29 results match your criteria: "Sleep-Wake Center SEIN[Affiliation]"

ADHD is highly comorbid with Delayed Sleep Phase Syndrome (DSPS). Both are associated with obesity and diabetes, which can be caused by long-term dysregulations of appetite and glucose metabolism. This study explores hormones involved in these processes and the effects of chronotherapeutic interventions in a small sample of adults with ADHD and DSPS.

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Article Synopsis
  • The study focused on how sodium oxybate treatment (SXB) affects BMI in children with narcolepsy and cataplexy through a randomized and controlled approach over a year or more.
  • Results showed that among participants who had not previously taken SXB, their BMI percentile significantly decreased, with most overweight participants shifting to normal weight status.
  • In contrast, participants already on SXB at the start of the study experienced a smaller decrease in BMI percentile, with some still transitioning to a healthier weight category.
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Objective: To obtain insight in the spectrum of narcolepsy symptoms and associated burden in a large cohort of patients.

Methods: We used the Narcolepsy Monitor, a mobile app, to easily rate the presence and burden of 20 narcolepsy symptoms. Baseline measures were obtained and analyzed from 746 users aged between 18 and 75 years with a reported diagnosis of narcolepsy.

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Delayed sleep phase syndrome (DSPS) is the most common sleep disturbance in adults with attention-deficit/hyperactivity disorder (ADHD). We previously showed that chronotherapy with melatonin effectively advanced the dim-light melatonin onset (DLMO), a biomarker for the internal circadian rhythm, by 1.5 h and reduced ADHD symptoms by 14%.

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Purpose: Narcolepsy type-1 (NT1) is a rare chronic neurological sleep disorder with excessive daytime sleepiness (EDS) as usual first and cataplexy as pathognomonic symptom. Shortening the NT1 diagnostic delay is the key to reduce disease burden and related low quality of life. Here we investigated the changes of diagnostic delay over the diagnostic years (1990-2018) and the factors associated with the delay in Europe.

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Data-Driven Phenotyping of Central Disorders of Hypersomnolence With Unsupervised Clustering.

Neurology

June 2022

From the Sleep Wake Center SEIN Heemstede (J.K.G., R.F., G.J.L.), Stichting Epilepsie Instellingen Nederland, Heemstede; Department of Neurology and Clinical Neurophysiology (J.K.G., R.F., G.J.L.), Leiden University Medical Center; Department of Anatomy and Neurosciences (J.K.G., S.M.), Amsterdam UMC (Location VUmc), the Netherlands; Center for Sleep Medicine, Sleep Research and Epileptology (Z.Z., R.K.), Klinik Barmelweid AG, Barmelweid, Switzerland; Leiden Observatory (M.S.S.L.O.), Leiden University, the Netherlands; Sleep-Wake Disorders Unit (Y.D., L.B.), Department of Neurology, Gui-de-Chauliac Hospital, CHU Montpellier; National Reference Centre for Orphan Diseases, Narcolepsy, Idiopathic Hypersomnia, and Kleine-Levin Syndrome (Y.D., L.B.); Institute for Neurosciences of Montpellier INM (Y.D., L.B.), Univ Montpellier, INSERM, France; Neurology Department (G.M.), Hephata Klinik, Schwalmstadt, Germany; Department of Biomedical, Metabolic and Neural Sciences (G.P.), University of Modena and Reggio Emilia; IRCCS Istituto delle Scienze Neurologiche di Bologna (G.P, F.P.), Bologna, Italy; Neurophysiology and Sleep Disorders Unit (R.d.R.-V.), Hospital Vithas Nuestra Señora de América, Madrid; Neurology Service (J.S.C.), Institut de Neurociències Hospital Clínic, University of Barcelona, Spain; Neurology Department and Centre of Clinical Neurosciences (K.S.), First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic; Helsinki Sleep Clinic (M.P.), Vitalmed Research Center, Finland; Sleep Medicine Center Kempenhaeghe (S.O.), Heeze; Eindhoven University of Technology (S.O.), the Netherlands; Sleep and Epilepsy Unit-Clinical Neurophysiology Service (R.P.-A.), University General Hospital Gregorio Marañón, Research Institute Gregorio Marañón; University Complutense of Madrid (R.P.-A.), Spain; Center for Investigation and Research in Sleep (R.H.), Lausanne University Hospital, Switzerland; Serviço de Neurofisiologia (A.M.d.S.), Hospital Santo António/Centro Hospitalar Universitário do Porto and UMIB-Instituto Ciências Biomédicas Abel Salazar, Universidade do Porto, Portugal; Neurology Department (B.H., A.H.), Sleep Disorders Clinic, Innsbruck Medical University, Austria; Department of Clinical Neurophysiology (A.W.), Institute of Psychiatry and Neurology, Warsaw, Poland; Department of Sleep Medicine and Neuromuscular Disorders (A.H.), University of Münster, Germany; Neurology Department (E.F.), Medical Faculty of P.J. Safarik University, University Hospital of L. Pasteur Kosice, Kosice, Slovak Republic; Neurology Department (M.M.), EOC, Ospedale Regionale di Lugano, Ticino, Switzerland; Department of Sleep Medicine (J.B.), National Institute of Mental Health, Klecany, Czech Republic; Fundacio d`Investigacio Sanitaria de les illes balears (F.C.), Hospital Universitari Son Espases, Palma de Mallorca, Spain; Department of Neurology (C.L.B., M.H.S., R.K.), Inselspital, Bern University Hospital, University of Bern, Switzerland; and Department of Biomedical and Neuromotor Sciences (F.P.), University of Bologna, Italy.

