Objectives: Mutations in glucocerebrosidase () can change the clinical phenotype of Parkinson's disease (PD). This study aimed to explore the clinical characteristics of freezing of gait (FOG) in PD patients with mutations.
Methods: A whole-exome sequencing analysis was used to identify the mutations (pathogenic or likely pathogenic) and exclude other PD-related gene mutations. A forward binary logistic regression model was conducted to identify the associated factors of FOG. The stepwise multiple linear regression analysis models were used to explore the effect of FOG on quality of life.
Results: The prevalence of FOG in patients with mutations (30/95, 31.6%) was significantly higher than those in patients without mutations (152/760, 20%) ( = 0.009). A higher (i.e., worse) Unified PD Rating Scale part III score (OR = 1.126, 95%CI = 1.061-1.194, < 0.001) and a lower (i.e., worse) Montreal Cognitive Assessment score (OR = 0.830, 95%CI = 0.713-0.967, = 0.017) were significantly associated with FOG in PD patients with mutations. The presence of FOG was significantly associated with the decreased (i.e., worse) score of PD Questionnaire 39 after adjustment for sex, age, disease duration, motor score, and non-motor score (B = 14.981, = 0.001).
Conclusion: FOG is a relatively common disabling symptom in PD patients with mutations, which is affected by motor disability and cognitive decline. Quality of life is reduced in patients with FOG and mutations.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10713814 | PMC |
http://dx.doi.org/10.3389/fnins.2023.1288631 | DOI Listing |
Parkinsonism Relat Disord
January 2025
Chulalongkorn Centre of Excellence for Parkinson's Disease & Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, 10330, Thailand; The Academy of Science, The Royal Society of Thailand, Bangkok, 10330, Thailand. Electronic address:
Introduction: Detecting Freezing of Gait (FOG) poses challenges, with the subjective 6-item FOG Questionnaire relying solely on patient perception. We aim to create a holistic FOG Detection Toolkit combining subjective and objective elements (descriptions, images, and videos) to improve FOG detection precision.
Methods: Development of the FOG Detection Toolkit involved a detailed cover sheet on FOG and its triggers, along with video exemplars and a 4-item FOG-specific self-assessment questionnaire, all rigorously validated.
Sensors (Basel)
December 2024
Department of Neurology, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.
Freezing of gait (FOG) is a debilitating symptom of Parkinson disease (PD). It is episodic and variable in nature, making assessment difficult. Wearable sensors used in conjunction with specialized algorithms, such as our group's pFOG algorithm, provide objective data to better understand this phenomenon.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Department of Neurology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Objectives: Freezing of Gait (FOG) is one of the disabling symptoms in patients with Parkinson's Disease (PD). While it is difficult to early detect because of the sporadic occurrence of initial freezing events. Whether the characteristic of gait impairments in PD patients with FOG during the 'interictal' period is different from that in non-FOG patients is still unclear.
View Article and Find Full Text PDFNeurorehabil Neural Repair
January 2025
Institute for Health and Sport (IHeS), Victoria University, Melbourne, VIC, Australia.
Non-invasive brain stimulation (NIBS) is sometimes used alongside medication to alleviate motor symptoms in people with Parkinson's disease (PD). However, the evidence supporting NIBS's effectiveness for improving motor function in PD patients is uncertain. .
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
Freezing of gait (FOG) is a walking disturbance that can lead to postural instability, falling, and decreased mobility in people with Parkinson's disease. This research used machine learning to predict and detect FOG episodes from plantar-pressure data and compared the performance of decision tree ensemble classifiers when trained on three different datasets. Dataset 1 ( = 11) was collected in a previous study.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!