Clinical predictors in Parkinson's disease

2002 ◽  
Vol 23 (0) ◽  
pp. s77-s78 ◽  
Author(s):  
E. Gasparoli ◽  
D. Delibori ◽  
G. Polesello ◽  
L. Santelli ◽  
M. Ermani ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Clinical Predictors

Predictors of Pharyngeal Dysphagia in Patients with Parkinson’s Disease

2020 ◽  
Vol 10 (4) ◽  
pp. 1727-1735
Author(s):  
Inga Claus ◽  
Paul Muhle ◽  
Judith Suttrup ◽  
Bendix Labeit ◽  
Sonja Suntrup-Krueger ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Logistic Regression ◽  
Rating Scale ◽  
Equivalent Dose ◽  
Binary Logistic Regression Analysis ◽  
Screening Methods ◽  
Clinical Predictors ◽  
Pharyngeal Dysphagia ◽  
Increased Risk

Background: Diagnosis of pharyngeal dysphagia in patients with Parkinson’s disease is often difficult as reliable screening methods are lacking so far and clinical examination fails to adequately assess the pharyngeal phase of swallowing. Objective: To identify clinical predictors indicating the presence of pharyngeal dysphagia in patients at risk. Methods: We examined pharyngeal dysphagia in a large cohort of patients with Parkinson’s disease (n = 200) divided in three clinical subtypes (tremor-dominant (TD), mainly bradykinetic (BK) and early postural instability and gait difficulty PIGD)) by using flexible endoscopic evaluation of swallowing. ANOVA-multivariance analysis and following t-tests as well as binary logistic regression analysis were performed to detect group differences and to identify clinical predictors for dysphagia. Results: Statistically significant differences were found in the dysphagic group: age, male gender, disease duration, stage of the disease, Levodopa equivalent dose and higher scores on the Unified Parkinson’s disease rating scale III and II, item 7. The PIGD subtype was affected more frequently than the TD and BK subtype. In a logistic regression model higher age (>63.5 years p < 0.05) and Levodopa equivalent dose (>475 mg, p < 0.01) were identified to be independent predictors for the presence of pharyngeal dysphagia. Conclusion: Particularly patients with an age > 63.5 years and a daily Levodopa equivalent dose >475 mg show an increased risk for pharyngeal dysphagia. These findings may partly be influenced by presbyphagia but are likely to represent disease progression. The PIGD subtype seems to be a risk factor due to more pronounced dyscoordination of oropharyngeal muscle movements.

scholarly journals Clinical predictors of frequent patient telephone calls in Parkinson’s disease

2011 ◽  
Vol 17 (2) ◽  
pp. 95-99 ◽  
Author(s):  
Anli A. Liu ◽  
Christine E. Boxhorn ◽  
Michael A. Klufas ◽  
Paul J. Christos ◽  
Jeffrey T. Thorne ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Clinical Predictors ◽  
Telephone Calls

scholarly journals Early Clinical Predictors of Treatment-Resistant and Functional Outcomes in Parkinson's Disease

2015 ◽  
Vol 3 (1) ◽  
pp. 53-58
Author(s):  
Roger Kurlan ◽  
Bernard Ravina ◽  
Shirley Eberly ◽  
Anthony E. Lang ◽  
Caroline M. Tanner ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Functional Outcomes ◽  
Treatment Resistant ◽  
Clinical Predictors

scholarly journals The Possible Clinical Predictors of Fatigue in Parkinson’s Disease: A Study of 135 Patients as Part of International Nonmotor Scale Validation Project

2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Vinod Metta ◽  
Kartik Logishetty ◽  
P. Martinez-Martin ◽  
Heather M. Gage ◽  
P. E. S. Schartau ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Scale Validation ◽  
Clinical Predictors ◽  
Nonmotor Symptom ◽  
Related Quality ◽  
Underlying Basis ◽  
Health Related ◽  
Disease Stages

Fatigue is a common yet poorly understood and underresearched nonmotor symptom in Parkinson’s disease. Although fatigue is recognized to significantly affect health-related quality of life, it remains underrecognised and empirically treated. In this paper, the prevalence of fatigue as measured by a validated visual analogue scale and the Parkinson’s disease nonmotor symptoms scale (PDNMSS) was correlated with other motor and nonmotor comorbidities. In a cohort of patients from a range of disease stages, occurrence of fatigue correlated closely with more advanced Parkinson’s disease, as well as with depression, anxiety, and sleep disorders, hinting at a common underlying basis.

