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1.
JMIR Res Protoc ; 13: e55452, 2024 May 07.
Article in English | MEDLINE | ID: mdl-38713508

ABSTRACT

BACKGROUND: Physical capacity and physical activity are important aspects of physical functioning and quality of life in people with a chronic disease such as Parkinson disease (PD) or chronic obstructive pulmonary disease (COPD). Both physical capacity and physical activity are currently measured in the clinic using standardized questionnaires and tests, such as the 6-minute walk test (6MWT) and the Timed Up and Go test (TUG). However, relying only on in-clinic tests is suboptimal since they offer limited information on how a person functions in daily life and how functioning fluctuates throughout the day. Wearable sensor technology may offer a solution that enables us to better understand true physical functioning in daily life. OBJECTIVE: We aim to study whether device-assisted versions of 6MWT and TUG, such that the tests can be performed independently at home using a smartwatch, is a valid and reliable way to measure the performance compared to a supervised, in-clinic test. METHODS: This is a decentralized, prospective, observational study including 100 people with PD and 100 with COPD. The inclusion criteria are broad: age ≥18 years, able to walk independently, and no co-occurrence of PD and COPD. Participants are followed for 15 weeks with 4 in-clinic visits, once every 5 weeks. Outcomes include several walking tests, cognitive tests, and disease-specific questionnaires accompanied by data collection using wearable devices (the Verily Study Watch and Modus StepWatch). Additionally, during the last 10 weeks of this study, participants will follow an aerobic exercise training program aiming to increase physical capacity, creating the opportunity to study the responsiveness of the remote 6MWT. RESULTS: In total, 89 people with PD and 65 people with COPD were included in this study. Data analysis will start in April 2024. CONCLUSIONS: The results of this study will provide information on the measurement properties of the device-assisted 6MWT and TUG in the clinic and at home. When reliable and valid, this can contribute to a better understanding of a person's physical capacity in real life, which makes it possible to personalize treatment options. TRIAL REGISTRATION: ClinicalTrials.gov NCT05756075; https://clinicaltrials.gov/study/NCT05756075. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/55452.


Subject(s)
Parkinson Disease , Pulmonary Disease, Chronic Obstructive , Wearable Electronic Devices , Humans , Pulmonary Disease, Chronic Obstructive/physiopathology , Pulmonary Disease, Chronic Obstructive/diagnosis , Pulmonary Disease, Chronic Obstructive/psychology , Parkinson Disease/physiopathology , Parkinson Disease/diagnosis , Prospective Studies , Male , Aged , Female , Walk Test/methods , Middle Aged , Observational Studies as Topic , Physical Functional Performance , Quality of Life
2.
J Parkinsons Dis ; 14(3): 601-607, 2024.
Article in English | MEDLINE | ID: mdl-38517803

ABSTRACT

Gait disorders are a disabling feature of Parkinson's disease (PD). To avoid falls, people with PD should be able to adequately adapt their gait. This requires correct response inhibition and integration of visual information. In this small pilot study, we investigated PD-related impairments in gait adaptability and the influence of ocular disorders thereon. Compared with controls, persons with PD were less able to adapt their gait in unexpected situations (U = 21.5, p = 0.013), with only a small influence of ocular disorders on precision stepping (U = 6, p = 0.012 in the ML-direction and in the AP-direction, (U = 20, p = 0.456). This shows that people with PD have more difficulty with precision stepping than healthy controls and experience more problems with adapting their gait. We found only a small impact of ocular disorders on successfully execute precision stepping. The ability to adapt gait, particularly in challenging environmental conditions or with impaired vision, may provide a useful assessment and training option for fall prevention in PD.


Subject(s)
Gait Disorders, Neurologic , Parkinson Disease , Walking , Humans , Parkinson Disease/complications , Parkinson Disease/physiopathology , Aged , Male , Female , Pilot Projects , Gait Disorders, Neurologic/etiology , Gait Disorders, Neurologic/physiopathology , Gait Disorders, Neurologic/rehabilitation , Middle Aged , Walking/physiology , Adaptation, Physiological/physiology , Gait/physiology , Accidental Falls/prevention & control
3.
Parkinsonism Relat Disord ; 120: 106003, 2024 Mar.
Article in English | MEDLINE | ID: mdl-38219529

ABSTRACT

INTRODUCTION: Evaluation of bradykinesia is based on five motor tasks from the MDS-UPDRS. Visually scoring these motor tasks is subjective, resulting in significant interrater variability. Recent observations suggest that it may be easier to hear the characteristic features of bradykinesia, such as the decrement in sound intensity or force of repetitive movements. The objective is to evaluate whether audio signals derived during four MDS-UPDRS tasks can be used to detect and grade bradykinesia, using two machine learning models. METHODS: 54 patients with Parkinson's disease and 28 healthy controls were filmed while executing the bradykinesia motor tasks. Several features were extracted from the audio signal, including number of taps, speed, sound intensity, decrement and freezes. For each motor task, two supervised machine learning models were trained, Logistic Regression (LR) and Support Vector Machine (SVM). RESULTS: Both classifiers were able to separate patients from controls reasonably well for the leg agility task, area under the receiver operating characteristic curve (AUC): 0.92 (95%CI: 0.78-0.99) for LR and 0.93 (0.81-1.00) for SVM. Also, models were able to differentiate less severe bradykinesia from severe bradykinesia, particularly for the pronation-supination motor task, with AUC: 0.90 (0.62-1.00) for LR and 0.82 (0.45-0.97) for SVM. CONCLUSION: This audio-based approach discriminates PD from healthy controls with moderate-high accuracy and separated individuals with less severe bradykinesia from those with severe bradykinesia. Sound analysis may contribute to the identification and monitoring of bradykinesia.


