FM2-2 Exploratory analysis whether wearable sensor data can correlate with aspects of non-motor symptoms in parkinson’s: a real life study with the parkinson’s kinetigraphTM

2019 ◽  
Vol 90 (3) ◽  
pp. e24.1-e24 ◽  
Author(s):  
S Hota ◽  
A Podlewska ◽  
A Rizos ◽  
DV Wamelen ◽  
K Chaudhuri
Keyword(s):  
Gastrointestinal Tract ◽  
Real Life ◽  
International Study ◽  
Sensor Data ◽  
Motor Symptoms ◽  
College Hospital ◽  
Cross Sectional ◽  
Gastrointestinal Problems ◽  
Motor Effects ◽  
Non Motor Symptoms

ObjectivesTo determine the association between the range and nature of non-motor symptoms (NMS) in people with Parkinson’s (PwP) and validated Parkinson’s KinetigraphTM (PKG) outcome measures.DesignCross-sectional retrospective study of participants enrolled in the Non-motor Longitudinal International Study (NILS, UKCRN No: 10084) at King’s College Hospital, London.Subjects108 PwP with a PKG recording within 4 months of a NILS assessment were included in the analysis.MethodsPKG is a validated accelerometery-based measure for motor function in PwP, reporting scores for global bradykinesia (BKS) and dyskinesia (DKS). NMS were assessed by the NMS scale (NMSS).ResultsUsing multiple linear regression, BKS was predicted by NMSS domains 6 (gastrointestinal tract; p=0.006) and 8 (sexual function; p=0.003). DKS was predicted by domains 3 (mood/cognition; p=0.016), domain 4 (perceptual problems; p=0.025), domain 6 (gastrointestinal tract; p=0.029) and domain 9 (miscellaneous, p=0.003). In these domains, anxiety, delusions, dysphagia, hyposmia, weight change and hyperhidrosis significantly predicted DKS. In addition, carbidopa dose predicted NMSS total scores (p=0.037), but not total LEDD (p=0.91).ConclusionsIn PwP, measures of BK and DK were mainly associated with gastrointestinal problems, underpinning the importance of gastric absorption of oral medications and constipation and the related motor effects in PwP. Interestingly, carbidopa appears to have a role in non-motor symptoms in PwP, which deserves further investigation.

scholarly journals Non-motor correlates of wrist-worn wearable sensor use in Parkinson’s disease: an exploratory analysis

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Daniel J. van Wamelen ◽  
Shweta Hota ◽  
Aleksandra Podlewska ◽  
Valentina Leta ◽  
Dhaval Trivedi ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Gastrointestinal Tract ◽  
Large Scale ◽  
Disease Duration ◽  
Wearable Sensors ◽  
International Study ◽  
Exploratory Analysis ◽  
College Hospital ◽  
Gastrointestinal Problems

Abstract Wearable sensors are becoming increasingly more available in Parkinson’s disease and are used to measure motor function. Whether non-motor symptoms (NMS) can also be measured with these wearable sensors remains unclear. We therefore performed a retrospective, exploratory, analysis of 108 patients with a diagnosis of idiopathic Parkinson’s disease enroled in the Non-motor Longitudinal International Study (UKCRN No. 10084) at King’s College Hospital, London, to determine the association between the range and nature of NMS and an accelerometer-based outcome measure of bradykinesia (BKS) and dyskinesia (DKS). NMS were assessed by the validated NMS Scale, and included, e.g., cognition, mood and sleep, and gastrointestinal, urinary and sexual problems. Multiple linear regression modelling was used to identify NMS associated with BKS and DKS. We found that BKS was associated with domains 6 (gastrointestinal tract; p = 0.006) and 8 (sexual function; p = 0.003) of the NMS scale. DKS was associated with domains 3 (mood/cognition; p = 0.016), 4 (perceptual problems; p = 0.025), 6 (gastrointestinal tract; p = 0.029) and 9 (miscellaneous, p = 0.003). In the separate domains, constipation was significantly associated with BKS. Delusions, dysphagia, hyposmia, weight change and hyperhidrosis were identified as significantly associated with DKS. None of the NMSS domains were associated with disease duration (p ≥ 0.08). In conclusion, measures of BKS and DKS were mainly associated with gastrointestinal problems, independent of disease duration, showing the potential for wearable devices to pick up on these symptoms. These exploratory results deserve further exploration, and more research on this topic in the form of comprehensive large-scale studies is needed.

FM2-3 Slave to the rhythm: seasonal differences in non-motor symptoms in parkinson’s

2019 ◽  
Vol 90 (3) ◽  
pp. e24.2-e24
Author(s):  
DV Wamelen ◽  
A Podlewska ◽  
V Leta ◽  
A Rizos ◽  
K Chaudhuri
Keyword(s):  
Multiple Testing ◽  
Motor Symptom ◽  
List Type ◽  
Motor Symptoms ◽  
Symptom Scale ◽  
College Hospital ◽  
Cross Sectional ◽  
Seasonal Differences ◽  
Significant Difference ◽  
Non Motor Symptoms

