Does your doctor have enough competence to distinguish turning slowly because of stroke vs. your risk of Parkinsons post stroke? Your doctor better figure it out fast because YOU NEED PARKINSONS PREVENTION PROTOCOLS! And you don't want a wrong diagnosis.
Parkinson’s Disease May Have Link to Stroke March 2017
Turning slowly could signal Parkinson’s long before diagnosis
A 10-year study of older adults found that slower turning speed, measured by wearable sensors, could predict Parkinson’s disease 8.8 years before clinical diagnosis, with deviations in peak angular velocity detectable well before symptoms appear.
The findings, published in Annals of Neurology, suggest that wearable technology could serve as an early, noninvasive tool to identify and monitor individuals at risk for Parkinson’s, potentially enabling earlier interventions.
“This research opens a vital window for early intervention,” said Brook Galna, PhD, Murdoch University’s School of Allied Health, Perth, Australia. “By detecting changes in turning speed through wearable sensors, in combination with other early signs of Parkinson’s, we can identify individuals at risk long before symptoms become clinically apparent. Earlier detection of people at risk of developing Parkinson’s will speed the discovery and testing of neuroprotective treatments designed to slow disease progression and keep people living independently for longer.”
In the TREND study, 1,051 older adults were followed for over 10 years. Participants used wearable sensors placed on the lower back to measure turning performance during 1-minute walks down a 20-metre hallway. Peak angular velocity while turning was tracked across 5 visits, and the development of clinically diagnosed Parkinson’s disease was recorded. Longitudinal models assessed changes in turning over time, and Cox regression analysed whether baseline turning measures predicted time to Parkinson’s onset, controlling for age and sex.
During follow-up, 23 participants were diagnosed with Parkinson’s disease, on average 5.3 years after baseline. Slower turning speed at baseline was associated with a higher risk of developing Parkinson’s, with detectable deviations from controls emerging approximately 8.8 years before diagnosis. A machine learning model combining age, sex, and turning speed identified 60% of prediagnostic Parkinson’s cases and 80.5% of non-cases.
“This is, to our knowledge, the first study to longitudinally assess turning in older adults at risk of Parkinson’s disease, with multiple follow-ups,” the authors wrote. “Our results suggest that turning measures may aid in predicting the clinical Parkinson’s disease diagnosis and enhance a panel of prediagnostic markers for identifying high-risk individuals. Using a single wearable inertial measurement unit and validated algorithms, the approach used in this study is practical for large-scale screening for Parkinson’s disease.”
Reference: https://onlinelibrary.wiley.com/doi/10.1002/ana.78034
SOURCE: Murdoch University
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