Elevated periodic limb movement index is associated with hypoxemia in children with early onset scoliosis.

PURPOSE: Patients with early onset scoliosis are at high risk of sleep disordered breathing, sleep disruption, and adverse consequences of poor sleep. In this study, we aim to assess the prevalence of periodic limb movements of sleep in a cohort of children with early onset scoliosis and identify factors that correlate with the presence of periodic limb movements. METHODS: This is a retrospective chart review of 40 patients with EOS (ages 1-17 years) who underwent a PSG from 2003 through 2019. Data collected included age, sex, and polysomnography parameters. Descriptive statistics were used: independent T test and Pearson correlation. RESULTS: The average age was 9.6 years (SD 5.2); 22 were female. Eleven patients (27.5%) had elevated periodic limb movement index (PLMI) (≥ 5). Those with PLMI ≥ 5 had arousal index of 15.4 (SD 7.2) and those with normal PLMI having an arousal index of 9.4 (SD 4.9); this reached statistical significance (p < 0.05). Those with elevated PLMI spent 4.9 (SD 8.3) minutes with saturations below 88%, while those with normal PLMI spent 1.0 (SD 1.8); this was statistically significant. There was a moderate positive correlation between arousal index, hypoxemia, and PLMI. CONCLUSION: The study suggests that children with early onset scoliosis have higher frequency of periodic limb movements during sleep, and these may be correlated with increased arousal and with hypoxemia.

Effects of new PLM scoring rules on PLM rate in relation to sleep and resting wake for RLS and healthy controls.

PURPOSE: This study evaluates the differences in periodic leg movement (PLM) rates for Restless Legs Syndrome (RLS) and healthy controls when using the updated PLM scoring criteria developed by IRLSSG in 2016 versus the prior PLM scoring criteria developed by IRLSSG in 2006. Four major problems with the prior standards had been objectively identified, i.e. minimum inter-movement interval should be 10 not 5 s, non-PLM leg movements should end any preceding PLM sequence, a leg movement (LM) can be any length > 0.5 s, and a PLM should be a persisting movement not a couple or a series of closely spaced, very brief events. Each of these led to including, erroneously, various random leg movements as PLM. Correcting these problems was expected to increase specificity, reducing the number of PLM detected, particularly in situations producing relatively more random leg movements, e.g. wake vs. sleep and controls without PLMD vs. RLS patients. METHODS: This study evaluated the putative benefits of the updated, 2016-scoring criteria. The LMs from 42 RLS patients and 30 age- and gender-matched controls were scored for PLMS and PLMW from standard all-night PSG recordings using both 2006 and 2016 WASM criteria. RESULTS/CONCLUSION: The results confirmed that that the 2016 compared to the 2006 criteria generally decreased the PLM rates with particularly large decreases for the conditions with more random non-PLM events, e.g. wake times and normal healthy controls. This supported the view that the new criteria succeeded in increasing the specificity of PLM detection. Moreover, the changes in PLM rates were generally small for the conditions with relatively few random LM, e.g. RLS and sleep. Thus the bulk of existing PLMS research does not require reconsideration of results, with possible exception of special situations with relatively more random leg movements than periodic leg movements, e.g. wake, healthy normals and children.

Sleep spindles, K-complexes, limb movements and sleep stage proportions may be biomarkers for amnestic mild cognitive impairment and Alzheimer's disease.

