scholarly journals Polysomnographic correlates of sleep disturbances in de novo, drug naïve Parkinson’s Disease

2021 ◽  
Author(s):  
Beatrice Orso ◽  
Francesco Famà ◽  
Laura Giorgetti ◽  
Pietro Mattioli ◽  
Andrea Donniaquio ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sleep Disturbances ◽  
De Novo ◽  
Sleep Onset ◽  
Inverse Correlation ◽  
Motor Symptoms ◽  
Periodic Leg Movements ◽  
Drug Naïve ◽  
Non Motor Symptoms

Abstract Background Sleep disturbances are common non-motor symptoms of Parkinson’s Disease (PD). Methods The aim of this study was to investigate the polysomnographic correlates of sleep changes, as investigated by the Parkinson’s Disease Sleep Scale-2 (PDSS-2), in a cohort of sixty-two consecutive de novo, drug naïve PD patients (71.40 ± 7.84 y/o). Results PDSS-2 total score showed a direct correlation with stage shifts (p = 0.008). Fragmented sleep showed an inverse correlation with sleep efficiency (p = 0.012). Insomnia symptoms showed an inverse correlation with wake after sleep onset (p = 0.005) and direct correlation with periodic leg movements (p = 0.006) and stage shift indices (p = 0.003). Motor Symptoms showed a direct correlation with Apnoea-Hypopnoea (AHI; p = 0.02) and awakenings indices (p = 0.003). Dream distressing showed a direct correlation with REM without atonia (RWA, p = 0.042) and an inverse correlation with AHI (p = 0.012). Sleep quality showed an inverse correlation with RWA (p = 0.008). Conclusion PDSS-2 features are significantly correlated with polysomnography objective findings, thus further supporting its reliability to investigate sleep disturbances in PD patients.

Constipation is Associated with Development of Cognitive Impairment in de novo Parkinson’s Disease: A Longitudinal Analysis of Two International Cohorts

2021 ◽  
pp. 1-11
Author(s):  
Valentina Leta ◽  
Daniele Urso ◽  
Lucia Batzu ◽  
Daniel Weintraub ◽  
Nataliya Titova ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
De Novo ◽  
Motor Dysfunction ◽  
Group Differences ◽  
Motor Symptoms ◽  
Kaplan Meier ◽  
Patients At Risk ◽  
Non Motor Symptoms

Background: Constipation is regarded as one of the prodromal features of Parkinson’s disease (PD) and there is emerging evidence linking gastrointestinal dysfunction and cognitive impairment (CI) in PD. Objective: We explored whether constipation is associated with development of CI in two independent cohorts of de novo PD patients (n = 196 from the Non-motor International Longitudinal Study [NILS] and n = 423 from the Parkinson’s Progression Markers Initiative [PPMI] study). Methods: Constipation was clinically defined using the Non-Motor Symptoms Scale (NMSS) item-21 [NILS] and Scales for Outcomes in PD-Autonomic (SCOPA-AUT) item-5 [PPMI]. We assessed baseline group differences (PD with or without constipation) in CI, global non-motor symptoms burden, motor dysfunction, and striatal dopaminergic denervation. Kaplan-Meier method estimated group differences in cumulative proportion of patients with incident CI over three years. In PPMI, we subsequently performed univariate and multivariate Cox survival analyses to evaluate whether constipation predicts incident mild cognitive impairment or dementia over a 6-year period, including constipation and other known predictors of CI as covariates. Results: Patients with constipation had greater motor and global non-motor burden in both cohorts at baseline (p <  0.05). Kaplan-Meier plots showed faster conversion to CI in patients with constipation in both cohorts (p <  0.05). In PPMI, 37 subjects developed dementia during a mean follow-up of 4.9 years, and constipation was an independent predictor of dementia onset (hazard ratio = 2.311; p = 0.02). Conclusion: Constipation in de novo PD patients is associated with development of cognitive decline and may serve as a clinical biomarker for identification of patients at risk for cognitive impairment.