scholarly journals Clinical Predictors of Excessive Daytime Sleepiness in Patients with Parkinson's Disease

2018 ◽  
Vol 14 (4) ◽  
pp. 530 ◽  
Author(s):  
Bruno Terra Junho ◽  
Arthur Kummer ◽  
Francisco Cardoso ◽  
Antonio Lucio Teixeira ◽  
Natalia Pessoa Rocha
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Clinical Predictors

Driving with Parkinson’s disease: Cut points for clinical predictors of on-road outcomes

2018 ◽  
Vol 85 (3) ◽  
pp. 232-241 ◽  
Author(s):  
Liliana Alvarez ◽  
Sherrilene Classen
Keyword(s):  
Parkinson’S Disease ◽  
At Risk ◽  
Parkinson's Disease ◽  
Contrast Sensitivity ◽  
Predictive Value ◽  
Neurodegenerative Disorder ◽  
Area Under The Curve ◽  
Clinical Predictors ◽  
Predictive Values ◽  
Cut Points

Background. Parkinson’s disease (PD) is a common neurodegenerative disorder that impacts a person’s fitness to drive. Practitioners require a sensitive and predictive battery of clinical tests to identify at-risk drivers. Purpose. This study aimed to identify clinical predictors and their optimal cut points, sensitivity, specificity, and predictive values of on-road outcomes in drivers with PD. Method. Participants ( N = 101) underwent a comprehensive driving evaluation. We identified predictors of pass/fail outcomes through logistic regression and computed optimal cut points through receiver operating characteristic curves and corresponding Youden indexes. Findings. The Trail Making Test Part B (Trails B; sensitivity = .89, specificity = .74; positive predictive value [PPV] = .71; negative predictive value [NPV] = .91) and contrast sensitivity (sensitivity = .82, specificity = .63; PPV = .61; NPV = .84) emerged as significant predictors. The optimal cut point for the Trails B was 108 s (area under the curve = .86). Implications. Occupational therapists can benefit from implementing Trails B and contrast sensitivity screening as part of in-office screening of potentially at-risk drivers with PD.

scholarly journals Demographic and Clinical Predictors of Trait Impulsivity in Parkinson’s Disease Patients

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Maddeson Riley ◽  
Megan Bakeberg ◽  
Michelle Byrnes ◽  
Alexa Jefferson ◽  
Soumya Ghosh ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Secondary Education ◽  
Postsecondary Education ◽  
Disease Severity ◽  
Linear Models ◽  
Male Gender ◽  
Clinical Predictors ◽  
Trait Impulsivity ◽  
History Of

Background. Impulsive behaviour has become increasingly recognised as a neuropsychiatric complication of Parkinson’s disease (PD). Thought to be a product of compromised cognitive control, the spectrum of impulsive behaviours in PD ranges from cognitive disinhibition to impulse control disorders (ICDs). Objective. At present, there are no indicators for trait impulsivity in PD. The objective of the current study was to identify demographic and clinical predictors of susceptibility to trait impulsivity in a cohort of PD patients. Methods. The current study assessed impulsivity using the Barratt Impulsiveness Scale 11 (BIS-11) in a cohort of 87 PD patients. General linear models (GLMs) were used to identify clinical and demographic variables predictive of heightened BIS-11 second-order attentional and nonplanning subscale scores. Results. Male gender, no history of smoking, postsecondary education, and heightened disease severity were predictive of increased BIS-11 attentional scores (p<0.05). Similarly, male gender, after secondary education, and disease severity were predictive of increased BIS-11 nonplanning scores (p<0.05). Contrary to previous reports, dopaminergic medication use was not a significant determinant of either BIS-11 subscale scores. Conclusions. Several demographic and clinical variables including male gender, no history of past smoking, after secondary education, and elevated disease severity are associated with impulsivity in PD.

Can arm swing be clinical predictors of postural instability in Parkinson's Disease?

2016 ◽  
Vol 22 ◽  
pp. e49-e50
Author(s):  
Wannipat Buated ◽  
Praween Lolekha ◽  
Shohei Hidaka ◽  
Neeraj Kashyap ◽  
Tsutomu Fujinami
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Postural Instability ◽  
Clinical Predictors ◽  
Arm Swing
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