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Restless Legs Syndrome

Restless Legs Syndorme (RLS) is a neurological disorder characterized by an irresistible urge to move the legs, often accompanied by uncomfortable sensations such as tingling, crawling, or aching.
This condition can severely disrupt sleep and impact daily activities.
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Identify the best protocols and products for your needs, streamlining your research with this AI-driven tool.
Gain the insights you need to advance your understanding and treatment of this complex condition.

Most cited protocols related to «Restless Legs Syndrome»

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Publication 2011
Adult Diagnosis Excessive Daytime Sleepiness Health Personnel Hypersomnolence, Idiopathic Movement Narcolepsy Patients Pharmaceutical Preparations Polysomnography Restless Legs Syndrome Sleep Sleep Apnea, Obstructive Sleep Apnea Syndromes Sleep Disorders Sleeplessness Snoring Somnolence

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Publication 2013
Anxiety Disorders Chronic Fatigue Syndrome Diagnosis Fibromyalgia Irritable Bowel Syndrome Migraine Disorders Multiple Chemical Sensitivity Neck Injuries Panic Attacks Patients Physicians Restless Legs Syndrome Temporomandibular Joint Disorders Tension Headache
We further examined the genes within genome-wide significant loci using gene-based pathway and tissue enrichment analyses45 (link),47 (link),69 (link). Gene-based analysis was performed using PASCAL, which estimated a combined association P value from the summary statistics of multiple SNPs in a gene45 (link). Pathway and ontology enrichment analyses were performed using FUMA69 (link) and EnrichR47 (link). Tissue enrichment analysis was performed using MAGMA46 (link) in FUMA, which controlled for gene size. Pathway and tissue enrichment analyses were also performed on genes within loci belonging to sleep propensity and sleep fragmentation clusters separately.
We constructed a weighted GRS comprising the 42 significant sleepiness loci and tested for associations with other self-reported sleep traits (sleep duration, long sleep duration, short sleep duration, insomnia, chronotype, and day naps), and 7-day accelerometry traits in the UK Biobank. Weighted GRS analyses were performed by summing the products or risk allele count multiplied by the effect estimate reported in the primary GWAS of self-reported daytime sleepiness using R package gds (https://cran.r-project.org/web/packages/gds/gds.pdf). We also tested the GRSs of reported loci for insomnia, sleep duration, short sleep, long sleep, day naps, chronotype, restless legs syndrome (RLS), narcolepsy, and coffee consumption associated with self-reported daytime sleepiness using the same approach. The SNPs selected for each trait include 57 genome-wide significant loci for frequent insomnia49 (link); 78, 27, and 8 loci for sleep duration, long sleep, and short sleep, respectively59 (link); 348 loci for chronotype67 (link); 125 loci for daytime napping; 20 genome-wide significant loci for RLS48 (link); 8 non-HLA suggestive significant loci (P < 10−4) in a narcolepsy case–control study of European Americans51 , and 8 loci for coffee consumption50 (link).
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Publication 2019
Accelerometry Alleles Chronotype Coffee Europeans Genes Genetic Loci Genome Genome-Wide Association Study N-(4-aminophenethyl)spiroperidol Narcolepsy Restless Legs Syndrome Single Nucleotide Polymorphism Sleep Sleep Fragmentation Sleeplessness Somnolence Tissues
Demographic (age, gender, height, weight), CSI-J, and four pain-related outcomes [pain duration, health-related quality of life (QOL), pain intensity, and pain interference] were assessed in all participants. A test-retest reliability of the CSI-J was determined with a time interval of 1 week. These domains were selected because patients whose presenting symptoms may be related to a CSS (e.g. chronic whiplash-associated disorders, fibromyalgia, and PTSD) showed significant relationships between CS outcome and QOL, pain intensity, and disability [33 (link), 40 (link)–42 (link)].
The CSI-J consists of two parts: A and B. Part A is a 25-item self-report questionnaire designed to assess health-related symptoms that are common to CSSs. Each item is rated on a 5-point Likert-type scale (0 = never and 4 = always), with total scores of 0–100. Part B (which is not scored) is designed to determine whether one or more specific disorders, including seven separate CSSs, have been previously diagnosed [restless leg syndrome, chronic fatigue syndrome, fibromyalgia, temporomandibular joint disorder, migraine or tension headaches, irritable bowel syndrome, multiple chemical sensitivities, neck injuries (including whiplash), anxiety or panic attacks, and depression].
