Abstracts / Sleep Medicine 14S (2013) e18–e92
Introduction: Rapid eye movement (REM) sleep behavior disorder (RBD) is characterized by abnormal and excessive motor activity in electromyographic (EMG) during REM sleep. Presence of sleep bBruxism (SB)/tooth grinding and oromandibular myoclonus (OMM) were investigated in RBD patients not taking medications in comparison to age matched control subjects (CTRL). Materials and methods: Polygraphy sleep and oromotor activity data from 9 RBD patients (68.22 3.63 y.o.) and 9 healthy CTRL (65.11 3.95 y.o.) were analyzed. RBD patients were diagnosed by a neurologist and confirmed by sleep laboratory recording. Rhythmic masticatory muscle activity (RMMA), a marker of sleep bruxism, and oromandibular myoclonus were scored from jaw electromyographic recordings during sleep using published criteria (Lavigne 1996; Kato 1999). Results: RBD patients had significantly higher index of RMMA/SB than CTRL during sleep (p < 0.01). During REM sleep, RBD patients had significantly higher index of RMMA/SB episodes and bursts than CTRL subjects (p < 0.001). During non-REM sleep, no significantly difference between RBD and CTRL was observed (p = 0.12). Compared to controls, the OMM episode and burst indexes were significantly higher in RBD patients (p = 0.04 and 0.03, respectively). Conclusion: RBD patient’s not taking medication had significantly higher RMMA activity, a proxy of sleep bruxism diagnosis, than CTRL subjects over night and during REM sleep. The higher index of RMMA/SB during REM sleep of RBD patients suggest that activity in jaw closing muscles can be scored during sleep of suspected RBD patients. Furthermore, sleep bruxism occurring during REM may be a concomitant finding influencing the diagnosis and management of both SB and RBD. Acknowledgements: (Supported by the Canadian Institutes of Health Research. grant from CIHR). http://dx.doi.org/10.1016/j.sleep.2013.11.094
Sleep, symptom-ratings and serum ferritin levels in children with ADHD M. Abou-Khadra, O. Amin, O. Shaker, T. Rabah Introduction: The present study was conducted to describe sleep problems in a sample of Egyptian children with ADHD and to examine the effect of low serum ferritin levels on their sleep and symptom-ratings. Materials and methods: The parents of 41 ADHD children, aged 6– 12 years, filled out the Children’s Sleep Habits Questionnaire (CSHQ) and Conners’ Parent Rating Scale-Revised: long version (CPRS-R:L) in Arabic. Serum ferritin levels of the children were determined with the enzyme-linked immunosorbent assay method. The parents of 62 normal control children filled out the CSHQ. Results: The ADHD group had significantly higher scores on bedtime resistance, sleep anxiety, parasomnias, sleep-disordered breathing, daytime sleepiness and global sleep disturbance (CSHQ total score) than in the control group. Children with serum ferritin levels <30 ng/mL had more disturbed sleep than children with serum ferritin levels P30 ng/mL. There were significant negative correlations between sleep duration subscale, total score of CSHQ, and serum ferritin levels (p<0.05). There were no significant differences in ADHD symptoms in regard to ferritin levels (p > 0.05). Conclusion: Sleep problems are common among this sample of children with ADHD. This study suggests an association between low serum ferritin levels and sleep disturbances among Egyptian children with ADHD. Acknowledgements: We would like to thank the parents and the children for participation in this study. Also, we would like to thank
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Janssen-Cilag pharmaceutical company that paid the cost of the CPRS-R:L questionnaire. http://dx.doi.org/10.1016/j.sleep.2013.11.095
Sleep patterns and problems among egyptian children with ADHD: The impact of symptoms severity and subtypes O. Amin, M. Abou-Khadra Introduction: Sleep problems are common among children with attention deficit hyperactivity disorder (ADHD). The present study was conducted to describe sleep patterns and problems in a sample of Egyptian children with ADHD and to examine the impact of symptoms severity and subtypes on their sleep. Materials and methods: The parents of 100 ADHD children, aged 6– 12 years, filled out the Children’s Sleep Habits Questionnaire (CSHQ) and Conners’ Parent Rating Scale-Revised: long version (CPRS-R:L) in Arabic. The parents of 100 normal control children filled out the CSHQ. Results: The ADHD group had significantly higher scores on bedtime resistance, sleep duration, sleep anxiety, parasomnias, daytime sleepiness and global sleep disturbance (CSHQ total score) than in the control group. There were significant positive correlations between oppositional, hyperactivity, cognitive problems/inattention, and ADHD index subscales raw score and CSHQ scale scores. Children with Combined subtype had significantly higher scores than controls in bedtime resistance (p < 0.001), sleep anxiety (p < 0.001), parasomnias (p = 0.001), daytime sleepiness (p = 0.014), and total score (p<0.001). There were no significant difference between ADHD subtypes in regard to CSHQ scale scores (p > 0.05). Conclusion: Sleep problems are common among this sample of children with ADHD. This study suggests that sleep disturbances are related to symptoms severity and ADHD subtype. Acknowledgements: We would like to thank the parents and the children for participation in this study. Also, we would like to thank Janssen-Cilag pharmaceutical company that paid the cost of the CPRS-R:L questionnaire. http://dx.doi.org/10.1016/j.sleep.2013.11.096
Metabolomic fingerprinting approach to sleep apnea disorder in human plasma M. Troncoso Acevedo 1, T. Gómez García 1, A. Ferrarini 2, F. Ruperez 2, A. Garcia 2, N. Gonzalez Mangado 1 1 Servicio de Neumología, IIS-Fundación Jiménez Díaz, Brazil 2 CEMBIO, Facultad de Farmacia, Universidad CEU San Pablo, Spain
Introduction: Obstructive sleep apnea/hypopnea syndrome (OSAHS) is becoming a major cause of morbidity and it is the most common medical cause of daytime sleepiness. Metabolomics fingerprinting is able to achieve through the identification of novel biomarkers the comprehensive characterization of the entire metabolome of a disease, with the final aim to predict response to different therapies and outcomes and increase the knowledge regarding the pathological bases underlying sleep disorders. Materials and methods: A non-targeted metabolomic study of plasma from 42 OSAHS patients and 16 healthy subjects was performed. The individual analytical fingerprints obtained by gas chromatography coupled to mass spectrometry (GC-Q-MS) were deconvoluted using AMDIS software and identified by the