Literature DB >> 15716523

Heterogeneity of Parkinson's disease in the early clinical stages using a data driven approach.

S J G Lewis1, T Foltynie, A D Blackwell, T W Robbins, A M Owen, R A Barker.   

Abstract

OBJECTIVE: To investigate the heterogeneity of idiopathic Parkinson's disease (PD) in a data driven manner among a cohort of patients in the early clinical stages of the disease meeting established diagnostic criteria.
METHODS: Data on demographic, motor, mood, and cognitive measures were collected from 120 consecutive patients in the early stages of PD (Hoehn and Yahr I-III) attending a specialist PD research clinic. Statistical cluster analysis of the data allowed the existence of the patient subgroups generated to be explored.
RESULTS: The analysis revealed four main subgroups: (a) patients with a younger disease onset; (b) a tremor dominant subgroup of patients; (c) a non-tremor dominant subgroup with significant levels of cognitive impairment and mild depression; and (d) a subgroup with rapid disease progression but no cognitive impairment.
CONCLUSIONS: This study complements and extends previous research by using a data driven approach to define the clinical heterogeneity of early PD. The approach adopted in this study for the identification of subgroups of patients within Parkinson's disease has important implications for generating testable hypotheses on defining the heterogeneity of this common condition and its aetiopathological basis and thus its treatment.

Entities:  

Mesh:

Year:  2005        PMID: 15716523      PMCID: PMC1739569          DOI: 10.1136/jnnp.2003.033530

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  61 in total

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Journal:  Nat Med       Date:  2003-03-31       Impact factor: 53.440

6.  Cognitive impairments in early Parkinson's disease are accompanied by reductions in activity in frontostriatal neural circuitry.

Authors:  Simon J G Lewis; Anja Dove; Trevor W Robbins; Roger A Barker; Adrian M Owen
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  149 in total

1.  Retinal nerve changes in patients with tremor dominant and akinetic rigid Parkinson's disease.

Authors:  Mohammad Rohani; Arash Sefidkar Langroodi; Shadi Ghourchian; Khalil Ghasemi Falavarjani; Reza SoUdi; Gholamali Shahidi
Journal:  Neurol Sci       Date:  2012-06-03       Impact factor: 3.307

Review 2.  Parkinson's disease dementia.

Authors:  Mary J Docherty; David J Burn
Journal:  Curr Neurol Neurosci Rep       Date:  2010-07       Impact factor: 5.081

Review 3.  Sharpening the boundaries of Parkinson-associated dementia: recommendation for a neuropsychological diagnostic procedure.

Authors:  Marc R Bothe; Ingo Uttner; Markus Otto
Journal:  J Neural Transm (Vienna)       Date:  2010-01-30       Impact factor: 3.575

4.  Modifiable cardiovascular risk factors and axial motor impairments in Parkinson disease.

Authors:  Vikas Kotagal; Roger L Albin; Martijn L T M Müller; Robert A Koeppe; Kirk A Frey; Nicolaas I Bohnen
Journal:  Neurology       Date:  2014-03-28       Impact factor: 9.910

5.  Structural connectivity differences in motor network between tremor-dominant and nontremor Parkinson's disease.

Authors:  Gaetano Barbagallo; Maria Eugenia Caligiuri; Gennarina Arabia; Andrea Cherubini; Angela Lupo; Rita Nisticò; Maria Salsone; Fabiana Novellino; Maurizio Morelli; Giuseppe Lucio Cascini; Domenico Galea; Aldo Quattrone
Journal:  Hum Brain Mapp       Date:  2017-06-20       Impact factor: 5.038

6.  The association between motor subtypes and alexithymia in de novo Parkinson's disease.

Authors:  Michele Poletti; Daniela Frosini; Cristina Pagni; Claudio Lucetti; Paolo Del Dotto; Gloria Tognoni; Roberto Ceravolo; Ubaldo Bonuccelli
Journal:  J Neurol       Date:  2010-12-25       Impact factor: 4.849

7.  Heterogeneity of Parkinson's disease.

Authors:  A Schrag; N P Quinn; Y Ben-Shlomo
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-02       Impact factor: 10.154

8.  Predictors of falls and fractures in bradykinetic rigid syndromes: a retrospective study.

Authors:  D R Williams; H C Watt; A J Lees
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-04       Impact factor: 10.154

9.  A data mining methodology for predicting early stage Parkinson's disease using non-invasive, high-dimensional gait sensor data.

Authors:  Conrad Tucker; Yixiang Han; Harriet Black Nembhard; Mechelle Lewis; Wang-Chien Lee; Nicholas W Sterling; Xuemei Huang
Journal:  IIE Trans Healthc Syst Eng       Date:  2015-11-20

10.  Interval timing and Parkinson's disease: heterogeneity in temporal performance.

Authors:  Hugo Merchant; Monica Luciana; Catalina Hooper; Stacy Majestic; Paul Tuite
Journal:  Exp Brain Res       Date:  2007-09-09       Impact factor: 1.972

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