PURPOSE: Sleep disturbances are common in Alzheimer's disease (AD) and mild cognitive impairment (MCI) patients. Non-rapid eye movement stage 3 (N3), rapid eye movement stage (REM), spindle density, and K-complex (KC) density are decreased in MCI and AD patients. Periodic limb movements in sleep (PLMS) are increased in other neurodegenerative diseases. We aimed to distinguish amnestic mild cognitive impairment (aMCI) patients from the overall population of MCI patients by comparing the N3 and REM proportions, the morphological characteristics of spindles and KCs and the periodic limb movement index (PLMI) among control, aMCI and AD subjects. METHODS: In 92 subjects (30 controls, 32 aMCI and 30 AD), sleep stages, spindles, KCs and PLMS were recorded during the second of two nights of polysomnography (PSG). We compared the above parameters among the three groups. RESULTS: AD and aMCI subjects had lower proportions of N3 and REM, poorer spindle and KC activities and more frequent PLMS than controls. These alterations were associated with decreased Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores. We determined cut-off values for distinguishing aMCI and AD using logistic regression and receiver operating characteristic (ROC) analyses. CONCLUSIONS: AD and aMCI patients have abnormal sleep stage proportions, spindles, KCs and PLMS. The combination of the above alterations may distinguish aMCI and AD patients from controls with high specificity and sensitivity.

Lack of Association between Periodic Limb Movements during Sleep and Neuroimaging Signatures of Cerebral Small Vessel Disease in Stroke-Free Community-Dwelling Older Adults. The Atahualpa Project.

BACKGROUND: Evidence of the relationship between periodic limb movements during sleep (PLMS) and cerebral small vessel disease (cSVD) is limited and inconsistent. Here, we aimed to assess the independent association between PLMS and the different neuroimaging signatures of cSVD. METHODS: Atahualpa residents aged more than or equal to 60 years enrolled in the Atahualpa Project undergoing polysomnography and MRI with time intervals less than or equal to 6 months were included. MRI readings focused on white matter hyperintensities (WMH) of presumed vascular origin, deep cerebral microbleeds (CMB), silent lacunar infarcts (LI), and more than 10 enlarged basal ganglia-perivascular spaces (BG-PVS). Data from single-night polysomnograms were interpreted according to recommendations of the American Academy of Sleep Medicine. Associations between the PLMS index and neuroimaging signatures of cSVD (as dependent variables) were assessed by means of logistic regression models, adjusted for relevant confounders. RESULTS: A total of 146 individuals (mean age: 71.4 ± 7.5 years; 64% women) were included. A PLMS index more than or equal to 15 per hour were noted in 48 (33%) participants. Moderate-to-severe WMH were present in 33 individuals (23%), deep CMB in 9 (6%), silent LI in 16 (11%), and more than 10 BG-PVS in 44 (30%). In univariate analyses, silent LI (P = .035) and the presence of more than 10 enlarged BG-PVS (P = .034) were significantly higher among participants with a PLMS index more than or equal to 15 per hour. However, fully-adjusted multivariate models showed no significant association between PLMS index more than or equal to 15 per hour and any of the neuroimaging signatures of cSVD. CONCLUSIONS: This study shows no independent association between the PLMS index and neuroimaging signatures of cSVD in stroke-free community-dwelling older adults.

Cerebrovascular Accident Risk in a Population with Periodic Limb Movements of Sleep: A Preliminary Meta-Analysis.

BACKGROUND AND PURPOSE: Periodic limb movements of sleep (PLMS) are usually comorbid with hypertension, tachycardia, and coronary arterial diseases, which are also risk factors for cerebrovascular accidents (CVA). However, evidence about the relationship between CVA and PLMS is still weak. The aim of this study was to investigate (1) the prevalence of CVA in patients with PLMS, and (2) the severity of PLMS in patients with or without CVA through a meta-analysis. METHODS: The electronic databases of PubMed, Embase, ScienceDirect, ClinicalKey, Cochrane Library, ProQuest, Web of Science, and ClinicalTrials.gov were searched. The inclusion criteria were (1) articles investigating comorbidity between PLMS and CVA, and (2) clinical trials in humans. RESULTS: This meta-analysis included (1) 9,823 patients with PLMS and 9,416 controls from 5 studies to analyze the prevalence of CVA in PLMS, and (2) 158 patients with PLMS with CVA and 88 PLMS controls without CVA from 3 studies to analyze the severity of PLMS with and without CVA. The results showed (1) significantly higher comorbidity rates of CVA in the patients with PLMS than in the controls without PLMS (OR 1.267, p = 0.019), and (2) higher PLM index in the patients with CVA than in the controls (Hedges' g = 0.860, p = 0.001; means difference: 4.435, p = 0.016). CONCLUSIONS: The results revealed (1) a worse severity of PLMS in the patients with CVA, and (2) increased prevalence of CVA in the patients with PLMS. Based on our results, the patients had a higher prevalence of CVA within 8 years of a diagnosis of PLMS compared to those without PLMS by about 1.3-fold. Whether (1) patients with PLMS receiving treatment have a similar incidence of stroke to those without PLMS, and (2) secondary stroke prevention can lower the severity of PLMS or whether those with severe PLMS have a higher risk of stroke is still inconclusive. Future studies investigating the prevalence of CVA in patients with PLMS should use a follow-up period of over 8 years.

