Clinical study of sleep related rhythmic movement disorder

Jie Bai; Tie MA; Wenjuan Zhang; Beibei Chen; Na Yuan; Zhongliang WU; Yonghong Liu

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Clinical study of sleep related rhythmic movement disorder

VernacularTitle:睡眠相关的节律性运动障碍的临床特点
Author: Jie BAI ; Tie MA ; Wenjuan ZHANG ; Beibei CHEN ; Na YUAN ; Zhongliang WU ; Yonghong LIU
Publication Type:Journal Article
Keywords: Nocturnal myoclonus syndrome; Electroencephalography; Polysomnography; Electromyography; Clonazepam; Trazodone
From: Chinese Journal of Neurology 2016;49(3):243-246
CountryChina
Language:Chinese
Abstract: Objective To discuss the clinical and electrophysiological characteristics of sleep related rhythmic movement disorder ( SRMD).Methods We studied the clinical and electrophysiological characteristics of 3 patients diagnosed as SRMD in the Electroencephalography Monitoring Center of Xijing Hospital, Xi′an, China.The 3 patients accorded with diagnostic criteria of SRMD that international classification of sleep disorders-3 edition recommended and were followed up for more than 1 year.Results These 3 male patients were ranging from 6 to 27 years old.The onset age of the patient 1 was 13 years,and the others were 1 year old.The patient 2 became symptom-free at the age of 7.The patient 3 relieved at 2-year-old, but recurred at the age of 21. There was no epileptic seizure discharge in video-electroencephalography of the 3 patients, but synchronous electromyography changes during the attack were mistaken for slow wave.Video-polysomnography showed that numbers of awakenings and arousals index were high.Two patients were treated with clonazepam.One had an obvious curative effect, the other had marked efficacy until added trazodone.Conclusions SRMD can occur not only in infants, but also in adolescents and adults.Patients who have the problems of the sleep quality should be treated.Clonazepam can obviously relieve symptoms and improve sleep quality.Patients who do not have a good effect with clonazepam can try to add trazodone.Video-electroencephalography monitoring and interpreting it correctly are important to the diagnosis of paroxysmal disease.