Background And Objectives: Recent studies fueled doubts as to whether all currently defined central disorders of hypersomnolence are stable entities, especially narcolepsy type 2 and idiopathic hypersomnia. New reliable biomarkers are needed, and the question arises of whether current diagnostic criteria of hypersomnolence disorders should be reassessed. The main aim of this data-driven observational study was to see whether data-driven algorithms would segregate narcolepsy type 1 and identify more reliable subgrouping of individuals without cataplexy with new clinical biomarkers.

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This protocol describes an innovative study to investigate the relationship between sleep, shift work and the immune response to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2; coronavirus disease 2019 [COVID-19]) vaccination. As the COVID-19 pandemic is a global crisis with devastating health, social and economic impacts, there is a pressing need for effective vaccination programmes. Previous influenza and hepatitis vaccination studies suggest that lack of sleep can negatively alter immune responsiveness, while circadian misalignment most likely may also play an important role in the immune response to vaccination.

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We reviewed current definitions of vigilance to propose a definition, applicable in sleep medicine. As previous definitions contained terms such as attention, alertness, and arousal, we addressed these concepts too. We defined alertness as a quantitative measure of the mind state governing sensitivity to stimuli.

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Introduction: We aimed to investigate risk factors for fatigue in patients with systemic lupus erythematosus (SLE) and neuropsychiatric symptoms in order to identify potential interventional strategies.

Methods: Patients visiting the neuropsychiatric SLE (NPSLE) clinic of the Leiden University Medical Center between 2007-2019 were included. In a multidisciplinary consensus meeting, SLE patients were classified as having neuropsychiatric symptoms of inflammatory origin (inflammatory phenotype) or other origin (non-inflammatory phenotype).

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Purpose: To evaluate the use of immunosuppressive treatment, clinical outcome and diagnostic strategy in patients with systemic lupus erythematosus (SLE) presenting with clinical features of transverse myelitis (TM), but normal MRI of the spinal cord (sMRI) and normal cerebrospinal fluid (CSF) assessment, and to suggest a clinical guideline.

Patients And Methods: All patients with SLE and clinical features compatible with (sub)acute TM visiting the NPSLE clinic of the LUMC between 2007 and 2020 were included. Information on baseline characteristics, investigations, treatment and outcomes was collected from electronic medical records.

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New 2013 incidence peak in childhood narcolepsy: more than vaccination?

Sleep

February 2021

Center for Sleep Medicine, Sleep Research and Epileptology, Clinic Barmelweid AG, Barmelweid, Switzerland.

Article Synopsis
  • There has been a global rise in narcolepsy type-1 (NT1) cases since the 2009-2010 H1N1 influenza pandemic, particularly noticeable in 2010, where incidence rates spiked by 2.54 times.
  • This increase affected both children (2.75-fold) and adults (2.43-fold), with a subsequent rise specific to children/ adolescents in 2013 (2.09-fold) linked to an immune response rather than the vaccination.
  • The findings suggest that the post-pandemic increase in NT1 may be related to both the H1N1 virus and potentially other viral factors, highlighting the need for further research into the immune mechanisms involved in narcolepsy
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A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.