Validation of a non-contact screening device for the combination of sleep-disordered breathing and periodic limb movements in sleep.

PURPOSE: Recent studies found that the non-contact screening device SleepMinder (ResMed Sensor Technologies, Dublin, Ireland) detects sleep-disordered breathing (SDB) with high diagnostic accuracy in cohorts suspected of this disorder. However, it was reported that in patients with periodic limb movement in sleep (PLMS), this non-contact device overestimates the apnea-hypopnea index (AHI). We aimed to overcome this limitation by introducing the novel sleep disorder index (SDI) which is sum of the AHI and the period limb movement index (PLMI). METHODS: Between January 2011 and December 2013, we studied a mixed cohort of 57 patients (31 OSA, 19 PLMS). The easy-to-use non-contact device emits a very weak electromagnetic radiation and detects body movement by measuring the Doppler effect. We interpreted the device-generated movement index as the SDI and validated the diagnostic accuracy against simultaneous application of the gold-standard polysomnography (PSG). RESULTS: We found that the SDI of the non-contact device correlated well with the sum of AHI and PLMI derived from PSG (r = 0.79, p = 0.01). For PSG-derived SDI cutoff ≥ 15/h, we obtained a sensitivity of 92.2% and a specificity of 95.8%. Positive likelihood ratio was 23.3 and negative likelihood ratio 0.03. CONCLUSIONS: The studied non-contact screening device detects accurately the combination of the sleep disorders SDB and/or PLM. However, further testing is required in order to specify the nature of the underlying sleep disorder. At the current stage of algorithm development, the clinical strength is that the studied non-contact device can be used as a rule-out screening device for SDB and PLM.

Basal sympathetic predominance in periodic limb movements in sleep after continuous positive airway pressure.

PURPOSE: This study investigated the basal autonomic regulation in patients with obstructive sleep apnea (OSA) showing periodic limb movements in sleep (PLMS) emerging after therapy with continuous positive airway pressure (CPAP). METHODS: Data of patients with OSA undergoing a first polysomnography for diagnosis and a second polysomnography for therapy with CPAP were reviewed. Patients with OSA showing PLMS on the first polysomnography were excluded. By using heart rate variability analysis, epochs without any sleep events and continuous effects from the second polysomnography were retrospectively analyzed. RESULTS: Of 125 eligible patients, 30 with PLMS after therapy with CPAP (PLMS group) and 30 not showing PLMS on both polysomnography (non-PLMS group) were randomly selected for the analysis. No significant differences in the demographic characteristics and variables of polysomnographies were identified between the groups. Although one trend of low root mean square of successive differences (RMSSD) between intervals of adjacent normal heart beats (NN intervals) in the PLMS group was observed, patients in the PLMS group had significantly low normalized high-frequency (n-HF) and high-frequency (HF) values, but high normalized low frequency (n-LF) and high ratio of LF to HF (LF/HF ratio). After adjustment for confounding variables, PLMS on the second polysomnography was significantly associated with RMSSD (ß = - 6.7587, p = 0.0338), n-LF (ß = 0.0907, p = 0.0148), n-HF (ß = - 0.0895, p = 0.0163), log LF/HF ratio (ß = 0.4923, p = 0.0090), and log HF (ß = - 0.6134, p = 0.0199). CONCLUSIONS: Patients with OSA showing PLMS emerging after therapy with CPAP may have a basal sympathetic predominance with potential negative cardiovascular effects.

