• MeSH
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• narkolepsie * farmakoterapie   MeSH
• stimulanty centrálního nervového systému terapeutické užití   farmakologie   MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• Publikační typ
• dopisy MeSH
• Názvy látek
• stimulanty centrálního nervového systému MeSH

OBJECTIVE: To apply a machine learning analysis to clinical and presynaptic dopaminergic imaging data of patients with rapid eye movement (REM) sleep behavior disorder (RBD) to predict the development of Parkinson disease (PD) and dementia with Lewy bodies (DLB). METHODS: In this multicenter study of the International RBD study group, 173 patients (mean age 70.5 ± 6.3 years, 70.5% males) with polysomnography-confirmed RBD who eventually phenoconverted to overt alpha-synucleinopathy (RBD due to synucleinopathy) were enrolled, and underwent baseline presynaptic dopaminergic imaging and clinical assessment, including motor, cognitive, olfaction, and constipation evaluation. For comparison, 232 RBD non-phenoconvertor patients (67.6 ± 7.1 years, 78.4% males) and 160 controls (68.2 ± 7.2 years, 53.1% males) were enrolled. Imaging and clinical features were analyzed by machine learning to determine predictors of phenoconversion. RESULTS: Machine learning analysis showed that clinical data alone poorly predicted phenoconversion. Presynaptic dopaminergic imaging significantly improved the prediction, especially in combination with clinical data, with 77% sensitivity and 85% specificity in differentiating RBD due to synucleinopathy from non phenoconverted RBD patients, and 85% sensitivity and 86% specificity in discriminating PD-converters from DLB-converters. Quantification of presynaptic dopaminergic imaging showed that an empirical z-score cutoff of -1.0 at the most affected hemisphere putamen characterized RBD due to synucleinopathy patients, while a cutoff of -1.0 at the most affected hemisphere putamen/caudate ratio characterized PD-converters. INTERPRETATION: Clinical data alone poorly predicted phenoconversion in RBD due to synucleinopathy patients. Conversely, presynaptic dopaminergic imaging allows a good prediction of forthcoming phenoconversion diagnosis. This finding may be used in designing future disease-modifying trials. ANN NEUROL 2024;95:1178-1192.

• MeSH
• demence s Lewyho tělísky * diagnostické zobrazování   MeSH
• dopamin * metabolismus   MeSH
• jednofotonová emisní výpočetní tomografie MeSH
• lidé středního věku MeSH
• lidé MeSH
• Parkinsonova nemoc * diagnostické zobrazování   komplikace   MeSH
• porucha chování v REM spánku * diagnostické zobrazování   MeSH
• presynaptická zakončení metabolismus   MeSH
• senioři MeSH
• strojové učení * MeSH
• synukleinopatie * diagnostické zobrazování   MeSH
• zobrazení dopaminergního systému MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• multicentrická studie MeSH

Narcolepsy type 1 (NT1) is caused by a loss of hypocretin/orexin transmission. Risk factors include pandemic 2009 H1N1 influenza A infection and immunization with Pandemrix®. Here, we dissect disease mechanisms and interactions with environmental triggers in a multi-ethnic sample of 6,073 cases and 84,856 controls. We fine-mapped GWAS signals within HLA (DQ0602, DQB1*03:01 and DPB1*04:02) and discovered seven novel associations (CD207, NAB1, IKZF4-ERBB3, CTSC, DENND1B, SIRPG, PRF1). Significant signals at TRA and DQB1*06:02 loci were found in 245 vaccination-related cases, who also shared polygenic risk. T cell receptor associations in NT1 modulated TRAJ*24, TRAJ*28 and TRBV*4-2 chain-usage. Partitioned heritability and immune cell enrichment analyses found genetic signals to be driven by dendritic and helper T cells. Lastly comorbidity analysis using data from FinnGen, suggests shared effects between NT1 and other autoimmune diseases. NT1 genetic variants shape autoimmunity and response to environmental triggers, including influenza A infection and immunization with Pandemrix®.

