The latest medical research on Sleep Apnoea

The research magnet gathers the latest research from around the web, based on your specialty area. Below you will find a sample of some of the most recent articles from reputable medical journals about sleep apnoea gathered by our medical AI research bot.

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Naps and cardiovascular disease risk in different age and sex groups: evidence from a large community cohort.

J Clin Sleep

This study examined the relationship between naps and cardiovascular disease (CVD) events or death in different age and sex groups.

A total of 3069 participants stratified by age (<65, 65-74, and ≥75 years old) and sex, underwent Cox regression analysis to assess nap's impact on CVD risk. Restricted cubic spline plots (RCS) were used for dose-response relationships.

Significant age-stratified interactions were found when exploring the associations between nap frequency or duration and CVD events (P interaction = 0.001, 0.036 respectively). Individuals younger than 65 years with higher nap frequency or longer nap duration had a significantly increased risk of CVD events (P < 0.001, P = 0.001 respectively). The age group of 65-74 years showed significant associations between CVD events and nap frequency or nap duration (P = 0.017, 0.016 respectively), together with nap duration and CVD deaths (P = 0.008). In the subgroup of females aged 65-74, significant associations were found between nap frequency or duration and CVD events (P = 0.006, 0.002 respectively). Nap frequency or duration was also significantly associated with CVD deaths (P =0.005, 0.010 respectively).

This study underscores a noteworthy correlation between a higher frequency or longer duration of daytime nap and an increased susceptibility to CVD among individuals aged 65-74 years, particularly in females. However, further research is needed to better understand the underlying mechanisms.

Prevalence and risk factors of sleep bruxism in adults with primary snoring: a large-scale polysomnographic study.

J Clin Sleep

To determine the prevalence and risk factors of sleep bruxism (SB) in adults with primary snoring (PS).

This study included 292 adults with PS (140 males, 152 females; mean age ± SD = 42.8 ±12.2 years; mean BMI ± SD = 26.7 ± 4.7 kg/m2) without previous treatment for snoring. SB was diagnosed based on the frequency of the biomarker of SB: rhythmic masticatory muscle activity (RMMA; SB when RMMA ≥ 2 episodes/hour). Logistic regression was performed, with SB as the dependent variable and with age, sex, BMI, and sleep- and respiratory-related polysomnographic parameters as the independent variables to identify the risk factors for SB.

The prevalence of SB was 44.6% in adults with PS. Younger age (OR = 0.965 [0.944, 0.987]) and shorter total sleep time (OR = 0.760 [0.609, 0.948]) significantly increased the risk of SB (P < 0.05).

SB is highly prevalent in adults with PS. Younger age and shorter sleep time are significant risk factors for SB in adults with PS.

Registry: Netherlands Trial Register; Name: A Large Sample Polysomnographic Study on Sleep Bruxism; Identifier: NL8516.

Do weighted blankets improve sleep among children with a history of maltreatment? A randomized controlled crossover trial.

J Clin Sleep

Sleep disruption is prevalent and persistent among children who experience maltreatment/interpersonal trauma. Weighted blankets have gained popularity in recent years as a potential non-pharmacological intervention for improving sleep in various populations, but their efficacy has not been examined among maltreated children. The current study used a randomized, within-subjects, crossover design to examine whether the use of a weighted blanket improves objective and/or subjective indices of sleep among 30 children, ages 6 to 15 years (M = 9.7, SD = 2.9) adopted from foster care.

Participants used a weighted blanket for two weeks and their usual blanket for two weeks in a counterbalanced order. Sleep outcomes were measured using actigraphy and subjective sleep diaries.

No differences in actigraphy-based or subjective estimates of total sleep time, sleep onset latency, wake after sleep onset, or sleep quality ratings were found based on blanket type. Child age, biological sex, timing of participation (school year versus summer months), and maltreatment/trauma history did not impact outcomes.

Although we did not find evidence that weighted blankets improve sleep among children with a history of maltreatment/interpersonal trauma, additional well-controlled studies using larger samples of children are needed.

Sleep medicine in the Kyrgyz Republic: past, present and future.

J Clin Sleep

As in many other low and middle income countries (LMICs) around the world, sleep disorders in the Kyrgyz Republic remain mostly undiagnosed and unt...