Prevalence and determinants of periodic limb movements in the general population.

OBJECTIVE: Periodic limb movements during sleep (PLMS) are sleep phenomena characterized by periodic episodes of repetitive stereotyped limb movements. The aim of this study was to describe the prevalence and determinants of PLMS in a middle to older aged general population. METHODS: Data from 2,162 subjects (51.2% women, mean age = 58.4 ± 11.1 years) participating in a population-based study (HypnoLaus, Lausanne, Switzerland) were collected. Assessments included laboratory tests, sociodemographic data, personal and treatment history, and full polysomnography at home. PLMS index (PLMSI) was determined, and PLMSI > 15/h was considered as significant. RESULTS: Prevalence of PLMSI > 15/h was 28.6% (31.3% in men, 26% in women). Compared to subjects with PLMSI ≤ 15/h, subjects with PLMSI > 15/h were older (p < 0.001), were predominantly males (p = 0.007), had a higher proportion of restless legs syndrome (RLS; p < 0.001), had a higher body mass index (p = 0.001), and had a lower mean glomerular filtration rate (p < 0.001). Subjects with PLMSI > 15/h also had a higher prevalence of diabetes, hypertension, and beta-blocker or hypnotic treatments. The prevalence of antidepressant use was higher, but not statistically significant (p = 0.07). Single nucleotide polymorphisms (SNPs) within BTBD9 (rs3923809), TOX3 (rs3104788), and MEIS1 (rs2300478) genes were significantly associated with PLSMI > 15/h. Conversely, mean hemoglobin and ferritin levels were similar in both groups. In the multivariate analysis, age, male gender, antidepressant intake, RLS, and rs3923809, rs3104788, and rs2300478 SNPs were independently associated with PLMSI > 15/h. INTERPRETATION: PLMS are highly prevalent in our middle-aged European population. Age, male gender, RLS, antidepressant treatment, and specific BTBD9, TOX3, and MEIS1 SNP distribution are independent predictors of PLMSI > 15/h.

Restless legs syndrome and periodic leg movements in patients with movement disorders: Specific considerations.

Restless legs syndrome is a frequent neurological disorder with potentially serious and highly distressing treatment complications. The role and potential implications of periodic leg movements during sleep range from being a genetic risk marker for restless legs syndrome to being a cardiovascular risk factor. The diagnosis of restless legs syndrome in patients with daytime movement disorders is challenging and restless legs syndrome needs to be differentiated from other sleep-related movement disorders. This article provides an update on the diagnosis of restless legs syndrome as an independent disorder and the role of periodic leg movements and reviews the association of restless legs syndrome with Parkinson's disease and other movement disorders. © 2017 International Parkinson and Movement Disorder Society.

Advanced signal analysis for the detection of periodic limb movements from bilateral ankle actigraphy.