• MeSH
• autoimunita genetika   MeSH
• autoimunitní nemoci * epidemiologie   genetika   MeSH
• chřipka lidská * epidemiologie   genetika   MeSH
• lidé MeSH
• narkolepsie * chemicky indukované   genetika   MeSH
• vakcíny proti chřipce * škodlivé účinky   MeSH
• virus chřipky A, podtyp H1N1 * genetika   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Research Support, N.I.H., Extramural MeSH
• Názvy látek
• vakcíny proti chřipce * MeSH

• MeSH
• lidé MeSH
• polysomnografie MeSH
• porucha chování v REM spánku * komplikace   diagnóza   MeSH
• spánek REM MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• dopisy MeSH
• komentáře MeSH

Video-polysomnography (v-PSG) is essential for diagnosing rapid eye movement (REM) sleep behavior disorder (RBD). Although there are current American Academy of Sleep Medicine standards to diagnose RBD, several aspects need to be addressed to achieve harmonization across sleep centers. Prodromal RBD is a stage in which symptoms and signs of evolving RBD are present, but do not yet meet established diagnostic criteria for RBD. However, the boundary between prodromal and definite RBD is still unclear. As a common effort of the Neurophysiology Working Group of the International RBD Study Group, this manuscript addresses the need for comprehensive and unambiguous v-PSG recommendations to diagnose RBD and identify prodromal RBD. These include: (1) standardized v-PSG technical settings; (2) specific considerations for REM sleep scoring; (3) harmonized methods for scoring REM sleep without atonia; (4) consistent methods to analyze video and audio recorded during v-PSGs and to classify movements and vocalizations; (5) clear v-PSG guidelines to diagnose RBD and identify prodromal RBD. Each section follows a common template: The current recommendations and methods are presented, their limitations are outlined, and new recommendations are described. Finally, future directions are presented. These v-PSG recommendations are intended for both practicing clinicians and researchers. Classification and quantification of motor events, RBD episodes, and vocalizations are however intended for research purposes only. These v-PSG guidelines will allow collection of homogeneous data, providing objective v-PSG measures and making future harmonized multicentric studies and clinical trials possible.

• Klíčová slova
• IRBDSG, PSG, RWA, iRBD, iRWA, prodromal RBD,
• MeSH
• lidé MeSH
• pohyb MeSH
• polysomnografie MeSH
• porucha chování v REM spánku * diagnóza   MeSH
• prodromální symptomy MeSH
• spánek REM fyziologie   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

OBJECTIVE: This study was undertaken to follow up predictive factors for α-synuclein-related neurodegenerative diseases in a multicenter cohort of idiopathic/isolated rapid eye movement sleep behavior disorder (iRBD). METHODS: Patients with iRBD from 12 centers underwent a detailed assessment for potential environmental and lifestyle risk factors via a standardized questionnaire at baseline. Patients were then prospectively followed and received assessments for parkinsonism or dementia during follow-up. The cumulative incidence of parkinsonism or dementia was estimated with competing risk analysis. Cox regression analyses were used to evaluate the predictive value of environmental/lifestyle factors over a follow-up period of 11 years, adjusting for age, sex, and center. RESULTS: Of 319 patients who were free of parkinsonism or dementia, 281 provided follow-up information. After a mean follow-up of 5.8 years, 130 (46.3%) patients developed neurodegenerative disease. The overall phenoconversion rate was 24.2% after 3 years, 44.8% after 6 years, and 67.5% after 10 years. Patients with older age (adjusted hazard ratio [aHR] = 1.05) and nitrate derivative use (aHR = 2.18) were more likely to phenoconvert, whereas prior pesticide exposure (aHR = 0.21-0.64), rural living (aHR = 0.53), lipid-lowering medication use (aHR = 0.59), and respiratory medication use (aHR = 0.36) were associated with lower phenoconversion risk. Risk factors for those converting to primary dementia and parkinsonism were generally similar, with dementia-first converters having lower coffee intake and beta-blocker intake, and higher occurrence of family history of dementia. INTERPRETATION: Our findings elucidate the predictive values of environmental factors and comorbid conditions in identifying RBD patients at higher risk of phenoconversion. ANN NEUROL 2022;91:404-416.

• MeSH
• demence epidemiologie   etiologie   MeSH
• incidence MeSH
• lidé středního věku MeSH
• lidé MeSH
• následné studie MeSH
• neurodegenerativní nemoci epidemiologie   etiologie   MeSH
• porucha chování v REM spánku komplikace   MeSH
• progrese nemoci MeSH
• průzkumy a dotazníky MeSH
• rizikové faktory MeSH
• senioři MeSH
• životní styl MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

Patients with isolated rapid-eye-movement sleep behaviour disorder (RBD) are commonly regarded as being in the early stages of a progressive neurodegenerative disease involving α-synuclein pathology, such as Parkinson's disease, dementia with Lewy bodies, or multiple system atrophy. Abnormal α-synuclein deposition occurs early in the neurodegenerative process across the central and peripheral nervous systems and might precede the appearance of motor symptoms and cognitive decline by several decades. These findings provide the rationale to develop reliable biomarkers that can better predict conversion to clinically manifest α-synucleinopathies. In addition, biomarkers of disease progression will be essential to monitor treatment response once disease-modifying therapies become available, and biomarkers of disease subtype will be essential to enable prediction of which subtype of α-synucleinopathy patients with isolated RBD might develop.