Long-term effect of growth hormone on sleep-disordered breathing in Malaysian children with Prader-Willi syndrome: a retrospective study.

J Clin Sleep

The effect of recombinant human growth hormone (rhGH) on sleep-disordered breathing (SDB) in Malaysian children with Prader-Willi syndrome (PWS) is under-investigated. We determined (a) the short- and long-term effects of rhGH and (b) factors associated with worsening SDB, in children with PWS on rhGH.

This retrospective study included children with PWS (with and without rhGH) who had at least one polysomnography (PSG). Outcomes measured were the presence of SDB: before and after starting rhGH and the progress of SDB with and without rhGH. Serial insulin-like growth factor-1 (IGF-1) measurements were recorded.

One-hundred and thirteen PSGs were analyzed. The majority (92.3%) of initial PSGs had SDB with AHI median (IQR) 5.0 (2.6,16.3) events/h. The age for receiving rhGH was median (IQR) 1.9 (0.7, 3.4) years old. A third (36.8%) had worsening SDB after initiating rhGH, which was associated with higher IGF-1 levels post-rhGH (p=0.007). After a median of 5 years of rhGH, 73.6% maintained or reduced their positive airway pressure (PAP) settings. Without rhGH, 80% had increased their PAP settings. Worsening SDB while on rhGH was associated with higher BMI, lower rhGH dose, higher IGF-1 levels and non-15q deletion.

Majority of Malaysian children with PWS had SDB. At initiation rhGH, one-third of patients had worsening SDB, associated with increased IGF-1 levels. Stabilization of SDB was more frequently seen in those on long-term rhGH. Worsening SDB while on rhGH was associated with a higher BMI, on a lower dose of rhGH, higher IGF-1 levels and non-15q deletion.

Relationship between OSA pathophysiological phenotypes and treatment response to mandibular advancement devices: a pilot study.

J Clin Sleep

To assess whether critical pathophysiological phenotypes predict treatment response in patients with obstructive sleep apnea (OSA) using a mandibular advancement device (MAD).

Thirty-one OSA patients were treated with a MAD. Individuals were categorized and graded into four pathophysiological phenotypes based on polysomnographic features (anatomical, ventilatory control, arousal threshold and muscle responsiveness). Morphoanthropometric data were additionally assessed. Patients were classified as responders or nonresponders. Associations between polysomnographic phenotypes and treatment response were documented, as was morphoanthropometric data and their impact on therapeutic success.

There was a male predominance (64.5%), with a median age of 49 years (25p:40; 75p:55), BMI=27.4 kg/m2 (26; 28.8) and apnea-hypopnea index (AHI) of 18.2 (25p:11.7; 75p: 27.6). The majority of patients treated with a MAD (58%) were good responders (68.0% mild and moderate versus 16.7% severe). Treatment response was associated with shorter intermolar and interpremolar distances in the lower arch (p = 0.0092 and 0.0129). Rapid eye movement sleep AHI (REMAHI) and MAD-related treatment response were inversely correlated (p = 0.0013). Favorable anatomical (p = 0.0339) and low muscle response (p = 0.0447) phenotypes were correlated with outcomes.

According to our results, a favorable response occurred in a better 'anatomical phenotype' and in the worse 'muscular responsiveness phenotype' according to polysomnographic data. Furthermore, other favorable predictors, such as a REMAHI <16 and a smaller distance between lower molars and premolars, were found. These findings indicate that clinical and polysomnographic aspects can discriminate phenotypes that may guide decisions on MAD treatment for OSA.

The effect of Le Fort III procedure in the treatment of obstructive sleep apnea in children with syndromic craniosynostosis.

J Clin Sleep

Obstructive sleep apnea (OSA) is common in children with Syndromic Craniosynostosis (SC). The efficacy of Fort III procedure in managing OSA in children with SC remains a subject of ongoing debate. This study aimed to explore the efficacy of Le Fort III procedure in the management of OSA in children with SC.

A retrospective study was performed in children with SC and OSA diagnosed by polysomnography (PSG), which was defined as an apnea and hypopnea index (AHI) ≥ 1. Patients meeting the inclusion criteria were those who underwent Le Fort III surgery and had both baseline PSG and follow-up sleep studies. Relevant clinical and demographic data were collected from all subjects who participated in the study.

