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      Characteristics of behavioural addiction in Parkinson’s disease patients with self-reported impulse control disorder and controls matched for levodopa equivalent dose: a matched case–control study

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          Abstract

          Impulse control disorders (ICD) in Parkinson’s disease (PD) frequently occur, not always as a direct consequence of dopaminergic medication. This study investigated premorbid personality traits and behavioural characteristics in non-demented PD patients with self-reported symptoms of ICD (PD-srICD). From a total of 200 non-demented PD patients who filled out questionnaires assessing symptoms and severity of ICD, those were classified as PD-srICD ( n = 32) who reported current occurrence of at least one compulsive behaviour (gambling, sexual behaviour, buying behaviour, or eating). As a control group, 32 patients with no self-reported ICD symptoms were matched for levodopa equivalent daily dose. The demographic, clinical, and premorbid personality profiles were compared between both groups. Frequency of psychological characteristics indicating substance use disorder was evaluated in patients with PD-srICD. Patients with PD-srICD were more frequently male, younger at examination, had earlier PD onset, more depression, higher non-motor burden, less quality of life ( p < 0.05, respectively), and more frequently reported premorbid sensation seeking/novelty orientation ( p = 0.03) and joyful experience of stress ( p = 0.04) than patients in the control group. Of patients with PD-srICD, 90.6% reported at least one behavioural characteristic of substance use disorder, most frequently positive expectations following ICD behaviour and illusional beliefs about its behavioural control. Signs of addiction were common among patients with PD-srICD. Therefore, the profile of psychological characteristics in patients with PD-srICD resembled that of patients with substance use disorder. It can be concluded that dopamine replacement therapy (DRT) alone does not account for PD-srICD and that thorough psychological diagnostics are recommended.

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment.

            To develop a 10-minute cognitive screening tool (Montreal Cognitive Assessment, MoCA) to assist first-line physicians in detection of mild cognitive impairment (MCI), a clinical state that often progresses to dementia. Validation study. A community clinic and an academic center. Ninety-four patients meeting MCI clinical criteria supported by psychometric measures, 93 patients with mild Alzheimer's disease (AD) (Mini-Mental State Examination (MMSE) score > or =17), and 90 healthy elderly controls (NC). The MoCA and MMSE were administered to all participants, and sensitivity and specificity of both measures were assessed for detection of MCI and mild AD. Using a cutoff score 26, the MMSE had a sensitivity of 18% to detect MCI, whereas the MoCA detected 90% of MCI subjects. In the mild AD group, the MMSE had a sensitivity of 78%, whereas the MoCA detected 100%. Specificity was excellent for both MMSE and MoCA (100% and 87%, respectively). MCI as an entity is evolving and somewhat controversial. The MoCA is a brief cognitive screening tool with high sensitivity and specificity for detecting MCI as currently conceptualized in patients performing in the normal range on the MMSE.
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              Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results.

              We present a clinimetric assessment of the Movement Disorder Society (MDS)-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS). The MDS-UDPRS Task Force revised and expanded the UPDRS using recommendations from a published critique. The MDS-UPDRS has four parts, namely, I: Non-motor Experiences of Daily Living; II: Motor Experiences of Daily Living; III: Motor Examination; IV: Motor Complications. Twenty questions are completed by the patient/caregiver. Item-specific instructions and an appendix of complementary additional scales are provided. Movement disorder specialists and study coordinators administered the UPDRS (55 items) and MDS-UPDRS (65 items) to 877 English speaking (78% non-Latino Caucasian) patients with Parkinson's disease from 39 sites. We compared the two scales using correlative techniques and factor analysis. The MDS-UPDRS showed high internal consistency (Cronbach's alpha = 0.79-0.93 across parts) and correlated with the original UPDRS (rho = 0.96). MDS-UPDRS across-part correlations ranged from 0.22 to 0.66. Reliable factor structures for each part were obtained (comparative fit index > 0.90 for each part), which support the use of sum scores for each part in preference to a total score of all parts. The combined clinimetric results of this study support the validity of the MDS-UPDRS for rating PD.
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                Author and article information

                Contributors
                bernd.leplow@psych.uni-halle.de
                Journal
                J Neural Transm (Vienna)
                J Neural Transm (Vienna)
                Journal of Neural Transmission
                Springer Vienna (Vienna )
                0300-9564
                1435-1463
                20 January 2023
                20 January 2023
                2023
                : 130
                : 2
                : 125-133
                Affiliations
                [1 ]GRID grid.9018.0, ISNI 0000 0001 0679 2801, Department of Psychology, , Martin-Luther-University Halle-Wittenberg, ; Emil-Abderhalden-Str. 26-27, Halle, 06108 Germany
                [2 ]GRID grid.10392.39, ISNI 0000 0001 2190 1447, Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, , University of Tübingen, ; Tübingen, Germany
                [3 ]GRID grid.10392.39, ISNI 0000 0001 2190 1447, German Center for Neurodegenerative Diseases (DZNE), , University of Tübingen, ; Tübingen, Germany
                [4 ]GRID grid.9764.c, ISNI 0000 0001 2153 9986, Department of Neurology, , Christian-Albrechts-University, ; Kiel, Germany
                [5 ]IB Hochschule für Gesundheit und Soziales, Stuttgart, Germany
                Author information
                http://orcid.org/0000-0002-6976-4194
                Article
                2588
                10.1007/s00702-023-02588-8
                9902415
                36662280
                ead0e2ca-8ef8-4b0d-b7c2-ac39991ee131
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 26 September 2022
                : 4 January 2023
                Funding
                Funded by: Martin-Luther-Universität Halle-Wittenberg (1043)
                Categories
                Psychiatry and Preclinical Psychiatric Studies - Original Article
                Custom metadata
                © Springer-Verlag GmbH Austria, part of Springer Nature 2023

                parkinson’s disease,impulse control disorder,personality traits,premorbid personality traits,substance use disorder,behavioural addiction

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