Literature DB >> 24612314

Prodromal features for Parkinson's disease--baseline data from the TREND study.

A Gaenslen1, I Wurster, K Brockmann, H Huber, J Godau, B Faust, S Lerche, G W Eschweiler, W Maetzler, D Berg.   

Abstract

BACKGROUND AND
PURPOSE: A number of non-motor features are known to precede motor manifestations of Parkinson's disease (PD). They are supposed to already represent the prodromal neurodegenerative state in those who later develop PD and are thus called prodromal markers. In this study, three prodromal markers, depression, rapid eye movement behaviour disorder (RBD) and hyposmia, were selected and were related to other prodromal features in elderly individuals without PD.
METHODS: From the Tübinger Evaluation of Risk Factors for Early Detection of Neurodegeneration (TREND) study, 698 healthy individuals aged 50-80 years reporting one or more of the selected prodromal markers (SPMs), but without neurodegenerative disorders, were evaluated and classified according to the status of prodromal markers. Other prodromal PD-related features were assessed with a 23-item questionnaire and compared between participants with and without the three SPMs.
RESULTS: Individuals with the SPMs for PD endorsed more of the additional possible prodromal features of PD than those without; of 23 possible prodromal features, the median number identified amongst participants with no SPMs was two, compared with four with one marker, five with two and seven with three (P < 0.001). Regarding individual SPMs, participants with depression and RBD endorsed five of 23 markers, compared with three for those with hyposmia (P = 0.001). There was no significant increase in the number of prodromal features amongst those with two SPMs compared with those with only one marker.
CONCLUSIONS: Individuals with the SPMs for PD report a higher prevalence of other prodromal PD symptoms. This may indicate that these markers can identify individuals at risk for PD.
© 2014 The Author(s) European Journal of Neurology © 2014 EFNS.

Entities:  

Keywords:  Parkinson's disease; prodromal phase; risk markers

Mesh:

Year:  2014        PMID: 24612314     DOI: 10.1111/ene.12382

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  40 in total

1.  Cognition in individuals at risk for Parkinson's: Parkinson associated risk syndrome (PARS) study findings.

Authors:  Lama M Chahine; Daniel Weintraub; Keith A Hawkins; Andrew Siderowf; Shirley Eberly; David Oakes; John Seibyl; Matthew B Stern; Kenneth Marek; Danna Jennings
Journal:  Mov Disord       Date:  2015-08-21       Impact factor: 10.338

Review 2.  Neuropathobiology of non-motor symptoms in Parkinson disease.

Authors:  Kurt A Jellinger
Journal:  J Neural Transm (Vienna)       Date:  2015-05-15       Impact factor: 3.575

3.  Subjects at risk of Parkinson's disease in health checkup examinees: cross-sectional analysis of baseline data of the NaT-PROBE study.

Authors:  Makoto Hattori; Takashi Tsuboi; Katsunori Yokoi; Yasuhiro Tanaka; Maki Sato; Keisuke Suzuki; Yutaka Arahata; Akihiro Hori; Motoshi Kawashima; Akihiro Hirakawa; Yukihiko Washimi; Hirohisa Watanabe; Masahisa Katsuno
Journal:  J Neurol       Date:  2020-02-07       Impact factor: 4.849

Review 4.  [Helpful instrumental examinations in idiopathic Parkinson's disease].

Authors:  U Walter; H Zach; I Liepelt-Scarfone; W Maetzler
Journal:  Nervenarzt       Date:  2017-04       Impact factor: 1.214

Review 5.  Non-motor features of Parkinson disease.

Authors:  Anthony H V Schapira; K Ray Chaudhuri; Peter Jenner
Journal:  Nat Rev Neurosci       Date:  2017-06-08       Impact factor: 34.870

6.  Is increased spinal nociception another hallmark for Parkinson's disease?

Authors:  Evangelia Boura; Maria Stamelou; David Vadasz; Vincent Ries; Marcus M Unger; Georg Kägi; Wolfgang H Oertel; Jens C Möller; Veit Mylius
Journal:  J Neurol       Date:  2017-01-24       Impact factor: 4.849

Review 7.  Can Biomarkers Help the Early Diagnosis of Parkinson's Disease?

Authors:  Weidong Le; Jie Dong; Song Li; Amos D Korczyn
Journal:  Neurosci Bull       Date:  2017-09-02       Impact factor: 5.203

8.  Prediction of Parkinson's disease subsequent to severe depression: a ten-year follow-up study.

Authors:  Uwe Walter; Robert Heilmann; Lara Kaulitz; Tino Just; Bernd Joachim Krause; Reiner Benecke; Jacqueline Höppner
Journal:  J Neural Transm (Vienna)       Date:  2014-09-14       Impact factor: 3.575

9.  Olfaction and incident Parkinson disease in US white and black older adults.

Authors:  Honglei Chen; Srishti Shrestha; Xuemei Huang; Samay Jain; Xuguang Guo; Gregory J Tranah; Melissa E Garcia; Suzanne Satterfield; Caroline Phillips; Tamara B Harris
Journal:  Neurology       Date:  2017-09-06       Impact factor: 9.910

Review 10.  Merging Clinical and Imaging Biomarkers to Tackle Parkinson's Disease.

Authors:  Marina Picillo; Paolo Barone; Maria Teresa Pellecchia
Journal:  Mov Disord Clin Pract       Date:  2017-08-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.