Actigraphy can assist in the detection of periodic limb movements in sleep. Although several actigraphs have been previously reported to accurately detect periodic limb movements, many are no longer available; of the existing actigraphs, most sample too infrequently to accurately detect periodic limb movements. The purpose of this study was to use advanced signal analysis to validate a readily available actigraph that has the capability of sampling at relatively high frequencies. We simultaneously recorded polysomnography and bilateral ankle actigraphy in 96 consecutive patients presenting to our sleep laboratory. After pre-processing and conditioning, the bilateral ankle actigraphy signals were then analysed for 14 simple time, frequency and morphology-based features. These features reduced the signal dimensionality and aided in better representation of the periodic limb movement activity in the actigraph signals. These features were then processed by a Naïve-Bayes binary classifier for distinguishing between normal and abnormal periodic limb movement indices. We trained the Naïve-Bayes classifier using a training set, and subsequently tested its classification accuracy using a testing set. From our experiments, using a periodic limb movement index cut-off of 5, we found that the Naïve-Bayes classifier had a correct classification rate of 78.9%, with a sensitivity of 80.3% and a specificity of 73.7%. The algorithm developed in this study has the potential of facilitating identification of periodic limb movements across a wide spectrum of patient populations via the use of bilateral ankle actigraphy.

REM sleep behavior disorder and periodic leg movements during sleep in ALS.

OBJECTIVE: To assess sleep characteristics and the occurrence of abnormal muscle activity during sleep, such as REM sleep without atonia (RSWA), REM sleep behavior disorder (RBD), and periodic leg movements during sleep (PLMS), in patients with amyotrophic lateral sclerosis (ALS). METHODS: A total of 41 patients with ALS and 26 healthy subjects were submitted to clinical interview and overnight video-polysomnography. RESULTS: A total of 22 patients with ALS (53.6%) reported poor sleep quality. Polysomnographic studies showed that patients with ALS had reduced total sleep time, increased wakefulness after sleep onset, shortened REM and slow-wave sleep, and decreased sleep efficiency, compared to controls. Polysomnographic abnormalities were not different in patients reporting good or poor sleep and were not correlated to clinical and demographic variables. The PLMS index was significantly higher in patients with ALS than in healthy subjects, and 22 patients (53.6%) showed a PLMS index > 15/h, vs 4 (15.4%) controls (P < 0.001). Finally, two patients with ALS (4.9%) had RBD, and two more patients presented RSWA (4.9%), whereas no controls showed abnormalities of REM sleep. CONCLUSION: Patients with ALS frequently present abnormalities of sleep that can be documented both at the clinical interview and at the polysomnographic evaluation, including insomnia, fragmented sleep, and increased PLMS. Moreover, abnormalities of REM sleep can be found in some of these patients.

Plasma apelin level in patients with restless legs syndrome and its association with periodic leg movements.

OBJECTIVES: Apelin is an antioxidant and anti-inflammatory molecule secreted by adipose tissue and has a protective effect on cardiac and neuronal tissue. Recent studies have reported that the risk of vascular disease is increased in restless legs syndrome (RLS). We aimed to measure plasma levels of apelin in patients with RLS. Additionally, we wanted to determine if there is any relationship between apelin levels and RLS disease severity and the periodic leg movement index (PLMI). METHOD: A total of 14 RLS patients with moderate-to-severe symptoms and 14 age- and body mass index (BMI)-matched healthy controls participated in the study. All participants had no concomitant medical disorder nor took medications. The international RLS rating scale (IRLSS) was used to determine disease severity. Polysomnography (PSG) served to exclude other sleep disorders such as sleep-related breathing disorders and to measure sleep parameters. RESULTS: The mean plasma apelin level was significantly lower in the patient group compared to the control group independent of IRLSS score and PSG findings (p = 0.004). After comparison between the RLS patient group and control group, the patient group was divided into two subgroups based on a PLMI above or below 15 events per hour. A reduced mean apelin level was observed in the patient group having a PLMI above 15 compared to the patient group with PLMI below 15 and the control group (p = 0.003). There was no correlation between plasma apelin levels and disease severity and PLMI in the two patient subgroups. CONCLUSIONS: RLS patients especially those with a PLMI above 15 have low plasma apelin levels independent of disease severity and sleep parameters such as sleep duration and quality. Decreased apelin levels may explain the increased risk for vascular diseases in those patients.

Periodic limb movements in sleep are followed by increases in EEG activity, blood pressure, and heart rate during sleep.

