1.Unilateral Restless Legs Syndrome.
Sang Wook LEE ; Changwoon CHOI ; Yong Seo KOO ; Ki Young JUNG
Journal of the Korean Neurological Association 2012;30(4):379-380
No abstract available.
Restless Legs Syndrome
2.Restless Legs Syndrome: An Update in Diagnosis and Management.
Journal of the Korean Academy of Family Medicine 2008;29(4):241-250
No abstract available.
Restless Legs Syndrome
3.A Case of Idiopathic Restless Legs Syndrome in a Child.
Do Young KIM ; In Kyu LEE ; Sun Young KIM ; Myung Ho OH ; Young Chang KIM
Journal of the Korean Child Neurology Society 2004;12(2):247-251
Restless legs syndrome(RLS) is a common but frequently undiagnosed sensorimotor disorder. It has distinct clinical manifestations and also it is fairly common in late adulthood. However, it is rarely recognized in children because of the difficulties in expressing the signs and symptoms and the lacks of experience of pediatricians about the disease. Although its underlying pathophysiology is not fully understood, the diagnostic criteria of RLS in children were established in the year of 2003. We experienced a case of idiopathic restless legs syndrome in a 10-year-old boy and we present the case with a brief review of related literature.
Child*
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Humans
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Male
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Restless Legs Syndrome*
4.Objective Sleep Quality in Subjects with Restless Legs Syndrome versus with Psychophysiological Insomnia: Polysomnography and Cardiopulmonary Coupling Analysis.
Geon Youb NA ; Su Jung CHOI ; Eun Yeon JOO ; Seung Bong HONG
Journal of Sleep Medicine 2015;12(1):13-17
OBJECTIVES: To compare the sleep quality in the view of polysomnography (PSG) and cardiopulmonary coupling (CPC) analysis in subjects with restless legs syndrome (RLS) versus with psychophysiological insomnia (PPI). METHODS: The PSG data of 109 subjects with RLS and 86 with PPI (apnea-hypopnea index <5 /h) were collected. All subjects reported sleep onset and maintenance insomnia. CPC parameters were obtained using CPC analyzer in RemLogic. Sleep spectrogram by CPC analyses categorized sleep as "stable" [high-frequency coupling (HFC), 0.1-0.4 Hz] and "unstable" [low-frequency coupling (LFC), 0.1-0.01 Hz], independent of sleep stages. We compared PSG and CPC parameters between two groups and performed correlation analyses to find the PSG parameters to affect CPC parameters. RESULTS: In PSG parameters, subjects with PPI showed significantly longer sleep latency (14.2+/-20.06 vs. 27.5+/-34.96, p<0.001), and decreased sleep efficiency (SE, 80.5+/-14.96 vs. 76.5+/-14.45, p=0.009) than RLS. CPC parameters were not significantly different between groups. In both groups HFC was positively correlated with total sleep time and SE and was negatively associated with time of wake after sleep onset in both groups. Meanwhile, very LFC showed the opposite results to HFC with the same PSG parameters. CONCLUSIONS: Although subjects with RLS or PPI present sleep onset and maintenance insomnia, objective sleep quality was worse in PPI than RLS. It suggests that CPC as a factor to differentiate sleep quality between the RLS and the PPI has a limited role.
Polysomnography*
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Restless Legs Syndrome*
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Sleep Initiation and Maintenance Disorders*
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Sleep Stages
5.A Case of Restless Leg Syndrome Induced by Mirtazapine in a Patient with Major Depressive Disorder.
Han Yong JUNG ; Soyoung Irene LEE ; Dong Hyeon KIM ; Eui Jung CHOI
Korean Journal of Psychopharmacology 2004;15(4):488-491
Mirtazapine is a novel antidepressant and has a unique dual action profile, combining the enhancement of the noradrenergic neurotransmitter system with specific actions on particular serotonergic receptor subtypes. The authors report a case of restless leg syndrome induced by mirtazapine. The patient (46 years old male) with major depressive disorder developed typical restless leg syndrome from the initial period of administration of mirtazapine. Restless leg syndrome was not relieved by reduction of mirtazapine and disappeared rapidly after discontinuation of mirtazapine. The major difference of the case from previously reported cases is the onset time of symptoms. We may consider that mirtazapine can induce dopaminergic side effect like a restless leg syndrome promptly as its fast-acting antidepressant effect.
Depressive Disorder, Major*
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Humans
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Neurotransmitter Agents
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Restless Legs Syndrome*
6.Comparison of therapeutic effects of acupoints selected along different meridians on restless legs syndrome.
Wen ZHOU ; Di-hua WANG ; Rong-kun YANG ; Hong ZHOU
Chinese Acupuncture & Moxibustion 2005;25(9):616-618
OBJECTIVETo compare therapeutic effects of different acupoints selected on restless legs syndrome.
METHODSEighty-one cases were randomly divided into a treatment group (n=41) treated by acupoint selection method according to nerve anatomy and combination of positive findings with neurobiological theory, and a control group (n=40) treated by traditional acupoint selection method.
RESULTSThe effective rate and the markedly effective rate were 97.6% and 90.3% in the treatment group, and 75.0% and 60.0% in the control group with significant differences between the two groups (P < 0.01), and there was a significant difference between the two groups in the needed treatment times for the cured cases (P < 0.01).
CONCLUSIONThe acupoint selection method according to nerve anatomy, positive findings and neurobiological theory has a better therapeutic effect on restless legs syndrome as compared with the traditional method.
Acupuncture Points ; Acupuncture Therapy ; Humans ; Meridians ; Restless Legs Syndrome
7.A Domestic Diagnosis System for Early Restless Legs Syndrome Based on Deep Learning.
