neonates using both PSG and the LANMAO device. Initially, the study verified the consistency of raw EEG signals captured by the LANMAO device, employing relative spectral power analysis and Pearson correlation coefficients (PCC) for validation. Subsequently, the LANMAO device’s integrated automated sleep staging algorithm was evaluated by comparing its output with expert-generated sleep stage classifications. ResultsAnalysis revealed that the PCC between the relative spectral powers of various frequency bands during different sleep stages ranged from 0.28 to 0.48. Specifically, the correlation for delta waves was recorded at 0.28. The automated sleep staging algorithm of the LANMAO device demonstrated an overall accuracy of 79.60 %, Cohen kappa of 0.65, and F1 Score of 76.93 %. Individual accuracy for Wake at 87.20 %, NREM at 85.70 %, and REM Sleep at 81.30 %. ConclusionWhile the LANMAO Sleep Recorder’s automated sleep staging algorithm necessitates further refinement, the device shows promise in accurately recording neonatal EEG during sleep. Its potential for minimal invasiveness makes it an appealing option for monitoring sleep conditions in newborns, suggesting a novel approach in the field of neonatal sleep analysis.

Polysomnography parameters in a large cohort of people with multiple sclerosis

BackgroundDisordered and disturbed sleep is quite common among people with multiple sclerosis (PwMS). It is associated with fatigue one of most disabling symptoms in MS. This study aims at comparing polysomnographic (PSG) sleep parameters in a large single cohort of PwMS from a single center to that of the published norms. Hence establishing PSG parameters in PwMS. MethodsThis is a retrospective review of 299 consecutive adult PwMS who were seen and evaluated with an overnight PSG at a Comprehensive MS Care Center between 11/19/2001 to 9/17/2014. Data extracted from the PSG included Total Sleep Time (TST), sleep efficiency (SE), sleep onset latency (SOL), Relative REM latency, total apnea-hypopnea indices (AHI), spontaneous arousal indices (AI), total periodic leg movements indices (PLMI) and, sleep architecture metrics including percentage spent in stages N1/N2, N3, and REM. ResultsPwMS, compared to normative data, had, on average, 85.9 min shorter TST (p < 0.001), 27.3 min longer SOL (p < 0.0001), 62.1 min longer REM latency (p < 0.0001), 10.7 % lower SE (p < 0.0001), 16.4 % more N1/N2 (p < 0.0001) and 11.4 % less N3 (p < 0.0001). REM latency The prevalence of Obstructive Sleep Apnea (OSA) was high at 60.7 % and the mean AHI was higher by 11.1 events per hour (p < 0.0001). ConclusionsThis study establishes PSG parameters in the largest PwMS cohort reported to date. It is important to be vigilant of sleep complaints in PwMS. Future prospective large single cohort studies with standardized methods are needed to further understand sleep disturbances in PwMS as well as their causes and implications.

Sleep, Health Outcomes and Body Weight (SHOW) study: a measurement burst design study on sleep and risk factors for obesity in black emerging adults in North Carolina, USA

IntroductionBlack emerging adults (18–28 years) have the highest risk of short sleep duration and obesity. This increased risk may be partly explained by greater stress levels, which may result from...

Sleep Patterns Analysis Using Polysomnography: A Comparison Between Active and Sedentary Male

While there is a rising focus on sleep issues among population, a notable gap exists in the comparative analyses of sleep patterns between Active and Sedentary Male. The purpose of this study is to investigate and compare sleep patterns and polysomnography measures between active and sedentary men. Total ten male participants were randomly selected to fulfill the purpose of the study. All the participants were in the age group 18-25 only. The selected variable, i.e. Total sleep time (TST), sleep onset latency (SOL), sleep efficiency (SE) and wake after sleep onset (WASO) was measured by RMS Quest 24/32 channel polysomnography machine. The obtained data were analyzed by applying independent t-test to identify the significant difference. An α-value &lt;0.05 was considered statistically significant. Results indicate that significant difference were found in selected variables as total sleep time (TST) of active and sedentary male, as the p-value (000) was &lt; 0.05, a significant difference in the sleep onset latency (SOL) of active and sedentary male, as the p-value (000) was &lt; 0.05, a significant difference in the wake after sleep onset (WASO) of active and sedentary male, as the p-value (000) was &lt; 0.05, also a significant difference in the sleep efficiency (SE) of active and sedentary male, as the p-value (000) was &lt; 0.05, at 5% level of significance.