Health-related QOL was measured using EuroQol 5-dimension (EQ-5D) [43 (link)]. EQ-5D was developed as an instrument that is not specific to disease, but standardized, and can be used as a complement to existing health-related QOL measures [44 (link)]. It comprises the following five dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. Each dimension has three grades (no problems, some problems, and extreme problems), which can generate a single index value for each health state. These values are numbers on a scale with 1 for full health and 0 for being dead. Tsuchiya et al. showed the Japanese value set [45 (link)].
Pain intensity and pain interference were measured using the Brief Pain Inventory (BPI) [46 (link),47 (link)]. It consists of four pain intensity and seven pain interference items. These items were presented with 0–10 scales, with 0 = no and 10 = worst (completely). From these, individual pain intensity and pain interference scores are calculated by averaging. The validation and clinical utility of BPI has been evaluated for several disorders [48 (link)–50 (link)]. To investigate the prevalence rates of CS severity levels, we referred to the five categories with increasing severity [33 (link)]. The authors reviewed the score distributions of previously published CSI study samples, including those with no CSS diagnosis, those with a single CSS diagnosis, those with multiple CSS diagnoses, and a group of nonpatient comparison subjects. Through empirical reasoning and deduction, using these score distributions as a guide, the CSI was divided into five categories with increasing severity: subclinical (0–29), mild (30–39), moderate (40–49), severe (50–59), and extreme (60–100).
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Publication 2017
6-pyruvoyl-tetrahydropterin synthase deficiency Anxiety BAD protein, human Chronic Fatigue Syndrome Diagnosis Disabled Persons Disease, Chronic Fibromyalgia Gender Irritable Bowel Syndrome Japanese Migraine Disorders Multiple Chemical Sensitivity Neck Injuries Pain Panic Attacks Patients Range of Motion, Articular Restless Legs Syndrome Severity, Pain Temporomandibular Joint Disorders Tension Headache Whiplash Injuries
All participants were assessed for demographic data (age, gendar, height, and weight), pain duration, CSI, health-related quality of life (QOL), pain intensity, and pain interference. CSI-J consists of Parts A and B. Part A consists of a 25-item self-report questionnaire designed to assess health-related symptoms that are common to CSS. Each item is rated on a 5-point Likert-type scale, with total scores ranging from 0 to 100. Part B (which is not scored) asks the participants whether one or more specific disorders, including seven separate CSSs, have been diagnosed previously (restless leg syndrome, chronic fatigue syndrome, fibromyalgia, temporomandibular joint disorder, migraine or tension headaches, irritable bowel syndrome, multiple chemical sensitivities, neck injury (including whiplash], anxiety or panic attacks, and depression).
Health-related QOL was measured using the EuroQol 5-dimension (EQ-5D) instrument [39 (link)]. EQ-5D was developed as a non-disease specific standardized instrument, which could be used to complement existing health-related QOL measure [40 (link), 41 (link)]. It comprises five dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. Each dimension has three grades (no problems, some problems, and extreme problems), which generates a single index value for each health state. These values are numbers on a scale where 1 refers to full health and 0 refers to death.
Pain intensity and interference were measured using the Brief Pain Inventory (BPI) [42 (link), 43 (link)]. BPI comprises four pain intensity and seven pain interference items. These items are rated using a scale of 0–10, where 0 = no pain and 10 = worst possible pain. Based on the values obtained, individual pain intensity and interference scores were evaluated by calculating the mean. The validation and clinical utility of BPI has been evaluated for several disorders [44 (link)–46 (link)].
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Publication 2018
Anxiety BAD protein, human Chronic Fatigue Syndrome Coffin-Siris syndrome Fibromyalgia Irritable Bowel Syndrome Migraine Disorders Multiple Chemical Sensitivity Neck Injuries Panic Attacks Range of Motion, Articular Restless Legs Syndrome Severity, Pain Temporomandibular Joint Disorders Tension Headache Whiplash Injuries