Ping ZHOU ; Luojie HUANG ; Qingxian ZHAO ; Wenjin XIAO ; Siyu LI
Chinese Journal of Medical Instrumentation 2019;43(2):79-82
Restless legs syndrome,as a common sleep disorder,has nowadays long been diagnosed by self-rating scale and polysomnography.In this paper,a domestic diagnosis system for early restless legs syndrome based on deep learning is proposed,which is suitable for early patients with unstable symptoms in routine diagnosis.The hardware system is installed in the bed.And the non-contact sleeping dynamic signal acquisition is realized based on the acceleration sensors.The software system uses deep learning to classify and recognize the signals.A Fully Connected Feedforward Network based on Keras framework is constructed to recognize seven kinds of activities during sleeping.The accuracy of comprehensive classification is 97.83%.Based on former results,the periodic limb movement index and awakening index were evaluated to make the diagnosis of restless legs syndrome.
Deep Learning
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Humans
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Movement
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Polysomnography
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Restless Legs Syndrome
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diagnosis
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Sleep
8.Acute-Withdrawal Restless Legs Syndrome Following Abrupt Cessation of Short-Term Tramadol.
Young Min PARK ; Hye Kyeong PARK ; Leen KIM ; Heon Jeong LEE ; Seung Gul KANG
Psychiatry Investigation 2014;11(2):204-206
We report a young man who had received tramadol for pain control and experienced an uncomfortable sensation in both legs immediately after tramadol withdrawal that worsened at rest and at night, and which could be relieved only by moving the legs. He suffered from insomnia and paced up and down in his house every night. Readministration of tramadol dramatically resolved his symptoms of restless legs syndrome (RLS), but they reappeared after tramadol withdrawal. Tramadol was therefore replaced with ropinirole, which was discontinued after several weeks, and there was no recurrence of his RLS symptoms. This patient appeared to have developed tramadol-withdrawal-induced RLS, and this case report emphasizes the importance of monitoring for withdrawal-type symptoms like RLS when tramadol intake is being stopped.
Humans
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Leg
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Recurrence
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Restless Legs Syndrome*
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Sensation
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Sleep Initiation and Maintenance Disorders
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Substance Withdrawal Syndrome
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Tramadol*
9.Restless Leg Syndrome and Psychotropic Drug.
Sleep Medicine and Psychophysiology 2010;17(1):5-10
Restless legs syndrome (RLS) is a common sensorimotor disorder that is characterized by an urge to move the legs and peculiar, unpleasant sensations deep in the legs and its prevalence in the general population is between 3.2% and 15%. RLS significantly impairs patients' lives, often by severely disrupting sleep. However, both clinicians and patients under-recognize the RLS. RLS phenotypes include an idiopathic form and secondary form that is usually resulted from various causative conditions. The pathophysiology of RLS may be related with the dopaminergic system, which is closely linked to a number of psychotropic medications, including antidepressant and antipsychotics. Several antidepressants and antipsychotics have been shown to induce or exacerbate RLS. We need pay attention to the fact that commonly prescribed medications can be the cause of RLS.
Antidepressive Agents
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Antipsychotic Agents
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Humans
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Leg
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Phenotype
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Prevalence
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Restless Legs Syndrome
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Sensation
10.A Genome-Wide Association Study Identifies UTRN Gene Polymorphism for Restless Legs Syndrome in a Korean Population.
Chul Hyun CHO ; Ji Hye CHOI ; Seung Gul KANG ; Ho Kyoung YOON ; Young Min PARK ; Joung Ho MOON ; Ki Young JUNG ; Jin Kyu HAN ; Hong Bum SHIN ; Hyun Ji NOH ; Yong Seo KOO ; Leen KIM ; Hyun Goo WOO ; Heon Jeong LEE
Psychiatry Investigation 2017;14(6):830-838
OBJECTIVE: Restless legs syndrome (RLS) is a highly heritable and common neurological sensorimotor disease disturbing sleep. The objective of study was to investigate significant gene for RLS by performing GWA and replication study in a Korean population. METHODS: We performed a GWA study for RLS symptom group (n=325) and non-RLS group (n=2,603) from the Korea Genome Epidemiology Study. We subsequently performed a replication study in RLS and normal controls (227 RLS and 229 controls) to confirm the present GWA study findings as well as previous GWA study results. RESULTS: In the initial GWA study of RLS, we observed an association of rs11645604 (OR=1.531, p=1.18×10−6) in MPHOSPH6 on chromosome 16q23.3, rs1918752 (OR=0.6582, p=1.93×10−6) and rs9390170 (OR=0.6778, p=7.67×10−6) in UTRN on chromosome 6q24. From the replication samples, we found rs9390170 in UTRN (p=0.036) and rs3923809 and rs9296249 in BTBD9 (p=0.045, p=0.046, respectively) were significantly associated with RLS. Moreover, we found the haplotype polymorphisms of rs9357271, rs3923809, and rs9296249 (overall p=5.69×10−18) in BTBD9 was associated with RLS. CONCLUSION: From our sequential GWA and replication study, we could hypothesize rs9390170 polymorphism in UTRN is a novel genetic marker for susceptibility to RLS. Regarding with utrophin, which is encoded by UTRN, is preferentially expressed in the neuromuscular synapse and myotendinous junctions, we speculate that utrophin is involved in RLS, particularly related to the neuromuscular aspects.
Epidemiology
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Genetic Markers
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Genome
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Genome-Wide Association Study*
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Haplotypes
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Korea
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Restless Legs Syndrome*
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Synapses
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Utrophin