• MeSH
• alfa-synuklein MeSH
• biologické markery * MeSH
• lidé MeSH
• porucha chování v REM spánku komplikace   diagnóza   MeSH
• prognóza MeSH
• progrese nemoci MeSH
• synukleinopatie diagnóza   etiologie   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• přehledy MeSH
• Research Support, N.I.H., Extramural MeSH
• Názvy látek
• alfa-synuklein MeSH
• biologické markery * MeSH

Idiopathic REM sleep behaviour disorder (iRBD) is a powerful early sign of Parkinson's disease, dementia with Lewy bodies, and multiple system atrophy. This provides an unprecedented opportunity to directly observe prodromal neurodegenerative states, and potentially intervene with neuroprotective therapy. For future neuroprotective trials, it is essential to accurately estimate phenoconversion rate and identify potential predictors of phenoconversion. This study assessed the neurodegenerative disease risk and predictors of neurodegeneration in a large multicentre cohort of iRBD. We combined prospective follow-up data from 24 centres of the International RBD Study Group. At baseline, patients with polysomnographically-confirmed iRBD without parkinsonism or dementia underwent sleep, motor, cognitive, autonomic and special sensory testing. Patients were then prospectively followed, during which risk of dementia and parkinsonsim were assessed. The risk of dementia and parkinsonism was estimated with Kaplan-Meier analysis. Predictors of phenoconversion were assessed with Cox proportional hazards analysis, adjusting for age, sex, and centre. Sample size estimates for disease-modifying trials were calculated using a time-to-event analysis. Overall, 1280 patients were recruited. The average age was 66.3 ± 8.4 and 82.5% were male. Average follow-up was 4.6 years (range = 1-19 years). The overall conversion rate from iRBD to an overt neurodegenerative syndrome was 6.3% per year, with 73.5% converting after 12-year follow-up. The rate of phenoconversion was significantly increased with abnormal quantitative motor testing [hazard ratio (HR) = 3.16], objective motor examination (HR = 3.03), olfactory deficit (HR = 2.62), mild cognitive impairment (HR = 1.91-2.37), erectile dysfunction (HR = 2.13), motor symptoms (HR = 2.11), an abnormal DAT scan (HR = 1.98), colour vision abnormalities (HR = 1.69), constipation (HR = 1.67), REM atonia loss (HR = 1.54), and age (HR = 1.54). There was no significant predictive value of sex, daytime somnolence, insomnia, restless legs syndrome, sleep apnoea, urinary dysfunction, orthostatic symptoms, depression, anxiety, or hyperechogenicity on substantia nigra ultrasound. Among predictive markers, only cognitive variables were different at baseline between those converting to primary dementia versus parkinsonism. Sample size estimates for definitive neuroprotective trials ranged from 142 to 366 patients per arm. This large multicentre study documents the high phenoconversion rate from iRBD to an overt neurodegenerative syndrome. Our findings provide estimates of the relative predictive value of prodromal markers, which can be used to stratify patients for neuroprotective trials.

• Klíčová slova
• Parkinson’s disease, REM sleep behaviour disorder, dementia with Lewy bodies, multiple system atrophy,
• MeSH
• demence s Lewyho tělísky patofyziologie   MeSH
• demence patofyziologie   MeSH
• Kaplanův-Meierův odhad MeSH
• kohortové studie MeSH
• lidé středního věku MeSH
• lidé MeSH
• Parkinsonova nemoc patofyziologie   MeSH
• parkinsonské poruchy diagnóza   MeSH
• polysomnografie MeSH
• porucha chování v REM spánku patofyziologie   MeSH
• předpověď metody   MeSH
• prodromální symptomy MeSH
• prognóza MeSH
• progrese nemoci MeSH
• proporcionální rizikové modely MeSH
• prospektivní studie MeSH
• rizikové faktory MeSH
• senioři MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• klinické zkoušky MeSH
• multicentrická studie MeSH
• práce podpořená grantem MeSH

