Sleep medicine最新文献

Angelman Syndrome (AS) is a neurodevelopmental disorder with severe symptoms and associated comorbidities. It is caused by the inactivity or lack of the UBE3a gene. Symptoms of the syndrome include intellectual disability and developmental delay.

The current study investigated sleep disturbances (SD) in children and adolescents with AS, associations between SD and possible predictors of SD. Variables examined included age, gender, newborn and infancy history, challenging behavior, type of therapy received, genetic type of AS, and seizures. The sample included data from 109 participants with a mean age of 8.21, accessed via the Global Angelman Syndrome Registry. Chi-square tests were carried out to assess the associations between the variables and a logistical regression was carried out to assess the possible predictors of SD. Associations were found between SD and certain repetitive behaviors: slapping walls, focal hand movements, and agitation at new situations. From these associations, a regression formed a predictive model for sleep disturbances. The findings of this research demonstrated the importance of investigating the relationship between sleep disturbances and challenging behavior in children and adolescents with AS and the need for further research in this area.

Background

Restless legs syndrome (RLS) and periodic leg movements during sleep (PLMS) are prevalent sleep disorders with significant implications for health and well-being. While previous research has highlighted sex-related disparities in RLS and PLMS prevalence, comprehensive understanding of these differences across the lifespan remains limited. This study aims to explore sex differences in RLS and PLMS across diverse age groups, spanning ages 2 to over 80 years, and to investigate the underlying mechanisms influenced by sex hormones.

Methods

A retrospective analysis was conducted on drug-free patients diagnosed with RLS, including 95 females (age range: 2–83.2 years) and 89 males (age range: 2–79.5 years). Polysomnographic recordings were analyzed to assess leg movement activity, including PLMS index and Periodicity index.

Results

A more rapid increase in PLMS index was observed in women starting before age 10, plateauing lower than men until around age 55. An increase in women occurred after 55, lasting over a decade, while in men, PLMS index continued to rise after 75. Conversely, Periodicity index displayed a simpler pattern, increasing progressively from prepuberty to around 35 in males and 45–50 in females. Females maintained a slightly higher Periodicity index than males for over a decade after this age.

Conclusion

These findings underscore the complex interplay between sex hormones, age, and sleep disorders, highlighting the need for tailored approaches to diagnosis and management across diverse demographic cohorts. Further research is warranted to elucidate the underlying mechanisms and develop targeted interventions to optimize sleep health outcomes.

Introduction

Despite disease modifying treatments (DMT), assisted ventilation is commonly required in children with Spinal Muscular Atrophy (SMA). Guidelines suggest screening with oximetry and transcutaneous carbon dioxide (TcCO₂) for sleep disordered breathing (SDB).

Aim

To determine the utility of pulse oximetry and TcCO₂ as a screen for SDB and the need for Non-Invasive Ventilation (NIV) in children with SMA type 1–3.

Methods

A prospective cohort study was conducted in Queensland, Australia. Full diagnostic PSG was completed in DMT naïve children with SMA. Pulse oximetry and TcCO₂ were extracted from PSG. Apnoea-hypopnoea indices (AHI) criteria were applied to PSG results to define the need for NIV. Abnormal was defined as: ≤3 months of age [mo] AHI≥10 events/hour; >3mo AHI ≥5 events/hour. Receiver operating characteristic curves were calculated for abnormal PSG and pulse oximetry/TcCO₂ variables, and diagnostic statistics were calculated.

Results

Forty-seven untreated children with SMA were recruited (type 1 n = 13; 2 n = 21; 3 n = 13) ranging from 0.2 to 18.8 years old (median 4.9 years). Oxygen desaturation index ≥4 % (ODI4) ≥20events/hour had sensitivity 82.6 % (95 % CI 61.2–95.0) and specificity of 58.3 % (95 % CI 36.6–77.9). TcCO₂ alone and combinations of oximetry/TcCO₂ had low diagnostic ability. The same methodology was applied to 36 children who were treated (type 1 n = 7; type 2 n = 17; type n = 12) and oximetry±TcCO2 had low diagnostic ability.