ObjectivesTo determine the effect of the change of season on non-motor symptoms in Parkinson’s disease (PD).DesignCross-sectional retrospective study.Subjects364 consecutive Parkinson’s patients in the London area taking part in the Non-motor Longitudinal International Study (NILS) study at King’s College Hospital London between November 2011 and April 2018.MethodsParticipants were divided into three groups based on their assessment date, using a simplified ecological seasonal model:November until February;March until 15 June;16 June until October.The primary outcome was a seasonal difference in non-motor symptom scale (NMSS) total scores and the secondary outcomes were NMSS subscores. Outcomes were adjusted for multiple testing using formal Bonferroni correction.Results102 patients were allocated to group 1, 105 patients to group 2 and 157 patients to group 3. Seasonal differences were present in NMSS total scores (p=0.042), especially between groups 1 and 3 (p=0.037). Differences were also present for NMSS domain 1 (cardiovascular and falls; p=0.004), 2 (sleep and fatigue; p=0.049), 4 (hallucinations; p=0.003) and 9 (miscellaneous; p=0.031). Within domain 9 there was only a significant difference for question 28 (smell; p=0.008).ConclusionsThese results indicate that non-motor symptoms in Parkinson’s fluctuate throughout the year with lowest scores in the summer months and highest in the winter months. These variations need to be taken into account to avoid inappropriate changes in medication regimes.

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.

scholarly journals Frequency of Non-motor Symptoms in Parkinson's Patients With Motor Fluctuations

2021 ◽  
Vol 12 ◽  
Author(s):  
Mariana Fernandes ◽  
Mariangela Pierantozzi ◽  
Alessandro Stefani ◽  
Carlo Cattaneo ◽  
Erminio A. Bonizzoni ◽  
...  
Keyword(s):  
Sleep Problems ◽  
Psychiatric Symptoms ◽  
Secondary Analysis ◽  
Real Life ◽  
Well Being ◽  
Motor Fluctuations ◽  
Motor Symptoms ◽  
High Prevalence ◽  
Non Motor Symptoms ◽  
Real Life Condition

Background: Non-motor symptoms (NMS), including neuropsychiatric, sleep, autonomic, and sensory domains, are an integral aspect of the clinical presentation of Parkinson disease (PD) and affect neurocognitive functioning as well as patients' and caregivers' well-being.Objective: To describe the occurrence of NMS in PD patients with motor fluctuations in real-life condition.Methods: The present study is a secondary analysis of a previous multinational, multicenter, retrospective-prospective cohort observational study (SYNAPSES). Patients with PD diagnosis and motor fluctuations aged ≥18 years were included. Data collected at the baseline visit were used for this study, and descriptive analyzes were conducted to describe the distribution of NMS in motor-fluctuating PD patients distributed according to different clinical characteristics.Results: Of the 1,610 patients enrolled, 1,589 were included for the analysis (978 males and 611 females), with a mean age of 68.4 (SD = 9.6). Most patients had at least one NMS (88.5%). Sleep problems and psychiatric symptoms were the most prevalent NMS in motor fluctuating PD patients in all H and Y stages. Psychiatric disorders were more frequent in older patients and in patients with a larger number of years of PD diagnosis, while sleep problems were more preeminent in younger patients and with inferior disease duration.Conclusions: The present findings further support the high prevalence of NMS in PD patients with motor fluctuations, thus reinforcing the need for assessing them for diagnostic accuracy and for delivering holistic care.

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.

Sleep Problems Are Related to a Worse Quality of Life and a Greater Non-Motor Symptoms Burden in Parkinson’s Disease

2020 ◽  
pp. 089198872096425
Author(s):  
Diego Santos-García ◽  
E. Suárez Castro ◽  
T. de Deus Fonticoba ◽  
M. J. Feal Panceiras ◽  
J. G. Muñoz Enriquez ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sleep Problems ◽  
Cross Sectional Study ◽  
Motor Symptoms ◽  
Levodopa Dose ◽  
Cross Sectional ◽  
Non Motor Symptoms

Introduction: The aim of the present study was to examine the frequency of self-reported sleep problems and their associated factors in a large cohort of PD patients. Methods: PD patients and controls, recruited from 35 centers of Spain from the COPPADIS cohort were included in this cross-sectional study. Sleep problems were assessed by the Spanish version of the Parkinson’s disease Sleep Scale version 1 (PDSS-1). An overall score below 82 or a score below 5 on at least 1 item was defined as sleep problems. Results: The frequency of sleep problems was nearly double in PD patients compared to controls: 65.8% (448/681) vs 33.5% (65/206) (p < 0.0001). Mean total PDSS score was lower in PD patients than controls: 114.9 ± 28.8 vs 132.8 ± 16.3 (p < 0.0001). Quality of life (QoL) was worse in PD patients with sleep problems compared to those without: PDQ-39SI, 19.3 ± 14 vs 13 ± 11.6 (p < 0.0001); EUROHIS-QoL8, 3.7 ± 0.5 vs 3.9 ± 0.5 (p < 0.0001). Non-motor symptoms burden (NMSS; OR = 1.029; 95%CI 1.015–1.043; p < 0.0001) and impulse control behaviors (QUIP-RS; OR = 1.054; 95%CI 1.009–1.101; p = 0.018) were associated with sleep problems after adjustment for age, gender, disease duration, daily equivalent levodopa dose, H&Y, UPDRS-III, UPDRS-IV, PD-CRS, BDI-II, NPI, VAS-Pain, VAFS, FOGQ, and total number of non-antiparkinsonian treatments. Conclusion: Sleep problems were frequent in PD patients and were related to both a worse QoL and a greater non-motor symptoms burden in PD. These findings call for increased awareness of sleep problems in PD patients.

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
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