Exploring the interplay of depression, sleep quality, and hearing in tinnitus-related handicap: insights from polysomnography and pure-tone audiometry

BackgroundTinnitus affects approximately 740 million adults globally, involving hearing, emotion, and sleep systems. However, studies using polysomnography and pure-tone audiometry (PTA) are limited. We aimed to assess the correlation between tinnitus and hearing, sleep quality, characteristics, and depression using polysomnography and PTA.MethodsIn this cross-sectional study, we divided participants into tinnitus and non-tinnitus groups. We included 100 outpatients (65 with tinnitus, 35 without) from a medical center in Taiwan, who underwent polysomnography and completed rating scales including the Patient Health Questionnaire-9 (PHQ-9), Chinese version of the Pittsburgh Sleep Quality Index (PSQI), and Chinese-Mandarin version of the Tinnitus Handicap Inventory (THI-CM). We analyzed correlations, conducted group comparisons, assessed factors related to THI-CM scores, constructed ROC curves to predict depression in the tinnitus group, and performed multinomial and logistic regression to explore associations.ResultsDescriptive statistics identified a cohort with mean age 53.9 ± 12.80 years, 63% exhibited PHQ-9 scores ≥ 10, and 66% had Apnea–Hypopnea Index (AHI) > 5. The ratio of rapid eye movement and deep sleep to stage 1 + 2 sleep was relatively low and non-significant. Likewise, leg movements was higher in the tinnitus group but not statistically significant. In the tinnitus group, 63.08% had depression, and 81.54% had AHI > 5. Univariate logistic regression linked tinnitus to AHI > 5 (Odds ratio (OR) 2.67, p = 0.026) and male sex (OR 2.49, p = 0.034). A moderate positive correlation was found between the THI-CM score and PHQ-9 score (rs = 0.50, p < 0.001). Further adjustment for obstructive sleep apnea showed associations between PHQ-9 (total score) or depression and THI-CM Grade 3–5 (OR = 1.28; OR = 8.68). Single- and multifactor regression analyses highlighted significant associations of PSQI scores > 13 (OR 7.06, p = 0.018) and THI-CM scores > 47 (OR 7.43, p = 0.002) with depression.ConclusionsOur study recruited tinnitus participants with slight or mild hearing loss and mild tinnitus handicap. Depression was identified as a predominant factor in tinnitus-related handicap. The mild tinnitus handicap in tinnitus participants may explain the lack of significant differences in depression, sleep quality, and polysomnographic sleep characteristics between tinnitus and non-tinnitus groups. Further extensive and prospective studies are needed to elucidate the complex links among depression, sleep, and tinnitus.

Effects of Acute Aerobic Exercise Versus Acute Zolpidem Intake on Sleep in Individuals with Chronic Insomnia

Abstract Introduction Sleeping pills are assumed to be the most efficacious means of treating acute insomnia, but their use has associated risks. Exercise could provide a healthy alternative treatment for insomnia, particularly if it could be shown to have comparable efficacy to sleeping pills. Objective The purpose of this study was to compare the effects of acute exercise versus zolpidem on chronic insomnia. Methods Seventeen participants with chronic insomnia (recruited from advertisements) participated in a parallel randomized controlled trial (exercise, n = 9; zolpidem, n = 8). Participants in the exercise treatment performed treadmill exercise for 50 minutes, at 50% of heart rate reserve, between 11 am and 2 pm. Participants in the zolpidem treatment received a 10 mg dose of zolpidem immediately before bedtime. Following baseline and following the treatment, sleep measures included sleep diary, polysomnography, and actigraphy. Treatments were compared with non-inferiority analysis, ANOVA, and effect sizes. Results Non-inferiority of exercise relative to zolpidem was observed for polysomnographic measurement of sleep latency. For all other comparisons, the non-inferiority was inconclusive. Significant treatment-by-time interactions were observed for N3 sleep (p = 0.04) and REM sleep (p = 0.03). No other significant treatment-by-time effects were observed. Subjective sleep duration and sleep efficiency, and polysomnographic measurement of sleep efficiency were significantly increased after zolpidem and exercise. The effect size between groups was small for these variables. Conclusion Exercise impacted sleep in a similar way to zolpidem in participants with chronic insomnia. Considering the far superior health benefits of exercise, further research addressing this question is warranted.

Assessment of sleep quality in patients with orofacial pain and headache complaints: A polysomnographic study.

