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

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 Detraining Effect on Pulmonary and Cardiovascular Autonomic Function and Functional Outcomes in Patients With Parkinson's Disease After Respiratory Muscle Training: An 18-Month Follow-Up Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Chih-Cheng Huang ◽  
Yun-Ru Lai ◽  
Fu-An Wu ◽  
Nai-Ying Kuo ◽  
Ben-Chung Cheng ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Pulmonary Function ◽  
Functional Outcomes ◽  
Respiratory Muscle ◽  
Autonomic Function ◽  
Clinical Severity ◽  
Respiratory Muscle Training ◽  
Muscle Training ◽  
Cardiovascular Autonomic Function

Background: The effect of 3-month respiratory muscle training (RMT) on pulmonary and autonomic function and functional outcomes has been demonstrated in patients with Parkinson's disease (PD); however, there is a paucity of information on the durability of the training effect. In this study, we monitored the pulmonary and cardiovascular autonomic function and clinical severity scales until 18 months after the cessation of RMT to elucidate the detraining effect after RMT.Methods: All patients with PD receiving RMT were assessed with clinical severity scales as well as pulmonary and autonomic function tests at four different stages (baseline on enrollment, immediately after 3 months of RMT, and 6 and 18 months after cessation of RMT). A control group of PD patients who did not receive RMT was also recruited for comparison. Pulmonary function parameters, including forced vital capacity (FVC), forced expiratory volume in one second (FEV1), maximum inspiratory pressure (MIP), and maximum expiratory pressure (MEP), were assessed. Cardiovascular autonomic function was assessed using measures including heart rate response to deep breathing (HRDB), Valsalva ratio, and baroreflex sensitivity. Clinical severity scores were also measured using the Hoehn and Yahr staging and the Unified Parkinson's Disease Rating Scale (UPDRS).Results: The results showed significant improvements in MIP, MEP, HRDB, and UPDRS immediately after RMT. Despite some decay, the improvements in pulmonary function (MIP and MEP) and functional outcomes (UPDRS) remained significant until 6 months of detraining (9 months after enrollment). However, the improvement in cardiovascular autonomic function (HRDB) was reversed after 6 months of detraining.Conclusions: Based on these findings, we recommend that RMT may be repeated after at least 6 months after previous session (9 months after enrollment) for patients with PD to maintain optimal therapeutic effects.

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.

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