scholarly journals Consistency and Stability of Motor Subtype Classifications in Patients With de novo Parkinson’s Disease

2021 ◽  
Vol 15 ◽  
Author(s):  
Jingru Ren ◽  
Chenxi Pan ◽  
Yuqian Li ◽  
Lanting Li ◽  
Ping Hua ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
De Novo ◽  
Classification Systems ◽  
Motor Symptoms ◽  
Chi Squared ◽  
Baseline Evaluation ◽  
The Stability ◽  
First Time ◽  
Non Motor Symptoms

ObjectivePatients with Parkinson’s disease (PD) are commonly classified into subtypes based on motor symptoms. The aims of the present study were to determine the consistency between PD motor subtypes, to assess the stability of PD motor subtypes over time, and to explore the variables influencing PD motor subtype stability.MethodsThis study was part of a longitudinal study of de novo PD patients at a single center. Based on three different motor subtype classification systems proposed by Jankovic, Schiess, and Kang, patients were respectively categorized as tremor-dominant/indeterminate/postural instability and gait difficulty (TD/indeterminate/PIGD), TDS/mixedS/akinetic-rigidS (ARS), or TDK/mixedK/ARK at baseline evaluation and then re-assessed 1 month later. Demographic and clinical characteristics were recorded at each evaluation. The consistency between subtypes at baseline evaluation was assessed using Cohen’s kappa coefficient (κ). Additional variables were compared between PD subtype groups using the two-sample t-test, Mann–Whitney U-test or Chi-squared test.ResultsOf 283 newly diagnosed, untreated PD patients, 79 were followed up at 1 month. There was fair agreement between the Jankovic, Schiess, and Kang classification systems (κS = 0.383 ± 0.044, κK = 0.360 ± 0.042, κSK = 0.368 ± 0.038). Among the three classification systems, the Schiess classification was the most stable and the Jankovic classification was the most unstable. The non-motor symptoms questionnaire (NMSQuest) scores differed significantly between PD patients with stable and unstable subtypes based on the Jankovic classification (p = 0.008), and patients with a consistent subtype had more severe NMSQuest scores than patients with an inconsistent subtype.ConclusionFair consistency was observed between the Jankovic, Schiess, and Kang classification systems. For the first time, non-motor symptoms (NMSs) scores were found to influence the stability of the TD/indeterminate/PIGD classification. Our findings support combining NMSs with motor symptoms to increase the effectiveness of PD subtypes.

scholarly journals Baseline prevalence and longitudinal evolution of non-motor symptoms in early Parkinson’s disease: the PPMI cohort

2017 ◽  
Vol 89 (1) ◽  
pp. 78-88 ◽  
Author(s):  
Tanya Simuni ◽  
Chelsea Caspell-Garcia ◽  
Christopher S Coffey ◽  
Daniel Weintraub ◽  
Brit Mollenhauer ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rating Scale ◽  
De Novo ◽  
Controlled Study ◽  
Motor Symptoms ◽  
Biological Variables ◽  
Significant Difference ◽  
Non Motor Symptoms ◽  
Updrs Part

ObjectiveTo examine the baseline prevalence and longitudinal evolution in non-motor symptoms (NMS) in a prospective cohort of, at baseline, patients with de novo Parkinson’s disease (PD) compared with healthy controls (HC).MethodsParkinson’s Progression Markers Initiative (PPMI) is a longitudinal, ongoing, controlled study of de novo PD participants and HC. NMS were rated using the Movement Disorder Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) Part I score and other validated NMS scales at baseline and after 2 years. Biological variables included cerebrospinal fluid (CSF) markers and dopamine transporter imaging.Results423 PD subjects and 196 HC were enrolled and followed for 2 years. MDS-UPDRS Part I total mean (SD) scores increased from baseline 5.6 (4.1) to 7.7 (5.0) at year 2 in PD subjects (p<0.001) versus from 2.9 (3.0) to 3.2 (3.0) in HC (p=0.38), with a significant difference between the groups (p<0.001). In the multivariate analysis, higher baseline NMS score was associated with female sex (p=0.008), higher baseline MDS-UPDRS Part II scores (p<0.001) and more severe motor phenotype (p=0.007). Longitudinal increase in NMS severity was associated with the older age (0.008) and lower CSF Aβ1–42 (0.005) at baseline. There was no association with the dose or class of dopaminergic therapy.ConclusionsThis study of NMS in early PD identified clinical and biological variables associated with both baseline burden and predictors of progression. The association of a greater longitudinal increase in NMS with lower baseline Aβ1–42 level is an important finding that will have to be replicated in other cohorts.Trial registrationClinicalTrials.gov identifier: NCT01141023.

