Restless legs syndrome and its variants in acute ischemic stroke

Shiina, Tomohiko; Suzuki, Keisuke; Okamura, Madoka; Matsubara, Takeo; Hirata, Koichi

doi:10.1111/ane.13055

Cited by 14 publications

(26 citation statements)

References 32 publications

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“…As the whole-brain results of our study show, the most important and interhemispheric variations occur in the basal ganglia, with the medial and lateral striata contributing the most to the clinical and anamnestic differences in the pregnancyrelated RLS group. Along with our results, the human lesion studies (Lee et al, 2009;Shiina et al, 2019;Woo et al, 2017) as well as the recent RLS animal model studies (Guo et al, 2017) underscore the crucial role of the basal ganglia in the manifestation of the RLS spectrum. Based on the brain phenotype model, we conclude therefore that different factors such as stress response, history of SLE or life circumstances (e.g.…”

Section: Discussionsupporting

confidence: 87%

Phenotypical predictors of Restless Legs Syndrome in pregnancy and their association with basal ganglia and the limbic circuits

Chechko

Lefort-Besnard

Goecke

et al. 2020

Preprint

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The pregnancy-related restless legs syndrome (RLS) is thought to have a multifactorial etiology. However, the reason behind the manifestation of RLS during pregnancy remains largely elusive. A neurological and obstetrical cohort of 308 postpartum women was screened for RLS symptoms twice: 1 to 6 days (T0) and 12 weeks postpartum (T1). 57 participants were identified as affected by pregnancy-associated RLS. The clinical and anamnestic indicators of the condition were assessed by a pattern-learning classifier trained to predict the RLS status. Structural MRI was obtained from 25 of the 57 participants with RLS history in pregnancy. In this sample, a multivariate two-window algorithm was employed to systematically chart the relationship between brain structures and phenotypical predictors. The RLS prevalence rate in our sample was 19% (n=57), with the women suffering from RLS being older, more often unmarried, affected by gestational diabetes and having been more exposed to stressful life events. A history of RLS and the severity and frequency of repetitive compulsive movements were found to be the strongest predictors of RLS manifestation. In the RLS group, high cortisol levels, being married and receiving iron supplements were found to be associated with increased volumes in the bilateral striatum. Investigating pregnancy-related RLS in a frame of brain phenotype modes may help shed light on the heterogeneity of the condition.

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Section: Discussionsupporting

confidence: 87%

Phenotypical predictors of Restless Legs Syndrome in pregnancy and their association with basal ganglia and the limbic circuits

Chechko

Lefort-Besnard

Goecke

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…The most important and interhemispheric variations occur in the basal ganglia, with the medial and lateral striatum contributing the most to the clinical and anamnestic differences in individuals experiencing RLS symptoms in pregnancy. Along with our results, the human lesion studies 39 – 41 as well as the recent RLS animal model studies 42 underscore the crucial role of the basal ganglia in the manifestation of the RLS spectrum. Based on the brain-phenotype model, we conclude therefore that different factors such as severity and history of RLS symptoms, stress response, history of SLE or life circumstances (e.g.…”

Section: Discussionsupporting

confidence: 84%

Phenotypical predictors of pregnancy-related restless legs syndrome and their association with basal ganglia and the limbic circuits

Chechko

Lefort-Besnard

Goecke

et al. 2021

Sci Rep

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Restless legs syndrome (RLS) in pregnancy is a common disorder with a multifactorial etiology. A neurological and obstetrical cohort of 308 postpartum women was screened for RLS within 1 to 6 days of childbirth and 12 weeks postpartum. Of the 308 young mothers, 57 (prevalence rate 19%) were identified as having been affected by RLS symptoms in the recently completed pregnancy. Structural and functional MRI was obtained from 25 of these 57 participants. A multivariate two-window algorithm was employed to systematically chart the relationship between brain structures and phenotypical predictors of RLS. A decreased volume of the parietal, orbitofrontal and frontal areas shortly after delivery was found to be linked to persistent RLS symptoms up to 12 weeks postpartum, the symptoms' severity and intensity in the most recent pregnancy, and a history of RLS in previous pregnancies. The same negative relationship was observed between brain volume and not being married, not receiving any iron supplement and higher numbers of stressful life events. High cortisol levels, being married and receiving iron supplements, on the other hand, were found to be associated with increased volumes in the bilateral striatum. Investigating RLS symptoms in pregnancy within a brain-phenotype framework may help shed light on the heterogeneity of the condition.

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“…Primary studies: Eight studies of class II and III quality were included [148][149][150][151][152][153][154][155]. Three studies evaluated prospectively the frequency of RLS/PLMS in stroke patients [149][150][151].…”

Section: Results Of Literature Searchmentioning

confidence: 99%

EAN/ERS/ESO/ESRS statement on the impact of sleep disorders on risk and outcome of stroke

et al. 2020

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@ERSpublicationsEvidence suggests a bidirectional relationship between sleep and stroke. However, the pathophysiological base of the associations and the possibilities of improving prevention and outcome through sleep-related interventions require further evaluation.ABSTRACT Sleep disorders are highly prevalent in the general population and may be linked in a bidirectional fashion to stroke, which is one of the leading causes of morbidity and mortality.Four major scientific societies established a task force of experts in neurology, stroke, respiratory medicine, sleep medicine and methodology, to critically evaluate the evidence regarding potential links and the impact of therapy. 13 research questions were evaluated in a systematic literature search using a stepwise hierarchical approach: first, systematic reviews and meta-analyses; second, primary studies postdating the systematic reviews/meta-analyses. A total of 445 studies were evaluated and 88 included. Statements were generated regarding current evidence and clinical practice.Severe obstructive sleep apnoea (OSA) doubles the risk for incident stroke, especially in young to middle-aged patients. Continuous positive airway pressure (CPAP) may reduce stroke risk, especially in treatment-compliant patients. The prevalence of OSA is high in stroke patients and can be assessed by polygraphy. Severe OSA is a risk factor for recurrence of stroke and may be associated with stroke mortality, while CPAP may improve stroke outcome. It is not clear if insomnia increases stroke risk, while pharmacotherapy of insomnia may increase it. Periodic limb movements in sleep (PLMS), but not restless limb syndrome (RLS), may be associated with an increased risk of stroke. Preliminary data suggest a high frequency of post-stroke insomnia and RLS and their association with a less favourable stroke outcome, while treatment data are scarce.Overall, the evidence base is best for OSA relationship with stroke and supports active diagnosis and therapy. Research gaps remain especially regarding insomnia and RLS/PLMS relationships with stroke. This article has an editorial commentary: https://doi.

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Restless legs syndrome and its variants in acute ischemic stroke

Cited by 14 publications

References 32 publications

Phenotypical predictors of Restless Legs Syndrome in pregnancy and their association with basal ganglia and the limbic circuits

Phenotypical predictors of Restless Legs Syndrome in pregnancy and their association with basal ganglia and the limbic circuits

Phenotypical predictors of pregnancy-related restless legs syndrome and their association with basal ganglia and the limbic circuits

EAN/ERS/ESO/ESRS statement on the impact of sleep disorders on risk and outcome of stroke

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