The association of non-motor symptoms (NMSs) with fall-related factors in patients with Parkinson’s disease (PD) remains to be further elucidated in the early stages of the disease. Eighty-six patients with less than 5 years of the onset of PD were retrospectively enrolled in the study. We assessed potential fall-related risk factors including (1) a history of falls during the past year (faller versus non-faller), (2) the fear of falling (FoF), and (3) the freezing of gait (FoG). Different types of NMSs were measured using the Montreal Cognitive Assessment (MoCA), the Beck Depression Inventory (BDI), the Beck Anxiety Inventory (BAI), the Parkinson’s disease Fatigue Scale (PFS), and the Scales for Outcomes in Parkinson’s disease—Autonomic dysfunction (SCOPA-AUT). The faller group (37.2%) showed higher scores for BDI, BAI, PFS, and SCOPA-AUT, compared to the non-faller group. From logistic regression analyses, the prior history of falls was related to the gastrointestinal domain of SCOPA-AUT, FoF was associated with BAI, and gastrointestinal and urinary domains of SCOPA-AUT, and FoG was linked to BAI and gastrointestinal domain of SCOPA-AUT. In conclusion, we found that fall-related risk factors in patients with early PD were highly connected with gastrointestinal dysautonomia.
Clinical implications for motor phenotypes of Parkinson's disease (PD) remain to be further elucidated, particularly at the early stages of the disease. We aimed to compare the non-motor and fall-related features between tremor-dominant (TD) and postural instabilitygait difficulty (PIGD) subtypes in patients with early PD.Methods: PD was categorized into TD, intermediate and PIGD types, according to the literature. Not only motor symptoms, but also non-motor symptoms for global cognition, depression, anxiety, fatigue and dysautonomia, were measured in detail. In addition, fall-related features, including a previous history of falls, fear of fall measurement and gait freezing were assessed.Results: In patients with early PD (disease duration no more than 5 years), 35 patients with TD-type PD and 31 patients with PIGD-type PD were finally evaluated for the study. Compared with the TD group, the PIGD group showed higher fatigue, gastrointestinal dysfunction and fall-related parameter scores. Moreover, the PIGD scores were significantly correlated with all of those symptoms.Conclusions: Our findings suggest that PIGD is significantly linked to fatigue, gastrointestinal dysfunction and fall-related features during the early stages of PD.
Aim:The clinical features and implications of dizziness in patients with Parkinson's disease (PD) remain little known. This study aimed to investigate the clinical characteristics of dizziness, and the association of dizziness with motor and non-motor symptoms in early stages of PD.Methods: Demographics and clinical characteristics of patients with early PD (disease duration ≤5 years) were retrospectively assessed. The characteristics of dizziness were surveyed in each parkinsonian patient according to existence, frequency, duration and nature. Not only motor symptoms, but also non-motor scales for global cognition, anxiety, depression and fatigue were evaluated to identify risk factors of dizziness.Results: Of a total of 80 patients with early PD, 37 (46.3%) had dizziness. The characteristics of dizziness included short duration (seconds to minutes) and frequent occurrence (several times in a day or a week). The most common type of dizziness was orthostatic (40.5%), followed by non-specific and disequilibrium type. Among many scales for motor and nonmotor symptoms, dizzy patients with early PD showed lower scores of Montreal Cognitive representing global cognition than non-dizzy people. A lower Montreal Cognitive Assessment score was the only factor significantly related to dizziness in patients with early PD. Conclusions:We found that dizziness frequently occurs in early parkinsonian patients. It is highly linked to low Montreal Cognitive Assessment scores in patients with early PD, inferring that dizziness might be a potential non-motor symptom associated with cognitive decline in PD. Geriatr Gerontol Int 2020; 20: 443-447.
Background: Dopamine transporter (DAT) imaging may enable clinicians to discriminate idiopathic normal pressure hydrocephalus (iNPH) from other parkinsonian disorders. However, a specific pattern of dopaminergic loss in DAT imaging of iNPH patients remains to be further elucidated. Methods: In this preliminary study, 11 patients with iNPH in our hospital between March 2017 and February 2019 were finally enrolled. A diagnosis of iNPH was made according to the two established criteria. For visual analysis of DAT imaging, a striatum was divided into five domains. A semi-quantitative visual assessment was performed with a consensus between a nuclear medicine specialist and an experienced neurologist who were blinded to the clinical diagnosis. Results: Striatal dopaminergic deficits were abnormal in 90.9% (10/11) of patients with iNPH. The degree of dopaminergic reduction was mild and heterogeneous. However, a tendency of preferential striatal DAT loss in the caudate nucleus (90.9%, 10/11) than in the putamen (72.7%, 8/11) was observed, whereas ventral portion (9.1%, 1/11) was relatively preserved. Conclusion: Striatal dopaminergic depletion might be mild and heterogeneous in patients with iNPH. These dopaminergic deficits were more common in the caudate nucleus than in the putamen, suggesting a pattern different from other degenerative parkinsonian disorders.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.