Sleep is a physiological function essential for survival, recovery, tissue repair, memory consolidation, and brain function. Pain is also an indispensable aspect of human life. The coexistence of sleep disorders and pain is often described in the literature, yet it is critical to define sleep not only subjectively but also using objective instrumental methods, such as polysomnography, that provide data on sleep quality. The aim of the study was to determine the relationship between orofacial pain (OFP), headache (HA) and sleep quality using subjective and objective sleep quality assessment methods. Additionally, we aimed to explore whether poor sleep quality was related to OFP and HA alone or was influenced by the coexistence of psycho-emotional factors such as depression, anxiety and stress. A single-night video-polysomnography was performed on patients from the Outpatient Clinic for Temporomandibular Disorders at Wroclaw Medical University, Poland, who had been diagnosed with OFP and HA. Additionally, questionnaires were employed to assess sleep quality, pain, HA, and the psycho-emotional state. There was no statistically significant relationship between the severity of OFP and HA and polysomnographic sleep quality parameters. On the other hand, the quality of sleep as determined by questionnaire studies correlated markedly with the severity of experienced pain. The severity of pain was found to be significantly correlated with depression, anxiety and perceived stress scores. The psycho-emotional aspects are of critical importance in the perception of OFP and HA. They can be associated with worsened subjective sleep quality, insomnia or daytime sleepiness. Therefore, the treatment of such patients must be preceded by a comprehensive assessment of their psychoemotional state, as anxiety, stress and depression can significantly influence the course of the disease and the response to treatment procedures.

Effects of COVID-19 on Sleep Services Use and Its Recovery.

The COVID-19 pandemic affected the utilization of various healthcare services differentially. Sleep testing services utilization (STU), including Home Sleep Apnea Testing (HSAT) and Polysomnography (PSG), were uniquely affected. We assessed the effects of the pandemic on STU and its recovery using the Veterans Health Administration (VHA) data. A retrospective cohort study from the VHA between 01/2019 and 10/2023 of veterans with age ≥ 50. We extracted STU data using Current Procedural Terminology codes for five periods based on STU and vaccination status: pre-pandemic (Pre-Pan), pandemic sleep test moratorium (Pan-Mor), and pandemic pre-vaccination (Pan-Pre-Vax), vaccination (Pan-Vax), and postvaccination (Pan-Post-Vax). We compared STU between intervals (Pre-Pan as the reference). Among 261,371 veterans (63.7±9.6 years, BMI 31.9±6.0 kg/m², 80% male), PSG utilization decreased significantly during Pan-Mor (-56%), Pan-Pre-Vax (-61%), Pan-Vax (-42%), and Pan-Post-Vax (-36%) periods all compared to Pre-Pan. HSAT utilization decreased significantly during the Pan-Mor (-59%) and Pan-Pre-Vax (-9%) phases compared to the Pre-Pan and subsequently increased during Pan-Vax (+6%) and Pan-Post-Vax (-1%) periods. Over 70% of STU transitioned to HSAT, and its usage surged five months after the vaccine Introduction. Sleep testing services utilization recovered differentially during the pandemic (PSG vs HSAT), including a surge in HSAT utilization post-vaccination.

Impact of continuous positive airway pressure for severe sleep apnea on very late recurrence in patients receiving catheter ablation of atrial fibrillation

Abstract Background Sleep apnea (SA) represents a risk for arrhythmia recurrence following catheter ablation (CA) of atrial fibrillation (AF). Continuous positive airway pressure therapy (CPAP) is the established standard treatment for moderate to severe SA. While CPAP exhibits promise in reducing AF recurrences post-CA, the evidence is not entirely consistent. The impact of CPAP for severe SA on very late recurrence post-CA of AF has not been elucidated. Methods This study employed a retrospective, single-center, observational design. Data were derived from SA screening tests routinely performed in patients scheduled for CA of AF in our facility. We defined severe SA as an apnea-hypopnea index (AHI)≥30 by a home sleep apnea test or polysomnography. After excluding patients already diagnosed with sleep apnea before CA, we enrolled 466 consecutive severe SA patients. We divided them into two groups according to whether they had more than 1-year usage of continuous positive airway pressure after CA (CPAP group) or not (non-CPAP group). CPAP usage was monitored through telemonitoring and regular follow-up visits at our outpatient clinic every three months. Very late AF recurrence was defined as AF recurrence more than 1-year after the index CA. Results The age was 65±10 years, 17.4% were females, and 60.3% had non-paroxysmal AF. The mean AHI was 38.0±15.2. The CPAP group included 33.7% (n=157) and non-CPAP group 66.3% (n=309). The AF recurrence rates within 1-year post-CA were similar between the two groups (CPAP group vs. non-CPAP group, 16.6% vs. 16.2%, log-rank p=0.91). However, the very late AF recurrence rate was lower in the CPAP group than non-CPAP group (CPAP group vs. non-CPAP group, 7.6% vs. 21.6%, log-rank p=0.0002). Conclusion Among the untreated severe sleep apnea patients at the time of the catheter ablation of AF, CPAP treatment during 1-year post-CA was associated with fewer AF recurrences beyond 1-year post-CA.KM curve according to CPAP group

Serum levels of neurotensin, pannexin-1, and sestrin-2 and the correlations with sleep quality or/and cognitive function in the patients with chronic insomnia disorder.

