Periodic Leg Movements Research Articles

Brain regions associated with periodic leg movements during sleep in restless legs syndrome

The neural substrates related to periodic leg movements during sleep (PLMS) remain uncertain, and the specific brain regions involved in PLMS have not been evaluated. We investigated the brain regions associated with PLMS and their severity using the electroencephalographic (EEG) source localization method. Polysomnographic data, including electromyographic, electrocardiographic, and 19-channel EEG signals, of 15 patients with restless legs syndrome were analyzed. We first identified the source locations of delta-band (2–4 Hz) spectral power prior to the onset of PLMS using a standardized low-resolution brain electromagnetic tomography method. Next, correlation analysis was conducted between current densities and PLMS index. Delta power initially and most prominently increased before leg movement (LM) onset in the PLMS series. Sources of delta power at −4~−3 seconds were located in the right pericentral, bilateral dorsolateral prefrontal, and cingulate regions. PLMS index was correlated with current densities at the right inferior parietal, temporoparietal junction, and middle frontal regions. In conclusion, our results suggest that the brain regions activated before periodic LM onset or associated with their severity are the large-scale motor network and provide insight into the cortical contribution of PLMS pathomechanism.

Design of a deep learning model for automatic scoring of periodic and non-periodic leg movements during sleep validated against multiple human experts

ObjectiveCurrently, manual scoring is the gold standard of leg movement scoring (LMs) and periodic LMs (PLMS) in overnight polysomnography (PSG) studies, which is subject to inter-scorer variability. The objective of this study is to design and validate an end-to-end deep learning system for the automatic scoring of LMs and PLMS in sleep. MethodsThe deep learning system was developed, validated and tested, with respect to manual annotations by expert technicians on 800 overnight PSGs using a leg electromyography channel. The study includes data from three cohorts, namely, the Wisconsin Sleep Cohort (WSC), Stanford Sleep Cohort (SSC) and MrOS Sleep Study. The performance of the system was further compared against individual expert technicians and existing PLM detectors. ResultsThe system achieved an F1 score of 0.83, 0.71, and 0.77 for the WSC, SSC, and an ancillary study (Osteoporotic Fractures in Men Study, MrOS) cohorts, respectively. In a total of 60 PSGs from the WSC and the SSC scored by nine expert technicians, the system performed better than two and comparable to seven of the individual scorers with respect to a majority-voting consensus of the remaining scorers. In 60 PSGs from the WSC scored accurately for PLMS, the system outperformed four previous PLM detectors, which were all evaluated on the same data, with an F1 score of 0.85. ConclusionsThe proposed system performs better or comparable to individual expert technicians while outperforming previous automatic detectors. Thereby, the study validates fully automatic methods for scoring LMs in sleep.

Asymmetry of Periodic Leg Movements in Sleep (PLMS) in Parkinson's Disease.

Periodic limb movements in sleep (PLMS) are repetitive movements usually of the legs strongly associated with Restless-legs syndrome (RLS), which appear more frequently in males, older age and other sleep disturbances, such as sleep-disordered breathing (SDB). Patients with Parkinson's disease (PD) suffer from various sleep disturbances including REM sleep behavior disorder, RLS and PLMS. Although a dopaminergic pathophysiology of PLMS is discussed, no systematic data on PLMS side-to-side distribution in PD and its correlation with asymmetry of motor symptoms are available. This study aimed at elucidating PLMS asymmetry in correlation to that of motor symptoms in PD compared to SDB and RLS. Cross-sectional, retrospective analysis of two polysomnography (PSG) recordings per patient scoring PLMS separately for both legs. Of 105 patients (44 PD, 44 age- and sex-matched SDB and 17 RLS patients) PLMS measures (number of PLM, PLM-Index, PLM-arousal index) showed significant side-to-side differences in all disease entities in both PSGs (P < 0.001; Wilcoxon rank test). PLM-Index asymmetry (PLM-I difference of >5/h between both sides) was observed less frequently in PD (34% of patients) compared to RLS (77% , P < 0.05) and SDB (59% , P < 0.05; χ2 test). In asymmetric PD patients, predominant side of PLMS was more stable than in SDB and RLS comparing the two PSGs, but we did not detect an agreement between PLMS predominant side with that of motor symptoms in PD patients. Only the minority of PD patients shows asymmetric PLMS distribution with relatively high night-to-night stability but no correlation with motor symptom asymmetry.