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Context: Sleep-related breathing disorders (SRBD) are common in people with Prader-Willi syndrome (PWS). Young adults with PWS benefit from GH continuation after attaining adult height by maintaining the improved body composition obtained during childhood. There are, no studies about the effects of GH on SRBD in young adults with PWS who were treated with GH during childhood.

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Narcolepsy type 1 is a chronic sleep disorder caused by a deficiency of the orexin (hypocretin) neuropeptides. In addition to sleep regulation, orexin is important for motivated control processes. Weight gain and obesity are common in narcolepsy.

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Background: In 2010, a safety signal was detected for narcolepsy following vaccination with Pandemrix, an AS03-adjuvanted monovalent pandemic H1N1 influenza (pH1N1) vaccine. To further assess a possible association and inform policy on future use of adjuvants, we conducted a multi-country study of narcolepsy and adjuvanted pH1N1 vaccines.

Methods: We used electronic health databases to conduct a dynamic retrospective cohort study to assess narcolepsy incidence rates (IR) before and during pH1N1 virus circulation, and after pH1N1 vaccination campaigns in Canada, Denmark, Spain, Sweden, Taiwan, the Netherlands, and the United Kingdom.

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Narcolepsy is a rare life-long disease that exists in two forms, narcolepsy type-1 (NT1) or type-2 (NT2), but only NT1 is accepted as clearly defined entity. Both types of narcolepsies belong to the group of central hypersomnias (CH), a spectrum of poorly defined diseases with excessive daytime sleepiness as a core feature. Due to the considerable overlap of symptoms and the rarity of the diseases, it is difficult to identify distinct phenotypes of CH.

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Background: There are increasing data suggesting the involvement of the immune system in narcolepsy. The co-occurrence of narcolepsy with other autoimmune disorders (including multiple sclerosis, MS) is rare.

Patients And Methods: International multicenter sleep center survey and literature review on narcolepsy with (NC) and without (NwC) cataplexy.

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Background It has been suggested that migraine attacks strike according to circadian patterns and that this might be related to individual chronotype. Here we evaluated and correlated individual chronotypes, stability of the circadian rhythm, and circadian attack timing in a large and well-characterised migraine population. Methods In 2875 migraine patients and 200 non-headache controls we assessed differences in: (i) distribution of chronotypes (Münich Chronotype Questionnaire); (ii) the circadian rhythm's amplitude and stability (Circadian Type Inventory); and (iii) circadian timing of migraine attacks.

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Study Objectives: Besides influencing vigilance, orexin neurotransmission serves a variety of functions, including reward, motivation, and appetite regulation. As obesity is an important symptom in orexin-deficient narcolepsy, we explored the effects of satiety on food-related choices and spontaneous snack intake in patients with narcolepsy type 1 (n = 24) compared with healthy matched controls (n = 19). In additional analyses, we also included patients with idiopathic hypersomnia (n = 14) to assess sleepiness-related influences.

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Pandemic influenza vaccine & narcolepsy: simulations on the potential impact of bias.

Expert Rev Vaccines

May 2016

a Department of Medical Informatics Erasmus MC Rotterdam , The Netherlands.

Several studies have identified an association between Pandemrix(TM), an AS03 adjuvanted pandemic influenza A(H1N1) vaccine, and narcolepsy, a rare and under-diagnosed sleep disorder with a median onset-to-diagnosis interval of ten years. This paper reviews potential sources of bias in published studies and aims to provide, through simulation, methodological recommendations for assessment of vaccine safety signals. Our simulation study showed that in the absence of an association between the vaccine and the outcome, presence of detection bias and differential exposure misclassification could account for elevated risk estimates.

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Narcolepsy with cataplexy is a rare disease with an estimated prevalence of 0.02% in European populations. Narcolepsy shares many features of rare disorders, in particular the lack of awareness of the disease with serious consequences for healthcare supply.

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Study Objectives: The carotid bodies are thought to play an important role in sleep-dependent autonomic changes. Patients who underwent resection of bilateral carotid body tumors have chronically attenuated baroreflex sensitivity. These subjects provide a unique opportunity to investigate the role of the baroreflex during sleep.

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Novel approach identifies SNPs in SLC2A10 and KCNK9 with evidence for parent-of-origin effect on body mass index.

PLoS Genet

July 2014

Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland; Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.

The phenotypic effect of some single nucleotide polymorphisms (SNPs) depends on their parental origin. We present a novel approach to detect parent-of-origin effects (POEs) in genome-wide genotype data of unrelated individuals. The method exploits increased phenotypic variance in the heterozygous genotype group relative to the homozygous groups.

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