P1.171 Evolving non-motor symptoms in Parkinson disease patients. A cross-sectional study

2009 ◽  
Vol 15 ◽  
pp. S73
Author(s):  
L. Vela ◽  
M.D. Martin Rios ◽  
M. Baron ◽  
F.J. Barriga ◽  
J.L. Dobato ◽  
...  
Keyword(s):  
Parkinson Disease ◽  
Cross Sectional Study ◽  
Motor Symptoms ◽  
Sectional Study ◽  
Cross Sectional ◽  
Non Motor Symptoms

scholarly journals Excessive Daytime Sleepiness Is Associated With Non-motor Symptoms of Multiple System Atrophy: A Cross-Sectional Study in China

2022 ◽  
Vol 12 ◽  
Author(s):  
Hui Wang ◽  
Xiangdong Tang ◽  
Junying Zhou ◽  
Yanming Xu
Keyword(s):  
Risk Factors ◽  
Multiple System Atrophy ◽  
Excessive Daytime Sleepiness ◽  
Disease Duration ◽  
Cross Sectional Study ◽  
Motor Dysfunction ◽  
Motor Symptoms ◽  
Sectional Study ◽  
Cross Sectional ◽  
Non Motor Symptoms

Objectives: Excessive daytime sleepiness (EDS) in multiple system atrophy (MSA) has received scant attention in the literature, thus the present cross-sectional study aimed to investigate the prevalence of EDS and its potential risk factors among Chinese patients with MSA.Methods: A total of 66 patients with MSA (60.6% males) were consecutively recruited. Eighteen patients (27.3%, 13 men) with Epworth Sleepiness Scale score >10 were defined as having EDS. Demographic, motor [Unified Multiple-System Atrophy (UMSARS)] and non-motor symptoms [Non-Motor Symptoms Scale (NMSS)], and sleep parameters [polysomnography (PSG)] were compared between patients with MSA with and without EDS. A logistic regression analysis was used to calculate the risk factors of EDS in patients with MSA.Results: There were no significant differences in age, sex, MSA onset age, disease duration, MSA sub-type, and motor symptom severity between MSA patients with and without EDS. However, compared with the MSA patients without EDS, their counterparts with EDS had higher scores of NMSS (65.3 ± 23.1 vs. 43.4 ± 25.3, P = .0002), Hamilton Anxiety (HAMA) [15.3 (10.3–20.0) vs. 9.5 (3.0–15.0), P = 0.006], Hamilton Depression (HAMD) [13.7 (12.5–17.8) vs. 9.0 (4.0–13.0), P = 0.015], and Fatigue Severity Scale (FSS) [29.8 (17.3–47.8) vs. 18.7 (10.3–21.8), P = 0.040]. Conversely, the patients with EDS had lower score of Mini-Mental State Examination (MMSE) [23.3 (20.3–27.0) vs. 25.7 (22.0–29.0), P = 0.023]. Similarly, there was a significantly lower percentage of N3 sleep (%) [0.3 (0–0) vs. 2.0 (0–0), P = 0.007] and a higher apnea-hypopnea index (AHI/h) [30.5 (14.5–47.8) vs. 19.3 (5.0–28.7), P = 0.034] in patients with EDS. After adjusting for age, sex, disease duration, MSA sub-type, and UMSARS score, the odds ratio (OR) (95% CI) of EDS was higher while increasing scores in FSS [1.06 (1.02–1.11)], HAMA [1.16 (1.04–1.28)], HAMD [1.13 (1.02–1.25)], NMSS [1.04 (1.01–1.07)], and AHI [1.03 (1.00–1.10)]. The OR of EDS was lower while the MMSE score was increasing [0.85 (0.72–1.00)].Conclusions: The presence and severity of EDS may be significantly associated with the non-motor dysfunction, including fatigue, anxiety, depression, cognitive dysfunction, and sleep-related breathing disorder, but not with the motor dysfunction in MSA.

Association among type D personality, non-motor symptoms, and quality of life in Parkinson's disease: A cross-sectional study

2017 ◽  
Vol 38 (5) ◽  
pp. 431-436 ◽  
Author(s):  
Sung Reul Kim ◽  
Ji Young Kim ◽  
Hyun Kyung Kim ◽  
Kyeung Eun Lim ◽  
Mi Sun Kim ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Parkinson’S Disease ◽  
Cross Sectional Study ◽  
Type D Personality ◽  
Motor Symptoms ◽  
Sectional Study ◽  
Cross Sectional ◽  
Type D ◽  
Non Motor Symptoms

scholarly journals Parkinson Disease: The Relationship Between Non-motor Symptoms and Motor Phenotype

2015 ◽  
Vol 43 (2) ◽  
pp. 261-267 ◽  
Author(s):  
Fang Ba ◽  
Mona Obaid ◽  
Marguerite Wieler ◽  
Richard Camicioli ◽  
W.R. Wayne Martin
Keyword(s):  
Parkinson Disease ◽  
Rating Scales ◽  
Advanced Disease ◽  
Axial Component ◽  
Motor Symptoms ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
The Relationship ◽  
Non Motor Symptoms ◽  
Motor Phenotype

AbstractBackground: Parkinson disease (PD) presents with motor and non-motor symptoms (NMS). The NMS often precede the onset of motor symptoms, but may progress throughout the disease course. Tremor dominant, postural instability gait difficulty (PIGD), and indeterminate phenotypes can be distinguished using Unified PD Rating scales (UPDRS-III). We hypothesized that the PIGD phenotype would be more likely to develop NMS, and that the non-dopamine–responsive axial signs would correlate with NMS severity. Methods: We conducted a retrospective cross-sectional chart review to assess the relationship between NMS and PD motor phenotypes. PD patients were administered the NMS Questionnaire, the UPDRS-III, and the Mini-Mental State Examination score. The relationship between NMS burden and PD subtypes was examined using linear regression models. The prevalence of each NMS among difference PD motor subtypes was analyzed using chi-square test. Results: PD patients with more advanced disease based on their UPDRS-III had higher NMS Questionnaire scores. The axial component of UPDRS-III correlated with higher NMS. There was no correlation between NMS and tremor scores. There was a significant correlation between PIGD score and higher NMS burden. PIGD group had higher prevalence in most NMS domains when compared with tremor dominant and indeterminate groups independent of disease duration and severity. Conclusions: NMS profile and severity vary according to motor phenotype. We conclude that in the PD population, patients with a PIGD phenotype who have more axial involvement, associated with advanced disease and poor motor response, have a higher risk for a higher NMS burden.

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