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Smartwatches offer window into Parkinson's disease progression

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Ubiquitous wearable technologies, like smartwatches, could help researchers better understand progressive neurological disorders like Parkinson's disease and speed up the approval of new therapies, a critical need given that no drugs exist to slow progression of the world's fastest growing brain disease.

New research appearing in the journal npj Parkinson's Disease adds to growing evidence that widely used and user-friendly consumer devices, in this instance an Apple Watch paired with an iPhone, can detect changes in Parkinson's symptoms over time in individuals in the early stages of the disease.

"Digital measures hold the promise to provide objective, sensitive, real-world measures of disease progression in Parkinson's disease," said Jamie Adams, MD, an associate professor of Neurology at the University of Rochester Medical Center, the Center for Health and Technology, and lead author of the study.

"This study shows that data generated by smartwatches and smartphones can remotely monitor and detect changes in multiple domains of the disease. These digital assessments could help evaluate the efficacy of future therapies."

"On behalf of Critical Path Institute, we are delighted to see the astounding progress of this unique project," said Diane Stephenson, Ph.D., executive director of Critical Path for Parkinson's consortium and co-author of the study.

"The early and often feedback from regulators have shaped this study in ways that now can link the clinical meaningfulness of symptoms measured by digital health technologies to the voice of people with lived experience. By partnering with patients, regulators, industry, and academic experts, this project is serving as a precedent for other disease areas to follow."

Parkinson's is a complex disease, and the onset and severity of symptoms and progression varies widely from patient to patient. Traditional tools employed to track the disease are often subjective and collect information episodically during clinic visits. As a result, these tools do not adequately portray the day-to-day experience of individuals with Parkinson's, limitations that have contributed to the slow pace of new therapies.

In contrast, smartwatches and smartphones can passively monitor many of the symptoms of the disease, such as gait and tremor. Additional information can be collected through tasks such as finger tapping and voice recording to measure speech-related symptoms.

Adams and her colleagues recently demonstrated the devices could detect differences between individuals with early, untreated Parkson's and age-matched controls.

In the new study, called WATCH-PD, the researchers followed participants with early-stage Parkinson's for 12 months.

Over the course of the year, the data collected by the devices showed that participants with early Parkinson's experienced significant declines in measures of gait, an increase in tremor, and modest changes in speech. The smartwatch was able to detect decreases in arm swing, a common clinical feature of the disease, and activity in the form of the number of daily steps. The progression of symptoms in individuals in the study was consistent with other long-term studies of the disease.

The study was designed to replicate a multi-center clinical trial in individuals with early and untreated Parkinson's disease and involved the participation and input from the , regulators, investigators, and individuals with disease. The WATCH-PD study has recently been extended and will follow participants for an additional 18 months.

"This study brings us closer to having meaningful digital measures for future use in Parkinson's clinical trials, which may speed up therapeutic development and get treatments to our patients faster," said Adams.

More information: Using a Smartwatch and Smartphone to Assess Early Parkinson's Disease in the WATCH-PD Study—12 month results, npj Parkinson's Disease (2024). DOI: 10.1038/s41531-024-00721-2

Journal information: npj Parkinson's Disease
Citation: Smartwatches offer window into Parkinson's disease progression (2024, June 12) retrieved 17 July 2024 from
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