PURPOSE: Periodic limb movements in sleep (PLMS) are related to arousal, sympathetic activation, and increases in blood pressure (BP), but whether they are part of the arousal process or causative of it is unclear. Our objective was to assess the temporal distribution of arousal-related measures around PLMS. METHODS: Polysomnographic recordings of six patients with restless legs syndrome were analyzed. We analyzed 15 PLMS, plus three 5-s epochs before and after each movement, for every patient. Mean values per epoch of blood pressure (BP), heart rate (HR), and electroencephalographic (EEG) power were calculated. For each patient, six 5-s epochs of undisturbed sleep were analyzed as controls. RESULTS: Alpha + beta EEG power, systolic BP, and HR were significantly increased following PLMS. The EEG power and HR increases were noticed in the first epoch after PLMS, whereas that of systolic BP was observed in the second and third epochs following a PLMS. No significant changes occurred in the epochs of undisturbed sleep. CONCLUSIONS: The results suggest that PLMS are followed by arousal-related nervous system events. Given the high frequency of PLMS throughout the night, they could be a potential risk factor for nocturnal arrhythmias and hypertension, in addition to causing sleep deprivation.

The Clinical Usefulness of Sleep Studies in Children.

Sleep disordered breathing is common in children and has the potential to have a significant impact on cognition, activity and social interaction. The overnight in-laboratory polysomnography (PSG) continues to be the gold standard instrument for the investigation of sleep-disordered breathing in children. It has the ability to rule in or rule out the need for intervention for common conditions such as obstructive sleep apnoea, assess the role of sleep quality in children and adolescents with hypersomnolence, provide physiologic data in children with hypoventilation as may be seen in neuromuscular disease and assist in the assessment of children with structural airway and lung abnormalities. Polysomnography is valuable and the only reliable method to differentiate habitual snoring from many levels of sleep apnoea syndrome [1]. The American Academy of Paediatrics recommends that, in order to diagnose and manage OSA syndrome, all children should be screened for snoring and complex cases should be referred to a specialist. PSG is the diagnostic gold standard and adenotonsillectomy is the first line of treatment [2]. There is no evidence to support nap studies or ambulatory sleep studies in children [3]. With adequate staffing, expertise, and a child and family-friendly environment, children of any age can undergo a sleep study.

Defining morphology of periodic leg movements in sleep: an evidence-based definition of a minimum window of sustained activity.

OBJECTIVE: Current standard guidelines for scoring periodic leg movements (PLM) define the start and end of a movement but fail to explicitly specify the movement morphology necessary to classify an EMG event as a PLM, rather than some other muscle event. This is currently left to the expert visual scorer to determine. This study aimed to define this morphology to provide a consistent standard for visual scoring and to improve automatic periodic leg movements in sleep scoring. METHODS: A review of expert PLM scoring produced a hypothesized morphology criterion: a window of high EMG activity within the movement lasting at least 0.5 s. Two diverse expert visual scorers were independently presented with images of EMG tracings from candidate leg movements (CLM) that either passed or failed this requirement (aka "full" or "empty" movements, respectively), and indicated whether each should be scored as CLM. The 0.5-s window was compared with alternatives of 0.25 and 0.75 windows. RESULTS: Expert scorers on average identified 94 % of "full" movements as CLM in contrast to only 8.5 % of "empty" movements. The proposed minimum window of 0.5 s also resulted in the highest agreement between visual scorers and between scorers and an automatic program. CONCLUSION: An added criterion requiring 0.5 s of high EMG activity within a valid CLM improves the accuracy of automatic scoring algorithms in relation to the gold standard of expert visual scorers. Our results suggest that this rule is an accurate representation of the morphology feature used by experts. This new rule has the potential to improve consistency and accuracy of visual and automatic scoring of PLM.