Sleep-related movement and behavioural disorders in adults

Sleep-related movement and behaviour disorders may have an impact on sleep quality and lead to daytime symptoms. These groups of conditions include diseases such as restless legs syndrome, periodic leg movements, and REM and NREM parasomnias. The knowledge of their clinical features and management is of utmost importance for the neurologist and sleep specialist. Frequently, these patients are referred to such specialists and it is relevant to know that certain sleep disorders may be associated with other neurological conditions.

Robust Repetitive Learning-Based Trajectory Tracking Control for a Leg Exoskeleton Driven by Hybrid Hydraulic System

For the purpose of reducing power consumption of a leg exoskeleton for augmenting human performance, a novel hybrid hydraulic system (HHS) which includes a unidirectional servo valve and a solenoid on-off valve is excogitated, and its energy saving control is studied in this paper. Inspired by the varieties of contact force between human leg and ground during walking, the unidirectional servo valve and the solenoid on-off valve are only activated in the stance phase and the swing phase, respectively. In the stance phase, a robust repetitive learning scheme is presented by using the backstepping technique for the unidirectional servo valve, aiming to track the periodic human leg movement, and in the swing phase, an on-off control is proposed for the solenoid valve to release the pressure in the hydraulic cylinder so that the exoskeleton leg is bent by the human leg passively. The proposed control strategy is implemented in an ARM-based embedded microprocessor and the control performance is verified via experiment on the developed exoskeleton robot. The experimental results show that the power consumption of the proposed system is almost 30% less than that of systems with bidirectional hydraulic system.

Why Are Women Prone to Restless Legs Syndrome?

Restless legs syndrome is a relatively common neurologic disorder considerably more prevalent in women than in men. It is characterized by an inactivity-induced, mostly nocturnal, uncomfortable sensation in the legs and an urge to move them to make the disagreeable sensation disappear. Some known genes contribute to this disorder and the same genes contribute to an overlapping condition—periodic leg movements that occur during sleep and result in insomnia. Dopamine and glutamate transmission in the central nervous system are involved in the pathophysiology, and an iron deficiency has been shown in region-specific areas of the brain. A review of the literature shows that pregnant women are at particular risk and that increased parity is a predisposing factor. Paradoxically, menopause increases the prevalence and severity of symptoms. This implies a complex role for reproductive hormones. It suggests that changes rather than absolute levels of estrogen may be responsible for the initiation of symptoms. Both iron (at relatively low levels in women) and estrogen (at relatively high oscillating levels in women) influence dopamine and glutamate transmission, which may help to explain women’s vulnerability to this condition. The syndrome is comorbid with several disorders (such as migraine, depression, and anxiety) to which women are particularly prone. This implies that the comorbid condition or its treatment, or both, contribute to the much higher prevalence in women than in men of restless legs syndrome.

Clinical characteristics of sleep disorders in patients with vestibular migraine.

To study and analyze the sleep quality and sleep structure of patients with vestibular migraine (VM). In this cross-sectional case-control study, the Pittsburgh Sleep Quality Index (PSQI) questionnaire and polysomnography (PSG) were used to compare the clinical characteristics of sleep disorders in 49 patients with VM, 52 patients with migraine, and 54 controls. The VM, migraine, and control groups did not significantly differ in terms of age or sex. Compared with the migraine and control groups, the VM group had a higher incidence of poor sleep quality (χ2 = 36.618, p < 0.01) and greater severity of poor sleep quality (p < 0.01). Furthermore, the VM group showed reduced sleep efficiency (p < 0.01) and reduced proportions of REM and slow wave (N3) sleep (p≤ 0.01). Conversely, sleep latency (p = 0.01) and REM latency (p= 0.04) were prolonged, and proportions of light sleep phases (N1, p< 0.05, and N2, p< 0.01) and the micro-arousal index (p = 0.03) were increased. The migraine group had significantly higher apnea hypopnea (AHI) and periodic leg movement (PLMI) indices than the VM group. We report an effect of VM on sleep structure and an association with migraine. Similar to migraine, VM affects the sleep regulation centers and causes structural sleep disorders.