To examine serum concentrations of neurotensin, pannexin-1 and sestrin-2, and their correlations with subjective and objective sleep quality and cognitive function in the patients with chronic insomnia disorder (CID). Sixty-five CID patients were enrolled continuously and fifty-six good sleepers in the same period were served as healthy controls (HCs). Serum levels of neurotensin, pannexin-1 and sestrin-2 were measured by enzyme-linked immunosorbent assays. Sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI) and polysomnography, and mood was evaluated by 17-item Hamilton Depression Rating Scale. General cognitive function was assessed with the Chinese-Beijing Version of Montreal Cognitive Assessment and spatial memory was evaluated by Blue Velvet Arena Test (BVAT). Relative to the HCs, the CID sufferers had higher levels of neurotensin (t=5.210, p<0.001) and pannexin-1 (Z=-4.169, p<0.001), and lower level of sestrin-2 (Z=-2.438, p=0.015). In terms of objective sleep measures, pannexin-1 was positively associated with total sleep time (r=0.562, p=0.002) and sleep efficiency (r=0.588, p=0.001), and negatively with wake time after sleep onset (r=-0.590, p=0.001) and wake time (r=-0.590, p=0.001); sestrin-2 was positively associated with percentage of rapid eye movement sleep (r=0.442, p=0.016) and negatively with non-rapid eye movement sleep stage 2 in the percentage (r=-0.394, p=0.034). Adjusted for sex, age and HAMD, pannexin-1 was still associated with the above objective sleep measures, but sestrin-2 was only negatively with wake time (r=-0.446, p=0.022). However, these biomarkers showed no significant correlations with subjective sleep quality (PSQI score). Serum concentrations of neurotensin and pannexin-1 were positively associated with the mean erroneous distance in the BVAT. Adjusted for sex, age and depression, neurotensin was negatively associated with MoCA score (r=-0.257, p=0.044), pannexin-1 was positively associated with the mean erroneous distance in the BVAT (r=0.270, p=0.033). The CID patients had increased neurotensin and pannexin-1 and decreased sestrin-2 in the serum levels, indicating neuron dysfunction, which could be related to poor sleep quality and cognitive dysfunction measured objectively.

Jerks are Useful: Extracting pulse rate from wrist-placed accelerometry jerk during sleep in children.

Evaluate wrist-placed accelerometry predicted heartrate compared to electrocardiogram (ECG) heartrate in children during sleep. Children (n=82, 61% male, 43.9% Black) wore a wrist-placed Apple Watch Series 7 (AWS7) and ActiGraph GT9X during a polysomnogram. 3-Axis accelerometry data was extracted from AWS7 and the GT9X. Accelerometry heartrate estimates were derived from jerk (the rate of acceleration change), computed using the peak magnitude frequency in short time Fourier Transforms of Hilbert transformed jerk computed from acceleration magnitude. Heartrates from ECG traces were estimated from R-R intervals using R-pulse detection. Lin's Concordance Correlation Coefficient (CCC), mean absolute error (MAE) and mean absolute percent error (MAPE) assessed agreement with ECG estimated heartrate. Secondary analyses explored agreement by polysomnography sleep stage and a signal quality metric. The developed scripts are available on Github. For the GT9X, CCC was poor at -0.11 and MAE and MAPE were high at 16.8 (SD=14.2) beats/minute and 20.4% (SD=18.5%). For AWS7, CCC was moderate at 0.61 while MAE and MAPE were lower at 6.4 (SD=9.9) beats/minute and 7.3% (SD=10.3%). Accelerometry estimated heartrate for AWS7 was more closely related to ECG heartrate during N2, N3 and REM sleep than lights on, wake, and N1 and when signal quality was high. These patterns were not evident for the GT9X. Raw accelerometry data extracted from AWS7, but not the GT9X, can be used to estimate heartrate in children while they sleep. Future work is needed to explore the sources (i.e., hardware, software, etc.) of the GT9X's poor performance.

0916 Sleep Diagnosis, Polysomnography Findings, and CPAP Adherence in People Living with HIV and Controls

0916 Sleep Diagnosis, Polysomnography Findings, and CPAP Adherence in People Living with HIV and Controls