scholarly journals Objective measurement in Parkinson’s disease: a descriptive analysis of Parkinson’s symptom scores from a large population of patients across the world using the Personal KinetiGraph®

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Rajesh Pahwa ◽  
Filip Bergquist ◽  
Malcolm Horne ◽  
Michael E. Minshall
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Descriptive Analysis ◽  
Large Population ◽  
Objective Measurement ◽  
The World ◽  
Symptom Scores

scholarly journals Life with Parkinson’s Disease During the COVID-19 Pandemic: The Pressure Is “OFF”

2021 ◽  
pp. 1-5
Author(s):  
Trine HØrmann Thomsen ◽  
Susanna M. Wallerstedt ◽  
Kristian Winge ◽  
Filip Bergquist
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Motor Symptom ◽  
Free Text ◽  
Symptom Scores ◽  
Related Quality ◽  
Health Related ◽  
Potential Impact ◽  
Swedish Cohort

People with Parkinson’s disease (PwP) have been suggested to be more vulnerable to negative psychological and psycho-social effects of the COVID-19 pandemic. Our aim was to assess the potential impact of the COVID-19 pandemic in PwP. A Danish/Swedish cohort of 67 PwP was analysed. Health-related quality of life (HRQL), depression, anxiety, apathy, sleep and motor symptom-scores were included in the analysis. Additionally, the Danish participants provided free-text descriptions of life during the pandemic. Overall, the participants reported significantly better HRQL during the COVID-19 period compared with before. Reduced social pressure may be part of the explanation. Despite worsened anxiety, night sleep improved.

scholarly journals An ensemble feature selection framework for early detection of Parkinson's disease based on feature correlation analysis

2021 ◽  
Author(s):  
Sarfaraz Masood ◽  
Khwaja Wisal ◽  
Om Pal ◽  
Chanchal Kumar
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Feature Selection ◽  
Large Population ◽  
Feature Selection Method ◽  
Sampling Strategy ◽  
Chi Square ◽  
Accurate Identification ◽  
Initial Symptoms ◽  
Selection Framework

Parkinson’s disease (PD) is a highly common neurological disease affecting a large population worldwide. Several studies revealed that the degradation of voice is one of its initial symptoms, which is also known as dysarthria. In this work, we attempt to explore and harness the correlation between various features in the voice samples observed in PD subjects. To do so, a novel two-level ensemble-based feature selection method has been proposed, whose results were combined with an MLP based classifier using K-fold cross-validation as the re-sampling strategy. Three separate benchmark datasets of voice samples were used for the experimentation work. Results strongly suggest that the proposed feature selection framework helps in identifying an optimal set of features which further helps in highly accurate identification of PD patients using a Multi-Layer Perceptron from their voice samples. The proposed model achieves an overall accuracy of 98.3%, 95.1% and 100% on the three selected datasets respectively. These results are significantly better than those achieved by a non-feature selection based option, and even the recently proposed chi-square based feature selection option.

Molecular Interactions of α-Synuclein, Mitochondria, and Cellular Degradation Pathways in Parkinson's Disease

2020 ◽  
pp. 212-234
Author(s):  
Mansi Verma ◽  
Sujata Basu ◽  
Manisha Singh ◽  
Rachana R. ◽  
Simrat Kaur ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Molecular Interactions ◽  
Therapeutic Target ◽  
Molecular Mechanisms ◽  
Degradation Pathways ◽  
Functional Changes ◽  
The World ◽  
Novel Therapeutic

Parkinson's disease (PD) has been reported to be the most common neurodegenerative diseases all over the world. Several proteins are associated and responsible for causing PD. One such protein is α-synuclein. This chapter discusses the role of α-synuclein in PD. Various genetic and epigenetic factors, which cause structural and functional changes for α-synuclein, have been described. Several molecular mechanisms, which are involved in regulating mitochondrial and lysosomal related pathways and are linked to α-synuclein, have been discussed in detail. The knowledge gathered is further discussed in terms of using α-synuclein as a diagnostic marker for PD and as a novel therapeutic target for the same.