Conclusion

ODI4 ≥20events/hour can predict the need for NIV in untreated children with SMA. TcCO2 monitoring does not improve the PPV. If normal however, children may still require a diagnostic PSG. Neither oximetry nor TcCO₂ monitoring were useful screening tests in the children treated with DMT.

Objectives

Prolonged sitting is associated with an increased risk of musculoskeletal pain, especially in nightshift workers. However, research investigating effects of breaking up sitting on musculoskeletal pain during nightshifts is lacking. This study evaluated effects of prolonged sitting or breaking up sitting with short bouts of light-intensity physical activity on pain in healthy adults during simulated nightshifts.

Methods

An in-laboratory randomised controlled trial was undertaken with 52 healthy adults completing five simulated nightshifts. Participants were randomised to prolonged sitting (Sit9; n = 26) or breaking up prolonged sitting (Break9; n = 26). Break9 group completed 3-min walking every 30 min during nightshifts, while Sit9 group remained seated. Musculoskeletal pain intensity and sensory/affective pain experiences were assessed. Linear mixed models examined pain within nights (pre-to post-shift) and across nights (pre-shift-night-1 to pre-shift-night-5).

Results

Musculoskeletal pain intensity increased within nights for both Sit9 (mean change [95%CI] points: 0.14 [0.05, 0.24]) and Break9 (0.09 [0.001, 0.19], but not across nights (Sit9: −0.13 [-0.33, 0.08]; Break9: 0.07 [-0.14, 0.29]). Sensory-pain experience improved across nights for Sit9 (−3.08 [-4.72, −1.45]), but not within nights (0.77 [-0.004, 1.55]). There was no change in affective-pain experience in either group. Between-group difference was observed favouring Sit9 for improving sensory-pain across nights (β: 3.71 [1.42, 5.99]). No other between-group difference was observed.

Conclusion

Both prolonged sitting and breaking up sitting were associated with a within-night increase in musculoskeletal pain intensity. Compared to prolonged sitting, breaking up sitting did not induce benefits on pain in healthy adults working simulated nightshifts.

Trial registration

ACTRN12619001516178.

Objective

Continuous positive airway pressure (CPAP) is the standard treatment for obstructive sleep apnea (OSA). Unsatisfactory adherence to CPAP is an important clinical issue to resolve. Cluster analysis is a powerful tool to distinguish subgroups in a multidimensional fashion. This study aimed to investigate the use of cluster analysis for predicting CPAP adherence using clinical polysomnographic (PSG) parameters and patient characteristics.

Patients/methods

Participants of this multicenter observational study were 1133 patients with OSA who were newly diagnosed and implemented CPAP. Ward's method of cluster analysis was applied to in-laboratory diagnostic PSG parameters and patient characteristics. CPAP adherence was assessed during 90- and 365-day periods after CPAP initiation in each cluster. We adopted the Centers for Medicare and Medicaid Services criterion for CPAP adherence, i.e., CPAP use ≥4 h per night for 70 % or more of the observation period. Logistic regression analysis was performed to stratify clusters according to CPAP adherence.

Results

Five clusters were identified through cluster analysis. Clustering was significantly associated with CPAP adherence at 90- and 365-day periods after CPAP initiation. Logistic regression revealed that the cluster with features including apnea predominant sleep-disordered breathing, high apnea-hypopnea index, and relatively older age demonstrated the highest CPAP adherence.

Conclusion

Cluster analysis revealed hidden connections using patient characteristics and PSG parameters to successfully identify patients more likely to adhere to CPAP for 90 days and up to 365 days. When prescribing CPAP, it is possible to identify patients with OSA who are more likely to be non-adherent.

Objective/background

There is a significant unmet need for safe and effective nonpharmacological therapies for restless legs syndrome (RLS). The objective was to evaluate the efficacy and safety of tonic motor activation (TOMAC) in patients with RLS.

