Literature DB >> 25446342

Comparison of sleep and other non-motor symptoms between SWEDDs patients and de novo Parkinson's disease patients.

Hui-Jun Yang1, Young Eun Kim2, Ji Young Yun3, Gwanhee Ehm4, Han-Joon Kim4, Beom Seok Jeon5.   

Abstract

BACKGROUND: SWEDDs (Scans Without Evidence of Dopaminergic Deficits) was defined from a series of pharmaceutical trials on Parkinson's disease (PD). Non-motor features including sleep-related problems are common even in early-stage PD patients; however, little is known about the burden of the non-motor symptoms in SWEDDs patients.
METHODS: The Non-motor Symptoms Assessment Scale (NMSS), revised version of the Parkinson's Disease Sleep Scale (PDSS-2), Epworth Sleepiness Scale (ESS), and EuroQol 5-Dimension (EQ-5D) were applied to evaluate 17 SWEDDs patients and 28 de novo PD patients. The presence of clinically probable rapid eye movement sleep behavior disorder (cpRBD) was assessed using the International Classification of Sleep Disorders-Revised (ICSD-R) criteria.
RESULTS: The total NMSS score for the SWEDDs group was significantly lower than for the de novo PD group (p = 0.032). The most distinct difference was in taste or smell change (p < 0.000). Prevalence of cpRBD was higher in de novo PD patients than in SWEDDs patients (p = 0.030), though no significant differences in the PDSS-2 total score (p = 0.496) or the ESS score (p = 0.517) were found. The SWEDDs patients did not significantly differ from the de novo PD patients with regard to quality of life, as measured by the EQ-5D index score (p = 0.177).
CONCLUSIONS: The patients with SWEDDs have less non-motor problems than newly diagnosed untreated PD patients. Given the difficulty distinguishing between SWEDDs and early PD, identifying some of non-motor symptoms, such as RBD or olfactory impairment, could aid clinicians in their work.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Dopamine transporter imaging; Non-motor symptoms; Parkinson's disease; SWEDDs; Sleep

Mesh:

Substances:

Year:  2014        PMID: 25446342     DOI: 10.1016/j.parkreldis.2014.09.024

Source DB:  PubMed          Journal:  Parkinsonism Relat Disord        ISSN: 1353-8020            Impact factor:   4.891


  6 in total

1.  Computer-Aided Diagnosis of Parkinson's Disease Using Enhanced Probabilistic Neural Network.

Authors:  Thomas J Hirschauer; Hojjat Adeli; John A Buford
Journal:  J Med Syst       Date:  2015-09-29       Impact factor: 4.460

2.  Increased odds of bladder and bowel symptoms in early Parkinson's disease.

Authors:  Monica C Serra; Alexus Landry; Jorge L Juncos; Alayne D Markland; Kathryn L Burgio; Patricia S Goode; Theodore M Johnson; Camille P Vaughan
Journal:  Neurourol Urodyn       Date:  2017-11-02       Impact factor: 2.696

Review 3.  A systematic review of the literature on disorders of sleep and wakefulness in Parkinson's disease from 2005 to 2015.

Authors:  Lama M Chahine; Amy W Amara; Aleksandar Videnovic
Journal:  Sleep Med Rev       Date:  2016-08-31       Impact factor: 11.609

Review 4.  Unexpected (123I)FP-CIT SPECT findings: SWIDD, SWEDD and all DAT.

Authors:  Balestrino Roberta; Barone Paolo; Filippi Massimo; Erro Roberto
Journal:  J Neurol       Date:  2021-09-18       Impact factor: 6.682

5.  Olfactory Testing in Parkinson Disease and REM Behavior Disorder: A Machine Learning Approach.

Authors:  Christine Lo; Siddharth Arora; Yoav Ben-Shlomo; Thomas R Barber; Michael Lawton; Johannes C Klein; Sofia Kanavou; Annette Janzen; Elisabeth Sittig; Wolfgang H Oertel; Donald G Grosset; Michele T Hu
Journal:  Neurology       Date:  2021-02-24       Impact factor: 9.910

6.  Patients with scans without evidence of dopaminergic deficit (SWEDD) do not have early Parkinson's disease: Analysis of the PPMI data.

Authors:  Jeong Won Lee; Yoo Sung Song; Hyeyun Kim; Bon D Ku; Won Woo Lee
Journal:  PLoS One       Date:  2021-02-10       Impact factor: 3.240

  6 in total

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