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Updated: Aug 12, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Clinical features and electrocardiogram parameters in Parkinson's disease
Hitoshi Mochizuki1, Nobuyuki Ishii1, Kazutaka Shiomi1
1Division of Neurology, Respirology, Endocrinology and Metabolism, Department of Internal Medicine, University of Miyazaki, Japan.
Electrocardiogram (ECG) parameters correlate with clinical features in Parkinson's disease (PD) patients. Specific ECG intervals reflect disease progression and autonomic dysfunction, guiding clinical attention.
Area of Science:
- Neurology
- Cardiology
- Medical Diagnostics
Background:
- Parkinson's disease (PD) is a neurodegenerative disorder affecting motor function.
- Autonomic dysfunction is a common non-motor symptom in PD.
- Electrocardiogram (ECG) parameters may offer insights into PD pathophysiology.
Purpose of the Study:
- To investigate the relationship between clinical features and ECG parameters in PD patients.
- To determine if ECG parameters can serve as indicators of disease progression or autonomic dysfunction in PD.
Main Methods:
- Analysis of clinical data including body mass index (BMI), age, disease duration, and Hoehn and Yahr stage from 156 PD patients.
- Measurement and analysis of ECG parameters: RR, PR, QRS, QT intervals, and heart rate-corrected QT (QTc).
- Statistical correlation analysis between clinical features and ECG parameters.
Main Results:
- Body mass index (BMI) showed a positive correlation with PR and QRS intervals.
- QRS interval positively correlated with disease duration and Hoehn and Yahr stage.
- QT interval and QTc showed a positive correlation with patient age.
- Significant associations were found between various clinical features and ECG parameters.
Conclusions:
- Clinical features and ECG parameters are closely associated in Parkinson's disease.
- Certain ECG parameters, such as QRS, QT, and QTc intervals, may reflect disease progression and autonomic dysfunction.
- Increased attention to ECG parameters in PD patient management is warranted.
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