Most recents protocols related to «Restless Legs Syndrome»

The presence of diagnosed sleep disorders, such as insomnia, restless leg syndrome and obstructive sleep apnoea, is determined by the questions ‘Have you ever been told by a doctor or other health professional that you have any of the following?’ and ‘Do you use a Continuous positive airway pressure (CPAP) machine or other appliance when you sleep to treat your sleep apnoea if you have apnoea?’.
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Publication 2023
Apnea Continuous Positive Airway Pressure Health Care Professionals Physicians Restless Legs Syndrome Sleep Sleep Apnea, Obstructive Sleep Apnea Syndromes Sleep Disorders Sleeplessness
The initial search was conducted in February 2022 and last updated in April 2022. To find relevant articles, the Embase, ScienceDirect, Scopus, WoS, PubMed, and Google Scholar databases were checked.
The keywords examined in order to search in the reported databases included: Sleep Disturbance, Sleep Problems, Sleep Deprivation, Sleep Disorders, Sleep, Menopause, Long Sleeper Syndrome, Restless Leg Syndrome, Short Sleeper Syndrome, Sleep Wake Disorders, Obstructive Sleep Apnea.
Publication 2023
Dyssomnias Long Sleeper Syndrome Menopause Restless Legs Syndrome Short Sleeper Syndrome Sleep Sleep Apnea, Obstructive Sleep Disorders Sleep Wake Disorders
Participants with suspected OSA seen between 2013 and 2018 were enrolled in the study. The inclusion criteria were whole-night PSG and a haematological examination; age ≥18 years; and male gender. The 1,352 initially enrolled patients were then screened according to the following exclusion criteria: previously diagnosed with OSA and treated with continuous positive airway pressure (CPAP), oral orthotics, upper airway surgery, etc.; systemic diseases, such as chronic liver disease, renal insufficiency, hyperthyroidism, hypothyroidism, or tumour; mental or neurological disorders; alcoholism; blood or platelet donation in the last 6 months; regular use of drugs affecting coagulation, such as aspirin, clopidogrel hydrogen sulphate tablets, and low-molecular heparin; and other sleep disorders, such as restless legs syndrome and narcolepsy. Ultimately, 903 male patients were included in this cross-sectional observational study.
The study was conducted in accordance with the Declaration of Helsinki. The Ethics Committee approved this study, and the trial was registered (ChiCTR1900025714) prior to commencement. Informed consent was obtained from all participants.
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Publication 2023
Alcoholic Intoxication, Chronic Aspirin BLOOD Clopidogrel Coagulation, Blood Continuous Positive Airway Pressure Disease, Chronic Ethics Committees Heparin Hyperthyroidism Hypothyroidism Liver Liver Diseases Males Narcolepsy Neoplasms Nervous System Disorder Operative Surgical Procedures Orthotic Devices Patients Pharmaceutical Preparations Platelet Donation Renal Insufficiency Restless Legs Syndrome Sleep Disorders sulfuric acid Vision
The population selection flowchart is presented in Fig. 1. Since NHIS-EC was an administrative claim data, we could not apply formal diagnostic criteria of the International RLS Study Group [5 (link)] to identify patients with RLS. Instead, the presence of RLS was defined using the ICD-10 code G25.8. For diagnostic accuracy, patients with RLS were defined as those who had been diagnosed at least twice with this code (n = 5940). Meanwhile, RLS-free controls were defined as those who were never diagnosed with this code (n = 538,046). Among the 5940 patients with RLS, we excluded those diagnosed with dementia before the first diagnosis of RLS (n = 586) and the second diagnosis of RLS (n = 4). Considering the gradual onset of dementia, the minimal gap between the onset of RLS and any type of dementia was set at 2 years to minimize detection bias. Therefore, patients with RLS who were first diagnosed between 2012 and 2013 (n = 2361) or diagnosed with dementia within 2 years after RLS diagnosis (n = 329) were excluded. Additionally, patients with RLS in 2002, the first observation year of the NHIS-EC, were excluded due to the possibility that their first diagnosis was made before the observation period (n = 22). The patients were matched to controls in a maximum 1:4 ratio based on age, sex, and index date. Finally, 2501 patients with RLS and 9977 matched controls were included in the analysis.