Patients/methods

A multicenter, randomized, participant-blinded, sham-controlled trial enrolled 45 adults with primary moderate-to-severe RLS who were either medication-naïve (n = 20) or medication-refractory (n = 25). Participants were 1:1 randomized to TOMAC (n = 22) or sham (n = 23) for two weeks and instructed to self-administer 30-min TOMAC sessions when they experienced RLS symptoms. The primary outcome was mean change in International RLS Study Group Rating Scale (IRLS) total score. A subsequent meta-analysis included the present trial and a previous randomized clinical trial that enrolled medication-naïve RLS patients.

Results

IRLS reduction was significantly greater for TOMAC than sham (TOMAC -6.59 vs. sham −2.17; mean difference (MD) = −4.42; 95 % confidence interval [CI] −1.57 to −7.26; p = 0.0040). Subgroup analysis showed similar IRLS mean difference for medication-refractory (MD = −4.50; p = 0.02) and medication-naïve (MD = −4.40; p = 0.08) cohorts, which was significantly different from sham only for the medication-refractory cohort. Meta-analysis of combined data from 33 medication-naïve RLS patients showed a significant reduction in mean IRLS score after two weeks for TOMAC compared to sham (MD = −4.30; 95 % CI -1.36 to −7.24; p = 0.004).

Conclusions

The present trial confirmed previous reports documenting efficacy and safety of TOMAC in refractory RLS and indicated similar effect sizes in refractory versus naïve subgroups. The meta-analysis demonstrated that TOMAC significantly improves RLS symptoms in naïve participants.

Study objectives

Advanced signal processing of photoplethysmographic data enables novel analyses which may improve the understanding of the pathogenesis of dysglycemia associated with sleep disorders. We aimed to identify sleep-related pulse wave characteristics in diabetic patients compared to normoglycemic individuals, independent of cardiovascular-related comorbidities.

Methods

This cross-sectional evaluation of the population-based Swedish CArdioPulmonary bioImage Study (SCAPIS) included overnight oximetry-derived pulse wave data from 3997 subjects (45 % males, age 50–64 years). Metabolic status was classified as normoglycemic (n = 3220), pre-diabetic (n = 544), or diabetic (n = 233). Nine validated pulse wave features proposed to influence cardiovascular risk were derived and compared between metabolic status groups. Logistic prediction models and genetic matching were applied to capture diabetes-related pulse wave characteristics during sleep. The model was controlled for anthropometrics, lifestyle, sleep apnea, and in the final adjustment even for cardiometabolic factors like dyslipidaemia, hypertension, and coronary artery calcification.

Results

Pulse wave-derived parameters differed between normoglycemic and diabetic individuals in eight dimensions in unadjusted as well as in the partially adjusted model (anthropometric factors and sleep apnea, p ≤ 0.001). All covariates confirmed significant differences between normoglycemic and diabetic subjects (all p ≤ 0.001). Reduced cardio-respiratory coupling (respiratory-related pulse oscillations) (β = −0.010, p = 0.012), as well as increased vascular stiffness (shortened pulse propagation time (β = −0.015, p = 0.001), were independently associated with diabetes even when controlled for cardiometabolic factors. These results were confirmed through a matched cohort comparative analysis.

Conclusions

Photoplethysmographic pulse wave analysis during sleep can be utilized to capture multiple features of modified autonomic regulation and cardiovascular consequences in diabetic subjects. Dampened heart rate variability and increased vascular stiffness during sleep showed the strongest associations with diabetes.

Study objectives

This study aimed to investigate the relationship between sleep-aiding music and sleep-related attentional bias based on electroencephalography (EEG) functional connectivity (FC) in patients with insomnia disorder (ID), to evaluate the effectiveness of music in aiding sleep.

Method

This study included 30 participants, comprising 15 patients with ID and 15 healthy controls (HCs). Six types of music were selected for sleep aid, and a dot-probe task based on sleep-related attentional bias was utilized to collect behavioral and EEG data. Vigilance bias and disengagement bias were measured using reaction time and EEG FC. Differences in sleep-related attentional bias before and after the intervention of music were explored to evaluate the sleep-aiding effects and identify EEG biomarkers.