Age and severity matched comparison of gender differences in the prevalence of periodic limb movements during sleep in patients with obstructive sleep apnea.

PURPOSE: The aim of this study was to investigate gender differences of periodic limb movements during sleep (PLMS) in patients with obstructive sleep apnea (OSA). METHODS: This was a case-control study recruiting 364 patients with OSA (182 men, 182 women) matched for age and apnea-hypopnea index (AHI). All participants underwent overnight polysomnography (PSG), followed by the multiple sleep latency test (MSLT) and the Epworth Sleepiness Scale (ESS). RESULTS: Women with OSA had a significantly higher prevalence of PLMS than men (24.2 vs. 15.9 %, p < 0.05). Women with OSA showed an increased prevalence of PLMS compared to men in the younger group aged ≤55 years (23.0 vs. 10.6 %, p < 0.05), but not in the older groups >55 years (25.3 vs. 21.6 %, p > 0.05). Binary linear regression analysis in OSA patients confirmed that women were more likely to have PLMS than men (OR 1.71, 95 % CI 1.00-2.92), particularly in patients with age ≤55 years old (OR 2.48, 95 % CI 1.06-5.79), after adjusting for age, BMI, AHI, and habits of smoking and drinking. CONCLUSIONS: The results demonstrate that, for patients with OSA, young women had significantly increased prevalence of PLMS compared to young men, but there was no difference in prevalence of PLMS between the men and women in the older age group.

Basal sympathetic predominance in periodic limb movements in sleep with obstructive sleep apnea.

Because the impact of periodic limb movements in sleep (PLMS) is controversial, no consensus has been reached on the therapeutic strategy for PLMS in obstructive sleep apnea (OSA). To verify the hypothesis that PLMS is related to a negative impact on the cardiovascular system in OSA patients, this study investigated the basal autonomic regulation by heart rate variability (HRV) analysis. Sixty patients with mild-to-moderate OSA who underwent polysomnography (PSG) and completed sleep questionnaires were analysed retrospectively and divided into the PLMS group (n = 30) and the non-PLMS group (n = 30). Epochs without any sleep events or continuous effects were evaluated using HRV analysis. No significant difference was observed in the demographic data, PSG parameters or sleep questionnaires between the PLMS and non-PLMS groups, except for age. Patients in the PLMS group had significantly lower normalized high frequency (n-HF), high frequency (HF), square root of the mean of the sum of the squares of difference between adjacent NN intervals (RMSSD) and standard deviation of all normal to normal intervals index (SDNN-I), but had a higher normalized low frequency (n-LF) and LF/HF ratio. There was no significant difference in the Epworth Sleepiness Scale, the Pittsburgh Sleep Quality Index, the Short-Form 36 and the Hospital Anxiety and Depression Scale between the two groups. After adjustment for confounding variables, PLMS remained an independent predictor of n-LF (ß = 0.0901, P = 0.0081), LF/HF ratio (ß = 0.5351, P = 0.0361), RMSSD (ß = -20.1620, P = 0.0455) and n-HF (ß = -0.0886, P = 0.0134). In conclusion, PLMS is related independently to basal sympathetic predominance and has a potentially negative impact on the cardiovascular system of OSA patients.

Excessive fragmentary myoclonus in patients with Parkinson's disease: prevalence and clinico-polysomnographic profile.