Flowchart of study population selection

Abbreviations: NHIS-EC, National Health Insurance Service-Elderly Cohort; RLS, restless leg syndrome

All-cause dementia was defined as AD (ICD-10 F00 or G30), VaD (ICD-10 F01), and other types of dementia (ICD-10 F02, F03, F10.7, G23.1, G31.0, G31.1, G31.2, or G31.8). Dementia patients were defined as those diagnosed at least twice with the relevant ICD code(s) to minimize the possibility of over-classification of cases due to using ICD codes instead of formal diagnostic criteria. If patients had ICD codes of both AD and VaD, we classified these patients into VaD as a primary diagnosis following a previous study using the same database [27 (link)]. Among all-cause dementia cases (n = 874), 54.4% (n = 475) was AD, and 22.2% (n = 194) was VaD, which was consistent with the general epidemiology of dementia in South Korea [28 ]. Patients with other types of dementia were not analyzed separately because of heterogeneous disease entities and small sample sizes.
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Publication 2023
Aged Diagnosis Genetic Heterogeneity Health Services, National National Health Insurance Patients Presenile Dementia Restless Legs Syndrome Tests, Diagnostic
Patients who attended our sleep center from January 2013 to December 2020 that presented with a clinical suspicion of sleep-disordered breathing, including snoring, sleepiness and witnessed sleep apnea, were enrolled in the study. We selected subjects using complete abdominal imaging, then recorded their sleep symptoms, value on the Epworth sleepiness scale (ESS), history of alcohol consumption and smoking, medical history, and current medications. Patients who were previously diagnosed with or treated for OSA were excluded. Other exclusion criteria included: current use of hepatotoxic drugs (including some Chinese herbal medicines or chemotherapeutic drugs); severe cardiopulmonary chronic disease requiring hospitalization; acute inflammatory disease; or other sleep disorders such as restless leg syndrome or narcolepsy. This study complied with the Declaration of Helsinki. It was approved by the ethics committee of the First Affiliated Hospital of Fujian Medical University (Fuzhou, China), and all participants provided their written consent.
Publication 2023
Abdomen Acute Disease Chinese Cor Pulmonale Ethics Committees, Clinical Hospitalization Inflammation Medicines, Herbal Narcolepsy Patients Pharmaceutical Preparations Pharmacotherapy Restless Legs Syndrome Sleep Sleep Apnea Syndromes Sleep Disorders Somnolence

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More about "Restless Legs Syndrome"

Restless Legs Syndrome (RLS), also known as Willis-Ekbom Disease, is a neurological condition characterized by an irresistible urge to move the legs, often accompanied by uncomfortable sensations such as tingling, crawling, or aching.
This sleep-related movement disorder can severely disrupt sleep and impact daily activities.
RLS affects an estimated 5-10% of the population and is more common in older adults and women.
The exact cause of RLS is not fully understood, but it is believed to involve an imbalance in the brain's dopamine system and may have a genetic component.
Diagnosis of RLS typically involves a medical history and physical examination.
Healthcare professionals may also use SPSS Statistics software, the Apnea Link monitor, or Actiware to gather additional information and rule out other potential causes.
Treatment options can include lifestyle modifications, medication, and in some cases, the use of CPAP machines or other sleep apnea devices.
Optimizing your RLS research with PubCompare.ai can help you identify the most effective protocols and products for your needs.
This AI-driven tool allows you to easily locate and compare RLS-related protocols from literature, preprints, and patents, streamlining your research and advancing your understanding of this complex condition.