Gender differences in clinical, laboratory, and polysomnographic features of restless legs syndrome

Restless legs syndrome is a common neurological disorder with a clear female predominance. This study aims to evaluate gender differences in clinical, laboratory and polysomnographic features in patients with restless legs syndrome. For this retrospective analysis, 42 women and 42 men from the Innsbruck RLS database matched by age and therapy were included. Demographic data as well as different severity scales (IRLS, RLS-6 and CGI) were evaluated. Laboratory parameters included several indicators of serum iron status. In all patients, polysomnography was performed according to the AASM guidelines, and periodic leg movements during sleep were scored according to the AASM criteria. IRLS, RLS-6 and CGI revealed more severe symptoms in women (IRLS median [range]: 17.5 [0-35] versus 13.5 [0-32], p = 0.028; RLS-6 median [range]: 18 [0-39] versus 12 [1-42], p = 0.014). Women had lower serum ferritin levels than men (median [range] in μg L-1 : 74 [9-346] versus 167 [15-389], p < 0.001). Twenty-two women and eight men (53.7% versus 22.2%, p = 0.003) had ferritin values below 75 μg L-1 . Periodic leg movements during sleep indices were significantly lower in women than in men (median [range] in number per hr: 11.4 [0-62.5] versus 40 [0-154], p = 0.004, and 12.6 [0-58.5] versus 40 [0.5-208], p = 0.002, for night I and night II, respectively). Restless legs syndrome severity as measured by validated scales was worse in women, while periodic leg movements during sleep indices were higher in men. These results suggest a possible gender difference in phenotypical presentation of restless legs syndrome, manifesting with predominantly sensory symptoms in women and predominantly motor symptoms in men.

Comorbidities in children with elevated periodic leg movement index

Comorbidities in children with elevated periodic leg movement index

Assessment of periodic leg movements during sleep using automatic 3d-video somnography in addition to standard polysomnography

Assessment of periodic leg movements during sleep using automatic 3d-video somnography in addition to standard polysomnography

Power-law scaling behavior of A-phase events during sleep: Normal and pathologic conditions

ObjectiveA-phases are short-time cortical events during sleep that repeatedly disrupt the basal fluctuations of electrical brain activity. They are the basic units of the cyclic alternating pattern (CAP), which is related to the instability and consolidation of the sleep process. The main purpose of this study is to evaluate the temporal occurrence of A-phases (TOAP) under normal and pathologic sleep conditions. MethodsTo derive a quantitative description of TOAP, we have applied detrended fluctuation analysis (DFA), to unveil scale-free behavior from non-stationary time series. Data from sleep recordings of 15 healthy subjects (H), 37 with nocturnal frontal lobe epilepsy (NFLE), 9 with periodic leg movement (PLM), and 22 with REM Sleep Behavior Disorder (RBD) from the Physionet database were used. TOAP was computed from binary time series constructed from A-phase annotations, where symbols 1 and −1, represent the presence or absence of an A-phase, respectively. These time series were analyzed through DFA and characterized by the scaling exponent. ResultsIn all cases, numerical results show evidence that a statistical fractal structure is embedded in TOAP, where persistent scaling behavior is observed with scaling exponent close to 1. ConclusionThe sleep process maintains a similar structure from the A-phase perspective despite of internal or external factors that could affect the sleep process, suggesting that sleep may be a resilient process. SignificanceThe scaling exponent of the A-phase occurrence provides new information about the sleep process that may have clinical relevance and complementary to standard clinical indices such as the CAP-rate.

Sleep and restless legs syndrome in female adolescents with idiopathic musculoskeletal pain

ObjectivesTo assess the presence of restless legs syndrome, periodic leg movement, and sleep disorders in female adolescents with idiopathic musculoskeletal pain through a sleep scale and polysomnography, and to compare these data in adolescents without pain history. MethodTwenty-six adolescents diagnosed with idiopathic musculoskeletal pain followed in a pain outpatient clinic and 25 healthy controls matched by age and education were recruited. The restless legs syndrome criteria were evaluated according to the International Restless Legs Syndrome Study Group, the Sleep Disturbance Scale for Children was completed, nocturnal polysomnography was performed, and anxiety symptoms were recorded. ResultsThe mean age of idiopathic musculoskeletal pain adolescents was 13.9±1.6 years; in controls, it was 14.4±1.4 years. One adolescent in the control group (4 %) and nine patients with idiopathic musculoskeletal pain (34.6 %) fulfilled the restless legs syndrome criteria (p=0.011). The authors did not observe significant differences in Sleep Disturbance Scale for Children scores between the groups in all components: disorders of initiating and maintaining sleep (p=0.290), sleep breathing disorders (p=0.576), disorders of arousal (p=0.162), sleep-wake transition disorders (p=0.258), disorder of excessive daytime somnolence (p=0.594), and sleep hyperhidrosis (p=0.797). The neurophysiological, respiratory, and periodic leg movement parameters were similar in both groups. Having anxiety was not associated with restless legs syndrome (p=0.11). Three patients with idiopathic musculoskeletal pain (11.5 %) presented restless legs syndrome and periodic leg movement simultaneously, which was absent in the control group. ConclusionFemale adolescents with idiopathic musculoskeletal pain present criteria for RLS more frequently than healthy adolescents. However, this study did not observe relevant changes in objective and subject sleep variables.