Subject(s)
Parkinson Disease , Humans , Parkinson Disease/complications , Parkinson Disease/diagnosis , Hypokinesia/diagnosis , Hypokinesia/etiology , Supervised Machine Learning , Support Vector Machine , Machine Learning
4.
J Neurol ; 269(7): 3821-3832, 2022 Jul.
Article in English | MEDLINE | ID: mdl-35262759

ABSTRACT

BACKGROUND: Ophthalmological disorders are common and frequently disabling for people with Parkinson's disease (PD). However, details on the prevalence, severity and impact of ophthalmological disorders thus far lacking. We aimed to identify PD patients with undetected ophthalmological disorders in a large cross-sectional, observational study. METHODS: We previously delivered a screening questionnaire to detect ophthalmological symptoms (Visual impairment in PD questionnaire; VIPD-Q) to 848 patients. Here, we report on a subgroup of 102 patients who received complete ophthalmological assessment aimed at identifying clinically relevant ophthalmological diseases, which were classified as either vison-threatening or not. Impact on daily life functioning was measured using the visual functioning-25 questionnaire (VFQ-25) and fall frequency. RESULTS: Almost all patients (92%) had one or more clinically relevant ophthalmological disorders. Of those, 77% had a potentially vision-threatening disease, while 34% had a potentially treatable ophthalmological disease which impacted on quality of life. The most prevalent ophthalmological disorders were dry eyes (86%), ocular misalignment (50%) and convergence insufficiency (41%). We found a weak but significant association between clinically relevant ophthalmological diseases and both fall frequency (R2 = 0.15, p = 0.037) and VFQ-25 score (R2 = 0.15, p = 0.02). The VIPD-Q could not correctly identify patients with relevant ophthalmological disorders. CONCLUSIONS: Surprisingly, in our study sample, many participants manifested previously undetected ophthalmological diseases, most of which threatened vision, impacted on daily life functioning and were amenable to treatment. Screening for these ophthalmological disorders using a questionnaire asking about symptoms seems insufficient. Instead, episodic ophthalmological assessments should be considered for PD patients, aiming to identify vision-threatening yet treatable diseases. TRIAL REGISTRATION: Dutch Trial Registration, NL7421.


Subject(s)
Parkinson Disease , Cross-Sectional Studies , Humans , Parkinson Disease/complications , Parkinson Disease/diagnosis , Parkinson Disease/epidemiology , Quality of Life , Vision Disorders/diagnosis , Vision Disorders/epidemiology , Vision Disorders/etiology , Vision, Ocular
5.
Neurology ; 94(14): e1539-e1547, 2020 04 07.
Article in English | MEDLINE | ID: mdl-32161030

ABSTRACT

OBJECTIVE: To determine the prevalence and clinical effect of ophthalmologic symptoms in patients with Parkinson disease (PD), compared with controls, using a standardized questionnaire. METHODS: In this observational, cross-sectional, multicenter study, 848 patients with PD and 250 healthy controls completed the Visual Impairment in Parkinson's Disease Questionnaire (VIPD-Q). The VIPD-Q addressed 4 domains according to structures: (1) ocular surface; (2) intraocular; (3) oculomotor; and (4) optic nerve. The questionnaire also assessed the effect of ophthalmologic symptoms on daily activities. RESULTS: One or more ophthalmologic symptoms were reported by 82% (95% confidence interval [CI], 80-85) of patients, compared with 48% (95% CI, 42-54) of controls (p < 0.001). Patients with PD experienced more ophthalmologic symptoms across all domains than controls (p < 0.001), as reflected by a higher VIPD-Q total score among patients (median 10 [interquartile range (IQR) 13]) than controls (median 2 [IQR 5]; p < 0.001). Ophthalmologic symptoms interfered with daily activities in 68% (95% CI, 65-71) of patients, compared with 35% (95% CI, 29-41) of controls (p < 0.001). CONCLUSION: Patients with PD have a higher prevalence of ophthalmologic symptoms than controls. Moreover, these frequently interfere with daily activities. A screening questionnaire such as the VIPD-Q may help with identifying ophthalmologic symptoms in PD, thereby enabling more timely treatment.


Subject(s)
Eye Diseases/etiology , Parkinson Disease/complications , Activities of Daily Living , Adult , Aged , Aged, 80 and over , Cross-Sectional Studies , Eye Diseases/epidemiology , Female , Humans , Male , Mass Screening , Middle Aged , Parkinson Disease/epidemiology , Prevalence , Quality of Life , Surveys and Questionnaires , Vision, Low
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