Narcolepsy is a rare life-long disease that exists in two forms, narcolepsy type-1 (NT1) or type-2 (NT2), but only NT1 is accepted as clearly defined entity. Both types of narcolepsies belong to the group of central hypersomnias (CH), a spectrum of poorly defined diseases with excessive daytime sleepiness as a core feature. Due to the considerable overlap of symptoms and the rarity of the diseases, it is difficult to identify distinct phenotypes of CH. Machine learning (ML) can help to identify phenotypes as it learns to recognize clinical features invisible for humans. Here we apply ML to data from the huge European Narcolepsy Network (EU-NN) that contains hundreds of mixed features of narcolepsy making it difficult to analyze with classical statistics. Stochastic gradient boosting, a supervised learning model with built-in feature selection, results in high performances in testing set. While cataplexy features are recognized as the most influential predictors, machine find additional features, e.g. mean rapid-eye-movement sleep latency of multiple sleep latency test contributes to classify NT1 and NT2 as confirmed by classical statistical analysis. Our results suggest ML can identify features of CH on machine scale from complex databases, thus providing 'ideas' and promising candidates for future diagnostic classifications.

• MeSH
• biologické modely * MeSH
• databáze faktografické statistika a číselné údaje   MeSH
• datové soubory jako téma MeSH
• dospělí MeSH
• interpretace statistických dat MeSH
• lidé MeSH
• mladý dospělý MeSH
• narkolepsie klasifikace   diagnóza   patofyziologie   MeSH
• polysomnografie statistika a číselné údaje   MeSH
• řízené strojové učení * MeSH
• ROC křivka MeSH
• spánek REM fyziologie   MeSH
• spánková latence fyziologie   MeSH
• stochastické procesy MeSH
• vzácné nemoci klasifikace   diagnóza   patofyziologie   MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• mladý dospělý MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

OBJECTIVE: This controlled study investigated associations between comorbidity and medication in patients with polysomnographically confirmed idiopathic REM sleep behavior disorder (iRBD), using a large multicenter clinic-based cohort. METHODS: Data of a self-administered questionnaire on comorbidity and medication use of 318 patients with iRBD and 318 matched controls were analyzed. Comparisons between cases and controls were made using logistic regression analysis. RESULTS: Patients with iRBD were more likely to report depression (odds ratio [OR] 2.0, 95% confidence interval [CI] 1.3-2.9) and concomitant antidepressant use (OR 2.2, 95% CI 1.4-3.6). Subanalysis of antidepressant agents revealed that the increased use of antidepressants in iRBD was due to selective serotoninergic reuptake inhibitors (OR 3.6, 95% CI 1.8-7.0) and not due to other antidepressant classes. Patients with iRBD reported more lifetime antidepressant use than comorbid depression (antidepressant use: OR 1.9, 95% CI 1.1-3.3; depression: OR 1.6, 95% CI 1.0-2.5). Patients with iRBD reported more ischemic heart disease (OR 1.9, 95% CI 1.1-3.1). This association did not change substantially when adjusting for cardiovascular risk factors (OR 2.3, 95% CI 1.3-3.9). The use of inhaled glucocorticoids was higher in patients with iRBD compared to controls (OR 5.3, 95% CI 1.8-15.8), likely reflecting the higher smoking rate in iRBD (smoking: OR 15.3, 95% CI 2.0-118.8; nonsmoking: OR 2.4, 95% CI 0.4-13.2) and consequent pulmonary disease. CONCLUSIONS: This large study confirms the association between comorbid depression and antidepressant use in iRBD. In addition, there was an unexpected association of iRBD with ischemic heart disease that was not explained by cardiovascular risk factors.

• MeSH
• aplikace inhalační MeSH
• deprese farmakoterapie   epidemiologie   MeSH
• glukokortikoidy terapeutické užití   MeSH
• ischemická choroba srdeční epidemiologie   MeSH
• kohortové studie MeSH
• komorbidita MeSH
• kouření epidemiologie   MeSH
• lidé středního věku MeSH
• lidé MeSH
• porucha chování v REM spánku farmakoterapie   epidemiologie   MeSH
• průzkumy a dotazníky MeSH
• rizikové faktory MeSH
• selektivní inhibitory zpětného vychytávání serotoninu terapeutické užití   MeSH
• senioři MeSH
• studie případů a kontrol MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• multicentrická studie MeSH
• práce podpořená grantem MeSH
• Názvy látek
• glukokortikoidy MeSH
• selektivní inhibitory zpětného vychytávání serotoninu MeSH