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dc.contributor.authorMarini, Ken_US
dc.contributor.authorMahlknecht, Pen_US
dc.contributor.authorTutzer, Fen_US
dc.contributor.authorStockner, Hen_US
dc.contributor.authorGasperi, Aen_US
dc.contributor.authorDjamshidian, Aen_US
dc.contributor.authorWilleit, Pen_US
dc.contributor.authorKiechl, Sen_US
dc.contributor.authorWilleit, Jen_US
dc.contributor.authorRungger, Gen_US
dc.contributor.authorNoyce, AJen_US
dc.contributor.authorSchrag, Aen_US
dc.contributor.authorPoewe, Wen_US
dc.contributor.authorSeppi, Ken_US
dc.date.accessioned2020-06-22T15:15:20Z
dc.date.available2020-05-12en_US
dc.date.issued2020-06-03en_US
dc.identifier.othermds.28127
dc.identifier.othermds.28127en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/65120
dc.description.abstractBACKGROUND: Identifying individuals at risk of developing Parkinson's disease (PD) is critical to define target populations for future neuroprotective trials. OBJECTIVE: The objective of this study was to apply the PREDICT-PD algorithm of risk indicators for PD in a prospective community-based study (the Bruneck study), representative of the general elderly population. METHODS: PREDICT-PD risk scores were calculated based on risk factor assessments obtained at baseline (2005, n = 574 participants). Cases of incident PD were identified at 5-year and 10-year follow-ups. Participants with PD or secondary parkinsonism at baseline were excluded (n = 35). We analyzed the association of log-transformed risk scores with the presence of well-established markers as surrogates for PD risk at baseline and with incident PD at follow-up. RESULTS: A total of 20 participants with incident PD were identified during follow-up (11 after 5 years and 9 after 10 years). Baseline PREDICT-PD risk scores were associated with incident PD with odds ratios of 2.09 (95% confidence interval, 1.35-3.25; P = 0.001) after 5 years and of 1.95 (1.36-2.79; P < 0.001) after 10 years of follow-up per doubling of risk scores. In addition, higher PREDICT-PD scores were significantly correlated with established PD risk markers (olfactory dysfunction, signs of rapid eye movement sleep behavior disorder and motor deficits) and significantly associated with higher probability for prodromal PD according to the Movement Disorder Society research criteria at baseline. CONCLUSIONS: The PREDICT-PD score was associated with an increased risk for incident PD in our sample and may represent a useful first screening step in future algorithms aiming to identify cases of prodromal PD. © 2020 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.en_US
dc.languageengen_US
dc.language.isoenen_US
dc.relation.ispartofMov Disorden_US
dc.rightsCreative Commons Attribution License
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectepidemiologyen_US
dc.subjectpreclinicalen_US
dc.subjectprediagnosticen_US
dc.subjectprodromal Parkinson's diseaseen_US
dc.subjectrisk markersen_US
dc.titleApplication of a Simple Parkinson's Disease Risk Score in a Longitudinal Population-Based Cohort.en_US
dc.typeArticle
dc.rights.holder© 2020 The Authors.
dc.identifier.doi10.1002/mds.28127en_US
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/32491231en_US
pubs.notesNot knownen_US
pubs.publication-statusPublished onlineen_US
dcterms.dateAccepted2020-05-12en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
rioxxterms.funder.project483cf8e1-88a1-4b8b-aecb-8402672d45f8en_US


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