Robust, ECG-based detection of Sleep-disordered breathing in large population-based cohorts.

Up to 5% of adults in Western countries have undiagnosed sleep-disordered breathing (SDB). Studies have shown that electrocardiogram (ECG)-based algorithms can identify SDB and may provide alternative screening. Most studies, however, have limited generalizability as they have been conducted using the apnea-ECG database, a small sample database that lacks complex SDB cases. Here, we developed a fully automatic, data-driven algorithm that classifies apnea and hypopnea events based on the ECG using almost 10 000 polysomnographic sleep recordings from two large population-based samples, the Sleep Heart Health Study (SHHS) and the Multi-Ethnic Study of Atherosclerosis (MESA), which contain subjects with a broad range of sleep and cardiovascular diseases (CVDs) to ensure heterogeneity. Performances on average were sensitivity(Se)=68.7%, precision(Pr)=69.1%, score(F1)=66.6% per subject, and accuracy of correctly classifying apnea-hypopnea index (AHI) severity score was Acc=84.9%. Target AHI and predicted AHI were highly correlated (R2 = 0.828) across subjects, indicating validity in predicting SDB severity. Our algorithm proved to be statistically robust between databases, between different periodic leg movement index (PLMI) severity groups, and for subjects with previous CVD incidents. Further, our algorithm achieved the state-of-the-art performance of Se=87.8%, Sp=91.1%, Acc=89.9% using independent comparisons and Se=90.7%, Sp=95.7%, Acc=93.8% using a transfer learning comparison on the apnea-ECG database. Our robust and automatic algorithm constitutes a minimally intrusive and inexpensive screening system for the detection of SDB events using the ECG to alleviate the current problems and costs associated with diagnosing SDB cases and to provide a system capable of identifying undiagnosed SDB cases.

Contactless recording of sleep apnea and periodic leg movements by nocturnal 3-D-video and subsequent visual perceptive computing

Contactless measurements during the night by a 3-D-camera are less time-consuming in comparison to polysomnography because they do not require sophisticated wiring. However, it is not clear what might be the diagnostic benefit and accuracy of this technology. We investigated 59 persons simultaneously by polysomnography and 3-D-camera and visual perceptive computing (19 patients with restless legs syndrome (RLS), 21 patients with obstructive sleep apnea (OSA), and 19 healthy volunteers). There was a significant correlation between the apnea hypopnea index (AHI) measured by polysomnography and respiratory events measured with the 3-D-camera in OSA patients (r = 0.823; p < 0.001). The receiver operating characteristic curve yielded a sensitivity of 90% for OSA with a specificity of 71.4%. In RLS patients 72.8% of leg movements confirmed by polysomnography could be detected by 3-D-video and a significant moderate correlation was found between PLM measured by polysomnography and by the 3-D-camera (RLS: r = 0.654; p = 0.004). In total, 95.4% of the sleep epochs were correctly classified by the machine learning approach, but only 32.5% of awake epochs. Further studies should investigate, if this technique might be an alternative to home sleep testing in persons with an increased pre-test probability for OSA.

Rheumatological Diseases and Sleep: Somnological Aspects of Diagnostics and Therapy

70 % of patients suffering from rheumatological diseases report poor sleep quality, numerous awakenings at night and non-restorative sleep. More than 20 % of these patients are found to have primary sleep disorders such as obstructive sleep apnoea (OSA) and the restless legs syndrome (RLS). Primary and secondary sleep disorders may increase symptoms associated with rheumatological diseases, e. g. excessive daytime sleepiness, fatigue, depression, pain intensity, and disease activity. Vice versa, pain intensity and inflammatory markers worsen sleep quality. In patients with rheumatic diseases, obesity as well as disease-related skeletal characteristics may be predisposing factors for obstructive sleep apnoea. The restless legs syndrome, which frequently occurs in rheumatological diseases, lowers sleep quality due to a sensory stimulus and periodic leg movements causing sleep fragmentation. Somnological diagnostic investigation consists of sleep-related questionnaires and scales. Objective tests are used to measure reaction time and vigilance. Sleep-related breathing and movement disorders can be identified with screening devices and polygrafic monitoring. A final polysomnografic sleep study is necessary to make the diagnosis and to initiate a specific treatment and follow-up examinations. Sleep disorders associated with rheumatological diseases may be treated with behavioural and drug therapies. Drug therapy is commonly used in the management of insomnia and RLS. Most cases of OSAS can be treated with CPAP or UPS devices. Interdisciplinary cooperation in the fields of somnology and rheumatology may improve treatment in RA patients.