Overall, forty-five OSA children with SC were identified, with a mean age of 6.8 ± 4.7 years. Twenty-five received the Le Fort III procedure and follow-up sleep studies. The Le Fort III procedure resulted in a significant reduction in AHI (6.0 [2.6, 10.1] versus 37.6 [20.9, 48.0] events/h; P < 0.001). However, normalization of OSA was only achieved in one patient (4%).

The Le Fort III procedure is efficacious in the treatment of OSA in children with SC. However, despite the observed improvement, residual OSA following treatment remains common.

Early recognition and treatment of OSA in hospitalized patients and its impact on health care utilization in rural population: a real-world study.

J Clin Sleep

Obstructive sleep apnea (OSA) is a highly prevalent, yet under-diagnosed condition. Due to its adverse impact on risk for cardiopulmonary disorders, there is interest in pro-active screening of OSA in hospitalized patients. We studied the long-term outcome of such screened patients who were initiated on positive airway pressure (PAP) therapy.

Hospitalized patients who screened positive for OSA and were confirmed with post-discharge polysomnography (PSG) were dichotomized by PAP adherence and followed for a period of 12 months to evaluate for the composite endpoint of hospital readmissions and emergency room (ED) visits for cardiopulmonary reasons. Cost analysis between the two groups was also conducted.

2042 hospitalized patients were assessed for OSA as part of a hospital sleep medicine program from August 2019 to June 2023. Of these, 293 patients were diagnosed with OSA and prescribed PAP therapy. Of these 293 patients, 108 were adherent to therapy and 185 were non-adherent. The overall characteristics of the groups included a mean (SD) age: 58 years (12.82), mean BMI (kg/m2): 39.72 (10.71), male sex: 57%, and apnea-hypopnea index (AHI): 25.49 (26). 78%, 41% and 43% had hypertension, congestive heart failure, and diabetes mellitus, respectively.

The composite endpoint of hospital readmissions and ED visits for cardiovascular and pulmonary reasons was significantly higher in the non-adherent group as compared to the adherent group (HR: 1.24, 95% CI: 1-1.54) (p=0.03). The cost of care for both hospital billing (HB) as well as professional billing(PB) was higher for the non-adherent group ($1455.6 vs $1723.5, p = 0.004) in HB cost and $130.9 vs $144.7, p<0.001) in PB. Length of stay was higher for non-adherent patients (2.7 ± 5.1 days vs. 2.3 ± 5.9 days).

Hospitalized patients diagnosed with OSA and adherent to therapy have reduced readmissions and ED visits for cardiopulmonary reasons 12 months after discharge. Adherent patients have reduced cost of health care and length of stay during hospitalizations.

Association of sleep timing with all-cause and cardiovascular mortality: the Sleep Heart Health Study and the Osteoporotic Fractures in Men Study.

J Clin Sleep

Previous studies have highlighted the importance of sleep patterns for human health. This study aimed to investigate the association of sleep timing with all-cause and cardiovascular disease mortality.

Participants were screened from two cohort studies: the Sleep Heart Health Study (SHHS; n = 4,824) and the Osteoporotic Fractures in Men Study (n = 2,658). Sleep timing, including bedtime and wake-up time, was obtained from sleep habit questionnaires at baseline. The sleep midpoint was defined as the halfway point between the bedtime and wake-up time. Restricted cubic splines and Cox proportional hazards regression analyses were used to examine the association between sleep timing and mortality.

We observed a U-shaped association between bedtime and all-cause mortality in both the SHHS and Osteoporotic Fractures in Men Study groups. Specifically, bedtime at 11:00 pm and waking up at 7:00 am was the nadir for all-cause and cardiovascular disease mortality risks. Individuals with late bedtime (> 12:00 am) had an increased risk of all-cause mortality in SHHS (hazard ratio 1.53, 95% confidence interval 1.28-1.84) and Osteoporotic Fractures in Men Study (hazard ratio 1.27, 95% confidence interval 1.01-1.58). In the SHHS, late wake-up time (> 8:00 am) was associated with increased all-cause mortality (hazard ratio 1.39, 95% confidence interval 1.13-1.72). No significant association was found between wake-up time and cardiovascular disease mortality. Delaying sleep midpoint (> 4:00 am) was also significantly associated with all-cause mortality in the SHHS and Osteoporotic Fractures in Men Study.

