2021
DOI: 10.1007/s10072-021-05700-6
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Falls risk is predictive of dysphagia in Parkinson’s disease

Abstract: Objective Evaluate the relationship between falls, freezing of gait, and swallowing disturbance in Parkinson’s disease (PD). Background Dysphagia is a common symptom in PD, and is often thought of as an axial feature along with falls and gait disturbance. It is of interest to examine the relationship between these symptoms in PD, given the possibility of shared pathophysiology due to non-dopaminergic and extranigral dysfunction. … Show more

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Cited by 3 publications
(3 citation statements)
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“…the FOGQ compared with patients without oropharyngeal freezing and swallowing in PD patients can be impaired by oropharyngeal freezing, while one prospective study disagreed. 24 In the present study, patients with FOG in both the training and the validation cohorts had higher HAMA and HAMD scores than those without FOG. This is consistent with the findings of previous studies.…”
Section: Ta B L E 1 (Continued)supporting
confidence: 47%
See 1 more Smart Citation
“…the FOGQ compared with patients without oropharyngeal freezing and swallowing in PD patients can be impaired by oropharyngeal freezing, while one prospective study disagreed. 24 In the present study, patients with FOG in both the training and the validation cohorts had higher HAMA and HAMD scores than those without FOG. This is consistent with the findings of previous studies.…”
Section: Ta B L E 1 (Continued)supporting
confidence: 47%
“…Our study also found that higher dysfunction of swallow and turn over are the risk factors for FOG in two cohorts. One study 23 agreed that PD patients with signs for oropharyngeal freezing scored significantly higher in the FOGQ compared with patients without oropharyngeal freezing and swallowing in PD patients can be impaired by oropharyngeal freezing, while one prospective study disagreed 24 …”
Section: Discussionmentioning
confidence: 99%
“…In the literature, different cueing strategies such as, continuous stimulation devices during movement 22 or activated only when needed, through autonomous real-time sensing algorithms to start stimulation [23][24][25][26] have shown to be efficacy. Moreover, devices have shown to predict disease course by rest tremor (RT) monitoring thanks to the study of upper limbs movements 27 , identify problems related to food intake 28 , detect problems through handwriting and digitography analysis 29,30 . Other studies [31][32][33][34][35] have focused on the definition of high-tech miniaturized and portable devices made of fabrics and materials that conform to the body.…”
Section: Introductionmentioning
confidence: 99%