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      Risk and predictors of dementia and parkinsonism in idiopathic REM sleep behaviour disorder: a multicentre study

      research-article
      1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 ,   15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 2 , 14 , 4 , 5 , 6 , 7 , 8 , 9 , 12 , 13 , 15 , 16 , 18 , 20 , 22 , 23 , 24 , 28 , 3 , 10 , 15 , 29 , 30 , 4 , 4 , 5 , 5 , 6 , 6 , 7 , 31 , 32 , 1 , 1 , 2
      Brain
      Oxford University Press
      REM sleep behaviour disorder, Parkinson’s disease, dementia with Lewy bodies, multiple system atrophy

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          See Morris and Weil (doi: [Related article:]10.1093/brain/awz014) for a scientific commentary on this article.

          In a prospective multicentre study involving 1280 patients with idiopathic RBD, Postuma et al. show that approximately 6% of patients each year (>73.5% over 12 years) convert to full neurodegenerative disease. They test the predictive power of 21 prodromal markers of neurodegeneration, providing a template for planning neuroprotective trials.

          Abstract

          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.

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          Most cited references27

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          Development and validation of a geriatric depression screening scale: a preliminary report.

          A new Geriatric Depression Scale (GDS) designed specifically for rating depression in the elderly was tested for reliability and validity and compared with the Hamilton Rating Scale for Depression (HRS-D) and the Zung Self-Rating Depression Scale (SDS). In constructing the GDS a 100-item questionnaire was administered to normal and severely depressed subjects. The 30 questions most highly correlated with the total scores were then selected and readministered to new groups of elderly subjects. These subjects were classified as normal, mildly depressed or severely depressed on the basis of Research Diagnostic Criteria (RDC) for depression. The GDS, HRS-D and SDS were all found to be internally consistent measures, and each of the scales was correlated with the subject's number of RDC symptoms. However, the GDS and the HRS-D were significantly better correlated with RDC symptoms than was the SDS. The authors suggest that the GDS represents a reliable and valid self-rating depression screening scale for elderly populations.
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            Epidemiology of constipation in North America: a systematic review.

            The aim of this study was to systematically review the published literature regarding prevalence, risk factors, incidence, natural history, and the effect on quality of life of constipation in North America. A computer-assisted search of MEDLINE, EMBASE, and Current Contents databases was performed independently by two investigators. Study selection criteria included the following: (1) North American population-based sample of adults with constipation; (2) publication in full manuscript form in English; and (3) report on the prevalence, incidence, and natural history of constipation or impact of constipation on quality of life. Eligible articles were reviewed in a duplicate, independent manner. Data extracted were compiled in tables and presented in descriptive form. The estimates of the prevalence of constipation in North America ranged from 1.9% to 27.2%, with most estimates from 12% to 19%. Prevalence estimates by gender support a female-to-male ratio of 2.2:1. Constipation appears to increase with increasing age, particularly after age 65. No true population-based incidence studies or natural history studies were identified. In one cohort, 89% of patients with constipation still reported constipation at 14.7 months follow-up. From limited data, quality of life appears to be diminished by constipation, but the clinical significance of this is unclear. Constipation is very common, as approximately 63 million people in North America meet the Rome II criteria for constipation. Minimal data are available regarding incidence, natural history, and quality of life in patients with constipation. Effort should be expended toward the study of these topics, particularly in the elderly, who are disproportionately affected by this condition.
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              Development and validation of the Unified Multiple System Atrophy Rating Scale (UMSARS).

              We aimed to develop and validate a novel rating scale for multiple system atrophy (Unified Multiple System Atrophy Rating Scale-UMSARS). The scale comprises the following components: Part I, historical, 12 items; Part II, motor examination, 14 items; Part III, autonomic examination; and Part IV, global disability scale. For validation purposes, 40 MSA patients were assessed in four centers by 4 raters per center (2 senior and 2 junior raters). The raters applied the UMSARS, as well as a range of other scales, including the Unified Parkinson's Disease Rating Scale (UPDRS) and the International Cooperative Ataxia Rating Scale (ICARS). Internal consistency was high for both UMSARS-I (Crohnbach's alpha = 0.84) and UMSARS-II (Crohnbach's alpha = 0.90) sections. The interrater reliability of most of the UMSARS-I and -II items as well as of total UMSARS-I and -II subscores was substantial (k(w) = 0.6-0.8) to excellent (k(w) > 0.8). UMSARS-II correlated well with UPDRS-III and ICARS (rs > 0.8). Depending on the degree of the patient's disability, completion of the entire UMSARS took 30 to 45 minutes. Based on our findings, the UMSARS appears to be a multidimensional, reliable, and valid scale for semiquantitative clinical assessments of MSA patients. 2004 Movement Disorder Society.
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                Author and article information