Non motor symptoms impact quality of life (QOL) in de novo Parkinson's disease (PD)

2016 ◽  
Vol 22 ◽  
pp. e37-e38
Author(s):  
Chizuko Toyoda ◽  
Tadashi Umehara ◽  
Hiromasa Matsuno ◽  
Hisayoshi Oka
Keyword(s):  
Quality Of Life ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
De Novo ◽  
Motor Symptoms ◽  
Non Motor Symptoms

scholarly journals A clinical-anatomical signature of Parkinson’s Disease identified with partial least squares and magnetic resonance imaging

2017 ◽  
Author(s):  
Yashar Zeighami ◽  
Seyed-Mohammad Fereshtehnejad ◽  
Mahsa Dadar ◽  
D. Louis Collins ◽  
Ronald B. Postuma ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Least Squares ◽  
Partial Least Squares ◽  
Large Scale ◽  
De Novo ◽  
Neurodegenerative Disorder ◽  
Clinical Manifestations ◽  
Motor Symptoms ◽  
Non Motor Symptoms

AbstractParkinson’s disease (PD) is a neurodegenerative disorder characterized by a wide array of motor and non-motor symptoms. It remains unclear whether neurodegeneration in discrete loci gives rise to discrete symptoms, or whether network-wide atrophy gives rise to the unique behavioural and clinical profile associated with PD. Here we apply a data-driven strategy to isolate large-scale, multivariate associations between distributed atrophy patterns and clinical phenotypes in PD. In a sample of N = 229 de novo PD patients, we estimate disease-related atrophy using deformation based morphometry (DBM) of T1 weighted MR images. Using partial least squares (PLS), we identify a network of subcortical and cortical regions whose collective atrophy is associated with a clinical phenotype encompassing motor and non-motor features. Despite the relatively early stage of the disease in the sample, the atrophy pattern encompassed lower brainstem, substantia nigra, basal ganglia and cortical areas, consistent with the Braak hypothesis. In addition, individual variation in this putative atrophy network predicted longitudinal clinical progression in both motor and non-motor symptoms. Altogether, these results demonstrate a pleiotropic mapping between neurodegeneration and the clinical manifestations of PD, and that this mapping can be detected even in de novo patients.

scholarly journals Hyposmia as a marker of (non-)motor disease severity in Parkinson’s disease

2019 ◽  
Vol 126 (11) ◽  
pp. 1471-1478 ◽  
Author(s):  
Dareia S. Roos ◽  
Jos W. R. Twisk ◽  
Pieter G. H. M. Raijmakers ◽  
Richard L. Doty ◽  
Henk W. Berendse
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sleep Disturbances ◽  
Psychiatric Symptoms ◽  
Cell Loss ◽  
Motor Symptoms ◽  
Dopaminergic Cell ◽  
Dat Spect ◽  
Spect Scan ◽  
Non Motor Symptoms