THUR 121 Identifying participants with parkinson’s disease in uk biobank

2018 ◽  
Vol 89 (10) ◽  
pp. A13.2-A13
Author(s):  
Bush Kathryn ◽  
Rannikmae Kristiina ◽  
Schnier Christian ◽  
Wilkinson Timothy ◽  
Nolan John ◽  
...  
Keyword(s):  
Primary Care ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Secondary Care ◽  
Large Population ◽  
Free Text ◽  
Uk Biobank ◽  
Predictive Values ◽  
Diagnostic Codes ◽  
The Uk

BackgroundLinkage to routinely collected NHS data from primary, secondary care and death certificates enables identification of participants with Parkinson’s Disease (PD) within the UK Biobank cohort of 5 00 000 adults. Validation of the accuracy of this data is required prior to their use in research studies.MethodIn this validation study participants (n=125) with a code indicating PD were identified from a sample of 17 000 participants in the cohort. Diagnoses were validated by expert adjudicators, based on free text electronic medical records. Positive predictive values (PPV,% of cases identified that are true cases) were calculated.ResultsPrimary care diagnostic codes identified 93% of PD cases, with a PPV of 95%. Combined secondary care and death data identified 42% of PD cases with a PPV of 84%.Combining diagnostic and medication codes identified more participants, but did not increase the PPV.ConclusionsThis study suggests that linkage to routinely collected healthcare data is a reliable method for identifying participants with PD in the UK Biobank cohort.Primary care diagnostic codes identified the highest proportion of participants and had the highest PPV, demonstrating the value of using primary care data to identify cases of disease in large population based cohort studies.

scholarly journals A Gamified Assessment Platform for Predicting the Risk of Dementia +Parkinson’s disease (DPD) Co-Morbidity

2020 ◽  
Author(s):  
Zhiwei Zeng ◽  
Hongchao Jiang ◽  
Yanci Zhang ◽  
Zhiqi Shen ◽  
Jun Ji ◽  
...  
Keyword(s):  
Machine Learning ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Early Detection ◽  
Predictive Analytics ◽  
Population Aging ◽  
Quality Care ◽  
Medical Conditions ◽  
Co Morbidity ◽  
The World

Population aging is becoming an increasingly important issue around the world. As people live longer, they also tend to suffer from more challenging medical conditions. Currently, there is a lack of a holistic technology-powered solution for providing quality care at affordable cost to patients suffering from co-morbidity. In this paper, we demonstrate a novel AI-powered solution to provide early detection of the onset of Dementia + Parkinson's disease (DPD) co-morbidity, a condition which severely limits a senior's ability to live actively and independently. We investigate useful in-game behaviour markers which can support machine learning-based predictive analytics on seniors' risk of developing DPD co-morbidity.

scholarly journals Objective measurement in routine care of people with Parkinson’s disease improves outcomes

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Parisa Farzanehfar ◽  
Holly Woodrow ◽  
Michelle Braybrook ◽  
Sarah McGregor ◽  
Andrew Evans ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Routine Care ◽  
Objective Measurement

scholarly journals A blinded, controlled trial of objective measurement in Parkinson’s disease

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Holly Woodrow ◽  
◽  
Malcolm K. Horne ◽  
Chathurini V. Fernando ◽  
Katya E. Kotschet
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Controlled Trial ◽  
Objective Measurement ◽  
Controlled Study ◽  
Motor Disability ◽  
Therapeutic Decisions ◽  
Assessment And Treatment ◽  
Disease Rating ◽  
Movement Disorder Society

AbstractMedical conditions with effective therapies are usually managed with objective measurement and therapeutic targets. Parkinson’s disease has effective therapies, but continuous objective measurement has only recently become available. This blinded, controlled study examined whether management of Parkinson’s disease was improved when clinical assessment and therapeutic decisions were aided by objective measurement. The primary endpoint was improvement in the Movement Disorder Society-United Parkinson’s Disease Rating Scale’s (MDS-UPDRS) Total Score. In one arm, objective measurement assisted doctors to alter therapy over successive visits until objective measurement scores were in target. Patients in the other arm were conventionally assessed and therapies were changed until judged optimal. There were 75 subjects in the objective measurement arm and 79 in the arm with conventional assessment and treatment. There were statistically significant improvements in the moderate clinically meaningful range in the MDS-UPDRS Total, III, IV scales in the arm using objective measurement, but not in the conventionally treated arm. These findings show that global motor and non-motor disability is improved when management of Parkinson’s disease is assisted by objective measurement.

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