                Journal
                Brain
                Brain
                brainj
                Brain
                Oxford University Press
                0006-8950
                1460-2156
                March 2019
                20 February 2019
                20 February 2019
                : 142
                : 3
                : 744-759
                Affiliations
                [1 ]Department of Neurology, McGill University, Montreal General Hospital, Montreal, Canada
                [2 ]Centre d’Études Avancées en Médecine du Sommeil, Hôpital du Sacré-Cœur de Montréal, Montréal, Canada
                [3 ]Neurology Service, Hospital Clinic de Barcelona, IDIBAPS, CIBERNED, Barcelona, Spain
                [4 ]Oxford Parkinson’s Disease Centre (OPDC) and Oxford University, Oxford, UK
                [5 ]Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
                [6 ]Mayo Clinic, Rochester, MN, USA
                [7 ]Unit of Sleep Medicine and Epilepsy, IRCCS, C.Mondino Foundation, Pavia, Italy
                [8 ]Department of Neurology, Philipps-Universität, Marburg, Germany
                [9 ]Sleep disorders unit, Pitie-Salpetriere Hospital, IHU@ICM and Sorbonne University, Paris, France
                [10 ]Sleep Disorders Center, Department of Neurology, Scientific Institute Ospedale San Raffaele, Vita-Salute University, Milan, Italy
                [11 ]Sleep Center, Department of Cardiovascular and Neurological Sciences, University of Cagliari, Italy
                [12 ]Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
                [13 ]IRCCS Institute of the Neurological Sciences, Ospedale Bellaria, ASL di Bologna, Bologna, Italy
                [14 ]Sleep and Neurology Unit, Beau Soleil Clinic, Montpellier, France; EuroMov, University of Montpellier, Montpellier, France
                [15 ]Clinical Neurology, Dept. of Neuroscience (DINOGMI), University of Genoa, and Polyclinic San Martino Hospital, Genoa, Italy
                [16 ]Department of Neurosurgery (C.T.) University Medical Center, Göttingen; Paracelsus-Elena-Klinik (B.M., C.T. F. S-D.), Kassel, Germany
                [17 ]Movement Disorders Unit and Division of Sleep Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, USA
                [18 ]Department of Neurology and Centre of Clinical Neurosciences of the First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
                [19 ]Neuroscience Research Institute, Seoul National University College of Medicine, Department of Neurology, Seoul National University Hospital, Seoul, Korea
                [20 ]Institute of Physiology Charité-Universitätsmedizin Berlin. Germany
                [21 ]Sleep Unit, Department of Neurology, Hôpital Gui de Chauliac, Montpellier, INSERM U1061, Montpellier, F-34093 Cedex 5 France
                [22 ]Department of Biomedical and Neuromotor Sciences, Bellaria Hospital, University of Bologna, Bologna, Italy
                [23 ]IRCCS Institute of Neurological Sciences of Bologna, Bellaria Hospital, Bologna, Italy
                [24 ]Brain and Mind Centre University of Sydney, Camperdown, Australia
                [25 ]National Institute of Mental Health, Klecany, Third Faculty of Medicine, Charles Unviersity, Prague, Czech Republic
                [26 ]Department of Neurology, Brigham and Women’s Hospital, Boston; Harvard Medical School, Boston, USA
                [27 ]Institute for Sleep Medicine and Neuromuscular Disorders, University Hospital Muenster, Muenster, Germany
                [28 ]Department of Psychology, Université du Québec à Montréal, Montreal, Quebec, Canada
                [29 ]Department of Human Genetics, McGill University, Montreal, Canada
                [30 ]Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada
                [31 ]Department of Neurology, Hephata Klinik, Schwalmstadt-Treysa, Germany
                [32 ]Nuclear Medicine, Department of Health Sciences (DISSAL), University of Genoa and Polyclinic San Martino Hospital, Genoa, Italy
                Author notes
                Correspondence to: Ronald Postuma Montreal General Hospital - McGill University 1650 Cedar Avenue Montreal Quebec H3G 1A4 Canada E-mail: ron.postuma@ 123456mcgill.ca
                Article
                awz030
                10.1093/brain/awz030
                6391615
                30789229
                04e88ce0-423e-4495-93d0-14f7934130e3
                © The Author(s) (2019). Published by Oxford University Press on behalf of the Guarantors of Brain.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 13 June 2018
                : 6 November 2018
                : 9 November 2018
                Page count
                Pages: 16
                Funding
                Funded by: Canadian Institute of Health Research
                Award ID: #286641
                Funded by: Weston Foundation
                Award ID: #N/A
                Funded by: Fonds de la Recherche en Sante Quebec
                Award ID: #28915
                Categories
                Original Articles

                Neurosciences
                rem sleep behaviour disorder,parkinson’s disease,dementia with lewy bodies,multiple system atrophy

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