Striatal histamine mechanism in the pathogenesis of restless legs syndrome.

Study ObjectivesRestless legs syndrome (RLS) has been hypothesized to be generated by abnormal striatal dopamine transmission. Dopaminergic drugs are effective for the treatment of RLS. However, long-term use of dopaminergic drugs causes adverse effects. We used iron-deficient (ID) and iron-replacement (IR) rats to address the neuropathology of RLS and to determine if a histamine H3 receptor (H3R) antagonist might be a useful treatment. Histamine H3R antagonists have been shown to decrease motor activity.MethodsControl and ID rats were surgically implanted with electrodes for polysomnographic recording. After 3 days of baseline polysomnographic recordings, rats were systemically injected with the H3R agonist, α-methylhistamine, and antagonist, thioperamide. Recordings were continued after drug injection. Striatal H3R levels from control, ID, and IR rats were determined by western blots. Blood from control, ID, and IR rats was collected for the measurement of hematocrit levels.Resultsα-Methylhistamine and thioperamide increased and decreased motor activity, respectively, in control rats. In ID rats, α-methylhistamine had no effect on motor activity, whereas thioperamide decreased periodic leg movement (PLM) in sleep. Sleep–wake states were not significantly altered under any conditions. Striatal H3R levels were highest in ID rats, moderate to low in IR rats, and lowest in control rats. Striatal H3R levels were also found to positively and negatively correlate with PLM in sleep and hematocrit levels, respectively.ConclusionsA striatal histamine mechanism may be involved in ID anemia-induced RLS. Histamine H3R antagonists may be useful for the treatment of RLS.

Moderate to severe but not mild RLS is associated with greater sleep-related sympathetic autonomic activation than healthy adults without RLS

IntroductionRestless legs syndrome (RLS) patients have been found to have high rates of transitory increases in the activity of the sympathetic autonomic nervous system with increases in heart rate and blood pressure. These were identified by evaluating heart rate or blood pressure changes independent of any leg movement analyses. There has been an implicit assumption this high rate of sympathetic activations is abnormal, but there has been no direct comparison for similar measures with a healthy population free of RLS. Thus, it is not known if during sleep the rates of sympathetic nervous system activation are greater for RLS than for a healthy population. The objectives of this study were to determine if: (1) RLS patients compared to healthy controls have a greater frequency of sympathetic nervous system activation (significant heart rate increases) with a higher percentage of leg movements associated with these activations; (2) the sympathetic activation frequency and its relation to leg movements correlate significantly with RLS severity in RLS patients; and (3) there is some minimum threshold for RLS severity defining an RLS population where most (eg 85%) have abnormally high rates of sympathetic activation. MethodsSleep data on 32 RLS patients and 21 matched healthy controls were obtained from a prior study. All leg movements during sleep (LMS) and periodic leg movements in sleep (PLMS) were identified following the new WASM criteria; LMS that were not PLMS were considered isolated leg movements in sleep (ILMS). All episodes with significant heart rate increases were identified following procedures established by Cassel et al., (2016, see further on for citation) ie a slope of linear regression ≥2.5 beats per minute over five consecutive heartbeats. Severity of RLS was evaluated using the International Restless Legs Study Group Scale (IRLS). ResultsRLS patients had significantly more heart rate increases than controls (67.88/hr vs. 9.87/hr). RLS patients had a significantly greater percentage of both LMS and PLMS occurring with heart rate increases than controls (44% vs. 30%; 48% vs. 18%, respectively). These measures correlated significantly with IRLS and also PLMS/hr. 85% of the RLS patients with IRLS scores >22 or PLMS >50/hr had rates of sympathetic activation that were >90th percentile for the healthy controls. ConclusionThis is the first paper documenting that RLS patients showed clearly increased sympathetic activation when identified independent of PLMS. This, however, occurs for more severe RLS and not milder RLS. It has been proposed that the abnormally high rate of sympathetic activation for RLS patients relates to development of adverse cardiovascular health consequences observed in some studies. Thus, these data may provide a basic standard for possible use in epidemiological studies to identify the level of RLS severity more likely to have adverse health consequences (eg, cardiovascular disease). Since two-thirds of RLS patients have mild to even intermittent disease, including all RLS is likely to miss the potential health consequences of RLS.

