Journal of Clinical Sleep Medicine最新文献

Obstructive sleep apnea (OSA) is a prevalent respiratory sleep disorder that, when left undiagnosed or untreated, can lead to adverse outcomes. There continue to be gaps and variations in screening adults who are high risk for OSA in the primary care setting, leading to many adults in the United States going undiagnosed. As a part of the ongoing American Academy of Sleep Medicine quality measure maintenance initiative, the American Academy of Sleep Medicine Quality Measures Task Force reviewed the original screening for adult OSA by primary care physicians quality measure. The measure was updated to further address the adult populations who are at high risk for OSA to ensure that the measure is consistent with the most current medical literature, increasing the likelihood that patients at high risk for OSA are properly screened for the sleep disorder.

Citation: Lloyd RM, Crawford T, Donald R, et al. Quality measure for screening for adult obstructive sleep apnea by primary care providers: 2024 update after measure maintenance. J Clin Sleep Med. 2024;20(11):1819-1822.

Study objectives: Severe respiratory distress of neonates with Robin sequence is traditionally managed by surgery. Stanford orthodontic airway plate treatment (SOAP) is a nonsurgical option. The study aimed to determine whether SOAP can improve polysomnography parameters of neonates with Robin sequence.

Methods: Polysomnography of neonates with Robin sequence treated with SOAP at a single hospital were retrospectively analyzed. Patients without polysomnography at all 4 time points (pre, start of, mid, and posttreatment) were excluded. Data were analyzed using a linear mixed effects model.

Results: Sixteen patients were included. All patients had cleft palate. The median age (minimum, maximum) at the start of treatment was 1.1 months (0.3, 5.1) with the treatment duration of 4.5 months (3.5, 6.0). The mean obstructive apnea-hypopnea index (95% confidence interval) decreased from 39.3 events/h (32.9, 45.7) to 12.2 events/h (6.7, 17.7) (P < .001), obstructive apnea index decreased from 14.1 (11.2, 17.0) events/h to 1.0 (-1.5, 3.5) events/h (P < .001), and oxygen nadir increased from 79.9% (77.4, 82.5) to 88.2% (85.5, 90.8) (P < .001) between pre and start of treatment. Respiratory improvements were sustained during and after the treatment. All patients avoided mandibular distraction osteogenesis or tracheostomy following SOAP.

Conclusions: As being a rare diagnosis, the number of participants was, as expected, low. However, the current study shows that SOAP can improve polysomnography parameters, demonstrating its potential utility before surgical interventions for neonates with Robin sequence and cleft palate experiencing severe respiratory distress.

Citation: Choo H, Sidell DR, Kim J-W, Ahn H-W, Day HS, Sullivan SS. Nonsurgical improvement of severe upper airway obstruction in infants with Robin sequence and cleft palate using Stanford orthodontic airway plate treatment. J Clin Sleep Med. 2024;20(11):1807-1817.

Obstructive sleep apnea is a common chronic condition typically treated with positive airway pressure. However, many patients have difficulty with adherence to this therapy, and for some, implantation of a hypoglossal nerve stimulator has become an option. Although device implantation is generally well-tolerated, a minority of patients will experience serious adverse events. Here we report the unusual complication of the sensor lead migrating to the costophrenic angle and invading the pleural space. Nine months after original implantation, the sensor lead malfunctioned and was found to be displaced. Initial explantation and reimplantation of a new device resulted in the inability to find a portion of the lead. Reimaging showed the missing lead at the costophrenic angle, and the patient underwent thoracoscopic removal. He resumed therapy with the new device without difficulty. This case demonstrates the ability of the lead to migrate far from the implantation site, which has rarely been reported.

Citation: Rosen R, Padhya T, Daniel J, Sharma A. Video-assisted thoracoscopic surgery retrieval of a migrated unilateral hypoglossal nerve stimulator sensor lead. J Clin Sleep Med. 2024;20(11):1851-1855.

Study objectives: We investigated the therapeutic effects of exercise in patients with obstructive sleep apnea, aiming to identify the subgroups that benefit the most and determine the optimal exercise protocol.

Methods: Major databases were searched for randomized controlled trials involving patients with obstructive sleep apnea performing aerobic exercise and/or resistance training. The investigated outcomes included apnea-hypopnea index (AHI), Epworth Sleepiness Scale, body mass index, and peak oxygen consumption during exercise (VO₂peak). The pre- and postintervention unstandardized mean difference (USMD) of these parameters was compared between the exercise and control groups.