Results

Compared with HCs, patients with ID showed decreased sleep-related attentional bias of EEG FC between occipital-central and temporal-frontal lobes. Among the six types of music, International Standard Sleep Aid and Lullaby had a greater impact on decreasing vigilance bias in the ID group. Additionally, the International Standard Sleep Aid and Nature Sound were more effective in decreasing disengagement bias in the ID group. This study also examined the resting-state EEG FC of patients with ID before and after the intervention of music. The results showed that the FC in the temporal, frontal, and occipital lobes significantly differed before and after the intervention of music, especially with the use of International Standard Sleep Aid, Lullaby, and Alpha Sound Wave. However, it is worth noting that these three types of music showed no similarities in EEG FC, in contrast to the result of sleep-related attentional bias of EEG FC.

Conclusion

This study found that the sleep-related attentional bias of EEG FC has more distinct characteristics when compared to resting-state EEG FC. The results suggest that the sleep-related attentional bias of EEG FC could be a potential biomarker for assessing the sleep-aiding effect of music interventions. International Standard Sleep Aid was the most effective for patients with ID among six types of sleep-aiding music. These findings could facilitate the development of personalized therapies for patients with ID.

Clinical trials registration

Chinese Clinical Trial Register, http://www.chictr.org.cn, ID: ChiCTR2400081608.

Background

Sleep is a fundamental and complex physiological process whose duration decreases and characteristics change with age. Around 50 % of children will experience sleep disturbances at some point in their early life. Sleep disturbances can result in a number of deleterious consequences, including alterations in the levels of cellular senescence (CS) markers. CS is a complex process essential for homeostasis characterized by the irreversible loss of cell proliferation capacity; however, the accumulation of senescent cells can lead to age-related diseases.

Objective

In this review, our objective was to gather information about the relationship between sleep duration, sleep-disordered breathing (SDB) and cellular senescence markers, namely: oxidative stress, inflammation, insulin-like growth factor 1 (IGF-1), and growth hormone (GH) in newborns, children, and teenagers.

Methods

To achieve this, we searched six databases: MEDLINE, Scopus, LILACS, Web of Science, Embase, and SciELO, and identified 20 articles that met our inclusion criteria.

Results

Our results show that better sleep quality and duration and, both the surgical and non-surgical treatment of sleep disorders are associated with a reduction in oxidative stress, inflammation, and telomeric attrition levels. Furthermore, our results also show that surgical treatment for SDB significantly reduced the levels of cellular senescence markers. Further studies need to be conducted in this area, particularly longitudinal studies, for a greater understanding of the mechanisms involved in the relationship between sleep and senescence.

Conclusion

Better sleep quality and duration were associated with less oxidative stress, inflammation, and telomeric attrition and a higher level of IGF-1 in children and teenagers.

Background

The beneficial effects of physical activity on sleep quality in older adults are well-established. However, determining the optimal dose of physical activity remains unclear. This study aimed to investigate the dose-response relationship between physical activity and sleep quality in older adults.

Methods

A comprehensive search was conducted across six electronic databases from inception to May 2024. Included were randomized controlled trials assessing the impact of physical activity on sleep quality in older adults. Changes in sleep quality scores were analyzed using a normal-likelihood model with an identity link function.

Results

Fifty-one studies involving 5890 participants met the inclusion criteria. The dose-response relationship was best described by a “J" shaped curve. The minimum significant dose was 195 metabolic equivalents of tasks (METs)-min/week (Hedges'g = −0.39, SE: 0.27, 95%CrI: −0.82 to 0), with the optimum dose identified as 440 METs-min/week (Hedges'g = −0.85, SE: 0.26, 95%CrI: −1.24 to −0.37). The tolerated dose was also 820 METs-min/week (Hedges'g = −0.85, SE: 0.26, 95%CrI: −1.24 to −0.37). The optimal dose of 440 METs/min/week consistently improved sleep quality across various physical activities. Additionally, participant characteristics such as age, sex, and exercise intensity may moderate the effects of different physical activities.

Conclusion

This study identified the optimal weekly dose of physical activity to enhance sleep quality in older adults, highlighting the effectiveness of various physical activities. It also explored moderating factors affecting intervention outcomes. These findings provide valuable insights for tailoring personalized physical activity programs in clinical settings.