A 57-Year-Old Woman With Progressive Left Hand Clumsiness and Falls.

A 57-year old woman presented with left hand pain, periodic leg movement during sleep, gradual onset of stiffness, clumsiness, and falls. Neurological examination showed: generalized rigidity and bradykinesia. There was left hand dystonic posturing and ideomotor apraxia, as well as mirror movements of upper limbs and stimulus-sensitive myoclonus. The patient had a high-pitched voice and hypophonia (Video S1). Experts discuss localization and the syndromic diagnosis and predict the underlying pathology. The pathological diagnosis is then provided and clinical learning points are considered.

Cardiovascular consequences of obstructive sleep apnea in women: a historical cohort study

Objective/BackgroundEvidence on sex differences in the association between obstructive sleep apnea (OSA) and cardiovascular outcomes is limited and controversial. We conducted a historical cohort study to investigate this relationship. Patients/methodsClinical data on adults who underwent sleep study at a large urban academic hospital (Toronto, Canada) between 1994 and 2010 were linked to provincial health administrative data from 1991 to 2015. We fit Cox regressions to investigate the association between OSA severity and a cardiovascular composite outcome (all-cause mortality or hospitalization due to myocardial infarction, stroke, heart failure or atrial fibrillation), controlling for risk factors and stratifying by sex. ResultsA total of 10,149 subjects were included: median age of 49 years, 38% women. Over a median of 9.3 years, 1782 (18%) participants developed an outcome. The association between percentage of sleep time spent with oxygen saturation <90% and outcome was stronger for women (HR for IQR, 3 vs 0% = 1.30, 1.19–1.42) than for men (HR for IQR = 1.13, 1.06–1.21) (p for interaction = 0.01) in the adjusted model. Stratifying by sex, oxygen desaturations and heart rate in sleep were significant predictors in both men and women, while presence of daytime sleepiness, sleep efficiency and periodic leg movements in sleep were predictive in women but not in men. ConclusionsIn a large clinical cohort with suspected OSA, the impact of OSA as measured by the degree of nocturnal oxygen desaturation on the composite outcome was found to be greater in women than in men. We also found a different predictive ability of OSA-related factors by sex.

Sleep manifestations, sleep architecture in children with Eosinophilic esophagitis presenting to a sleep clinic

Study objectivesTo describe sleep manifestations, polysomnographic (PSG) findings, and specific sleep disorders in children with Eosinophilic Esophagitis (EoE). MethodsThis retrospective study included children with EoE who were referred to sleep clinics. Clinical manifestations, PSG variables, and diagnosis of sleep disorders were analyzed. Sleep architecture of patients with EoE was compared to control subjects. ResultsIn sum, 81 children with EoE met the criteria for entry into the analysis with a mean age of 10.1 ± 4.4 years. Of those, 46 children (57%) presented in the sleep clinic with active EoE symptoms, while 35 (43%) children did not have active EoE symptoms at presentation. Several sleep complaints were common in children with EoE, including snoring (62, 76.5%), restless sleep (54, 66.6%), legs jerking or leg discomfort (35, 43.2%) and daytime sleepiness (47, 58.0%). Comparing sleep architecture with controls, children with EoE had significantly higher NREM2 (P= < 0.001), lower NREM3 (P= < 0.001), lower rapid eye movement (REM) (P = 0.017), increased periodic leg movements (PLM) index (P= < 0.001) and increased arousal index (P = 0.007). There were no significant differences in the sleep efficiency between the EoE and control subjects. Common sleep diagnoses included obstructive sleep apnea (OSA, 30, 37.0%) and periodic limb movements disorder (PLMD, 20, 24.6%). Of note, we found a much higher percentage of PLMD in active EoE compared to inactive EoE (P = 0.004). ConclusionsChildren with EoE have frequent sleep complaints and several sleep disorders identified from the sleep study, including sleep-disordered breathing and PLMD. Analysis of sleep architecture demonstrates significant sleep fragmentation as evidenced by decreased slow-wave sleep and REM sleep and increased arousal index.