OBJECTIVE AND BACKGROUND: Excessive fragmentary myoclonus (EFM) is characterized by subtle arrhythmic and excessive jerks that are usually asymmetric and asynchronous. EFM occurs in different areas of the body, mainly the face and distal parts of the arms and legs, and is detected by surface electromyography during sleep. The present study aimed to determine the prevalence of EFM in Parkinson's disease (PD) patients at a tertiary level outpatient clinic as well as to describe the clinical and polysomnographic profiles of these patients. METHODS: A total of 62 consecutive PD patients were included in the study. Patients were evaluated using the Brazilian version of the PD Sleep Scale, Portuguese Language version of Epworth's Daytime Sleepiness Scale validated for Brazilian population, Brazilian Portuguese version of PD Quality of Life Scale, and Global Deterioration Scale. Evaluation of the sleep disorders was performed by clinical interview and polysomnography. RESULTS: EFM was found in 62.7% of PD patients. EFM was found to be associated with obstructive sleep apnea syndrome and advanced age. CONCLUSIONS: EFM occurs in a significantly high proportion of PD patients and is related to obstructive sleep apnea syndrome (OSAS) and advanced age, so EFM should be systematically investigated by polysomnography (PSG) in PD patients.

Relationship between hepcidin levels and periodic limb movement disorder in patients with obstructive sleep apnea syndrome.

PURPOSE: This study was aimed to assess potential correlations between periodic leg movement (PLM) index, hepcidin levels, and iron status in patients with obstructive sleep apnea syndrome (OSAS). METHODS: Forty-four newly diagnosed OSAS patients and 49 non-apneic controls were enrolled in this study. All patients underwent polysomnographic evaluation. The hepcidin, iron, ferritin, total iron binding capacity, and C-reactive protein levels were measured. RESULTS: The mean age was 47.4 ± 7.2 years (18-68) in the OSAS group and 44.9 ± 11.1 years (23-65) in the control group. There were no differences in age, gender, and smoking between OSAS patients and controls. Mean apnea-hypopnea index (AHI) was 25.1 events/h. Mean serum hepcidin levels were significantly higher in OSAS subjects (725.9 ng/ml) than in control subjects (646.0 ng/ml) (p < 0.001). Serum iron levels were significantly lower in the OSAS and PLM disorder groups than in control subjects (p < 0.001). Serum hepcidin levels were significantly correlated with AHI (r = 0.453) and PLM index (r = 0.114). Serum iron levels were significantly negatively correlated with AHI (r = -0.169) and PLM index (r = -0.180). CONCLUSIONS: In our study, the level of hepcidin was increased in patients with OSAS. Our study indicates that levels of hepcidin correlate with the AHI and PLM index severity of OSAS.

Paroxysmal non-epileptic events in infants and toddlers: A phenomenologic analysis.

AIM: The aim of this study was to analyze in detail the clinical phenomenology of paroxysmal non-epileptic events (PNEE) in infants and toddlers. METHODS: We studied all children aged ≤2 years who were diagnosed with PNEE based on video-electroencephalographic (VEEG) recordings. We analyzed the following four clinical domains of each clinical event: (i) motor manifestations (body/limb jerking, complex motor, and asymmetric limb posturing); (ii) oral/vocal (crying, vocalization, sighing); (iii) behavioral change (arrest of activity, staring); (iv) and autonomic (facial flushing, breath holding). RESULTS: Thirty-one of 81 (38.3%) infants and toddlers had 38 PNEE recorded during the study period (12 girls and 19 boys, mean age 10.5 months). The predominant clinical features were as follows: motor in 26/38 events, oral/verbal in 14/38 events, behavioral in 11/38 events, and autonomic in 8/38 events. Epileptic seizures and PNEE coexisted in four children (12.9%). Seventeen children (54.8%) had one or more risk factors suggestive of epilepsy. Twelve children (38.7%) had a normal neurologic examination, 10 (32.3%) had developmental delay, and eight (25.8%) had a family history of epilepsy or seizures. CONCLUSION: VEEG recorded PNEE in nearly 40% of 81 infants and toddlers referred for unclear paroxysmal events in our cohort. Non-epileptic staring spells and benign sleep myoclonus were the most common events recorded, followed by shuddering attacks and infantile masturbation. In addition, greater than one-half of the infants and toddlers had risk factors, raising a concern for epilepsy in the family and prompting the VEEG evaluation, suggesting that paroxysmal non-epileptic seizures may frequently coexist in young children with epilepsy.