Sleep timing is associated with all-cause and cardiovascular disease mortality. Our findings highlight the importance of appropriate sleep timing in reducing mortality risk.

Ma M, Fan Y, Peng Y, et al. Association of sleep timing with all-cause and cardiovascular mortality: the Sleep Heart Health Study and the Osteoporotic Fractures in Men Study. J Clin Sleep Med. 2024;20(4):545-553.

Exploring sleep duration and clinical reasoning process in resident physicians: a thematic analysis.

J Clin Sleep

Connecting resident physician work hours and sleep deprivation to adverse outcomes has been difficult. Our study explores clinical reasoning rather than outcomes. Diagnostic errors are a leading cause of medical error and may result from deficits in clinical reasoning. We used simulated cases to explore relationships between sleep duration and diagnostic reasoning.

Residents were recruited for a 2-month study (inpatient/outpatient). Each participant's sleep was tracked (sleep diary/actigraphy). At the end of each month, residents watched two brief simulated clinical encounters and performed "think alouds" of their clinical reasoning. In each session, one video was straightforward, and the other video contained distracting contextual factors. Sessions were recorded, transcribed, and interpreted. We conducted a thematic analysis using a constant comparative approach. Themes were compared based on sleep duration and contextual factors.

Residents (n=17) slept more during outpatient compared to inpatient months (450.5±7.13 v 425.6±10.78, p=0.02). We found the following diagnostic reasoning themes: uncertainty, disorganized knowledge, error, semantic incompetence, emotional content, and organized knowledge. Themes reflecting suboptimal clinical reasoning (disorganized knowledge, error, semantic incompetence, uncertainty) were observed more in cases with contextual factors (distractors). "Think alouds" from cases with contextual factors following sleep restriction had a greater number of themes concerning for problematic diagnostic reasoning.

Residents obtained significantly more sleep during outpatient compared to inpatient months. Several negative clinical reasoning themes emerged with less sleep combined with cases containing contextual distractors. Our findings reinforce the importance of adequate sleep and supervision in house officers, particularly in cases with distracting elements.

Combining wireless radar sleep monitoring device with deep machine learning techniques to assess obstructive sleep apnea severity.

J Clin Sleep

The gold standard for diagnosing obstructive sleep apnea (OSA) is polysomnography (PSG). However, PSG is a time-consuming method with clinical limitations. This study aimed to create a wireless radar framework to screen the likelihood of two levels of OSA severity (i.e., moderate-to-severe and severe OSA) in accordance with clinical practice standards.

We conducted a prospective, simultaneous study using the wireless radar system and PSG in a Northern Taiwan sleep center, involving 196 patients. The wireless radar sleep monitor, incorporating hybrid models such as deep neural decision trees, estimated the respiratory disturbance index relative to the total sleep time established by PSG (RDIPSG_TST), by analyzing continuous-wave signals indicative of breathing patterns. Analyses were performed to examine the correlation and agreement between the RDIPSG_TST and apnea-hypopnea index (AHI), results obtained through PSG. Cut-off thresholds for RDIPSG_TST were determined using Youden's index, and multiclass classification was performed, after which the results were compared.

A strong correlation (ρ = 0.91) and agreement (average difference of 0.59 events/h) between AHI and RDIPSG_TST were identified. In terms of the agreement between the two devices, the average difference between PSG-based AHI and radar-based RDIPSG_TST was 0.59 events/h, while 187 out of 196 cases (95.41%) fell within the 95% confidence interval of differences. A moderate-to-severe OSA model achieved an accuracy of 90.3% (cut-off threshold for RDIPSG_TST: 19.2 events/h). A severe OSA model achieved an accuracy of 92.4% (cut-off threshold for RDIPSG_TST: 28.86 events/h). The mean accuracy of multiclass classification performance using these cut-off thresholds was 83.7%.

The wireless-radar-based sleep monitoring device, with cut-off thresholds, can provide rapid OSA screening with acceptable accuracy, and also alleviate the burden on PSG capacity. However, to independently apply this framework, the function of determining the radar-based total sleep time requires further optimizations and verification in future work.

Strengths, weaknesses, opportunities and threats of using AI-enabled technology in sleep medicine: a commentary.

J Clin Sleep

Over the past few years, artificial intelligence (AI) has emerged as a powerful tool used to efficiently automate several tasks across multiple dom...