Abstract The aim of this study was to evaluate the relationship of hyposmia in Parkinson’s disease (PD) with other motor and non-motor symptoms and with the degree of nigrostriatal dopaminergic cell loss. A total of 295 patients with a diagnosis of PD were included. Olfactory function was measured using the University of Pennsylvania Smell Identification Test (UPSIT). Motor symptoms were rated using the Unified Parkinson’s Disease Rating Scale motor subscale (UPDRS III). To evaluate other non-motor symptoms, we used the Mini-Mental State Examination (MMSE) as a measure of global cognitive function and validated questionnaires to assess sleep disturbances, psychiatric symptoms, and autonomic dysfunction. A linear regression model was used to calculate correlation coefficients between UPSIT score and motor and non-motor variables [for psychiatric symptoms a Poisson regression was performed]. In a subgroup of patients (n = 155) with a dopamine transporter (DaT) SPECT scan, a similar statistical analysis was performed, now including striatal DaT binding. In the regression models with correction for age, sex, disease duration, and multiple testing, all motor and non-motor symptoms were associated with UPSIT scores. In the subgroup of patients with a DaT-SPECT scan, there was a strong association between olfactory test scores and DaT binding in both putamen and caudate nucleus. Hyposmia in PD is associated with various motor and non-motor symptoms, like cognition, depression, anxiety, autonomic dysfunction and sleep disturbances, and with the degree of nigrostriatal dopaminergic cell loss. This finding adds further confirmation that hyposmia holds significant promise as a marker of disease progression.

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

2014 ◽  
Vol 20 (12) ◽  
pp. 1419-1422 ◽  
Author(s):  
Hui-Jun Yang ◽  
Young Eun Kim ◽  
Ji Young Yun ◽  
Gwanhee Ehm ◽  
Han-Joon Kim ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
De Novo ◽  
Motor Symptoms ◽  
Non Motor Symptoms

scholarly journals Prevalence of non-motor symptoms in Parkinson’s disease

2019 ◽  
Vol 7 (5) ◽  
pp. 1459
Author(s):  
Shakthi C. ◽  
Sritharan B. ◽  
Muthuveeran M. ◽  
Manivannan M. R. ◽  
Justin C. ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sleep Disturbances ◽  
Motor Symptom ◽  
Motor Symptoms ◽  
Nocturnal Sleep ◽  
Males And Females ◽  
Non Motor Symptoms

Background: Parkinson’s disease is a common neurodegenerative movement disorder characterised by motor symptoms of rest tremor, bradykinesia, rigidity and postural instability and non-motor symptoms (NMS) which include neuropsychiatric symptoms, sleep disturbances, autonomic symptoms, sensory symptoms and symptoms of mixed aetiology. Parkinson’s Disease Non Motor Group (PD-NMG) devised a comprehensive clinic-based self-completed NMS questionnaire that allows easy identification of NMS by the physician. Most NMS have a poor response to dopaminergic therapy as it is due to dysfunction of the serotonergic and noradrenergic pathways. Treatment of these nonmotor symptoms help in improving the quality of life in patients with Parkinson’s disease.Methods: There were 100 patients with Parkinson’s disease who had presented to our neuromedicine movement clinic were included in the study. Patients were diagnosed as PD based on UK Parkinson’s disease brain bank criteria. The inclusion criteria were diagnosis as PD, age >18 yrs, inclusion of both males and females and consent for the study. Patients with atypical parkinsonism and secondary parkinsonism, stroke, intake of antipsychotics were excluded from the study. Non motor symptom questionnaire was given to the study group and frequency of occurrence of each non motor symptoms and their predominance in both males and females were studied. The frequency of each NMS was calculated by computing the number of yes response and calculating the percentage related to the number of patients in the sample. Analysis was done to calculate the frequency of all NMS among the enrolled patient.Results: Nocturnal sleep disturbances (43%) were most common followed by constipation (29%).The most common non motor symptoms in males were constipation (20%), urinary urgency (18%) and nocturia (11%).The most common non motor symptoms in females were nocturnal sleep disturbance (25%), feeling sad (19%), unexplained pains (17%) and being anxious (13%).Conclusions: Non motor symptom questionnaire helps in screening patients with Parkinson’s disease of non-motor symptoms and aims at providing holistic treatment improving the quality of life.

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