Results: Twelve studies involving 526 patients were included. Exercise training significantly reduced AHI (USMD = -7.08 events/h, 95% confidence interval: -9.98 to -4.17, P < .00001), Epworth Sleepiness Scale (USMD = -2.37, 95% confidence interval: -3.21 to -1.54, P < .00001), and body mass index (USMD = -0.72 kg/m², 95% confidence interval: -1.22 to -0.22, P = .005) and enhanced VO₂peak (USMD = 3.46 ml·kg^-1·min^-1, 95% confidence interval: 1.20 to 5.71, P = .003). Subgroup analyses revealed that in continuous positive airway pressure-adherent patients, exercise significantly improved VO₂peak but did not reduce AHI and Epworth Sleepiness Scale. A trend was observed that combining resistance training with aerobic exercise resulted in greater AHI reduction and VO₂peak enhancement. Notably, exercise improved AHI, Epworth Sleepiness Scale, body mass index, and VO₂peak regardless of the baseline AHI or body mass index.

Conclusions: Exercise, including resistance and aerobic training, should be part of treatment for patients with obstructive sleep apnea of all severities, regardless of obesity status, and even for those who are already under continuous positive airway pressure.

Citation: Lin C-F, Ho N-H, Hsu W-L, Lin C-H, Wang Y-H, Wang Y-P. Effects of aerobic exercise and resistance training on obstructive sleep apnea: a systematic review and meta-analysis. J Clin Sleep Med. 2024;20(11):1839-1849.

Study objective: We aimed to characterize clinical features, comorbidities and polysomnographic characteristics of a large cohort of patients with narcolepsy.

Methods: We undertook a retrospective chart and polysomnographic review of all patients with a diagnosis of narcolepsy type 1 (NT1) or narcolepsy type 2 (NT2) seen within the Lehigh Valley Health Network between 2000 and 2022.

Results: We found 304 cases with a diagnosis of narcolepsy (52 NT1, 252 NT2), based on International Classification of Sleep Disorders, third edition criteria. Compared to NT2, patients with NT1 had younger diagnosis age (24.5 versus 27.4 years, p=0.03), shorter diagnostic gap (3.0 versus 4.6 years, p=0.002), more frequent sleep paralysis (55.8% versus 19.4%, p<0.0001) and hypnagogic hallucinations (46.2% versus 25.4%, p=0.003), and higher Epworth Sleepiness Scale (ESS) scores (17.8 versus 16.7, p=0.02). The most common comorbid sleep disorders were breathing disorders (17.4%) and insomnia (15.5%). Migraine was the most common neurological disorder. Depression was more common in NT2 than NT1 [12 (23.1%) versus 94 (37.3%), p=0.05]. On the Multiple Sleep Latency Test, patients with NT1 had more sleep onset REM periods (SOREMPs) than patients with NT2 (≥3 SOREMPs in 59.2% versus 26.9%, p<0.0001). Only in NT2, hypnagogic hallucinations and higher ESS scores were associated with higher numbers of SOREMPs (p=0.0277 and p=0.0179 respectively).

Conclusion: This is one of the largest monocentric studies to date of patients with narcolepsy and confirms the frequent comorbidities of narcolepsy. Specific clinical characteristics and comorbidities may help differentiate NT1 from NT2.

Study objectives: Obstructive sleep apnea (OSA) is a prevalent condition effectively treated by continuous positive airway pressure (CPAP) therapy. CPAP adherence data, routinely gathered in clinical practice, include detailed information regarding both duration and timing of use. The purpose of the present study was to develop a systematic way to measure the diurnal pattern of CPAP adherence data and to see if distinct patterns exist in a clinical cohort.

Methods: Machine learning techniques were employed to analyze CPAP adherence data. A cohort of 200 unselected patients was assessed and a cluster analysis was subsequently performed. Application of this methodology to 17 patients with different visually noted patterns was carried out to further assess performance.

Results: Each 30-day period of CPAP use for each patient was characterized by four variables describing the time of day of initiation and discontinuation of CPAP use, as well as the consistency of use during those times. Further analysis identified six distinct clusters, reflecting different timing and adherence patterns. Specifically, clusters with relatively normal timing versus delayed timing were identified. Finally, application of this methodology showed generally good performance with limitations in the ability to characterize shift worker and non-24 rhythms.

Conclusions: This study demonstrates a methodology for analysis of diurnal patterns from CPAP adherence data. Furthermore, distinct timing and adherence patterns are demonstrated. The potential impact of these patterns on the beneficial effects of CPAP requires elucidation.

Study objectives: 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.

Methods: 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.

Results: 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.

Conclusions: 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.